Basic Setup¶
In [40]:
import os
os.environ["CUDA_VISIBLE_DEVICES"]="3"
import tensorflow as tf
from keras import backend as K
config = tf.ConfigProto()
config.gpu_options.allow_growth=True
sess = tf.Session(config=config)
K.set_session(sess)
In [41]:
import os, sys
sys.path.append('..')
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import matplotlib as mpl
mpl.rcParams['figure.figsize'] = (11,8)
In [42]:
import keras
import keras_resnet.models
shape, classes = (32, 32, 3), 10
x = keras.layers.Input(shape)
model = keras_resnet.models.ResNet50(x, classes=classes)
model.compile("adam", "categorical_crossentropy", ["accuracy"])
(training_x, training_y), (_, _) = keras.datasets.cifar10.load_data()
training_y = keras.utils.np_utils.to_categorical(training_y)
model.fit(training_x, training_y)
Epoch 1/1 50000/50000 [==============================] - 59s 1ms/step - loss: 14.5063 - acc: 0.1000
Out[42]:
<keras.callbacks.History at 0x7ff4448b1908>
ResNet¶
In [43]:
#Import kera library and other libaries
from __future__ import print_function
import keras
from keras.layers import Dense, Conv2D, BatchNormalization, Activation
from keras.layers import AveragePooling2D, Input, Flatten
from keras.optimizers import Adam
from keras.callbacks import ModelCheckpoint, LearningRateScheduler
from keras.callbacks import ReduceLROnPlateau
from keras.preprocessing.image import ImageDataGenerator
from keras.regularizers import l2
from keras import backend as K
from keras.models import Model
from keras.datasets import cifar10
import numpy as np
import os
In [44]:
#Set batch size, epochs and resnet depth
# Training parameters
batch_size = 32 # orig paper trained all networks with batch_size=128
epochs = 50
data_augmentation = False
num_classes = 10
# Subtracting pixel mean improves accuracy
subtract_pixel_mean = True
# Model parameter
# ----------------------------------------------------------------------------
# | | 200-epoch | Orig Paper| 200-epoch | Orig Paper| sec/epoch
# Model | n | ResNet v1 | ResNet v1 | ResNet v2 | ResNet v2 | GTX1080Ti
# |v1(v2)| %Accuracy | %Accuracy | %Accuracy | %Accuracy | v1 (v2)
# ----------------------------------------------------------------------------
# ResNet20 | 3 (2)| 92.16 | 91.25 | ----- | ----- | 35 (---)
# ResNet32 | 5(NA)| 92.46 | 92.49 | NA | NA | 50 ( NA)
# ResNet44 | 7(NA)| 92.50 | 92.83 | NA | NA | 70 ( NA)
# ResNet56 | 9 (6)| 92.71 | 93.03 | 93.01 | NA | 90 (100)
# ResNet110 |18(12)| 92.65 | 93.39+-.16| 93.15 | 93.63 | 165(180)
# ResNet164 |27(18)| ----- | 94.07 | ----- | 94.54 | ---(---)
# ResNet1001| (111)| ----- | 92.39 | ----- | 95.08+-.14| ---(---)
# ---------------------------------------------------------------------------
n = 3
# Model version
# Orig paper: version = 1 (ResNet v1), Improved ResNet: version = 2 (ResNet v2)
version = 1
# Computed depth from supplied model parameter n
if version == 1:
depth = n * 6 + 2
elif version == 2:
depth = n * 9 + 2
# Model name, depth and version
model_type = 'ResNet%dv%d' % (depth, version)
In [45]:
#Data preparation
# Load the CIFAR10 data.
(x_train, y_train), (x_test, y_test) = cifar10.load_data()
# Input image dimensions.
input_shape = x_train.shape[1:]
# Normalize data.
x_train = x_train.astype('float32') / 255
x_test = x_test.astype('float32') / 255
# If subtract pixel mean is enabled
if subtract_pixel_mean:
x_train_mean = np.mean(x_train, axis=0)
x_train -= x_train_mean
x_test -= x_train_mean
print('x_train shape:', x_train.shape)
print(x_train.shape[0], 'train samples')
print(x_test.shape[0], 'test samples')
print('y_train shape:', y_train.shape)
# Convert class vectors to binary class matrices.
y_train = keras.utils.to_categorical(y_train, num_classes)
y_test = keras.utils.to_categorical(y_test, num_classes)
x_train shape: (50000, 32, 32, 3) 50000 train samples 10000 test samples y_train shape: (50000, 1)
In [46]:
#Learning rate strategy
def lr_schedule(epoch):
"""Learning Rate Schedule
Learning rate is scheduled to be reduced after 80, 120, 160, 180 epochs.
Called automatically every epoch as part of callbacks during training.
# Arguments
epoch (int): The number of epochs
# Returns
lr (float32): learning rate
"""
lr = 1e-3
if epoch > 180:
lr *= 0.5e-3
elif epoch > 160:
lr *= 1e-3
elif epoch > 120:
lr *= 1e-2
elif epoch > 80:
lr *= 1e-1
print('Learning rate: ', lr)
return lr
In [47]:
#Create resnet layer
def resnet_layer(inputs,
num_filters=16,
kernel_size=3,
strides=1,
activation='relu',
batch_normalization=True,
conv_first=True):
"""2D Convolution-Batch Normalization-Activation stack builder
# Arguments
inputs (tensor): input tensor from input image or previous layer
num_filters (int): Conv2D number of filters
kernel_size (int): Conv2D square kernel dimensions
strides (int): Conv2D square stride dimensions
activation (string): activation name
batch_normalization (bool): whether to include batch normalization
conv_first (bool): conv-bn-activation (True) or
activation-bn-conv (False)
# Returns
x (tensor): tensor as input to the next layer
"""
conv = Conv2D(num_filters,
kernel_size=kernel_size,
strides=strides,
padding='same',
kernel_initializer='he_normal',
kernel_regularizer=l2(1e-4))
x = inputs
if conv_first:
x = conv(x)
if batch_normalization:
x = BatchNormalization()(x)
if activation is not None:
x = Activation(activation)(x)
else:
if batch_normalization:
x = BatchNormalization()(x)
if activation is not None:
x = Activation(activation)(x)
x = conv(x)
return x
In [48]:
#Stacks of 2 x (3 x 3) Conv2D-BN-ReLU resnet
def resnet_v1(input_shape, depth, num_classes=10):
"""ResNet Version 1 Model builder [a]
Stacks of 2 x (3 x 3) Conv2D-BN-ReLU
Last ReLU is after the shortcut connection.
At the beginning of each stage, the feature map size is halved (downsampled)
by a convolutional layer with strides=2, while the number of filters is
doubled. Within each stage, the layers have the same number filters and the
same number of filters.
Features maps sizes:
stage 0: 32x32, 16
stage 1: 16x16, 32
stage 2: 8x8, 64
The Number of parameters is approx the same as Table 6 of [a]:
ResNet20 0.27M
ResNet32 0.46M
ResNet44 0.66M
ResNet56 0.85M
ResNet110 1.7M
# Arguments
input_shape (tensor): shape of input image tensor
depth (int): number of core convolutional layers
num_classes (int): number of classes (CIFAR10 has 10)
# Returns
model (Model): Keras model instance
"""
if (depth - 2) % 6 != 0:
raise ValueError('depth should be 6n+2 (eg 20, 32, 44 in [a])')
# Start model definition.
num_filters = 16
num_res_blocks = int((depth - 2) / 6)
inputs = Input(shape=input_shape)
x = resnet_layer(inputs=inputs)
# Instantiate the stack of residual units
for stack in range(3):
for res_block in range(num_res_blocks):
strides = 1
if stack > 0 and res_block == 0: # first layer but not first stack
strides = 2 # downsample
y = resnet_layer(inputs=x,
num_filters=num_filters,
strides=strides)
y = resnet_layer(inputs=y,
num_filters=num_filters,
activation=None)
if stack > 0 and res_block == 0: # first layer but not first stack
# linear projection residual shortcut connection to match
# changed dims
x = resnet_layer(inputs=x,
num_filters=num_filters,
kernel_size=1,
strides=strides,
activation=None,
batch_normalization=False)
x = keras.layers.add([x, y])
x = Activation('relu')(x)
num_filters *= 2
# Add classifier on top.
# v1 does not use BN after last shortcut connection-ReLU
x = AveragePooling2D(pool_size=8)(x)
y = Flatten()(x)
outputs = Dense(num_classes,
activation='softmax',
kernel_initializer='he_normal')(y)
# Instantiate model.
model = Model(inputs=inputs, outputs=outputs)
return model
In [49]:
#Stacks of (1 x 1)-(3 x 3)-(1 x 1) BN-ReLU-Conv2D resnet
def resnet_v2(input_shape, depth, num_classes=10):
"""ResNet Version 2 Model builder [b]
Stacks of (1 x 1)-(3 x 3)-(1 x 1) BN-ReLU-Conv2D or also known as
bottleneck layer
First shortcut connection per layer is 1 x 1 Conv2D.
Second and onwards shortcut connection is identity.
At the beginning of each stage, the feature map size is halved (downsampled)
by a convolutional layer with strides=2, while the number of filter maps is
doubled. Within each stage, the layers have the same number filters and the
same filter map sizes.
Features maps sizes:
conv1 : 32x32, 16
stage 0: 32x32, 64
stage 1: 16x16, 128
stage 2: 8x8, 256
# Arguments
input_shape (tensor): shape of input image tensor
depth (int): number of core convolutional layers
num_classes (int): number of classes (CIFAR10 has 10)
# Returns
model (Model): Keras model instance
"""
if (depth - 2) % 9 != 0:
raise ValueError('depth should be 9n+2 (eg 56 or 110 in [b])')
# Start model definition.
num_filters_in = 16
num_res_blocks = int((depth - 2) / 9)
inputs = Input(shape=input_shape)
# v2 performs Conv2D with BN-ReLU on input before splitting into 2 paths
x = resnet_layer(inputs=inputs,
num_filters=num_filters_in,
conv_first=True)
# Instantiate the stack of residual units
for stage in range(3):
for res_block in range(num_res_blocks):
activation = 'relu'
batch_normalization = True
strides = 1
if stage == 0:
num_filters_out = num_filters_in * 4
if res_block == 0: # first layer and first stage
activation = None
batch_normalization = False
else:
num_filters_out = num_filters_in * 2
if res_block == 0: # first layer but not first stage
strides = 2 # downsample
# bottleneck residual unit
y = resnet_layer(inputs=x,
num_filters=num_filters_in,
kernel_size=1,
strides=strides,
activation=activation,
batch_normalization=batch_normalization,
conv_first=False)
y = resnet_layer(inputs=y,
num_filters=num_filters_in,
conv_first=False)
y = resnet_layer(inputs=y,
num_filters=num_filters_out,
kernel_size=1,
conv_first=False)
if res_block == 0:
# linear projection residual shortcut connection to match
# changed dims
x = resnet_layer(inputs=x,
num_filters=num_filters_out,
kernel_size=1,
strides=strides,
activation=None,
batch_normalization=False)
x = keras.layers.add([x, y])
num_filters_in = num_filters_out
# Add classifier on top.
# v2 has BN-ReLU before Pooling
x = BatchNormalization()(x)
x = Activation('relu')(x)
x = AveragePooling2D(pool_size=8)(x)
y = Flatten()(x)
outputs = Dense(num_classes,
activation='softmax',
kernel_initializer='he_normal')(y)
# Instantiate model.
model = Model(inputs=inputs, outputs=outputs)
return model
In [50]:
#Create resnet, train model and test model
if version == 2:
model = resnet_v2(input_shape=input_shape, depth=depth)
else:
model = resnet_v1(input_shape=input_shape, depth=depth)
model.compile(loss='categorical_crossentropy',
optimizer=Adam(lr=lr_schedule(0)),
metrics=['accuracy'])
model.summary()
print(model_type)
# Prepare model model saving directory.
save_dir = os.path.join(os.getcwd(), 'saved_models')
model_name = 'cifar10_%s_model.{epoch:03d}.h5' % model_type
if not os.path.isdir(save_dir):
os.makedirs(save_dir)
filepath = os.path.join(save_dir, model_name)
# Prepare callbacks for model saving and for learning rate adjustment.
checkpoint = ModelCheckpoint(filepath=filepath,
monitor='val_acc',
verbose=1,
save_best_only=True)
lr_scheduler = LearningRateScheduler(lr_schedule)
lr_reducer = ReduceLROnPlateau(factor=np.sqrt(0.1),
cooldown=0,
patience=5,
min_lr=0.5e-6)
callbacks = [checkpoint, lr_reducer, lr_scheduler]
# Run training, with or without data augmentation.
if not data_augmentation:
print('Not using data augmentation.')
model.fit(x_train, y_train,
batch_size=batch_size,
epochs=epochs,
validation_data=(x_test, y_test),
shuffle=True,
callbacks=callbacks)
else:
print('Using real-time data augmentation.')
# This will do preprocessing and realtime data augmentation:
datagen = ImageDataGenerator(
# set input mean to 0 over the dataset
featurewise_center=False,
# set each sample mean to 0
samplewise_center=False,
# divide inputs by std of dataset
featurewise_std_normalization=False,
# divide each input by its std
samplewise_std_normalization=False,
# apply ZCA whitening
zca_whitening=False,
# randomly rotate images in the range (deg 0 to 180)
rotation_range=0,
# randomly shift images horizontally
width_shift_range=0.1,
# randomly shift images vertically
height_shift_range=0.1,
# randomly flip images
horizontal_flip=True,
# randomly flip images
vertical_flip=False)
# Compute quantities required for featurewise normalization
# (std, mean, and principal components if ZCA whitening is applied).
datagen.fit(x_train)
# Fit the model on the batches generated by datagen.flow().
model.fit_generator(datagen.flow(x_train, y_train, batch_size=batch_size),
validation_data=(x_test, y_test),
epochs=epochs, verbose=1, workers=4,
callbacks=callbacks)
# Score trained model.
scores = model.evaluate(x_test, y_test, verbose=1)
print('Test loss:', scores[0])
print('Test accuracy:', scores[1])
Learning rate: 0.001
__________________________________________________________________________________________________
Layer (type) Output Shape Param # Connected to
==================================================================================================
input_2 (InputLayer) (None, 32, 32, 3) 0
__________________________________________________________________________________________________
conv2d_21 (Conv2D) (None, 32, 32, 16) 448 input_2[0][0]
__________________________________________________________________________________________________
batch_normalization_21 (BatchNo (None, 32, 32, 16) 64 conv2d_21[0][0]
__________________________________________________________________________________________________
activation_31 (Activation) (None, 32, 32, 16) 0 batch_normalization_21[0][0]
__________________________________________________________________________________________________
conv2d_22 (Conv2D) (None, 32, 32, 16) 2320 activation_31[0][0]
__________________________________________________________________________________________________
batch_normalization_22 (BatchNo (None, 32, 32, 16) 64 conv2d_22[0][0]
__________________________________________________________________________________________________
activation_32 (Activation) (None, 32, 32, 16) 0 batch_normalization_22[0][0]
__________________________________________________________________________________________________
conv2d_23 (Conv2D) (None, 32, 32, 16) 2320 activation_32[0][0]
__________________________________________________________________________________________________
batch_normalization_23 (BatchNo (None, 32, 32, 16) 64 conv2d_23[0][0]
__________________________________________________________________________________________________
add_1 (Add) (None, 32, 32, 16) 0 activation_31[0][0]
batch_normalization_23[0][0]
__________________________________________________________________________________________________
activation_33 (Activation) (None, 32, 32, 16) 0 add_1[0][0]
__________________________________________________________________________________________________
conv2d_24 (Conv2D) (None, 32, 32, 16) 2320 activation_33[0][0]
__________________________________________________________________________________________________
batch_normalization_24 (BatchNo (None, 32, 32, 16) 64 conv2d_24[0][0]
__________________________________________________________________________________________________
activation_34 (Activation) (None, 32, 32, 16) 0 batch_normalization_24[0][0]
__________________________________________________________________________________________________
conv2d_25 (Conv2D) (None, 32, 32, 16) 2320 activation_34[0][0]
__________________________________________________________________________________________________
batch_normalization_25 (BatchNo (None, 32, 32, 16) 64 conv2d_25[0][0]
__________________________________________________________________________________________________
add_2 (Add) (None, 32, 32, 16) 0 activation_33[0][0]
batch_normalization_25[0][0]
__________________________________________________________________________________________________
activation_35 (Activation) (None, 32, 32, 16) 0 add_2[0][0]
__________________________________________________________________________________________________
conv2d_26 (Conv2D) (None, 32, 32, 16) 2320 activation_35[0][0]
__________________________________________________________________________________________________
batch_normalization_26 (BatchNo (None, 32, 32, 16) 64 conv2d_26[0][0]
__________________________________________________________________________________________________
activation_36 (Activation) (None, 32, 32, 16) 0 batch_normalization_26[0][0]
__________________________________________________________________________________________________
conv2d_27 (Conv2D) (None, 32, 32, 16) 2320 activation_36[0][0]
__________________________________________________________________________________________________
batch_normalization_27 (BatchNo (None, 32, 32, 16) 64 conv2d_27[0][0]
__________________________________________________________________________________________________
add_3 (Add) (None, 32, 32, 16) 0 activation_35[0][0]
batch_normalization_27[0][0]
__________________________________________________________________________________________________
activation_37 (Activation) (None, 32, 32, 16) 0 add_3[0][0]
__________________________________________________________________________________________________
conv2d_28 (Conv2D) (None, 16, 16, 32) 4640 activation_37[0][0]
__________________________________________________________________________________________________
batch_normalization_28 (BatchNo (None, 16, 16, 32) 128 conv2d_28[0][0]
__________________________________________________________________________________________________
activation_38 (Activation) (None, 16, 16, 32) 0 batch_normalization_28[0][0]
__________________________________________________________________________________________________
conv2d_29 (Conv2D) (None, 16, 16, 32) 9248 activation_38[0][0]
__________________________________________________________________________________________________
conv2d_30 (Conv2D) (None, 16, 16, 32) 544 activation_37[0][0]
__________________________________________________________________________________________________
batch_normalization_29 (BatchNo (None, 16, 16, 32) 128 conv2d_29[0][0]
__________________________________________________________________________________________________
add_4 (Add) (None, 16, 16, 32) 0 conv2d_30[0][0]
batch_normalization_29[0][0]
__________________________________________________________________________________________________
activation_39 (Activation) (None, 16, 16, 32) 0 add_4[0][0]
__________________________________________________________________________________________________
conv2d_31 (Conv2D) (None, 16, 16, 32) 9248 activation_39[0][0]
__________________________________________________________________________________________________
batch_normalization_30 (BatchNo (None, 16, 16, 32) 128 conv2d_31[0][0]
__________________________________________________________________________________________________
activation_40 (Activation) (None, 16, 16, 32) 0 batch_normalization_30[0][0]
__________________________________________________________________________________________________
conv2d_32 (Conv2D) (None, 16, 16, 32) 9248 activation_40[0][0]
__________________________________________________________________________________________________
batch_normalization_31 (BatchNo (None, 16, 16, 32) 128 conv2d_32[0][0]
__________________________________________________________________________________________________
add_5 (Add) (None, 16, 16, 32) 0 activation_39[0][0]
batch_normalization_31[0][0]
__________________________________________________________________________________________________
activation_41 (Activation) (None, 16, 16, 32) 0 add_5[0][0]
__________________________________________________________________________________________________
conv2d_33 (Conv2D) (None, 16, 16, 32) 9248 activation_41[0][0]
__________________________________________________________________________________________________
batch_normalization_32 (BatchNo (None, 16, 16, 32) 128 conv2d_33[0][0]
__________________________________________________________________________________________________
activation_42 (Activation) (None, 16, 16, 32) 0 batch_normalization_32[0][0]
__________________________________________________________________________________________________
conv2d_34 (Conv2D) (None, 16, 16, 32) 9248 activation_42[0][0]
__________________________________________________________________________________________________
batch_normalization_33 (BatchNo (None, 16, 16, 32) 128 conv2d_34[0][0]
__________________________________________________________________________________________________
add_6 (Add) (None, 16, 16, 32) 0 activation_41[0][0]
batch_normalization_33[0][0]
__________________________________________________________________________________________________
activation_43 (Activation) (None, 16, 16, 32) 0 add_6[0][0]
__________________________________________________________________________________________________
conv2d_35 (Conv2D) (None, 8, 8, 64) 18496 activation_43[0][0]
__________________________________________________________________________________________________
batch_normalization_34 (BatchNo (None, 8, 8, 64) 256 conv2d_35[0][0]
__________________________________________________________________________________________________
activation_44 (Activation) (None, 8, 8, 64) 0 batch_normalization_34[0][0]
__________________________________________________________________________________________________
conv2d_36 (Conv2D) (None, 8, 8, 64) 36928 activation_44[0][0]
__________________________________________________________________________________________________
conv2d_37 (Conv2D) (None, 8, 8, 64) 2112 activation_43[0][0]
__________________________________________________________________________________________________
batch_normalization_35 (BatchNo (None, 8, 8, 64) 256 conv2d_36[0][0]
__________________________________________________________________________________________________
add_7 (Add) (None, 8, 8, 64) 0 conv2d_37[0][0]
batch_normalization_35[0][0]
__________________________________________________________________________________________________
activation_45 (Activation) (None, 8, 8, 64) 0 add_7[0][0]
__________________________________________________________________________________________________
conv2d_38 (Conv2D) (None, 8, 8, 64) 36928 activation_45[0][0]
__________________________________________________________________________________________________
batch_normalization_36 (BatchNo (None, 8, 8, 64) 256 conv2d_38[0][0]
__________________________________________________________________________________________________
activation_46 (Activation) (None, 8, 8, 64) 0 batch_normalization_36[0][0]
__________________________________________________________________________________________________
conv2d_39 (Conv2D) (None, 8, 8, 64) 36928 activation_46[0][0]
__________________________________________________________________________________________________
batch_normalization_37 (BatchNo (None, 8, 8, 64) 256 conv2d_39[0][0]
__________________________________________________________________________________________________
add_8 (Add) (None, 8, 8, 64) 0 activation_45[0][0]
batch_normalization_37[0][0]
__________________________________________________________________________________________________
activation_47 (Activation) (None, 8, 8, 64) 0 add_8[0][0]
__________________________________________________________________________________________________
conv2d_40 (Conv2D) (None, 8, 8, 64) 36928 activation_47[0][0]
__________________________________________________________________________________________________
batch_normalization_38 (BatchNo (None, 8, 8, 64) 256 conv2d_40[0][0]
__________________________________________________________________________________________________
activation_48 (Activation) (None, 8, 8, 64) 0 batch_normalization_38[0][0]
__________________________________________________________________________________________________
conv2d_41 (Conv2D) (None, 8, 8, 64) 36928 activation_48[0][0]
__________________________________________________________________________________________________
batch_normalization_39 (BatchNo (None, 8, 8, 64) 256 conv2d_41[0][0]
__________________________________________________________________________________________________
add_9 (Add) (None, 8, 8, 64) 0 activation_47[0][0]
batch_normalization_39[0][0]
__________________________________________________________________________________________________
activation_49 (Activation) (None, 8, 8, 64) 0 add_9[0][0]
__________________________________________________________________________________________________
average_pooling2d_1 (AveragePoo (None, 1, 1, 64) 0 activation_49[0][0]
__________________________________________________________________________________________________
flatten_6 (Flatten) (None, 64) 0 average_pooling2d_1[0][0]
__________________________________________________________________________________________________
dense_18 (Dense) (None, 10) 650 flatten_6[0][0]
==================================================================================================
Total params: 274,442
Trainable params: 273,066
Non-trainable params: 1,376
__________________________________________________________________________________________________
ResNet20v1
Not using data augmentation.
Train on 50000 samples, validate on 10000 samples
Learning rate: 0.001
Epoch 1/50
49984/50000 [============================>.] - ETA: 0s - loss: 1.4233 - acc: 0.5338Epoch 00001: val_acc improved from -inf to 0.47890, saving model to /home/tuandinh/Desktop/tensorflow/saved_models/cifar10_ResNet20v1_model.001.h5
50000/50000 [==============================] - 82s 2ms/step - loss: 1.4233 - acc: 0.5338 - val_loss: 1.6147 - val_acc: 0.4789
Learning rate: 0.001
Epoch 2/50
49984/50000 [============================>.] - ETA: 0s - loss: 1.0325 - acc: 0.6844Epoch 00002: val_acc improved from 0.47890 to 0.59990, saving model to /home/tuandinh/Desktop/tensorflow/saved_models/cifar10_ResNet20v1_model.002.h5
50000/50000 [==============================] - 75s 1ms/step - loss: 1.0324 - acc: 0.6844 - val_loss: 1.2812 - val_acc: 0.5999
Learning rate: 0.001
Epoch 3/50
49984/50000 [============================>.] - ETA: 0s - loss: 0.8795 - acc: 0.7456Epoch 00003: val_acc improved from 0.59990 to 0.66680, saving model to /home/tuandinh/Desktop/tensorflow/saved_models/cifar10_ResNet20v1_model.003.h5
50000/50000 [==============================] - 73s 1ms/step - loss: 0.8795 - acc: 0.7456 - val_loss: 1.1660 - val_acc: 0.6668
Learning rate: 0.001
Epoch 4/50
49984/50000 [============================>.] - ETA: 0s - loss: 0.7876 - acc: 0.7794Epoch 00004: val_acc improved from 0.66680 to 0.75560, saving model to /home/tuandinh/Desktop/tensorflow/saved_models/cifar10_ResNet20v1_model.004.h5
50000/50000 [==============================] - 75s 1ms/step - loss: 0.7877 - acc: 0.7794 - val_loss: 0.8796 - val_acc: 0.7556
Learning rate: 0.001
Epoch 5/50
49984/50000 [============================>.] - ETA: 0s - loss: 0.7280 - acc: 0.8012Epoch 00005: val_acc improved from 0.75560 to 0.76910, saving model to /home/tuandinh/Desktop/tensorflow/saved_models/cifar10_ResNet20v1_model.005.h5
50000/50000 [==============================] - 75s 1ms/step - loss: 0.7280 - acc: 0.8012 - val_loss: 0.8351 - val_acc: 0.7691
Learning rate: 0.001
Epoch 6/50
49952/50000 [============================>.] - ETA: 0s - loss: 0.6754 - acc: 0.8236Epoch 00006: val_acc did not improve
50000/50000 [==============================] - 75s 1ms/step - loss: 0.6755 - acc: 0.8235 - val_loss: 0.8868 - val_acc: 0.7661
Learning rate: 0.001
Epoch 7/50
49984/50000 [============================>.] - ETA: 0s - loss: 0.6332 - acc: 0.8424- ETA: 2Epoch 00007: val_acc did not improve
50000/50000 [==============================] - 74s 1ms/step - loss: 0.6333 - acc: 0.8424 - val_loss: 0.9948 - val_acc: 0.7284
Learning rate: 0.001
Epoch 8/50
49984/50000 [============================>.] - ETA: 0s - loss: 0.6009 - acc: 0.8533Epoch 00008: val_acc improved from 0.76910 to 0.79030, saving model to /home/tuandinh/Desktop/tensorflow/saved_models/cifar10_ResNet20v1_model.008.h5
50000/50000 [==============================] - 75s 1ms/step - loss: 0.6010 - acc: 0.8533 - val_loss: 0.8349 - val_acc: 0.7903
Learning rate: 0.001
Epoch 9/50
49984/50000 [============================>.] - ETA: 0s - loss: 0.5738 - acc: 0.8661Epoch 00009: val_acc did not improve
50000/50000 [==============================] - 74s 1ms/step - loss: 0.5738 - acc: 0.8661 - val_loss: 1.0078 - val_acc: 0.7502
Learning rate: 0.001
Epoch 10/50
49984/50000 [============================>.] - ETA: 0s - loss: 0.5522 - acc: 0.8755Epoch 00010: val_acc did not improve
50000/50000 [==============================] - 74s 1ms/step - loss: 0.5523 - acc: 0.8754 - val_loss: 0.9098 - val_acc: 0.7872
Learning rate: 0.001
Epoch 11/50
49984/50000 [============================>.] - ETA: 0s - loss: 0.5234 - acc: 0.8866Epoch 00011: val_acc did not improve
50000/50000 [==============================] - 74s 1ms/step - loss: 0.5235 - acc: 0.8866 - val_loss: 1.0779 - val_acc: 0.7537
Learning rate: 0.001
Epoch 12/50
49984/50000 [============================>.] - ETA: 0s - loss: 0.5098 - acc: 0.8938- ETA: 1s - Epoch 00012: val_acc improved from 0.79030 to 0.79760, saving model to /home/tuandinh/Desktop/tensorflow/saved_models/cifar10_ResNet20v1_model.012.h5
50000/50000 [==============================] - 74s 1ms/step - loss: 0.5098 - acc: 0.8938 - val_loss: 0.8728 - val_acc: 0.7976
Learning rate: 0.001
Epoch 13/50
49952/50000 [============================>.] - ETA: 0s - loss: 0.4980 - acc: 0.9017Epoch 00013: val_acc did not improve
50000/50000 [==============================] - 74s 1ms/step - loss: 0.4981 - acc: 0.9017 - val_loss: 1.1373 - val_acc: 0.7438
Learning rate: 0.001
Epoch 14/50
49952/50000 [============================>.] - ETA: 0s - loss: 0.4858 - acc: 0.9069Epoch 00014: val_acc did not improve
50000/50000 [==============================] - 75s 1ms/step - loss: 0.4858 - acc: 0.9068 - val_loss: 1.0662 - val_acc: 0.7496
Learning rate: 0.001
Epoch 15/50
49952/50000 [============================>.] - ETA: 0s - loss: 0.4728 - acc: 0.9112Epoch 00015: val_acc did not improve
50000/50000 [==============================] - 75s 1ms/step - loss: 0.4727 - acc: 0.9112 - val_loss: 1.0916 - val_acc: 0.7723
Learning rate: 0.001
Epoch 16/50
49984/50000 [============================>.] - ETA: 0s - loss: 0.4684 - acc: 0.9152Epoch 00016: val_acc did not improve
50000/50000 [==============================] - 75s 2ms/step - loss: 0.4684 - acc: 0.9152 - val_loss: 1.2405 - val_acc: 0.7388
Learning rate: 0.001
Epoch 17/50
49984/50000 [============================>.] - ETA: 0s - loss: 0.4575 - acc: 0.9215Epoch 00017: val_acc did not improve
50000/50000 [==============================] - 74s 1ms/step - loss: 0.4575 - acc: 0.9216 - val_loss: 0.9992 - val_acc: 0.7888
Learning rate: 0.001
Epoch 18/50
49984/50000 [============================>.] - ETA: 0s - loss: 0.4511 - acc: 0.9231Epoch 00018: val_acc improved from 0.79760 to 0.79880, saving model to /home/tuandinh/Desktop/tensorflow/saved_models/cifar10_ResNet20v1_model.018.h5
50000/50000 [==============================] - 75s 2ms/step - loss: 0.4511 - acc: 0.9231 - val_loss: 0.9300 - val_acc: 0.7988
Learning rate: 0.001
Epoch 19/50
49984/50000 [============================>.] - ETA: 0s - loss: 0.4554 - acc: 0.9257Epoch 00019: val_acc did not improve
50000/50000 [==============================] - 73s 1ms/step - loss: 0.4554 - acc: 0.9257 - val_loss: 1.6187 - val_acc: 0.7020
Learning rate: 0.001
Epoch 20/50
49952/50000 [============================>.] - ETA: 0s - loss: 0.4409 - acc: 0.9315Epoch 00020: val_acc did not improve
50000/50000 [==============================] - 69s 1ms/step - loss: 0.4410 - acc: 0.9314 - val_loss: 1.3509 - val_acc: 0.7425
Learning rate: 0.001
Epoch 21/50
49984/50000 [============================>.] - ETA: 0s - loss: 0.4412 - acc: 0.9311Epoch 00021: val_acc did not improve
50000/50000 [==============================] - 72s 1ms/step - loss: 0.4411 - acc: 0.9311 - val_loss: 1.1527 - val_acc: 0.7825
Learning rate: 0.001
Epoch 22/50
49952/50000 [============================>.] - ETA: 0s - loss: 0.4434 - acc: 0.9316Epoch 00022: val_acc did not improve
50000/50000 [==============================] - 74s 1ms/step - loss: 0.4435 - acc: 0.9316 - val_loss: 1.2558 - val_acc: 0.7492
Learning rate: 0.001
Epoch 23/50
49984/50000 [============================>.] - ETA: 0s - loss: 0.4332 - acc: 0.9374Epoch 00023: val_acc did not improve
50000/50000 [==============================] - 74s 1ms/step - loss: 0.4332 - acc: 0.9374 - val_loss: 1.3546 - val_acc: 0.7376
Learning rate: 0.001
Epoch 24/50
49952/50000 [============================>.] - ETA: 0s - loss: 0.4355 - acc: 0.9362Epoch 00024: val_acc did not improve
50000/50000 [==============================] - 74s 1ms/step - loss: 0.4355 - acc: 0.9363 - val_loss: 1.2386 - val_acc: 0.7583
Learning rate: 0.001
Epoch 25/50
49952/50000 [============================>.] - ETA: 0s - loss: 0.4329 - acc: 0.9383Epoch 00025: val_acc improved from 0.79880 to 0.80660, saving model to /home/tuandinh/Desktop/tensorflow/saved_models/cifar10_ResNet20v1_model.025.h5
50000/50000 [==============================] - 75s 1ms/step - loss: 0.4330 - acc: 0.9382 - val_loss: 0.9863 - val_acc: 0.8066
Learning rate: 0.001
Epoch 26/50
49984/50000 [============================>.] - ETA: 0s - loss: 0.4278 - acc: 0.9394Epoch 00026: val_acc did not improve
50000/50000 [==============================] - 74s 1ms/step - loss: 0.4278 - acc: 0.9394 - val_loss: 1.4566 - val_acc: 0.7267
Learning rate: 0.001
Epoch 27/50
49952/50000 [============================>.] - ETA: 0s - loss: 0.4283 - acc: 0.9412Epoch 00027: val_acc did not improve
50000/50000 [==============================] - 74s 1ms/step - loss: 0.4285 - acc: 0.9411 - val_loss: 1.0860 - val_acc: 0.7949
Learning rate: 0.001
Epoch 28/50
49984/50000 [============================>.] - ETA: 0s - loss: 0.4275 - acc: 0.9424Epoch 00028: val_acc did not improve
50000/50000 [==============================] - 75s 1ms/step - loss: 0.4275 - acc: 0.9423 - val_loss: 1.1021 - val_acc: 0.7748
Learning rate: 0.001
Epoch 29/50
49952/50000 [============================>.] - ETA: 0s - loss: 0.4248 - acc: 0.9435Epoch 00029: val_acc did not improve
50000/50000 [==============================] - 75s 1ms/step - loss: 0.4248 - acc: 0.9435 - val_loss: 1.2717 - val_acc: 0.7621
Learning rate: 0.001
Epoch 30/50
49984/50000 [============================>.] - ETA: 0s - loss: 0.4251 - acc: 0.9425Epoch 00030: val_acc did not improve
50000/50000 [==============================] - 74s 1ms/step - loss: 0.4251 - acc: 0.9424 - val_loss: 1.0744 - val_acc: 0.7775
Learning rate: 0.001
Epoch 31/50
49984/50000 [============================>.] - ETA: 0s - loss: 0.4201 - acc: 0.9462Epoch 00031: val_acc did not improve
50000/50000 [==============================] - 76s 2ms/step - loss: 0.4201 - acc: 0.9462 - val_loss: 1.1741 - val_acc: 0.7668
Learning rate: 0.001
Epoch 32/50
49984/50000 [============================>.] - ETA: 0s - loss: 0.4217 - acc: 0.9447Epoch 00032: val_acc did not improve
50000/50000 [==============================] - 70s 1ms/step - loss: 0.4218 - acc: 0.9447 - val_loss: 1.1417 - val_acc: 0.7672
Learning rate: 0.001
Epoch 33/50
49984/50000 [============================>.] - ETA: 0s - loss: 0.4195 - acc: 0.9466Epoch 00033: val_acc did not improve
50000/50000 [==============================] - 74s 1ms/step - loss: 0.4195 - acc: 0.9466 - val_loss: 1.0915 - val_acc: 0.7805
Learning rate: 0.001
Epoch 34/50
49952/50000 [============================>.] - ETA: 0s - loss: 0.4244 - acc: 0.9446Epoch 00034: val_acc did not improve
50000/50000 [==============================] - 74s 1ms/step - loss: 0.4245 - acc: 0.9446 - val_loss: 1.0776 - val_acc: 0.7899
Learning rate: 0.001
Epoch 35/50
49984/50000 [============================>.] - ETA: 0s - loss: 0.4160 - acc: 0.9479Epoch 00035: val_acc did not improve
50000/50000 [==============================] - 72s 1ms/step - loss: 0.4159 - acc: 0.9479 - val_loss: 1.2384 - val_acc: 0.7793
Learning rate: 0.001
Epoch 36/50
49984/50000 [============================>.] - ETA: 0s - loss: 0.4099 - acc: 0.9494Epoch 00036: val_acc did not improve
50000/50000 [==============================] - 72s 1ms/step - loss: 0.4099 - acc: 0.9494 - val_loss: 1.1595 - val_acc: 0.7861
Learning rate: 0.001
Epoch 37/50
49984/50000 [============================>.] - ETA: 0s - loss: 0.4218 - acc: 0.9458Epoch 00037: val_acc did not improve
50000/50000 [==============================] - 71s 1ms/step - loss: 0.4218 - acc: 0.9459 - val_loss: 1.1235 - val_acc: 0.7878
Learning rate: 0.001
Epoch 38/50
49984/50000 [============================>.] - ETA: 0s - loss: 0.4149 - acc: 0.9485Epoch 00038: val_acc did not improve
50000/50000 [==============================] - 74s 1ms/step - loss: 0.4149 - acc: 0.9485 - val_loss: 1.1104 - val_acc: 0.7834
Learning rate: 0.001
Epoch 39/50
49984/50000 [============================>.] - ETA: 0s - loss: 0.4145 - acc: 0.9487Epoch 00039: val_acc did not improve
50000/50000 [==============================] - 65s 1ms/step - loss: 0.4145 - acc: 0.9487 - val_loss: 1.2042 - val_acc: 0.7699
Learning rate: 0.001
Epoch 40/50
49984/50000 [============================>.] - ETA: 0s - loss: 0.4131 - acc: 0.9485Epoch 00040: val_acc did not improve
50000/50000 [==============================] - 59s 1ms/step - loss: 0.4131 - acc: 0.9485 - val_loss: 1.6183 - val_acc: 0.7134
Learning rate: 0.001
Epoch 41/50
49952/50000 [============================>.] - ETA: 0s - loss: 0.4114 - acc: 0.9502Epoch 00041: val_acc did not improve
50000/50000 [==============================] - 47s 944us/step - loss: 0.4114 - acc: 0.9501 - val_loss: 1.1342 - val_acc: 0.7917
Learning rate: 0.001
Epoch 42/50
49984/50000 [============================>.] - ETA: 0s - loss: 0.4193 - acc: 0.9468Epoch 00042: val_acc did not improve
50000/50000 [==============================] - 49s 974us/step - loss: 0.4193 - acc: 0.9468 - val_loss: 1.0622 - val_acc: 0.7951
Learning rate: 0.001
Epoch 43/50
49984/50000 [============================>.] - ETA: 0s - loss: 0.4041 - acc: 0.9515Epoch 00043: val_acc did not improve
50000/50000 [==============================] - 49s 983us/step - loss: 0.4041 - acc: 0.9516 - val_loss: 1.0180 - val_acc: 0.8021
Learning rate: 0.001
Epoch 44/50
49952/50000 [============================>.] - ETA: 0s - loss: 0.4139 - acc: 0.9493Epoch 00044: val_acc did not improve
50000/50000 [==============================] - 47s 942us/step - loss: 0.4140 - acc: 0.9493 - val_loss: 1.0489 - val_acc: 0.8004
Learning rate: 0.001
Epoch 45/50
49984/50000 [============================>.] - ETA: 0s - loss: 0.4072 - acc: 0.9508Epoch 00045: val_acc did not improve
50000/50000 [==============================] - 48s 961us/step - loss: 0.4072 - acc: 0.9508 - val_loss: 1.0796 - val_acc: 0.8004
Learning rate: 0.001
Epoch 46/50
49984/50000 [============================>.] - ETA: 0s - loss: 0.4104 - acc: 0.9505Epoch 00046: val_acc did not improve
50000/50000 [==============================] - 48s 957us/step - loss: 0.4104 - acc: 0.9505 - val_loss: 1.1590 - val_acc: 0.7810
Learning rate: 0.001
Epoch 47/50
49984/50000 [============================>.] - ETA: 0s - loss: 0.4101 - acc: 0.9508Epoch 00047: val_acc did not improve
50000/50000 [==============================] - 48s 953us/step - loss: 0.4101 - acc: 0.9508 - val_loss: 1.0956 - val_acc: 0.7888
Learning rate: 0.001
Epoch 48/50
49984/50000 [============================>.] - ETA: 0s - loss: 0.4027 - acc: 0.9528Epoch 00048: val_acc did not improve
50000/50000 [==============================] - 48s 963us/step - loss: 0.4027 - acc: 0.9528 - val_loss: 1.3287 - val_acc: 0.7727
Learning rate: 0.001
Epoch 49/50
49984/50000 [============================>.] - ETA: 0s - loss: 0.4089 - acc: 0.9506Epoch 00049: val_acc did not improve
50000/50000 [==============================] - 47s 945us/step - loss: 0.4089 - acc: 0.9506 - val_loss: 1.1636 - val_acc: 0.7848
Learning rate: 0.001
Epoch 50/50
49984/50000 [============================>.] - ETA: 0s - loss: 0.4031 - acc: 0.9528Epoch 00050: val_acc did not improve
50000/50000 [==============================] - 49s 971us/step - loss: 0.4031 - acc: 0.9528 - val_loss: 1.0911 - val_acc: 0.7949
10000/10000 [==============================] - 2s 233us/step
Test loss: 1.09105400448
Test accuracy: 0.7949
LSTM¶
In [51]:
#LSTM and CNN for sequence classification in the IMDB dataset
#Import kera library and other needed libraries
import numpy
from keras.datasets import imdb
from keras.models import Sequential
from keras.layers import Dense
from keras.layers import LSTM
from keras.layers.convolutional import Conv1D
from keras.layers.convolutional import MaxPooling1D
from keras.layers.embeddings import Embedding
from keras.preprocessing import sequence
from keras.callbacks import ModelCheckpoint
In [52]:
#Set parameters before training
# fix random seed for reproducibility
numpy.random.seed(7)
# load the dataset but only keep the top n words, zero the rest
top_words = 5000
(X_train, y_train), (X_test, y_test) = imdb.load_data(num_words=top_words)
# truncate and pad input sequences
max_review_length = 500
X_train = sequence.pad_sequences(X_train, maxlen=max_review_length)
X_test = sequence.pad_sequences(X_test, maxlen=max_review_length)
# create the model
embedding_vecor_length = 32
In [53]:
#Create LSTM network and CNN for sequence classification
model = Sequential()
model.add(Embedding(top_words, embedding_vecor_length, input_length=max_review_length))
model.add(Conv1D(filters=32, kernel_size=3, padding='same', activation='relu'))
model.add(MaxPooling1D(pool_size=2))
model.add(LSTM(100))
model.add(Dense(1, activation='sigmoid'))
model.compile(loss='binary_crossentropy', optimizer='adam', metrics=['accuracy'])
print(model.summary())
# Prepare model model saving directory.
save_dir = os.path.join(os.getcwd(), 'saved_models')
model_name = 'LSTM_CNN_model.{epoch:03d}.h5'
if not os.path.isdir(save_dir):
os.makedirs(save_dir)
filepath = os.path.join(save_dir, model_name)
# Prepare callbacks for model saving and for learning rate adjustment.
checkpoint = ModelCheckpoint(filepath=filepath,
monitor='acc',
verbose=1,
save_best_only=True)
callbacks = [checkpoint]
model.fit(X_train, y_train, epochs=50, batch_size=64, callbacks=callbacks)
# Final evaluation of the model
scores = model.evaluate(X_test, y_test, verbose=0)
print("Accuracy: %.2f%%" % (scores[1]*100))
_________________________________________________________________ Layer (type) Output Shape Param # ================================================================= embedding_8 (Embedding) (None, 500, 32) 160000 _________________________________________________________________ conv1d_8 (Conv1D) (None, 500, 32) 3104 _________________________________________________________________ max_pooling1d_8 (MaxPooling1 (None, 250, 32) 0 _________________________________________________________________ lstm_8 (LSTM) (None, 100) 53200 _________________________________________________________________ dense_19 (Dense) (None, 1) 101 ================================================================= Total params: 216,405 Trainable params: 216,405 Non-trainable params: 0 _________________________________________________________________ None Epoch 1/50 24960/25000 [============================>.] - ETA: 0s - loss: 0.4565 - acc: 0.7641Epoch 00001: acc improved from -inf to 0.76420, saving model to /home/tuandinh/Desktop/tensorflow/saved_models/LSTM_CNN_model.001.h5 25000/25000 [==============================] - 128s 5ms/step - loss: 0.4563 - acc: 0.7642 Epoch 2/50 24960/25000 [============================>.] - ETA: 0s - loss: 0.2467 - acc: 0.9011Epoch 00002: acc improved from 0.76420 to 0.90108, saving model to /home/tuandinh/Desktop/tensorflow/saved_models/LSTM_CNN_model.002.h5 25000/25000 [==============================] - 123s 5ms/step - loss: 0.2468 - acc: 0.9011 Epoch 3/50 24960/25000 [============================>.] - ETA: 0s - loss: 0.2077 - acc: 0.9200Epoch 00003: acc improved from 0.90108 to 0.91992, saving model to /home/tuandinh/Desktop/tensorflow/saved_models/LSTM_CNN_model.003.h5 25000/25000 [==============================] - 125s 5ms/step - loss: 0.2080 - acc: 0.9199 Epoch 4/50 24960/25000 [============================>.] - ETA: 0s - loss: 0.1712 - acc: 0.9383Epoch 00004: acc improved from 0.91992 to 0.93816, saving model to /home/tuandinh/Desktop/tensorflow/saved_models/LSTM_CNN_model.004.h5 25000/25000 [==============================] - 124s 5ms/step - loss: 0.1714 - acc: 0.9382 Epoch 5/50 24960/25000 [============================>.] - ETA: 0s - loss: 0.1536 - acc: 0.9441Epoch 00005: acc improved from 0.93816 to 0.94412, saving model to /home/tuandinh/Desktop/tensorflow/saved_models/LSTM_CNN_model.005.h5 25000/25000 [==============================] - 124s 5ms/step - loss: 0.1536 - acc: 0.9441 Epoch 6/50 24960/25000 [============================>.] - ETA: 0s - loss: 0.1193 - acc: 0.9601Epoch 00006: acc improved from 0.94412 to 0.96008, saving model to /home/tuandinh/Desktop/tensorflow/saved_models/LSTM_CNN_model.006.h5 25000/25000 [==============================] - 125s 5ms/step - loss: 0.1193 - acc: 0.9601 Epoch 7/50 24960/25000 [============================>.] - ETA: 0s - loss: 0.0983 - acc: 0.9679Epoch 00007: acc improved from 0.96008 to 0.96776, saving model to /home/tuandinh/Desktop/tensorflow/saved_models/LSTM_CNN_model.007.h5 25000/25000 [==============================] - 122s 5ms/step - loss: 0.0985 - acc: 0.9678 Epoch 8/50 24960/25000 [============================>.] - ETA: 0s - loss: 0.0874 - acc: 0.9718Epoch 00008: acc improved from 0.96776 to 0.97172, saving model to /home/tuandinh/Desktop/tensorflow/saved_models/LSTM_CNN_model.008.h5 25000/25000 [==============================] - 123s 5ms/step - loss: 0.0877 - acc: 0.9717 Epoch 9/50 24960/25000 [============================>.] - ETA: 0s - loss: 0.0703 - acc: 0.9794Epoch 00009: acc improved from 0.97172 to 0.97940, saving model to /home/tuandinh/Desktop/tensorflow/saved_models/LSTM_CNN_model.009.h5 25000/25000 [==============================] - 121s 5ms/step - loss: 0.0703 - acc: 0.9794 Epoch 10/50 24960/25000 [============================>.] - ETA: 0s - loss: 0.0543 - acc: 0.9851Epoch 00010: acc improved from 0.97940 to 0.98508, saving model to /home/tuandinh/Desktop/tensorflow/saved_models/LSTM_CNN_model.010.h5 25000/25000 [==============================] - 124s 5ms/step - loss: 0.0543 - acc: 0.9851 Epoch 11/50 24960/25000 [============================>.] - ETA: 0s - loss: 0.0476 - acc: 0.9869Epoch 00011: acc improved from 0.98508 to 0.98684, saving model to /home/tuandinh/Desktop/tensorflow/saved_models/LSTM_CNN_model.011.h5 25000/25000 [==============================] - 123s 5ms/step - loss: 0.0477 - acc: 0.9868 Epoch 12/50 24960/25000 [============================>.] - ETA: 0s - loss: 0.0511 - acc: 0.9852Epoch 00012: acc did not improve 25000/25000 [==============================] - 123s 5ms/step - loss: 0.0511 - acc: 0.9852 Epoch 13/50 24960/25000 [============================>.] - ETA: 0s - loss: 0.0344 - acc: 0.9908Epoch 00013: acc improved from 0.98684 to 0.99076, saving model to /home/tuandinh/Desktop/tensorflow/saved_models/LSTM_CNN_model.013.h5 25000/25000 [==============================] - 124s 5ms/step - loss: 0.0346 - acc: 0.9908 Epoch 14/50 24960/25000 [============================>.] - ETA: 0s - loss: 0.0371 - acc: 0.9895Epoch 00014: acc did not improve 25000/25000 [==============================] - 124s 5ms/step - loss: 0.0371 - acc: 0.9894 Epoch 15/50 24960/25000 [============================>.] - ETA: 0s - loss: 0.0392 - acc: 0.9881Epoch 00015: acc did not improve 25000/25000 [==============================] - 124s 5ms/step - loss: 0.0393 - acc: 0.9880 Epoch 16/50 24960/25000 [============================>.] - ETA: 0s - loss: 0.0259 - acc: 0.9935Epoch 00016: acc improved from 0.99076 to 0.99348, saving model to /home/tuandinh/Desktop/tensorflow/saved_models/LSTM_CNN_model.016.h5 25000/25000 [==============================] - 124s 5ms/step - loss: 0.0258 - acc: 0.9935 Epoch 17/50 24960/25000 [============================>.] - ETA: 0s - loss: 0.0253 - acc: 0.9930Epoch 00017: acc did not improve 25000/25000 [==============================] - 124s 5ms/step - loss: 0.0252 - acc: 0.9930 Epoch 18/50 24960/25000 [============================>.] - ETA: 0s - loss: 0.0180 - acc: 0.9957Epoch 00018: acc improved from 0.99348 to 0.99568, saving model to /home/tuandinh/Desktop/tensorflow/saved_models/LSTM_CNN_model.018.h5 25000/25000 [==============================] - 122s 5ms/step - loss: 0.0180 - acc: 0.9957 Epoch 19/50 24960/25000 [============================>.] - ETA: 0s - loss: 0.0196 - acc: 0.9954Epoch 00019: acc did not improve 25000/25000 [==============================] - 125s 5ms/step - loss: 0.0196 - acc: 0.9954 Epoch 20/50 24960/25000 [============================>.] - ETA: 0s - loss: 0.0192 - acc: 0.9945Epoch 00020: acc did not improve 25000/25000 [==============================] - 123s 5ms/step - loss: 0.0192 - acc: 0.9945 Epoch 21/50 24960/25000 [============================>.] - ETA: 0s - loss: 0.0299 - acc: 0.9912Epoch 00021: acc did not improve 25000/25000 [==============================] - 123s 5ms/step - loss: 0.0298 - acc: 0.9912 Epoch 22/50 24960/25000 [============================>.] - ETA: 0s - loss: 0.0199 - acc: 0.9943Epoch 00022: acc did not improve 25000/25000 [==============================] - 125s 5ms/step - loss: 0.0199 - acc: 0.9942 Epoch 23/50 24960/25000 [============================>.] - ETA: 0s - loss: 0.0089 - acc: 0.9978Epoch 00023: acc improved from 0.99568 to 0.99780, saving model to /home/tuandinh/Desktop/tensorflow/saved_models/LSTM_CNN_model.023.h5 25000/25000 [==============================] - 122s 5ms/step - loss: 0.0089 - acc: 0.9978 Epoch 24/50 24960/25000 [============================>.] - ETA: 0s - loss: 0.0071 - acc: 0.9982Epoch 00024: acc improved from 0.99780 to 0.99816, saving model to /home/tuandinh/Desktop/tensorflow/saved_models/LSTM_CNN_model.024.h5 25000/25000 [==============================] - 122s 5ms/step - loss: 0.0072 - acc: 0.9982 Epoch 25/50 24960/25000 [============================>.] - ETA: 0s - loss: 0.0203 - acc: 0.9936Epoch 00025: acc did not improve 25000/25000 [==============================] - 123s 5ms/step - loss: 0.0202 - acc: 0.9936 Epoch 26/50 24960/25000 [============================>.] - ETA: 0s - loss: 0.0190 - acc: 0.9942Epoch 00026: acc did not improve 25000/25000 [==============================] - 123s 5ms/step - loss: 0.0190 - acc: 0.9942 Epoch 27/50 24960/25000 [============================>.] - ETA: 0s - loss: 0.0112 - acc: 0.9966Epoch 00027: acc did not improve 25000/25000 [==============================] - 124s 5ms/step - loss: 0.0112 - acc: 0.9966 Epoch 28/50 24960/25000 [============================>.] - ETA: 0s - loss: 0.0048 - acc: 0.9987Epoch 00028: acc improved from 0.99816 to 0.99872, saving model to /home/tuandinh/Desktop/tensorflow/saved_models/LSTM_CNN_model.028.h5 25000/25000 [==============================] - 123s 5ms/step - loss: 0.0048 - acc: 0.9987 Epoch 29/50 24960/25000 [============================>.] - ETA: 0s - loss: 0.0052 - acc: 0.9987Epoch 00029: acc did not improve 25000/25000 [==============================] - 123s 5ms/step - loss: 0.0052 - acc: 0.9987 Epoch 30/50 24960/25000 [============================>.] - ETA: 0s - loss: 0.0105 - acc: 0.9970Epoch 00030: acc did not improve 25000/25000 [==============================] - 122s 5ms/step - loss: 0.0105 - acc: 0.9970 Epoch 31/50 24960/25000 [============================>.] - ETA: 0s - loss: 0.0062 - acc: 0.9981Epoch 00031: acc did not improve 25000/25000 [==============================] - 123s 5ms/step - loss: 0.0062 - acc: 0.9981 Epoch 32/50 24960/25000 [============================>.] - ETA: 0s - loss: 0.0044 - acc: 0.9990Epoch 00032: acc improved from 0.99872 to 0.99896, saving model to /home/tuandinh/Desktop/tensorflow/saved_models/LSTM_CNN_model.032.h5 25000/25000 [==============================] - 124s 5ms/step - loss: 0.0044 - acc: 0.9990 Epoch 33/50 24960/25000 [============================>.] - ETA: 0s - loss: 0.0097 - acc: 0.9968Epoch 00033: acc did not improve 25000/25000 [==============================] - 123s 5ms/step - loss: 0.0098 - acc: 0.9968 Epoch 34/50 24960/25000 [============================>.] - ETA: 0s - loss: 0.0114 - acc: 0.9965Epoch 00034: acc did not improve 25000/25000 [==============================] - 123s 5ms/step - loss: 0.0116 - acc: 0.9964 Epoch 35/50 24960/25000 [============================>.] - ETA: 0s - loss: 0.0065 - acc: 0.9979Epoch 00035: acc did not improve 25000/25000 [==============================] - 124s 5ms/step - loss: 0.0065 - acc: 0.9979 Epoch 36/50 24960/25000 [============================>.] - ETA: 0s - loss: 0.0058 - acc: 0.9980Epoch 00036: acc did not improve 25000/25000 [==============================] - 122s 5ms/step - loss: 0.0058 - acc: 0.9980 Epoch 37/50 24960/25000 [============================>.] - ETA: 0s - loss: 0.0029 - acc: 0.9992Epoch 00037: acc improved from 0.99896 to 0.99916, saving model to /home/tuandinh/Desktop/tensorflow/saved_models/LSTM_CNN_model.037.h5 25000/25000 [==============================] - 124s 5ms/step - loss: 0.0029 - acc: 0.9992 Epoch 38/50 24960/25000 [============================>.] - ETA: 0s - loss: 0.0197 - acc: 0.9942Epoch 00038: acc did not improve 25000/25000 [==============================] - 124s 5ms/step - loss: 0.0197 - acc: 0.9942 Epoch 39/50 24960/25000 [============================>.] - ETA: 0s - loss: 0.0035 - acc: 0.9993Epoch 00039: acc improved from 0.99916 to 0.99928, saving model to /home/tuandinh/Desktop/tensorflow/saved_models/LSTM_CNN_model.039.h5 25000/25000 [==============================] - 123s 5ms/step - loss: 0.0035 - acc: 0.9993 Epoch 40/50 24960/25000 [============================>.] - ETA: 0s - loss: 0.0030 - acc: 0.9990Epoch 00040: acc did not improve 25000/25000 [==============================] - 124s 5ms/step - loss: 0.0030 - acc: 0.9990 Epoch 41/50 24960/25000 [============================>.] - ETA: 0s - loss: 3.4358e-04 - acc: 1.0000Epoch 00041: acc improved from 0.99928 to 1.00000, saving model to /home/tuandinh/Desktop/tensorflow/saved_models/LSTM_CNN_model.041.h5 25000/25000 [==============================] - 124s 5ms/step - loss: 3.4322e-04 - acc: 1.0000 Epoch 42/50 24960/25000 [============================>.] - ETA: 0s - loss: 1.5103e-04 - acc: 1.0000Epoch 00042: acc did not improve 25000/25000 [==============================] - 125s 5ms/step - loss: 1.5092e-04 - acc: 1.0000 Epoch 43/50 24960/25000 [============================>.] - ETA: 0s - loss: 9.1637e-05 - acc: 1.0000Epoch 00043: acc did not improve 25000/25000 [==============================] - 123s 5ms/step - loss: 9.1508e-05 - acc: 1.0000 Epoch 44/50 24960/25000 [============================>.] - ETA: 0s - loss: 5.7974e-05 - acc: 1.0000Epoch 00044: acc did not improve 25000/25000 [==============================] - 123s 5ms/step - loss: 5.7948e-05 - acc: 1.0000 Epoch 45/50 24960/25000 [============================>.] - ETA: 0s - loss: 4.1248e-05 - acc: 1.0000Epoch 00045: acc did not improve 25000/25000 [==============================] - 121s 5ms/step - loss: 4.1195e-05 - acc: 1.0000 Epoch 46/50 24960/25000 [============================>.] - ETA: 0s - loss: 3.0077e-05 - acc: 1.0000Epoch 00046: acc did not improve 25000/25000 [==============================] - 122s 5ms/step - loss: 3.0037e-05 - acc: 1.0000 Epoch 47/50 24960/25000 [============================>.] - ETA: 0s - loss: 2.1953e-05 - acc: 1.0000Epoch 00047: acc did not improve 25000/25000 [==============================] - 123s 5ms/step - loss: 2.2067e-05 - acc: 1.0000 Epoch 48/50 24960/25000 [============================>.] - ETA: 0s - loss: 1.6549e-05 - acc: 1.0000Epoch 00048: acc did not improve 25000/25000 [==============================] - 123s 5ms/step - loss: 1.6545e-05 - acc: 1.0000 Epoch 49/50 24960/25000 [============================>.] - ETA: 0s - loss: 1.2530e-05 - acc: 1.0000Epoch 00049: acc did not improve 25000/25000 [==============================] - 123s 5ms/step - loss: 1.2516e-05 - acc: 1.0000 Epoch 50/50 24960/25000 [============================>.] - ETA: 0s - loss: 9.5518e-06 - acc: 1.0000Epoch 00050: acc did not improve 25000/25000 [==============================] - 124s 5ms/step - loss: 9.5635e-06 - acc: 1.0000 Accuracy: 87.22%
GAN¶
In [54]:
#Import keras library and other needed libraries
import numpy as np
import time
from tensorflow.examples.tutorials.mnist import input_data
from keras.models import Sequential
from keras.layers import Dense, Activation, Flatten, Reshape
from keras.layers import Conv2D, Conv2DTranspose, UpSampling2D
from keras.layers import LeakyReLU, Dropout
from keras.layers import BatchNormalization
from keras.optimizers import Adam, RMSprop
import matplotlib.pyplot as plt
In [55]:
#Compute elapsed time
class ElapsedTimer(object):
def __init__(self):
self.start_time = time.time()
def elapsed(self,sec):
if sec < 60:
return str(sec) + " sec"
elif sec < (60 * 60):
return str(sec / 60) + " min"
else:
return str(sec / (60 * 60)) + " hr"
def elapsed_time(self):
print("Elapsed: %s " % self.elapsed(time.time() - self.start_time) )
In [56]:
#Build DCGAN
class DCGAN(object):
def __init__(self, img_rows=28, img_cols=28, channel=1):
self.img_rows = img_rows
self.img_cols = img_cols
self.channel = channel
self.D = None # discriminator
self.G = None # generator
self.AM = None # adversarial model
self.DM = None # discriminator model
def discriminator(self):
if self.D:
return self.D
self.D = Sequential()
depth = 64
dropout = 0.4
# In: 28 x 28 x 1, depth = 1
# Out: 14 x 14 x 1, depth=64
input_shape = (self.img_rows, self.img_cols, self.channel)
self.D.add(Conv2D(depth*1, 5, strides=2, input_shape=input_shape,\
padding='same'))
self.D.add(LeakyReLU(alpha=0.2))
self.D.add(Dropout(dropout))
self.D.add(Conv2D(depth*2, 5, strides=2, padding='same'))
self.D.add(LeakyReLU(alpha=0.2))
self.D.add(Dropout(dropout))
self.D.add(Conv2D(depth*4, 5, strides=2, padding='same'))
self.D.add(LeakyReLU(alpha=0.2))
self.D.add(Dropout(dropout))
self.D.add(Conv2D(depth*8, 5, strides=1, padding='same'))
self.D.add(LeakyReLU(alpha=0.2))
self.D.add(Dropout(dropout))
# Out: 1-dim probability
self.D.add(Flatten())
self.D.add(Dense(1))
self.D.add(Activation('sigmoid'))
self.D.summary()
return self.D
def generator(self):
if self.G:
return self.G
self.G = Sequential()
dropout = 0.4
depth = 64+64+64+64
dim = 7
# In: 100
# Out: dim x dim x depth
self.G.add(Dense(dim*dim*depth, input_dim=100))
self.G.add(BatchNormalization(momentum=0.9))
self.G.add(Activation('relu'))
self.G.add(Reshape((dim, dim, depth)))
self.G.add(Dropout(dropout))
# In: dim x dim x depth
# Out: 2*dim x 2*dim x depth/2
self.G.add(UpSampling2D())
self.G.add(Conv2DTranspose(int(depth/2), 5, padding='same'))
self.G.add(BatchNormalization(momentum=0.9))
self.G.add(Activation('relu'))
self.G.add(UpSampling2D())
self.G.add(Conv2DTranspose(int(depth/4), 5, padding='same'))
self.G.add(BatchNormalization(momentum=0.9))
self.G.add(Activation('relu'))
self.G.add(Conv2DTranspose(int(depth/8), 5, padding='same'))
self.G.add(BatchNormalization(momentum=0.9))
self.G.add(Activation('relu'))
# Out: 28 x 28 x 1 grayscale image [0.0,1.0] per pix
self.G.add(Conv2DTranspose(1, 5, padding='same'))
self.G.add(Activation('sigmoid'))
self.G.summary()
return self.G
def discriminator_model(self):
if self.DM:
return self.DM
optimizer = RMSprop(lr=0.0002, decay=6e-8)
self.DM = Sequential()
self.DM.add(self.discriminator())
self.DM.compile(loss='binary_crossentropy', optimizer=optimizer,\
metrics=['accuracy'])
return self.DM
def adversarial_model(self):
if self.AM:
return self.AM
optimizer = RMSprop(lr=0.0001, decay=3e-8)
self.AM = Sequential()
self.AM.add(self.generator())
self.AM.add(self.discriminator())
self.AM.compile(loss='binary_crossentropy', optimizer=optimizer,\
metrics=['accuracy'])
return self.AM
In [57]:
#Build DCGAN for mnist dataset
class MNIST_DCGAN(object):
def __init__(self):
self.img_rows = 28
self.img_cols = 28
self.channel = 1
self.x_train = input_data.read_data_sets("mnist",\
one_hot=True).train.images
self.x_train = self.x_train.reshape(-1, self.img_rows,\
self.img_cols, 1).astype(np.float32)
self.DCGAN = DCGAN()
self.discriminator = self.DCGAN.discriminator_model()
self.adversarial = self.DCGAN.adversarial_model()
self.generator = self.DCGAN.generator()
def train(self, train_steps=2000, batch_size=256, save_interval=0):
noise_input = None
if save_interval>0:
noise_input = np.random.uniform(-1.0, 1.0, size=[16, 100])
for i in range(train_steps):
images_train = self.x_train[np.random.randint(0,
self.x_train.shape[0], size=batch_size), :, :, :]
noise = np.random.uniform(-1.0, 1.0, size=[batch_size, 100])
images_fake = self.generator.predict(noise)
x = np.concatenate((images_train, images_fake))
y = np.ones([2*batch_size, 1])
y[batch_size:, :] = 0
d_loss = self.discriminator.train_on_batch(x, y)
y = np.ones([batch_size, 1])
noise = np.random.uniform(-1.0, 1.0, size=[batch_size, 100])
a_loss = self.adversarial.train_on_batch(noise, y)
log_mesg = "%d: [D loss: %f, acc: %f]" % (i, d_loss[0], d_loss[1])
log_mesg = "%s [A loss: %f, acc: %f]" % (log_mesg, a_loss[0], a_loss[1])
print(log_mesg)
if save_interval>0:
if (i+1)%save_interval==0:
self.plot_images(save2file=True, samples=noise_input.shape[0],\
noise=noise_input, step=(i+1))
def plot_images(self, save2file=False, fake=True, samples=16, noise=None, step=0):
filename = 'mnist.png'
if fake:
if noise is None:
noise = np.random.uniform(-1.0, 1.0, size=[samples, 100])
else:
filename = "mnist_%d.png" % step
images = self.generator.predict(noise)
else:
i = np.random.randint(0, self.x_train.shape[0], samples)
images = self.x_train[i, :, :, :]
plt.figure(figsize=(10,10))
for i in range(images.shape[0]):
plt.subplot(4, 4, i+1)
image = images[i, :, :, :]
image = np.reshape(image, [self.img_rows, self.img_cols])
plt.imshow(image, cmap='gray')
plt.axis('off')
plt.tight_layout()
if save2file:
plt.savefig(filename)
plt.close('all')
else:
plt.show()
In [58]:
#Create DCGAN for mnist, train DCGAN and plot generated images
if __name__ == '__main__':
mnist_dcgan = MNIST_DCGAN()
model_name = 'DCGAN_mnist_model'
# Prepare model model saving directory.
save_dir = os.path.join(os.getcwd(), 'saved_models')
train_steps = 10000
timer = ElapsedTimer()
mnist_dcgan.train(train_steps=train_steps, batch_size=256, save_interval=500)
timer.elapsed_time()
if not os.path.isdir(save_dir):
os.makedirs(save_dir)
mnist_dcgan.generator.save_weights(os.path.join(save_dir, 'generator_{}.hdf5'.format(train_steps)))
mnist_dcgan.discriminator.save_weights(os.path.join(save_dir, 'discriminator_{}.hdf5'.format(train_steps)))
mnist_dcgan.plot_images(fake=True)
mnist_dcgan.plot_images(fake=False, save2file=True)
Extracting mnist/train-images-idx3-ubyte.gz Extracting mnist/train-labels-idx1-ubyte.gz Extracting mnist/t10k-images-idx3-ubyte.gz Extracting mnist/t10k-labels-idx1-ubyte.gz _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= conv2d_42 (Conv2D) (None, 14, 14, 64) 1664 _________________________________________________________________ leaky_re_lu_21 (LeakyReLU) (None, 14, 14, 64) 0 _________________________________________________________________ dropout_26 (Dropout) (None, 14, 14, 64) 0 _________________________________________________________________ conv2d_43 (Conv2D) (None, 7, 7, 128) 204928 _________________________________________________________________ leaky_re_lu_22 (LeakyReLU) (None, 7, 7, 128) 0 _________________________________________________________________ dropout_27 (Dropout) (None, 7, 7, 128) 0 _________________________________________________________________ conv2d_44 (Conv2D) (None, 4, 4, 256) 819456 _________________________________________________________________ leaky_re_lu_23 (LeakyReLU) (None, 4, 4, 256) 0 _________________________________________________________________ dropout_28 (Dropout) (None, 4, 4, 256) 0 _________________________________________________________________ conv2d_45 (Conv2D) (None, 4, 4, 512) 3277312 _________________________________________________________________ leaky_re_lu_24 (LeakyReLU) (None, 4, 4, 512) 0 _________________________________________________________________ dropout_29 (Dropout) (None, 4, 4, 512) 0 _________________________________________________________________ flatten_7 (Flatten) (None, 8192) 0 _________________________________________________________________ dense_20 (Dense) (None, 1) 8193 _________________________________________________________________ activation_50 (Activation) (None, 1) 0 ================================================================= Total params: 4,311,553 Trainable params: 4,311,553 Non-trainable params: 0 _________________________________________________________________ _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= dense_21 (Dense) (None, 12544) 1266944 _________________________________________________________________ batch_normalization_40 (Batc (None, 12544) 50176 _________________________________________________________________ activation_51 (Activation) (None, 12544) 0 _________________________________________________________________ reshape_6 (Reshape) (None, 7, 7, 256) 0 _________________________________________________________________ dropout_30 (Dropout) (None, 7, 7, 256) 0 _________________________________________________________________ up_sampling2d_11 (UpSampling (None, 14, 14, 256) 0 _________________________________________________________________ conv2d_transpose_21 (Conv2DT (None, 14, 14, 128) 819328 _________________________________________________________________ batch_normalization_41 (Batc (None, 14, 14, 128) 512 _________________________________________________________________ activation_52 (Activation) (None, 14, 14, 128) 0 _________________________________________________________________ up_sampling2d_12 (UpSampling (None, 28, 28, 128) 0 _________________________________________________________________ conv2d_transpose_22 (Conv2DT (None, 28, 28, 64) 204864 _________________________________________________________________ batch_normalization_42 (Batc (None, 28, 28, 64) 256 _________________________________________________________________ activation_53 (Activation) (None, 28, 28, 64) 0 _________________________________________________________________ conv2d_transpose_23 (Conv2DT (None, 28, 28, 32) 51232 _________________________________________________________________ batch_normalization_43 (Batc (None, 28, 28, 32) 128 _________________________________________________________________ activation_54 (Activation) (None, 28, 28, 32) 0 _________________________________________________________________ conv2d_transpose_24 (Conv2DT (None, 28, 28, 1) 801 _________________________________________________________________ activation_55 (Activation) (None, 28, 28, 1) 0 ================================================================= Total params: 2,394,241 Trainable params: 2,368,705 Non-trainable params: 25,536 _________________________________________________________________ 0: [D loss: 0.692241, acc: 0.517578] [A loss: 1.205030, acc: 0.000000] 1: [D loss: 0.645615, acc: 0.964844] [A loss: 1.152622, acc: 0.000000] 2: [D loss: 0.529340, acc: 1.000000] [A loss: 1.254961, acc: 0.000000] 3: [D loss: 0.362790, acc: 0.964844] [A loss: 2.091365, acc: 0.000000] 4: [D loss: 0.331301, acc: 0.939453] [A loss: 0.343157, acc: 0.988281] 5: [D loss: 0.164095, acc: 1.000000] [A loss: 0.461943, acc: 0.863281] 6: [D loss: 0.068724, acc: 0.998047] [A loss: 0.053805, acc: 1.000000] 7: [D loss: 0.041421, acc: 1.000000] [A loss: 0.018714, acc: 1.000000] 8: [D loss: 0.043877, acc: 0.992188] [A loss: 0.012997, acc: 1.000000] 9: [D loss: 0.034463, acc: 0.998047] [A loss: 0.042511, acc: 1.000000] 10: [D loss: 0.034204, acc: 0.998047] [A loss: 0.050192, acc: 1.000000] 11: [D loss: 0.034649, acc: 0.998047] [A loss: 0.051020, acc: 1.000000] 12: [D loss: 0.032676, acc: 1.000000] [A loss: 0.034185, acc: 1.000000] 13: [D loss: 0.026869, acc: 1.000000] [A loss: 0.003390, acc: 1.000000] 14: [D loss: 0.032767, acc: 0.992188] [A loss: 0.000012, acc: 1.000000] 15: [D loss: 0.026384, acc: 1.000000] [A loss: 0.001565, acc: 1.000000] 16: [D loss: 0.016603, acc: 0.996094] [A loss: 0.000133, acc: 1.000000] 17: [D loss: 0.011936, acc: 1.000000] [A loss: 0.000978, acc: 1.000000] 18: [D loss: 0.009057, acc: 1.000000] [A loss: 0.000996, acc: 1.000000] 19: [D loss: 0.009739, acc: 1.000000] [A loss: 0.000067, acc: 1.000000] 20: [D loss: 0.006834, acc: 1.000000] [A loss: 0.000356, acc: 1.000000] 21: [D loss: 0.005538, acc: 1.000000] [A loss: 0.000254, acc: 1.000000] 22: [D loss: 0.007729, acc: 0.998047] [A loss: 0.000012, acc: 1.000000] 23: [D loss: 0.004398, acc: 1.000000] [A loss: 0.000183, acc: 1.000000] 24: [D loss: 0.003032, acc: 1.000000] [A loss: 0.000369, acc: 1.000000] 25: [D loss: 0.002566, acc: 1.000000] [A loss: 0.000170, acc: 1.000000] 26: [D loss: 0.001951, acc: 1.000000] [A loss: 0.002843, acc: 1.000000] 27: [D loss: 0.002282, acc: 1.000000] [A loss: 0.000216, acc: 1.000000] 28: [D loss: 0.001918, acc: 1.000000] [A loss: 0.000274, acc: 1.000000] 29: [D loss: 0.001612, acc: 1.000000] [A loss: 0.000141, acc: 1.000000] 30: [D loss: 0.001345, acc: 1.000000] [A loss: 0.000067, acc: 1.000000] 31: [D loss: 0.001112, acc: 1.000000] [A loss: 0.000045, acc: 1.000000] 32: [D loss: 0.000867, acc: 1.000000] [A loss: 0.000216, acc: 1.000000] 33: [D loss: 0.000815, acc: 1.000000] [A loss: 0.000061, acc: 1.000000] 34: [D loss: 0.000755, acc: 1.000000] [A loss: 0.000031, acc: 1.000000] 35: [D loss: 0.000630, acc: 1.000000] [A loss: 0.000434, acc: 1.000000] 36: [D loss: 0.000797, acc: 1.000000] [A loss: 0.000196, acc: 1.000000] 37: [D loss: 0.000691, acc: 1.000000] [A loss: 0.000422, acc: 1.000000] 38: [D loss: 0.001434, acc: 1.000000] [A loss: 0.000013, acc: 1.000000] 39: [D loss: 0.001373, acc: 1.000000] [A loss: 0.000499, acc: 1.000000] 40: [D loss: 0.000912, acc: 1.000000] [A loss: 0.006460, acc: 1.000000] 41: [D loss: 0.114086, acc: 0.958984] [A loss: 16.118095, acc: 0.000000] 42: [D loss: 5.663921, acc: 0.500000] [A loss: 0.000000, acc: 1.000000] 43: [D loss: 0.050985, acc: 0.982422] [A loss: 0.000008, acc: 1.000000] 44: [D loss: 0.030860, acc: 0.992188] [A loss: 0.000128, acc: 1.000000] 45: [D loss: 0.018028, acc: 0.998047] [A loss: 0.001209, acc: 1.000000] 46: [D loss: 0.095066, acc: 0.962891] [A loss: 0.170441, acc: 0.933594] 47: [D loss: 5.067091, acc: 0.503906] [A loss: 0.523877, acc: 0.742188] 48: [D loss: 4.317275, acc: 0.500000] [A loss: 0.376128, acc: 0.855469] 49: [D loss: 2.607913, acc: 0.500000] [A loss: 3.141023, acc: 0.000000] 50: [D loss: 2.496610, acc: 0.501953] [A loss: 2.159238, acc: 0.007812] 51: [D loss: 1.700026, acc: 0.501953] [A loss: 3.824698, acc: 0.000000] 52: [D loss: 0.833147, acc: 0.488281] [A loss: 3.701587, acc: 0.000000] 53: [D loss: 0.614176, acc: 0.583984] [A loss: 3.616024, acc: 0.000000] 54: [D loss: 0.591894, acc: 0.597656] [A loss: 3.780073, acc: 0.000000] 55: [D loss: 0.493550, acc: 0.728516] [A loss: 3.552627, acc: 0.000000] 56: [D loss: 0.496136, acc: 0.691406] [A loss: 3.940149, acc: 0.000000] 57: [D loss: 0.371824, acc: 0.923828] [A loss: 3.210220, acc: 0.000000] 58: [D loss: 0.515307, acc: 0.656250] [A loss: 4.625489, acc: 0.000000] 59: [D loss: 0.287409, acc: 0.960938] [A loss: 2.408946, acc: 0.000000] 60: [D loss: 0.725498, acc: 0.523438] [A loss: 5.618002, acc: 0.000000] 61: [D loss: 0.323239, acc: 0.886719] [A loss: 2.074811, acc: 0.000000] 62: [D loss: 0.634817, acc: 0.533203] [A loss: 4.523685, acc: 0.000000] 63: [D loss: 0.264402, acc: 0.970703] [A loss: 2.225203, acc: 0.000000] 64: [D loss: 0.477552, acc: 0.595703] [A loss: 3.493086, acc: 0.000000] 65: [D loss: 0.265925, acc: 0.996094] [A loss: 2.285201, acc: 0.000000] 66: [D loss: 0.401469, acc: 0.722656] [A loss: 2.586295, acc: 0.000000] 67: [D loss: 0.325754, acc: 0.898438] [A loss: 2.141412, acc: 0.000000] 68: [D loss: 0.370849, acc: 0.791016] [A loss: 2.175986, acc: 0.000000] 69: [D loss: 0.364066, acc: 0.792969] [A loss: 2.191405, acc: 0.000000] 70: [D loss: 0.349341, acc: 0.845703] [A loss: 2.019621, acc: 0.003906] 71: [D loss: 0.459354, acc: 0.666016] [A loss: 3.190130, acc: 0.000000] 72: [D loss: 0.239570, acc: 0.994141] [A loss: 1.519927, acc: 0.046875] 73: [D loss: 0.576012, acc: 0.560547] [A loss: 3.838050, acc: 0.000000] 74: [D loss: 0.316553, acc: 0.935547] [A loss: 1.153393, acc: 0.105469] 75: [D loss: 0.652660, acc: 0.539062] [A loss: 3.472511, acc: 0.000000] 76: [D loss: 0.308206, acc: 0.953125] [A loss: 1.221889, acc: 0.089844] 77: [D loss: 0.546705, acc: 0.580078] [A loss: 2.917462, acc: 0.000000] 78: [D loss: 0.272147, acc: 0.972656] [A loss: 1.385737, acc: 0.046875] 79: [D loss: 0.543276, acc: 0.621094] [A loss: 3.115912, acc: 0.000000] 80: [D loss: 0.318138, acc: 0.949219] [A loss: 1.092109, acc: 0.136719] 81: [D loss: 0.646174, acc: 0.568359] [A loss: 3.241029, acc: 0.000000] 82: [D loss: 0.376302, acc: 0.890625] [A loss: 0.973820, acc: 0.250000] 83: [D loss: 0.652140, acc: 0.560547] [A loss: 2.880985, acc: 0.000000] 84: [D loss: 0.363957, acc: 0.904297] [A loss: 1.005885, acc: 0.195312] 85: [D loss: 0.597597, acc: 0.580078] [A loss: 2.695306, acc: 0.000000] 86: [D loss: 0.369410, acc: 0.896484] [A loss: 1.015771, acc: 0.230469] 87: [D loss: 0.544165, acc: 0.636719] [A loss: 2.430026, acc: 0.000000] 88: [D loss: 0.321957, acc: 0.947266] [A loss: 1.117830, acc: 0.144531] 89: [D loss: 0.543486, acc: 0.650391] [A loss: 2.607245, acc: 0.000000] 90: [D loss: 0.359156, acc: 0.898438] [A loss: 0.852837, acc: 0.355469] 91: [D loss: 0.607803, acc: 0.599609] [A loss: 2.636516, acc: 0.000000] 92: [D loss: 0.380163, acc: 0.894531] [A loss: 0.833446, acc: 0.382812] 93: [D loss: 0.620209, acc: 0.605469] [A loss: 2.447322, acc: 0.000000] 94: [D loss: 0.372073, acc: 0.898438] [A loss: 0.822197, acc: 0.390625] 95: [D loss: 0.579266, acc: 0.601562] [A loss: 2.183587, acc: 0.000000] 96: [D loss: 0.341341, acc: 0.925781] [A loss: 0.897155, acc: 0.335938] 97: [D loss: 0.552186, acc: 0.611328] [A loss: 2.245631, acc: 0.000000] 98: [D loss: 0.346244, acc: 0.914062] [A loss: 0.880147, acc: 0.304688] 99: [D loss: 0.544333, acc: 0.646484] [A loss: 2.163681, acc: 0.000000] 100: [D loss: 0.352780, acc: 0.919922] [A loss: 0.876347, acc: 0.343750] 101: [D loss: 0.562955, acc: 0.621094] [A loss: 2.161735, acc: 0.000000] 102: [D loss: 0.377806, acc: 0.906250] [A loss: 0.702676, acc: 0.554688] 103: [D loss: 0.590037, acc: 0.605469] [A loss: 2.120794, acc: 0.000000] 104: [D loss: 0.416422, acc: 0.894531] [A loss: 0.835227, acc: 0.363281] 105: [D loss: 0.627495, acc: 0.578125] [A loss: 2.072698, acc: 0.000000] 106: [D loss: 0.419586, acc: 0.888672] [A loss: 0.757790, acc: 0.453125] 107: [D loss: 0.627454, acc: 0.568359] [A loss: 2.112250, acc: 0.000000] 108: [D loss: 0.477589, acc: 0.857422] [A loss: 0.772980, acc: 0.425781] 109: [D loss: 0.645982, acc: 0.541016] [A loss: 1.882499, acc: 0.000000] 110: [D loss: 0.437949, acc: 0.890625] [A loss: 0.820767, acc: 0.339844] 111: [D loss: 0.622626, acc: 0.556641] [A loss: 1.905902, acc: 0.000000] 112: [D loss: 0.474850, acc: 0.851562] [A loss: 0.790888, acc: 0.378906] 113: [D loss: 0.644996, acc: 0.546875] [A loss: 1.789277, acc: 0.000000] 114: [D loss: 0.483691, acc: 0.851562] [A loss: 0.787398, acc: 0.410156] 115: [D loss: 0.646294, acc: 0.539062] [A loss: 1.816911, acc: 0.000000] 116: [D loss: 0.451986, acc: 0.902344] [A loss: 0.854358, acc: 0.289062] 117: [D loss: 0.633838, acc: 0.546875] [A loss: 1.871961, acc: 0.000000] 118: [D loss: 0.470233, acc: 0.871094] [A loss: 0.750248, acc: 0.476562] 119: [D loss: 0.674383, acc: 0.515625] [A loss: 1.916579, acc: 0.000000] 120: [D loss: 0.480907, acc: 0.873047] [A loss: 0.776683, acc: 0.359375] 121: [D loss: 0.694036, acc: 0.515625] [A loss: 1.796744, acc: 0.000000] 122: [D loss: 0.493801, acc: 0.875000] [A loss: 0.807734, acc: 0.335938] 123: [D loss: 0.660942, acc: 0.515625] [A loss: 1.766164, acc: 0.000000] 124: [D loss: 0.480054, acc: 0.890625] [A loss: 0.805203, acc: 0.289062] 125: [D loss: 0.628344, acc: 0.527344] [A loss: 1.807819, acc: 0.000000] 126: [D loss: 0.481899, acc: 0.861328] [A loss: 0.917650, acc: 0.199219] 127: [D loss: 0.604976, acc: 0.529297] [A loss: 1.789708, acc: 0.000000] 128: [D loss: 0.502912, acc: 0.861328] [A loss: 0.814290, acc: 0.371094] 129: [D loss: 0.660076, acc: 0.509766] [A loss: 1.876268, acc: 0.000000] 130: [D loss: 0.485701, acc: 0.876953] [A loss: 0.737366, acc: 0.457031] 131: [D loss: 0.697297, acc: 0.505859] [A loss: 1.879729, acc: 0.000000] 132: [D loss: 0.479191, acc: 0.882812] [A loss: 0.798204, acc: 0.312500] 133: [D loss: 0.651425, acc: 0.503906] [A loss: 1.750275, acc: 0.000000] 134: [D loss: 0.497435, acc: 0.853516] [A loss: 0.808869, acc: 0.304688] 135: [D loss: 0.642271, acc: 0.521484] [A loss: 1.762406, acc: 0.000000] 136: [D loss: 0.487472, acc: 0.873047] [A loss: 0.751653, acc: 0.414062] 137: [D loss: 0.677665, acc: 0.513672] [A loss: 1.909317, acc: 0.000000] 138: [D loss: 0.501214, acc: 0.863281] [A loss: 0.671422, acc: 0.597656] 139: [D loss: 0.703445, acc: 0.505859] [A loss: 1.799956, acc: 0.000000] 140: [D loss: 0.525729, acc: 0.824219] [A loss: 0.724196, acc: 0.457031] 141: [D loss: 0.710818, acc: 0.511719] [A loss: 1.835843, acc: 0.000000] 142: [D loss: 0.527242, acc: 0.810547] [A loss: 0.623824, acc: 0.667969] 143: [D loss: 0.766115, acc: 0.505859] [A loss: 1.866486, acc: 0.000000] 144: [D loss: 0.548671, acc: 0.794922] [A loss: 0.639258, acc: 0.628906] 145: [D loss: 0.756464, acc: 0.490234] [A loss: 1.707519, acc: 0.000000] 146: [D loss: 0.549116, acc: 0.781250] [A loss: 0.769839, acc: 0.371094] 147: [D loss: 0.732248, acc: 0.503906] [A loss: 1.804942, acc: 0.000000] 148: [D loss: 0.566644, acc: 0.765625] [A loss: 0.751933, acc: 0.421875] 149: [D loss: 0.744242, acc: 0.505859] [A loss: 1.931153, acc: 0.000000] 150: [D loss: 0.594284, acc: 0.730469] [A loss: 0.666569, acc: 0.628906] 151: [D loss: 0.782170, acc: 0.503906] [A loss: 1.917943, acc: 0.000000] 152: [D loss: 0.593883, acc: 0.761719] [A loss: 0.646506, acc: 0.617188] 153: [D loss: 0.774027, acc: 0.498047] [A loss: 1.758642, acc: 0.000000] 154: [D loss: 0.597380, acc: 0.742188] [A loss: 0.696757, acc: 0.507812] 155: [D loss: 0.754631, acc: 0.500000] [A loss: 1.680158, acc: 0.000000] 156: [D loss: 0.599029, acc: 0.722656] [A loss: 0.751227, acc: 0.394531] 157: [D loss: 0.757701, acc: 0.498047] [A loss: 1.724898, acc: 0.000000] 158: [D loss: 0.589248, acc: 0.757812] [A loss: 0.719372, acc: 0.445312] 159: [D loss: 0.747194, acc: 0.501953] [A loss: 1.732726, acc: 0.000000] 160: [D loss: 0.608958, acc: 0.746094] [A loss: 0.773504, acc: 0.378906] 161: [D loss: 0.742431, acc: 0.501953] [A loss: 1.672892, acc: 0.000000] 162: [D loss: 0.610963, acc: 0.712891] [A loss: 0.761937, acc: 0.382812] 163: [D loss: 0.726242, acc: 0.501953] [A loss: 1.658590, acc: 0.000000] 164: [D loss: 0.594407, acc: 0.744141] [A loss: 0.732271, acc: 0.468750] 165: [D loss: 0.734499, acc: 0.505859] [A loss: 1.721324, acc: 0.000000] 166: [D loss: 0.615051, acc: 0.714844] [A loss: 0.667419, acc: 0.582031] 167: [D loss: 0.774080, acc: 0.498047] [A loss: 1.568213, acc: 0.000000] 168: [D loss: 0.624193, acc: 0.683594] [A loss: 0.692420, acc: 0.531250] 169: [D loss: 0.725524, acc: 0.496094] [A loss: 1.446794, acc: 0.000000] 170: [D loss: 0.589144, acc: 0.781250] [A loss: 0.793827, acc: 0.281250] 171: [D loss: 0.691349, acc: 0.498047] [A loss: 1.578500, acc: 0.000000] 172: [D loss: 0.611582, acc: 0.734375] [A loss: 0.696306, acc: 0.519531] 173: [D loss: 0.703767, acc: 0.500000] [A loss: 1.482425, acc: 0.000000] 174: [D loss: 0.596964, acc: 0.767578] [A loss: 0.741047, acc: 0.417969] 175: [D loss: 0.700280, acc: 0.498047] [A loss: 1.411265, acc: 0.000000] 176: [D loss: 0.596991, acc: 0.773438] [A loss: 0.762189, acc: 0.359375] 177: [D loss: 0.690643, acc: 0.503906] [A loss: 1.567083, acc: 0.000000] 178: [D loss: 0.597354, acc: 0.753906] [A loss: 0.669196, acc: 0.566406] 179: [D loss: 0.720156, acc: 0.503906] [A loss: 1.539220, acc: 0.000000] 180: [D loss: 0.610463, acc: 0.707031] [A loss: 0.717383, acc: 0.425781] 181: [D loss: 0.694097, acc: 0.496094] [A loss: 1.265436, acc: 0.000000] 182: [D loss: 0.596804, acc: 0.732422] [A loss: 0.828001, acc: 0.207031] 183: [D loss: 0.656401, acc: 0.517578] [A loss: 1.413484, acc: 0.000000] 184: [D loss: 0.579793, acc: 0.789062] [A loss: 0.759408, acc: 0.386719] 185: [D loss: 0.681069, acc: 0.503906] [A loss: 1.606568, acc: 0.000000] 186: [D loss: 0.596841, acc: 0.736328] [A loss: 0.619409, acc: 0.726562] 187: [D loss: 0.711855, acc: 0.501953] [A loss: 1.359936, acc: 0.000000] 188: [D loss: 0.579177, acc: 0.789062] [A loss: 0.769815, acc: 0.316406] 189: [D loss: 0.670500, acc: 0.500000] [A loss: 1.349250, acc: 0.000000] 190: [D loss: 0.577857, acc: 0.792969] [A loss: 0.777920, acc: 0.296875] 191: [D loss: 0.653306, acc: 0.519531] [A loss: 1.475872, acc: 0.000000] 192: [D loss: 0.573635, acc: 0.802734] [A loss: 0.665426, acc: 0.605469] 193: [D loss: 0.697124, acc: 0.503906] [A loss: 1.510766, acc: 0.000000] 194: [D loss: 0.582589, acc: 0.781250] [A loss: 0.670743, acc: 0.585938] 195: [D loss: 0.684655, acc: 0.507812] [A loss: 1.351289, acc: 0.000000] 196: [D loss: 0.557641, acc: 0.835938] [A loss: 0.709227, acc: 0.484375] 197: [D loss: 0.663648, acc: 0.509766] [A loss: 1.416290, acc: 0.000000] 198: [D loss: 0.568215, acc: 0.832031] [A loss: 0.711556, acc: 0.421875] 199: [D loss: 0.657952, acc: 0.509766] [A loss: 1.382993, acc: 0.000000] 200: [D loss: 0.564555, acc: 0.835938] [A loss: 0.723405, acc: 0.421875] 201: [D loss: 0.659738, acc: 0.513672] [A loss: 1.458492, acc: 0.000000] 202: [D loss: 0.560924, acc: 0.839844] [A loss: 0.715121, acc: 0.460938] 203: [D loss: 0.684180, acc: 0.503906] [A loss: 1.509429, acc: 0.000000] 204: [D loss: 0.564183, acc: 0.812500] [A loss: 0.692705, acc: 0.515625] 205: [D loss: 0.681203, acc: 0.501953] [A loss: 1.460300, acc: 0.000000] 206: [D loss: 0.570550, acc: 0.806641] [A loss: 0.743847, acc: 0.367188] 207: [D loss: 0.650996, acc: 0.513672] [A loss: 1.351387, acc: 0.000000] 208: [D loss: 0.564535, acc: 0.824219] [A loss: 0.809748, acc: 0.277344] 209: [D loss: 0.641581, acc: 0.539062] [A loss: 1.544688, acc: 0.000000] 210: [D loss: 0.562323, acc: 0.810547] [A loss: 0.688689, acc: 0.539062] 211: [D loss: 0.702051, acc: 0.515625] [A loss: 1.562160, acc: 0.000000] 212: [D loss: 0.578003, acc: 0.753906] [A loss: 0.693824, acc: 0.511719] 213: [D loss: 0.697344, acc: 0.511719] [A loss: 1.434884, acc: 0.000000] 214: [D loss: 0.566286, acc: 0.792969] [A loss: 0.796572, acc: 0.300781] 215: [D loss: 0.642650, acc: 0.529297] [A loss: 1.541709, acc: 0.000000] 216: [D loss: 0.560267, acc: 0.798828] [A loss: 0.723930, acc: 0.460938] 217: [D loss: 0.694224, acc: 0.509766] [A loss: 1.500922, acc: 0.000000] 218: [D loss: 0.584322, acc: 0.765625] [A loss: 0.706731, acc: 0.472656] 219: [D loss: 0.713487, acc: 0.505859] [A loss: 1.383191, acc: 0.003906] 220: [D loss: 0.577382, acc: 0.757812] [A loss: 0.879247, acc: 0.160156] 221: [D loss: 0.639825, acc: 0.570312] [A loss: 1.368319, acc: 0.000000] 222: [D loss: 0.580507, acc: 0.777344] [A loss: 0.795833, acc: 0.324219] 223: [D loss: 0.655587, acc: 0.529297] [A loss: 1.422933, acc: 0.003906] 224: [D loss: 0.583067, acc: 0.781250] [A loss: 0.757963, acc: 0.398438] 225: [D loss: 0.706288, acc: 0.509766] [A loss: 1.589180, acc: 0.000000] 226: [D loss: 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0.000000] 240: [D loss: 0.618330, acc: 0.703125] [A loss: 0.740874, acc: 0.414062] 241: [D loss: 0.705424, acc: 0.527344] [A loss: 1.275711, acc: 0.000000] 242: [D loss: 0.600108, acc: 0.734375] [A loss: 0.859374, acc: 0.238281] 243: [D loss: 0.645040, acc: 0.574219] [A loss: 1.314505, acc: 0.003906] 244: [D loss: 0.599856, acc: 0.738281] [A loss: 0.842223, acc: 0.242188] 245: [D loss: 0.679047, acc: 0.542969] [A loss: 1.480669, acc: 0.000000] 246: [D loss: 0.614649, acc: 0.689453] [A loss: 0.634994, acc: 0.660156] 247: [D loss: 0.726250, acc: 0.501953] [A loss: 1.381817, acc: 0.000000] 248: [D loss: 0.612141, acc: 0.724609] [A loss: 0.769544, acc: 0.351562] 249: [D loss: 0.693104, acc: 0.539062] [A loss: 1.427350, acc: 0.000000] 250: [D loss: 0.616766, acc: 0.666016] [A loss: 0.764745, acc: 0.347656] 251: [D loss: 0.696942, acc: 0.531250] [A loss: 1.328921, acc: 0.000000] 252: [D loss: 0.613081, acc: 0.705078] [A loss: 0.803257, acc: 0.312500] 253: [D loss: 0.655653, acc: 0.539062] [A loss: 1.329263, acc: 0.000000] 254: [D loss: 0.616335, acc: 0.708984] [A loss: 0.829258, acc: 0.257812] 255: [D loss: 0.686010, acc: 0.539062] [A loss: 1.409249, acc: 0.000000] 256: [D loss: 0.620442, acc: 0.689453] [A loss: 0.744441, acc: 0.390625] 257: [D loss: 0.706016, acc: 0.517578] [A loss: 1.433411, acc: 0.000000] 258: [D loss: 0.614404, acc: 0.687500] [A loss: 0.733392, acc: 0.429688] 259: [D loss: 0.695537, acc: 0.527344] [A loss: 1.458053, acc: 0.000000] 260: [D loss: 0.625765, acc: 0.666016] [A loss: 0.680095, acc: 0.531250] 261: [D loss: 0.722009, acc: 0.500000] [A loss: 1.402973, acc: 0.000000] 262: [D loss: 0.632322, acc: 0.673828] [A loss: 0.719896, acc: 0.449219] 263: [D loss: 0.693935, acc: 0.509766] [A loss: 1.251231, acc: 0.003906] 264: [D loss: 0.627024, acc: 0.693359] [A loss: 0.779880, acc: 0.285156] 265: [D loss: 0.661116, acc: 0.527344] [A loss: 1.207825, acc: 0.000000] 266: [D loss: 0.616854, acc: 0.697266] [A loss: 0.875529, acc: 0.152344] 267: [D loss: 0.644282, acc: 0.572266] [A loss: 1.249549, acc: 0.000000] 268: [D loss: 0.630765, acc: 0.677734] [A loss: 0.846495, acc: 0.191406] 269: [D loss: 0.682212, acc: 0.533203] [A loss: 1.456548, acc: 0.000000] 270: [D loss: 0.624514, acc: 0.685547] [A loss: 0.657116, acc: 0.601562] 271: [D loss: 0.737946, acc: 0.507812] [A loss: 1.459582, acc: 0.000000] 272: [D loss: 0.628596, acc: 0.658203] [A loss: 0.654112, acc: 0.621094] 273: [D loss: 0.703523, acc: 0.517578] [A loss: 1.253392, acc: 0.000000] 274: [D loss: 0.618655, acc: 0.714844] [A loss: 0.787569, acc: 0.289062] 275: [D loss: 0.676202, acc: 0.529297] [A loss: 1.203682, acc: 0.011719] 276: [D loss: 0.616971, acc: 0.730469] [A loss: 0.787096, acc: 0.324219] 277: [D loss: 0.676947, acc: 0.517578] [A loss: 1.281107, acc: 0.000000] 278: [D loss: 0.629569, acc: 0.677734] [A loss: 0.746785, acc: 0.394531] 279: [D loss: 0.684968, acc: 0.523438] [A loss: 1.364556, acc: 0.000000] 280: [D loss: 0.621564, acc: 0.675781] [A loss: 0.700070, acc: 0.523438] 281: [D loss: 0.707658, acc: 0.511719] [A loss: 1.400126, acc: 0.000000] 282: [D loss: 0.627941, acc: 0.691406] [A loss: 0.667334, acc: 0.566406] 283: [D loss: 0.691073, acc: 0.515625] [A loss: 1.262087, acc: 0.003906] 284: [D loss: 0.626415, acc: 0.705078] [A loss: 0.765933, acc: 0.394531] 285: [D loss: 0.680424, acc: 0.544922] [A loss: 1.286419, acc: 0.003906] 286: [D loss: 0.622112, acc: 0.693359] [A loss: 0.774031, acc: 0.375000] 287: [D loss: 0.687655, acc: 0.525391] [A loss: 1.338729, acc: 0.000000] 288: [D loss: 0.616286, acc: 0.708984] [A loss: 0.761858, acc: 0.351562] 289: [D loss: 0.676313, acc: 0.541016] [A loss: 1.388519, acc: 0.000000] 290: [D loss: 0.625950, acc: 0.675781] [A loss: 0.705175, acc: 0.515625] 291: [D loss: 0.719341, acc: 0.517578] [A loss: 1.459004, acc: 0.000000] 292: [D loss: 0.624387, acc: 0.689453] [A loss: 0.711846, acc: 0.453125] 293: [D loss: 0.690995, acc: 0.509766] [A loss: 1.443625, acc: 0.000000] 294: [D loss: 0.630995, acc: 0.656250] [A 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0.646399, acc: 0.634766] [A loss: 0.652356, acc: 0.632812] 309: [D loss: 0.724530, acc: 0.513672] [A loss: 1.487624, acc: 0.000000] 310: [D loss: 0.634793, acc: 0.648438] [A loss: 0.640442, acc: 0.652344] 311: [D loss: 0.739984, acc: 0.501953] [A loss: 1.221714, acc: 0.000000] 312: [D loss: 0.648547, acc: 0.638672] [A loss: 0.727584, acc: 0.453125] 313: [D loss: 0.677910, acc: 0.541016] [A loss: 1.102092, acc: 0.015625] 314: [D loss: 0.631431, acc: 0.664062] [A loss: 0.807850, acc: 0.269531] 315: [D loss: 0.654297, acc: 0.576172] [A loss: 1.079172, acc: 0.023438] 316: [D loss: 0.632882, acc: 0.636719] [A loss: 0.877548, acc: 0.175781] 317: [D loss: 0.663956, acc: 0.564453] [A loss: 1.147872, acc: 0.019531] 318: [D loss: 0.637400, acc: 0.662109] [A loss: 0.912816, acc: 0.136719] 319: [D loss: 0.667590, acc: 0.560547] [A loss: 1.287831, acc: 0.003906] 320: [D loss: 0.628088, acc: 0.683594] [A loss: 0.712777, acc: 0.476562] 321: [D loss: 0.705448, acc: 0.509766] [A loss: 1.641119, acc: 0.000000] 322: [D loss: 0.665972, acc: 0.578125] [A loss: 0.489052, acc: 0.902344] 323: [D loss: 0.774217, acc: 0.503906] [A loss: 1.278285, acc: 0.003906] 324: [D loss: 0.654427, acc: 0.625000] [A loss: 0.700797, acc: 0.511719] 325: [D loss: 0.707061, acc: 0.537109] [A loss: 1.120851, acc: 0.007812] 326: [D loss: 0.639367, acc: 0.650391] [A loss: 0.771119, acc: 0.300781] 327: [D loss: 0.659969, acc: 0.574219] [A loss: 1.026334, acc: 0.031250] 328: [D loss: 0.622692, acc: 0.697266] [A loss: 0.820807, acc: 0.242188] 329: [D loss: 0.662608, acc: 0.564453] [A loss: 1.042865, acc: 0.050781] 330: [D loss: 0.649276, acc: 0.632812] [A loss: 0.883394, acc: 0.171875] 331: [D loss: 0.670108, acc: 0.591797] [A loss: 1.154093, acc: 0.015625] 332: [D loss: 0.640727, acc: 0.660156] [A loss: 0.812210, acc: 0.292969] 333: [D loss: 0.689777, acc: 0.533203] [A loss: 1.376210, acc: 0.000000] 334: [D loss: 0.628561, acc: 0.675781] [A loss: 0.632476, acc: 0.687500] 335: [D loss: 0.718347, acc: 0.513672] [A loss: 1.401543, acc: 0.000000] 336: [D loss: 0.659265, acc: 0.591797] [A loss: 0.643451, acc: 0.652344] 337: [D loss: 0.699544, acc: 0.503906] [A loss: 1.298460, acc: 0.000000] 338: [D loss: 0.645385, acc: 0.630859] [A loss: 0.672500, acc: 0.578125] 339: [D loss: 0.715153, acc: 0.523438] [A loss: 1.202263, acc: 0.000000] 340: [D loss: 0.643815, acc: 0.644531] [A loss: 0.731254, acc: 0.441406] 341: [D loss: 0.695643, acc: 0.531250] [A loss: 1.174702, acc: 0.011719] 342: [D loss: 0.634693, acc: 0.695312] [A loss: 0.802089, acc: 0.261719] 343: [D loss: 0.667979, acc: 0.542969] [A loss: 1.179734, acc: 0.003906] 344: [D loss: 0.656455, acc: 0.609375] [A loss: 0.768083, acc: 0.359375] 345: [D loss: 0.673827, acc: 0.548828] [A loss: 1.153732, acc: 0.011719] 346: [D loss: 0.648295, acc: 0.675781] [A loss: 0.806034, acc: 0.316406] 347: [D loss: 0.683108, acc: 0.529297] [A loss: 1.305204, acc: 0.003906] 348: [D loss: 0.648909, acc: 0.625000] [A loss: 0.703853, acc: 0.496094] 349: [D loss: 0.698127, acc: 0.537109] [A loss: 1.292623, acc: 0.000000] 350: [D loss: 0.658263, acc: 0.626953] [A loss: 0.687809, acc: 0.539062] 351: [D loss: 0.721831, acc: 0.509766] [A loss: 1.338947, acc: 0.000000] 352: [D loss: 0.651832, acc: 0.607422] [A loss: 0.687927, acc: 0.558594] 353: [D loss: 0.729924, acc: 0.521484] [A loss: 1.247947, acc: 0.000000] 354: [D loss: 0.655579, acc: 0.626953] [A loss: 0.677301, acc: 0.542969] 355: [D loss: 0.697814, acc: 0.535156] [A loss: 1.123188, acc: 0.007812] 356: [D loss: 0.644144, acc: 0.650391] [A loss: 0.772768, acc: 0.351562] 357: [D loss: 0.685035, acc: 0.535156] [A loss: 1.111906, acc: 0.023438] 358: [D loss: 0.656162, acc: 0.597656] [A loss: 0.830321, acc: 0.234375] 359: [D loss: 0.663346, acc: 0.564453] [A loss: 1.057181, acc: 0.031250] 360: [D loss: 0.661191, acc: 0.630859] [A loss: 0.849099, acc: 0.199219] 361: [D loss: 0.678571, acc: 0.562500] [A loss: 1.126259, acc: 0.011719] 362: [D loss: 0.636384, acc: 0.685547] [A loss: 0.757188, acc: 0.363281] 363: [D loss: 0.684442, acc: 0.542969] [A loss: 1.325356, acc: 0.003906] 364: [D loss: 0.655956, acc: 0.599609] [A loss: 0.679159, acc: 0.527344] 365: [D loss: 0.707010, acc: 0.527344] [A loss: 1.357897, acc: 0.000000] 366: [D loss: 0.666789, acc: 0.574219] [A loss: 0.655222, acc: 0.613281] 367: [D loss: 0.717797, acc: 0.511719] [A loss: 1.158798, acc: 0.007812] 368: [D loss: 0.645176, acc: 0.646484] [A loss: 0.736374, acc: 0.382812] 369: [D loss: 0.688619, acc: 0.513672] [A loss: 1.077613, acc: 0.003906] 370: [D loss: 0.641640, acc: 0.677734] [A loss: 0.777737, acc: 0.324219] 371: [D loss: 0.694333, acc: 0.539062] [A loss: 1.148739, acc: 0.015625] 372: [D loss: 0.650859, acc: 0.660156] [A loss: 0.765531, acc: 0.398438] 373: [D loss: 0.683234, acc: 0.562500] [A loss: 1.145135, acc: 0.003906] 374: [D loss: 0.657466, acc: 0.628906] [A loss: 0.735319, acc: 0.414062] 375: [D loss: 0.681205, acc: 0.564453] [A loss: 1.086095, acc: 0.019531] 376: [D loss: 0.667324, acc: 0.601562] [A loss: 0.818852, acc: 0.273438] 377: [D loss: 0.681341, acc: 0.531250] [A loss: 1.132207, acc: 0.007812] 378: [D loss: 0.653926, acc: 0.632812] [A loss: 0.737291, acc: 0.425781] 379: [D loss: 0.706026, acc: 0.523438] [A loss: 1.348177, acc: 0.003906] 380: [D loss: 0.661852, acc: 0.599609] [A loss: 0.626965, acc: 0.695312] 381: [D loss: 0.722852, acc: 0.517578] [A loss: 1.197015, acc: 0.000000] 382: [D loss: 0.673890, acc: 0.587891] [A loss: 0.691194, acc: 0.515625] 383: [D loss: 0.718147, acc: 0.509766] [A loss: 1.088210, acc: 0.023438] 384: [D loss: 0.649373, acc: 0.664062] [A loss: 0.759974, acc: 0.371094] 385: [D loss: 0.689961, acc: 0.556641] [A loss: 1.043218, acc: 0.031250] 386: [D loss: 0.659655, acc: 0.617188] [A loss: 0.784197, acc: 0.359375] 387: [D loss: 0.679922, acc: 0.566406] [A loss: 1.091304, acc: 0.015625] 388: [D loss: 0.662335, acc: 0.595703] [A loss: 0.751436, acc: 0.406250] 389: [D loss: 0.690624, acc: 0.533203] [A loss: 1.190107, acc: 0.000000] 390: [D loss: 0.664156, acc: 0.611328] [A loss: 0.694782, acc: 0.492188] 391: [D loss: 0.716344, acc: 0.511719] [A loss: 1.187439, acc: 0.007812] 392: [D loss: 0.662359, acc: 0.619141] [A loss: 0.694513, acc: 0.507812] 393: [D loss: 0.702285, acc: 0.523438] [A loss: 1.100956, acc: 0.015625] 394: [D loss: 0.654796, acc: 0.621094] [A loss: 0.763840, acc: 0.324219] 395: [D loss: 0.687681, acc: 0.535156] [A loss: 1.014026, acc: 0.035156] 396: [D loss: 0.659644, acc: 0.625000] [A loss: 0.820305, acc: 0.226562] 397: [D loss: 0.677228, acc: 0.562500] [A loss: 1.090721, acc: 0.015625] 398: [D loss: 0.649329, acc: 0.640625] [A loss: 0.822345, acc: 0.226562] 399: [D loss: 0.675597, acc: 0.544922] [A loss: 1.054586, acc: 0.035156] 400: [D loss: 0.660146, acc: 0.623047] [A loss: 0.860274, acc: 0.195312] 401: [D loss: 0.690285, acc: 0.554688] [A loss: 1.164714, acc: 0.007812] 402: [D loss: 0.659011, acc: 0.619141] [A loss: 0.765377, acc: 0.324219] 403: [D loss: 0.690576, acc: 0.535156] [A loss: 1.202789, acc: 0.000000] 404: [D loss: 0.659510, acc: 0.619141] [A loss: 0.646592, acc: 0.652344] 405: [D loss: 0.704293, acc: 0.513672] [A loss: 1.308086, acc: 0.000000] 406: [D loss: 0.657406, acc: 0.611328] [A loss: 0.618814, acc: 0.707031] 407: [D loss: 0.719541, acc: 0.505859] [A loss: 1.175769, acc: 0.007812] 408: [D loss: 0.661062, acc: 0.597656] [A loss: 0.724224, acc: 0.421875] 409: [D loss: 0.695280, acc: 0.552734] [A loss: 1.040857, acc: 0.027344] 410: [D loss: 0.650669, acc: 0.650391] [A loss: 0.810828, acc: 0.203125] 411: [D loss: 0.676782, acc: 0.576172] [A loss: 1.004812, acc: 0.035156] 412: [D loss: 0.652610, acc: 0.666016] [A loss: 0.812009, acc: 0.257812] 413: [D loss: 0.673290, acc: 0.572266] [A loss: 1.088765, acc: 0.019531] 414: [D loss: 0.655233, acc: 0.609375] [A loss: 0.831591, acc: 0.214844] 415: [D loss: 0.669733, acc: 0.574219] [A loss: 1.145946, acc: 0.035156] 416: [D loss: 0.645068, acc: 0.644531] [A loss: 0.738769, acc: 0.398438] 417: [D loss: 0.704835, acc: 0.513672] [A loss: 1.382263, acc: 0.000000] 418: [D loss: 0.650750, acc: 0.603516] [A loss: 0.660107, acc: 0.605469] 419: [D loss: 0.752961, acc: 0.517578] [A loss: 1.324680, acc: 0.000000] 420: [D loss: 0.669294, acc: 0.589844] [A loss: 0.636360, acc: 0.679688] 421: [D loss: 0.735133, acc: 0.501953] [A loss: 1.139359, acc: 0.011719] 422: [D loss: 0.649317, acc: 0.660156] [A loss: 0.761623, acc: 0.300781] 423: [D loss: 0.673163, acc: 0.554688] [A loss: 0.998770, acc: 0.050781] 424: [D loss: 0.657820, acc: 0.607422] [A loss: 0.815514, acc: 0.277344] 425: [D loss: 0.672699, acc: 0.568359] [A loss: 1.021811, acc: 0.062500] 426: [D loss: 0.656096, acc: 0.632812] [A loss: 0.869700, acc: 0.160156] 427: [D loss: 0.667664, acc: 0.558594] [A loss: 1.068129, acc: 0.019531] 428: [D loss: 0.657458, acc: 0.623047] [A loss: 0.815506, acc: 0.242188] 429: [D loss: 0.665771, acc: 0.570312] [A loss: 1.065546, acc: 0.023438] 430: [D loss: 0.654402, acc: 0.640625] [A loss: 0.803430, acc: 0.277344] 431: [D loss: 0.693017, acc: 0.544922] [A loss: 1.112276, acc: 0.015625] 432: [D loss: 0.660508, acc: 0.582031] [A loss: 0.775317, acc: 0.335938] 433: [D loss: 0.692478, acc: 0.544922] [A loss: 1.204871, acc: 0.003906] 434: [D loss: 0.653620, acc: 0.636719] [A loss: 0.699487, acc: 0.488281] 435: [D loss: 0.696082, acc: 0.541016] [A loss: 1.166016, acc: 0.015625] 436: [D loss: 0.674748, acc: 0.568359] [A loss: 0.763511, acc: 0.355469] 437: [D loss: 0.686704, acc: 0.544922] [A loss: 1.065827, acc: 0.031250] 438: [D loss: 0.650248, acc: 0.660156] [A loss: 0.719677, acc: 0.468750] 439: [D loss: 0.717628, acc: 0.527344] [A loss: 1.201279, acc: 0.007812] 440: [D loss: 0.663780, acc: 0.619141] [A loss: 0.701097, acc: 0.496094] 441: [D loss: 0.707337, acc: 0.517578] [A loss: 1.158412, acc: 0.007812] 442: [D loss: 0.661927, acc: 0.607422] [A loss: 0.705016, acc: 0.488281] 443: [D loss: 0.688011, acc: 0.529297] [A loss: 1.053337, acc: 0.011719] 444: [D loss: 0.664303, acc: 0.597656] [A loss: 0.774155, acc: 0.355469] 445: [D loss: 0.683530, acc: 0.539062] [A loss: 1.035199, acc: 0.027344] 446: [D loss: 0.659744, acc: 0.603516] [A loss: 0.791690, acc: 0.285156] 447: [D loss: 0.677579, acc: 0.572266] [A loss: 1.010702, acc: 0.050781] 448: [D loss: 0.662006, acc: 0.601562] [A loss: 0.791389, acc: 0.277344] 449: [D loss: 0.678299, acc: 0.554688] [A loss: 1.019954, acc: 0.039062] 450: [D loss: 0.660626, acc: 0.626953] [A loss: 0.846648, acc: 0.207031] 451: [D loss: 0.675958, acc: 0.552734] [A loss: 1.097741, acc: 0.007812] 452: [D loss: 0.659439, acc: 0.619141] [A loss: 0.763338, acc: 0.359375] 453: [D loss: 0.683870, acc: 0.542969] [A loss: 1.133401, acc: 0.003906] 454: [D loss: 0.654842, acc: 0.621094] [A loss: 0.745010, acc: 0.406250] 455: [D loss: 0.719996, acc: 0.509766] [A loss: 1.186277, acc: 0.007812] 456: [D loss: 0.668635, acc: 0.601562] [A loss: 0.675061, acc: 0.589844] 457: [D loss: 0.706644, acc: 0.519531] [A loss: 1.190270, acc: 0.003906] 458: [D loss: 0.670160, acc: 0.578125] [A loss: 0.707748, acc: 0.496094] 459: [D loss: 0.690869, acc: 0.533203] [A loss: 1.022937, acc: 0.031250] 460: [D loss: 0.669648, acc: 0.609375] [A loss: 0.738943, acc: 0.398438] 461: [D loss: 0.676932, acc: 0.570312] [A loss: 0.941433, acc: 0.089844] 462: [D loss: 0.662066, acc: 0.585938] [A loss: 0.895476, acc: 0.132812] 463: [D loss: 0.657049, acc: 0.615234] [A loss: 0.897517, acc: 0.109375] 464: [D loss: 0.654983, acc: 0.628906] [A loss: 0.913374, acc: 0.093750] 465: [D loss: 0.669775, acc: 0.597656] [A loss: 0.914480, acc: 0.113281] 466: [D loss: 0.659547, acc: 0.607422] [A loss: 0.978280, acc: 0.078125] 467: [D loss: 0.677444, acc: 0.560547] [A loss: 0.915376, acc: 0.109375] 468: [D loss: 0.666639, acc: 0.582031] [A loss: 1.081082, acc: 0.015625] 469: [D loss: 0.664857, acc: 0.611328] [A loss: 0.766683, acc: 0.343750] 470: [D loss: 0.685404, acc: 0.562500] [A loss: 1.199587, acc: 0.003906] 471: [D loss: 0.661043, acc: 0.589844] [A loss: 0.725594, acc: 0.433594] 472: [D loss: 0.696085, acc: 0.523438] [A loss: 1.272794, acc: 0.000000] 473: [D loss: 0.669185, acc: 0.580078] [A loss: 0.620365, acc: 0.691406] 474: [D loss: 0.707086, acc: 0.517578] [A loss: 1.068117, acc: 0.019531] 475: [D loss: 0.652091, acc: 0.632812] [A loss: 0.751816, acc: 0.371094] 476: [D loss: 0.684744, acc: 0.562500] [A loss: 1.071406, acc: 0.019531] 477: [D loss: 0.661122, acc: 0.636719] [A loss: 0.752097, acc: 0.359375] 478: [D loss: 0.673562, acc: 0.564453] [A loss: 1.044870, acc: 0.031250] 479: [D loss: 0.655998, acc: 0.611328] [A loss: 0.767968, acc: 0.347656] 480: [D loss: 0.686237, acc: 0.548828] [A loss: 1.019264, acc: 0.054688] 481: [D loss: 0.669916, acc: 0.595703] [A loss: 0.808677, acc: 0.246094] 482: [D loss: 0.680768, acc: 0.566406] [A loss: 1.040628, acc: 0.031250] 483: [D loss: 0.648385, acc: 0.642578] [A loss: 0.789650, acc: 0.328125] 484: [D loss: 0.696129, acc: 0.537109] [A loss: 1.117091, acc: 0.011719] 485: [D loss: 0.674554, acc: 0.593750] [A loss: 0.807895, acc: 0.316406] 486: [D loss: 0.670107, acc: 0.582031] [A loss: 1.004065, acc: 0.062500] 487: [D loss: 0.649739, acc: 0.625000] [A loss: 0.838281, acc: 0.234375] 488: [D loss: 0.691366, acc: 0.542969] [A loss: 1.158883, acc: 0.015625] 489: [D loss: 0.657153, acc: 0.593750] [A loss: 0.702395, acc: 0.507812] 490: [D loss: 0.699660, acc: 0.505859] [A loss: 1.090168, acc: 0.019531] 491: [D loss: 0.665660, acc: 0.597656] [A loss: 0.726853, acc: 0.453125] 492: [D loss: 0.682859, acc: 0.562500] [A loss: 1.065160, acc: 0.031250] 493: [D loss: 0.660671, acc: 0.601562] [A loss: 0.740453, acc: 0.417969] 494: [D loss: 0.685141, acc: 0.537109] [A loss: 1.055308, acc: 0.035156] 495: [D loss: 0.662471, acc: 0.619141] [A loss: 0.738893, acc: 0.425781] 496: [D loss: 0.696275, acc: 0.539062] [A loss: 1.107652, acc: 0.007812] 497: [D loss: 0.655136, acc: 0.623047] [A loss: 0.746578, acc: 0.406250] 498: [D loss: 0.682036, acc: 0.558594] [A loss: 1.033956, acc: 0.035156] 499: [D loss: 0.658605, acc: 0.599609] [A loss: 0.780300, acc: 0.292969] 500: [D loss: 0.680508, acc: 0.541016] [A loss: 0.956407, acc: 0.089844] 501: [D loss: 0.651554, acc: 0.654297] [A loss: 0.867416, acc: 0.171875] 502: [D loss: 0.668631, acc: 0.591797] [A loss: 0.935928, acc: 0.093750] 503: [D loss: 0.669851, acc: 0.591797] [A loss: 0.963367, acc: 0.085938] 504: [D loss: 0.674976, acc: 0.568359] [A loss: 0.909661, acc: 0.160156] 505: [D loss: 0.662261, acc: 0.587891] [A loss: 0.951477, acc: 0.089844] 506: [D loss: 0.671023, acc: 0.591797] [A loss: 0.927526, acc: 0.125000] 507: [D loss: 0.689265, acc: 0.566406] [A loss: 1.037402, acc: 0.039062] 508: [D loss: 0.670662, acc: 0.587891] [A loss: 0.906639, acc: 0.144531] 509: [D loss: 0.669451, acc: 0.564453] [A loss: 1.036476, acc: 0.058594] 510: [D loss: 0.664427, acc: 0.593750] [A loss: 0.773686, acc: 0.375000] 511: [D loss: 0.686937, acc: 0.558594] [A loss: 1.163897, acc: 0.011719] 512: [D loss: 0.668531, acc: 0.599609] [A loss: 0.702601, acc: 0.515625] 513: [D loss: 0.704246, acc: 0.548828] [A loss: 1.139783, acc: 0.023438] 514: [D loss: 0.675198, acc: 0.562500] [A loss: 0.724229, acc: 0.492188] 515: [D loss: 0.709297, acc: 0.552734] [A loss: 1.120830, acc: 0.035156] 516: [D loss: 0.680829, acc: 0.562500] [A loss: 0.716757, acc: 0.464844] 517: [D loss: 0.694241, acc: 0.523438] [A loss: 1.056766, acc: 0.019531] 518: [D loss: 0.654211, acc: 0.613281] [A loss: 0.771667, acc: 0.335938] 519: [D loss: 0.679993, acc: 0.521484] [A loss: 0.919863, acc: 0.136719] 520: [D loss: 0.667361, acc: 0.599609] [A loss: 0.821968, acc: 0.222656] 521: [D loss: 0.684856, acc: 0.527344] [A loss: 1.017345, acc: 0.035156] 522: [D loss: 0.661889, acc: 0.591797] [A loss: 0.800101, acc: 0.269531] 523: [D loss: 0.674491, acc: 0.560547] [A loss: 1.008750, acc: 0.039062] 524: [D loss: 0.671689, acc: 0.566406] [A loss: 0.811010, acc: 0.281250] 525: [D loss: 0.673176, acc: 0.566406] [A loss: 0.996020, acc: 0.078125] 526: [D loss: 0.670992, acc: 0.595703] [A loss: 0.830232, acc: 0.253906] 527: [D loss: 0.685069, acc: 0.548828] [A loss: 1.014145, acc: 0.039062] 528: [D loss: 0.670676, acc: 0.589844] [A loss: 0.814999, acc: 0.277344] 529: [D loss: 0.693613, acc: 0.523438] [A loss: 1.054666, acc: 0.046875] 530: [D loss: 0.665240, acc: 0.595703] [A loss: 0.833727, acc: 0.218750] 531: [D loss: 0.682325, acc: 0.546875] [A loss: 1.024492, acc: 0.058594] 532: [D loss: 0.664902, acc: 0.601562] [A loss: 0.757928, acc: 0.367188] 533: [D loss: 0.705800, acc: 0.542969] [A loss: 1.129366, acc: 0.023438] 534: [D loss: 0.674999, acc: 0.566406] [A loss: 0.705549, acc: 0.484375] 535: [D loss: 0.699082, acc: 0.558594] [A loss: 1.113106, acc: 0.023438] 536: [D loss: 0.663552, acc: 0.593750] [A loss: 0.738996, acc: 0.429688] 537: [D loss: 0.685262, acc: 0.535156] [A loss: 1.051164, acc: 0.031250] 538: [D loss: 0.671355, acc: 0.587891] [A loss: 0.729653, acc: 0.421875] 539: [D loss: 0.692233, acc: 0.548828] [A loss: 1.027829, acc: 0.031250] 540: [D loss: 0.666447, acc: 0.607422] [A loss: 0.778884, acc: 0.304688] 541: [D loss: 0.687283, acc: 0.539062] [A loss: 0.955916, acc: 0.089844] 542: [D loss: 0.662627, acc: 0.621094] [A loss: 0.868562, acc: 0.179688] 543: [D loss: 0.677803, acc: 0.570312] [A loss: 0.883690, acc: 0.113281] 544: [D loss: 0.667764, acc: 0.591797] [A loss: 0.988793, acc: 0.070312] 545: [D loss: 0.665931, acc: 0.607422] [A loss: 0.854872, acc: 0.187500] 546: [D loss: 0.677998, acc: 0.556641] [A loss: 1.041257, acc: 0.042969] 547: [D loss: 0.654769, acc: 0.626953] [A loss: 0.799832, acc: 0.296875] 548: [D loss: 0.678297, acc: 0.548828] [A loss: 1.077490, acc: 0.035156] 549: [D loss: 0.682850, acc: 0.564453] [A loss: 0.728427, acc: 0.414062] 550: [D loss: 0.698410, acc: 0.548828] [A loss: 1.108281, acc: 0.015625] 551: [D loss: 0.662597, acc: 0.603516] [A loss: 0.716118, acc: 0.472656] 552: [D loss: 0.709422, acc: 0.537109] [A loss: 1.047292, acc: 0.023438] 553: [D loss: 0.659841, acc: 0.615234] [A loss: 0.751117, acc: 0.386719] 554: [D loss: 0.686376, acc: 0.558594] [A loss: 1.051410, acc: 0.031250] 555: [D loss: 0.652784, acc: 0.625000] [A loss: 0.782984, acc: 0.300781] 556: [D loss: 0.667792, acc: 0.566406] [A loss: 0.980985, acc: 0.066406] 557: [D loss: 0.664323, acc: 0.636719] [A loss: 0.858470, acc: 0.210938] 558: [D loss: 0.684934, acc: 0.558594] [A loss: 1.054197, acc: 0.042969] 559: [D loss: 0.663815, acc: 0.609375] [A loss: 0.801246, acc: 0.281250] 560: [D loss: 0.673240, acc: 0.560547] [A loss: 0.937679, acc: 0.121094] 561: [D loss: 0.678648, acc: 0.560547] [A loss: 0.885119, acc: 0.140625] 562: [D loss: 0.667943, acc: 0.578125] [A loss: 0.905984, acc: 0.140625] 563: [D loss: 0.677720, acc: 0.562500] [A loss: 0.967398, acc: 0.101562] 564: [D loss: 0.651463, acc: 0.636719] [A loss: 0.872302, acc: 0.175781] 565: [D loss: 0.693016, acc: 0.533203] [A loss: 1.151899, acc: 0.011719] 566: [D loss: 0.673187, acc: 0.605469] [A loss: 0.705045, acc: 0.464844] 567: [D loss: 0.694813, acc: 0.529297] [A loss: 1.068611, acc: 0.042969] 568: [D loss: 0.674061, acc: 0.572266] [A loss: 0.790735, acc: 0.292969] 569: [D loss: 0.689059, acc: 0.578125] [A loss: 1.060629, acc: 0.023438] 570: [D loss: 0.657831, acc: 0.607422] [A loss: 0.752142, acc: 0.394531] 571: [D loss: 0.690963, acc: 0.539062] [A loss: 1.091942, acc: 0.019531] 572: [D loss: 0.668838, acc: 0.585938] [A loss: 0.726311, acc: 0.410156] 573: [D loss: 0.697725, acc: 0.539062] [A loss: 1.030398, acc: 0.050781] 574: [D loss: 0.658221, acc: 0.617188] [A loss: 0.769507, acc: 0.363281] 575: [D loss: 0.702295, acc: 0.537109] [A loss: 1.014397, acc: 0.039062] 576: [D loss: 0.675354, acc: 0.566406] [A loss: 0.833001, acc: 0.210938] 577: [D loss: 0.677234, acc: 0.558594] [A loss: 1.037022, acc: 0.039062] 578: [D loss: 0.660090, acc: 0.599609] [A loss: 0.770813, acc: 0.347656] 579: [D loss: 0.680281, acc: 0.548828] [A loss: 1.029107, acc: 0.058594] 580: [D loss: 0.667867, acc: 0.582031] [A loss: 0.786668, acc: 0.316406] 581: [D loss: 0.678645, acc: 0.566406] [A loss: 1.064172, acc: 0.015625] 582: [D loss: 0.670802, acc: 0.582031] [A loss: 0.731084, acc: 0.433594] 583: [D loss: 0.685862, acc: 0.562500] [A loss: 1.015221, acc: 0.062500] 584: [D loss: 0.666453, acc: 0.587891] [A loss: 0.809326, acc: 0.277344] 585: [D loss: 0.700651, acc: 0.558594] [A loss: 1.075324, acc: 0.046875] 586: [D loss: 0.670106, acc: 0.582031] [A loss: 0.776606, acc: 0.328125] 587: [D loss: 0.680768, acc: 0.556641] [A loss: 0.997290, acc: 0.050781] 588: [D loss: 0.661771, acc: 0.578125] [A loss: 0.809085, acc: 0.246094] 589: [D loss: 0.690588, acc: 0.562500] [A loss: 1.060225, acc: 0.031250] 590: [D loss: 0.656775, acc: 0.613281] [A loss: 0.794646, acc: 0.289062] 591: [D loss: 0.694735, acc: 0.529297] [A loss: 0.986446, acc: 0.062500] 592: [D loss: 0.660148, acc: 0.623047] [A loss: 0.817120, acc: 0.281250] 593: [D loss: 0.686423, acc: 0.550781] [A loss: 1.044036, acc: 0.039062] 594: [D loss: 0.671138, acc: 0.566406] [A loss: 0.809443, acc: 0.300781] 595: [D loss: 0.666586, acc: 0.582031] [A loss: 1.016212, acc: 0.074219] 596: [D loss: 0.671026, acc: 0.595703] [A loss: 0.777178, acc: 0.343750] 597: [D loss: 0.683480, acc: 0.580078] [A loss: 1.043516, acc: 0.031250] 598: [D loss: 0.665927, acc: 0.611328] [A loss: 0.804413, acc: 0.253906] 599: [D loss: 0.675168, acc: 0.585938] [A loss: 1.078167, acc: 0.011719] 600: [D loss: 0.668044, acc: 0.589844] [A loss: 0.799746, acc: 0.296875] 601: [D loss: 0.694690, acc: 0.525391] [A loss: 1.122085, acc: 0.023438] 602: [D loss: 0.667623, acc: 0.582031] [A loss: 0.736081, acc: 0.417969] 603: [D loss: 0.708519, acc: 0.533203] [A loss: 1.072716, acc: 0.019531] 604: [D loss: 0.668220, acc: 0.589844] [A loss: 0.769003, acc: 0.375000] 605: [D loss: 0.680708, acc: 0.541016] [A loss: 1.010613, acc: 0.054688] 606: [D loss: 0.659762, acc: 0.617188] [A loss: 0.869937, acc: 0.187500] 607: [D loss: 0.669323, acc: 0.568359] [A loss: 0.925401, acc: 0.132812] 608: [D loss: 0.659893, acc: 0.611328] [A loss: 0.877552, acc: 0.191406] 609: [D loss: 0.662971, acc: 0.603516] [A loss: 0.974525, acc: 0.125000] 610: [D loss: 0.677048, acc: 0.599609] [A loss: 0.850829, acc: 0.218750] 611: [D loss: 0.674662, acc: 0.558594] [A loss: 1.101980, acc: 0.050781] 612: [D loss: 0.671736, acc: 0.591797] [A loss: 0.815140, acc: 0.261719] 613: [D loss: 0.697089, acc: 0.531250] [A loss: 1.090771, acc: 0.027344] 614: [D loss: 0.674311, acc: 0.599609] [A loss: 0.746265, acc: 0.453125] 615: [D loss: 0.674867, acc: 0.537109] [A loss: 1.097134, acc: 0.023438] 616: [D loss: 0.662554, acc: 0.595703] [A loss: 0.794316, acc: 0.308594] 617: [D loss: 0.701769, acc: 0.525391] [A loss: 1.055402, acc: 0.046875] 618: [D loss: 0.663617, acc: 0.625000] [A loss: 0.805722, acc: 0.273438] 619: [D loss: 0.683163, acc: 0.558594] [A loss: 1.044564, acc: 0.035156] 620: [D loss: 0.671713, acc: 0.574219] [A loss: 0.785543, acc: 0.277344] 621: [D loss: 0.678846, acc: 0.554688] [A loss: 1.083715, acc: 0.027344] 622: [D loss: 0.666097, acc: 0.605469] [A loss: 0.758252, acc: 0.371094] 623: [D loss: 0.691484, acc: 0.544922] [A loss: 1.072049, acc: 0.054688] 624: [D loss: 0.666042, acc: 0.595703] [A loss: 0.759049, acc: 0.375000] 625: [D loss: 0.700322, acc: 0.509766] [A loss: 1.065335, acc: 0.046875] 626: [D loss: 0.682612, acc: 0.542969] [A loss: 0.741970, acc: 0.425781] 627: [D loss: 0.687744, acc: 0.544922] [A loss: 1.037992, acc: 0.042969] 628: [D loss: 0.668829, acc: 0.597656] [A loss: 0.791668, acc: 0.277344] 629: [D loss: 0.692195, acc: 0.542969] [A loss: 1.058523, acc: 0.035156] 630: [D loss: 0.675360, acc: 0.589844] [A loss: 0.776121, acc: 0.355469] 631: [D loss: 0.674386, acc: 0.574219] [A loss: 0.990062, acc: 0.039062] 632: [D loss: 0.654433, acc: 0.623047] [A loss: 0.828367, acc: 0.230469] 633: [D loss: 0.694024, acc: 0.535156] [A loss: 1.029184, acc: 0.066406] 634: [D loss: 0.657383, acc: 0.636719] [A loss: 0.791694, acc: 0.300781] 635: [D loss: 0.685153, acc: 0.587891] [A loss: 1.001131, acc: 0.058594] 636: [D loss: 0.652211, acc: 0.615234] [A loss: 0.816064, acc: 0.281250] 637: [D loss: 0.684584, acc: 0.562500] [A loss: 1.095816, acc: 0.023438] 638: [D loss: 0.653960, acc: 0.626953] [A loss: 0.754545, acc: 0.371094] 639: [D loss: 0.693861, acc: 0.535156] [A loss: 1.087227, acc: 0.027344] 640: [D loss: 0.654892, acc: 0.595703] [A loss: 0.766511, acc: 0.367188] 641: [D loss: 0.687461, acc: 0.539062] [A loss: 1.090862, acc: 0.027344] 642: [D loss: 0.681654, acc: 0.562500] [A loss: 0.701399, acc: 0.488281] 643: [D loss: 0.696065, acc: 0.548828] [A loss: 1.028367, acc: 0.035156] 644: [D loss: 0.644117, acc: 0.636719] [A loss: 0.838992, acc: 0.230469] 645: [D loss: 0.687574, acc: 0.544922] [A loss: 0.988779, acc: 0.066406] 646: [D loss: 0.677735, acc: 0.574219] [A loss: 0.852520, acc: 0.171875] 647: [D loss: 0.679714, acc: 0.572266] [A loss: 0.974547, acc: 0.058594] 648: [D loss: 0.657932, acc: 0.619141] [A loss: 0.905942, acc: 0.136719] 649: [D loss: 0.666643, acc: 0.583984] [A loss: 0.937474, acc: 0.097656] 650: [D loss: 0.654589, acc: 0.636719] [A loss: 0.838653, acc: 0.195312] 651: [D loss: 0.693224, acc: 0.568359] [A loss: 1.022922, acc: 0.054688] 652: [D loss: 0.668768, acc: 0.583984] [A loss: 0.801097, acc: 0.261719] 653: [D loss: 0.681617, acc: 0.558594] [A loss: 1.005229, acc: 0.035156] 654: [D loss: 0.644772, acc: 0.625000] [A loss: 0.903647, acc: 0.132812] 655: [D loss: 0.681736, acc: 0.550781] [A loss: 1.058168, acc: 0.027344] 656: [D loss: 0.661764, acc: 0.623047] [A loss: 0.809154, acc: 0.289062] 657: [D loss: 0.690757, acc: 0.560547] [A loss: 1.106183, acc: 0.035156] 658: [D loss: 0.668242, acc: 0.585938] [A loss: 0.769242, acc: 0.367188] 659: [D loss: 0.683699, acc: 0.562500] [A loss: 1.107412, acc: 0.035156] 660: [D loss: 0.642123, acc: 0.634766] [A loss: 0.796734, acc: 0.296875] 661: [D loss: 0.682682, acc: 0.582031] [A loss: 1.085874, acc: 0.062500] 662: [D loss: 0.670451, acc: 0.578125] [A loss: 0.773444, acc: 0.343750] 663: [D loss: 0.680547, acc: 0.544922] [A loss: 1.078849, acc: 0.046875] 664: [D loss: 0.671672, acc: 0.587891] [A loss: 0.863096, acc: 0.222656] 665: [D loss: 0.674532, acc: 0.609375] [A loss: 0.967890, acc: 0.089844] 666: [D loss: 0.656754, acc: 0.615234] [A loss: 0.853469, acc: 0.281250] 667: [D loss: 0.670026, acc: 0.599609] [A loss: 0.993526, acc: 0.066406] 668: [D loss: 0.650094, acc: 0.609375] [A loss: 0.911309, acc: 0.187500] 669: [D loss: 0.679365, acc: 0.574219] [A loss: 1.060490, acc: 0.039062] 670: [D loss: 0.671910, acc: 0.580078] [A loss: 0.830099, acc: 0.257812] 671: [D loss: 0.681026, acc: 0.566406] [A loss: 1.161644, acc: 0.019531] 672: [D loss: 0.660789, acc: 0.599609] [A loss: 0.760491, acc: 0.378906] 673: [D loss: 0.722346, acc: 0.533203] [A loss: 1.125584, acc: 0.035156] 674: [D loss: 0.672389, acc: 0.564453] [A loss: 0.783475, acc: 0.335938] 675: [D loss: 0.698134, acc: 0.542969] [A loss: 1.081353, acc: 0.050781] 676: [D loss: 0.656131, acc: 0.621094] [A loss: 0.800854, acc: 0.320312] 677: [D loss: 0.670254, acc: 0.564453] [A loss: 1.054662, acc: 0.054688] 678: [D loss: 0.658688, acc: 0.605469] [A loss: 0.787741, acc: 0.312500] 679: [D loss: 0.678802, acc: 0.566406] [A loss: 1.000541, acc: 0.062500] 680: [D loss: 0.654974, acc: 0.634766] [A loss: 0.883653, acc: 0.191406] 681: [D loss: 0.681579, acc: 0.560547] [A loss: 0.944315, acc: 0.148438] 682: [D loss: 0.666792, acc: 0.591797] [A loss: 0.886415, acc: 0.179688] 683: [D loss: 0.674632, acc: 0.572266] [A loss: 1.015075, acc: 0.105469] 684: [D loss: 0.660554, acc: 0.615234] [A loss: 0.845189, acc: 0.222656] 685: [D loss: 0.688891, acc: 0.541016] [A loss: 1.096296, acc: 0.042969] 686: [D loss: 0.663791, acc: 0.589844] [A loss: 0.777881, acc: 0.371094] 687: [D loss: 0.688785, acc: 0.560547] [A loss: 1.119670, acc: 0.031250] 688: [D loss: 0.661731, acc: 0.583984] [A loss: 0.721010, acc: 0.503906] 689: [D loss: 0.700579, acc: 0.541016] [A loss: 1.175382, acc: 0.031250] 690: [D loss: 0.662203, acc: 0.578125] [A loss: 0.727132, acc: 0.484375] 691: [D loss: 0.673805, acc: 0.544922] [A loss: 1.071912, acc: 0.042969] 692: [D loss: 0.668796, acc: 0.580078] [A loss: 0.843570, acc: 0.253906] 693: [D loss: 0.680026, acc: 0.566406] [A loss: 1.015247, acc: 0.097656] 694: [D loss: 0.663656, acc: 0.597656] [A loss: 0.822931, acc: 0.273438] 695: [D loss: 0.688558, acc: 0.544922] [A loss: 1.047221, acc: 0.027344] 696: [D loss: 0.673194, acc: 0.576172] [A loss: 0.768045, acc: 0.417969] 697: [D loss: 0.699445, acc: 0.535156] [A loss: 1.046867, acc: 0.062500] 698: [D loss: 0.653990, acc: 0.607422] [A loss: 0.783016, acc: 0.316406] 699: [D loss: 0.708003, acc: 0.527344] [A loss: 1.086413, acc: 0.039062] 700: [D loss: 0.660620, acc: 0.617188] [A loss: 0.821520, acc: 0.261719] 701: [D loss: 0.684775, acc: 0.572266] [A loss: 1.045013, acc: 0.050781] 702: [D loss: 0.665962, acc: 0.578125] [A loss: 0.900178, acc: 0.191406] 703: [D loss: 0.663541, acc: 0.576172] [A loss: 0.937254, acc: 0.152344] 704: [D loss: 0.659957, acc: 0.601562] [A loss: 0.940329, acc: 0.125000] 705: [D loss: 0.668923, acc: 0.585938] [A loss: 0.980967, acc: 0.113281] 706: [D loss: 0.683051, acc: 0.566406] [A loss: 0.919588, acc: 0.171875] 707: [D loss: 0.654523, acc: 0.613281] [A loss: 1.020243, acc: 0.097656] 708: [D loss: 0.654604, acc: 0.617188] [A loss: 0.833819, acc: 0.242188] 709: [D loss: 0.684308, acc: 0.562500] [A loss: 1.114743, acc: 0.031250] 710: [D loss: 0.671472, acc: 0.595703] [A loss: 0.738066, acc: 0.410156] 711: [D loss: 0.695298, acc: 0.544922] [A loss: 1.252967, acc: 0.027344] 712: [D loss: 0.662680, acc: 0.585938] [A loss: 0.700251, acc: 0.523438] 713: [D loss: 0.732299, acc: 0.515625] [A loss: 1.162066, acc: 0.015625] 714: [D loss: 0.691350, acc: 0.548828] [A loss: 0.764098, acc: 0.386719] 715: [D loss: 0.693790, acc: 0.537109] [A loss: 1.040466, acc: 0.054688] 716: [D loss: 0.666301, acc: 0.568359] [A loss: 0.815799, acc: 0.281250] 717: [D loss: 0.682687, acc: 0.537109] [A loss: 1.015902, acc: 0.097656] 718: [D loss: 0.672342, acc: 0.564453] [A loss: 0.775469, acc: 0.382812] 719: [D loss: 0.678204, acc: 0.548828] [A loss: 0.992918, acc: 0.070312] 720: [D loss: 0.668474, acc: 0.564453] [A loss: 0.879310, acc: 0.167969] 721: [D loss: 0.691995, acc: 0.519531] [A loss: 0.988730, acc: 0.082031] 722: [D loss: 0.674651, acc: 0.572266] [A loss: 0.901509, acc: 0.171875] 723: [D loss: 0.659001, acc: 0.609375] [A loss: 0.897619, acc: 0.160156] 724: [D loss: 0.676802, acc: 0.568359] [A loss: 0.909000, acc: 0.144531] 725: [D loss: 0.680003, acc: 0.574219] [A loss: 0.925619, acc: 0.156250] 726: [D loss: 0.692629, acc: 0.566406] [A loss: 1.034884, acc: 0.066406] 727: [D loss: 0.659439, acc: 0.597656] [A loss: 0.827094, acc: 0.281250] 728: [D loss: 0.683613, acc: 0.562500] [A loss: 1.068366, acc: 0.035156] 729: [D loss: 0.668714, acc: 0.587891] [A loss: 0.786921, acc: 0.308594] 730: [D loss: 0.682911, acc: 0.544922] [A loss: 1.083034, acc: 0.039062] 731: [D loss: 0.653753, acc: 0.619141] [A loss: 0.783125, acc: 0.343750] 732: [D loss: 0.679949, acc: 0.568359] [A loss: 1.126544, acc: 0.035156] 733: [D loss: 0.691898, acc: 0.546875] [A loss: 0.794736, acc: 0.343750] 734: [D loss: 0.696648, acc: 0.542969] [A loss: 1.180181, acc: 0.023438] 735: [D loss: 0.644692, acc: 0.630859] [A loss: 0.794354, acc: 0.324219] 736: [D loss: 0.720617, acc: 0.509766] [A loss: 1.119432, acc: 0.015625] 737: [D loss: 0.672594, acc: 0.591797] [A loss: 0.726356, acc: 0.445312] 738: [D loss: 0.695376, acc: 0.535156] [A loss: 1.073752, acc: 0.039062] 739: [D loss: 0.652063, acc: 0.621094] [A loss: 0.792790, acc: 0.312500] 740: [D loss: 0.691026, acc: 0.566406] [A loss: 1.005932, acc: 0.085938] 741: [D loss: 0.651545, acc: 0.640625] [A loss: 0.827235, acc: 0.269531] 742: [D loss: 0.687305, acc: 0.558594] [A loss: 0.955818, acc: 0.109375] 743: [D loss: 0.669375, acc: 0.601562] [A loss: 0.850522, acc: 0.230469] 744: [D loss: 0.684626, acc: 0.560547] [A loss: 0.991364, acc: 0.074219] 745: [D loss: 0.660070, acc: 0.591797] [A loss: 0.872902, acc: 0.222656] 746: [D loss: 0.661763, acc: 0.607422] [A loss: 1.012852, acc: 0.042969] 747: [D loss: 0.656780, acc: 0.617188] [A loss: 0.871806, acc: 0.175781] 748: [D loss: 0.670230, acc: 0.576172] [A loss: 1.010768, acc: 0.089844] 749: [D loss: 0.655144, acc: 0.621094] [A loss: 0.889075, acc: 0.187500] 750: [D loss: 0.667995, acc: 0.582031] [A loss: 1.044341, acc: 0.039062] 751: [D loss: 0.658700, acc: 0.597656] [A loss: 0.845658, acc: 0.292969] 752: [D loss: 0.670150, acc: 0.580078] [A loss: 1.085300, acc: 0.050781] 753: [D loss: 0.637299, acc: 0.630859] [A loss: 0.815859, acc: 0.304688] 754: [D loss: 0.693611, acc: 0.589844] [A loss: 1.137868, acc: 0.023438] 755: [D loss: 0.678399, acc: 0.568359] [A loss: 0.836161, acc: 0.261719] 756: [D loss: 0.692256, acc: 0.544922] [A loss: 1.092052, acc: 0.046875] 757: [D loss: 0.666010, acc: 0.582031] [A loss: 0.862691, acc: 0.218750] 758: [D loss: 0.660392, acc: 0.607422] [A loss: 1.096565, acc: 0.035156] 759: [D loss: 0.661146, acc: 0.617188] [A loss: 0.819134, acc: 0.269531] 760: [D loss: 0.674038, acc: 0.548828] [A loss: 1.067596, acc: 0.039062] 761: [D loss: 0.676505, acc: 0.587891] [A loss: 0.783015, acc: 0.367188] 762: [D loss: 0.700667, acc: 0.503906] [A loss: 1.173236, acc: 0.027344] 763: [D loss: 0.661017, acc: 0.619141] [A loss: 0.754389, acc: 0.382812] 764: [D loss: 0.741343, acc: 0.531250] [A loss: 1.081903, acc: 0.054688] 765: [D loss: 0.693083, acc: 0.548828] [A loss: 0.810294, acc: 0.312500] 766: [D loss: 0.669257, acc: 0.597656] [A loss: 0.971051, acc: 0.074219] 767: [D loss: 0.650222, acc: 0.623047] [A loss: 0.870031, acc: 0.203125] 768: [D loss: 0.681319, acc: 0.564453] [A loss: 1.047485, acc: 0.078125] 769: [D loss: 0.676648, acc: 0.576172] [A loss: 0.820512, acc: 0.265625] 770: [D loss: 0.673885, acc: 0.564453] [A loss: 1.085459, acc: 0.039062] 771: [D loss: 0.658759, acc: 0.638672] [A loss: 0.839168, acc: 0.250000] 772: [D loss: 0.693337, acc: 0.535156] [A loss: 1.066513, acc: 0.066406] 773: [D loss: 0.673300, acc: 0.574219] [A loss: 0.806921, acc: 0.300781] 774: [D loss: 0.683390, acc: 0.552734] [A loss: 1.025553, acc: 0.066406] 775: [D loss: 0.665069, acc: 0.595703] [A loss: 0.911333, acc: 0.167969] 776: [D loss: 0.683173, acc: 0.533203] [A loss: 0.959570, acc: 0.109375] 777: [D loss: 0.667902, acc: 0.589844] [A loss: 0.919573, acc: 0.152344] 778: [D loss: 0.672746, acc: 0.574219] [A loss: 0.969105, acc: 0.136719] 779: [D loss: 0.673232, acc: 0.546875] [A loss: 0.951871, acc: 0.125000] 780: [D loss: 0.669540, acc: 0.585938] [A loss: 0.873228, acc: 0.207031] 781: [D loss: 0.690285, acc: 0.548828] [A loss: 1.079841, acc: 0.058594] 782: [D loss: 0.683642, acc: 0.562500] [A loss: 0.812415, acc: 0.304688] 783: [D loss: 0.673312, acc: 0.587891] [A loss: 1.068528, acc: 0.042969] 784: [D loss: 0.655459, acc: 0.640625] [A loss: 0.806887, acc: 0.316406] 785: [D loss: 0.703020, acc: 0.554688] [A loss: 1.140279, acc: 0.050781] 786: [D loss: 0.654101, acc: 0.591797] [A loss: 0.808974, acc: 0.312500] 787: [D loss: 0.705934, acc: 0.556641] [A loss: 1.125059, acc: 0.035156] 788: [D loss: 0.677831, acc: 0.558594] [A loss: 0.748249, acc: 0.425781] 789: [D loss: 0.717306, acc: 0.548828] [A loss: 1.141869, acc: 0.023438] 790: [D loss: 0.671803, acc: 0.566406] [A loss: 0.740775, acc: 0.414062] 791: [D loss: 0.687936, acc: 0.556641] [A loss: 1.138478, acc: 0.027344] 792: [D loss: 0.668828, acc: 0.576172] [A loss: 0.769924, acc: 0.359375] 793: [D loss: 0.707525, acc: 0.550781] [A loss: 1.155153, acc: 0.031250] 794: [D loss: 0.651047, acc: 0.599609] [A loss: 0.694184, acc: 0.511719] 795: [D loss: 0.713372, acc: 0.521484] [A loss: 1.090333, acc: 0.082031] 796: [D loss: 0.663467, acc: 0.570312] [A loss: 0.858147, acc: 0.230469] 797: [D loss: 0.674690, acc: 0.566406] [A loss: 1.032567, acc: 0.070312] 798: [D loss: 0.666736, acc: 0.585938] [A loss: 0.815260, acc: 0.265625] 799: [D loss: 0.689364, acc: 0.560547] [A loss: 0.976246, acc: 0.109375] 800: [D loss: 0.673924, acc: 0.585938] [A loss: 0.815623, acc: 0.261719] 801: [D loss: 0.684427, acc: 0.570312] [A loss: 0.979405, acc: 0.089844] 802: [D loss: 0.665242, acc: 0.582031] [A loss: 0.850534, acc: 0.269531] 803: [D loss: 0.681707, acc: 0.562500] [A loss: 0.977494, acc: 0.113281] 804: [D loss: 0.660346, acc: 0.597656] [A loss: 0.842615, acc: 0.277344] 805: [D loss: 0.700795, acc: 0.542969] [A loss: 1.069298, acc: 0.042969] 806: [D loss: 0.668151, acc: 0.572266] [A loss: 0.841268, acc: 0.285156] 807: [D loss: 0.680217, acc: 0.583984] [A loss: 1.100713, acc: 0.042969] 808: [D loss: 0.664658, acc: 0.574219] [A loss: 0.788160, acc: 0.320312] 809: [D loss: 0.677202, acc: 0.580078] [A loss: 1.055841, acc: 0.054688] 810: [D loss: 0.670690, acc: 0.589844] [A loss: 0.796246, acc: 0.312500] 811: [D loss: 0.690938, acc: 0.552734] [A loss: 1.037231, acc: 0.070312] 812: [D loss: 0.663236, acc: 0.582031] [A loss: 0.815811, acc: 0.265625] 813: [D loss: 0.691700, acc: 0.556641] [A loss: 1.045702, acc: 0.062500] 814: [D loss: 0.655768, acc: 0.611328] [A loss: 0.826852, acc: 0.281250] 815: [D loss: 0.682538, acc: 0.560547] [A loss: 1.048542, acc: 0.054688] 816: [D loss: 0.650443, acc: 0.617188] [A loss: 0.870961, acc: 0.199219] 817: [D loss: 0.675941, acc: 0.587891] [A loss: 1.046053, acc: 0.078125] 818: [D loss: 0.674210, acc: 0.589844] [A loss: 0.908135, acc: 0.183594] 819: [D loss: 0.674434, acc: 0.582031] [A loss: 0.987941, acc: 0.093750] 820: [D loss: 0.680332, acc: 0.552734] [A loss: 0.963525, acc: 0.101562] 821: [D loss: 0.670584, acc: 0.601562] [A loss: 0.923061, acc: 0.160156] 822: [D loss: 0.683667, acc: 0.578125] [A loss: 0.968405, acc: 0.105469] 823: [D loss: 0.671369, acc: 0.578125] [A loss: 1.027626, acc: 0.074219] 824: [D loss: 0.667275, acc: 0.613281] [A loss: 0.829126, acc: 0.308594] 825: [D loss: 0.713283, acc: 0.541016] [A loss: 1.175632, acc: 0.019531] 826: [D loss: 0.678065, acc: 0.554688] [A loss: 0.738632, acc: 0.406250] 827: [D loss: 0.704905, acc: 0.539062] [A loss: 1.186970, acc: 0.019531] 828: [D loss: 0.675027, acc: 0.566406] [A loss: 0.707393, acc: 0.511719] 829: [D loss: 0.765296, acc: 0.509766] [A loss: 1.090359, acc: 0.050781] 830: [D loss: 0.668467, acc: 0.595703] [A loss: 0.709140, acc: 0.476562] 831: [D loss: 0.695254, acc: 0.560547] [A loss: 1.041877, acc: 0.058594] 832: [D loss: 0.680504, acc: 0.556641] [A loss: 0.793820, acc: 0.351562] 833: [D loss: 0.689184, acc: 0.562500] [A loss: 0.991749, acc: 0.050781] 834: [D loss: 0.679412, acc: 0.552734] [A loss: 0.800762, acc: 0.273438] 835: [D loss: 0.682283, acc: 0.568359] [A loss: 1.015588, acc: 0.058594] 836: [D loss: 0.661626, acc: 0.625000] [A loss: 0.830364, acc: 0.277344] 837: [D loss: 0.683349, acc: 0.550781] [A loss: 1.045575, acc: 0.074219] 838: [D loss: 0.662789, acc: 0.587891] [A loss: 0.812939, acc: 0.300781] 839: [D loss: 0.689329, acc: 0.550781] [A loss: 1.015069, acc: 0.089844] 840: [D loss: 0.655755, acc: 0.634766] [A loss: 0.876061, acc: 0.203125] 841: [D loss: 0.683397, acc: 0.566406] [A loss: 1.045348, acc: 0.070312] 842: [D loss: 0.658100, acc: 0.619141] [A loss: 0.822464, acc: 0.289062] 843: [D loss: 0.691450, acc: 0.556641] [A loss: 1.183085, acc: 0.027344] 844: [D loss: 0.665299, acc: 0.583984] [A loss: 0.791159, acc: 0.292969] 845: [D loss: 0.695804, acc: 0.546875] [A loss: 1.123585, acc: 0.019531] 846: [D loss: 0.666252, acc: 0.621094] [A loss: 0.784309, acc: 0.328125] 847: [D loss: 0.702393, acc: 0.542969] [A loss: 1.062225, acc: 0.062500] 848: [D loss: 0.655104, acc: 0.599609] [A loss: 0.828411, acc: 0.253906] 849: [D loss: 0.689618, acc: 0.560547] [A loss: 1.035392, acc: 0.078125] 850: [D loss: 0.664804, acc: 0.605469] [A loss: 0.843259, acc: 0.257812] 851: [D loss: 0.687512, acc: 0.544922] [A loss: 1.130523, acc: 0.031250] 852: [D loss: 0.657850, acc: 0.589844] [A loss: 0.760047, acc: 0.351562] 853: [D loss: 0.678981, acc: 0.564453] [A loss: 1.111687, acc: 0.027344] 854: [D loss: 0.662392, acc: 0.597656] [A loss: 0.802334, acc: 0.289062] 855: [D loss: 0.696572, acc: 0.531250] [A loss: 1.086861, acc: 0.039062] 856: [D loss: 0.669916, acc: 0.593750] [A loss: 0.795464, acc: 0.339844] 857: [D loss: 0.687218, acc: 0.574219] [A loss: 1.046262, acc: 0.062500] 858: [D loss: 0.682203, acc: 0.595703] [A loss: 0.795913, acc: 0.335938] 859: [D loss: 0.677847, acc: 0.556641] [A loss: 1.046990, acc: 0.058594] 860: [D loss: 0.672920, acc: 0.578125] [A loss: 0.778911, acc: 0.375000] 861: [D loss: 0.685049, acc: 0.566406] [A loss: 1.041391, acc: 0.062500] 862: [D loss: 0.667834, acc: 0.572266] [A loss: 0.777958, acc: 0.375000] 863: [D loss: 0.705238, acc: 0.542969] [A loss: 1.190732, acc: 0.019531] 864: [D loss: 0.668818, acc: 0.587891] [A loss: 0.732994, acc: 0.460938] 865: [D loss: 0.688375, acc: 0.541016] [A loss: 1.056157, acc: 0.062500] 866: [D loss: 0.675153, acc: 0.580078] [A loss: 0.860846, acc: 0.207031] 867: [D loss: 0.687915, acc: 0.582031] [A loss: 0.961692, acc: 0.125000] 868: [D loss: 0.660852, acc: 0.599609] [A loss: 0.922619, acc: 0.171875] 869: [D loss: 0.682080, acc: 0.574219] [A loss: 1.025698, acc: 0.078125] 870: [D loss: 0.681560, acc: 0.533203] [A loss: 0.862143, acc: 0.218750] 871: [D loss: 0.691818, acc: 0.556641] [A loss: 1.022208, acc: 0.078125] 872: [D loss: 0.664915, acc: 0.593750] [A loss: 0.818533, acc: 0.273438] 873: [D loss: 0.677755, acc: 0.578125] [A loss: 1.061192, acc: 0.066406] 874: [D loss: 0.674141, acc: 0.589844] [A loss: 0.737487, acc: 0.406250] 875: [D loss: 0.705739, acc: 0.525391] [A loss: 1.185315, acc: 0.042969] 876: [D loss: 0.665478, acc: 0.587891] [A loss: 0.765706, acc: 0.367188] 877: [D loss: 0.687150, acc: 0.531250] [A loss: 1.114084, acc: 0.031250] 878: [D loss: 0.682748, acc: 0.568359] [A loss: 0.792989, acc: 0.351562] 879: [D loss: 0.693189, acc: 0.531250] [A loss: 1.082045, acc: 0.027344] 880: [D loss: 0.664252, acc: 0.601562] [A loss: 0.783628, acc: 0.335938] 881: [D loss: 0.688538, acc: 0.535156] [A loss: 1.121849, acc: 0.042969] 882: [D loss: 0.659369, acc: 0.574219] [A loss: 0.807474, acc: 0.312500] 883: [D loss: 0.689965, acc: 0.568359] [A loss: 1.088002, acc: 0.062500] 884: [D loss: 0.674264, acc: 0.580078] [A loss: 0.763051, acc: 0.355469] 885: [D loss: 0.699661, acc: 0.550781] [A loss: 1.070104, acc: 0.031250] 886: [D loss: 0.660307, acc: 0.609375] [A loss: 0.815541, acc: 0.296875] 887: [D loss: 0.688811, acc: 0.556641] [A loss: 1.048627, acc: 0.046875] 888: [D loss: 0.673792, acc: 0.566406] [A loss: 0.763605, acc: 0.328125] 889: [D loss: 0.694008, acc: 0.533203] [A loss: 1.066342, acc: 0.066406] 890: [D loss: 0.668227, acc: 0.576172] [A loss: 0.801402, acc: 0.312500] 891: [D loss: 0.698331, acc: 0.519531] [A loss: 0.982500, acc: 0.093750] 892: [D loss: 0.665079, acc: 0.591797] [A loss: 0.881051, acc: 0.191406] 893: [D loss: 0.660882, acc: 0.597656] [A loss: 0.992463, acc: 0.105469] 894: [D loss: 0.672183, acc: 0.576172] [A loss: 0.868087, acc: 0.238281] 895: [D loss: 0.679759, acc: 0.566406] [A loss: 0.989716, acc: 0.105469] 896: [D loss: 0.659595, acc: 0.591797] [A loss: 0.877492, acc: 0.226562] 897: [D loss: 0.692983, acc: 0.580078] [A loss: 1.075840, acc: 0.039062] 898: [D loss: 0.680479, acc: 0.556641] [A loss: 0.687505, acc: 0.523438] 899: [D loss: 0.709820, acc: 0.527344] [A loss: 1.114834, acc: 0.042969] 900: [D loss: 0.657292, acc: 0.591797] [A loss: 0.773767, acc: 0.382812] 901: [D loss: 0.698707, acc: 0.544922] [A loss: 1.099679, acc: 0.035156] 902: [D loss: 0.675275, acc: 0.572266] [A loss: 0.783940, acc: 0.320312] 903: [D loss: 0.674043, acc: 0.576172] [A loss: 1.014416, acc: 0.101562] 904: [D loss: 0.661553, acc: 0.605469] [A loss: 0.897438, acc: 0.183594] 905: [D loss: 0.670983, acc: 0.595703] [A loss: 0.993702, acc: 0.093750] 906: [D loss: 0.667776, acc: 0.595703] [A loss: 0.865910, acc: 0.257812] 907: [D loss: 0.674009, acc: 0.568359] [A loss: 1.033805, acc: 0.054688] 908: [D loss: 0.670486, acc: 0.574219] [A loss: 0.810701, acc: 0.296875] 909: [D loss: 0.672935, acc: 0.587891] [A loss: 1.014425, acc: 0.101562] 910: [D loss: 0.667635, acc: 0.589844] [A loss: 0.793275, acc: 0.355469] 911: [D loss: 0.691930, acc: 0.578125] [A loss: 1.110781, acc: 0.035156] 912: [D loss: 0.664295, acc: 0.587891] [A loss: 0.728881, acc: 0.445312] 913: [D loss: 0.716958, acc: 0.535156] [A loss: 1.193077, acc: 0.019531] 914: [D loss: 0.668164, acc: 0.582031] [A loss: 0.712987, acc: 0.496094] 915: [D loss: 0.700269, acc: 0.554688] [A loss: 1.067614, acc: 0.070312] 916: [D loss: 0.679532, acc: 0.576172] [A loss: 0.771520, acc: 0.398438] 917: [D loss: 0.682988, acc: 0.546875] [A loss: 1.028448, acc: 0.093750] 918: [D loss: 0.664256, acc: 0.578125] [A loss: 0.754443, acc: 0.414062] 919: [D loss: 0.678110, acc: 0.548828] [A loss: 1.071948, acc: 0.066406] 920: [D loss: 0.655846, acc: 0.623047] [A loss: 0.789190, acc: 0.382812] 921: [D loss: 0.699559, acc: 0.542969] [A loss: 1.081781, acc: 0.066406] 922: [D loss: 0.664634, acc: 0.576172] [A loss: 0.800847, acc: 0.277344] 923: [D loss: 0.702084, acc: 0.531250] [A loss: 1.017213, acc: 0.074219] 924: [D loss: 0.674338, acc: 0.578125] [A loss: 0.873938, acc: 0.230469] 925: [D loss: 0.686754, acc: 0.550781] [A loss: 0.996638, acc: 0.085938] 926: [D loss: 0.671691, acc: 0.587891] [A loss: 0.882733, acc: 0.210938] 927: [D loss: 0.676031, acc: 0.558594] [A loss: 0.998124, acc: 0.109375] 928: [D loss: 0.656201, acc: 0.574219] [A loss: 0.950988, acc: 0.132812] 929: [D loss: 0.686063, acc: 0.541016] [A loss: 0.952987, acc: 0.148438] 930: [D loss: 0.679945, acc: 0.560547] [A loss: 0.913114, acc: 0.136719] 931: [D loss: 0.664825, acc: 0.589844] [A loss: 0.865267, acc: 0.203125] 932: [D loss: 0.687142, acc: 0.566406] [A loss: 1.048730, acc: 0.070312] 933: [D loss: 0.678301, acc: 0.578125] [A loss: 0.863053, acc: 0.222656] 934: [D loss: 0.672339, acc: 0.585938] [A loss: 1.114670, acc: 0.074219] 935: [D loss: 0.657156, acc: 0.636719] [A loss: 0.803263, acc: 0.304688] 936: [D loss: 0.670895, acc: 0.593750] [A loss: 1.137111, acc: 0.039062] 937: [D loss: 0.644795, acc: 0.599609] [A loss: 0.728325, acc: 0.492188] 938: [D loss: 0.738362, acc: 0.515625] [A loss: 1.251479, acc: 0.019531] 939: [D loss: 0.657758, acc: 0.619141] [A loss: 0.668017, acc: 0.578125] 940: [D loss: 0.721081, acc: 0.546875] [A loss: 1.218747, acc: 0.027344] 941: [D loss: 0.663004, acc: 0.601562] [A loss: 0.750201, acc: 0.417969] 942: [D loss: 0.702128, acc: 0.535156] [A loss: 0.987658, acc: 0.109375] 943: [D loss: 0.667087, acc: 0.582031] [A loss: 0.850147, acc: 0.285156] 944: [D loss: 0.678223, acc: 0.564453] [A loss: 0.972692, acc: 0.109375] 945: [D loss: 0.664231, acc: 0.605469] [A loss: 0.951789, acc: 0.144531] 946: [D loss: 0.674493, acc: 0.562500] [A loss: 0.951482, acc: 0.152344] 947: [D loss: 0.659173, acc: 0.591797] [A loss: 0.981568, acc: 0.082031] 948: [D loss: 0.664955, acc: 0.591797] [A loss: 1.002726, acc: 0.109375] 949: [D loss: 0.663738, acc: 0.591797] [A loss: 0.954209, acc: 0.156250] 950: [D loss: 0.670510, acc: 0.585938] [A loss: 0.906221, acc: 0.191406] 951: [D loss: 0.674062, acc: 0.576172] [A loss: 0.880381, acc: 0.222656] 952: [D loss: 0.679584, acc: 0.576172] [A loss: 1.103495, acc: 0.027344] 953: [D loss: 0.663317, acc: 0.597656] [A loss: 0.718089, acc: 0.500000] 954: [D loss: 0.690320, acc: 0.546875] [A loss: 1.165456, acc: 0.027344] 955: [D loss: 0.666924, acc: 0.582031] [A loss: 0.703779, acc: 0.542969] 956: [D loss: 0.722771, acc: 0.533203] [A loss: 1.213219, acc: 0.011719] 957: [D loss: 0.670817, acc: 0.611328] [A loss: 0.677470, acc: 0.542969] 958: [D loss: 0.718914, acc: 0.529297] [A loss: 1.112434, acc: 0.050781] 959: [D loss: 0.654208, acc: 0.619141] [A loss: 0.764640, acc: 0.386719] 960: [D loss: 0.699660, acc: 0.535156] [A loss: 0.986344, acc: 0.101562] 961: [D loss: 0.669369, acc: 0.568359] [A loss: 0.815210, acc: 0.281250] 962: [D loss: 0.697151, acc: 0.562500] [A loss: 0.990797, acc: 0.093750] 963: [D loss: 0.672709, acc: 0.576172] [A loss: 0.868755, acc: 0.207031] 964: [D loss: 0.668762, acc: 0.582031] [A loss: 0.916165, acc: 0.175781] 965: [D loss: 0.647922, acc: 0.642578] [A loss: 0.874692, acc: 0.187500] 966: [D loss: 0.681142, acc: 0.550781] [A loss: 0.887865, acc: 0.199219] 967: [D loss: 0.679087, acc: 0.570312] [A loss: 0.973136, acc: 0.117188] 968: [D loss: 0.669780, acc: 0.589844] [A loss: 0.906270, acc: 0.160156] 969: [D loss: 0.674641, acc: 0.585938] [A loss: 0.908940, acc: 0.183594] 970: [D loss: 0.671067, acc: 0.560547] [A loss: 0.953650, acc: 0.132812] 971: [D loss: 0.674541, acc: 0.566406] [A loss: 0.911876, acc: 0.140625] 972: [D loss: 0.680560, acc: 0.554688] [A loss: 0.904001, acc: 0.203125] 973: [D loss: 0.695624, acc: 0.521484] [A loss: 0.959818, acc: 0.101562] 974: [D loss: 0.697775, acc: 0.539062] [A loss: 0.916047, acc: 0.183594] 975: [D loss: 0.656748, acc: 0.613281] [A loss: 1.030498, acc: 0.082031] 976: [D loss: 0.663967, acc: 0.587891] [A loss: 0.765359, acc: 0.402344] 977: [D loss: 0.717350, acc: 0.501953] [A loss: 1.173844, acc: 0.019531] 978: [D loss: 0.665582, acc: 0.593750] [A loss: 0.745878, acc: 0.406250] 979: [D loss: 0.694317, acc: 0.566406] [A loss: 1.146402, acc: 0.050781] 980: [D loss: 0.667825, acc: 0.591797] [A loss: 0.805130, acc: 0.312500] 981: [D loss: 0.704374, acc: 0.564453] [A loss: 1.079056, acc: 0.074219] 982: [D loss: 0.694180, acc: 0.552734] [A loss: 0.856724, acc: 0.218750] 983: [D loss: 0.688388, acc: 0.560547] [A loss: 1.022659, acc: 0.105469] 984: [D loss: 0.682742, acc: 0.556641] [A loss: 0.847816, acc: 0.234375] 985: [D loss: 0.676820, acc: 0.566406] [A loss: 1.026435, acc: 0.097656] 986: [D loss: 0.669104, acc: 0.589844] [A loss: 0.799099, acc: 0.339844] 987: [D loss: 0.695235, acc: 0.542969] [A loss: 1.142122, acc: 0.042969] 988: [D loss: 0.672599, acc: 0.603516] [A loss: 0.725800, acc: 0.476562] 989: [D loss: 0.704336, acc: 0.517578] [A loss: 1.104997, acc: 0.039062] 990: [D loss: 0.668690, acc: 0.578125] [A loss: 0.761316, acc: 0.402344] 991: [D loss: 0.688125, acc: 0.552734] [A loss: 1.131938, acc: 0.062500] 992: [D loss: 0.661056, acc: 0.593750] [A loss: 0.822104, acc: 0.320312] 993: [D loss: 0.693133, acc: 0.562500] [A loss: 1.007650, acc: 0.089844] 994: [D loss: 0.669886, acc: 0.601562] [A loss: 0.846689, acc: 0.230469] 995: [D loss: 0.658839, acc: 0.597656] [A loss: 1.040410, acc: 0.078125] 996: [D loss: 0.666999, acc: 0.585938] [A loss: 0.828935, acc: 0.269531] 997: [D loss: 0.672608, acc: 0.576172] [A loss: 1.060954, acc: 0.082031] 998: [D loss: 0.670878, acc: 0.595703] [A loss: 0.759944, acc: 0.398438] 999: [D loss: 0.723187, acc: 0.498047] [A loss: 1.075794, acc: 0.042969] 1000: [D loss: 0.664343, acc: 0.599609] [A loss: 0.778185, acc: 0.359375] 1001: [D loss: 0.694330, acc: 0.542969] [A loss: 1.155566, acc: 0.023438] 1002: [D loss: 0.659312, acc: 0.585938] [A loss: 0.759367, acc: 0.371094] 1003: [D loss: 0.686896, acc: 0.568359] [A loss: 1.075898, acc: 0.085938] 1004: [D loss: 0.680450, acc: 0.558594] [A loss: 0.767693, acc: 0.382812] 1005: [D loss: 0.685084, acc: 0.548828] [A loss: 1.029351, acc: 0.078125] 1006: [D loss: 0.681111, acc: 0.572266] [A loss: 0.825246, acc: 0.257812] 1007: [D loss: 0.682651, acc: 0.568359] [A loss: 1.042644, acc: 0.070312] 1008: [D loss: 0.679731, acc: 0.574219] [A loss: 0.829563, acc: 0.308594] 1009: [D loss: 0.695815, acc: 0.552734] [A loss: 0.984330, acc: 0.101562] 1010: [D loss: 0.669227, acc: 0.583984] [A loss: 0.814946, acc: 0.277344] 1011: [D loss: 0.682316, acc: 0.582031] [A loss: 0.991557, acc: 0.074219] 1012: [D loss: 0.673258, acc: 0.582031] [A loss: 0.881209, acc: 0.167969] 1013: [D loss: 0.685425, acc: 0.544922] [A loss: 0.920504, acc: 0.132812] 1014: [D loss: 0.662452, acc: 0.589844] [A loss: 0.899588, acc: 0.179688] 1015: [D loss: 0.662182, acc: 0.601562] [A loss: 0.919263, acc: 0.164062] 1016: [D loss: 0.678857, acc: 0.570312] [A loss: 0.915714, acc: 0.195312] 1017: [D loss: 0.663190, acc: 0.595703] [A loss: 1.023083, acc: 0.082031] 1018: [D loss: 0.661037, acc: 0.599609] [A loss: 0.842817, acc: 0.257812] 1019: [D loss: 0.696727, acc: 0.562500] [A loss: 1.096563, acc: 0.050781] 1020: [D loss: 0.679684, acc: 0.556641] [A loss: 0.826033, acc: 0.292969] 1021: [D loss: 0.685978, acc: 0.535156] [A loss: 1.131501, acc: 0.050781] 1022: [D loss: 0.657731, acc: 0.605469] [A loss: 0.749301, acc: 0.421875] 1023: [D loss: 0.700950, acc: 0.544922] [A loss: 1.149865, acc: 0.042969] 1024: [D loss: 0.683158, acc: 0.556641] [A loss: 0.711475, acc: 0.519531] 1025: [D loss: 0.710268, acc: 0.539062] [A loss: 1.215505, acc: 0.023438] 1026: [D loss: 0.666435, acc: 0.595703] [A loss: 0.679390, acc: 0.554688] 1027: [D loss: 0.706604, acc: 0.541016] [A loss: 1.094138, acc: 0.042969] 1028: [D loss: 0.677818, acc: 0.556641] [A loss: 0.751541, acc: 0.425781] 1029: [D loss: 0.698376, acc: 0.548828] [A loss: 1.003617, acc: 0.085938] 1030: [D loss: 0.667473, acc: 0.595703] [A loss: 0.786251, acc: 0.351562] 1031: [D loss: 0.684237, acc: 0.560547] [A loss: 1.074092, acc: 0.050781] 1032: [D loss: 0.659104, acc: 0.587891] [A loss: 0.813625, acc: 0.281250] 1033: [D loss: 0.693049, acc: 0.566406] [A loss: 0.983732, acc: 0.125000] 1034: [D loss: 0.681324, acc: 0.574219] [A loss: 0.943617, acc: 0.125000] 1035: [D loss: 0.664320, acc: 0.574219] [A loss: 0.889775, acc: 0.187500] 1036: [D loss: 0.672483, acc: 0.582031] [A loss: 0.912081, acc: 0.152344] 1037: [D loss: 0.677790, acc: 0.582031] [A loss: 0.977524, acc: 0.152344] 1038: [D loss: 0.673756, acc: 0.552734] [A loss: 0.857870, acc: 0.253906] 1039: [D loss: 0.661424, acc: 0.603516] [A loss: 0.980585, acc: 0.109375] 1040: [D loss: 0.657221, acc: 0.617188] [A loss: 0.862324, acc: 0.218750] 1041: [D loss: 0.679359, acc: 0.550781] [A loss: 0.992805, acc: 0.105469] 1042: [D loss: 0.658156, acc: 0.599609] [A loss: 0.855332, acc: 0.218750] 1043: [D loss: 0.677101, acc: 0.587891] [A loss: 0.968533, acc: 0.117188] 1044: [D loss: 0.670289, acc: 0.576172] [A loss: 0.866382, acc: 0.250000] 1045: [D loss: 0.674478, acc: 0.582031] [A loss: 1.097914, acc: 0.058594] 1046: [D loss: 0.672397, acc: 0.554688] [A loss: 0.754429, acc: 0.429688] 1047: [D loss: 0.723150, acc: 0.533203] [A loss: 1.248461, acc: 0.035156] 1048: [D loss: 0.694977, acc: 0.535156] [A loss: 0.716471, acc: 0.492188] 1049: [D loss: 0.713797, acc: 0.513672] [A loss: 1.161931, acc: 0.042969] 1050: [D loss: 0.668680, acc: 0.607422] [A loss: 0.769748, acc: 0.386719] 1051: [D loss: 0.687327, acc: 0.539062] [A loss: 1.067476, acc: 0.097656] 1052: [D loss: 0.681237, acc: 0.570312] [A loss: 0.704792, acc: 0.507812] 1053: [D loss: 0.699609, acc: 0.570312] [A loss: 1.109278, acc: 0.058594] 1054: [D loss: 0.671769, acc: 0.593750] [A loss: 0.720405, acc: 0.492188] 1055: [D loss: 0.714694, acc: 0.539062] [A loss: 1.055101, acc: 0.066406] 1056: [D loss: 0.668421, acc: 0.585938] [A loss: 0.797368, acc: 0.332031] 1057: [D loss: 0.679131, acc: 0.576172] [A loss: 0.989003, acc: 0.117188] 1058: [D loss: 0.659425, acc: 0.601562] [A loss: 0.816086, acc: 0.300781] 1059: [D loss: 0.671941, acc: 0.583984] [A loss: 0.976347, acc: 0.121094] 1060: [D loss: 0.669958, acc: 0.593750] [A loss: 0.860596, acc: 0.234375] 1061: [D loss: 0.668314, acc: 0.591797] [A loss: 1.009641, acc: 0.082031] 1062: [D loss: 0.668314, acc: 0.560547] [A loss: 0.882949, acc: 0.222656] 1063: [D loss: 0.695740, acc: 0.535156] [A loss: 0.974788, acc: 0.113281] 1064: [D loss: 0.678053, acc: 0.576172] [A loss: 0.930418, acc: 0.128906] 1065: [D loss: 0.673912, acc: 0.562500] [A loss: 0.880498, acc: 0.167969] 1066: [D loss: 0.677052, acc: 0.582031] [A loss: 1.020937, acc: 0.082031] 1067: [D loss: 0.673609, acc: 0.576172] [A loss: 0.823970, acc: 0.304688] 1068: [D loss: 0.686825, acc: 0.568359] [A loss: 1.053914, acc: 0.074219] 1069: [D loss: 0.657868, acc: 0.615234] [A loss: 0.802133, acc: 0.316406] 1070: [D loss: 0.690961, acc: 0.562500] [A loss: 1.137898, acc: 0.027344] 1071: [D loss: 0.656934, acc: 0.607422] [A loss: 0.711671, acc: 0.507812] 1072: [D loss: 0.707725, acc: 0.529297] [A loss: 1.203492, acc: 0.027344] 1073: [D loss: 0.673312, acc: 0.570312] [A loss: 0.752910, acc: 0.402344] 1074: [D loss: 0.702988, acc: 0.521484] [A loss: 1.076388, acc: 0.078125] 1075: [D loss: 0.668420, acc: 0.582031] [A loss: 0.792697, acc: 0.347656] 1076: [D loss: 0.697432, acc: 0.535156] [A loss: 1.030905, acc: 0.066406] 1077: [D loss: 0.682096, acc: 0.554688] [A loss: 0.855209, acc: 0.250000] 1078: [D loss: 0.685606, acc: 0.574219] [A loss: 1.033541, acc: 0.097656] 1079: [D loss: 0.687530, acc: 0.535156] [A loss: 0.935471, acc: 0.136719] 1080: [D loss: 0.670379, acc: 0.615234] [A loss: 0.977515, acc: 0.113281] 1081: [D loss: 0.684576, acc: 0.542969] [A loss: 0.791739, acc: 0.355469] 1082: [D loss: 0.681320, acc: 0.587891] [A loss: 1.069828, acc: 0.058594] 1083: [D loss: 0.678215, acc: 0.582031] [A loss: 0.787823, acc: 0.328125] 1084: [D loss: 0.692577, acc: 0.541016] [A loss: 1.070807, acc: 0.066406] 1085: [D loss: 0.654149, acc: 0.617188] [A loss: 0.742336, acc: 0.441406] 1086: [D loss: 0.687765, acc: 0.560547] [A loss: 1.068849, acc: 0.050781] 1087: [D loss: 0.694181, acc: 0.542969] [A loss: 0.764548, acc: 0.363281] 1088: [D loss: 0.701972, acc: 0.519531] [A loss: 1.058335, acc: 0.050781] 1089: [D loss: 0.655440, acc: 0.603516] [A loss: 0.772212, acc: 0.351562] 1090: [D loss: 0.676286, acc: 0.585938] [A loss: 1.064571, acc: 0.078125] 1091: [D loss: 0.668103, acc: 0.578125] [A loss: 0.793123, acc: 0.378906] 1092: [D loss: 0.690927, acc: 0.558594] [A loss: 1.054595, acc: 0.062500] 1093: [D loss: 0.689593, acc: 0.546875] [A loss: 0.807704, acc: 0.324219] 1094: [D loss: 0.674063, acc: 0.568359] [A loss: 0.982419, acc: 0.117188] 1095: [D loss: 0.644185, acc: 0.628906] [A loss: 0.809743, acc: 0.324219] 1096: [D loss: 0.692728, acc: 0.552734] [A loss: 1.050582, acc: 0.066406] 1097: [D loss: 0.674117, acc: 0.576172] [A loss: 0.868132, acc: 0.210938] 1098: [D loss: 0.671714, acc: 0.585938] [A loss: 0.967365, acc: 0.121094] 1099: [D loss: 0.677601, acc: 0.562500] [A loss: 0.859287, acc: 0.261719] 1100: [D loss: 0.689485, acc: 0.525391] [A loss: 0.954797, acc: 0.125000] 1101: [D loss: 0.664186, acc: 0.585938] [A loss: 0.858550, acc: 0.246094] 1102: [D loss: 0.678730, acc: 0.570312] [A loss: 1.010910, acc: 0.105469] 1103: [D loss: 0.655591, acc: 0.611328] [A loss: 0.825278, acc: 0.296875] 1104: [D loss: 0.704655, acc: 0.535156] [A loss: 1.172620, acc: 0.035156] 1105: [D loss: 0.679131, acc: 0.578125] [A loss: 0.692903, acc: 0.535156] 1106: [D loss: 0.720227, acc: 0.535156] [A loss: 1.167815, acc: 0.019531] 1107: [D loss: 0.668555, acc: 0.597656] [A loss: 0.694569, acc: 0.523438] 1108: [D loss: 0.713999, acc: 0.548828] [A loss: 1.101264, acc: 0.039062] 1109: [D loss: 0.679502, acc: 0.568359] [A loss: 0.785553, acc: 0.378906] 1110: [D loss: 0.670510, acc: 0.556641] [A loss: 0.966149, acc: 0.128906] 1111: [D loss: 0.666135, acc: 0.580078] [A loss: 0.831604, acc: 0.292969] 1112: [D loss: 0.707583, acc: 0.533203] [A loss: 1.074787, acc: 0.089844] 1113: [D loss: 0.675106, acc: 0.580078] [A loss: 0.748254, acc: 0.425781] 1114: [D loss: 0.710155, acc: 0.544922] [A loss: 0.984314, acc: 0.113281] 1115: [D loss: 0.662846, acc: 0.601562] [A loss: 0.883749, acc: 0.199219] 1116: [D loss: 0.673173, acc: 0.591797] [A loss: 0.940855, acc: 0.140625] 1117: [D loss: 0.681249, acc: 0.583984] [A loss: 0.851771, acc: 0.238281] 1118: [D loss: 0.688022, acc: 0.566406] [A loss: 0.999532, acc: 0.082031] 1119: [D loss: 0.675473, acc: 0.578125] [A loss: 0.801446, acc: 0.320312] 1120: [D loss: 0.677617, acc: 0.576172] [A loss: 1.049581, acc: 0.070312] 1121: [D loss: 0.669546, acc: 0.601562] [A loss: 0.800850, acc: 0.332031] 1122: [D loss: 0.708587, acc: 0.542969] [A loss: 1.113177, acc: 0.050781] 1123: [D loss: 0.678853, acc: 0.564453] [A loss: 0.725641, acc: 0.433594] 1124: [D loss: 0.686891, acc: 0.548828] [A loss: 1.093893, acc: 0.046875] 1125: [D loss: 0.664491, acc: 0.605469] [A loss: 0.748550, acc: 0.394531] 1126: [D loss: 0.699012, acc: 0.546875] [A loss: 0.938594, acc: 0.136719] 1127: [D loss: 0.682799, acc: 0.556641] [A loss: 0.861800, acc: 0.218750] 1128: [D loss: 0.691056, acc: 0.564453] [A loss: 0.880018, acc: 0.210938] 1129: [D loss: 0.681324, acc: 0.564453] [A loss: 0.908202, acc: 0.179688] 1130: [D loss: 0.664478, acc: 0.613281] [A loss: 0.878422, acc: 0.191406] 1131: [D loss: 0.686347, acc: 0.593750] [A loss: 1.051861, acc: 0.066406] 1132: [D loss: 0.688477, acc: 0.550781] [A loss: 0.820819, acc: 0.289062] 1133: [D loss: 0.678955, acc: 0.546875] [A loss: 0.972452, acc: 0.121094] 1134: [D loss: 0.684389, acc: 0.566406] [A loss: 0.798158, acc: 0.304688] 1135: [D loss: 0.694523, acc: 0.554688] [A loss: 1.102174, acc: 0.062500] 1136: [D loss: 0.674084, acc: 0.589844] [A loss: 0.753607, acc: 0.421875] 1137: [D loss: 0.702319, acc: 0.535156] [A loss: 1.098904, acc: 0.027344] 1138: [D loss: 0.689509, acc: 0.550781] [A loss: 0.731377, acc: 0.457031] 1139: [D loss: 0.687572, acc: 0.564453] [A loss: 1.074490, acc: 0.085938] 1140: [D loss: 0.665686, acc: 0.595703] [A loss: 0.754730, acc: 0.421875] 1141: [D loss: 0.702312, acc: 0.556641] [A loss: 0.976265, acc: 0.101562] 1142: [D loss: 0.679617, acc: 0.582031] [A loss: 0.874651, acc: 0.207031] 1143: [D loss: 0.664172, acc: 0.601562] [A loss: 0.974794, acc: 0.082031] 1144: [D loss: 0.663938, acc: 0.609375] [A loss: 0.889432, acc: 0.175781] 1145: [D loss: 0.687520, acc: 0.568359] [A loss: 1.007914, acc: 0.101562] 1146: [D loss: 0.670821, acc: 0.541016] [A loss: 0.839859, acc: 0.246094] 1147: [D loss: 0.678575, acc: 0.556641] [A loss: 0.969382, acc: 0.113281] 1148: [D loss: 0.679838, acc: 0.556641] [A loss: 0.891792, acc: 0.167969] 1149: [D loss: 0.666187, acc: 0.593750] [A loss: 0.935399, acc: 0.132812] 1150: [D loss: 0.670142, acc: 0.574219] [A loss: 0.875736, acc: 0.246094] 1151: [D loss: 0.670970, acc: 0.583984] [A loss: 1.004934, acc: 0.097656] 1152: [D loss: 0.648339, acc: 0.621094] [A loss: 0.793988, acc: 0.351562] 1153: [D loss: 0.697848, acc: 0.541016] [A loss: 1.137130, acc: 0.035156] 1154: [D loss: 0.685902, acc: 0.558594] [A loss: 0.800569, acc: 0.355469] 1155: [D loss: 0.693855, acc: 0.546875] [A loss: 1.054406, acc: 0.066406] 1156: [D loss: 0.669876, acc: 0.593750] [A loss: 0.757825, acc: 0.386719] 1157: [D loss: 0.690201, acc: 0.564453] [A loss: 1.077807, acc: 0.066406] 1158: [D loss: 0.681157, acc: 0.558594] [A loss: 0.741810, acc: 0.437500] 1159: [D loss: 0.693673, acc: 0.541016] [A loss: 1.139006, acc: 0.062500] 1160: [D loss: 0.668593, acc: 0.587891] [A loss: 0.722379, acc: 0.484375] 1161: [D loss: 0.721458, acc: 0.533203] [A loss: 1.021463, acc: 0.089844] 1162: [D loss: 0.683808, acc: 0.564453] [A loss: 0.762200, acc: 0.382812] 1163: [D loss: 0.692726, acc: 0.556641] [A loss: 1.003924, acc: 0.105469] 1164: [D loss: 0.685322, acc: 0.535156] [A loss: 0.902751, acc: 0.203125] 1165: [D loss: 0.672386, acc: 0.580078] [A loss: 0.956345, acc: 0.125000] 1166: [D loss: 0.668525, acc: 0.566406] [A loss: 0.832976, acc: 0.265625] 1167: [D loss: 0.687823, acc: 0.574219] [A loss: 0.998176, acc: 0.082031] 1168: [D loss: 0.681212, acc: 0.544922] [A loss: 0.878320, acc: 0.191406] 1169: [D loss: 0.673481, acc: 0.562500] [A loss: 1.021555, acc: 0.054688] 1170: [D loss: 0.678283, acc: 0.552734] [A loss: 0.812448, acc: 0.285156] 1171: [D loss: 0.705197, acc: 0.542969] [A loss: 1.069627, acc: 0.062500] 1172: [D loss: 0.689892, acc: 0.533203] [A loss: 0.779982, acc: 0.332031] 1173: [D loss: 0.685157, acc: 0.558594] [A loss: 1.132574, acc: 0.042969] 1174: [D loss: 0.676392, acc: 0.572266] [A loss: 0.728981, acc: 0.480469] 1175: [D loss: 0.700857, acc: 0.533203] [A loss: 1.089731, acc: 0.066406] 1176: [D loss: 0.688948, acc: 0.558594] [A loss: 0.760915, acc: 0.421875] 1177: [D loss: 0.697495, acc: 0.519531] [A loss: 0.975577, acc: 0.121094] 1178: [D loss: 0.680857, acc: 0.566406] [A loss: 0.807831, acc: 0.285156] 1179: [D loss: 0.679996, acc: 0.552734] [A loss: 0.968657, acc: 0.117188] 1180: [D loss: 0.679521, acc: 0.572266] [A loss: 0.769652, acc: 0.363281] 1181: [D loss: 0.686611, acc: 0.578125] [A loss: 1.023588, acc: 0.066406] 1182: [D loss: 0.691300, acc: 0.527344] [A loss: 0.793187, acc: 0.304688] 1183: [D loss: 0.691734, acc: 0.548828] [A loss: 1.025709, acc: 0.070312] 1184: [D loss: 0.677671, acc: 0.568359] [A loss: 0.867236, acc: 0.199219] 1185: [D loss: 0.669736, acc: 0.574219] [A loss: 0.923518, acc: 0.132812] 1186: [D loss: 0.661446, acc: 0.589844] [A loss: 0.856552, acc: 0.261719] 1187: [D loss: 0.673247, acc: 0.574219] [A loss: 0.941915, acc: 0.109375] 1188: [D loss: 0.675480, acc: 0.576172] [A loss: 0.795041, acc: 0.335938] 1189: [D loss: 0.699959, acc: 0.539062] [A loss: 1.064068, acc: 0.074219] 1190: [D loss: 0.690997, acc: 0.535156] [A loss: 0.822133, acc: 0.316406] 1191: [D loss: 0.687071, acc: 0.529297] [A loss: 1.006980, acc: 0.093750] 1192: [D loss: 0.658886, acc: 0.601562] [A loss: 0.769474, acc: 0.359375] 1193: [D loss: 0.683186, acc: 0.564453] [A loss: 0.987221, acc: 0.078125] 1194: [D loss: 0.667813, acc: 0.585938] [A loss: 0.839284, acc: 0.281250] 1195: [D loss: 0.692423, acc: 0.566406] [A loss: 1.034640, acc: 0.066406] 1196: [D loss: 0.678466, acc: 0.570312] [A loss: 0.847255, acc: 0.257812] 1197: [D loss: 0.700525, acc: 0.552734] [A loss: 0.999068, acc: 0.093750] 1198: [D loss: 0.660230, acc: 0.585938] [A loss: 0.779649, acc: 0.332031] 1199: [D loss: 0.697691, acc: 0.544922] [A loss: 1.090224, acc: 0.062500] 1200: [D loss: 0.682795, acc: 0.570312] [A loss: 0.762633, acc: 0.441406] 1201: [D loss: 0.700519, acc: 0.566406] [A loss: 1.074406, acc: 0.042969] 1202: [D loss: 0.672249, acc: 0.583984] [A loss: 0.747937, acc: 0.429688] 1203: [D loss: 0.711582, acc: 0.531250] [A loss: 1.078050, acc: 0.039062] 1204: [D loss: 0.680208, acc: 0.554688] [A loss: 0.731094, acc: 0.464844] 1205: [D loss: 0.710771, acc: 0.550781] [A loss: 1.027984, acc: 0.058594] 1206: [D loss: 0.668225, acc: 0.599609] [A loss: 0.806488, acc: 0.296875] 1207: [D loss: 0.668125, acc: 0.591797] [A loss: 0.946535, acc: 0.125000] 1208: [D loss: 0.671552, acc: 0.617188] [A loss: 0.817875, acc: 0.265625] 1209: [D loss: 0.679121, acc: 0.562500] [A loss: 0.963932, acc: 0.085938] 1210: [D loss: 0.672755, acc: 0.587891] [A loss: 0.835842, acc: 0.261719] 1211: [D loss: 0.687604, acc: 0.566406] [A loss: 1.003599, acc: 0.070312] 1212: [D loss: 0.670983, acc: 0.599609] [A loss: 0.804747, acc: 0.324219] 1213: [D loss: 0.680199, acc: 0.572266] [A loss: 1.062669, acc: 0.074219] 1214: [D loss: 0.664843, acc: 0.583984] [A loss: 0.791283, acc: 0.359375] 1215: [D loss: 0.683464, acc: 0.585938] [A loss: 0.994997, acc: 0.089844] 1216: [D loss: 0.681366, acc: 0.562500] [A loss: 0.764380, acc: 0.367188] 1217: [D loss: 0.717990, acc: 0.503906] [A loss: 0.988601, acc: 0.113281] 1218: [D loss: 0.686131, acc: 0.570312] [A loss: 0.766306, acc: 0.371094] 1219: [D loss: 0.697131, acc: 0.548828] [A loss: 0.943277, acc: 0.175781] 1220: [D loss: 0.694839, acc: 0.542969] [A loss: 0.846253, acc: 0.230469] 1221: [D loss: 0.675840, acc: 0.578125] [A loss: 1.009553, acc: 0.070312] 1222: [D loss: 0.672975, acc: 0.570312] [A loss: 0.796241, acc: 0.355469] 1223: [D loss: 0.696016, acc: 0.523438] [A loss: 0.993134, acc: 0.078125] 1224: [D loss: 0.682772, acc: 0.548828] [A loss: 0.785484, acc: 0.417969] 1225: [D loss: 0.694011, acc: 0.554688] [A loss: 1.035226, acc: 0.058594] 1226: [D loss: 0.681088, acc: 0.566406] [A loss: 0.712629, acc: 0.492188] 1227: [D loss: 0.695149, acc: 0.537109] [A loss: 1.092272, acc: 0.027344] 1228: [D loss: 0.661140, acc: 0.609375] [A loss: 0.736614, acc: 0.460938] 1229: [D loss: 0.693316, acc: 0.564453] [A loss: 0.970868, acc: 0.101562] 1230: [D loss: 0.682724, acc: 0.576172] [A loss: 0.790575, acc: 0.343750] 1231: [D loss: 0.708631, acc: 0.542969] [A loss: 1.042557, acc: 0.089844] 1232: [D loss: 0.678593, acc: 0.560547] [A loss: 0.833284, acc: 0.257812] 1233: [D loss: 0.697230, acc: 0.550781] [A loss: 0.908748, acc: 0.175781] 1234: [D loss: 0.691054, acc: 0.554688] [A loss: 0.843297, acc: 0.289062] 1235: [D loss: 0.706869, acc: 0.525391] [A loss: 0.960772, acc: 0.105469] 1236: [D loss: 0.677613, acc: 0.539062] [A loss: 0.811699, acc: 0.343750] 1237: [D loss: 0.680014, acc: 0.599609] [A loss: 0.991405, acc: 0.093750] 1238: [D loss: 0.682716, acc: 0.560547] [A loss: 0.767665, acc: 0.425781] 1239: [D loss: 0.695372, acc: 0.544922] [A loss: 0.978005, acc: 0.089844] 1240: [D loss: 0.673574, acc: 0.583984] [A loss: 0.804306, acc: 0.273438] 1241: [D loss: 0.691679, acc: 0.566406] [A loss: 0.935458, acc: 0.167969] 1242: [D loss: 0.698177, acc: 0.539062] [A loss: 0.832416, acc: 0.246094] 1243: [D loss: 0.687765, acc: 0.535156] [A loss: 0.905411, acc: 0.144531] 1244: [D loss: 0.665376, acc: 0.566406] [A loss: 0.927379, acc: 0.179688] 1245: [D loss: 0.682604, acc: 0.562500] [A loss: 0.892085, acc: 0.183594] 1246: [D loss: 0.684189, acc: 0.572266] [A loss: 0.935955, acc: 0.140625] 1247: [D loss: 0.666874, acc: 0.621094] [A loss: 0.794044, acc: 0.324219] 1248: [D loss: 0.690902, acc: 0.566406] [A loss: 1.040604, acc: 0.070312] 1249: [D loss: 0.674683, acc: 0.576172] [A loss: 0.784982, acc: 0.324219] 1250: [D loss: 0.714314, acc: 0.541016] [A loss: 1.055961, acc: 0.093750] 1251: [D loss: 0.670822, acc: 0.593750] [A loss: 0.696289, acc: 0.519531] 1252: [D loss: 0.703375, acc: 0.531250] [A loss: 1.140794, acc: 0.015625] 1253: [D loss: 0.690269, acc: 0.546875] [A loss: 0.744625, acc: 0.390625] 1254: [D loss: 0.725039, acc: 0.517578] [A loss: 0.983364, acc: 0.085938] 1255: [D loss: 0.682764, acc: 0.546875] [A loss: 0.749075, acc: 0.417969] 1256: [D loss: 0.694879, acc: 0.541016] [A loss: 1.012014, acc: 0.070312] 1257: [D loss: 0.663349, acc: 0.607422] [A loss: 0.786915, acc: 0.312500] 1258: [D loss: 0.685204, acc: 0.541016] [A loss: 0.979874, acc: 0.093750] 1259: [D loss: 0.670883, acc: 0.570312] [A loss: 0.785612, acc: 0.378906] 1260: [D loss: 0.696218, acc: 0.542969] [A loss: 0.995955, acc: 0.085938] 1261: [D loss: 0.674311, acc: 0.589844] [A loss: 0.770890, acc: 0.363281] 1262: [D loss: 0.697971, acc: 0.568359] [A loss: 1.069458, acc: 0.062500] 1263: [D loss: 0.681669, acc: 0.568359] [A loss: 0.766846, acc: 0.343750] 1264: [D loss: 0.702434, acc: 0.527344] [A loss: 1.043641, acc: 0.066406] 1265: [D loss: 0.672906, acc: 0.562500] [A loss: 0.722827, acc: 0.472656] 1266: [D loss: 0.695859, acc: 0.556641] [A loss: 1.045323, acc: 0.042969] 1267: [D loss: 0.676713, acc: 0.570312] [A loss: 0.842250, acc: 0.246094] 1268: [D loss: 0.667608, acc: 0.552734] [A loss: 0.874312, acc: 0.210938] 1269: [D loss: 0.668609, acc: 0.591797] [A loss: 0.917837, acc: 0.171875] 1270: [D loss: 0.689932, acc: 0.556641] [A loss: 0.907749, acc: 0.191406] 1271: [D loss: 0.653162, acc: 0.640625] [A loss: 0.914211, acc: 0.152344] 1272: [D loss: 0.703682, acc: 0.550781] [A loss: 0.964756, acc: 0.156250] 1273: [D loss: 0.689209, acc: 0.544922] [A loss: 0.826109, acc: 0.292969] 1274: [D loss: 0.706495, acc: 0.533203] [A loss: 0.993380, acc: 0.121094] 1275: [D loss: 0.699776, acc: 0.527344] [A loss: 0.818041, acc: 0.269531] 1276: [D loss: 0.678266, acc: 0.544922] [A loss: 0.964214, acc: 0.128906] 1277: [D loss: 0.674427, acc: 0.583984] [A loss: 0.747857, acc: 0.410156] 1278: [D loss: 0.695128, acc: 0.568359] [A loss: 1.058483, acc: 0.054688] 1279: [D loss: 0.676279, acc: 0.570312] [A loss: 0.743231, acc: 0.453125] 1280: [D loss: 0.686609, acc: 0.564453] [A loss: 1.124447, acc: 0.019531] 1281: [D loss: 0.688007, acc: 0.525391] [A loss: 0.683047, acc: 0.511719] 1282: [D loss: 0.723500, acc: 0.523438] [A loss: 1.101028, acc: 0.046875] 1283: [D loss: 0.678937, acc: 0.572266] [A loss: 0.685913, acc: 0.539062] 1284: [D loss: 0.710944, acc: 0.523438] [A loss: 1.074427, acc: 0.050781] 1285: [D loss: 0.692806, acc: 0.537109] [A loss: 0.712499, acc: 0.539062] 1286: [D loss: 0.720790, acc: 0.503906] [A loss: 0.996121, acc: 0.082031] 1287: [D loss: 0.682106, acc: 0.580078] [A loss: 0.812099, acc: 0.265625] 1288: [D loss: 0.671228, acc: 0.585938] [A loss: 0.925176, acc: 0.148438] 1289: [D loss: 0.680491, acc: 0.574219] [A loss: 0.856788, acc: 0.242188] 1290: [D loss: 0.692577, acc: 0.533203] [A loss: 0.846212, acc: 0.234375] 1291: [D loss: 0.682425, acc: 0.585938] [A loss: 0.895814, acc: 0.144531] 1292: [D loss: 0.676257, acc: 0.572266] [A loss: 0.805140, acc: 0.285156] 1293: [D loss: 0.677067, acc: 0.566406] [A loss: 0.946624, acc: 0.109375] 1294: [D loss: 0.668767, acc: 0.578125] [A loss: 0.817322, acc: 0.269531] 1295: [D loss: 0.668540, acc: 0.578125] [A loss: 0.900173, acc: 0.187500] 1296: [D loss: 0.681981, acc: 0.562500] [A loss: 0.832640, acc: 0.285156] 1297: [D loss: 0.697763, acc: 0.535156] [A loss: 0.936054, acc: 0.144531] 1298: [D loss: 0.681487, acc: 0.564453] [A loss: 0.957622, acc: 0.101562] 1299: [D loss: 0.666841, acc: 0.597656] [A loss: 0.890069, acc: 0.187500] 1300: [D loss: 0.703200, acc: 0.515625] [A loss: 0.937839, acc: 0.167969] 1301: [D loss: 0.683263, acc: 0.574219] [A loss: 0.829101, acc: 0.273438] 1302: [D loss: 0.682828, acc: 0.560547] [A loss: 0.990700, acc: 0.089844] 1303: [D loss: 0.683504, acc: 0.548828] [A loss: 0.889465, acc: 0.226562] 1304: [D loss: 0.678063, acc: 0.572266] [A loss: 0.888779, acc: 0.214844] 1305: [D loss: 0.682522, acc: 0.562500] [A loss: 0.970683, acc: 0.128906] 1306: [D loss: 0.674623, acc: 0.609375] [A loss: 0.835340, acc: 0.234375] 1307: [D loss: 0.691162, acc: 0.539062] [A loss: 1.063876, acc: 0.070312] 1308: [D loss: 0.688136, acc: 0.541016] [A loss: 0.725761, acc: 0.433594] 1309: [D loss: 0.699576, acc: 0.521484] [A loss: 1.136902, acc: 0.035156] 1310: [D loss: 0.664623, acc: 0.587891] [A loss: 0.695555, acc: 0.531250] 1311: [D loss: 0.711589, acc: 0.523438] [A loss: 1.034390, acc: 0.050781] 1312: [D loss: 0.675157, acc: 0.582031] [A loss: 0.721741, acc: 0.468750] 1313: [D loss: 0.698448, acc: 0.537109] [A loss: 0.992101, acc: 0.078125] 1314: [D loss: 0.674423, acc: 0.572266] [A loss: 0.754850, acc: 0.375000] 1315: [D loss: 0.671654, acc: 0.574219] [A loss: 0.928528, acc: 0.117188] 1316: [D loss: 0.684792, acc: 0.544922] [A loss: 0.853514, acc: 0.218750] 1317: [D loss: 0.680803, acc: 0.570312] [A loss: 0.975527, acc: 0.093750] 1318: [D loss: 0.677463, acc: 0.576172] [A loss: 0.757832, acc: 0.445312] 1319: [D loss: 0.719250, acc: 0.509766] [A loss: 1.093833, acc: 0.027344] 1320: [D loss: 0.691470, acc: 0.539062] [A loss: 0.794885, acc: 0.328125] 1321: [D loss: 0.711380, acc: 0.525391] [A loss: 1.063566, acc: 0.046875] 1322: [D loss: 0.698627, acc: 0.507812] [A loss: 0.785142, acc: 0.343750] 1323: [D loss: 0.684182, acc: 0.562500] [A loss: 0.951053, acc: 0.113281] 1324: [D loss: 0.702938, acc: 0.537109] [A loss: 0.922725, acc: 0.136719] 1325: [D loss: 0.684783, acc: 0.560547] [A loss: 0.943211, acc: 0.148438] 1326: [D loss: 0.678629, acc: 0.580078] [A loss: 0.805230, acc: 0.265625] 1327: [D loss: 0.694242, acc: 0.542969] [A loss: 0.927721, acc: 0.117188] 1328: [D loss: 0.678336, acc: 0.582031] [A loss: 0.828537, acc: 0.273438] 1329: [D loss: 0.692611, acc: 0.542969] [A loss: 0.908791, acc: 0.148438] 1330: [D loss: 0.683617, acc: 0.578125] [A loss: 0.856764, acc: 0.191406] 1331: [D loss: 0.684230, acc: 0.550781] [A loss: 0.966472, acc: 0.093750] 1332: [D loss: 0.687753, acc: 0.546875] [A loss: 0.733320, acc: 0.453125] 1333: [D loss: 0.682833, acc: 0.568359] [A loss: 0.961199, acc: 0.113281] 1334: [D loss: 0.681953, acc: 0.558594] [A loss: 0.778479, acc: 0.355469] 1335: [D loss: 0.701074, acc: 0.539062] [A loss: 1.042331, acc: 0.074219] 1336: [D loss: 0.672885, acc: 0.607422] [A loss: 0.737486, acc: 0.429688] 1337: [D loss: 0.714802, acc: 0.550781] [A loss: 1.033181, acc: 0.062500] 1338: [D loss: 0.673699, acc: 0.589844] [A loss: 0.729301, acc: 0.457031] 1339: [D loss: 0.706899, acc: 0.523438] [A loss: 0.975834, acc: 0.117188] 1340: [D loss: 0.691687, acc: 0.531250] [A loss: 0.773956, acc: 0.355469] 1341: [D loss: 0.687782, acc: 0.529297] [A loss: 0.981887, acc: 0.097656] 1342: [D loss: 0.699683, acc: 0.519531] [A loss: 0.804460, acc: 0.281250] 1343: [D loss: 0.687411, acc: 0.554688] [A loss: 0.904549, acc: 0.179688] 1344: [D loss: 0.685645, acc: 0.558594] [A loss: 0.913729, acc: 0.144531] 1345: [D loss: 0.672359, acc: 0.558594] [A loss: 0.856033, acc: 0.238281] 1346: [D loss: 0.684242, acc: 0.560547] [A loss: 0.963856, acc: 0.140625] 1347: [D loss: 0.671361, acc: 0.568359] [A loss: 0.827154, acc: 0.281250] 1348: [D loss: 0.690344, acc: 0.550781] [A loss: 0.945542, acc: 0.128906] 1349: [D loss: 0.689368, acc: 0.568359] [A loss: 0.814716, acc: 0.308594] 1350: [D loss: 0.707195, acc: 0.517578] [A loss: 0.959293, acc: 0.089844] 1351: [D loss: 0.681605, acc: 0.572266] [A loss: 0.790807, acc: 0.316406] 1352: [D loss: 0.709157, acc: 0.521484] [A loss: 1.032834, acc: 0.074219] 1353: [D loss: 0.672807, acc: 0.556641] [A loss: 0.773586, acc: 0.355469] 1354: [D loss: 0.734041, acc: 0.513672] [A loss: 1.047915, acc: 0.070312] 1355: [D loss: 0.675133, acc: 0.583984] [A loss: 0.726456, acc: 0.464844] 1356: [D loss: 0.686588, acc: 0.544922] [A loss: 1.027057, acc: 0.078125] 1357: [D loss: 0.666112, acc: 0.564453] [A loss: 0.787446, acc: 0.355469] 1358: [D loss: 0.691415, acc: 0.552734] [A loss: 0.899968, acc: 0.160156] 1359: [D loss: 0.684496, acc: 0.539062] [A loss: 0.845977, acc: 0.234375] 1360: [D loss: 0.694466, acc: 0.542969] [A loss: 0.962894, acc: 0.128906] 1361: [D loss: 0.685385, acc: 0.562500] [A loss: 0.729816, acc: 0.425781] 1362: [D loss: 0.727553, acc: 0.527344] [A loss: 1.064868, acc: 0.027344] 1363: [D loss: 0.682635, acc: 0.564453] [A loss: 0.728379, acc: 0.449219] 1364: [D loss: 0.689192, acc: 0.533203] [A loss: 0.970784, acc: 0.109375] 1365: [D loss: 0.671203, acc: 0.578125] [A loss: 0.763163, acc: 0.402344] 1366: [D loss: 0.705243, acc: 0.511719] [A loss: 0.947013, acc: 0.125000] 1367: [D loss: 0.690434, acc: 0.568359] [A loss: 0.871813, acc: 0.171875] 1368: [D loss: 0.681663, acc: 0.552734] [A loss: 0.933555, acc: 0.164062] 1369: [D loss: 0.694539, acc: 0.548828] [A loss: 0.907545, acc: 0.164062] 1370: [D loss: 0.673331, acc: 0.595703] [A loss: 0.896482, acc: 0.160156] 1371: [D loss: 0.677499, acc: 0.580078] [A loss: 0.837815, acc: 0.246094] 1372: [D loss: 0.686010, acc: 0.568359] [A loss: 1.017482, acc: 0.078125] 1373: [D loss: 0.679125, acc: 0.568359] [A loss: 0.732766, acc: 0.460938] 1374: [D loss: 0.686557, acc: 0.544922] [A loss: 1.056310, acc: 0.050781] 1375: [D loss: 0.681818, acc: 0.572266] [A loss: 0.715758, acc: 0.460938] 1376: [D loss: 0.718619, acc: 0.523438] [A loss: 1.103293, acc: 0.046875] 1377: [D loss: 0.689126, acc: 0.523438] [A loss: 0.716208, acc: 0.519531] 1378: [D loss: 0.690014, acc: 0.558594] [A loss: 0.929922, acc: 0.136719] 1379: [D loss: 0.680520, acc: 0.580078] [A loss: 0.839174, acc: 0.277344] 1380: [D loss: 0.707907, acc: 0.533203] [A loss: 0.990039, acc: 0.113281] 1381: [D loss: 0.697003, acc: 0.529297] [A loss: 0.786078, acc: 0.324219] 1382: [D loss: 0.687623, acc: 0.568359] [A loss: 1.008061, acc: 0.078125] 1383: [D loss: 0.683330, acc: 0.554688] [A loss: 0.858120, acc: 0.222656] 1384: [D loss: 0.683381, acc: 0.566406] [A loss: 0.938904, acc: 0.152344] 1385: [D loss: 0.674330, acc: 0.572266] [A loss: 0.851779, acc: 0.203125] 1386: [D loss: 0.674580, acc: 0.583984] [A loss: 0.939226, acc: 0.136719] 1387: [D loss: 0.714943, acc: 0.519531] [A loss: 0.892953, acc: 0.148438] 1388: [D loss: 0.686086, acc: 0.556641] [A loss: 0.743546, acc: 0.433594] 1389: [D loss: 0.709176, acc: 0.535156] [A loss: 1.072410, acc: 0.023438] 1390: [D loss: 0.694521, acc: 0.537109] [A loss: 0.725650, acc: 0.429688] 1391: [D loss: 0.686719, acc: 0.560547] [A loss: 1.052878, acc: 0.042969] 1392: [D loss: 0.682317, acc: 0.531250] [A loss: 0.797696, acc: 0.339844] 1393: [D loss: 0.690212, acc: 0.546875] [A loss: 0.968595, acc: 0.066406] 1394: [D loss: 0.680005, acc: 0.558594] [A loss: 0.773726, acc: 0.363281] 1395: [D loss: 0.701489, acc: 0.521484] [A loss: 0.968780, acc: 0.082031] 1396: [D loss: 0.692264, acc: 0.544922] [A loss: 0.787775, acc: 0.300781] 1397: [D loss: 0.695131, acc: 0.554688] [A loss: 0.921451, acc: 0.144531] 1398: [D loss: 0.665545, acc: 0.611328] [A loss: 0.869150, acc: 0.175781] 1399: [D loss: 0.687832, acc: 0.556641] [A loss: 0.926442, acc: 0.144531] 1400: [D loss: 0.675473, acc: 0.552734] [A loss: 0.798266, acc: 0.300781] 1401: [D loss: 0.699518, acc: 0.507812] [A loss: 0.989912, acc: 0.101562] 1402: [D loss: 0.664724, acc: 0.611328] [A loss: 0.819652, acc: 0.296875] 1403: [D loss: 0.695672, acc: 0.535156] [A loss: 0.940680, acc: 0.140625] 1404: [D loss: 0.686216, acc: 0.560547] [A loss: 0.800316, acc: 0.261719] 1405: [D loss: 0.682434, acc: 0.574219] [A loss: 1.096116, acc: 0.035156] 1406: [D loss: 0.687526, acc: 0.541016] [A loss: 0.690246, acc: 0.527344] 1407: [D loss: 0.714601, acc: 0.515625] [A loss: 1.085597, acc: 0.054688] 1408: [D loss: 0.691210, acc: 0.548828] [A loss: 0.719130, acc: 0.480469] 1409: [D loss: 0.707876, acc: 0.527344] [A loss: 1.030530, acc: 0.058594] 1410: [D loss: 0.677265, acc: 0.570312] [A loss: 0.754268, acc: 0.394531] 1411: [D loss: 0.686650, acc: 0.564453] [A loss: 0.944750, acc: 0.148438] 1412: [D loss: 0.693631, acc: 0.533203] [A loss: 0.725627, acc: 0.453125] 1413: [D loss: 0.707038, acc: 0.537109] [A loss: 0.956291, acc: 0.101562] 1414: [D loss: 0.680428, acc: 0.568359] [A loss: 0.790565, acc: 0.332031] 1415: [D loss: 0.703807, acc: 0.525391] [A loss: 0.947150, acc: 0.132812] 1416: [D loss: 0.699857, acc: 0.556641] [A loss: 0.854448, acc: 0.250000] 1417: [D loss: 0.693568, acc: 0.550781] [A loss: 0.909785, acc: 0.109375] 1418: [D loss: 0.682288, acc: 0.550781] [A loss: 0.854283, acc: 0.230469] 1419: [D loss: 0.684839, acc: 0.554688] [A loss: 0.877074, acc: 0.156250] 1420: [D loss: 0.684132, acc: 0.566406] [A loss: 0.847483, acc: 0.238281] 1421: [D loss: 0.697519, acc: 0.515625] [A loss: 0.871327, acc: 0.203125] 1422: [D loss: 0.694352, acc: 0.558594] [A loss: 0.952605, acc: 0.125000] 1423: [D loss: 0.682792, acc: 0.564453] [A loss: 0.817283, acc: 0.281250] 1424: [D loss: 0.689297, acc: 0.537109] [A loss: 0.987831, acc: 0.093750] 1425: [D loss: 0.671751, acc: 0.609375] [A loss: 0.824614, acc: 0.261719] 1426: [D loss: 0.695112, acc: 0.523438] [A loss: 0.965048, acc: 0.113281] 1427: [D loss: 0.675543, acc: 0.529297] [A loss: 0.814246, acc: 0.316406] 1428: [D loss: 0.680136, acc: 0.554688] [A loss: 0.971063, acc: 0.097656] 1429: [D loss: 0.687484, acc: 0.537109] [A loss: 0.867087, acc: 0.191406] 1430: [D loss: 0.703398, acc: 0.541016] [A loss: 0.915500, acc: 0.164062] 1431: [D loss: 0.681540, acc: 0.562500] [A loss: 0.849937, acc: 0.226562] 1432: [D loss: 0.690450, acc: 0.570312] [A loss: 0.990500, acc: 0.089844] 1433: [D loss: 0.683461, acc: 0.537109] [A loss: 0.838524, acc: 0.230469] 1434: [D loss: 0.693501, acc: 0.527344] [A loss: 0.920217, acc: 0.152344] 1435: [D loss: 0.706107, acc: 0.523438] [A loss: 0.858043, acc: 0.230469] 1436: [D loss: 0.681579, acc: 0.552734] [A loss: 0.895491, acc: 0.179688] 1437: [D loss: 0.683068, acc: 0.546875] [A loss: 0.867942, acc: 0.226562] 1438: [D loss: 0.690187, acc: 0.552734] [A loss: 1.036008, acc: 0.082031] 1439: [D loss: 0.696736, acc: 0.521484] [A loss: 0.791040, acc: 0.343750] 1440: [D loss: 0.702511, acc: 0.544922] [A loss: 1.112070, acc: 0.039062] 1441: [D loss: 0.690475, acc: 0.552734] [A loss: 0.701648, acc: 0.519531] 1442: [D loss: 0.716412, acc: 0.525391] [A loss: 1.144232, acc: 0.027344] 1443: [D loss: 0.680790, acc: 0.527344] [A loss: 0.654021, acc: 0.632812] 1444: [D loss: 0.733224, acc: 0.541016] [A loss: 1.043412, acc: 0.070312] 1445: [D loss: 0.698747, acc: 0.546875] [A loss: 0.773413, acc: 0.343750] 1446: [D loss: 0.693459, acc: 0.560547] [A loss: 0.877635, acc: 0.203125] 1447: [D loss: 0.680338, acc: 0.574219] [A loss: 0.830772, acc: 0.273438] 1448: [D loss: 0.698463, acc: 0.509766] [A loss: 0.904582, acc: 0.148438] 1449: [D loss: 0.697972, acc: 0.529297] [A loss: 0.791010, acc: 0.312500] 1450: [D loss: 0.684090, acc: 0.558594] [A loss: 0.871195, acc: 0.218750] 1451: [D loss: 0.670267, acc: 0.558594] [A loss: 0.865961, acc: 0.187500] 1452: [D loss: 0.696579, acc: 0.531250] [A loss: 0.887276, acc: 0.179688] 1453: [D loss: 0.679792, acc: 0.558594] [A loss: 0.859348, acc: 0.218750] 1454: [D loss: 0.671905, acc: 0.587891] [A loss: 0.891128, acc: 0.164062] 1455: [D loss: 0.684402, acc: 0.548828] [A loss: 0.887276, acc: 0.199219] 1456: [D loss: 0.688021, acc: 0.539062] [A loss: 0.904280, acc: 0.144531] 1457: [D loss: 0.675556, acc: 0.570312] [A loss: 0.876526, acc: 0.210938] 1458: [D loss: 0.693960, acc: 0.546875] [A loss: 0.835364, acc: 0.292969] 1459: [D loss: 0.686742, acc: 0.542969] [A loss: 0.976019, acc: 0.105469] 1460: [D loss: 0.683576, acc: 0.572266] [A loss: 0.688511, acc: 0.523438] 1461: [D loss: 0.696244, acc: 0.554688] [A loss: 1.102311, acc: 0.039062] 1462: [D loss: 0.698111, acc: 0.523438] [A loss: 0.716428, acc: 0.492188] 1463: [D loss: 0.703350, acc: 0.537109] [A loss: 1.071164, acc: 0.089844] 1464: [D loss: 0.701473, acc: 0.517578] [A loss: 0.804562, acc: 0.281250] 1465: [D loss: 0.675192, acc: 0.570312] [A loss: 1.053383, acc: 0.054688] 1466: [D loss: 0.691996, acc: 0.548828] [A loss: 0.810806, acc: 0.300781] 1467: [D loss: 0.693308, acc: 0.550781] [A loss: 0.905169, acc: 0.164062] 1468: [D loss: 0.707525, acc: 0.523438] [A loss: 0.896952, acc: 0.167969] 1469: [D loss: 0.677139, acc: 0.587891] [A loss: 0.842165, acc: 0.238281] 1470: [D loss: 0.686578, acc: 0.531250] [A loss: 0.941957, acc: 0.125000] 1471: [D loss: 0.674375, acc: 0.537109] [A loss: 0.831331, acc: 0.265625] 1472: [D loss: 0.683420, acc: 0.554688] [A loss: 0.900903, acc: 0.171875] 1473: [D loss: 0.687680, acc: 0.537109] [A loss: 0.821636, acc: 0.218750] 1474: [D loss: 0.708661, acc: 0.537109] [A loss: 1.140952, acc: 0.035156] 1475: [D loss: 0.695223, acc: 0.525391] [A loss: 0.619447, acc: 0.664062] 1476: [D loss: 0.729654, acc: 0.509766] [A loss: 1.097099, acc: 0.039062] 1477: [D loss: 0.684500, acc: 0.566406] [A loss: 0.676609, acc: 0.546875] 1478: [D loss: 0.701425, acc: 0.535156] [A loss: 0.934312, acc: 0.109375] 1479: [D loss: 0.672164, acc: 0.564453] [A loss: 0.755975, acc: 0.386719] 1480: [D loss: 0.691834, acc: 0.556641] [A loss: 0.872292, acc: 0.183594] 1481: [D loss: 0.691015, acc: 0.546875] [A loss: 0.802435, acc: 0.308594] 1482: [D loss: 0.696150, acc: 0.546875] [A loss: 0.902475, acc: 0.125000] 1483: [D loss: 0.689163, acc: 0.548828] [A loss: 0.855460, acc: 0.214844] 1484: [D loss: 0.676331, acc: 0.554688] [A loss: 0.863194, acc: 0.175781] 1485: [D loss: 0.690965, acc: 0.529297] [A loss: 0.824967, acc: 0.257812] 1486: [D loss: 0.685546, acc: 0.572266] [A loss: 0.912836, acc: 0.164062] 1487: [D loss: 0.685353, acc: 0.556641] [A loss: 0.765477, acc: 0.339844] 1488: [D loss: 0.702536, acc: 0.548828] [A loss: 0.953197, acc: 0.082031] 1489: [D loss: 0.687757, acc: 0.541016] [A loss: 0.760889, acc: 0.367188] 1490: [D loss: 0.732242, acc: 0.496094] [A loss: 1.032861, acc: 0.082031] 1491: [D loss: 0.701167, acc: 0.513672] [A loss: 0.797510, acc: 0.289062] 1492: [D loss: 0.705409, acc: 0.513672] [A loss: 1.032778, acc: 0.050781] 1493: [D loss: 0.681855, acc: 0.572266] [A loss: 0.743291, acc: 0.390625] 1494: [D loss: 0.689184, acc: 0.533203] [A loss: 0.899182, acc: 0.144531] 1495: [D loss: 0.667220, acc: 0.599609] [A loss: 0.794818, acc: 0.304688] 1496: [D loss: 0.688689, acc: 0.548828] [A loss: 0.908301, acc: 0.105469] 1497: [D loss: 0.668851, acc: 0.601562] [A loss: 0.782752, acc: 0.316406] 1498: [D loss: 0.687823, acc: 0.572266] [A loss: 1.028298, acc: 0.078125] 1499: [D loss: 0.680914, acc: 0.550781] [A loss: 0.763278, acc: 0.378906] 1500: [D loss: 0.702079, acc: 0.523438] [A loss: 0.882744, acc: 0.191406] 1501: [D loss: 0.688196, acc: 0.546875] [A loss: 0.802884, acc: 0.289062] 1502: [D loss: 0.693674, acc: 0.541016] [A loss: 1.073082, acc: 0.031250] 1503: [D loss: 0.688988, acc: 0.539062] [A loss: 0.810818, acc: 0.296875] 1504: [D loss: 0.694866, acc: 0.533203] [A loss: 0.999741, acc: 0.082031] 1505: [D loss: 0.677780, acc: 0.585938] [A loss: 0.764849, acc: 0.375000] 1506: [D loss: 0.701519, acc: 0.533203] [A loss: 1.064087, acc: 0.054688] 1507: [D loss: 0.699031, acc: 0.511719] [A loss: 0.687368, acc: 0.496094] 1508: [D loss: 0.716922, acc: 0.519531] [A loss: 1.031274, acc: 0.046875] 1509: [D loss: 0.686520, acc: 0.552734] [A loss: 0.750107, acc: 0.390625] 1510: [D loss: 0.692583, acc: 0.542969] [A loss: 0.986989, acc: 0.113281] 1511: [D loss: 0.692619, acc: 0.550781] [A loss: 0.777330, acc: 0.367188] 1512: [D loss: 0.705354, acc: 0.539062] [A loss: 0.920723, acc: 0.132812] 1513: [D loss: 0.687343, acc: 0.564453] [A loss: 0.835805, acc: 0.218750] 1514: [D loss: 0.675863, acc: 0.574219] [A loss: 0.899451, acc: 0.164062] 1515: [D loss: 0.677100, acc: 0.580078] [A loss: 0.757274, acc: 0.398438] 1516: [D loss: 0.701609, acc: 0.531250] [A loss: 0.972432, acc: 0.125000] 1517: [D loss: 0.674496, acc: 0.570312] [A loss: 0.778010, acc: 0.382812] 1518: [D loss: 0.703478, acc: 0.554688] [A loss: 0.972099, acc: 0.097656] 1519: [D loss: 0.684285, acc: 0.580078] [A loss: 0.694510, acc: 0.535156] 1520: [D loss: 0.690600, acc: 0.546875] [A loss: 0.997140, acc: 0.054688] 1521: [D loss: 0.679146, acc: 0.566406] [A loss: 0.765389, acc: 0.371094] 1522: [D loss: 0.723674, acc: 0.513672] [A loss: 0.946115, acc: 0.128906] 1523: [D loss: 0.704026, acc: 0.525391] [A loss: 0.902316, acc: 0.167969] 1524: [D loss: 0.689254, acc: 0.552734] [A loss: 0.886748, acc: 0.164062] 1525: [D loss: 0.679877, acc: 0.558594] [A loss: 0.936323, acc: 0.156250] 1526: [D loss: 0.683875, acc: 0.548828] [A loss: 0.937136, acc: 0.117188] 1527: [D loss: 0.684363, acc: 0.568359] [A loss: 0.849743, acc: 0.207031] 1528: [D loss: 0.689071, acc: 0.542969] [A loss: 0.951731, acc: 0.109375] 1529: [D loss: 0.691063, acc: 0.523438] [A loss: 0.888806, acc: 0.191406] 1530: [D loss: 0.686037, acc: 0.570312] [A loss: 0.921199, acc: 0.160156] 1531: [D loss: 0.690424, acc: 0.550781] [A loss: 0.810445, acc: 0.269531] 1532: [D loss: 0.676407, acc: 0.589844] [A loss: 0.969245, acc: 0.101562] 1533: [D loss: 0.689031, acc: 0.548828] [A loss: 0.759976, acc: 0.390625] 1534: [D loss: 0.689007, acc: 0.537109] [A loss: 1.064116, acc: 0.066406] 1535: [D loss: 0.676196, acc: 0.572266] [A loss: 0.620505, acc: 0.699219] 1536: [D loss: 0.732486, acc: 0.507812] [A loss: 1.079064, acc: 0.070312] 1537: [D loss: 0.677591, acc: 0.574219] [A loss: 0.696552, acc: 0.511719] 1538: [D loss: 0.702136, acc: 0.541016] [A loss: 1.032345, acc: 0.082031] 1539: [D loss: 0.681015, acc: 0.578125] [A loss: 0.720898, acc: 0.500000] 1540: [D loss: 0.730116, acc: 0.511719] [A loss: 0.932712, acc: 0.195312] 1541: [D loss: 0.682510, acc: 0.583984] [A loss: 0.831271, acc: 0.253906] 1542: [D loss: 0.709925, acc: 0.517578] [A loss: 0.897204, acc: 0.148438] 1543: [D loss: 0.686488, acc: 0.548828] [A loss: 0.943659, acc: 0.121094] 1544: [D loss: 0.693812, acc: 0.548828] [A loss: 0.859655, acc: 0.222656] 1545: [D loss: 0.696501, acc: 0.541016] [A loss: 0.860766, acc: 0.179688] 1546: [D loss: 0.684339, acc: 0.548828] [A loss: 0.818940, acc: 0.246094] 1547: [D loss: 0.692080, acc: 0.546875] [A loss: 0.869260, acc: 0.207031] 1548: [D loss: 0.665461, acc: 0.574219] [A loss: 0.920074, acc: 0.156250] 1549: [D loss: 0.696623, acc: 0.535156] [A loss: 0.865621, acc: 0.195312] 1550: [D loss: 0.693546, acc: 0.539062] [A loss: 0.931847, acc: 0.140625] 1551: [D loss: 0.678101, acc: 0.574219] [A loss: 0.813601, acc: 0.257812] 1552: [D loss: 0.706046, acc: 0.525391] [A loss: 0.941276, acc: 0.109375] 1553: [D loss: 0.680048, acc: 0.570312] [A loss: 0.883997, acc: 0.214844] 1554: [D loss: 0.689136, acc: 0.564453] [A loss: 0.911735, acc: 0.203125] 1555: [D loss: 0.704441, acc: 0.494141] [A loss: 0.925131, acc: 0.144531] 1556: [D loss: 0.678945, acc: 0.593750] [A loss: 1.049676, acc: 0.046875] 1557: [D loss: 0.671102, acc: 0.570312] [A loss: 0.697365, acc: 0.507812] 1558: [D loss: 0.708998, acc: 0.535156] [A loss: 1.117888, acc: 0.035156] 1559: [D loss: 0.680412, acc: 0.566406] [A loss: 0.701398, acc: 0.492188] 1560: [D loss: 0.704779, acc: 0.552734] [A loss: 1.116464, acc: 0.031250] 1561: [D loss: 0.690707, acc: 0.527344] [A loss: 0.656472, acc: 0.593750] 1562: [D loss: 0.714007, acc: 0.521484] [A loss: 1.002701, acc: 0.078125] 1563: [D loss: 0.677948, acc: 0.570312] [A loss: 0.714878, acc: 0.472656] 1564: [D loss: 0.708802, acc: 0.535156] [A loss: 0.972258, acc: 0.101562] 1565: [D loss: 0.684131, acc: 0.552734] [A loss: 0.772115, acc: 0.324219] 1566: [D loss: 0.692131, acc: 0.531250] [A loss: 0.966201, acc: 0.109375] 1567: [D loss: 0.684685, acc: 0.583984] [A loss: 0.776703, acc: 0.343750] 1568: [D loss: 0.703225, acc: 0.550781] [A loss: 0.988788, acc: 0.140625] 1569: [D loss: 0.689269, acc: 0.576172] [A loss: 0.808018, acc: 0.281250] 1570: [D loss: 0.706604, acc: 0.535156] [A loss: 1.010552, acc: 0.082031] 1571: [D loss: 0.689530, acc: 0.527344] [A loss: 0.770515, acc: 0.375000] 1572: [D loss: 0.707535, acc: 0.552734] [A loss: 1.004741, acc: 0.062500] 1573: [D loss: 0.683574, acc: 0.556641] [A loss: 0.671616, acc: 0.593750] 1574: [D loss: 0.715839, acc: 0.521484] [A loss: 1.029077, acc: 0.074219] 1575: [D loss: 0.671854, acc: 0.568359] [A loss: 0.734725, acc: 0.417969] 1576: [D loss: 0.694270, acc: 0.541016] [A loss: 0.942342, acc: 0.136719] 1577: [D loss: 0.699806, acc: 0.535156] [A loss: 0.838957, acc: 0.246094] 1578: [D loss: 0.688313, acc: 0.554688] [A loss: 0.863501, acc: 0.218750] 1579: [D loss: 0.697275, acc: 0.527344] [A loss: 0.783352, acc: 0.292969] 1580: [D loss: 0.696627, acc: 0.527344] [A loss: 0.850458, acc: 0.226562] 1581: [D loss: 0.682958, acc: 0.552734] [A loss: 0.818844, acc: 0.285156] 1582: [D loss: 0.693285, acc: 0.537109] [A loss: 0.902264, acc: 0.175781] 1583: [D loss: 0.689278, acc: 0.539062] [A loss: 0.757422, acc: 0.371094] 1584: [D loss: 0.699779, acc: 0.527344] [A loss: 0.968563, acc: 0.097656] 1585: [D loss: 0.672812, acc: 0.595703] [A loss: 0.752278, acc: 0.371094] 1586: [D loss: 0.689887, acc: 0.562500] [A loss: 0.922437, acc: 0.105469] 1587: [D loss: 0.668561, acc: 0.621094] [A loss: 0.873868, acc: 0.207031] 1588: [D loss: 0.683408, acc: 0.578125] [A loss: 0.952875, acc: 0.152344] 1589: [D loss: 0.680333, acc: 0.546875] [A loss: 0.882285, acc: 0.195312] 1590: [D loss: 0.686991, acc: 0.566406] [A loss: 0.925132, acc: 0.140625] 1591: [D loss: 0.689281, acc: 0.537109] [A loss: 0.790605, acc: 0.359375] 1592: [D loss: 0.685950, acc: 0.556641] [A loss: 0.998280, acc: 0.062500] 1593: [D loss: 0.679365, acc: 0.556641] [A loss: 0.740831, acc: 0.441406] 1594: [D loss: 0.711396, acc: 0.533203] [A loss: 1.031608, acc: 0.078125] 1595: [D loss: 0.698580, acc: 0.531250] [A loss: 0.781804, acc: 0.328125] 1596: [D loss: 0.718165, acc: 0.496094] [A loss: 1.088849, acc: 0.054688] 1597: [D loss: 0.688332, acc: 0.539062] [A loss: 0.639507, acc: 0.644531] 1598: [D loss: 0.738044, acc: 0.509766] [A loss: 1.045579, acc: 0.039062] 1599: [D loss: 0.693979, acc: 0.523438] [A loss: 0.711009, acc: 0.496094] 1600: [D loss: 0.704125, acc: 0.511719] [A loss: 0.910940, acc: 0.128906] 1601: [D loss: 0.683826, acc: 0.546875] [A loss: 0.799096, acc: 0.296875] 1602: [D loss: 0.697688, acc: 0.501953] [A loss: 0.868150, acc: 0.179688] 1603: [D loss: 0.691810, acc: 0.570312] [A loss: 0.850478, acc: 0.203125] 1604: [D loss: 0.681741, acc: 0.533203] [A loss: 0.874965, acc: 0.179688] 1605: [D loss: 0.689656, acc: 0.531250] [A loss: 0.872180, acc: 0.191406] 1606: [D loss: 0.688372, acc: 0.552734] [A loss: 0.857316, acc: 0.226562] 1607: [D loss: 0.678929, acc: 0.546875] [A loss: 0.905736, acc: 0.156250] 1608: [D loss: 0.699649, acc: 0.537109] [A loss: 0.862125, acc: 0.195312] 1609: [D loss: 0.666695, acc: 0.572266] [A loss: 0.832234, acc: 0.269531] 1610: [D loss: 0.700328, acc: 0.505859] [A loss: 0.957006, acc: 0.109375] 1611: [D loss: 0.693124, acc: 0.535156] [A loss: 0.839281, acc: 0.238281] 1612: [D loss: 0.696686, acc: 0.519531] [A loss: 0.996324, acc: 0.066406] 1613: [D loss: 0.682500, acc: 0.578125] [A loss: 0.778152, acc: 0.355469] 1614: [D loss: 0.692801, acc: 0.541016] [A loss: 1.005769, acc: 0.101562] 1615: [D loss: 0.678421, acc: 0.566406] [A loss: 0.715497, acc: 0.472656] 1616: [D loss: 0.707518, acc: 0.517578] [A loss: 1.105747, acc: 0.015625] 1617: [D loss: 0.691451, acc: 0.546875] [A loss: 0.655454, acc: 0.597656] 1618: [D loss: 0.711966, acc: 0.519531] [A loss: 1.066840, acc: 0.035156] 1619: [D loss: 0.684148, acc: 0.566406] [A loss: 0.738469, acc: 0.445312] 1620: [D loss: 0.703749, acc: 0.519531] [A loss: 0.964064, acc: 0.101562] 1621: [D loss: 0.696519, acc: 0.525391] [A loss: 0.758149, acc: 0.398438] 1622: [D loss: 0.699985, acc: 0.533203] [A loss: 0.914942, acc: 0.097656] 1623: [D loss: 0.683843, acc: 0.556641] [A loss: 0.861580, acc: 0.191406] 1624: [D loss: 0.678909, acc: 0.560547] [A loss: 0.893846, acc: 0.171875] 1625: [D loss: 0.669188, acc: 0.587891] [A loss: 0.830471, acc: 0.253906] 1626: [D loss: 0.678973, acc: 0.562500] [A loss: 0.868966, acc: 0.183594] 1627: [D loss: 0.692118, acc: 0.542969] [A loss: 0.860123, acc: 0.214844] 1628: [D loss: 0.701437, acc: 0.533203] [A loss: 0.884155, acc: 0.171875] 1629: [D loss: 0.697449, acc: 0.570312] [A loss: 0.908072, acc: 0.148438] 1630: [D loss: 0.687991, acc: 0.539062] [A loss: 0.895056, acc: 0.144531] 1631: [D loss: 0.678261, acc: 0.580078] [A loss: 0.857215, acc: 0.234375] 1632: [D loss: 0.704866, acc: 0.519531] [A loss: 0.885324, acc: 0.148438] 1633: [D loss: 0.701237, acc: 0.501953] [A loss: 0.864608, acc: 0.207031] 1634: [D loss: 0.677506, acc: 0.582031] [A loss: 0.936920, acc: 0.128906] 1635: [D loss: 0.696195, acc: 0.537109] [A loss: 0.812374, acc: 0.269531] 1636: [D loss: 0.696209, acc: 0.560547] [A loss: 0.917596, acc: 0.125000] 1637: [D loss: 0.674891, acc: 0.558594] [A loss: 0.806727, acc: 0.289062] 1638: [D loss: 0.696542, acc: 0.554688] [A loss: 1.108488, acc: 0.039062] 1639: [D loss: 0.686032, acc: 0.562500] [A loss: 0.623126, acc: 0.679688] 1640: [D loss: 0.721491, acc: 0.521484] [A loss: 1.152856, acc: 0.019531] 1641: [D loss: 0.688111, acc: 0.562500] [A loss: 0.632592, acc: 0.671875] 1642: [D loss: 0.719599, acc: 0.529297] [A loss: 0.991134, acc: 0.097656] 1643: [D loss: 0.682014, acc: 0.550781] [A loss: 0.739876, acc: 0.425781] 1644: [D loss: 0.687248, acc: 0.564453] [A loss: 0.920518, acc: 0.164062] 1645: [D loss: 0.680452, acc: 0.556641] [A loss: 0.740274, acc: 0.414062] 1646: [D loss: 0.696644, acc: 0.523438] [A loss: 0.914531, acc: 0.167969] 1647: [D loss: 0.679710, acc: 0.556641] [A loss: 0.806895, acc: 0.320312] 1648: [D loss: 0.682941, acc: 0.572266] [A loss: 0.944163, acc: 0.117188] 1649: [D loss: 0.672350, acc: 0.578125] [A loss: 0.750925, acc: 0.406250] 1650: [D loss: 0.679695, acc: 0.552734] [A loss: 0.944685, acc: 0.144531] 1651: [D loss: 0.683318, acc: 0.542969] [A loss: 0.874360, acc: 0.199219] 1652: [D loss: 0.693050, acc: 0.552734] [A loss: 0.949453, acc: 0.125000] 1653: [D loss: 0.701845, acc: 0.496094] [A loss: 0.851215, acc: 0.222656] 1654: [D loss: 0.698788, acc: 0.537109] [A loss: 1.000212, acc: 0.089844] 1655: [D loss: 0.693295, acc: 0.505859] [A loss: 0.796714, acc: 0.312500] 1656: [D loss: 0.683443, acc: 0.572266] [A loss: 0.928834, acc: 0.125000] 1657: [D loss: 0.697033, acc: 0.525391] [A loss: 0.828667, acc: 0.238281] 1658: [D loss: 0.697888, acc: 0.542969] [A loss: 0.989808, acc: 0.078125] 1659: [D loss: 0.676716, acc: 0.566406] [A loss: 0.777393, acc: 0.363281] 1660: [D loss: 0.706761, acc: 0.542969] [A loss: 1.024099, acc: 0.085938] 1661: [D loss: 0.683067, acc: 0.566406] [A loss: 0.729087, acc: 0.480469] 1662: [D loss: 0.718352, acc: 0.519531] [A loss: 1.118163, acc: 0.046875] 1663: [D loss: 0.684094, acc: 0.548828] [A loss: 0.689077, acc: 0.523438] 1664: [D loss: 0.686341, acc: 0.556641] [A loss: 0.942917, acc: 0.113281] 1665: [D loss: 0.685288, acc: 0.542969] [A loss: 0.795193, acc: 0.308594] 1666: [D loss: 0.701039, acc: 0.529297] [A loss: 0.952908, acc: 0.093750] 1667: [D loss: 0.694646, acc: 0.521484] [A loss: 0.815201, acc: 0.269531] 1668: [D loss: 0.674808, acc: 0.580078] [A loss: 0.953990, acc: 0.101562] 1669: [D loss: 0.689224, acc: 0.560547] [A loss: 0.791143, acc: 0.289062] 1670: [D loss: 0.683567, acc: 0.572266] [A loss: 0.965845, acc: 0.085938] 1671: [D loss: 0.694910, acc: 0.527344] [A loss: 0.779294, acc: 0.367188] 1672: [D loss: 0.690532, acc: 0.548828] [A loss: 0.985545, acc: 0.113281] 1673: [D loss: 0.682873, acc: 0.576172] [A loss: 0.788901, acc: 0.328125] 1674: [D loss: 0.699567, acc: 0.525391] [A loss: 0.960016, acc: 0.093750] 1675: [D loss: 0.684383, acc: 0.562500] [A loss: 0.731903, acc: 0.421875] 1676: [D loss: 0.705092, acc: 0.533203] [A loss: 1.031540, acc: 0.074219] 1677: [D loss: 0.696686, acc: 0.552734] [A loss: 0.625483, acc: 0.703125] 1678: [D loss: 0.705786, acc: 0.525391] [A loss: 1.075027, acc: 0.050781] 1679: [D loss: 0.668566, acc: 0.580078] [A loss: 0.693379, acc: 0.527344] 1680: [D loss: 0.737375, acc: 0.492188] [A loss: 0.934408, acc: 0.121094] 1681: [D loss: 0.700039, acc: 0.544922] [A loss: 0.789462, acc: 0.328125] 1682: [D loss: 0.709803, acc: 0.552734] [A loss: 0.935712, acc: 0.140625] 1683: [D loss: 0.685876, acc: 0.554688] [A loss: 0.778177, acc: 0.355469] 1684: [D loss: 0.700154, acc: 0.535156] [A loss: 0.984986, acc: 0.097656] 1685: [D loss: 0.703029, acc: 0.507812] [A loss: 0.758892, acc: 0.363281] 1686: [D loss: 0.676340, acc: 0.587891] [A loss: 0.898422, acc: 0.164062] 1687: [D loss: 0.686846, acc: 0.562500] [A loss: 0.743438, acc: 0.445312] 1688: [D loss: 0.705463, acc: 0.537109] [A loss: 1.027707, acc: 0.054688] 1689: [D loss: 0.677077, acc: 0.572266] [A loss: 0.776064, acc: 0.359375] 1690: [D loss: 0.696334, acc: 0.541016] [A loss: 0.971727, acc: 0.074219] 1691: [D loss: 0.681475, acc: 0.568359] [A loss: 0.739354, acc: 0.433594] 1692: [D loss: 0.705146, acc: 0.523438] [A loss: 0.984031, acc: 0.082031] 1693: [D loss: 0.679384, acc: 0.564453] [A loss: 0.855569, acc: 0.242188] 1694: [D loss: 0.677679, acc: 0.574219] [A loss: 0.936739, acc: 0.140625] 1695: [D loss: 0.682373, acc: 0.548828] [A loss: 0.808619, acc: 0.312500] 1696: [D loss: 0.703801, acc: 0.533203] [A loss: 0.991667, acc: 0.093750] 1697: [D loss: 0.696221, acc: 0.519531] [A loss: 0.764817, acc: 0.328125] 1698: [D loss: 0.702548, acc: 0.513672] [A loss: 0.979549, acc: 0.089844] 1699: [D loss: 0.689742, acc: 0.519531] [A loss: 0.779101, acc: 0.382812] 1700: [D loss: 0.695235, acc: 0.560547] [A loss: 1.029570, acc: 0.089844] 1701: [D loss: 0.688517, acc: 0.531250] [A loss: 0.794807, acc: 0.332031] 1702: [D loss: 0.689697, acc: 0.558594] [A loss: 0.983517, acc: 0.089844] 1703: [D loss: 0.679525, acc: 0.564453] [A loss: 0.693532, acc: 0.527344] 1704: [D loss: 0.707450, acc: 0.533203] [A loss: 0.950938, acc: 0.101562] 1705: [D loss: 0.681298, acc: 0.574219] [A loss: 0.824075, acc: 0.296875] 1706: [D loss: 0.676125, acc: 0.562500] [A loss: 0.927016, acc: 0.152344] 1707: [D loss: 0.699119, acc: 0.533203] [A loss: 0.926295, acc: 0.148438] 1708: [D loss: 0.692670, acc: 0.517578] [A loss: 0.817229, acc: 0.320312] 1709: [D loss: 0.692534, acc: 0.544922] [A loss: 0.969070, acc: 0.089844] 1710: [D loss: 0.681497, acc: 0.572266] [A loss: 0.763373, acc: 0.371094] 1711: [D loss: 0.695801, acc: 0.531250] [A loss: 1.024660, acc: 0.050781] 1712: [D loss: 0.680894, acc: 0.554688] [A loss: 0.794278, acc: 0.332031] 1713: [D loss: 0.696081, acc: 0.515625] [A loss: 0.970632, acc: 0.113281] 1714: [D loss: 0.677438, acc: 0.546875] [A loss: 0.731411, acc: 0.417969] 1715: [D loss: 0.698788, acc: 0.548828] [A loss: 0.986698, acc: 0.082031] 1716: [D loss: 0.683774, acc: 0.562500] [A loss: 0.919213, acc: 0.160156] 1717: [D loss: 0.696574, acc: 0.531250] [A loss: 0.907840, acc: 0.175781] 1718: [D loss: 0.696049, acc: 0.531250] [A loss: 0.864865, acc: 0.183594] 1719: [D loss: 0.689296, acc: 0.576172] [A loss: 0.901678, acc: 0.179688] 1720: [D loss: 0.670239, acc: 0.583984] [A loss: 0.856308, acc: 0.238281] 1721: [D loss: 0.690624, acc: 0.548828] [A loss: 0.961212, acc: 0.121094] 1722: [D loss: 0.683725, acc: 0.546875] [A loss: 0.809312, acc: 0.339844] 1723: [D loss: 0.701779, acc: 0.537109] [A loss: 1.023630, acc: 0.089844] 1724: [D loss: 0.687173, acc: 0.554688] [A loss: 0.680253, acc: 0.570312] 1725: [D loss: 0.707558, acc: 0.541016] [A loss: 1.128348, acc: 0.042969] 1726: [D loss: 0.688683, acc: 0.556641] [A loss: 0.637532, acc: 0.640625] 1727: [D loss: 0.730741, acc: 0.515625] [A loss: 1.022923, acc: 0.082031] 1728: [D loss: 0.698346, acc: 0.505859] [A loss: 0.687357, acc: 0.578125] 1729: [D loss: 0.698705, acc: 0.541016] [A loss: 0.933096, acc: 0.121094] 1730: [D loss: 0.676643, acc: 0.595703] [A loss: 0.775902, acc: 0.343750] 1731: [D loss: 0.693171, acc: 0.541016] [A loss: 0.927304, acc: 0.144531] 1732: [D loss: 0.671374, acc: 0.578125] [A loss: 0.816160, acc: 0.253906] 1733: [D loss: 0.690985, acc: 0.541016] [A loss: 0.888140, acc: 0.214844] 1734: [D loss: 0.691809, acc: 0.546875] [A loss: 0.842878, acc: 0.210938] 1735: [D loss: 0.684558, acc: 0.572266] [A loss: 0.889733, acc: 0.187500] 1736: [D loss: 0.683982, acc: 0.550781] [A loss: 0.841305, acc: 0.246094] 1737: [D loss: 0.683225, acc: 0.578125] [A loss: 0.986651, acc: 0.078125] 1738: [D loss: 0.688957, acc: 0.552734] [A loss: 0.821716, acc: 0.316406] 1739: [D loss: 0.694179, acc: 0.558594] [A loss: 1.011929, acc: 0.089844] 1740: [D loss: 0.681465, acc: 0.587891] [A loss: 0.729678, acc: 0.441406] 1741: [D loss: 0.701159, acc: 0.535156] [A loss: 1.018838, acc: 0.089844] 1742: [D loss: 0.684499, acc: 0.552734] [A loss: 0.712307, acc: 0.496094] 1743: [D loss: 0.710521, acc: 0.517578] [A loss: 0.991002, acc: 0.093750] 1744: [D loss: 0.671085, acc: 0.580078] [A loss: 0.714019, acc: 0.437500] 1745: [D loss: 0.710623, acc: 0.544922] [A loss: 0.923654, acc: 0.128906] 1746: [D loss: 0.683064, acc: 0.585938] [A loss: 0.789795, acc: 0.332031] 1747: [D loss: 0.696498, acc: 0.544922] [A loss: 0.884566, acc: 0.160156] 1748: [D loss: 0.670944, acc: 0.619141] [A loss: 0.879752, acc: 0.199219] 1749: [D loss: 0.694923, acc: 0.525391] [A loss: 0.816088, acc: 0.285156] 1750: [D loss: 0.698738, acc: 0.542969] [A loss: 0.944956, acc: 0.125000] 1751: [D loss: 0.676464, acc: 0.580078] [A loss: 0.793074, acc: 0.339844] 1752: [D loss: 0.686619, acc: 0.544922] [A loss: 0.923782, acc: 0.125000] 1753: [D loss: 0.692832, acc: 0.548828] [A loss: 0.921909, acc: 0.125000] 1754: [D loss: 0.676386, acc: 0.582031] [A loss: 0.833897, acc: 0.246094] 1755: [D loss: 0.682994, acc: 0.564453] [A loss: 0.988882, acc: 0.078125] 1756: [D loss: 0.670736, acc: 0.560547] [A loss: 0.807782, acc: 0.304688] 1757: [D loss: 0.709720, acc: 0.544922] [A loss: 1.026902, acc: 0.082031] 1758: [D loss: 0.680957, acc: 0.572266] [A loss: 0.719504, acc: 0.449219] 1759: [D loss: 0.684129, acc: 0.556641] [A loss: 1.083725, acc: 0.054688] 1760: [D loss: 0.682234, acc: 0.546875] [A loss: 0.680032, acc: 0.531250] 1761: [D loss: 0.723766, acc: 0.537109] [A loss: 1.044532, acc: 0.062500] 1762: [D loss: 0.675751, acc: 0.546875] [A loss: 0.728756, acc: 0.460938] 1763: [D loss: 0.720626, acc: 0.519531] [A loss: 0.975154, acc: 0.117188] 1764: [D loss: 0.688494, acc: 0.560547] [A loss: 0.775050, acc: 0.355469] 1765: [D loss: 0.713876, acc: 0.507812] [A loss: 0.939509, acc: 0.109375] 1766: [D loss: 0.675185, acc: 0.558594] [A loss: 0.835967, acc: 0.312500] 1767: [D loss: 0.703917, acc: 0.541016] [A loss: 0.985851, acc: 0.058594] 1768: [D loss: 0.680422, acc: 0.544922] [A loss: 0.840251, acc: 0.285156] 1769: [D loss: 0.694251, acc: 0.537109] [A loss: 0.911548, acc: 0.191406] 1770: [D loss: 0.687394, acc: 0.535156] [A loss: 0.912039, acc: 0.160156] 1771: [D loss: 0.685835, acc: 0.546875] [A loss: 0.801637, acc: 0.281250] 1772: [D loss: 0.678826, acc: 0.548828] [A loss: 0.968557, acc: 0.128906] 1773: [D loss: 0.696352, acc: 0.552734] [A loss: 0.796225, acc: 0.312500] 1774: [D loss: 0.675699, acc: 0.595703] [A loss: 0.911605, acc: 0.167969] 1775: [D loss: 0.680799, acc: 0.566406] [A loss: 0.851479, acc: 0.234375] 1776: [D loss: 0.680032, acc: 0.554688] [A loss: 0.946540, acc: 0.109375] 1777: [D loss: 0.684631, acc: 0.566406] [A loss: 0.786095, acc: 0.371094] 1778: [D loss: 0.688855, acc: 0.552734] [A loss: 0.975007, acc: 0.117188] 1779: [D loss: 0.682495, acc: 0.546875] [A loss: 0.838345, acc: 0.246094] 1780: [D loss: 0.693255, acc: 0.562500] [A loss: 0.996291, acc: 0.082031] 1781: [D loss: 0.678324, acc: 0.574219] [A loss: 0.818207, acc: 0.312500] 1782: [D loss: 0.707742, acc: 0.537109] [A loss: 1.093368, acc: 0.046875] 1783: [D loss: 0.686128, acc: 0.554688] [A loss: 0.761083, acc: 0.355469] 1784: [D loss: 0.694294, acc: 0.539062] [A loss: 1.017781, acc: 0.101562] 1785: [D loss: 0.683426, acc: 0.533203] [A loss: 0.793865, acc: 0.367188] 1786: [D loss: 0.689192, acc: 0.558594] [A loss: 0.978966, acc: 0.113281] 1787: [D loss: 0.687648, acc: 0.546875] [A loss: 0.698909, acc: 0.531250] 1788: [D loss: 0.704527, acc: 0.533203] [A loss: 1.000232, acc: 0.078125] 1789: [D loss: 0.690810, acc: 0.548828] [A loss: 0.755885, acc: 0.449219] 1790: [D loss: 0.702760, acc: 0.562500] [A loss: 0.997230, acc: 0.089844] 1791: [D loss: 0.707839, acc: 0.503906] [A loss: 0.790584, acc: 0.328125] 1792: [D loss: 0.702429, acc: 0.554688] [A loss: 0.954619, acc: 0.085938] 1793: [D loss: 0.682940, acc: 0.550781] [A loss: 0.803995, acc: 0.300781] 1794: [D loss: 0.702005, acc: 0.505859] [A loss: 0.921420, acc: 0.136719] 1795: [D loss: 0.684101, acc: 0.564453] [A loss: 0.847664, acc: 0.246094] 1796: [D loss: 0.696560, acc: 0.556641] [A loss: 0.990640, acc: 0.074219] 1797: [D loss: 0.692279, acc: 0.562500] [A loss: 0.679282, acc: 0.539062] 1798: [D loss: 0.713516, acc: 0.529297] [A loss: 1.037880, acc: 0.054688] 1799: [D loss: 0.684110, acc: 0.537109] [A loss: 0.737488, acc: 0.410156] 1800: [D loss: 0.700327, acc: 0.574219] [A loss: 0.884378, acc: 0.156250] 1801: [D loss: 0.708089, acc: 0.515625] [A loss: 0.849130, acc: 0.234375] 1802: [D loss: 0.693427, acc: 0.542969] [A loss: 0.930752, acc: 0.144531] 1803: [D loss: 0.677685, acc: 0.564453] [A loss: 0.807575, acc: 0.308594] 1804: [D loss: 0.687729, acc: 0.558594] [A loss: 0.978957, acc: 0.101562] 1805: [D loss: 0.683178, acc: 0.576172] [A loss: 0.681525, acc: 0.531250] 1806: [D loss: 0.720563, acc: 0.509766] [A loss: 1.077308, acc: 0.039062] 1807: [D loss: 0.685729, acc: 0.542969] [A loss: 0.699428, acc: 0.523438] 1808: [D loss: 0.722051, acc: 0.515625] [A loss: 0.911793, acc: 0.109375] 1809: [D loss: 0.682311, acc: 0.566406] [A loss: 0.812836, acc: 0.253906] 1810: [D loss: 0.681430, acc: 0.572266] [A loss: 0.932055, acc: 0.117188] 1811: [D loss: 0.678574, acc: 0.550781] [A loss: 0.842912, acc: 0.242188] 1812: [D loss: 0.686507, acc: 0.572266] [A loss: 0.958136, acc: 0.113281] 1813: [D loss: 0.682399, acc: 0.544922] [A loss: 0.857964, acc: 0.234375] 1814: [D loss: 0.693358, acc: 0.550781] [A loss: 0.953142, acc: 0.097656] 1815: [D loss: 0.677774, acc: 0.578125] [A loss: 0.832073, acc: 0.246094] 1816: [D loss: 0.705455, acc: 0.523438] [A loss: 0.941573, acc: 0.117188] 1817: [D loss: 0.689073, acc: 0.529297] [A loss: 0.816333, acc: 0.292969] 1818: [D loss: 0.686955, acc: 0.544922] [A loss: 0.925566, acc: 0.164062] 1819: [D loss: 0.698593, acc: 0.507812] [A loss: 0.787171, acc: 0.320312] 1820: [D loss: 0.689762, acc: 0.558594] [A loss: 0.953833, acc: 0.101562] 1821: [D loss: 0.694311, acc: 0.535156] [A loss: 0.790502, acc: 0.351562] 1822: [D loss: 0.687375, acc: 0.546875] [A loss: 0.945136, acc: 0.136719] 1823: [D loss: 0.685758, acc: 0.539062] [A loss: 0.845899, acc: 0.226562] 1824: [D loss: 0.687738, acc: 0.556641] [A loss: 0.925745, acc: 0.167969] 1825: [D loss: 0.697597, acc: 0.541016] [A loss: 0.807426, acc: 0.289062] 1826: [D loss: 0.686654, acc: 0.566406] [A loss: 1.037363, acc: 0.066406] 1827: [D loss: 0.695078, acc: 0.525391] [A loss: 0.744936, acc: 0.390625] 1828: [D loss: 0.708631, acc: 0.500000] [A loss: 1.023402, acc: 0.054688] 1829: [D loss: 0.683110, acc: 0.558594] [A loss: 0.672101, acc: 0.554688] 1830: [D loss: 0.715410, acc: 0.542969] [A loss: 1.066637, acc: 0.050781] 1831: [D loss: 0.694239, acc: 0.521484] [A loss: 0.741603, acc: 0.417969] 1832: [D loss: 0.720164, acc: 0.494141] [A loss: 0.952001, acc: 0.097656] 1833: [D loss: 0.712168, acc: 0.484375] [A loss: 0.753248, acc: 0.386719] 1834: [D loss: 0.711862, acc: 0.509766] [A loss: 0.919605, acc: 0.140625] 1835: [D loss: 0.690597, acc: 0.513672] [A loss: 0.785527, acc: 0.328125] 1836: [D loss: 0.694892, acc: 0.531250] [A loss: 0.960236, acc: 0.109375] 1837: [D loss: 0.675337, acc: 0.576172] [A loss: 0.756787, acc: 0.398438] 1838: [D loss: 0.692394, acc: 0.572266] [A loss: 0.959637, acc: 0.128906] 1839: [D loss: 0.690196, acc: 0.513672] [A loss: 0.735428, acc: 0.429688] 1840: [D loss: 0.700659, acc: 0.531250] [A loss: 1.027076, acc: 0.074219] 1841: [D loss: 0.672719, acc: 0.570312] [A loss: 0.720108, acc: 0.457031] 1842: [D loss: 0.715681, acc: 0.523438] [A loss: 1.025834, acc: 0.078125] 1843: [D loss: 0.686169, acc: 0.544922] [A loss: 0.671334, acc: 0.574219] 1844: [D loss: 0.710030, acc: 0.511719] [A loss: 0.974167, acc: 0.078125] 1845: [D loss: 0.680179, acc: 0.574219] [A loss: 0.725378, acc: 0.464844] 1846: [D loss: 0.699864, acc: 0.533203] [A loss: 0.856175, acc: 0.187500] 1847: [D loss: 0.679330, acc: 0.597656] [A loss: 0.861306, acc: 0.195312] 1848: [D loss: 0.696876, acc: 0.541016] [A loss: 0.924163, acc: 0.175781] 1849: [D loss: 0.682384, acc: 0.560547] [A loss: 0.799059, acc: 0.277344] 1850: [D loss: 0.699705, acc: 0.521484] [A loss: 0.951702, acc: 0.074219] 1851: [D loss: 0.670630, acc: 0.595703] [A loss: 0.737293, acc: 0.367188] 1852: [D loss: 0.686261, acc: 0.535156] [A loss: 0.915714, acc: 0.167969] 1853: [D loss: 0.669950, acc: 0.582031] [A loss: 0.809120, acc: 0.273438] 1854: [D loss: 0.691968, acc: 0.525391] [A loss: 0.928954, acc: 0.179688] 1855: [D loss: 0.681925, acc: 0.578125] [A loss: 0.847825, acc: 0.234375] 1856: [D loss: 0.690815, acc: 0.566406] [A loss: 0.855429, acc: 0.210938] 1857: [D loss: 0.703783, acc: 0.523438] [A loss: 0.838240, acc: 0.218750] 1858: [D loss: 0.684913, acc: 0.566406] [A loss: 0.910733, acc: 0.187500] 1859: [D loss: 0.690030, acc: 0.542969] [A loss: 0.868861, acc: 0.234375] 1860: [D loss: 0.690081, acc: 0.580078] [A loss: 0.897543, acc: 0.128906] 1861: [D loss: 0.691673, acc: 0.544922] [A loss: 0.917479, acc: 0.140625] 1862: [D loss: 0.686394, acc: 0.576172] [A loss: 0.862902, acc: 0.246094] 1863: [D loss: 0.681117, acc: 0.552734] [A loss: 0.900706, acc: 0.171875] 1864: [D loss: 0.682031, acc: 0.550781] [A loss: 0.884491, acc: 0.199219] 1865: [D loss: 0.702851, acc: 0.531250] [A loss: 0.839972, acc: 0.238281] 1866: [D loss: 0.679177, acc: 0.572266] [A loss: 0.951498, acc: 0.144531] 1867: [D loss: 0.689231, acc: 0.568359] [A loss: 0.873235, acc: 0.226562] 1868: [D loss: 0.685264, acc: 0.556641] [A loss: 0.950253, acc: 0.128906] 1869: [D loss: 0.686435, acc: 0.566406] [A loss: 0.827325, acc: 0.296875] 1870: [D loss: 0.701678, acc: 0.529297] [A loss: 1.077840, acc: 0.054688] 1871: [D loss: 0.696155, acc: 0.517578] [A loss: 0.585795, acc: 0.730469] 1872: [D loss: 0.719169, acc: 0.515625] [A loss: 1.127481, acc: 0.054688] 1873: [D loss: 0.693512, acc: 0.564453] [A loss: 0.680234, acc: 0.542969] 1874: [D loss: 0.727318, acc: 0.515625] [A loss: 0.911348, acc: 0.160156] 1875: [D loss: 0.684693, acc: 0.554688] [A loss: 0.787172, acc: 0.355469] 1876: [D loss: 0.705137, acc: 0.531250] [A loss: 0.916818, acc: 0.128906] 1877: [D loss: 0.686326, acc: 0.533203] [A loss: 0.825014, acc: 0.261719] 1878: [D loss: 0.690403, acc: 0.552734] [A loss: 0.915964, acc: 0.164062] 1879: [D loss: 0.683031, acc: 0.558594] [A loss: 0.799715, acc: 0.304688] 1880: [D loss: 0.692008, acc: 0.529297] [A loss: 0.965714, acc: 0.125000] 1881: [D loss: 0.683971, acc: 0.572266] [A loss: 0.790436, acc: 0.351562] 1882: [D loss: 0.701981, acc: 0.531250] [A loss: 1.021036, acc: 0.082031] 1883: [D loss: 0.689768, acc: 0.529297] [A loss: 0.760042, acc: 0.371094] 1884: [D loss: 0.705592, acc: 0.548828] [A loss: 0.959673, acc: 0.093750] 1885: [D loss: 0.681258, acc: 0.550781] [A loss: 0.798966, acc: 0.308594] 1886: [D loss: 0.700446, acc: 0.542969] [A loss: 1.001252, acc: 0.074219] 1887: [D loss: 0.689943, acc: 0.554688] [A loss: 0.770878, acc: 0.355469] 1888: [D loss: 0.699221, acc: 0.529297] [A loss: 0.945622, acc: 0.136719] 1889: [D loss: 0.685274, acc: 0.562500] [A loss: 0.779240, acc: 0.367188] 1890: [D loss: 0.697780, acc: 0.521484] [A loss: 1.032620, acc: 0.082031] 1891: [D loss: 0.691614, acc: 0.519531] [A loss: 0.761982, acc: 0.398438] 1892: [D loss: 0.679849, acc: 0.580078] [A loss: 0.900456, acc: 0.191406] 1893: [D loss: 0.700421, acc: 0.527344] [A loss: 0.807158, acc: 0.289062] 1894: [D loss: 0.702318, acc: 0.537109] [A loss: 0.959720, acc: 0.101562] 1895: [D loss: 0.690314, acc: 0.527344] [A loss: 0.820306, acc: 0.261719] 1896: [D loss: 0.685598, acc: 0.560547] [A loss: 0.936550, acc: 0.117188] 1897: [D loss: 0.703772, acc: 0.494141] [A loss: 0.743618, acc: 0.406250] 1898: [D loss: 0.690320, acc: 0.554688] [A loss: 0.921711, acc: 0.125000] 1899: [D loss: 0.696046, acc: 0.562500] [A loss: 0.819878, acc: 0.207031] 1900: [D loss: 0.705851, acc: 0.544922] [A loss: 1.040452, acc: 0.054688] 1901: [D loss: 0.685914, acc: 0.546875] [A loss: 0.770733, acc: 0.406250] 1902: [D loss: 0.690022, acc: 0.541016] [A loss: 0.933494, acc: 0.132812] 1903: [D loss: 0.683417, acc: 0.554688] [A loss: 0.726393, acc: 0.488281] 1904: [D loss: 0.698460, acc: 0.529297] [A loss: 0.970002, acc: 0.105469] 1905: [D loss: 0.684753, acc: 0.556641] [A loss: 0.774017, acc: 0.394531] 1906: [D loss: 0.697372, acc: 0.554688] [A loss: 1.002551, acc: 0.074219] 1907: [D loss: 0.696555, acc: 0.548828] [A loss: 0.717103, acc: 0.496094] 1908: [D loss: 0.710748, acc: 0.507812] [A loss: 1.069417, acc: 0.054688] 1909: [D loss: 0.688568, acc: 0.562500] [A loss: 0.710822, acc: 0.507812] 1910: [D loss: 0.714790, acc: 0.511719] [A loss: 1.036389, acc: 0.058594] 1911: [D loss: 0.683272, acc: 0.556641] [A loss: 0.737268, acc: 0.425781] 1912: [D loss: 0.706034, acc: 0.544922] [A loss: 0.918385, acc: 0.179688] 1913: [D loss: 0.697003, acc: 0.523438] [A loss: 0.775619, acc: 0.343750] 1914: [D loss: 0.697332, acc: 0.531250] [A loss: 0.938804, acc: 0.125000] 1915: [D loss: 0.683920, acc: 0.562500] [A loss: 0.757568, acc: 0.378906] 1916: [D loss: 0.706094, acc: 0.496094] [A loss: 1.027614, acc: 0.082031] 1917: [D loss: 0.693930, acc: 0.539062] [A loss: 0.768475, acc: 0.335938] 1918: [D loss: 0.698333, acc: 0.515625] [A loss: 0.973739, acc: 0.093750] 1919: [D loss: 0.683500, acc: 0.566406] [A loss: 0.772875, acc: 0.378906] 1920: [D loss: 0.700900, acc: 0.521484] [A loss: 0.944250, acc: 0.125000] 1921: [D loss: 0.674955, acc: 0.591797] [A loss: 0.792789, acc: 0.312500] 1922: [D loss: 0.696516, acc: 0.537109] [A loss: 0.943522, acc: 0.144531] 1923: [D loss: 0.687113, acc: 0.542969] [A loss: 0.797357, acc: 0.328125] 1924: [D loss: 0.710426, acc: 0.509766] [A loss: 0.882943, acc: 0.164062] 1925: [D loss: 0.699360, acc: 0.517578] [A loss: 0.895782, acc: 0.160156] 1926: [D loss: 0.714789, acc: 0.494141] [A loss: 0.805521, acc: 0.332031] 1927: [D loss: 0.690126, acc: 0.531250] [A loss: 0.998338, acc: 0.082031] 1928: [D loss: 0.686438, acc: 0.558594] [A loss: 0.717539, acc: 0.472656] 1929: [D loss: 0.719327, acc: 0.521484] [A loss: 1.064410, acc: 0.050781] 1930: [D loss: 0.691906, acc: 0.550781] [A loss: 0.670589, acc: 0.585938] 1931: [D loss: 0.722079, acc: 0.535156] [A loss: 0.985069, acc: 0.066406] 1932: [D loss: 0.689371, acc: 0.556641] [A loss: 0.743673, acc: 0.414062] 1933: [D loss: 0.695377, acc: 0.542969] [A loss: 0.929265, acc: 0.128906] 1934: [D loss: 0.704198, acc: 0.519531] [A loss: 0.756316, acc: 0.402344] 1935: [D loss: 0.696473, acc: 0.525391] [A loss: 0.918871, acc: 0.128906] 1936: [D loss: 0.688784, acc: 0.568359] [A loss: 0.787940, acc: 0.328125] 1937: [D loss: 0.711818, acc: 0.519531] [A loss: 0.952788, acc: 0.117188] 1938: [D loss: 0.685719, acc: 0.542969] [A loss: 0.762797, acc: 0.386719] 1939: [D loss: 0.711364, acc: 0.507812] [A loss: 0.934688, acc: 0.105469] 1940: [D loss: 0.690932, acc: 0.556641] [A loss: 0.765843, acc: 0.343750] 1941: [D loss: 0.700983, acc: 0.519531] [A loss: 0.938756, acc: 0.113281] 1942: [D loss: 0.682289, acc: 0.556641] [A loss: 0.795799, acc: 0.304688] 1943: [D loss: 0.703648, acc: 0.525391] [A loss: 0.941583, acc: 0.136719] 1944: [D loss: 0.692324, acc: 0.529297] [A loss: 0.825347, acc: 0.269531] 1945: [D loss: 0.698591, acc: 0.531250] [A loss: 0.906368, acc: 0.128906] 1946: [D loss: 0.681753, acc: 0.566406] [A loss: 0.821766, acc: 0.234375] 1947: [D loss: 0.701430, acc: 0.542969] [A loss: 0.972992, acc: 0.089844] 1948: [D loss: 0.677731, acc: 0.572266] [A loss: 0.774927, acc: 0.347656] 1949: [D loss: 0.685791, acc: 0.541016] [A loss: 0.981159, acc: 0.128906] 1950: [D loss: 0.699621, acc: 0.503906] [A loss: 0.737087, acc: 0.437500] 1951: [D loss: 0.698679, acc: 0.523438] [A loss: 0.941704, acc: 0.113281] 1952: [D loss: 0.695628, acc: 0.539062] [A loss: 0.838108, acc: 0.265625] 1953: [D loss: 0.700233, acc: 0.519531] [A loss: 0.927568, acc: 0.117188] 1954: [D loss: 0.700048, acc: 0.515625] [A loss: 0.864315, acc: 0.171875] 1955: [D loss: 0.688835, acc: 0.542969] [A loss: 0.887647, acc: 0.171875] 1956: [D loss: 0.687842, acc: 0.564453] [A loss: 0.846426, acc: 0.218750] 1957: [D loss: 0.694170, acc: 0.541016] [A loss: 0.931291, acc: 0.156250] 1958: [D loss: 0.704998, acc: 0.531250] [A loss: 0.845203, acc: 0.269531] 1959: [D loss: 0.682591, acc: 0.574219] [A loss: 0.882178, acc: 0.187500] 1960: [D loss: 0.677067, acc: 0.591797] [A loss: 0.822044, acc: 0.285156] 1961: [D loss: 0.689653, acc: 0.548828] [A loss: 0.974095, acc: 0.101562] 1962: [D loss: 0.692908, acc: 0.539062] [A loss: 0.801539, acc: 0.312500] 1963: [D loss: 0.702081, acc: 0.535156] [A loss: 1.007370, acc: 0.070312] 1964: [D loss: 0.692706, acc: 0.552734] [A loss: 0.714485, acc: 0.488281] 1965: [D loss: 0.696791, acc: 0.544922] [A loss: 0.988679, acc: 0.109375] 1966: [D loss: 0.675251, acc: 0.566406] [A loss: 0.722671, acc: 0.464844] 1967: [D loss: 0.710410, acc: 0.511719] [A loss: 0.986629, acc: 0.093750] 1968: [D loss: 0.683727, acc: 0.562500] [A loss: 0.727912, acc: 0.449219] 1969: [D loss: 0.694754, acc: 0.546875] [A loss: 1.023686, acc: 0.074219] 1970: [D loss: 0.683529, acc: 0.544922] [A loss: 0.776306, acc: 0.367188] 1971: [D loss: 0.692381, acc: 0.548828] [A loss: 0.908184, acc: 0.183594] 1972: [D loss: 0.685739, acc: 0.550781] [A loss: 0.765249, acc: 0.355469] 1973: [D loss: 0.699221, acc: 0.546875] [A loss: 0.945599, acc: 0.132812] 1974: [D loss: 0.689279, acc: 0.558594] [A loss: 0.761553, acc: 0.390625] 1975: [D loss: 0.703412, acc: 0.517578] [A loss: 1.050528, acc: 0.050781] 1976: [D loss: 0.689086, acc: 0.541016] [A loss: 0.666759, acc: 0.582031] 1977: [D loss: 0.709531, acc: 0.531250] [A loss: 0.987843, acc: 0.074219] 1978: [D loss: 0.683575, acc: 0.558594] [A loss: 0.772053, acc: 0.359375] 1979: [D loss: 0.714175, acc: 0.527344] [A loss: 0.891608, acc: 0.203125] 1980: [D loss: 0.680645, acc: 0.560547] [A loss: 0.742806, acc: 0.464844] 1981: [D loss: 0.692493, acc: 0.554688] [A loss: 0.938731, acc: 0.113281] 1982: [D loss: 0.683303, acc: 0.566406] [A loss: 0.765168, acc: 0.382812] 1983: [D loss: 0.710958, acc: 0.527344] [A loss: 0.973770, acc: 0.093750] 1984: [D loss: 0.683640, acc: 0.552734] [A loss: 0.751030, acc: 0.378906] 1985: [D loss: 0.703132, acc: 0.539062] [A loss: 0.937718, acc: 0.144531] 1986: [D loss: 0.695030, acc: 0.529297] [A loss: 0.767940, acc: 0.371094] 1987: [D loss: 0.697753, acc: 0.531250] [A loss: 0.881236, acc: 0.171875] 1988: [D loss: 0.684095, acc: 0.542969] [A loss: 0.803392, acc: 0.292969] 1989: [D loss: 0.692676, acc: 0.544922] [A loss: 0.842893, acc: 0.242188] 1990: [D loss: 0.692766, acc: 0.541016] [A loss: 0.835850, acc: 0.214844] 1991: [D loss: 0.696518, acc: 0.533203] [A loss: 0.828373, acc: 0.230469] 1992: [D loss: 0.689373, acc: 0.562500] [A loss: 0.840036, acc: 0.253906] 1993: [D loss: 0.686976, acc: 0.564453] [A loss: 0.910537, acc: 0.132812] 1994: [D loss: 0.685883, acc: 0.541016] [A loss: 0.828282, acc: 0.234375] 1995: [D loss: 0.686332, acc: 0.548828] [A loss: 1.018657, acc: 0.074219] 1996: [D loss: 0.684254, acc: 0.558594] [A loss: 0.718962, acc: 0.492188] 1997: [D loss: 0.713587, acc: 0.501953] [A loss: 1.022630, acc: 0.062500] 1998: [D loss: 0.673731, acc: 0.562500] [A loss: 0.662067, acc: 0.617188] 1999: [D loss: 0.722547, acc: 0.503906] [A loss: 0.978831, acc: 0.078125] 2000: [D loss: 0.682102, acc: 0.568359] [A loss: 0.721699, acc: 0.433594] 2001: [D loss: 0.703303, acc: 0.513672] [A loss: 0.909683, acc: 0.121094] 2002: [D loss: 0.698352, acc: 0.513672] [A loss: 0.744636, acc: 0.410156] 2003: [D loss: 0.691551, acc: 0.539062] [A loss: 0.830716, acc: 0.246094] 2004: [D loss: 0.694616, acc: 0.539062] [A loss: 0.877420, acc: 0.179688] 2005: [D loss: 0.680286, acc: 0.583984] [A loss: 0.833528, acc: 0.253906] 2006: [D loss: 0.685093, acc: 0.566406] [A loss: 0.836027, acc: 0.265625] 2007: [D loss: 0.691158, acc: 0.574219] [A loss: 0.946953, acc: 0.109375] 2008: [D loss: 0.680724, acc: 0.562500] [A loss: 0.711438, acc: 0.492188] 2009: [D loss: 0.701444, acc: 0.521484] [A loss: 0.998772, acc: 0.082031] 2010: [D loss: 0.688340, acc: 0.533203] [A loss: 0.746085, acc: 0.398438] 2011: [D loss: 0.692871, acc: 0.541016] [A loss: 0.933044, acc: 0.160156] 2012: [D loss: 0.675977, acc: 0.568359] [A loss: 0.795664, acc: 0.312500] 2013: [D loss: 0.702149, acc: 0.527344] [A loss: 0.866505, acc: 0.210938] 2014: [D loss: 0.697370, acc: 0.541016] [A loss: 0.883657, acc: 0.125000] 2015: [D loss: 0.690719, acc: 0.554688] [A loss: 0.824129, acc: 0.253906] 2016: [D loss: 0.682173, acc: 0.576172] [A loss: 0.848030, acc: 0.253906] 2017: [D loss: 0.686574, acc: 0.554688] [A loss: 0.828511, acc: 0.269531] 2018: [D loss: 0.691016, acc: 0.550781] [A loss: 0.923744, acc: 0.128906] 2019: [D loss: 0.682580, acc: 0.533203] [A loss: 0.694040, acc: 0.519531] 2020: [D loss: 0.702512, acc: 0.539062] [A loss: 0.983576, acc: 0.062500] 2021: [D loss: 0.687117, acc: 0.562500] [A loss: 0.745969, acc: 0.367188] 2022: [D loss: 0.689134, acc: 0.552734] [A loss: 0.916206, acc: 0.148438] 2023: [D loss: 0.686576, acc: 0.556641] [A loss: 0.753627, acc: 0.386719] 2024: [D loss: 0.691930, acc: 0.542969] [A loss: 0.913467, acc: 0.156250] 2025: [D loss: 0.681415, acc: 0.591797] [A loss: 0.794607, acc: 0.316406] 2026: [D loss: 0.705332, acc: 0.509766] [A loss: 0.979436, acc: 0.097656] 2027: [D loss: 0.695916, acc: 0.542969] [A loss: 0.722572, acc: 0.488281] 2028: [D loss: 0.700807, acc: 0.527344] [A loss: 0.960928, acc: 0.105469] 2029: [D loss: 0.684075, acc: 0.550781] [A loss: 0.701312, acc: 0.511719] 2030: [D loss: 0.705980, acc: 0.531250] [A loss: 0.927988, acc: 0.152344] 2031: [D loss: 0.688470, acc: 0.556641] [A loss: 0.756538, acc: 0.386719] 2032: [D loss: 0.727152, acc: 0.523438] [A loss: 0.932331, acc: 0.148438] 2033: [D loss: 0.686450, acc: 0.552734] [A loss: 0.767537, acc: 0.363281] 2034: [D loss: 0.687793, acc: 0.542969] [A loss: 0.914390, acc: 0.136719] 2035: [D loss: 0.686042, acc: 0.537109] [A loss: 0.759158, acc: 0.371094] 2036: [D loss: 0.703925, acc: 0.539062] [A loss: 0.948154, acc: 0.113281] 2037: [D loss: 0.690686, acc: 0.533203] [A loss: 0.742236, acc: 0.390625] 2038: [D loss: 0.694273, acc: 0.550781] [A loss: 0.902515, acc: 0.136719] 2039: [D loss: 0.689807, acc: 0.539062] [A loss: 0.762318, acc: 0.390625] 2040: [D loss: 0.699021, acc: 0.554688] [A loss: 0.851395, acc: 0.242188] 2041: [D loss: 0.680444, acc: 0.562500] [A loss: 0.890664, acc: 0.199219] 2042: [D loss: 0.671043, acc: 0.599609] [A loss: 0.847209, acc: 0.261719] 2043: [D loss: 0.689360, acc: 0.576172] [A loss: 0.851224, acc: 0.234375] 2044: [D loss: 0.681795, acc: 0.568359] [A loss: 0.819672, acc: 0.269531] 2045: [D loss: 0.702299, acc: 0.509766] [A loss: 0.846979, acc: 0.210938] 2046: [D loss: 0.690159, acc: 0.531250] [A loss: 0.903636, acc: 0.148438] 2047: [D loss: 0.691804, acc: 0.570312] [A loss: 0.795565, acc: 0.300781] 2048: [D loss: 0.685581, acc: 0.560547] [A loss: 0.890613, acc: 0.164062] 2049: [D loss: 0.688732, acc: 0.552734] [A loss: 0.878628, acc: 0.195312] 2050: [D loss: 0.694529, acc: 0.562500] [A loss: 0.949940, acc: 0.097656] 2051: [D loss: 0.687901, acc: 0.554688] [A loss: 0.767700, acc: 0.351562] 2052: [D loss: 0.701986, acc: 0.529297] [A loss: 1.022668, acc: 0.050781] 2053: [D loss: 0.684990, acc: 0.548828] [A loss: 0.647347, acc: 0.652344] 2054: [D loss: 0.727219, acc: 0.519531] [A loss: 1.038355, acc: 0.046875] 2055: [D loss: 0.684887, acc: 0.533203] [A loss: 0.676659, acc: 0.574219] 2056: [D loss: 0.727205, acc: 0.490234] [A loss: 0.963401, acc: 0.113281] 2057: [D loss: 0.683310, acc: 0.548828] [A loss: 0.785355, acc: 0.324219] 2058: [D loss: 0.683846, acc: 0.570312] [A loss: 0.874405, acc: 0.179688] 2059: [D loss: 0.696842, acc: 0.537109] [A loss: 0.762359, acc: 0.410156] 2060: [D loss: 0.682550, acc: 0.548828] [A loss: 0.904110, acc: 0.152344] 2061: [D loss: 0.676003, acc: 0.580078] [A loss: 0.790012, acc: 0.320312] 2062: [D loss: 0.710643, acc: 0.519531] [A loss: 0.865868, acc: 0.242188] 2063: [D loss: 0.681612, acc: 0.572266] [A loss: 0.850378, acc: 0.214844] 2064: [D loss: 0.690587, acc: 0.533203] [A loss: 0.914032, acc: 0.152344] 2065: [D loss: 0.688726, acc: 0.548828] [A loss: 0.735893, acc: 0.429688] 2066: [D loss: 0.696801, acc: 0.541016] [A loss: 0.975188, acc: 0.105469] 2067: [D loss: 0.675632, acc: 0.556641] [A loss: 0.768905, acc: 0.398438] 2068: [D loss: 0.703013, acc: 0.519531] [A loss: 0.959459, acc: 0.152344] 2069: [D loss: 0.685127, acc: 0.562500] [A loss: 0.734445, acc: 0.441406] 2070: [D loss: 0.701105, acc: 0.537109] [A loss: 0.934098, acc: 0.117188] 2071: [D loss: 0.671496, acc: 0.585938] [A loss: 0.786824, acc: 0.296875] 2072: [D loss: 0.696319, acc: 0.560547] [A loss: 0.957776, acc: 0.093750] 2073: [D loss: 0.684745, acc: 0.560547] [A loss: 0.840622, acc: 0.230469] 2074: [D loss: 0.704247, acc: 0.531250] [A loss: 0.900605, acc: 0.140625] 2075: [D loss: 0.677018, acc: 0.576172] [A loss: 0.808537, acc: 0.312500] 2076: [D loss: 0.685475, acc: 0.593750] [A loss: 0.900743, acc: 0.175781] 2077: [D loss: 0.676571, acc: 0.576172] [A loss: 0.819546, acc: 0.246094] 2078: [D loss: 0.675948, acc: 0.548828] [A loss: 0.873607, acc: 0.234375] 2079: [D loss: 0.687431, acc: 0.539062] [A loss: 0.869134, acc: 0.210938] 2080: [D loss: 0.677093, acc: 0.554688] [A loss: 0.867500, acc: 0.230469] 2081: [D loss: 0.686329, acc: 0.554688] [A loss: 0.868747, acc: 0.246094] 2082: [D loss: 0.686967, acc: 0.525391] [A loss: 0.869716, acc: 0.222656] 2083: [D loss: 0.683915, acc: 0.566406] [A loss: 0.952610, acc: 0.121094] 2084: [D loss: 0.692769, acc: 0.525391] [A loss: 0.782181, acc: 0.339844] 2085: [D loss: 0.688764, acc: 0.541016] [A loss: 0.981435, acc: 0.136719] 2086: [D loss: 0.695572, acc: 0.535156] [A loss: 0.727522, acc: 0.464844] 2087: [D loss: 0.701435, acc: 0.525391] [A loss: 1.094004, acc: 0.050781] 2088: [D loss: 0.685999, acc: 0.562500] [A loss: 0.714061, acc: 0.480469] 2089: [D loss: 0.730372, acc: 0.484375] [A loss: 0.908528, acc: 0.121094] 2090: [D loss: 0.688500, acc: 0.533203] [A loss: 0.781750, acc: 0.324219] 2091: [D loss: 0.702702, acc: 0.523438] [A loss: 0.960293, acc: 0.089844] 2092: [D loss: 0.696336, acc: 0.492188] [A loss: 0.674220, acc: 0.585938] 2093: [D loss: 0.722185, acc: 0.521484] [A loss: 1.001858, acc: 0.089844] 2094: [D loss: 0.686099, acc: 0.535156] [A loss: 0.756514, acc: 0.398438] 2095: [D loss: 0.707554, acc: 0.527344] [A loss: 0.884311, acc: 0.183594] 2096: [D loss: 0.691583, acc: 0.539062] [A loss: 0.789835, acc: 0.308594] 2097: [D loss: 0.684227, acc: 0.562500] [A loss: 0.868065, acc: 0.210938] 2098: [D loss: 0.698179, acc: 0.523438] [A loss: 0.778531, acc: 0.332031] 2099: [D loss: 0.689070, acc: 0.533203] [A loss: 0.855329, acc: 0.210938] 2100: [D loss: 0.690333, acc: 0.546875] [A loss: 0.803654, acc: 0.292969] 2101: [D loss: 0.700057, acc: 0.542969] [A loss: 0.874792, acc: 0.195312] 2102: [D loss: 0.693111, acc: 0.548828] [A loss: 0.835677, acc: 0.234375] 2103: [D loss: 0.682444, acc: 0.541016] [A loss: 0.896647, acc: 0.121094] 2104: [D loss: 0.689276, acc: 0.556641] [A loss: 0.772763, acc: 0.363281] 2105: [D loss: 0.699541, acc: 0.513672] [A loss: 0.965090, acc: 0.109375] 2106: [D loss: 0.703234, acc: 0.539062] [A loss: 0.703955, acc: 0.531250] 2107: [D loss: 0.702393, acc: 0.521484] [A loss: 0.986669, acc: 0.078125] 2108: [D loss: 0.692243, acc: 0.558594] [A loss: 0.682073, acc: 0.550781] 2109: [D loss: 0.703306, acc: 0.550781] [A loss: 0.907428, acc: 0.148438] 2110: [D loss: 0.688944, acc: 0.544922] [A loss: 0.759280, acc: 0.382812] 2111: [D loss: 0.700101, acc: 0.539062] [A loss: 0.904979, acc: 0.140625] 2112: [D loss: 0.691287, acc: 0.539062] [A loss: 0.793935, acc: 0.292969] 2113: [D loss: 0.717035, acc: 0.492188] [A loss: 0.864133, acc: 0.187500] 2114: [D loss: 0.687077, acc: 0.537109] [A loss: 0.844371, acc: 0.242188] 2115: [D loss: 0.697772, acc: 0.500000] [A loss: 0.811387, acc: 0.265625] 2116: [D loss: 0.709041, acc: 0.509766] [A loss: 0.889093, acc: 0.179688] 2117: [D loss: 0.687654, acc: 0.564453] [A loss: 0.756938, acc: 0.402344] 2118: [D loss: 0.709180, acc: 0.515625] [A loss: 0.932087, acc: 0.125000] 2119: [D loss: 0.689430, acc: 0.548828] [A loss: 0.756678, acc: 0.441406] 2120: [D loss: 0.699761, acc: 0.527344] [A loss: 0.897787, acc: 0.160156] 2121: [D loss: 0.704445, acc: 0.515625] [A loss: 0.789034, acc: 0.312500] 2122: [D loss: 0.707909, acc: 0.500000] [A loss: 0.902498, acc: 0.136719] 2123: [D loss: 0.687604, acc: 0.552734] [A loss: 0.789976, acc: 0.300781] 2124: [D loss: 0.681464, acc: 0.564453] [A loss: 0.855073, acc: 0.238281] 2125: [D loss: 0.678810, acc: 0.566406] [A loss: 0.778849, acc: 0.355469] 2126: [D loss: 0.695842, acc: 0.539062] [A loss: 0.877202, acc: 0.175781] 2127: [D loss: 0.702128, acc: 0.496094] [A loss: 0.864846, acc: 0.199219] 2128: [D loss: 0.691103, acc: 0.572266] [A loss: 0.912827, acc: 0.152344] 2129: [D loss: 0.694676, acc: 0.533203] [A loss: 0.752790, acc: 0.382812] 2130: [D loss: 0.715673, acc: 0.492188] [A loss: 0.947988, acc: 0.121094] 2131: [D loss: 0.698055, acc: 0.535156] [A loss: 0.711138, acc: 0.468750] 2132: [D loss: 0.719132, acc: 0.525391] [A loss: 1.010283, acc: 0.085938] 2133: [D loss: 0.679512, acc: 0.562500] [A loss: 0.745756, acc: 0.433594] 2134: [D loss: 0.693209, acc: 0.531250] [A loss: 0.885010, acc: 0.171875] 2135: [D loss: 0.679499, acc: 0.576172] [A loss: 0.842046, acc: 0.226562] 2136: [D loss: 0.695586, acc: 0.544922] [A loss: 0.863169, acc: 0.187500] 2137: [D loss: 0.683833, acc: 0.537109] [A loss: 0.791803, acc: 0.320312] 2138: [D loss: 0.694222, acc: 0.548828] [A loss: 0.899462, acc: 0.164062] 2139: [D loss: 0.693490, acc: 0.537109] [A loss: 0.787262, acc: 0.300781] 2140: [D loss: 0.711720, acc: 0.500000] [A loss: 0.854504, acc: 0.222656] 2141: [D loss: 0.679813, acc: 0.550781] [A loss: 0.825455, acc: 0.253906] 2142: [D loss: 0.698079, acc: 0.527344] [A loss: 0.915094, acc: 0.144531] 2143: [D loss: 0.670404, acc: 0.585938] [A loss: 0.841508, acc: 0.226562] 2144: [D loss: 0.695560, acc: 0.552734] [A loss: 0.915936, acc: 0.136719] 2145: [D loss: 0.679375, acc: 0.605469] [A loss: 0.743563, acc: 0.437500] 2146: [D loss: 0.703881, acc: 0.519531] [A loss: 0.921216, acc: 0.167969] 2147: [D loss: 0.686015, acc: 0.533203] [A loss: 0.738552, acc: 0.425781] 2148: [D loss: 0.693304, acc: 0.548828] [A loss: 0.925276, acc: 0.136719] 2149: [D loss: 0.689369, acc: 0.556641] [A loss: 0.748547, acc: 0.382812] 2150: [D loss: 0.701401, acc: 0.533203] [A loss: 0.887834, acc: 0.179688] 2151: [D loss: 0.677102, acc: 0.556641] [A loss: 0.852180, acc: 0.242188] 2152: [D loss: 0.684441, acc: 0.576172] [A loss: 0.880946, acc: 0.164062] 2153: [D loss: 0.711466, acc: 0.507812] [A loss: 0.820743, acc: 0.292969] 2154: [D loss: 0.687319, acc: 0.544922] [A loss: 0.864223, acc: 0.207031] 2155: [D loss: 0.693995, acc: 0.527344] [A loss: 0.850989, acc: 0.250000] 2156: [D loss: 0.678744, acc: 0.560547] [A loss: 0.774628, acc: 0.320312] 2157: [D loss: 0.680007, acc: 0.560547] [A loss: 0.962553, acc: 0.125000] 2158: [D loss: 0.684998, acc: 0.578125] [A loss: 0.727469, acc: 0.449219] 2159: [D loss: 0.715429, acc: 0.531250] [A loss: 0.927619, acc: 0.164062] 2160: [D loss: 0.689545, acc: 0.552734] [A loss: 0.800744, acc: 0.324219] 2161: [D loss: 0.714229, acc: 0.531250] [A loss: 1.038713, acc: 0.054688] 2162: [D loss: 0.683661, acc: 0.564453] [A loss: 0.709296, acc: 0.511719] 2163: [D loss: 0.713667, acc: 0.517578] [A loss: 0.923163, acc: 0.128906] 2164: [D loss: 0.692794, acc: 0.535156] [A loss: 0.741934, acc: 0.453125] 2165: [D loss: 0.700067, acc: 0.535156] [A loss: 0.943849, acc: 0.105469] 2166: [D loss: 0.690811, acc: 0.535156] [A loss: 0.710280, acc: 0.496094] 2167: [D loss: 0.700429, acc: 0.519531] [A loss: 0.929084, acc: 0.093750] 2168: [D loss: 0.691518, acc: 0.544922] [A loss: 0.747146, acc: 0.394531] 2169: [D loss: 0.696522, acc: 0.527344] [A loss: 0.892079, acc: 0.187500] 2170: [D loss: 0.687863, acc: 0.544922] [A loss: 0.812759, acc: 0.277344] 2171: [D loss: 0.690630, acc: 0.527344] [A loss: 0.816071, acc: 0.292969] 2172: [D loss: 0.700656, acc: 0.519531] [A loss: 0.849231, acc: 0.214844] 2173: [D loss: 0.697441, acc: 0.511719] [A loss: 0.837249, acc: 0.257812] 2174: [D loss: 0.689579, acc: 0.529297] [A loss: 0.855872, acc: 0.234375] 2175: [D loss: 0.684706, acc: 0.546875] [A loss: 0.839089, acc: 0.222656] 2176: [D loss: 0.690967, acc: 0.556641] [A loss: 0.926865, acc: 0.148438] 2177: [D loss: 0.682569, acc: 0.578125] [A loss: 0.714480, acc: 0.457031] 2178: [D loss: 0.706919, acc: 0.541016] [A loss: 1.032395, acc: 0.046875] 2179: [D loss: 0.693648, acc: 0.529297] [A loss: 0.709172, acc: 0.476562] 2180: [D loss: 0.723405, acc: 0.503906] [A loss: 0.915513, acc: 0.121094] 2181: [D loss: 0.687492, acc: 0.578125] [A loss: 0.827106, acc: 0.269531] 2182: [D loss: 0.700927, acc: 0.500000] [A loss: 0.805882, acc: 0.320312] 2183: [D loss: 0.699797, acc: 0.515625] [A loss: 0.892200, acc: 0.187500] 2184: [D loss: 0.694545, acc: 0.546875] [A loss: 0.780447, acc: 0.328125] 2185: [D loss: 0.702666, acc: 0.535156] [A loss: 0.906673, acc: 0.136719] 2186: [D loss: 0.692905, acc: 0.546875] [A loss: 0.822487, acc: 0.253906] 2187: [D loss: 0.684834, acc: 0.556641] [A loss: 0.804272, acc: 0.296875] 2188: [D loss: 0.690394, acc: 0.539062] [A loss: 0.890647, acc: 0.179688] 2189: [D loss: 0.689112, acc: 0.550781] [A loss: 0.885126, acc: 0.152344] 2190: [D loss: 0.695325, acc: 0.527344] [A loss: 0.805522, acc: 0.308594] 2191: [D loss: 0.695267, acc: 0.541016] [A loss: 0.907283, acc: 0.117188] 2192: [D loss: 0.686163, acc: 0.558594] [A loss: 0.800397, acc: 0.289062] 2193: [D loss: 0.705700, acc: 0.496094] [A loss: 0.963285, acc: 0.101562] 2194: [D loss: 0.677188, acc: 0.566406] [A loss: 0.713830, acc: 0.519531] 2195: [D loss: 0.704371, acc: 0.511719] [A loss: 0.966479, acc: 0.093750] 2196: [D loss: 0.680876, acc: 0.546875] [A loss: 0.715988, acc: 0.476562] 2197: [D loss: 0.705904, acc: 0.537109] [A loss: 0.970018, acc: 0.109375] 2198: [D loss: 0.692572, acc: 0.529297] [A loss: 0.711322, acc: 0.457031] 2199: [D loss: 0.713961, acc: 0.535156] [A loss: 0.899727, acc: 0.179688] 2200: [D loss: 0.677619, acc: 0.562500] [A loss: 0.766751, acc: 0.406250] 2201: [D loss: 0.714288, acc: 0.503906] [A loss: 0.961812, acc: 0.097656] 2202: [D loss: 0.687621, acc: 0.552734] [A loss: 0.757403, acc: 0.375000] 2203: [D loss: 0.700848, acc: 0.525391] [A loss: 0.923765, acc: 0.148438] 2204: [D loss: 0.688558, acc: 0.570312] [A loss: 0.747781, acc: 0.410156] 2205: [D loss: 0.708507, acc: 0.498047] [A loss: 0.975834, acc: 0.058594] 2206: [D loss: 0.673504, acc: 0.587891] [A loss: 0.725209, acc: 0.437500] 2207: [D loss: 0.709321, acc: 0.546875] [A loss: 0.898983, acc: 0.160156] 2208: [D loss: 0.685298, acc: 0.541016] [A loss: 0.796654, acc: 0.316406] 2209: [D loss: 0.685585, acc: 0.568359] [A loss: 0.862624, acc: 0.195312] 2210: [D loss: 0.673850, acc: 0.580078] [A loss: 0.778020, acc: 0.375000] 2211: [D loss: 0.694904, acc: 0.552734] [A loss: 0.889641, acc: 0.175781] 2212: [D loss: 0.692153, acc: 0.560547] [A loss: 0.860268, acc: 0.199219] 2213: [D loss: 0.684446, acc: 0.548828] [A loss: 0.936289, acc: 0.117188] 2214: [D loss: 0.670192, acc: 0.582031] [A loss: 0.746950, acc: 0.359375] 2215: [D loss: 0.693638, acc: 0.556641] [A loss: 0.999676, acc: 0.105469] 2216: [D loss: 0.687881, acc: 0.572266] [A loss: 0.682057, acc: 0.542969] 2217: [D loss: 0.706177, acc: 0.515625] [A loss: 1.012762, acc: 0.078125] 2218: [D loss: 0.692627, acc: 0.533203] [A loss: 0.699795, acc: 0.496094] 2219: [D loss: 0.711488, acc: 0.541016] [A loss: 0.924695, acc: 0.117188] 2220: [D loss: 0.687909, acc: 0.548828] [A loss: 0.766182, acc: 0.335938] 2221: [D loss: 0.695484, acc: 0.537109] [A loss: 0.960028, acc: 0.101562] 2222: [D loss: 0.686532, acc: 0.550781] [A loss: 0.743931, acc: 0.425781] 2223: [D loss: 0.696504, acc: 0.535156] [A loss: 0.941008, acc: 0.109375] 2224: [D loss: 0.700361, acc: 0.529297] [A loss: 0.766608, acc: 0.375000] 2225: [D loss: 0.702421, acc: 0.531250] [A loss: 0.884828, acc: 0.152344] 2226: [D loss: 0.699526, acc: 0.527344] [A loss: 0.774055, acc: 0.332031] 2227: [D loss: 0.691334, acc: 0.560547] [A loss: 0.870634, acc: 0.187500] 2228: [D loss: 0.678593, acc: 0.564453] [A loss: 0.780726, acc: 0.339844] 2229: [D loss: 0.692835, acc: 0.505859] [A loss: 0.893127, acc: 0.187500] 2230: [D loss: 0.686143, acc: 0.566406] [A loss: 0.818094, acc: 0.257812] 2231: [D loss: 0.686908, acc: 0.570312] [A loss: 0.811081, acc: 0.265625] 2232: [D loss: 0.693677, acc: 0.521484] [A loss: 0.850707, acc: 0.246094] 2233: [D loss: 0.684235, acc: 0.564453] [A loss: 0.795235, acc: 0.289062] 2234: [D loss: 0.681919, acc: 0.564453] [A loss: 0.919180, acc: 0.148438] 2235: [D loss: 0.693277, acc: 0.523438] [A loss: 0.802171, acc: 0.328125] 2236: [D loss: 0.691450, acc: 0.558594] [A loss: 0.908205, acc: 0.144531] 2237: [D loss: 0.679796, acc: 0.582031] [A loss: 0.811044, acc: 0.261719] 2238: [D loss: 0.700886, acc: 0.531250] [A loss: 0.964743, acc: 0.128906] 2239: [D loss: 0.688132, acc: 0.558594] [A loss: 0.783807, acc: 0.328125] 2240: [D loss: 0.685651, acc: 0.564453] [A loss: 0.938003, acc: 0.132812] 2241: [D loss: 0.703464, acc: 0.527344] [A loss: 0.837184, acc: 0.257812] 2242: [D loss: 0.690526, acc: 0.529297] [A loss: 0.818887, acc: 0.222656] 2243: [D loss: 0.696518, acc: 0.539062] [A loss: 0.854568, acc: 0.218750] 2244: [D loss: 0.704246, acc: 0.501953] [A loss: 0.866550, acc: 0.199219] 2245: [D loss: 0.686296, acc: 0.556641] [A loss: 0.889903, acc: 0.179688] 2246: [D loss: 0.684913, acc: 0.566406] [A loss: 0.835793, acc: 0.269531] 2247: [D loss: 0.700993, acc: 0.541016] [A loss: 0.918912, acc: 0.136719] 2248: [D loss: 0.693457, acc: 0.527344] [A loss: 0.854010, acc: 0.203125] 2249: [D loss: 0.699279, acc: 0.539062] [A loss: 0.900488, acc: 0.175781] 2250: [D loss: 0.700886, acc: 0.527344] [A loss: 0.867434, acc: 0.199219] 2251: [D loss: 0.670426, acc: 0.595703] [A loss: 0.928646, acc: 0.132812] 2252: [D loss: 0.681204, acc: 0.587891] [A loss: 0.726438, acc: 0.480469] 2253: [D loss: 0.727182, acc: 0.498047] [A loss: 1.072777, acc: 0.031250] 2254: [D loss: 0.690970, acc: 0.544922] [A loss: 0.659966, acc: 0.609375] 2255: [D loss: 0.730614, acc: 0.513672] [A loss: 0.995461, acc: 0.074219] 2256: [D loss: 0.693498, acc: 0.539062] [A loss: 0.708845, acc: 0.476562] 2257: [D loss: 0.706817, acc: 0.527344] [A loss: 0.910964, acc: 0.136719] 2258: [D loss: 0.688791, acc: 0.544922] [A loss: 0.765720, acc: 0.355469] 2259: [D loss: 0.704197, acc: 0.523438] [A loss: 0.835285, acc: 0.218750] 2260: [D loss: 0.692527, acc: 0.519531] [A loss: 0.792553, acc: 0.316406] 2261: [D loss: 0.690763, acc: 0.542969] [A loss: 0.831763, acc: 0.234375] 2262: [D loss: 0.690042, acc: 0.570312] [A loss: 0.822358, acc: 0.253906] 2263: [D loss: 0.692817, acc: 0.544922] [A loss: 0.889098, acc: 0.164062] 2264: [D loss: 0.687530, acc: 0.554688] [A loss: 0.797199, acc: 0.320312] 2265: [D loss: 0.698601, acc: 0.529297] [A loss: 0.881640, acc: 0.187500] 2266: [D loss: 0.679328, acc: 0.552734] [A loss: 0.781020, acc: 0.312500] 2267: [D loss: 0.700854, acc: 0.550781] [A loss: 0.905857, acc: 0.191406] 2268: [D loss: 0.691668, acc: 0.521484] [A loss: 0.740195, acc: 0.410156] 2269: [D loss: 0.708097, acc: 0.541016] [A loss: 1.057211, acc: 0.046875] 2270: [D loss: 0.695240, acc: 0.517578] [A loss: 0.666576, acc: 0.562500] 2271: [D loss: 0.716589, acc: 0.537109] [A loss: 0.950717, acc: 0.085938] 2272: [D loss: 0.708733, acc: 0.519531] [A loss: 0.765127, acc: 0.390625] 2273: [D loss: 0.704587, acc: 0.529297] [A loss: 0.873997, acc: 0.167969] 2274: [D loss: 0.689636, acc: 0.535156] [A loss: 0.769694, acc: 0.375000] 2275: [D loss: 0.698622, acc: 0.537109] [A loss: 0.864258, acc: 0.199219] 2276: [D loss: 0.690530, acc: 0.539062] [A loss: 0.782616, acc: 0.320312] 2277: [D loss: 0.715453, acc: 0.503906] [A loss: 0.914422, acc: 0.121094] 2278: [D loss: 0.692998, acc: 0.527344] [A loss: 0.730601, acc: 0.460938] 2279: [D loss: 0.715992, acc: 0.531250] [A loss: 0.949511, acc: 0.089844] 2280: [D loss: 0.689445, acc: 0.541016] [A loss: 0.742786, acc: 0.425781] 2281: [D loss: 0.718526, acc: 0.500000] [A loss: 0.935425, acc: 0.097656] 2282: [D loss: 0.679641, acc: 0.570312] [A loss: 0.762188, acc: 0.382812] 2283: [D loss: 0.690398, acc: 0.537109] [A loss: 0.864573, acc: 0.195312] 2284: [D loss: 0.682712, acc: 0.554688] [A loss: 0.821461, acc: 0.253906] 2285: [D loss: 0.689260, acc: 0.552734] [A loss: 0.864940, acc: 0.179688] 2286: [D loss: 0.691616, acc: 0.533203] [A loss: 0.802886, acc: 0.281250] 2287: [D loss: 0.689259, acc: 0.546875] [A loss: 0.946118, acc: 0.089844] 2288: [D loss: 0.682398, acc: 0.544922] [A loss: 0.754731, acc: 0.390625] 2289: [D loss: 0.693739, acc: 0.535156] [A loss: 0.912308, acc: 0.132812] 2290: [D loss: 0.683678, acc: 0.572266] [A loss: 0.713974, acc: 0.511719] 2291: [D loss: 0.691263, acc: 0.535156] [A loss: 0.941897, acc: 0.128906] 2292: [D loss: 0.685272, acc: 0.550781] [A loss: 0.768965, acc: 0.359375] 2293: [D loss: 0.684845, acc: 0.562500] [A loss: 0.870325, acc: 0.160156] 2294: [D loss: 0.680227, acc: 0.568359] [A loss: 0.814489, acc: 0.269531] 2295: [D loss: 0.690288, acc: 0.529297] [A loss: 0.898356, acc: 0.152344] 2296: [D loss: 0.687308, acc: 0.552734] [A loss: 0.784600, acc: 0.347656] 2297: [D loss: 0.690706, acc: 0.554688] [A loss: 0.925305, acc: 0.167969] 2298: [D loss: 0.693680, acc: 0.527344] [A loss: 0.730046, acc: 0.433594] 2299: [D loss: 0.720815, acc: 0.488281] [A loss: 0.982138, acc: 0.054688] 2300: [D loss: 0.690763, acc: 0.527344] [A loss: 0.648165, acc: 0.640625] 2301: [D loss: 0.723843, acc: 0.513672] [A loss: 0.967861, acc: 0.125000] 2302: [D loss: 0.703806, acc: 0.529297] [A loss: 0.677750, acc: 0.597656] 2303: [D loss: 0.715177, acc: 0.525391] [A loss: 0.851058, acc: 0.203125] 2304: [D loss: 0.700075, acc: 0.544922] [A loss: 0.777809, acc: 0.316406] 2305: [D loss: 0.693900, acc: 0.521484] [A loss: 0.857617, acc: 0.207031] 2306: [D loss: 0.697846, acc: 0.517578] [A loss: 0.784052, acc: 0.335938] 2307: [D loss: 0.688185, acc: 0.542969] [A loss: 0.866704, acc: 0.191406] 2308: [D loss: 0.684304, acc: 0.568359] [A loss: 0.785055, acc: 0.339844] 2309: [D loss: 0.697335, acc: 0.539062] [A loss: 0.860625, acc: 0.140625] 2310: [D loss: 0.679098, acc: 0.578125] [A loss: 0.766642, acc: 0.347656] 2311: [D loss: 0.701276, acc: 0.533203] [A loss: 0.943509, acc: 0.097656] 2312: [D loss: 0.692461, acc: 0.546875] [A loss: 0.762406, acc: 0.382812] 2313: [D loss: 0.710731, acc: 0.517578] [A loss: 0.938516, acc: 0.105469] 2314: [D loss: 0.702473, acc: 0.527344] [A loss: 0.753192, acc: 0.394531] 2315: [D loss: 0.706432, acc: 0.517578] [A loss: 0.895619, acc: 0.164062] 2316: [D loss: 0.705370, acc: 0.490234] [A loss: 0.744877, acc: 0.410156] 2317: [D loss: 0.704973, acc: 0.535156] [A loss: 0.913264, acc: 0.132812] 2318: [D loss: 0.685615, acc: 0.541016] [A loss: 0.869479, acc: 0.191406] 2319: [D loss: 0.690407, acc: 0.554688] [A loss: 0.780288, acc: 0.335938] 2320: [D loss: 0.700108, acc: 0.533203] [A loss: 0.881109, acc: 0.199219] 2321: [D loss: 0.690673, acc: 0.541016] [A loss: 0.767067, acc: 0.339844] 2322: [D loss: 0.681079, acc: 0.539062] [A loss: 0.934185, acc: 0.117188] 2323: [D loss: 0.691652, acc: 0.554688] [A loss: 0.750189, acc: 0.375000] 2324: [D loss: 0.691436, acc: 0.533203] [A loss: 0.927274, acc: 0.132812] 2325: [D loss: 0.693877, acc: 0.531250] [A loss: 0.774330, acc: 0.332031] 2326: [D loss: 0.688303, acc: 0.521484] [A loss: 0.833889, acc: 0.253906] 2327: [D loss: 0.691563, acc: 0.537109] [A loss: 0.852050, acc: 0.195312] 2328: [D loss: 0.691752, acc: 0.527344] [A loss: 0.777450, acc: 0.343750] 2329: [D loss: 0.703026, acc: 0.546875] [A loss: 0.934680, acc: 0.125000] 2330: [D loss: 0.690180, acc: 0.533203] [A loss: 0.774844, acc: 0.304688] 2331: [D loss: 0.701528, acc: 0.507812] [A loss: 0.888940, acc: 0.160156] 2332: [D loss: 0.691715, acc: 0.541016] [A loss: 0.788277, acc: 0.351562] 2333: [D loss: 0.694346, acc: 0.546875] [A loss: 0.881808, acc: 0.195312] 2334: [D loss: 0.670988, acc: 0.591797] [A loss: 0.804849, acc: 0.273438] 2335: [D loss: 0.697788, acc: 0.529297] [A loss: 0.882437, acc: 0.160156] 2336: [D loss: 0.697876, acc: 0.560547] [A loss: 0.807125, acc: 0.253906] 2337: [D loss: 0.692091, acc: 0.546875] [A loss: 0.837486, acc: 0.183594] 2338: [D loss: 0.693852, acc: 0.517578] [A loss: 0.812292, acc: 0.238281] 2339: [D loss: 0.701509, acc: 0.542969] [A loss: 0.844258, acc: 0.183594] 2340: [D loss: 0.686561, acc: 0.570312] [A loss: 0.848042, acc: 0.222656] 2341: [D loss: 0.683512, acc: 0.583984] [A loss: 0.851384, acc: 0.207031] 2342: [D loss: 0.691702, acc: 0.556641] [A loss: 0.817885, acc: 0.285156] 2343: [D loss: 0.704555, acc: 0.523438] [A loss: 0.860076, acc: 0.179688] 2344: [D loss: 0.692918, acc: 0.535156] [A loss: 0.854215, acc: 0.183594] 2345: [D loss: 0.708179, acc: 0.521484] [A loss: 0.894473, acc: 0.109375] 2346: [D loss: 0.688809, acc: 0.544922] [A loss: 0.840103, acc: 0.218750] 2347: [D loss: 0.676367, acc: 0.582031] [A loss: 0.899122, acc: 0.128906] 2348: [D loss: 0.690078, acc: 0.519531] [A loss: 0.810106, acc: 0.273438] 2349: [D loss: 0.691844, acc: 0.550781] [A loss: 0.857408, acc: 0.179688] 2350: [D loss: 0.694329, acc: 0.527344] [A loss: 0.846890, acc: 0.207031] 2351: [D loss: 0.675806, acc: 0.589844] [A loss: 0.841503, acc: 0.214844] 2352: [D loss: 0.699152, acc: 0.542969] [A loss: 0.894985, acc: 0.160156] 2353: [D loss: 0.698486, acc: 0.535156] [A loss: 0.912120, acc: 0.132812] 2354: [D loss: 0.685436, acc: 0.566406] [A loss: 0.757695, acc: 0.378906] 2355: [D loss: 0.709862, acc: 0.507812] [A loss: 1.042512, acc: 0.082031] 2356: [D loss: 0.716255, acc: 0.515625] [A loss: 0.731476, acc: 0.453125] 2357: [D loss: 0.719293, acc: 0.519531] [A loss: 1.049497, acc: 0.039062] 2358: [D loss: 0.692045, acc: 0.566406] [A loss: 0.636585, acc: 0.652344] 2359: [D loss: 0.728693, acc: 0.507812] [A loss: 0.955964, acc: 0.074219] 2360: [D loss: 0.678688, acc: 0.585938] [A loss: 0.700145, acc: 0.500000] 2361: [D loss: 0.714441, acc: 0.529297] [A loss: 0.909664, acc: 0.128906] 2362: [D loss: 0.693170, acc: 0.533203] [A loss: 0.718084, acc: 0.445312] 2363: [D loss: 0.696466, acc: 0.537109] [A loss: 0.890121, acc: 0.148438] 2364: [D loss: 0.696642, acc: 0.535156] [A loss: 0.778165, acc: 0.328125] 2365: [D loss: 0.702609, acc: 0.509766] [A loss: 0.854816, acc: 0.175781] 2366: [D loss: 0.693852, acc: 0.531250] [A loss: 0.793107, acc: 0.343750] 2367: [D loss: 0.698409, acc: 0.548828] [A loss: 0.841297, acc: 0.199219] 2368: [D loss: 0.694593, acc: 0.519531] [A loss: 0.806702, acc: 0.285156] 2369: [D loss: 0.683082, acc: 0.564453] [A loss: 0.806826, acc: 0.250000] 2370: [D loss: 0.672565, acc: 0.583984] [A loss: 0.879196, acc: 0.183594] 2371: [D loss: 0.692240, acc: 0.529297] [A loss: 0.797170, acc: 0.273438] 2372: [D loss: 0.697461, acc: 0.552734] [A loss: 0.844103, acc: 0.195312] 2373: [D loss: 0.704326, acc: 0.521484] [A loss: 0.855577, acc: 0.187500] 2374: [D loss: 0.696799, acc: 0.531250] [A loss: 0.870694, acc: 0.175781] 2375: [D loss: 0.711316, acc: 0.492188] [A loss: 0.910135, acc: 0.140625] 2376: [D loss: 0.689913, acc: 0.519531] [A loss: 0.747814, acc: 0.445312] 2377: [D loss: 0.700999, acc: 0.560547] [A loss: 0.887536, acc: 0.156250] 2378: [D loss: 0.703338, acc: 0.515625] [A loss: 0.803856, acc: 0.296875] 2379: [D loss: 0.691443, acc: 0.546875] [A loss: 0.861854, acc: 0.187500] 2380: [D loss: 0.689548, acc: 0.527344] [A loss: 0.832717, acc: 0.230469] 2381: [D loss: 0.677792, acc: 0.574219] [A loss: 0.876480, acc: 0.199219] 2382: [D loss: 0.693985, acc: 0.533203] [A loss: 0.766377, acc: 0.367188] 2383: [D loss: 0.704757, acc: 0.529297] [A loss: 0.927985, acc: 0.117188] 2384: [D loss: 0.680481, acc: 0.558594] [A loss: 0.759820, acc: 0.355469] 2385: [D loss: 0.700426, acc: 0.546875] [A loss: 0.972113, acc: 0.136719] 2386: [D loss: 0.699368, acc: 0.527344] [A loss: 0.726183, acc: 0.437500] 2387: [D loss: 0.704122, acc: 0.535156] [A loss: 0.937875, acc: 0.093750] 2388: [D loss: 0.684955, acc: 0.542969] [A loss: 0.700087, acc: 0.519531] 2389: [D loss: 0.710844, acc: 0.535156] [A loss: 0.937955, acc: 0.101562] 2390: [D loss: 0.688576, acc: 0.548828] [A loss: 0.768271, acc: 0.304688] 2391: [D loss: 0.700890, acc: 0.507812] [A loss: 0.895474, acc: 0.171875] 2392: [D loss: 0.695326, acc: 0.531250] [A loss: 0.757766, acc: 0.390625] 2393: [D loss: 0.705656, acc: 0.521484] [A loss: 0.826422, acc: 0.242188] 2394: [D loss: 0.693441, acc: 0.541016] [A loss: 0.750083, acc: 0.402344] 2395: [D loss: 0.696256, acc: 0.544922] [A loss: 0.943106, acc: 0.105469] 2396: [D loss: 0.675723, acc: 0.566406] [A loss: 0.727906, acc: 0.402344] 2397: [D loss: 0.702797, acc: 0.519531] [A loss: 0.888573, acc: 0.144531] 2398: [D loss: 0.696327, acc: 0.500000] [A loss: 0.718960, acc: 0.445312] 2399: [D loss: 0.702308, acc: 0.517578] [A loss: 0.911979, acc: 0.140625] 2400: [D loss: 0.679821, acc: 0.570312] [A loss: 0.757474, acc: 0.382812] 2401: [D loss: 0.687351, acc: 0.576172] [A loss: 0.899624, acc: 0.171875] 2402: [D loss: 0.685812, acc: 0.539062] [A loss: 0.755326, acc: 0.351562] 2403: [D loss: 0.712816, acc: 0.492188] [A loss: 0.868143, acc: 0.140625] 2404: [D loss: 0.697822, acc: 0.498047] [A loss: 0.802986, acc: 0.273438] 2405: [D loss: 0.693909, acc: 0.509766] [A loss: 0.883753, acc: 0.117188] 2406: [D loss: 0.700195, acc: 0.525391] [A loss: 0.755859, acc: 0.386719] 2407: [D loss: 0.699169, acc: 0.537109] [A loss: 0.883319, acc: 0.144531] 2408: [D loss: 0.683856, acc: 0.535156] [A loss: 0.802969, acc: 0.281250] 2409: [D loss: 0.694695, acc: 0.507812] [A loss: 0.871354, acc: 0.160156] 2410: [D loss: 0.678736, acc: 0.574219] [A loss: 0.845460, acc: 0.230469] 2411: [D loss: 0.704129, acc: 0.507812] [A loss: 0.770453, acc: 0.355469] 2412: [D loss: 0.711075, acc: 0.527344] [A loss: 0.930441, acc: 0.097656] 2413: [D loss: 0.680943, acc: 0.558594] [A loss: 0.786260, acc: 0.316406] 2414: [D loss: 0.696454, acc: 0.511719] [A loss: 0.954123, acc: 0.097656] 2415: [D loss: 0.686214, acc: 0.548828] [A loss: 0.793981, acc: 0.292969] 2416: [D loss: 0.702245, acc: 0.515625] [A loss: 0.927584, acc: 0.089844] 2417: [D loss: 0.688629, acc: 0.509766] [A loss: 0.797700, acc: 0.292969] 2418: [D loss: 0.685135, acc: 0.560547] [A loss: 0.950713, acc: 0.125000] 2419: [D loss: 0.686385, acc: 0.535156] [A loss: 0.719497, acc: 0.441406] 2420: [D loss: 0.706747, acc: 0.537109] [A loss: 0.917402, acc: 0.121094] 2421: [D loss: 0.684712, acc: 0.570312] [A loss: 0.800929, acc: 0.289062] 2422: [D loss: 0.682103, acc: 0.560547] [A loss: 0.900272, acc: 0.160156] 2423: [D loss: 0.690928, acc: 0.558594] [A loss: 0.733946, acc: 0.441406] 2424: [D loss: 0.700225, acc: 0.533203] [A loss: 0.915601, acc: 0.125000] 2425: [D loss: 0.691594, acc: 0.533203] [A loss: 0.752197, acc: 0.363281] 2426: [D loss: 0.699971, acc: 0.539062] [A loss: 0.935857, acc: 0.097656] 2427: [D loss: 0.698228, acc: 0.527344] [A loss: 0.717706, acc: 0.445312] 2428: [D loss: 0.711233, acc: 0.505859] [A loss: 0.893942, acc: 0.144531] 2429: [D loss: 0.702888, acc: 0.541016] [A loss: 0.823971, acc: 0.234375] 2430: [D loss: 0.701484, acc: 0.515625] [A loss: 0.844024, acc: 0.195312] 2431: [D loss: 0.691786, acc: 0.546875] [A loss: 0.871645, acc: 0.140625] 2432: [D loss: 0.694092, acc: 0.533203] [A loss: 0.745132, acc: 0.394531] 2433: [D loss: 0.704056, acc: 0.537109] [A loss: 1.006724, acc: 0.042969] 2434: [D loss: 0.683701, acc: 0.554688] [A loss: 0.685643, acc: 0.566406] 2435: [D loss: 0.724425, acc: 0.519531] [A loss: 1.026624, acc: 0.039062] 2436: [D loss: 0.685914, acc: 0.541016] [A loss: 0.722206, acc: 0.460938] 2437: [D loss: 0.698874, acc: 0.541016] [A loss: 0.945786, acc: 0.144531] 2438: [D loss: 0.689929, acc: 0.548828] [A loss: 0.731959, acc: 0.437500] 2439: [D loss: 0.696570, acc: 0.527344] [A loss: 0.900626, acc: 0.113281] 2440: [D loss: 0.686331, acc: 0.550781] [A loss: 0.773181, acc: 0.312500] 2441: [D loss: 0.705859, acc: 0.496094] [A loss: 0.853595, acc: 0.214844] 2442: [D loss: 0.699265, acc: 0.533203] [A loss: 0.832047, acc: 0.191406] 2443: [D loss: 0.683286, acc: 0.574219] [A loss: 0.833471, acc: 0.175781] 2444: [D loss: 0.688173, acc: 0.541016] [A loss: 0.829092, acc: 0.234375] 2445: [D loss: 0.696787, acc: 0.533203] [A loss: 0.767326, acc: 0.339844] 2446: [D loss: 0.705908, acc: 0.490234] [A loss: 0.896556, acc: 0.125000] 2447: [D loss: 0.703341, acc: 0.507812] [A loss: 0.791097, acc: 0.277344] 2448: [D loss: 0.703680, acc: 0.533203] [A loss: 0.923820, acc: 0.113281] 2449: [D loss: 0.691516, acc: 0.562500] [A loss: 0.729943, acc: 0.457031] 2450: [D loss: 0.700975, acc: 0.556641] [A loss: 0.983895, acc: 0.070312] 2451: [D loss: 0.694004, acc: 0.546875] [A loss: 0.723754, acc: 0.406250] 2452: [D loss: 0.693039, acc: 0.544922] [A loss: 0.932131, acc: 0.125000] 2453: [D loss: 0.677184, acc: 0.562500] [A loss: 0.791902, acc: 0.304688] 2454: [D loss: 0.708550, acc: 0.500000] [A loss: 0.853718, acc: 0.183594] 2455: [D loss: 0.680711, acc: 0.572266] [A loss: 0.807448, acc: 0.292969] 2456: [D loss: 0.697392, acc: 0.533203] [A loss: 0.912842, acc: 0.117188] 2457: [D loss: 0.699827, acc: 0.505859] [A loss: 0.754567, acc: 0.359375] 2458: [D loss: 0.688960, acc: 0.535156] [A loss: 0.929845, acc: 0.078125] 2459: [D loss: 0.693668, acc: 0.525391] [A loss: 0.717283, acc: 0.449219] 2460: [D loss: 0.704570, acc: 0.523438] [A loss: 0.967116, acc: 0.070312] 2461: [D loss: 0.690118, acc: 0.537109] [A loss: 0.680261, acc: 0.574219] 2462: [D loss: 0.712399, acc: 0.531250] [A loss: 0.902364, acc: 0.132812] 2463: [D loss: 0.694373, acc: 0.523438] [A loss: 0.728273, acc: 0.437500] 2464: [D loss: 0.696085, acc: 0.517578] [A loss: 0.843926, acc: 0.179688] 2465: [D loss: 0.691013, acc: 0.527344] [A loss: 0.775661, acc: 0.300781] 2466: [D loss: 0.699036, acc: 0.535156] [A loss: 0.897553, acc: 0.121094] 2467: [D loss: 0.686237, acc: 0.556641] [A loss: 0.744471, acc: 0.359375] 2468: [D loss: 0.703111, acc: 0.523438] [A loss: 0.910946, acc: 0.089844] 2469: [D loss: 0.675675, acc: 0.556641] [A loss: 0.761967, acc: 0.339844] 2470: [D loss: 0.712111, acc: 0.488281] [A loss: 0.817106, acc: 0.265625] 2471: [D loss: 0.705895, acc: 0.527344] [A loss: 0.821532, acc: 0.246094] 2472: [D loss: 0.703380, acc: 0.511719] [A loss: 0.850300, acc: 0.214844] 2473: [D loss: 0.693928, acc: 0.507812] [A loss: 0.833171, acc: 0.214844] 2474: [D loss: 0.687820, acc: 0.554688] [A loss: 0.830362, acc: 0.253906] 2475: [D loss: 0.688266, acc: 0.517578] [A loss: 0.838949, acc: 0.226562] 2476: [D loss: 0.691480, acc: 0.562500] [A loss: 0.832122, acc: 0.195312] 2477: [D loss: 0.699891, acc: 0.521484] [A loss: 0.802504, acc: 0.289062] 2478: [D loss: 0.691977, acc: 0.548828] [A loss: 0.894297, acc: 0.160156] 2479: [D loss: 0.705798, acc: 0.521484] [A loss: 0.764349, acc: 0.343750] 2480: [D loss: 0.700136, acc: 0.544922] [A loss: 0.859058, acc: 0.195312] 2481: [D loss: 0.704214, acc: 0.519531] [A loss: 0.783261, acc: 0.292969] 2482: [D loss: 0.698045, acc: 0.554688] [A loss: 0.878861, acc: 0.167969] 2483: [D loss: 0.687253, acc: 0.554688] [A loss: 0.741269, acc: 0.394531] 2484: [D loss: 0.708375, acc: 0.541016] [A loss: 0.967556, acc: 0.062500] 2485: [D loss: 0.686643, acc: 0.554688] [A loss: 0.693722, acc: 0.515625] 2486: [D loss: 0.699757, acc: 0.523438] [A loss: 0.970297, acc: 0.058594] 2487: [D loss: 0.696625, acc: 0.541016] [A loss: 0.730822, acc: 0.417969] 2488: [D loss: 0.701495, acc: 0.509766] [A loss: 0.862706, acc: 0.167969] 2489: [D loss: 0.680794, acc: 0.580078] [A loss: 0.754294, acc: 0.343750] 2490: [D loss: 0.696408, acc: 0.523438] [A loss: 0.908695, acc: 0.097656] 2491: [D loss: 0.704406, acc: 0.496094] [A loss: 0.790567, acc: 0.289062] 2492: [D loss: 0.713496, acc: 0.490234] [A loss: 0.827330, acc: 0.230469] 2493: [D loss: 0.701373, acc: 0.468750] [A loss: 0.791701, acc: 0.250000] 2494: [D loss: 0.687794, acc: 0.554688] [A loss: 0.837784, acc: 0.199219] 2495: [D loss: 0.692750, acc: 0.548828] [A loss: 0.848078, acc: 0.179688] 2496: [D loss: 0.692093, acc: 0.539062] [A loss: 0.873601, acc: 0.125000] 2497: [D loss: 0.698919, acc: 0.501953] [A loss: 0.779360, acc: 0.296875] 2498: [D loss: 0.703422, acc: 0.533203] [A loss: 0.982115, acc: 0.074219] 2499: [D loss: 0.681586, acc: 0.582031] [A loss: 0.692453, acc: 0.527344] 2500: [D loss: 0.722951, acc: 0.507812] [A loss: 0.915442, acc: 0.082031] 2501: [D loss: 0.699502, acc: 0.511719] [A loss: 0.703990, acc: 0.500000] 2502: [D loss: 0.702270, acc: 0.503906] [A loss: 0.856807, acc: 0.171875] 2503: [D loss: 0.692499, acc: 0.539062] [A loss: 0.808981, acc: 0.250000] 2504: [D loss: 0.694275, acc: 0.548828] [A loss: 0.846914, acc: 0.203125] 2505: [D loss: 0.691205, acc: 0.529297] [A loss: 0.812993, acc: 0.230469] 2506: [D loss: 0.691472, acc: 0.535156] [A loss: 0.843496, acc: 0.179688] 2507: [D loss: 0.690678, acc: 0.521484] [A loss: 0.738705, acc: 0.460938] 2508: [D loss: 0.699608, acc: 0.542969] [A loss: 0.864361, acc: 0.171875] 2509: [D loss: 0.688389, acc: 0.564453] [A loss: 0.724358, acc: 0.414062] 2510: [D loss: 0.702147, acc: 0.515625] [A loss: 0.928626, acc: 0.113281] 2511: [D loss: 0.698723, acc: 0.494141] [A loss: 0.716922, acc: 0.460938] 2512: [D loss: 0.697453, acc: 0.525391] [A loss: 0.920291, acc: 0.109375] 2513: [D loss: 0.680294, acc: 0.554688] [A loss: 0.772523, acc: 0.324219] 2514: [D loss: 0.696753, acc: 0.527344] [A loss: 0.849111, acc: 0.230469] 2515: [D loss: 0.690346, acc: 0.537109] [A loss: 0.766277, acc: 0.351562] 2516: [D loss: 0.691367, acc: 0.533203] [A loss: 0.874466, acc: 0.199219] 2517: [D loss: 0.688386, acc: 0.541016] [A loss: 0.735146, acc: 0.421875] 2518: [D loss: 0.699888, acc: 0.537109] [A loss: 0.832146, acc: 0.210938] 2519: [D loss: 0.695468, acc: 0.505859] [A loss: 0.806345, acc: 0.230469] 2520: [D loss: 0.696568, acc: 0.507812] [A loss: 0.870980, acc: 0.171875] 2521: [D loss: 0.689071, acc: 0.548828] [A loss: 0.747231, acc: 0.390625] 2522: [D loss: 0.701886, acc: 0.525391] [A loss: 0.893331, acc: 0.109375] 2523: [D loss: 0.682332, acc: 0.591797] [A loss: 0.752028, acc: 0.367188] 2524: [D loss: 0.696543, acc: 0.523438] [A loss: 0.969332, acc: 0.070312] 2525: [D loss: 0.694035, acc: 0.531250] [A loss: 0.711679, acc: 0.476562] 2526: [D loss: 0.702736, acc: 0.533203] [A loss: 0.880103, acc: 0.175781] 2527: [D loss: 0.691371, acc: 0.542969] [A loss: 0.727965, acc: 0.414062] 2528: [D loss: 0.705750, acc: 0.552734] [A loss: 0.895908, acc: 0.121094] 2529: [D loss: 0.687357, acc: 0.531250] [A loss: 0.799528, acc: 0.277344] 2530: [D loss: 0.698065, acc: 0.503906] [A loss: 0.814531, acc: 0.238281] 2531: [D loss: 0.692870, acc: 0.507812] [A loss: 0.858747, acc: 0.167969] 2532: [D loss: 0.688461, acc: 0.548828] [A loss: 0.784898, acc: 0.304688] 2533: [D loss: 0.688088, acc: 0.542969] [A loss: 0.817778, acc: 0.234375] 2534: [D loss: 0.691674, acc: 0.521484] [A loss: 0.820497, acc: 0.230469] 2535: [D loss: 0.697574, acc: 0.519531] [A loss: 0.852268, acc: 0.210938] 2536: [D loss: 0.692229, acc: 0.505859] [A loss: 0.818400, acc: 0.250000] 2537: [D loss: 0.691780, acc: 0.550781] [A loss: 0.878821, acc: 0.144531] 2538: [D loss: 0.699458, acc: 0.505859] [A loss: 0.692052, acc: 0.519531] 2539: [D loss: 0.704720, acc: 0.531250] [A loss: 0.971345, acc: 0.066406] 2540: [D loss: 0.696710, acc: 0.498047] [A loss: 0.701415, acc: 0.503906] 2541: [D loss: 0.703905, acc: 0.509766] [A loss: 0.839634, acc: 0.195312] 2542: [D loss: 0.692592, acc: 0.539062] [A loss: 0.780380, acc: 0.320312] 2543: [D loss: 0.696590, acc: 0.513672] [A loss: 0.829520, acc: 0.191406] 2544: [D loss: 0.694330, acc: 0.535156] [A loss: 0.758894, acc: 0.355469] 2545: [D loss: 0.692061, acc: 0.523438] [A loss: 0.868946, acc: 0.164062] 2546: [D loss: 0.684342, acc: 0.537109] [A loss: 0.758464, acc: 0.339844] 2547: [D loss: 0.693477, acc: 0.529297] [A loss: 0.830237, acc: 0.210938] 2548: [D loss: 0.692551, acc: 0.513672] [A loss: 0.770893, acc: 0.367188] 2549: [D loss: 0.683943, acc: 0.550781] [A loss: 0.846848, acc: 0.175781] 2550: [D loss: 0.689732, acc: 0.544922] [A loss: 0.784353, acc: 0.300781] 2551: [D loss: 0.694642, acc: 0.550781] [A loss: 0.857246, acc: 0.171875] 2552: [D loss: 0.692726, acc: 0.548828] [A loss: 0.763521, acc: 0.332031] 2553: [D loss: 0.705534, acc: 0.511719] [A loss: 0.891583, acc: 0.136719] 2554: [D loss: 0.693137, acc: 0.513672] [A loss: 0.775913, acc: 0.339844] 2555: [D loss: 0.692699, acc: 0.531250] [A loss: 0.862673, acc: 0.164062] 2556: [D loss: 0.689050, acc: 0.515625] [A loss: 0.851344, acc: 0.203125] 2557: [D loss: 0.694212, acc: 0.531250] [A loss: 0.834378, acc: 0.214844] 2558: [D loss: 0.699042, acc: 0.535156] [A loss: 0.768808, acc: 0.328125] 2559: [D loss: 0.699188, acc: 0.521484] [A loss: 0.884889, acc: 0.101562] 2560: [D loss: 0.684319, acc: 0.564453] [A loss: 0.786351, acc: 0.281250] 2561: [D loss: 0.700792, acc: 0.527344] [A loss: 0.898968, acc: 0.093750] 2562: [D loss: 0.677449, acc: 0.580078] [A loss: 0.787960, acc: 0.277344] 2563: [D loss: 0.708668, acc: 0.496094] [A loss: 0.838473, acc: 0.218750] 2564: [D loss: 0.681936, acc: 0.566406] [A loss: 0.806935, acc: 0.226562] 2565: [D loss: 0.698105, acc: 0.537109] [A loss: 0.844371, acc: 0.222656] 2566: [D loss: 0.696923, acc: 0.519531] [A loss: 0.777324, acc: 0.324219] 2567: [D loss: 0.687222, acc: 0.537109] [A loss: 0.876154, acc: 0.156250] 2568: [D loss: 0.695222, acc: 0.550781] [A loss: 0.751318, acc: 0.390625] 2569: [D loss: 0.705424, acc: 0.517578] [A loss: 0.899521, acc: 0.128906] 2570: [D loss: 0.702694, acc: 0.498047] [A loss: 0.712757, acc: 0.492188] 2571: [D loss: 0.693519, acc: 0.535156] [A loss: 0.897052, acc: 0.113281] 2572: [D loss: 0.685056, acc: 0.564453] [A loss: 0.761531, acc: 0.343750] 2573: [D loss: 0.692809, acc: 0.544922] [A loss: 0.866276, acc: 0.160156] 2574: [D loss: 0.694120, acc: 0.539062] [A loss: 0.770371, acc: 0.339844] 2575: [D loss: 0.681878, acc: 0.558594] [A loss: 0.877980, acc: 0.164062] 2576: [D loss: 0.681079, acc: 0.572266] [A loss: 0.772842, acc: 0.347656] 2577: [D loss: 0.707339, acc: 0.513672] [A loss: 0.913309, acc: 0.105469] 2578: [D loss: 0.685724, acc: 0.566406] [A loss: 0.753528, acc: 0.355469] 2579: [D loss: 0.689079, acc: 0.541016] [A loss: 0.916256, acc: 0.144531] 2580: [D loss: 0.683988, acc: 0.576172] [A loss: 0.767988, acc: 0.359375] 2581: [D loss: 0.696374, acc: 0.535156] [A loss: 0.873489, acc: 0.199219] 2582: [D loss: 0.677491, acc: 0.585938] [A loss: 0.784607, acc: 0.300781] 2583: [D loss: 0.687421, acc: 0.562500] [A loss: 0.938360, acc: 0.128906] 2584: [D loss: 0.703549, acc: 0.509766] [A loss: 0.672200, acc: 0.550781] 2585: [D loss: 0.720149, acc: 0.523438] [A loss: 1.052657, acc: 0.046875] 2586: [D loss: 0.693750, acc: 0.542969] [A loss: 0.701739, acc: 0.507812] 2587: [D loss: 0.714475, acc: 0.515625] [A loss: 0.870204, acc: 0.160156] 2588: [D loss: 0.697404, acc: 0.513672] [A loss: 0.806155, acc: 0.261719] 2589: [D loss: 0.700760, acc: 0.527344] [A loss: 0.838826, acc: 0.187500] 2590: [D loss: 0.704687, acc: 0.509766] [A loss: 0.825386, acc: 0.214844] 2591: [D loss: 0.685018, acc: 0.550781] [A loss: 0.766140, acc: 0.343750] 2592: [D loss: 0.710006, acc: 0.509766] [A loss: 0.857885, acc: 0.191406] 2593: [D loss: 0.691712, acc: 0.562500] [A loss: 0.817165, acc: 0.214844] 2594: [D loss: 0.687976, acc: 0.552734] [A loss: 0.856656, acc: 0.175781] 2595: [D loss: 0.677379, acc: 0.570312] [A loss: 0.797593, acc: 0.265625] 2596: [D loss: 0.711351, acc: 0.490234] [A loss: 0.820649, acc: 0.210938] 2597: [D loss: 0.698158, acc: 0.535156] [A loss: 0.811967, acc: 0.242188] 2598: [D loss: 0.696624, acc: 0.539062] [A loss: 0.832233, acc: 0.203125] 2599: [D loss: 0.693225, acc: 0.535156] [A loss: 0.789394, acc: 0.269531] 2600: [D loss: 0.700749, acc: 0.513672] [A loss: 0.885865, acc: 0.117188] 2601: [D loss: 0.692671, acc: 0.550781] [A loss: 0.770366, acc: 0.328125] 2602: [D loss: 0.692679, acc: 0.519531] [A loss: 0.921625, acc: 0.105469] 2603: [D loss: 0.692836, acc: 0.541016] [A loss: 0.716712, acc: 0.429688] 2604: [D loss: 0.702568, acc: 0.525391] [A loss: 0.898915, acc: 0.156250] 2605: [D loss: 0.685050, acc: 0.558594] [A loss: 0.794191, acc: 0.289062] 2606: [D loss: 0.703747, acc: 0.519531] [A loss: 0.879680, acc: 0.187500] 2607: [D loss: 0.694030, acc: 0.544922] [A loss: 0.786495, acc: 0.312500] 2608: [D loss: 0.699142, acc: 0.535156] [A loss: 0.840449, acc: 0.214844] 2609: [D loss: 0.704804, acc: 0.529297] [A loss: 0.831034, acc: 0.222656] 2610: [D loss: 0.686191, acc: 0.556641] [A loss: 0.859892, acc: 0.183594] 2611: [D loss: 0.686879, acc: 0.535156] [A loss: 0.791073, acc: 0.292969] 2612: [D loss: 0.709560, acc: 0.500000] [A loss: 0.884625, acc: 0.164062] 2613: [D loss: 0.691336, acc: 0.564453] [A loss: 0.815012, acc: 0.222656] 2614: [D loss: 0.701341, acc: 0.503906] [A loss: 0.860909, acc: 0.160156] 2615: [D loss: 0.694021, acc: 0.515625] [A loss: 0.792198, acc: 0.324219] 2616: [D loss: 0.693290, acc: 0.541016] [A loss: 0.894258, acc: 0.148438] 2617: [D loss: 0.690873, acc: 0.539062] [A loss: 0.743125, acc: 0.417969] 2618: [D loss: 0.696117, acc: 0.523438] [A loss: 0.879845, acc: 0.156250] 2619: [D loss: 0.696253, acc: 0.515625] [A loss: 0.735452, acc: 0.390625] 2620: [D loss: 0.695791, acc: 0.527344] [A loss: 0.860961, acc: 0.167969] 2621: [D loss: 0.683045, acc: 0.550781] [A loss: 0.737914, acc: 0.429688] 2622: [D loss: 0.707159, acc: 0.517578] [A loss: 0.897608, acc: 0.125000] 2623: [D loss: 0.696558, acc: 0.523438] [A loss: 0.806679, acc: 0.234375] 2624: [D loss: 0.697883, acc: 0.544922] [A loss: 0.904227, acc: 0.121094] 2625: [D loss: 0.688841, acc: 0.548828] [A loss: 0.743380, acc: 0.382812] 2626: [D loss: 0.693632, acc: 0.544922] [A loss: 0.913122, acc: 0.117188] 2627: [D loss: 0.697277, acc: 0.521484] [A loss: 0.758928, acc: 0.339844] 2628: [D loss: 0.705850, acc: 0.511719] [A loss: 0.926711, acc: 0.105469] 2629: [D loss: 0.678318, acc: 0.570312] [A loss: 0.691139, acc: 0.546875] 2630: [D loss: 0.703930, acc: 0.525391] [A loss: 0.987687, acc: 0.082031] 2631: [D loss: 0.704051, acc: 0.498047] [A loss: 0.717948, acc: 0.453125] 2632: [D loss: 0.701382, acc: 0.523438] [A loss: 0.874620, acc: 0.175781] 2633: [D loss: 0.689325, acc: 0.523438] [A loss: 0.755937, acc: 0.363281] 2634: [D loss: 0.702161, acc: 0.505859] [A loss: 0.880170, acc: 0.160156] 2635: [D loss: 0.684847, acc: 0.556641] [A loss: 0.750962, acc: 0.347656] 2636: [D loss: 0.691364, acc: 0.527344] [A loss: 0.859917, acc: 0.167969] 2637: [D loss: 0.698951, acc: 0.515625] [A loss: 0.729984, acc: 0.394531] 2638: [D loss: 0.700897, acc: 0.531250] [A loss: 0.858572, acc: 0.187500] 2639: [D loss: 0.703168, acc: 0.509766] [A loss: 0.736962, acc: 0.402344] 2640: [D loss: 0.703326, acc: 0.515625] [A loss: 0.921528, acc: 0.078125] 2641: [D loss: 0.690371, acc: 0.533203] [A loss: 0.688105, acc: 0.558594] 2642: [D loss: 0.703123, acc: 0.541016] [A loss: 0.885558, acc: 0.152344] 2643: [D loss: 0.693011, acc: 0.533203] [A loss: 0.780477, acc: 0.312500] 2644: [D loss: 0.691965, acc: 0.541016] [A loss: 0.773762, acc: 0.292969] 2645: [D loss: 0.700074, acc: 0.511719] [A loss: 0.825876, acc: 0.207031] 2646: [D loss: 0.699210, acc: 0.511719] [A loss: 0.741833, acc: 0.390625] 2647: [D loss: 0.711225, acc: 0.511719] [A loss: 0.836009, acc: 0.214844] 2648: [D loss: 0.687428, acc: 0.568359] [A loss: 0.748296, acc: 0.351562] 2649: [D loss: 0.695810, acc: 0.515625] [A loss: 0.909048, acc: 0.136719] 2650: [D loss: 0.691056, acc: 0.507812] [A loss: 0.755883, acc: 0.351562] 2651: [D loss: 0.697107, acc: 0.558594] [A loss: 0.885514, acc: 0.140625] 2652: [D loss: 0.698524, acc: 0.517578] [A loss: 0.726090, acc: 0.425781] 2653: [D loss: 0.707980, acc: 0.515625] [A loss: 0.868266, acc: 0.183594] 2654: [D loss: 0.684953, acc: 0.541016] [A loss: 0.758777, acc: 0.351562] 2655: [D loss: 0.706781, acc: 0.509766] [A loss: 0.871431, acc: 0.179688] 2656: [D loss: 0.696237, acc: 0.511719] [A loss: 0.766533, acc: 0.343750] 2657: [D loss: 0.699081, acc: 0.525391] [A loss: 0.882771, acc: 0.136719] 2658: [D loss: 0.699018, acc: 0.529297] [A loss: 0.748020, acc: 0.386719] 2659: [D loss: 0.684518, acc: 0.562500] [A loss: 0.840717, acc: 0.218750] 2660: [D loss: 0.693314, acc: 0.537109] [A loss: 0.819716, acc: 0.210938] 2661: [D loss: 0.676445, acc: 0.585938] [A loss: 0.871325, acc: 0.187500] 2662: [D loss: 0.695341, acc: 0.519531] [A loss: 0.770448, acc: 0.339844] 2663: [D loss: 0.699422, acc: 0.531250] [A loss: 0.796084, acc: 0.273438] 2664: [D loss: 0.690389, acc: 0.546875] [A loss: 0.792856, acc: 0.289062] 2665: [D loss: 0.689936, acc: 0.552734] [A loss: 0.833716, acc: 0.226562] 2666: [D loss: 0.690341, acc: 0.548828] [A loss: 0.863700, acc: 0.164062] 2667: [D loss: 0.689992, acc: 0.541016] [A loss: 0.817188, acc: 0.234375] 2668: [D loss: 0.683630, acc: 0.566406] [A loss: 0.770644, acc: 0.324219] 2669: [D loss: 0.705884, acc: 0.507812] [A loss: 0.914670, acc: 0.093750] 2670: [D loss: 0.680406, acc: 0.554688] [A loss: 0.789659, acc: 0.265625] 2671: [D loss: 0.694829, acc: 0.535156] [A loss: 0.846784, acc: 0.183594] 2672: [D loss: 0.696654, acc: 0.519531] [A loss: 0.829168, acc: 0.207031] 2673: [D loss: 0.675091, acc: 0.566406] [A loss: 0.827405, acc: 0.230469] 2674: [D loss: 0.685082, acc: 0.568359] [A loss: 0.843722, acc: 0.242188] 2675: [D loss: 0.690331, acc: 0.533203] [A loss: 0.838305, acc: 0.207031] 2676: [D loss: 0.688658, acc: 0.537109] [A loss: 0.792015, acc: 0.316406] 2677: [D loss: 0.679077, acc: 0.578125] [A loss: 0.882798, acc: 0.167969] 2678: [D loss: 0.696057, acc: 0.548828] [A loss: 0.748933, acc: 0.355469] 2679: [D loss: 0.699108, acc: 0.548828] [A loss: 0.939950, acc: 0.097656] 2680: [D loss: 0.677748, acc: 0.564453] [A loss: 0.698510, acc: 0.492188] 2681: [D loss: 0.715943, acc: 0.501953] [A loss: 0.983333, acc: 0.062500] 2682: [D loss: 0.683668, acc: 0.548828] [A loss: 0.707645, acc: 0.457031] 2683: [D loss: 0.697796, acc: 0.537109] [A loss: 0.892633, acc: 0.140625] 2684: [D loss: 0.697160, acc: 0.533203] [A loss: 0.808784, acc: 0.269531] 2685: [D loss: 0.690994, acc: 0.574219] [A loss: 0.873672, acc: 0.218750] 2686: [D loss: 0.699045, acc: 0.519531] [A loss: 0.778193, acc: 0.281250] 2687: [D loss: 0.698945, acc: 0.507812] [A loss: 0.832839, acc: 0.234375] 2688: [D loss: 0.694211, acc: 0.533203] [A loss: 0.774521, acc: 0.351562] 2689: [D loss: 0.703189, acc: 0.533203] [A loss: 0.906089, acc: 0.140625] 2690: [D loss: 0.691313, acc: 0.552734] [A loss: 0.729329, acc: 0.421875] 2691: [D loss: 0.715875, acc: 0.501953] [A loss: 0.915626, acc: 0.125000] 2692: [D loss: 0.684182, acc: 0.582031] [A loss: 0.692549, acc: 0.550781] 2693: [D loss: 0.705220, acc: 0.521484] [A loss: 0.919249, acc: 0.132812] 2694: [D loss: 0.690959, acc: 0.521484] [A loss: 0.758990, acc: 0.332031] 2695: [D loss: 0.709724, acc: 0.494141] [A loss: 0.840533, acc: 0.179688] 2696: [D loss: 0.691051, acc: 0.541016] [A loss: 0.741635, acc: 0.363281] 2697: [D loss: 0.706819, acc: 0.492188] [A loss: 0.889551, acc: 0.167969] 2698: [D loss: 0.689539, acc: 0.527344] [A loss: 0.737944, acc: 0.402344] 2699: [D loss: 0.703222, acc: 0.539062] [A loss: 0.917695, acc: 0.117188] 2700: [D loss: 0.683115, acc: 0.554688] [A loss: 0.739747, acc: 0.414062] 2701: [D loss: 0.690686, acc: 0.517578] [A loss: 0.809272, acc: 0.246094] 2702: [D loss: 0.689438, acc: 0.554688] [A loss: 0.830746, acc: 0.214844] 2703: [D loss: 0.680070, acc: 0.560547] [A loss: 0.798523, acc: 0.292969] 2704: [D loss: 0.691087, acc: 0.542969] [A loss: 0.788475, acc: 0.312500] 2705: [D loss: 0.707695, acc: 0.490234] [A loss: 0.793965, acc: 0.312500] 2706: [D loss: 0.696952, acc: 0.519531] [A loss: 0.829683, acc: 0.199219] 2707: [D loss: 0.695621, acc: 0.529297] [A loss: 0.874387, acc: 0.156250] 2708: [D loss: 0.687333, acc: 0.554688] [A loss: 0.752722, acc: 0.378906] 2709: [D loss: 0.703120, acc: 0.523438] [A loss: 0.898464, acc: 0.132812] 2710: [D loss: 0.686715, acc: 0.535156] [A loss: 0.777372, acc: 0.351562] 2711: [D loss: 0.694191, acc: 0.529297] [A loss: 0.840003, acc: 0.222656] 2712: [D loss: 0.692305, acc: 0.529297] [A loss: 0.806254, acc: 0.257812] 2713: [D loss: 0.698809, acc: 0.517578] [A loss: 0.826195, acc: 0.246094] 2714: [D loss: 0.691010, acc: 0.544922] [A loss: 0.853944, acc: 0.156250] 2715: [D loss: 0.698246, acc: 0.498047] [A loss: 0.861695, acc: 0.171875] 2716: [D loss: 0.685739, acc: 0.550781] [A loss: 0.766240, acc: 0.343750] 2717: [D loss: 0.701091, acc: 0.513672] [A loss: 0.948390, acc: 0.121094] 2718: [D loss: 0.694815, acc: 0.531250] [A loss: 0.681364, acc: 0.531250] 2719: [D loss: 0.711790, acc: 0.521484] [A loss: 0.944698, acc: 0.082031] 2720: [D loss: 0.697172, acc: 0.507812] [A loss: 0.709823, acc: 0.472656] 2721: [D loss: 0.707895, acc: 0.521484] [A loss: 0.887029, acc: 0.136719] 2722: [D loss: 0.686314, acc: 0.550781] [A loss: 0.744944, acc: 0.402344] 2723: [D loss: 0.695777, acc: 0.544922] [A loss: 0.913492, acc: 0.089844] 2724: [D loss: 0.687395, acc: 0.544922] [A loss: 0.698205, acc: 0.554688] 2725: [D loss: 0.707398, acc: 0.503906] [A loss: 0.864980, acc: 0.160156] 2726: [D loss: 0.698325, acc: 0.515625] [A loss: 0.729594, acc: 0.433594] 2727: [D loss: 0.717175, acc: 0.501953] [A loss: 0.867080, acc: 0.105469] 2728: [D loss: 0.693062, acc: 0.560547] [A loss: 0.794003, acc: 0.289062] 2729: [D loss: 0.694956, acc: 0.539062] [A loss: 0.853057, acc: 0.167969] 2730: [D loss: 0.685969, acc: 0.564453] [A loss: 0.744240, acc: 0.421875] 2731: [D loss: 0.699386, acc: 0.546875] [A loss: 0.919464, acc: 0.089844] 2732: [D loss: 0.710581, acc: 0.501953] [A loss: 0.793160, acc: 0.257812] 2733: [D loss: 0.692855, acc: 0.533203] [A loss: 0.902949, acc: 0.109375] 2734: [D loss: 0.719437, acc: 0.458984] [A loss: 0.760783, acc: 0.320312] 2735: [D loss: 0.702138, acc: 0.531250] [A loss: 0.893815, acc: 0.140625] 2736: [D loss: 0.691034, acc: 0.515625] [A loss: 0.729493, acc: 0.433594] 2737: [D loss: 0.702904, acc: 0.523438] [A loss: 0.898496, acc: 0.148438] 2738: [D loss: 0.686786, acc: 0.542969] [A loss: 0.769496, acc: 0.355469] 2739: [D loss: 0.710790, acc: 0.492188] [A loss: 0.875176, acc: 0.136719] 2740: [D loss: 0.695264, acc: 0.542969] [A loss: 0.797320, acc: 0.273438] 2741: [D loss: 0.703083, acc: 0.511719] [A loss: 0.862109, acc: 0.148438] 2742: [D loss: 0.700000, acc: 0.492188] [A loss: 0.741565, acc: 0.375000] 2743: [D loss: 0.697974, acc: 0.535156] [A loss: 0.865602, acc: 0.191406] 2744: [D loss: 0.688395, acc: 0.548828] [A loss: 0.779853, acc: 0.250000] 2745: [D loss: 0.691657, acc: 0.539062] [A loss: 0.851742, acc: 0.226562] 2746: [D loss: 0.695069, acc: 0.527344] [A loss: 0.799179, acc: 0.253906] 2747: [D loss: 0.698973, acc: 0.525391] [A loss: 0.875380, acc: 0.148438] 2748: [D loss: 0.690704, acc: 0.517578] [A loss: 0.725213, acc: 0.457031] 2749: [D loss: 0.700129, acc: 0.527344] [A loss: 0.844695, acc: 0.207031] 2750: [D loss: 0.700565, acc: 0.519531] [A loss: 0.723357, acc: 0.414062] 2751: [D loss: 0.700477, acc: 0.529297] [A loss: 0.987630, acc: 0.042969] 2752: [D loss: 0.688844, acc: 0.515625] [A loss: 0.702591, acc: 0.503906] 2753: [D loss: 0.718480, acc: 0.523438] [A loss: 0.918330, acc: 0.093750] 2754: [D loss: 0.698514, acc: 0.533203] [A loss: 0.709997, acc: 0.464844] 2755: [D loss: 0.704600, acc: 0.503906] [A loss: 0.893609, acc: 0.109375] 2756: [D loss: 0.684762, acc: 0.556641] [A loss: 0.715358, acc: 0.472656] 2757: [D loss: 0.719650, acc: 0.515625] [A loss: 0.881767, acc: 0.128906] 2758: [D loss: 0.682984, acc: 0.546875] [A loss: 0.750566, acc: 0.406250] 2759: [D loss: 0.702544, acc: 0.509766] [A loss: 0.833414, acc: 0.226562] 2760: [D loss: 0.685050, acc: 0.560547] [A loss: 0.795896, acc: 0.265625] 2761: [D loss: 0.693808, acc: 0.554688] [A loss: 0.871817, acc: 0.132812] 2762: [D loss: 0.678737, acc: 0.591797] [A loss: 0.718553, acc: 0.441406] 2763: [D loss: 0.708254, acc: 0.521484] [A loss: 0.937458, acc: 0.097656] 2764: [D loss: 0.701652, acc: 0.523438] [A loss: 0.785348, acc: 0.289062] 2765: [D loss: 0.687087, acc: 0.580078] [A loss: 0.827394, acc: 0.199219] 2766: [D loss: 0.679969, acc: 0.574219] [A loss: 0.767007, acc: 0.328125] 2767: [D loss: 0.703995, acc: 0.525391] [A loss: 0.836356, acc: 0.218750] 2768: [D loss: 0.695131, acc: 0.544922] [A loss: 0.787233, acc: 0.269531] 2769: [D loss: 0.686873, acc: 0.529297] [A loss: 0.863277, acc: 0.164062] 2770: [D loss: 0.691742, acc: 0.542969] [A loss: 0.742301, acc: 0.402344] 2771: [D loss: 0.711363, acc: 0.507812] [A loss: 0.952357, acc: 0.105469] 2772: [D loss: 0.687001, acc: 0.554688] [A loss: 0.675881, acc: 0.566406] 2773: [D loss: 0.706456, acc: 0.531250] [A loss: 0.954648, acc: 0.058594] 2774: [D loss: 0.693913, acc: 0.537109] [A loss: 0.704293, acc: 0.515625] 2775: [D loss: 0.712159, acc: 0.498047] [A loss: 0.897448, acc: 0.109375] 2776: [D loss: 0.680481, acc: 0.550781] [A loss: 0.751839, acc: 0.371094] 2777: [D loss: 0.682258, acc: 0.570312] [A loss: 0.857337, acc: 0.179688] 2778: [D loss: 0.683362, acc: 0.548828] [A loss: 0.807364, acc: 0.269531] 2779: [D loss: 0.690123, acc: 0.544922] [A loss: 0.791432, acc: 0.308594] 2780: [D loss: 0.691223, acc: 0.558594] [A loss: 0.869544, acc: 0.144531] 2781: [D loss: 0.682155, acc: 0.558594] [A loss: 0.798911, acc: 0.261719] 2782: [D loss: 0.697888, acc: 0.517578] [A loss: 0.921020, acc: 0.156250] 2783: [D loss: 0.695649, acc: 0.537109] [A loss: 0.818464, acc: 0.234375] 2784: [D loss: 0.703140, acc: 0.541016] [A loss: 0.920922, acc: 0.121094] 2785: [D loss: 0.689264, acc: 0.527344] [A loss: 0.714480, acc: 0.445312] 2786: [D loss: 0.705925, acc: 0.519531] [A loss: 1.001170, acc: 0.070312] 2787: [D loss: 0.696008, acc: 0.546875] [A loss: 0.697206, acc: 0.511719] 2788: [D loss: 0.703345, acc: 0.509766] [A loss: 0.888927, acc: 0.148438] 2789: [D loss: 0.696304, acc: 0.558594] [A loss: 0.680294, acc: 0.574219] 2790: [D loss: 0.707043, acc: 0.525391] [A loss: 0.964295, acc: 0.089844] 2791: [D loss: 0.690939, acc: 0.533203] [A loss: 0.741612, acc: 0.378906] 2792: [D loss: 0.689437, acc: 0.544922] [A loss: 0.795073, acc: 0.320312] 2793: [D loss: 0.701632, acc: 0.500000] [A loss: 0.877707, acc: 0.140625] 2794: [D loss: 0.688254, acc: 0.531250] [A loss: 0.800017, acc: 0.277344] 2795: [D loss: 0.699459, acc: 0.515625] [A loss: 0.844348, acc: 0.199219] 2796: [D loss: 0.692594, acc: 0.519531] [A loss: 0.768081, acc: 0.359375] 2797: [D loss: 0.693518, acc: 0.539062] [A loss: 0.850735, acc: 0.210938] 2798: [D loss: 0.688169, acc: 0.552734] [A loss: 0.798207, acc: 0.250000] 2799: [D loss: 0.701337, acc: 0.544922] [A loss: 0.861645, acc: 0.207031] 2800: [D loss: 0.687620, acc: 0.531250] [A loss: 0.713199, acc: 0.488281] 2801: [D loss: 0.706851, acc: 0.503906] [A loss: 0.901788, acc: 0.101562] 2802: [D loss: 0.694751, acc: 0.521484] [A loss: 0.775151, acc: 0.285156] 2803: [D loss: 0.703658, acc: 0.544922] [A loss: 0.850474, acc: 0.218750] 2804: [D loss: 0.682502, acc: 0.585938] [A loss: 0.812778, acc: 0.265625] 2805: [D loss: 0.693684, acc: 0.539062] [A loss: 0.901343, acc: 0.128906] 2806: [D loss: 0.681160, acc: 0.572266] [A loss: 0.761617, acc: 0.359375] 2807: [D loss: 0.700286, acc: 0.552734] [A loss: 0.848652, acc: 0.191406] 2808: [D loss: 0.692520, acc: 0.517578] [A loss: 0.849090, acc: 0.222656] 2809: [D loss: 0.701835, acc: 0.523438] [A loss: 0.815430, acc: 0.277344] 2810: [D loss: 0.685561, acc: 0.558594] [A loss: 0.887194, acc: 0.144531] 2811: [D loss: 0.679636, acc: 0.552734] [A loss: 0.733481, acc: 0.425781] 2812: [D loss: 0.700387, acc: 0.537109] [A loss: 0.931034, acc: 0.105469] 2813: [D loss: 0.693704, acc: 0.523438] [A loss: 0.736581, acc: 0.417969] 2814: [D loss: 0.709571, acc: 0.470703] [A loss: 0.872519, acc: 0.195312] 2815: [D loss: 0.686152, acc: 0.578125] [A loss: 0.760130, acc: 0.324219] 2816: [D loss: 0.695531, acc: 0.544922] [A loss: 0.903901, acc: 0.152344] 2817: [D loss: 0.701905, acc: 0.501953] [A loss: 0.743493, acc: 0.371094] 2818: [D loss: 0.704286, acc: 0.533203] [A loss: 0.948078, acc: 0.093750] 2819: [D loss: 0.699202, acc: 0.486328] [A loss: 0.698810, acc: 0.523438] 2820: [D loss: 0.705775, acc: 0.527344] [A loss: 0.984926, acc: 0.070312] 2821: [D loss: 0.699146, acc: 0.537109] [A loss: 0.677806, acc: 0.574219] 2822: [D loss: 0.704618, acc: 0.533203] [A loss: 0.890794, acc: 0.128906] 2823: [D loss: 0.700399, acc: 0.500000] [A loss: 0.695744, acc: 0.492188] 2824: [D loss: 0.700416, acc: 0.515625] [A loss: 0.823159, acc: 0.226562] 2825: [D loss: 0.698646, acc: 0.523438] [A loss: 0.793001, acc: 0.273438] 2826: [D loss: 0.692398, acc: 0.544922] [A loss: 0.754648, acc: 0.347656] 2827: [D loss: 0.702883, acc: 0.505859] [A loss: 0.841225, acc: 0.191406] 2828: [D loss: 0.694556, acc: 0.529297] [A loss: 0.809099, acc: 0.261719] 2829: [D loss: 0.688163, acc: 0.533203] [A loss: 0.844093, acc: 0.207031] 2830: [D loss: 0.693553, acc: 0.519531] [A loss: 0.780179, acc: 0.320312] 2831: [D loss: 0.696236, acc: 0.527344] [A loss: 0.871622, acc: 0.128906] 2832: [D loss: 0.693360, acc: 0.515625] [A loss: 0.782596, acc: 0.296875] 2833: [D loss: 0.711409, acc: 0.501953] [A loss: 0.876563, acc: 0.160156] 2834: [D loss: 0.680802, acc: 0.535156] [A loss: 0.782048, acc: 0.253906] 2835: [D loss: 0.697513, acc: 0.523438] [A loss: 0.857593, acc: 0.175781] 2836: [D loss: 0.691999, acc: 0.533203] [A loss: 0.665157, acc: 0.570312] 2837: [D loss: 0.733535, acc: 0.484375] [A loss: 1.035433, acc: 0.046875] 2838: [D loss: 0.694315, acc: 0.527344] [A loss: 0.669979, acc: 0.558594] 2839: [D loss: 0.706532, acc: 0.523438] [A loss: 0.805072, acc: 0.269531] 2840: [D loss: 0.702408, acc: 0.527344] [A loss: 0.799390, acc: 0.261719] 2841: [D loss: 0.697465, acc: 0.517578] [A loss: 0.797098, acc: 0.265625] 2842: [D loss: 0.686009, acc: 0.544922] [A loss: 0.768324, acc: 0.324219] 2843: [D loss: 0.710022, acc: 0.507812] [A loss: 0.852801, acc: 0.199219] 2844: [D loss: 0.675060, acc: 0.580078] [A loss: 0.808043, acc: 0.281250] 2845: [D loss: 0.689467, acc: 0.517578] [A loss: 0.806657, acc: 0.265625] 2846: [D loss: 0.702325, acc: 0.521484] [A loss: 0.841509, acc: 0.214844] 2847: [D loss: 0.684446, acc: 0.572266] [A loss: 0.842209, acc: 0.187500] 2848: [D loss: 0.680737, acc: 0.560547] [A loss: 0.776463, acc: 0.335938] 2849: [D loss: 0.694712, acc: 0.544922] [A loss: 0.894545, acc: 0.132812] 2850: [D loss: 0.696795, acc: 0.529297] [A loss: 0.790278, acc: 0.289062] 2851: [D loss: 0.692132, acc: 0.546875] [A loss: 0.911075, acc: 0.109375] 2852: [D loss: 0.688922, acc: 0.552734] [A loss: 0.740343, acc: 0.398438] 2853: [D loss: 0.697053, acc: 0.542969] [A loss: 0.907386, acc: 0.109375] 2854: [D loss: 0.700255, acc: 0.513672] [A loss: 0.721700, acc: 0.484375] 2855: [D loss: 0.698727, acc: 0.544922] [A loss: 0.863224, acc: 0.152344] 2856: [D loss: 0.690303, acc: 0.539062] [A loss: 0.826428, acc: 0.250000] 2857: [D loss: 0.688836, acc: 0.544922] [A loss: 0.787771, acc: 0.296875] 2858: [D loss: 0.687957, acc: 0.529297] [A loss: 0.869912, acc: 0.156250] 2859: [D loss: 0.685096, acc: 0.548828] [A loss: 0.747510, acc: 0.371094] 2860: [D loss: 0.697858, acc: 0.500000] [A loss: 1.015029, acc: 0.058594] 2861: [D loss: 0.685291, acc: 0.544922] [A loss: 0.695641, acc: 0.503906] 2862: [D loss: 0.715513, acc: 0.509766] [A loss: 0.911942, acc: 0.125000] 2863: [D loss: 0.687989, acc: 0.541016] [A loss: 0.754282, acc: 0.359375] 2864: [D loss: 0.692293, acc: 0.517578] [A loss: 0.923394, acc: 0.085938] 2865: [D loss: 0.691309, acc: 0.550781] [A loss: 0.687447, acc: 0.558594] 2866: [D loss: 0.707359, acc: 0.527344] [A loss: 0.904752, acc: 0.097656] 2867: [D loss: 0.693348, acc: 0.542969] [A loss: 0.724324, acc: 0.406250] 2868: [D loss: 0.712996, acc: 0.501953] [A loss: 0.901037, acc: 0.117188] 2869: [D loss: 0.676543, acc: 0.593750] [A loss: 0.705488, acc: 0.488281] 2870: [D loss: 0.710410, acc: 0.505859] [A loss: 0.878980, acc: 0.132812] 2871: [D loss: 0.698611, acc: 0.535156] [A loss: 0.711026, acc: 0.472656] 2872: [D loss: 0.699520, acc: 0.539062] [A loss: 0.867548, acc: 0.164062] 2873: [D loss: 0.686443, acc: 0.574219] [A loss: 0.736717, acc: 0.406250] 2874: [D loss: 0.693933, acc: 0.535156] [A loss: 0.881727, acc: 0.125000] 2875: [D loss: 0.697777, acc: 0.511719] [A loss: 0.775370, acc: 0.328125] 2876: [D loss: 0.693360, acc: 0.570312] [A loss: 0.861047, acc: 0.160156] 2877: [D loss: 0.695892, acc: 0.537109] [A loss: 0.739005, acc: 0.425781] 2878: [D loss: 0.689296, acc: 0.556641] [A loss: 0.846041, acc: 0.191406] 2879: [D loss: 0.681507, acc: 0.562500] [A loss: 0.774198, acc: 0.343750] 2880: [D loss: 0.692068, acc: 0.544922] [A loss: 0.868887, acc: 0.171875] 2881: [D loss: 0.683486, acc: 0.572266] [A loss: 0.769919, acc: 0.347656] 2882: [D loss: 0.711341, acc: 0.500000] [A loss: 0.832066, acc: 0.207031] 2883: [D loss: 0.697078, acc: 0.529297] [A loss: 0.836481, acc: 0.210938] 2884: [D loss: 0.698999, acc: 0.533203] [A loss: 0.824697, acc: 0.238281] 2885: [D loss: 0.707194, acc: 0.490234] [A loss: 0.797747, acc: 0.277344] 2886: [D loss: 0.687863, acc: 0.554688] [A loss: 0.881212, acc: 0.175781] 2887: [D loss: 0.703486, acc: 0.505859] [A loss: 0.769100, acc: 0.339844] 2888: [D loss: 0.697016, acc: 0.515625] [A loss: 0.950742, acc: 0.078125] 2889: [D loss: 0.688028, acc: 0.554688] [A loss: 0.660742, acc: 0.585938] 2890: [D loss: 0.711718, acc: 0.527344] [A loss: 0.899969, acc: 0.117188] 2891: [D loss: 0.686709, acc: 0.539062] [A loss: 0.702294, acc: 0.503906] 2892: [D loss: 0.706273, acc: 0.515625] [A loss: 0.920550, acc: 0.101562] 2893: [D loss: 0.700690, acc: 0.509766] [A loss: 0.703376, acc: 0.464844] 2894: [D loss: 0.707391, acc: 0.511719] [A loss: 0.875650, acc: 0.148438] 2895: [D loss: 0.704432, acc: 0.505859] [A loss: 0.771836, acc: 0.324219] 2896: [D loss: 0.699493, acc: 0.525391] [A loss: 0.847024, acc: 0.179688] 2897: [D loss: 0.683753, acc: 0.556641] [A loss: 0.770762, acc: 0.308594] 2898: [D loss: 0.707785, acc: 0.482422] [A loss: 0.820077, acc: 0.226562] 2899: [D loss: 0.695513, acc: 0.515625] [A loss: 0.807526, acc: 0.261719] 2900: [D loss: 0.700610, acc: 0.496094] [A loss: 0.819754, acc: 0.218750] 2901: [D loss: 0.695493, acc: 0.511719] [A loss: 0.836581, acc: 0.203125] 2902: [D loss: 0.697765, acc: 0.517578] [A loss: 0.720450, acc: 0.457031] 2903: [D loss: 0.700338, acc: 0.517578] [A loss: 0.825386, acc: 0.203125] 2904: [D loss: 0.687645, acc: 0.529297] [A loss: 0.770291, acc: 0.304688] 2905: [D loss: 0.695591, acc: 0.527344] [A loss: 0.838847, acc: 0.226562] 2906: [D loss: 0.700748, acc: 0.527344] [A loss: 0.723559, acc: 0.441406] 2907: [D loss: 0.697412, acc: 0.539062] [A loss: 0.888809, acc: 0.121094] 2908: [D loss: 0.692895, acc: 0.537109] [A loss: 0.763476, acc: 0.316406] 2909: [D loss: 0.687545, acc: 0.546875] [A loss: 0.825563, acc: 0.250000] 2910: [D loss: 0.699975, acc: 0.496094] [A loss: 0.778277, acc: 0.324219] 2911: [D loss: 0.676710, acc: 0.552734] [A loss: 0.826412, acc: 0.238281] 2912: [D loss: 0.705793, acc: 0.513672] [A loss: 0.811864, acc: 0.253906] 2913: [D loss: 0.703411, acc: 0.507812] [A loss: 0.849217, acc: 0.171875] 2914: [D loss: 0.696677, acc: 0.537109] [A loss: 0.839852, acc: 0.222656] 2915: [D loss: 0.691273, acc: 0.554688] [A loss: 0.803931, acc: 0.292969] 2916: [D loss: 0.694337, acc: 0.500000] [A loss: 0.781445, acc: 0.269531] 2917: [D loss: 0.695196, acc: 0.515625] [A loss: 0.876751, acc: 0.195312] 2918: [D loss: 0.695138, acc: 0.539062] [A loss: 0.759881, acc: 0.343750] 2919: [D loss: 0.699141, acc: 0.521484] [A loss: 0.911022, acc: 0.089844] 2920: [D loss: 0.699057, acc: 0.533203] [A loss: 0.825118, acc: 0.253906] 2921: [D loss: 0.697589, acc: 0.552734] [A loss: 0.859671, acc: 0.164062] 2922: [D loss: 0.693436, acc: 0.527344] [A loss: 0.790216, acc: 0.281250] 2923: [D loss: 0.690918, acc: 0.544922] [A loss: 0.874389, acc: 0.183594] 2924: [D loss: 0.681003, acc: 0.548828] [A loss: 0.786044, acc: 0.320312] 2925: [D loss: 0.699944, acc: 0.517578] [A loss: 0.843401, acc: 0.187500] 2926: [D loss: 0.677361, acc: 0.564453] [A loss: 0.814338, acc: 0.261719] 2927: [D loss: 0.684887, acc: 0.554688] [A loss: 0.825930, acc: 0.207031] 2928: [D loss: 0.698770, acc: 0.542969] [A loss: 0.927841, acc: 0.117188] 2929: [D loss: 0.693889, acc: 0.529297] [A loss: 0.665072, acc: 0.593750] 2930: [D loss: 0.704079, acc: 0.519531] [A loss: 0.988393, acc: 0.070312] 2931: [D loss: 0.714155, acc: 0.488281] [A loss: 0.743402, acc: 0.371094] 2932: [D loss: 0.701264, acc: 0.521484] [A loss: 0.847911, acc: 0.214844] 2933: [D loss: 0.691836, acc: 0.517578] [A loss: 0.736919, acc: 0.437500] 2934: [D loss: 0.705999, acc: 0.527344] [A loss: 0.929323, acc: 0.117188] 2935: [D loss: 0.690346, acc: 0.529297] [A loss: 0.728656, acc: 0.449219] 2936: [D loss: 0.701391, acc: 0.533203] [A loss: 0.871010, acc: 0.152344] 2937: [D loss: 0.689615, acc: 0.554688] [A loss: 0.859027, acc: 0.171875] 2938: [D loss: 0.686332, acc: 0.542969] [A loss: 0.756834, acc: 0.335938] 2939: [D loss: 0.699391, acc: 0.533203] [A loss: 0.934864, acc: 0.097656] 2940: [D loss: 0.692514, acc: 0.519531] [A loss: 0.747472, acc: 0.398438] 2941: [D loss: 0.688557, acc: 0.548828] [A loss: 0.874542, acc: 0.210938] 2942: [D loss: 0.701582, acc: 0.546875] [A loss: 0.776593, acc: 0.304688] 2943: [D loss: 0.702522, acc: 0.550781] [A loss: 0.862238, acc: 0.207031] 2944: [D loss: 0.701314, acc: 0.515625] [A loss: 0.796943, acc: 0.281250] 2945: [D loss: 0.700650, acc: 0.521484] [A loss: 0.808641, acc: 0.261719] 2946: [D loss: 0.692613, acc: 0.544922] [A loss: 0.861341, acc: 0.160156] 2947: [D loss: 0.687468, acc: 0.527344] [A loss: 0.732868, acc: 0.398438] 2948: [D loss: 0.706979, acc: 0.505859] [A loss: 0.925111, acc: 0.132812] 2949: [D loss: 0.690644, acc: 0.533203] [A loss: 0.707902, acc: 0.488281] 2950: [D loss: 0.705077, acc: 0.537109] [A loss: 0.893539, acc: 0.140625] 2951: [D loss: 0.695992, acc: 0.517578] [A loss: 0.727475, acc: 0.433594] 2952: [D loss: 0.697080, acc: 0.542969] [A loss: 0.894432, acc: 0.144531] 2953: [D loss: 0.683957, acc: 0.515625] [A loss: 0.749358, acc: 0.390625] 2954: [D loss: 0.705762, acc: 0.509766] [A loss: 0.905321, acc: 0.109375] 2955: [D loss: 0.700594, acc: 0.494141] [A loss: 0.715520, acc: 0.425781] 2956: [D loss: 0.706139, acc: 0.525391] [A loss: 0.875383, acc: 0.148438] 2957: [D loss: 0.693030, acc: 0.513672] [A loss: 0.723900, acc: 0.464844] 2958: [D loss: 0.706678, acc: 0.521484] [A loss: 0.939376, acc: 0.093750] 2959: [D loss: 0.698125, acc: 0.513672] [A loss: 0.698981, acc: 0.496094] 2960: [D loss: 0.710289, acc: 0.513672] [A loss: 0.872609, acc: 0.148438] 2961: [D loss: 0.694760, acc: 0.541016] [A loss: 0.777872, acc: 0.332031] 2962: [D loss: 0.697966, acc: 0.519531] [A loss: 0.835066, acc: 0.203125] 2963: [D loss: 0.683678, acc: 0.566406] [A loss: 0.775815, acc: 0.308594] 2964: [D loss: 0.690528, acc: 0.531250] [A loss: 0.764778, acc: 0.378906] 2965: [D loss: 0.698399, acc: 0.535156] [A loss: 0.826927, acc: 0.230469] 2966: [D loss: 0.693408, acc: 0.556641] [A loss: 0.798061, acc: 0.253906] 2967: [D loss: 0.692882, acc: 0.537109] [A loss: 0.900887, acc: 0.101562] 2968: [D loss: 0.689119, acc: 0.537109] [A loss: 0.742621, acc: 0.429688] 2969: [D loss: 0.706453, acc: 0.525391] [A loss: 0.829408, acc: 0.222656] 2970: [D loss: 0.703503, acc: 0.525391] [A loss: 0.926772, acc: 0.089844] 2971: [D loss: 0.702082, acc: 0.507812] [A loss: 0.741750, acc: 0.406250] 2972: [D loss: 0.689161, acc: 0.531250] [A loss: 0.817180, acc: 0.238281] 2973: [D loss: 0.698789, acc: 0.521484] [A loss: 0.772517, acc: 0.316406] 2974: [D loss: 0.696514, acc: 0.529297] [A loss: 0.895714, acc: 0.144531] 2975: [D loss: 0.686688, acc: 0.570312] [A loss: 0.769272, acc: 0.335938] 2976: [D loss: 0.701253, acc: 0.523438] [A loss: 0.914276, acc: 0.113281] 2977: [D loss: 0.694449, acc: 0.523438] [A loss: 0.701889, acc: 0.460938] 2978: [D loss: 0.703960, acc: 0.507812] [A loss: 0.924454, acc: 0.101562] 2979: [D loss: 0.693671, acc: 0.542969] [A loss: 0.715348, acc: 0.476562] 2980: [D loss: 0.695040, acc: 0.546875] [A loss: 0.915640, acc: 0.128906] 2981: [D loss: 0.690837, acc: 0.527344] [A loss: 0.749432, acc: 0.367188] 2982: [D loss: 0.696103, acc: 0.511719] [A loss: 0.919204, acc: 0.132812] 2983: [D loss: 0.699299, acc: 0.523438] [A loss: 0.737266, acc: 0.417969] 2984: [D loss: 0.699315, acc: 0.527344] [A loss: 0.877889, acc: 0.132812] 2985: [D loss: 0.696017, acc: 0.541016] [A loss: 0.810846, acc: 0.281250] 2986: [D loss: 0.694394, acc: 0.503906] [A loss: 0.828316, acc: 0.226562] 2987: [D loss: 0.692636, acc: 0.529297] [A loss: 0.798801, acc: 0.253906] 2988: [D loss: 0.686648, acc: 0.554688] [A loss: 0.848844, acc: 0.207031] 2989: [D loss: 0.689442, acc: 0.548828] [A loss: 0.823281, acc: 0.257812] 2990: [D loss: 0.690500, acc: 0.537109] [A loss: 0.792338, acc: 0.257812] 2991: [D loss: 0.694380, acc: 0.542969] [A loss: 0.870174, acc: 0.175781] 2992: [D loss: 0.692002, acc: 0.539062] [A loss: 0.762348, acc: 0.367188] 2993: [D loss: 0.685942, acc: 0.552734] [A loss: 0.893794, acc: 0.148438] 2994: [D loss: 0.699816, acc: 0.511719] [A loss: 0.731376, acc: 0.394531] 2995: [D loss: 0.699907, acc: 0.515625] [A loss: 0.907537, acc: 0.101562] 2996: [D loss: 0.679923, acc: 0.574219] [A loss: 0.691305, acc: 0.523438] 2997: [D loss: 0.707075, acc: 0.517578] [A loss: 0.953764, acc: 0.085938] 2998: [D loss: 0.687112, acc: 0.542969] [A loss: 0.684958, acc: 0.519531] 2999: [D loss: 0.722236, acc: 0.503906] [A loss: 0.906122, acc: 0.132812] 3000: [D loss: 0.695644, acc: 0.529297] [A loss: 0.704803, acc: 0.449219] 3001: [D loss: 0.709127, acc: 0.500000] [A loss: 0.820469, acc: 0.230469] 3002: [D loss: 0.688642, acc: 0.525391] [A loss: 0.800936, acc: 0.285156] 3003: [D loss: 0.692398, acc: 0.533203] [A loss: 0.855208, acc: 0.214844] 3004: [D loss: 0.679825, acc: 0.580078] [A loss: 0.793638, acc: 0.296875] 3005: [D loss: 0.696946, acc: 0.544922] [A loss: 0.820808, acc: 0.222656] 3006: [D loss: 0.683126, acc: 0.560547] [A loss: 0.776805, acc: 0.285156] 3007: [D loss: 0.698215, acc: 0.529297] [A loss: 0.850264, acc: 0.210938] 3008: [D loss: 0.703445, acc: 0.533203] [A loss: 0.791841, acc: 0.292969] 3009: [D loss: 0.697034, acc: 0.533203] [A loss: 0.922387, acc: 0.121094] 3010: [D loss: 0.688689, acc: 0.542969] [A loss: 0.742613, acc: 0.359375] 3011: [D loss: 0.696831, acc: 0.535156] [A loss: 0.936103, acc: 0.117188] 3012: [D loss: 0.682395, acc: 0.564453] [A loss: 0.729552, acc: 0.429688] 3013: [D loss: 0.699027, acc: 0.523438] [A loss: 0.880150, acc: 0.191406] 3014: [D loss: 0.696204, acc: 0.503906] [A loss: 0.829083, acc: 0.230469] 3015: [D loss: 0.689900, acc: 0.542969] [A loss: 0.801185, acc: 0.250000] 3016: [D loss: 0.682877, acc: 0.544922] [A loss: 0.763713, acc: 0.343750] 3017: [D loss: 0.689215, acc: 0.548828] [A loss: 0.869371, acc: 0.160156] 3018: [D loss: 0.705441, acc: 0.507812] [A loss: 0.840685, acc: 0.230469] 3019: [D loss: 0.691060, acc: 0.517578] [A loss: 0.857116, acc: 0.128906] 3020: [D loss: 0.698431, acc: 0.523438] [A loss: 0.731529, acc: 0.410156] 3021: [D loss: 0.714791, acc: 0.503906] [A loss: 0.986833, acc: 0.054688] 3022: [D loss: 0.692144, acc: 0.515625] [A loss: 0.704139, acc: 0.453125] 3023: [D loss: 0.697367, acc: 0.535156] [A loss: 0.959029, acc: 0.097656] 3024: [D loss: 0.681862, acc: 0.574219] [A loss: 0.673831, acc: 0.589844] 3025: [D loss: 0.715380, acc: 0.511719] [A loss: 0.941916, acc: 0.097656] 3026: [D loss: 0.704174, acc: 0.500000] [A loss: 0.728731, acc: 0.421875] 3027: [D loss: 0.704640, acc: 0.519531] [A loss: 0.850677, acc: 0.167969] 3028: [D loss: 0.687884, acc: 0.539062] [A loss: 0.741156, acc: 0.406250] 3029: [D loss: 0.698063, acc: 0.531250] [A loss: 0.893945, acc: 0.101562] 3030: [D loss: 0.701387, acc: 0.521484] [A loss: 0.744674, acc: 0.382812] 3031: [D loss: 0.699771, acc: 0.519531] [A loss: 0.897004, acc: 0.125000] 3032: [D loss: 0.685190, acc: 0.552734] [A loss: 0.771080, acc: 0.304688] 3033: [D loss: 0.691255, acc: 0.554688] [A loss: 0.856197, acc: 0.167969] 3034: [D loss: 0.687577, acc: 0.572266] [A loss: 0.753533, acc: 0.394531] 3035: [D loss: 0.702843, acc: 0.523438] [A loss: 0.874961, acc: 0.144531] 3036: [D loss: 0.690476, acc: 0.552734] [A loss: 0.747332, acc: 0.394531] 3037: [D loss: 0.696738, acc: 0.541016] [A loss: 0.830240, acc: 0.230469] 3038: [D loss: 0.695485, acc: 0.541016] [A loss: 0.813450, acc: 0.238281] 3039: [D loss: 0.699580, acc: 0.527344] [A loss: 0.763191, acc: 0.312500] 3040: [D loss: 0.706504, acc: 0.519531] [A loss: 0.863851, acc: 0.203125] 3041: [D loss: 0.688056, acc: 0.564453] [A loss: 0.759759, acc: 0.371094] 3042: [D loss: 0.700344, acc: 0.548828] [A loss: 0.876848, acc: 0.125000] 3043: [D loss: 0.697886, acc: 0.513672] [A loss: 0.766887, acc: 0.308594] 3044: [D loss: 0.714453, acc: 0.511719] [A loss: 0.963598, acc: 0.054688] 3045: [D loss: 0.705970, acc: 0.517578] [A loss: 0.653710, acc: 0.625000] 3046: [D loss: 0.713185, acc: 0.537109] [A loss: 0.952016, acc: 0.089844] 3047: [D loss: 0.690674, acc: 0.529297] [A loss: 0.748935, acc: 0.402344] 3048: [D loss: 0.695830, acc: 0.517578] [A loss: 0.802912, acc: 0.226562] 3049: [D loss: 0.702180, acc: 0.523438] [A loss: 0.798289, acc: 0.253906] 3050: [D loss: 0.683576, acc: 0.576172] [A loss: 0.860018, acc: 0.183594] 3051: [D loss: 0.685876, acc: 0.566406] [A loss: 0.751469, acc: 0.359375] 3052: [D loss: 0.696187, acc: 0.519531] [A loss: 0.830406, acc: 0.214844] 3053: [D loss: 0.698887, acc: 0.523438] [A loss: 0.816891, acc: 0.257812] 3054: [D loss: 0.704533, acc: 0.500000] [A loss: 0.803210, acc: 0.253906] 3055: [D loss: 0.692516, acc: 0.531250] [A loss: 0.832226, acc: 0.179688] 3056: [D loss: 0.688415, acc: 0.546875] [A loss: 0.799383, acc: 0.257812] 3057: [D loss: 0.699604, acc: 0.537109] [A loss: 0.834114, acc: 0.226562] 3058: [D loss: 0.687025, acc: 0.535156] [A loss: 0.790793, acc: 0.289062] 3059: [D loss: 0.695578, acc: 0.541016] [A loss: 0.820585, acc: 0.218750] 3060: [D loss: 0.677822, acc: 0.593750] [A loss: 0.725159, acc: 0.414062] 3061: [D loss: 0.712965, acc: 0.498047] [A loss: 0.870031, acc: 0.160156] 3062: [D loss: 0.692991, acc: 0.548828] [A loss: 0.807654, acc: 0.273438] 3063: [D loss: 0.699277, acc: 0.507812] [A loss: 0.762211, acc: 0.285156] 3064: [D loss: 0.706415, acc: 0.498047] [A loss: 0.817758, acc: 0.230469] 3065: [D loss: 0.704693, acc: 0.509766] [A loss: 0.804009, acc: 0.234375] 3066: [D loss: 0.693702, acc: 0.535156] [A loss: 0.848278, acc: 0.187500] 3067: [D loss: 0.696649, acc: 0.511719] [A loss: 0.780875, acc: 0.296875] 3068: [D loss: 0.690342, acc: 0.542969] [A loss: 0.865379, acc: 0.179688] 3069: [D loss: 0.676312, acc: 0.548828] [A loss: 0.767753, acc: 0.351562] 3070: [D loss: 0.702681, acc: 0.515625] [A loss: 0.863393, acc: 0.175781] 3071: [D loss: 0.702146, acc: 0.527344] [A loss: 0.761077, acc: 0.335938] 3072: [D loss: 0.700299, acc: 0.529297] [A loss: 0.933717, acc: 0.101562] 3073: [D loss: 0.692948, acc: 0.552734] [A loss: 0.678784, acc: 0.550781] 3074: [D loss: 0.718953, acc: 0.496094] [A loss: 0.987968, acc: 0.062500] 3075: [D loss: 0.691460, acc: 0.541016] [A loss: 0.695878, acc: 0.523438] 3076: [D loss: 0.716013, acc: 0.511719] [A loss: 0.828653, acc: 0.210938] 3077: [D loss: 0.691065, acc: 0.564453] [A loss: 0.854600, acc: 0.171875] 3078: [D loss: 0.694533, acc: 0.531250] [A loss: 0.758293, acc: 0.367188] 3079: [D loss: 0.714765, acc: 0.488281] [A loss: 0.814671, acc: 0.289062] 3080: [D loss: 0.705984, acc: 0.511719] [A loss: 0.784857, acc: 0.292969] 3081: [D loss: 0.699123, acc: 0.501953] [A loss: 0.811877, acc: 0.195312] 3082: [D loss: 0.719474, acc: 0.464844] [A loss: 0.790136, acc: 0.230469] 3083: [D loss: 0.697684, acc: 0.527344] [A loss: 0.896260, acc: 0.121094] 3084: [D loss: 0.682248, acc: 0.550781] [A loss: 0.822069, acc: 0.253906] 3085: [D loss: 0.712788, acc: 0.507812] [A loss: 0.849410, acc: 0.148438] 3086: [D loss: 0.686521, acc: 0.562500] [A loss: 0.750888, acc: 0.363281] 3087: [D loss: 0.693347, acc: 0.564453] [A loss: 0.898284, acc: 0.140625] 3088: [D loss: 0.693950, acc: 0.523438] [A loss: 0.696203, acc: 0.500000] 3089: [D loss: 0.718786, acc: 0.521484] [A loss: 0.929980, acc: 0.101562] 3090: [D loss: 0.687805, acc: 0.544922] [A loss: 0.711533, acc: 0.480469] 3091: [D loss: 0.723934, acc: 0.486328] [A loss: 0.814705, acc: 0.234375] 3092: [D loss: 0.698134, acc: 0.529297] [A loss: 0.766154, acc: 0.347656] 3093: [D loss: 0.691739, acc: 0.523438] [A loss: 0.780301, acc: 0.277344] 3094: [D loss: 0.698016, acc: 0.519531] [A loss: 0.738455, acc: 0.445312] 3095: [D loss: 0.689418, acc: 0.554688] [A loss: 0.845937, acc: 0.199219] 3096: [D loss: 0.706583, acc: 0.509766] [A loss: 0.733555, acc: 0.414062] 3097: [D loss: 0.704535, acc: 0.531250] [A loss: 0.860227, acc: 0.175781] 3098: [D loss: 0.687268, acc: 0.554688] [A loss: 0.724919, acc: 0.414062] 3099: [D loss: 0.701397, acc: 0.537109] [A loss: 0.802553, acc: 0.234375] 3100: [D loss: 0.689078, acc: 0.523438] [A loss: 0.792931, acc: 0.281250] 3101: [D loss: 0.705867, acc: 0.519531] [A loss: 0.900160, acc: 0.109375] 3102: [D loss: 0.696898, acc: 0.517578] [A loss: 0.758552, acc: 0.320312] 3103: [D loss: 0.692237, acc: 0.531250] [A loss: 0.837307, acc: 0.191406] 3104: [D loss: 0.692019, acc: 0.517578] [A loss: 0.725877, acc: 0.445312] 3105: [D loss: 0.707803, acc: 0.515625] [A loss: 0.932179, acc: 0.078125] 3106: [D loss: 0.692924, acc: 0.552734] [A loss: 0.729665, acc: 0.417969] 3107: [D loss: 0.715128, acc: 0.503906] [A loss: 0.854661, acc: 0.148438] 3108: [D loss: 0.686334, acc: 0.548828] [A loss: 0.746119, acc: 0.410156] 3109: [D loss: 0.719279, acc: 0.476562] [A loss: 0.788090, acc: 0.281250] 3110: [D loss: 0.685295, acc: 0.585938] [A loss: 0.867003, acc: 0.148438] 3111: [D loss: 0.686410, acc: 0.552734] [A loss: 0.790238, acc: 0.210938] 3112: [D loss: 0.692211, acc: 0.544922] [A loss: 0.824385, acc: 0.230469] 3113: [D loss: 0.704710, acc: 0.500000] [A loss: 0.712730, acc: 0.410156] 3114: [D loss: 0.707131, acc: 0.509766] [A loss: 0.927152, acc: 0.070312] 3115: [D loss: 0.707726, acc: 0.505859] [A loss: 0.716503, acc: 0.464844] 3116: [D loss: 0.699465, acc: 0.515625] [A loss: 0.844449, acc: 0.171875] 3117: [D loss: 0.698283, acc: 0.523438] [A loss: 0.740018, acc: 0.394531] 3118: [D loss: 0.702292, acc: 0.517578] [A loss: 0.841926, acc: 0.191406] 3119: [D loss: 0.689472, acc: 0.527344] [A loss: 0.764707, acc: 0.320312] 3120: [D loss: 0.689472, acc: 0.548828] [A loss: 0.854921, acc: 0.136719] 3121: [D loss: 0.688109, acc: 0.531250] [A loss: 0.747967, acc: 0.402344] 3122: [D loss: 0.692433, acc: 0.537109] [A loss: 0.863351, acc: 0.121094] 3123: [D loss: 0.693860, acc: 0.529297] [A loss: 0.758472, acc: 0.328125] 3124: [D loss: 0.704178, acc: 0.498047] [A loss: 0.858374, acc: 0.171875] 3125: [D loss: 0.692363, acc: 0.552734] [A loss: 0.741611, acc: 0.394531] 3126: [D loss: 0.691199, acc: 0.542969] [A loss: 0.781205, acc: 0.320312] 3127: [D loss: 0.693725, acc: 0.535156] [A loss: 0.797920, acc: 0.250000] 3128: [D loss: 0.688307, acc: 0.556641] [A loss: 0.827043, acc: 0.226562] 3129: [D loss: 0.704663, acc: 0.496094] [A loss: 0.805994, acc: 0.257812] 3130: [D loss: 0.690295, acc: 0.529297] [A loss: 0.819436, acc: 0.210938] 3131: [D loss: 0.694441, acc: 0.531250] [A loss: 0.762660, acc: 0.281250] 3132: [D loss: 0.706602, acc: 0.500000] [A loss: 0.896940, acc: 0.117188] 3133: [D loss: 0.688237, acc: 0.539062] [A loss: 0.723088, acc: 0.433594] 3134: [D loss: 0.721973, acc: 0.488281] [A loss: 0.916026, acc: 0.117188] 3135: [D loss: 0.685899, acc: 0.560547] [A loss: 0.696160, acc: 0.492188] 3136: [D loss: 0.700869, acc: 0.533203] [A loss: 0.910301, acc: 0.117188] 3137: [D loss: 0.697706, acc: 0.564453] [A loss: 0.746826, acc: 0.378906] 3138: [D loss: 0.703183, acc: 0.533203] [A loss: 0.830779, acc: 0.218750] 3139: [D loss: 0.682884, acc: 0.578125] [A loss: 0.780798, acc: 0.304688] 3140: [D loss: 0.697727, acc: 0.527344] [A loss: 0.812050, acc: 0.207031] 3141: [D loss: 0.692466, acc: 0.527344] [A loss: 0.809211, acc: 0.253906] 3142: [D loss: 0.694294, acc: 0.535156] [A loss: 0.756026, acc: 0.332031] 3143: [D loss: 0.708987, acc: 0.501953] [A loss: 0.817303, acc: 0.253906] 3144: [D loss: 0.686070, acc: 0.531250] [A loss: 0.763874, acc: 0.316406] 3145: [D loss: 0.693148, acc: 0.554688] [A loss: 0.875136, acc: 0.144531] 3146: [D loss: 0.691353, acc: 0.523438] [A loss: 0.763915, acc: 0.335938] 3147: [D loss: 0.702072, acc: 0.521484] [A loss: 0.957637, acc: 0.066406] 3148: [D loss: 0.691790, acc: 0.544922] [A loss: 0.662186, acc: 0.601562] 3149: [D loss: 0.708803, acc: 0.500000] [A loss: 0.894523, acc: 0.101562] 3150: [D loss: 0.694587, acc: 0.535156] [A loss: 0.738521, acc: 0.382812] 3151: [D loss: 0.700112, acc: 0.527344] [A loss: 0.864114, acc: 0.160156] 3152: [D loss: 0.684344, acc: 0.552734] [A loss: 0.770179, acc: 0.296875] 3153: [D loss: 0.696303, acc: 0.548828] [A loss: 0.848485, acc: 0.183594] 3154: [D loss: 0.695772, acc: 0.517578] [A loss: 0.821202, acc: 0.203125] 3155: [D loss: 0.698873, acc: 0.505859] [A loss: 0.783108, acc: 0.316406] 3156: [D loss: 0.688324, acc: 0.542969] [A loss: 0.816533, acc: 0.246094] 3157: [D loss: 0.692875, acc: 0.535156] [A loss: 0.773500, acc: 0.277344] 3158: [D loss: 0.700132, acc: 0.546875] [A loss: 0.856018, acc: 0.199219] 3159: [D loss: 0.701999, acc: 0.519531] [A loss: 0.826014, acc: 0.230469] 3160: [D loss: 0.686483, acc: 0.562500] [A loss: 0.801206, acc: 0.261719] 3161: [D loss: 0.707498, acc: 0.517578] [A loss: 0.878977, acc: 0.156250] 3162: [D loss: 0.699198, acc: 0.546875] [A loss: 0.741900, acc: 0.406250] 3163: [D loss: 0.698960, acc: 0.511719] [A loss: 0.923134, acc: 0.074219] 3164: [D loss: 0.697808, acc: 0.517578] [A loss: 0.698355, acc: 0.507812] 3165: [D loss: 0.718127, acc: 0.513672] [A loss: 0.940252, acc: 0.078125] 3166: [D loss: 0.684592, acc: 0.542969] [A loss: 0.671560, acc: 0.589844] 3167: [D loss: 0.715145, acc: 0.500000] [A loss: 0.858027, acc: 0.128906] 3168: [D loss: 0.692792, acc: 0.544922] [A loss: 0.759951, acc: 0.347656] 3169: [D loss: 0.708147, acc: 0.509766] [A loss: 0.870794, acc: 0.132812] 3170: [D loss: 0.696786, acc: 0.492188] [A loss: 0.725852, acc: 0.398438] 3171: [D loss: 0.719345, acc: 0.488281] [A loss: 0.940304, acc: 0.066406] 3172: [D loss: 0.687593, acc: 0.554688] [A loss: 0.740623, acc: 0.390625] 3173: [D loss: 0.697834, acc: 0.531250] [A loss: 0.798821, acc: 0.277344] 3174: [D loss: 0.703009, acc: 0.505859] [A loss: 0.784925, acc: 0.285156] 3175: [D loss: 0.702148, acc: 0.511719] [A loss: 0.823144, acc: 0.238281] 3176: [D loss: 0.694945, acc: 0.500000] [A loss: 0.735353, acc: 0.414062] 3177: [D loss: 0.702194, acc: 0.533203] [A loss: 0.890783, acc: 0.125000] 3178: [D loss: 0.699432, acc: 0.542969] [A loss: 0.722634, acc: 0.449219] 3179: [D loss: 0.705193, acc: 0.519531] [A loss: 0.818058, acc: 0.234375] 3180: [D loss: 0.699218, acc: 0.517578] [A loss: 0.813371, acc: 0.230469] 3181: [D loss: 0.695367, acc: 0.498047] [A loss: 0.728238, acc: 0.410156] 3182: [D loss: 0.702206, acc: 0.529297] [A loss: 0.834997, acc: 0.210938] 3183: [D loss: 0.709607, acc: 0.476562] [A loss: 0.770697, acc: 0.335938] 3184: [D loss: 0.695967, acc: 0.548828] [A loss: 0.859316, acc: 0.156250] 3185: [D loss: 0.693877, acc: 0.525391] [A loss: 0.750586, acc: 0.394531] 3186: [D loss: 0.707311, acc: 0.505859] [A loss: 0.884218, acc: 0.125000] 3187: [D loss: 0.697511, acc: 0.515625] [A loss: 0.771293, acc: 0.335938] 3188: [D loss: 0.697376, acc: 0.537109] [A loss: 0.895224, acc: 0.105469] 3189: [D loss: 0.705410, acc: 0.501953] [A loss: 0.719240, acc: 0.425781] 3190: [D loss: 0.696434, acc: 0.507812] [A loss: 0.882868, acc: 0.140625] 3191: [D loss: 0.695275, acc: 0.503906] [A loss: 0.794776, acc: 0.261719] 3192: [D loss: 0.694862, acc: 0.521484] [A loss: 0.806739, acc: 0.226562] 3193: [D loss: 0.710718, acc: 0.486328] [A loss: 0.803330, acc: 0.269531] 3194: [D loss: 0.695523, acc: 0.537109] [A loss: 0.915686, acc: 0.125000] 3195: [D loss: 0.681753, acc: 0.568359] [A loss: 0.695746, acc: 0.488281] 3196: [D loss: 0.714480, acc: 0.527344] [A loss: 0.924353, acc: 0.078125] 3197: [D loss: 0.697742, acc: 0.537109] [A loss: 0.707887, acc: 0.476562] 3198: [D loss: 0.708493, acc: 0.480469] [A loss: 0.869751, acc: 0.144531] 3199: [D loss: 0.695150, acc: 0.542969] [A loss: 0.815350, acc: 0.253906] 3200: [D loss: 0.700126, acc: 0.527344] [A loss: 0.836832, acc: 0.214844] 3201: [D loss: 0.677774, acc: 0.564453] [A loss: 0.736331, acc: 0.402344] 3202: [D loss: 0.694045, acc: 0.542969] [A loss: 0.835678, acc: 0.187500] 3203: [D loss: 0.690156, acc: 0.529297] [A loss: 0.739740, acc: 0.375000] 3204: [D loss: 0.698685, acc: 0.546875] [A loss: 0.836932, acc: 0.207031] 3205: [D loss: 0.692692, acc: 0.529297] [A loss: 0.830809, acc: 0.179688] 3206: [D loss: 0.687090, acc: 0.537109] [A loss: 0.802365, acc: 0.285156] 3207: [D loss: 0.700404, acc: 0.527344] [A loss: 0.823554, acc: 0.203125] 3208: [D loss: 0.692004, acc: 0.542969] [A loss: 0.752906, acc: 0.355469] 3209: [D loss: 0.701898, acc: 0.519531] [A loss: 0.894204, acc: 0.132812] 3210: [D loss: 0.698454, acc: 0.541016] [A loss: 0.739193, acc: 0.347656] 3211: [D loss: 0.712785, acc: 0.513672] [A loss: 0.896894, acc: 0.117188] 3212: [D loss: 0.692688, acc: 0.503906] [A loss: 0.689665, acc: 0.527344] 3213: [D loss: 0.714520, acc: 0.498047] [A loss: 0.905198, acc: 0.144531] 3214: [D loss: 0.723889, acc: 0.474609] [A loss: 0.744001, acc: 0.382812] 3215: [D loss: 0.719345, acc: 0.503906] [A loss: 0.998574, acc: 0.035156] 3216: [D loss: 0.686924, acc: 0.548828] [A loss: 0.706383, acc: 0.476562] 3217: [D loss: 0.715418, acc: 0.509766] [A loss: 0.884120, acc: 0.156250] 3218: [D loss: 0.692465, acc: 0.521484] [A loss: 0.719458, acc: 0.460938] 3219: [D loss: 0.716981, acc: 0.503906] [A loss: 0.868088, acc: 0.160156] 3220: [D loss: 0.694757, acc: 0.513672] [A loss: 0.773585, acc: 0.265625] 3221: [D loss: 0.689143, acc: 0.541016] [A loss: 0.880032, acc: 0.132812] 3222: [D loss: 0.692939, acc: 0.513672] [A loss: 0.776682, acc: 0.292969] 3223: [D loss: 0.696733, acc: 0.517578] [A loss: 0.833630, acc: 0.207031] 3224: [D loss: 0.681580, acc: 0.564453] [A loss: 0.755918, acc: 0.324219] 3225: [D loss: 0.682299, acc: 0.556641] [A loss: 0.904898, acc: 0.085938] 3226: [D loss: 0.688009, acc: 0.533203] [A loss: 0.756311, acc: 0.343750] 3227: [D loss: 0.702224, acc: 0.513672] [A loss: 0.852168, acc: 0.156250] 3228: [D loss: 0.681386, acc: 0.556641] [A loss: 0.755866, acc: 0.375000] 3229: [D loss: 0.692528, acc: 0.552734] [A loss: 0.891184, acc: 0.132812] 3230: [D loss: 0.688706, acc: 0.552734] [A loss: 0.752210, acc: 0.371094] 3231: [D loss: 0.702867, acc: 0.511719] [A loss: 0.892023, acc: 0.117188] 3232: [D loss: 0.695216, acc: 0.527344] [A loss: 0.681483, acc: 0.546875] 3233: [D loss: 0.718151, acc: 0.521484] [A loss: 0.956757, acc: 0.074219] 3234: [D loss: 0.702924, acc: 0.515625] [A loss: 0.705298, acc: 0.480469] 3235: [D loss: 0.721633, acc: 0.490234] [A loss: 0.806080, acc: 0.250000] 3236: [D loss: 0.690993, acc: 0.529297] [A loss: 0.849249, acc: 0.167969] 3237: [D loss: 0.696979, acc: 0.503906] [A loss: 0.808583, acc: 0.226562] 3238: [D loss: 0.684909, acc: 0.554688] [A loss: 0.835295, acc: 0.187500] 3239: [D loss: 0.696267, acc: 0.496094] [A loss: 0.764909, acc: 0.335938] 3240: [D loss: 0.695001, acc: 0.527344] [A loss: 0.838530, acc: 0.156250] 3241: [D loss: 0.697708, acc: 0.488281] [A loss: 0.793445, acc: 0.250000] 3242: [D loss: 0.692463, acc: 0.527344] [A loss: 0.795349, acc: 0.234375] 3243: [D loss: 0.694927, acc: 0.521484] [A loss: 0.805126, acc: 0.257812] 3244: [D loss: 0.703600, acc: 0.515625] [A loss: 0.849585, acc: 0.183594] 3245: [D loss: 0.690378, acc: 0.554688] [A loss: 0.794920, acc: 0.253906] 3246: [D loss: 0.704222, acc: 0.515625] [A loss: 0.829400, acc: 0.187500] 3247: [D loss: 0.686973, acc: 0.558594] [A loss: 0.791827, acc: 0.273438] 3248: [D loss: 0.694614, acc: 0.566406] [A loss: 0.849790, acc: 0.187500] 3249: [D loss: 0.679415, acc: 0.574219] [A loss: 0.802914, acc: 0.253906] 3250: [D loss: 0.704362, acc: 0.501953] [A loss: 0.833921, acc: 0.238281] 3251: [D loss: 0.697652, acc: 0.511719] [A loss: 0.820895, acc: 0.222656] 3252: [D loss: 0.700618, acc: 0.519531] [A loss: 0.760625, acc: 0.347656] 3253: [D loss: 0.704523, acc: 0.529297] [A loss: 0.958167, acc: 0.066406] 3254: [D loss: 0.703159, acc: 0.521484] [A loss: 0.655829, acc: 0.628906] 3255: [D loss: 0.720840, acc: 0.498047] [A loss: 0.905528, acc: 0.101562] 3256: [D loss: 0.689025, acc: 0.531250] [A loss: 0.736485, acc: 0.390625] 3257: [D loss: 0.695350, acc: 0.521484] [A loss: 0.888202, acc: 0.117188] 3258: [D loss: 0.684191, acc: 0.556641] [A loss: 0.762271, acc: 0.316406] 3259: [D loss: 0.705831, acc: 0.500000] [A loss: 0.807620, acc: 0.242188] 3260: [D loss: 0.690999, acc: 0.537109] [A loss: 0.762445, acc: 0.316406] 3261: [D loss: 0.698397, acc: 0.505859] [A loss: 0.878033, acc: 0.171875] 3262: [D loss: 0.691618, acc: 0.511719] [A loss: 0.719613, acc: 0.457031] 3263: [D loss: 0.707338, acc: 0.533203] [A loss: 0.903240, acc: 0.148438] 3264: [D loss: 0.713333, acc: 0.492188] [A loss: 0.801997, acc: 0.261719] 3265: [D loss: 0.692533, acc: 0.546875] [A loss: 0.819259, acc: 0.238281] 3266: [D loss: 0.698303, acc: 0.529297] [A loss: 0.807343, acc: 0.289062] 3267: [D loss: 0.691702, acc: 0.566406] [A loss: 0.823655, acc: 0.218750] 3268: [D loss: 0.689364, acc: 0.529297] [A loss: 0.799065, acc: 0.242188] 3269: [D loss: 0.693697, acc: 0.523438] [A loss: 0.787319, acc: 0.292969] 3270: [D loss: 0.701686, acc: 0.505859] [A loss: 0.883787, acc: 0.136719] 3271: [D loss: 0.693228, acc: 0.515625] [A loss: 0.765018, acc: 0.355469] 3272: [D loss: 0.715827, acc: 0.501953] [A loss: 0.930357, acc: 0.117188] 3273: [D loss: 0.692733, acc: 0.517578] [A loss: 0.660503, acc: 0.636719] 3274: [D loss: 0.724126, acc: 0.503906] [A loss: 0.968184, acc: 0.066406] 3275: [D loss: 0.694180, acc: 0.542969] [A loss: 0.690880, acc: 0.550781] 3276: [D loss: 0.704562, acc: 0.515625] [A loss: 0.861523, acc: 0.156250] 3277: [D loss: 0.691742, acc: 0.550781] [A loss: 0.741986, acc: 0.410156] 3278: [D loss: 0.701810, acc: 0.527344] [A loss: 0.848038, acc: 0.199219] 3279: [D loss: 0.698750, acc: 0.517578] [A loss: 0.779637, acc: 0.308594] 3280: [D loss: 0.709195, acc: 0.531250] [A loss: 0.834964, acc: 0.203125] 3281: [D loss: 0.690899, acc: 0.562500] [A loss: 0.768078, acc: 0.363281] 3282: [D loss: 0.682843, acc: 0.554688] [A loss: 0.853388, acc: 0.148438] 3283: [D loss: 0.684394, acc: 0.546875] [A loss: 0.759453, acc: 0.363281] 3284: [D loss: 0.696337, acc: 0.527344] [A loss: 0.842079, acc: 0.207031] 3285: [D loss: 0.692339, acc: 0.562500] [A loss: 0.786013, acc: 0.281250] 3286: [D loss: 0.700556, acc: 0.525391] [A loss: 0.792611, acc: 0.281250] 3287: [D loss: 0.715757, acc: 0.501953] [A loss: 0.779512, acc: 0.316406] 3288: [D loss: 0.697800, acc: 0.507812] [A loss: 0.834218, acc: 0.210938] 3289: [D loss: 0.686922, acc: 0.558594] [A loss: 0.845749, acc: 0.222656] 3290: [D loss: 0.685299, acc: 0.541016] [A loss: 0.766011, acc: 0.332031] 3291: [D loss: 0.698449, acc: 0.537109] [A loss: 0.882913, acc: 0.128906] 3292: [D loss: 0.696357, acc: 0.515625] [A loss: 0.771936, acc: 0.304688] 3293: [D loss: 0.697233, acc: 0.535156] [A loss: 0.842076, acc: 0.222656] 3294: [D loss: 0.687196, acc: 0.552734] [A loss: 0.774748, acc: 0.320312] 3295: [D loss: 0.695465, acc: 0.552734] [A loss: 0.889994, acc: 0.136719] 3296: [D loss: 0.679000, acc: 0.560547] [A loss: 0.710097, acc: 0.496094] 3297: [D loss: 0.712161, acc: 0.517578] [A loss: 1.012152, acc: 0.058594] 3298: [D loss: 0.716471, acc: 0.490234] [A loss: 0.645210, acc: 0.660156] 3299: [D loss: 0.714001, acc: 0.515625] [A loss: 0.830308, acc: 0.214844] 3300: [D loss: 0.688818, acc: 0.531250] [A loss: 0.726508, acc: 0.457031] 3301: [D loss: 0.707260, acc: 0.507812] [A loss: 0.796471, acc: 0.281250] 3302: [D loss: 0.694144, acc: 0.527344] [A loss: 0.811994, acc: 0.203125] 3303: [D loss: 0.695656, acc: 0.533203] [A loss: 0.831833, acc: 0.218750] 3304: [D loss: 0.693054, acc: 0.523438] [A loss: 0.766566, acc: 0.316406] 3305: [D loss: 0.692179, acc: 0.539062] [A loss: 0.867151, acc: 0.195312] 3306: [D loss: 0.702057, acc: 0.517578] [A loss: 0.764856, acc: 0.328125] 3307: [D loss: 0.699874, acc: 0.527344] [A loss: 0.892565, acc: 0.136719] 3308: [D loss: 0.685636, acc: 0.554688] [A loss: 0.722330, acc: 0.437500] 3309: [D loss: 0.704582, acc: 0.521484] [A loss: 0.891324, acc: 0.144531] 3310: [D loss: 0.710978, acc: 0.494141] [A loss: 0.674657, acc: 0.515625] 3311: [D loss: 0.712343, acc: 0.533203] [A loss: 0.948912, acc: 0.121094] 3312: [D loss: 0.717557, acc: 0.523438] [A loss: 0.769735, acc: 0.339844] 3313: [D loss: 0.698226, acc: 0.537109] [A loss: 0.813528, acc: 0.234375] 3314: [D loss: 0.689485, acc: 0.539062] [A loss: 0.792173, acc: 0.328125] 3315: [D loss: 0.698796, acc: 0.515625] [A loss: 0.846259, acc: 0.203125] 3316: [D loss: 0.706178, acc: 0.505859] [A loss: 0.804150, acc: 0.238281] 3317: [D loss: 0.697948, acc: 0.535156] [A loss: 0.827219, acc: 0.210938] 3318: [D loss: 0.688657, acc: 0.562500] [A loss: 0.831476, acc: 0.218750] 3319: [D loss: 0.694015, acc: 0.546875] [A loss: 0.782826, acc: 0.312500] 3320: [D loss: 0.698309, acc: 0.507812] [A loss: 0.856638, acc: 0.128906] 3321: [D loss: 0.693534, acc: 0.523438] [A loss: 0.735284, acc: 0.410156] 3322: [D loss: 0.700011, acc: 0.509766] [A loss: 0.877063, acc: 0.132812] 3323: [D loss: 0.690076, acc: 0.558594] [A loss: 0.708239, acc: 0.480469] 3324: [D loss: 0.698906, acc: 0.500000] [A loss: 0.945782, acc: 0.082031] 3325: [D loss: 0.674890, acc: 0.576172] [A loss: 0.693389, acc: 0.546875] 3326: [D loss: 0.705252, acc: 0.525391] [A loss: 0.840976, acc: 0.203125] 3327: [D loss: 0.688377, acc: 0.542969] [A loss: 0.781115, acc: 0.328125] 3328: [D loss: 0.705020, acc: 0.501953] [A loss: 0.828705, acc: 0.214844] 3329: [D loss: 0.701912, acc: 0.527344] [A loss: 0.793587, acc: 0.281250] 3330: [D loss: 0.708609, acc: 0.503906] [A loss: 0.805921, acc: 0.238281] 3331: [D loss: 0.696050, acc: 0.529297] [A loss: 0.798725, acc: 0.285156] 3332: [D loss: 0.691771, acc: 0.537109] [A loss: 0.806828, acc: 0.289062] 3333: [D loss: 0.683530, acc: 0.550781] [A loss: 0.860845, acc: 0.167969] 3334: [D loss: 0.708681, acc: 0.500000] [A loss: 0.812405, acc: 0.230469] 3335: [D loss: 0.700181, acc: 0.515625] [A loss: 0.725151, acc: 0.449219] 3336: [D loss: 0.709280, acc: 0.494141] [A loss: 0.958400, acc: 0.062500] 3337: [D loss: 0.692343, acc: 0.511719] [A loss: 0.680498, acc: 0.585938] 3338: [D loss: 0.700988, acc: 0.552734] [A loss: 0.802746, acc: 0.277344] 3339: [D loss: 0.688736, acc: 0.556641] [A loss: 0.753233, acc: 0.347656] 3340: [D loss: 0.691206, acc: 0.537109] [A loss: 0.820858, acc: 0.261719] 3341: [D loss: 0.703964, acc: 0.511719] [A loss: 0.856828, acc: 0.214844] 3342: [D loss: 0.700846, acc: 0.517578] [A loss: 0.695558, acc: 0.503906] 3343: [D loss: 0.711819, acc: 0.501953] [A loss: 0.933710, acc: 0.121094] 3344: [D loss: 0.683200, acc: 0.572266] [A loss: 0.734635, acc: 0.449219] 3345: [D loss: 0.710683, acc: 0.509766] [A loss: 0.873289, acc: 0.156250] 3346: [D loss: 0.696211, acc: 0.484375] [A loss: 0.729727, acc: 0.406250] 3347: [D loss: 0.699355, acc: 0.542969] [A loss: 0.784280, acc: 0.316406] 3348: [D loss: 0.697599, acc: 0.537109] [A loss: 0.873539, acc: 0.179688] 3349: [D loss: 0.692934, acc: 0.535156] [A loss: 0.676953, acc: 0.539062] 3350: [D loss: 0.711963, acc: 0.513672] [A loss: 0.971503, acc: 0.054688] 3351: [D loss: 0.699629, acc: 0.529297] [A loss: 0.733635, acc: 0.453125] 3352: [D loss: 0.704336, acc: 0.513672] [A loss: 0.757195, acc: 0.351562] 3353: [D loss: 0.719057, acc: 0.478516] [A loss: 0.838027, acc: 0.230469] 3354: [D loss: 0.686337, acc: 0.554688] [A loss: 0.743523, acc: 0.359375] 3355: [D loss: 0.698267, acc: 0.523438] [A loss: 0.835987, acc: 0.203125] 3356: [D loss: 0.693677, acc: 0.523438] [A loss: 0.750048, acc: 0.394531] 3357: [D loss: 0.703861, acc: 0.531250] [A loss: 0.818583, acc: 0.246094] 3358: [D loss: 0.713215, acc: 0.458984] [A loss: 0.711579, acc: 0.445312] 3359: [D loss: 0.706244, acc: 0.541016] [A loss: 0.826470, acc: 0.234375] 3360: [D loss: 0.694615, acc: 0.541016] [A loss: 0.754037, acc: 0.363281] 3361: [D loss: 0.705347, acc: 0.521484] [A loss: 0.864452, acc: 0.144531] 3362: [D loss: 0.688984, acc: 0.548828] [A loss: 0.764230, acc: 0.296875] 3363: [D loss: 0.691834, acc: 0.546875] [A loss: 0.824075, acc: 0.238281] 3364: [D loss: 0.696021, acc: 0.531250] [A loss: 0.785489, acc: 0.320312] 3365: [D loss: 0.690567, acc: 0.542969] [A loss: 0.811805, acc: 0.242188] 3366: [D loss: 0.699502, acc: 0.531250] [A loss: 0.833920, acc: 0.222656] 3367: [D loss: 0.690117, acc: 0.525391] [A loss: 0.772581, acc: 0.359375] 3368: [D loss: 0.692590, acc: 0.544922] [A loss: 0.849970, acc: 0.187500] 3369: [D loss: 0.702629, acc: 0.503906] [A loss: 0.814155, acc: 0.250000] 3370: [D loss: 0.701567, acc: 0.515625] [A loss: 1.002587, acc: 0.062500] 3371: [D loss: 0.690426, acc: 0.537109] [A loss: 0.603313, acc: 0.742188] 3372: [D loss: 0.719204, acc: 0.517578] [A loss: 0.987097, acc: 0.066406] 3373: [D loss: 0.691386, acc: 0.546875] [A loss: 0.704924, acc: 0.515625] 3374: [D loss: 0.695983, acc: 0.546875] [A loss: 0.790586, acc: 0.320312] 3375: [D loss: 0.688468, acc: 0.570312] [A loss: 0.752963, acc: 0.398438] 3376: [D loss: 0.696221, acc: 0.531250] [A loss: 0.775819, acc: 0.332031] 3377: [D loss: 0.699380, acc: 0.490234] [A loss: 0.775878, acc: 0.328125] 3378: [D loss: 0.691942, acc: 0.550781] [A loss: 0.835941, acc: 0.238281] 3379: [D loss: 0.699808, acc: 0.539062] [A loss: 0.835051, acc: 0.218750] 3380: [D loss: 0.681363, acc: 0.580078] [A loss: 0.767441, acc: 0.324219] 3381: [D loss: 0.694136, acc: 0.527344] [A loss: 0.791680, acc: 0.304688] 3382: [D loss: 0.706883, acc: 0.515625] [A loss: 0.827502, acc: 0.191406] 3383: [D loss: 0.681480, acc: 0.572266] [A loss: 0.764571, acc: 0.347656] 3384: [D loss: 0.712857, acc: 0.505859] [A loss: 0.861305, acc: 0.175781] 3385: [D loss: 0.688055, acc: 0.533203] [A loss: 0.715888, acc: 0.472656] 3386: [D loss: 0.704998, acc: 0.507812] [A loss: 0.886791, acc: 0.136719] 3387: [D loss: 0.692037, acc: 0.531250] [A loss: 0.728035, acc: 0.441406] 3388: [D loss: 0.707683, acc: 0.503906] [A loss: 0.883889, acc: 0.136719] 3389: [D loss: 0.680444, acc: 0.580078] [A loss: 0.668834, acc: 0.601562] 3390: [D loss: 0.705744, acc: 0.523438] [A loss: 0.883993, acc: 0.148438] 3391: [D loss: 0.701356, acc: 0.517578] [A loss: 0.707933, acc: 0.503906] 3392: [D loss: 0.708434, acc: 0.507812] [A loss: 0.851378, acc: 0.160156] 3393: [D loss: 0.689713, acc: 0.556641] [A loss: 0.760460, acc: 0.355469] 3394: [D loss: 0.718621, acc: 0.515625] [A loss: 0.940560, acc: 0.097656] 3395: [D loss: 0.692076, acc: 0.525391] [A loss: 0.710964, acc: 0.492188] 3396: [D loss: 0.701945, acc: 0.521484] [A loss: 0.849839, acc: 0.183594] 3397: [D loss: 0.693854, acc: 0.511719] [A loss: 0.751798, acc: 0.382812] 3398: [D loss: 0.713869, acc: 0.507812] [A loss: 0.837594, acc: 0.187500] 3399: [D loss: 0.688303, acc: 0.539062] [A loss: 0.790629, acc: 0.292969] 3400: [D loss: 0.713104, acc: 0.498047] [A loss: 0.854760, acc: 0.148438] 3401: [D loss: 0.700914, acc: 0.521484] [A loss: 0.756825, acc: 0.359375] 3402: [D loss: 0.687299, acc: 0.541016] [A loss: 0.853354, acc: 0.210938] 3403: [D loss: 0.688824, acc: 0.552734] [A loss: 0.786134, acc: 0.289062] 3404: [D loss: 0.691859, acc: 0.544922] [A loss: 0.850051, acc: 0.195312] 3405: [D loss: 0.692449, acc: 0.529297] [A loss: 0.782266, acc: 0.351562] 3406: [D loss: 0.690110, acc: 0.556641] [A loss: 0.811784, acc: 0.253906] 3407: [D loss: 0.686599, acc: 0.558594] [A loss: 0.820470, acc: 0.281250] 3408: [D loss: 0.707452, acc: 0.542969] [A loss: 0.777521, acc: 0.308594] 3409: [D loss: 0.690411, acc: 0.531250] [A loss: 0.883117, acc: 0.164062] 3410: [D loss: 0.699191, acc: 0.525391] [A loss: 0.752559, acc: 0.363281] 3411: [D loss: 0.692966, acc: 0.537109] [A loss: 0.844396, acc: 0.222656] 3412: [D loss: 0.698779, acc: 0.515625] [A loss: 0.816295, acc: 0.230469] 3413: [D loss: 0.692806, acc: 0.546875] [A loss: 0.833592, acc: 0.218750] 3414: [D loss: 0.696901, acc: 0.552734] [A loss: 0.799113, acc: 0.277344] 3415: [D loss: 0.681319, acc: 0.564453] [A loss: 0.805490, acc: 0.246094] 3416: [D loss: 0.689113, acc: 0.568359] [A loss: 0.826452, acc: 0.226562] 3417: [D loss: 0.690941, acc: 0.519531] [A loss: 0.761224, acc: 0.367188] 3418: [D loss: 0.697674, acc: 0.505859] [A loss: 0.925545, acc: 0.113281] 3419: [D loss: 0.704870, acc: 0.513672] [A loss: 0.636410, acc: 0.679688] 3420: [D loss: 0.758755, acc: 0.498047] [A loss: 1.129363, acc: 0.019531] 3421: [D loss: 0.701137, acc: 0.535156] [A loss: 0.748227, acc: 0.382812] 3422: [D loss: 0.710890, acc: 0.515625] [A loss: 0.806075, acc: 0.246094] 3423: [D loss: 0.698115, acc: 0.533203] [A loss: 0.770744, acc: 0.359375] 3424: [D loss: 0.695133, acc: 0.529297] [A loss: 0.827800, acc: 0.191406] 3425: [D loss: 0.696871, acc: 0.521484] [A loss: 0.784326, acc: 0.328125] 3426: [D loss: 0.710598, acc: 0.517578] [A loss: 0.786134, acc: 0.269531] 3427: [D loss: 0.691910, acc: 0.548828] [A loss: 0.811051, acc: 0.222656] 3428: [D loss: 0.692337, acc: 0.500000] [A loss: 0.780381, acc: 0.328125] 3429: [D loss: 0.697417, acc: 0.531250] [A loss: 0.806115, acc: 0.246094] 3430: [D loss: 0.691142, acc: 0.564453] [A loss: 0.819194, acc: 0.210938] 3431: [D loss: 0.694835, acc: 0.525391] [A loss: 0.816416, acc: 0.261719] 3432: [D loss: 0.693607, acc: 0.537109] [A loss: 0.839996, acc: 0.164062] 3433: [D loss: 0.697659, acc: 0.537109] [A loss: 0.799409, acc: 0.308594] 3434: [D loss: 0.701895, acc: 0.523438] [A loss: 0.953739, acc: 0.082031] 3435: [D loss: 0.690049, acc: 0.564453] [A loss: 0.687647, acc: 0.515625] 3436: [D loss: 0.711633, acc: 0.542969] [A loss: 0.960707, acc: 0.062500] 3437: [D loss: 0.692236, acc: 0.562500] [A loss: 0.727583, acc: 0.429688] 3438: [D loss: 0.705633, acc: 0.519531] [A loss: 0.843834, acc: 0.183594] 3439: [D loss: 0.694564, acc: 0.533203] [A loss: 0.742470, acc: 0.402344] 3440: [D loss: 0.707306, acc: 0.521484] [A loss: 0.892635, acc: 0.121094] 3441: [D loss: 0.691956, acc: 0.525391] [A loss: 0.714696, acc: 0.457031] 3442: [D loss: 0.708125, acc: 0.523438] [A loss: 0.870024, acc: 0.179688] 3443: [D loss: 0.687942, acc: 0.562500] [A loss: 0.734676, acc: 0.410156] 3444: [D loss: 0.709888, acc: 0.519531] [A loss: 0.833673, acc: 0.210938] 3445: [D loss: 0.696516, acc: 0.521484] [A loss: 0.830091, acc: 0.218750] 3446: [D loss: 0.687545, acc: 0.562500] [A loss: 0.761865, acc: 0.363281] 3447: [D loss: 0.691488, acc: 0.552734] [A loss: 0.921022, acc: 0.113281] 3448: [D loss: 0.697074, acc: 0.527344] [A loss: 0.710694, acc: 0.468750] 3449: [D loss: 0.700431, acc: 0.537109] [A loss: 0.898454, acc: 0.128906] 3450: [D loss: 0.691613, acc: 0.548828] [A loss: 0.694583, acc: 0.527344] 3451: [D loss: 0.719201, acc: 0.511719] [A loss: 0.965063, acc: 0.078125] 3452: [D loss: 0.695491, acc: 0.533203] [A loss: 0.703413, acc: 0.472656] 3453: [D loss: 0.703303, acc: 0.541016] [A loss: 0.814808, acc: 0.234375] 3454: [D loss: 0.701680, acc: 0.500000] [A loss: 0.773912, acc: 0.355469] 3455: [D loss: 0.692502, acc: 0.517578] [A loss: 0.768258, acc: 0.347656] 3456: [D loss: 0.702191, acc: 0.527344] [A loss: 0.829382, acc: 0.199219] 3457: [D loss: 0.693236, acc: 0.531250] [A loss: 0.782855, acc: 0.289062] 3458: [D loss: 0.690416, acc: 0.531250] [A loss: 0.824320, acc: 0.250000] 3459: [D loss: 0.694734, acc: 0.515625] [A loss: 0.748844, acc: 0.382812] 3460: [D loss: 0.722219, acc: 0.488281] [A loss: 0.959766, acc: 0.093750] 3461: [D loss: 0.690456, acc: 0.564453] [A loss: 0.704526, acc: 0.484375] 3462: [D loss: 0.710202, acc: 0.511719] [A loss: 0.832245, acc: 0.207031] 3463: [D loss: 0.690884, acc: 0.556641] [A loss: 0.737288, acc: 0.398438] 3464: [D loss: 0.716788, acc: 0.505859] [A loss: 0.868333, acc: 0.164062] 3465: [D loss: 0.688498, acc: 0.542969] [A loss: 0.774565, acc: 0.332031] 3466: [D loss: 0.697251, acc: 0.541016] [A loss: 0.807860, acc: 0.281250] 3467: [D loss: 0.698041, acc: 0.519531] [A loss: 0.789034, acc: 0.289062] 3468: [D loss: 0.690649, acc: 0.544922] [A loss: 0.898921, acc: 0.144531] 3469: [D loss: 0.706000, acc: 0.503906] [A loss: 0.715937, acc: 0.457031] 3470: [D loss: 0.710608, acc: 0.496094] [A loss: 0.970022, acc: 0.074219] 3471: [D loss: 0.691755, acc: 0.550781] [A loss: 0.708998, acc: 0.480469] 3472: [D loss: 0.707855, acc: 0.503906] [A loss: 0.832431, acc: 0.234375] 3473: [D loss: 0.693268, acc: 0.527344] [A loss: 0.870250, acc: 0.179688] 3474: [D loss: 0.705646, acc: 0.505859] [A loss: 0.805737, acc: 0.296875] 3475: [D loss: 0.681641, acc: 0.556641] [A loss: 0.842352, acc: 0.246094] 3476: [D loss: 0.679199, acc: 0.554688] [A loss: 0.848911, acc: 0.230469] 3477: [D loss: 0.694234, acc: 0.554688] [A loss: 0.913116, acc: 0.136719] 3478: [D loss: 0.694939, acc: 0.539062] [A loss: 0.679903, acc: 0.554688] 3479: [D loss: 0.702696, acc: 0.533203] [A loss: 0.909791, acc: 0.140625] 3480: [D loss: 0.708839, acc: 0.496094] [A loss: 0.830450, acc: 0.222656] 3481: [D loss: 0.700029, acc: 0.515625] [A loss: 0.860738, acc: 0.214844] 3482: [D loss: 0.701012, acc: 0.498047] [A loss: 0.777885, acc: 0.332031] 3483: [D loss: 0.676548, acc: 0.568359] [A loss: 0.911613, acc: 0.152344] 3484: [D loss: 0.689051, acc: 0.513672] [A loss: 0.691886, acc: 0.527344] 3485: [D loss: 0.721167, acc: 0.511719] [A loss: 0.967219, acc: 0.070312] 3486: [D loss: 0.695274, acc: 0.525391] [A loss: 0.681925, acc: 0.574219] 3487: [D loss: 0.722635, acc: 0.500000] [A loss: 0.889405, acc: 0.152344] 3488: [D loss: 0.708376, acc: 0.498047] [A loss: 0.781776, acc: 0.335938] 3489: [D loss: 0.701620, acc: 0.531250] [A loss: 0.882278, acc: 0.136719] 3490: [D loss: 0.698542, acc: 0.525391] [A loss: 0.733314, acc: 0.417969] 3491: [D loss: 0.710000, acc: 0.541016] [A loss: 0.935298, acc: 0.121094] 3492: [D loss: 0.707874, acc: 0.478516] [A loss: 0.742119, acc: 0.414062] 3493: [D loss: 0.703947, acc: 0.511719] [A loss: 0.912318, acc: 0.136719] 3494: [D loss: 0.691194, acc: 0.507812] [A loss: 0.730885, acc: 0.414062] 3495: [D loss: 0.700465, acc: 0.556641] [A loss: 0.917710, acc: 0.093750] 3496: [D loss: 0.673312, acc: 0.578125] [A loss: 0.686379, acc: 0.539062] 3497: [D loss: 0.705805, acc: 0.535156] [A loss: 0.905814, acc: 0.160156] 3498: [D loss: 0.692908, acc: 0.531250] [A loss: 0.716332, acc: 0.441406] 3499: [D loss: 0.698763, acc: 0.525391] [A loss: 0.792438, acc: 0.273438] 3500: [D loss: 0.697069, acc: 0.513672] [A loss: 0.783723, acc: 0.320312] 3501: [D loss: 0.692738, acc: 0.503906] [A loss: 0.794063, acc: 0.300781] 3502: [D loss: 0.693658, acc: 0.539062] [A loss: 0.827989, acc: 0.242188] 3503: [D loss: 0.683775, acc: 0.539062] [A loss: 0.775060, acc: 0.328125] 3504: [D loss: 0.704134, acc: 0.521484] [A loss: 0.915606, acc: 0.156250] 3505: [D loss: 0.698586, acc: 0.513672] [A loss: 0.721747, acc: 0.445312] 3506: [D loss: 0.703176, acc: 0.539062] [A loss: 0.922424, acc: 0.113281] 3507: [D loss: 0.699268, acc: 0.521484] [A loss: 0.710613, acc: 0.484375] 3508: [D loss: 0.708114, acc: 0.525391] [A loss: 0.841781, acc: 0.207031] 3509: [D loss: 0.684703, acc: 0.580078] [A loss: 0.745870, acc: 0.417969] 3510: [D loss: 0.700338, acc: 0.519531] [A loss: 0.822462, acc: 0.226562] 3511: [D loss: 0.688265, acc: 0.531250] [A loss: 0.758236, acc: 0.367188] 3512: [D loss: 0.704518, acc: 0.521484] [A loss: 0.986574, acc: 0.093750] 3513: [D loss: 0.701033, acc: 0.517578] [A loss: 0.706424, acc: 0.500000] 3514: [D loss: 0.717102, acc: 0.496094] [A loss: 0.980371, acc: 0.062500] 3515: [D loss: 0.685642, acc: 0.541016] [A loss: 0.712177, acc: 0.464844] 3516: [D loss: 0.721285, acc: 0.500000] [A loss: 0.870630, acc: 0.164062] 3517: [D loss: 0.689680, acc: 0.546875] [A loss: 0.721651, acc: 0.496094] 3518: [D loss: 0.693075, acc: 0.546875] [A loss: 0.817617, acc: 0.246094] 3519: [D loss: 0.690287, acc: 0.554688] [A loss: 0.737521, acc: 0.433594] 3520: [D loss: 0.701975, acc: 0.542969] [A loss: 0.861917, acc: 0.183594] 3521: [D loss: 0.709137, acc: 0.503906] [A loss: 0.811871, acc: 0.285156] 3522: [D loss: 0.703821, acc: 0.480469] [A loss: 0.801471, acc: 0.261719] 3523: [D loss: 0.702886, acc: 0.531250] [A loss: 0.888926, acc: 0.167969] 3524: [D loss: 0.693511, acc: 0.535156] [A loss: 0.750395, acc: 0.371094] 3525: [D loss: 0.695607, acc: 0.521484] [A loss: 0.921171, acc: 0.117188] 3526: [D loss: 0.689193, acc: 0.542969] [A loss: 0.752609, acc: 0.363281] 3527: [D loss: 0.701362, acc: 0.544922] [A loss: 0.883220, acc: 0.171875] 3528: [D loss: 0.692295, acc: 0.544922] [A loss: 0.757067, acc: 0.394531] 3529: [D loss: 0.706345, acc: 0.527344] [A loss: 0.853148, acc: 0.207031] 3530: [D loss: 0.691610, acc: 0.529297] [A loss: 0.713179, acc: 0.457031] 3531: [D loss: 0.708355, acc: 0.533203] [A loss: 0.925543, acc: 0.101562] 3532: [D loss: 0.696264, acc: 0.515625] [A loss: 0.757019, acc: 0.371094] 3533: [D loss: 0.707282, acc: 0.533203] [A loss: 0.883483, acc: 0.121094] 3534: [D loss: 0.693616, acc: 0.544922] [A loss: 0.757061, acc: 0.351562] 3535: [D loss: 0.699690, acc: 0.523438] [A loss: 0.892723, acc: 0.128906] 3536: [D loss: 0.703637, acc: 0.529297] [A loss: 0.739522, acc: 0.402344] 3537: [D loss: 0.690600, acc: 0.539062] [A loss: 0.884130, acc: 0.144531] 3538: [D loss: 0.694841, acc: 0.527344] [A loss: 0.778885, acc: 0.320312] 3539: [D loss: 0.693727, acc: 0.552734] [A loss: 0.839088, acc: 0.199219] 3540: [D loss: 0.682742, acc: 0.556641] [A loss: 0.773399, acc: 0.324219] 3541: [D loss: 0.696553, acc: 0.521484] [A loss: 0.829335, acc: 0.265625] 3542: [D loss: 0.689567, acc: 0.556641] [A loss: 0.825921, acc: 0.218750] 3543: [D loss: 0.680028, acc: 0.560547] [A loss: 0.761277, acc: 0.339844] 3544: [D loss: 0.703924, acc: 0.541016] [A loss: 0.916244, acc: 0.117188] 3545: [D loss: 0.692428, acc: 0.531250] [A loss: 0.703985, acc: 0.480469] 3546: [D loss: 0.708810, acc: 0.537109] [A loss: 0.905817, acc: 0.140625] 3547: [D loss: 0.690636, acc: 0.529297] [A loss: 0.732512, acc: 0.441406] 3548: [D loss: 0.702600, acc: 0.529297] [A loss: 0.896340, acc: 0.144531] 3549: [D loss: 0.705099, acc: 0.503906] [A loss: 0.790591, acc: 0.324219] 3550: [D loss: 0.686315, acc: 0.578125] [A loss: 0.790873, acc: 0.304688] 3551: [D loss: 0.712789, acc: 0.496094] [A loss: 0.865082, acc: 0.191406] 3552: [D loss: 0.693922, acc: 0.517578] [A loss: 0.799297, acc: 0.304688] 3553: [D loss: 0.694781, acc: 0.542969] [A loss: 0.868961, acc: 0.187500] 3554: [D loss: 0.685361, acc: 0.546875] [A loss: 0.762492, acc: 0.371094] 3555: [D loss: 0.711175, acc: 0.527344] [A loss: 0.967259, acc: 0.089844] 3556: [D loss: 0.695175, acc: 0.525391] [A loss: 0.659861, acc: 0.613281] 3557: [D loss: 0.720120, acc: 0.507812] [A loss: 0.950522, acc: 0.101562] 3558: [D loss: 0.696651, acc: 0.556641] [A loss: 0.754429, acc: 0.382812] 3559: [D loss: 0.711881, acc: 0.519531] [A loss: 0.784510, acc: 0.343750] 3560: [D loss: 0.698936, acc: 0.537109] [A loss: 0.842157, acc: 0.210938] 3561: [D loss: 0.696806, acc: 0.523438] [A loss: 0.824297, acc: 0.230469] 3562: [D loss: 0.684928, acc: 0.560547] [A loss: 0.814461, acc: 0.246094] 3563: [D loss: 0.690256, acc: 0.541016] [A loss: 0.831524, acc: 0.234375] 3564: [D loss: 0.683668, acc: 0.566406] [A loss: 0.770024, acc: 0.363281] 3565: [D loss: 0.690329, acc: 0.560547] [A loss: 0.900033, acc: 0.136719] 3566: [D loss: 0.701817, acc: 0.507812] [A loss: 0.736438, acc: 0.445312] 3567: [D loss: 0.715500, acc: 0.505859] [A loss: 0.931179, acc: 0.082031] 3568: [D loss: 0.682335, acc: 0.535156] [A loss: 0.684330, acc: 0.562500] 3569: [D loss: 0.713851, acc: 0.523438] [A loss: 0.923892, acc: 0.117188] 3570: [D loss: 0.697780, acc: 0.548828] [A loss: 0.713226, acc: 0.460938] 3571: [D loss: 0.722830, acc: 0.500000] [A loss: 0.820299, acc: 0.265625] 3572: [D loss: 0.693346, acc: 0.539062] [A loss: 0.789189, acc: 0.292969] 3573: [D loss: 0.684147, acc: 0.566406] [A loss: 0.722947, acc: 0.460938] 3574: [D loss: 0.720480, acc: 0.513672] [A loss: 0.924713, acc: 0.148438] 3575: [D loss: 0.697543, acc: 0.535156] [A loss: 0.762248, acc: 0.335938] 3576: [D loss: 0.704392, acc: 0.507812] [A loss: 0.860574, acc: 0.210938] 3577: [D loss: 0.683476, acc: 0.550781] [A loss: 0.753761, acc: 0.375000] 3578: [D loss: 0.713986, acc: 0.523438] [A loss: 0.943801, acc: 0.097656] 3579: [D loss: 0.697742, acc: 0.535156] [A loss: 0.729625, acc: 0.425781] 3580: [D loss: 0.710135, acc: 0.513672] [A loss: 0.893064, acc: 0.160156] 3581: [D loss: 0.694731, acc: 0.537109] [A loss: 0.743565, acc: 0.402344] 3582: [D loss: 0.707852, acc: 0.521484] [A loss: 0.904582, acc: 0.125000] 3583: [D loss: 0.698758, acc: 0.503906] [A loss: 0.695259, acc: 0.496094] 3584: [D loss: 0.711748, acc: 0.513672] [A loss: 0.866862, acc: 0.175781] 3585: [D loss: 0.689004, acc: 0.550781] [A loss: 0.729461, acc: 0.390625] 3586: [D loss: 0.711883, acc: 0.509766] [A loss: 0.913894, acc: 0.128906] 3587: [D loss: 0.691612, acc: 0.531250] [A loss: 0.718528, acc: 0.472656] 3588: [D loss: 0.706881, acc: 0.556641] [A loss: 0.908302, acc: 0.128906] 3589: [D loss: 0.692703, acc: 0.544922] [A loss: 0.736062, acc: 0.425781] 3590: [D loss: 0.700799, acc: 0.523438] [A loss: 0.837554, acc: 0.214844] 3591: [D loss: 0.684635, acc: 0.537109] [A loss: 0.737291, acc: 0.421875] 3592: [D loss: 0.704018, acc: 0.535156] [A loss: 0.782484, acc: 0.324219] 3593: [D loss: 0.705642, acc: 0.501953] [A loss: 0.824080, acc: 0.218750] 3594: [D loss: 0.694197, acc: 0.531250] [A loss: 0.882910, acc: 0.136719] 3595: [D loss: 0.703056, acc: 0.523438] [A loss: 0.778743, acc: 0.296875] 3596: [D loss: 0.708511, acc: 0.521484] [A loss: 0.856365, acc: 0.191406] 3597: [D loss: 0.687223, acc: 0.539062] [A loss: 0.751787, acc: 0.359375] 3598: [D loss: 0.702166, acc: 0.523438] [A loss: 0.874882, acc: 0.148438] 3599: [D loss: 0.691213, acc: 0.541016] [A loss: 0.728590, acc: 0.437500] 3600: [D loss: 0.715875, acc: 0.503906] [A loss: 0.895619, acc: 0.148438] 3601: [D loss: 0.696285, acc: 0.525391] [A loss: 0.795756, acc: 0.257812] 3602: [D loss: 0.694926, acc: 0.550781] [A loss: 0.941139, acc: 0.093750] 3603: [D loss: 0.701893, acc: 0.531250] [A loss: 0.751044, acc: 0.375000] 3604: [D loss: 0.699815, acc: 0.537109] [A loss: 0.910751, acc: 0.156250] 3605: [D loss: 0.704176, acc: 0.515625] [A loss: 0.751167, acc: 0.406250] 3606: [D loss: 0.699409, acc: 0.523438] [A loss: 0.879779, acc: 0.167969] 3607: [D loss: 0.693680, acc: 0.546875] [A loss: 0.725630, acc: 0.453125] 3608: [D loss: 0.721928, acc: 0.474609] [A loss: 0.884185, acc: 0.128906] 3609: [D loss: 0.683782, acc: 0.531250] [A loss: 0.734030, acc: 0.429688] 3610: [D loss: 0.713111, acc: 0.525391] [A loss: 0.910219, acc: 0.101562] 3611: [D loss: 0.699557, acc: 0.521484] [A loss: 0.769105, acc: 0.316406] 3612: [D loss: 0.714350, acc: 0.484375] [A loss: 0.804813, acc: 0.250000] 3613: [D loss: 0.683447, acc: 0.564453] [A loss: 0.828537, acc: 0.203125] 3614: [D loss: 0.694396, acc: 0.541016] [A loss: 0.760947, acc: 0.351562] 3615: [D loss: 0.696269, acc: 0.539062] [A loss: 0.907247, acc: 0.113281] 3616: [D loss: 0.696328, acc: 0.539062] [A loss: 0.690810, acc: 0.500000] 3617: [D loss: 0.708037, acc: 0.535156] [A loss: 0.974344, acc: 0.078125] 3618: [D loss: 0.686905, acc: 0.544922] [A loss: 0.704372, acc: 0.507812] 3619: [D loss: 0.712849, acc: 0.501953] [A loss: 0.850603, acc: 0.210938] 3620: [D loss: 0.693916, acc: 0.544922] [A loss: 0.777394, acc: 0.343750] 3621: [D loss: 0.699546, acc: 0.501953] [A loss: 0.889327, acc: 0.160156] 3622: [D loss: 0.699739, acc: 0.525391] [A loss: 0.776305, acc: 0.312500] 3623: [D loss: 0.694306, acc: 0.546875] [A loss: 0.866515, acc: 0.164062] 3624: [D loss: 0.680571, acc: 0.564453] [A loss: 0.783753, acc: 0.324219] 3625: [D loss: 0.686435, acc: 0.527344] [A loss: 0.766870, acc: 0.363281] 3626: [D loss: 0.682459, acc: 0.570312] [A loss: 0.838330, acc: 0.238281] 3627: [D loss: 0.698001, acc: 0.552734] [A loss: 0.680375, acc: 0.527344] 3628: [D loss: 0.718080, acc: 0.533203] [A loss: 0.972598, acc: 0.085938] 3629: [D loss: 0.694425, acc: 0.535156] [A loss: 0.722554, acc: 0.472656] 3630: [D loss: 0.707693, acc: 0.542969] [A loss: 0.855080, acc: 0.160156] 3631: [D loss: 0.695785, acc: 0.537109] [A loss: 0.763639, acc: 0.304688] 3632: [D loss: 0.701725, acc: 0.527344] [A loss: 0.909788, acc: 0.140625] 3633: [D loss: 0.693103, acc: 0.503906] [A loss: 0.733066, acc: 0.457031] 3634: [D loss: 0.702701, acc: 0.513672] [A loss: 0.865053, acc: 0.171875] 3635: [D loss: 0.692219, acc: 0.525391] [A loss: 0.745153, acc: 0.394531] 3636: [D loss: 0.691912, acc: 0.525391] [A loss: 0.865424, acc: 0.171875] 3637: [D loss: 0.688924, acc: 0.562500] [A loss: 0.767967, acc: 0.339844] 3638: [D loss: 0.711209, acc: 0.496094] [A loss: 0.854172, acc: 0.191406] 3639: [D loss: 0.693855, acc: 0.539062] [A loss: 0.754409, acc: 0.363281] 3640: [D loss: 0.685738, acc: 0.550781] [A loss: 0.895927, acc: 0.125000] 3641: [D loss: 0.701408, acc: 0.523438] [A loss: 0.752950, acc: 0.343750] 3642: [D loss: 0.709916, acc: 0.519531] [A loss: 0.961191, acc: 0.058594] 3643: [D loss: 0.700410, acc: 0.525391] [A loss: 0.710417, acc: 0.476562] 3644: [D loss: 0.706798, acc: 0.501953] [A loss: 0.933222, acc: 0.105469] 3645: [D loss: 0.693895, acc: 0.521484] [A loss: 0.646486, acc: 0.656250] 3646: [D loss: 0.716019, acc: 0.521484] [A loss: 0.870204, acc: 0.191406] 3647: [D loss: 0.694328, acc: 0.533203] [A loss: 0.716468, acc: 0.476562] 3648: [D loss: 0.706757, acc: 0.511719] [A loss: 0.857581, acc: 0.144531] 3649: [D loss: 0.704199, acc: 0.521484] [A loss: 0.811001, acc: 0.246094] 3650: [D loss: 0.685767, acc: 0.537109] [A loss: 0.887044, acc: 0.160156] 3651: [D loss: 0.690422, acc: 0.550781] [A loss: 0.741931, acc: 0.371094] 3652: [D loss: 0.691870, acc: 0.554688] [A loss: 0.904336, acc: 0.156250] 3653: [D loss: 0.675405, acc: 0.566406] [A loss: 0.731133, acc: 0.429688] 3654: [D loss: 0.706249, acc: 0.515625] [A loss: 0.822276, acc: 0.242188] 3655: [D loss: 0.695411, acc: 0.537109] [A loss: 0.747050, acc: 0.382812] 3656: [D loss: 0.700335, acc: 0.525391] [A loss: 0.809590, acc: 0.281250] 3657: [D loss: 0.694244, acc: 0.554688] [A loss: 0.834491, acc: 0.234375] 3658: [D loss: 0.686071, acc: 0.576172] [A loss: 0.895133, acc: 0.164062] 3659: [D loss: 0.705646, acc: 0.509766] [A loss: 0.764194, acc: 0.339844] 3660: [D loss: 0.698661, acc: 0.544922] [A loss: 0.934756, acc: 0.105469] 3661: [D loss: 0.684243, acc: 0.566406] [A loss: 0.767696, acc: 0.355469] 3662: [D loss: 0.699889, acc: 0.519531] [A loss: 0.850428, acc: 0.199219] 3663: [D loss: 0.684026, acc: 0.564453] [A loss: 0.805066, acc: 0.269531] 3664: [D loss: 0.687149, acc: 0.548828] [A loss: 0.803732, acc: 0.253906] 3665: [D loss: 0.693931, acc: 0.542969] [A loss: 0.779754, acc: 0.316406] 3666: [D loss: 0.687312, acc: 0.570312] [A loss: 0.837568, acc: 0.214844] 3667: [D loss: 0.695888, acc: 0.550781] [A loss: 0.776953, acc: 0.339844] 3668: [D loss: 0.701212, acc: 0.511719] [A loss: 0.881342, acc: 0.167969] 3669: [D loss: 0.700426, acc: 0.509766] [A loss: 0.786286, acc: 0.281250] 3670: [D loss: 0.707299, acc: 0.509766] [A loss: 0.839792, acc: 0.230469] 3671: [D loss: 0.688209, acc: 0.572266] [A loss: 0.761745, acc: 0.339844] 3672: [D loss: 0.698743, acc: 0.521484] [A loss: 0.931207, acc: 0.152344] 3673: [D loss: 0.702254, acc: 0.511719] [A loss: 0.662168, acc: 0.593750] 3674: [D loss: 0.738896, acc: 0.503906] [A loss: 1.039985, acc: 0.070312] 3675: [D loss: 0.712086, acc: 0.500000] [A loss: 0.736879, acc: 0.406250] 3676: [D loss: 0.698830, acc: 0.523438] [A loss: 0.783215, acc: 0.304688] 3677: [D loss: 0.698240, acc: 0.554688] [A loss: 0.769768, acc: 0.335938] 3678: [D loss: 0.694702, acc: 0.556641] [A loss: 0.838400, acc: 0.218750] 3679: [D loss: 0.688191, acc: 0.558594] [A loss: 0.830272, acc: 0.207031] 3680: [D loss: 0.695126, acc: 0.523438] [A loss: 0.783158, acc: 0.292969] 3681: [D loss: 0.698646, acc: 0.531250] [A loss: 0.911555, acc: 0.125000] 3682: [D loss: 0.686504, acc: 0.566406] [A loss: 0.772737, acc: 0.335938] 3683: [D loss: 0.691480, acc: 0.560547] [A loss: 0.865993, acc: 0.199219] 3684: [D loss: 0.684960, acc: 0.546875] [A loss: 0.735044, acc: 0.417969] 3685: [D loss: 0.700829, acc: 0.525391] [A loss: 0.957720, acc: 0.089844] 3686: [D loss: 0.701193, acc: 0.501953] [A loss: 0.678415, acc: 0.546875] 3687: [D loss: 0.708004, acc: 0.527344] [A loss: 0.875192, acc: 0.117188] 3688: [D loss: 0.700227, acc: 0.519531] [A loss: 0.753640, acc: 0.363281] 3689: [D loss: 0.709118, acc: 0.517578] [A loss: 0.857145, acc: 0.187500] 3690: [D loss: 0.692767, acc: 0.531250] [A loss: 0.756640, acc: 0.355469] 3691: [D loss: 0.693490, acc: 0.552734] [A loss: 0.872172, acc: 0.175781] 3692: [D loss: 0.694074, acc: 0.541016] [A loss: 0.761018, acc: 0.359375] 3693: [D loss: 0.705251, acc: 0.521484] [A loss: 0.859358, acc: 0.191406] 3694: [D loss: 0.688251, acc: 0.521484] [A loss: 0.749154, acc: 0.394531] 3695: [D loss: 0.715942, acc: 0.511719] [A loss: 0.936279, acc: 0.085938] 3696: [D loss: 0.700894, acc: 0.527344] [A loss: 0.670950, acc: 0.582031] 3697: [D loss: 0.733181, acc: 0.496094] [A loss: 0.907490, acc: 0.105469] 3698: [D loss: 0.690389, acc: 0.533203] [A loss: 0.694154, acc: 0.515625] 3699: [D loss: 0.710223, acc: 0.519531] [A loss: 0.822668, acc: 0.210938] 3700: [D loss: 0.701214, acc: 0.533203] [A loss: 0.767783, acc: 0.328125] 3701: [D loss: 0.715853, acc: 0.513672] [A loss: 0.953155, acc: 0.109375] 3702: [D loss: 0.692828, acc: 0.552734] [A loss: 0.689358, acc: 0.531250] 3703: [D loss: 0.714183, acc: 0.509766] [A loss: 0.864153, acc: 0.179688] 3704: [D loss: 0.689605, acc: 0.523438] [A loss: 0.759174, acc: 0.351562] 3705: [D loss: 0.705441, acc: 0.544922] [A loss: 0.800154, acc: 0.265625] 3706: [D loss: 0.694028, acc: 0.533203] [A loss: 0.822284, acc: 0.257812] 3707: [D loss: 0.697719, acc: 0.539062] [A loss: 0.807900, acc: 0.246094] 3708: [D loss: 0.687018, acc: 0.550781] [A loss: 0.785918, acc: 0.312500] 3709: [D loss: 0.690422, acc: 0.554688] [A loss: 0.771027, acc: 0.324219] 3710: [D loss: 0.691039, acc: 0.541016] [A loss: 0.846341, acc: 0.210938] 3711: [D loss: 0.691018, acc: 0.537109] [A loss: 0.805774, acc: 0.269531] 3712: [D loss: 0.694061, acc: 0.535156] [A loss: 0.813510, acc: 0.273438] 3713: [D loss: 0.706161, acc: 0.513672] [A loss: 0.803781, acc: 0.296875] 3714: [D loss: 0.695006, acc: 0.527344] [A loss: 0.999136, acc: 0.074219] 3715: [D loss: 0.697752, acc: 0.515625] [A loss: 0.686442, acc: 0.570312] 3716: [D loss: 0.711550, acc: 0.513672] [A loss: 0.831909, acc: 0.214844] 3717: [D loss: 0.689945, acc: 0.544922] [A loss: 0.836591, acc: 0.195312] 3718: [D loss: 0.701865, acc: 0.500000] [A loss: 0.782979, acc: 0.277344] 3719: [D loss: 0.696593, acc: 0.550781] [A loss: 0.938077, acc: 0.085938] 3720: [D loss: 0.693149, acc: 0.535156] [A loss: 0.772528, acc: 0.304688] 3721: [D loss: 0.713887, acc: 0.523438] [A loss: 0.866474, acc: 0.144531] 3722: [D loss: 0.691529, acc: 0.542969] [A loss: 0.776420, acc: 0.308594] 3723: [D loss: 0.701371, acc: 0.535156] [A loss: 0.858203, acc: 0.160156] 3724: [D loss: 0.691259, acc: 0.546875] [A loss: 0.724559, acc: 0.437500] 3725: [D loss: 0.712877, acc: 0.507812] [A loss: 0.902812, acc: 0.109375] 3726: [D loss: 0.691365, acc: 0.544922] [A loss: 0.752726, acc: 0.378906] 3727: [D loss: 0.710047, acc: 0.535156] [A loss: 0.822134, acc: 0.234375] 3728: [D loss: 0.679381, acc: 0.566406] [A loss: 0.758403, acc: 0.332031] 3729: [D loss: 0.706595, acc: 0.529297] [A loss: 0.912541, acc: 0.125000] 3730: [D loss: 0.702612, acc: 0.513672] [A loss: 0.710041, acc: 0.484375] 3731: [D loss: 0.711245, acc: 0.541016] [A loss: 0.975174, acc: 0.082031] 3732: [D loss: 0.688121, acc: 0.542969] [A loss: 0.710892, acc: 0.468750] 3733: [D loss: 0.712127, acc: 0.527344] [A loss: 0.800975, acc: 0.285156] 3734: [D loss: 0.704289, acc: 0.517578] [A loss: 0.874826, acc: 0.148438] 3735: [D loss: 0.698066, acc: 0.548828] [A loss: 0.737268, acc: 0.398438] 3736: [D loss: 0.708897, acc: 0.537109] [A loss: 0.887548, acc: 0.187500] 3737: [D loss: 0.695780, acc: 0.511719] [A loss: 0.749523, acc: 0.359375] 3738: [D loss: 0.717153, acc: 0.498047] [A loss: 0.910621, acc: 0.089844] 3739: [D loss: 0.684703, acc: 0.550781] [A loss: 0.759094, acc: 0.371094] 3740: [D loss: 0.710256, acc: 0.519531] [A loss: 0.881788, acc: 0.183594] 3741: [D loss: 0.687874, acc: 0.568359] [A loss: 0.712668, acc: 0.453125] 3742: [D loss: 0.715190, acc: 0.511719] [A loss: 0.865797, acc: 0.156250] 3743: [D loss: 0.700466, acc: 0.509766] [A loss: 0.747889, acc: 0.394531] 3744: [D loss: 0.711911, acc: 0.511719] [A loss: 0.791645, acc: 0.273438] 3745: [D loss: 0.700028, acc: 0.521484] [A loss: 0.895679, acc: 0.128906] 3746: [D loss: 0.697762, acc: 0.517578] [A loss: 0.722884, acc: 0.441406] 3747: [D loss: 0.698182, acc: 0.531250] [A loss: 0.865667, acc: 0.175781] 3748: [D loss: 0.686355, acc: 0.546875] [A loss: 0.727489, acc: 0.421875] 3749: [D loss: 0.701665, acc: 0.507812] [A loss: 0.832648, acc: 0.234375] 3750: [D loss: 0.685469, acc: 0.529297] [A loss: 0.815606, acc: 0.250000] 3751: [D loss: 0.689691, acc: 0.556641] [A loss: 0.756101, acc: 0.382812] 3752: [D loss: 0.707991, acc: 0.517578] [A loss: 0.858669, acc: 0.160156] 3753: [D loss: 0.683126, acc: 0.542969] [A loss: 0.735755, acc: 0.429688] 3754: [D loss: 0.704948, acc: 0.539062] [A loss: 0.889052, acc: 0.160156] 3755: [D loss: 0.705004, acc: 0.500000] [A loss: 0.736658, acc: 0.402344] 3756: [D loss: 0.697711, acc: 0.552734] [A loss: 0.908668, acc: 0.125000] 3757: [D loss: 0.698906, acc: 0.500000] [A loss: 0.778293, acc: 0.320312] 3758: [D loss: 0.694069, acc: 0.546875] [A loss: 0.847781, acc: 0.222656] 3759: [D loss: 0.696745, acc: 0.529297] [A loss: 0.803200, acc: 0.289062] 3760: [D loss: 0.698944, acc: 0.546875] [A loss: 0.782841, acc: 0.320312] 3761: [D loss: 0.693762, acc: 0.546875] [A loss: 0.761170, acc: 0.367188] 3762: [D loss: 0.722375, acc: 0.498047] [A loss: 0.931895, acc: 0.132812] 3763: [D loss: 0.697373, acc: 0.525391] [A loss: 0.734425, acc: 0.429688] 3764: [D loss: 0.706153, acc: 0.521484] [A loss: 0.795526, acc: 0.289062] 3765: [D loss: 0.706070, acc: 0.517578] [A loss: 0.909515, acc: 0.132812] 3766: [D loss: 0.704690, acc: 0.521484] [A loss: 0.739485, acc: 0.406250] 3767: [D loss: 0.707708, acc: 0.517578] [A loss: 0.890109, acc: 0.121094] 3768: [D loss: 0.694587, acc: 0.517578] [A loss: 0.742908, acc: 0.390625] 3769: [D loss: 0.715061, acc: 0.494141] [A loss: 1.002019, acc: 0.046875] 3770: [D loss: 0.683179, acc: 0.570312] [A loss: 0.739519, acc: 0.410156] 3771: [D loss: 0.690407, acc: 0.533203] [A loss: 0.845393, acc: 0.207031] 3772: [D loss: 0.710943, acc: 0.478516] [A loss: 0.773136, acc: 0.296875] 3773: [D loss: 0.710741, acc: 0.542969] [A loss: 0.844626, acc: 0.210938] 3774: [D loss: 0.700485, acc: 0.484375] [A loss: 0.758151, acc: 0.339844] 3775: [D loss: 0.694664, acc: 0.544922] [A loss: 0.879539, acc: 0.136719] 3776: [D loss: 0.689384, acc: 0.533203] [A loss: 0.816032, acc: 0.230469] 3777: [D loss: 0.694875, acc: 0.554688] [A loss: 0.823007, acc: 0.246094] 3778: [D loss: 0.706757, acc: 0.513672] [A loss: 0.809646, acc: 0.242188] 3779: [D loss: 0.682790, acc: 0.552734] [A loss: 0.889731, acc: 0.164062] 3780: [D loss: 0.691994, acc: 0.537109] [A loss: 0.806375, acc: 0.277344] 3781: [D loss: 0.701884, acc: 0.531250] [A loss: 0.801036, acc: 0.281250] 3782: [D loss: 0.707498, acc: 0.501953] [A loss: 0.937834, acc: 0.117188] 3783: [D loss: 0.688571, acc: 0.560547] [A loss: 0.751296, acc: 0.406250] 3784: [D loss: 0.706273, acc: 0.498047] [A loss: 0.981688, acc: 0.062500] 3785: [D loss: 0.682836, acc: 0.556641] [A loss: 0.679268, acc: 0.531250] 3786: [D loss: 0.729883, acc: 0.494141] [A loss: 0.868143, acc: 0.171875] 3787: [D loss: 0.698670, acc: 0.531250] [A loss: 0.809974, acc: 0.265625] 3788: [D loss: 0.703489, acc: 0.525391] [A loss: 0.899254, acc: 0.148438] 3789: [D loss: 0.697654, acc: 0.535156] [A loss: 0.790402, acc: 0.312500] 3790: [D loss: 0.692099, acc: 0.525391] [A loss: 0.854421, acc: 0.218750] 3791: [D loss: 0.699359, acc: 0.544922] [A loss: 0.791736, acc: 0.320312] 3792: [D loss: 0.691774, acc: 0.552734] [A loss: 0.818592, acc: 0.238281] 3793: [D loss: 0.703035, acc: 0.511719] [A loss: 0.804473, acc: 0.277344] 3794: [D loss: 0.695044, acc: 0.519531] [A loss: 0.803494, acc: 0.289062] 3795: [D loss: 0.694534, acc: 0.548828] [A loss: 0.799417, acc: 0.273438] 3796: [D loss: 0.712398, acc: 0.498047] [A loss: 0.811229, acc: 0.253906] 3797: [D loss: 0.688053, acc: 0.562500] [A loss: 0.848038, acc: 0.191406] 3798: [D loss: 0.693288, acc: 0.525391] [A loss: 0.883994, acc: 0.140625] 3799: [D loss: 0.695787, acc: 0.537109] [A loss: 0.800560, acc: 0.269531] 3800: [D loss: 0.696330, acc: 0.548828] [A loss: 0.894836, acc: 0.117188] 3801: [D loss: 0.689281, acc: 0.539062] [A loss: 0.754791, acc: 0.355469] 3802: [D loss: 0.711760, acc: 0.503906] [A loss: 0.986785, acc: 0.058594] 3803: [D loss: 0.691879, acc: 0.527344] [A loss: 0.685353, acc: 0.566406] 3804: [D loss: 0.714264, acc: 0.509766] [A loss: 0.993925, acc: 0.062500] 3805: [D loss: 0.702976, acc: 0.525391] [A loss: 0.700425, acc: 0.527344] 3806: [D loss: 0.715933, acc: 0.521484] [A loss: 0.837576, acc: 0.226562] 3807: [D loss: 0.681529, acc: 0.566406] [A loss: 0.764458, acc: 0.363281] 3808: [D loss: 0.699507, acc: 0.531250] [A loss: 0.843672, acc: 0.207031] 3809: [D loss: 0.691414, acc: 0.548828] [A loss: 0.775259, acc: 0.328125] 3810: [D loss: 0.702087, acc: 0.521484] [A loss: 0.962418, acc: 0.074219] 3811: [D loss: 0.711281, acc: 0.501953] [A loss: 0.690362, acc: 0.511719] 3812: [D loss: 0.713763, acc: 0.523438] [A loss: 1.079223, acc: 0.027344] 3813: [D loss: 0.720164, acc: 0.492188] [A loss: 0.679389, acc: 0.578125] 3814: [D loss: 0.710907, acc: 0.509766] [A loss: 0.823107, acc: 0.250000] 3815: [D loss: 0.693617, acc: 0.541016] [A loss: 0.750229, acc: 0.359375] 3816: [D loss: 0.697308, acc: 0.552734] [A loss: 0.764474, acc: 0.347656] 3817: [D loss: 0.694936, acc: 0.546875] [A loss: 0.817380, acc: 0.238281] 3818: [D loss: 0.694485, acc: 0.521484] [A loss: 0.823770, acc: 0.234375] 3819: [D loss: 0.701672, acc: 0.523438] [A loss: 0.831846, acc: 0.246094] 3820: [D loss: 0.689992, acc: 0.535156] [A loss: 0.838590, acc: 0.183594] 3821: [D loss: 0.705208, acc: 0.521484] [A loss: 0.819793, acc: 0.250000] 3822: [D loss: 0.683428, acc: 0.572266] [A loss: 0.856473, acc: 0.203125] 3823: [D loss: 0.697953, acc: 0.490234] [A loss: 0.805511, acc: 0.281250] 3824: [D loss: 0.692543, acc: 0.550781] [A loss: 0.876289, acc: 0.203125] 3825: [D loss: 0.685135, acc: 0.576172] [A loss: 0.848988, acc: 0.187500] 3826: [D loss: 0.708220, acc: 0.498047] [A loss: 0.848037, acc: 0.218750] 3827: [D loss: 0.695668, acc: 0.539062] [A loss: 0.821540, acc: 0.242188] 3828: [D loss: 0.698339, acc: 0.533203] [A loss: 0.814632, acc: 0.285156] 3829: [D loss: 0.711629, acc: 0.472656] [A loss: 0.878046, acc: 0.175781] 3830: [D loss: 0.704121, acc: 0.507812] [A loss: 0.761886, acc: 0.359375] 3831: [D loss: 0.706307, acc: 0.523438] [A loss: 0.938375, acc: 0.105469] 3832: [D loss: 0.701759, acc: 0.501953] [A loss: 0.697340, acc: 0.515625] 3833: [D loss: 0.710935, acc: 0.507812] [A loss: 0.828488, acc: 0.222656] 3834: [D loss: 0.696610, acc: 0.533203] [A loss: 0.791154, acc: 0.269531] 3835: [D loss: 0.703722, acc: 0.513672] [A loss: 0.885398, acc: 0.160156] 3836: [D loss: 0.688369, acc: 0.535156] [A loss: 0.813314, acc: 0.257812] 3837: [D loss: 0.695515, acc: 0.523438] [A loss: 0.863990, acc: 0.191406] 3838: [D loss: 0.676224, acc: 0.564453] [A loss: 0.805426, acc: 0.238281] 3839: [D loss: 0.709849, acc: 0.505859] [A loss: 0.909001, acc: 0.121094] 3840: [D loss: 0.697097, acc: 0.531250] [A loss: 0.762710, acc: 0.351562] 3841: [D loss: 0.690237, acc: 0.546875] [A loss: 0.936582, acc: 0.105469] 3842: [D loss: 0.692402, acc: 0.533203] [A loss: 0.726070, acc: 0.437500] 3843: [D loss: 0.707087, acc: 0.521484] [A loss: 0.960198, acc: 0.082031] 3844: [D loss: 0.699157, acc: 0.517578] [A loss: 0.793351, acc: 0.269531] 3845: [D loss: 0.709955, acc: 0.505859] [A loss: 0.881538, acc: 0.167969] 3846: [D loss: 0.691395, acc: 0.533203] [A loss: 0.725599, acc: 0.457031] 3847: [D loss: 0.707669, acc: 0.521484] [A loss: 0.878550, acc: 0.160156] 3848: [D loss: 0.692057, acc: 0.544922] [A loss: 0.742061, acc: 0.425781] 3849: [D loss: 0.706850, acc: 0.525391] [A loss: 0.878716, acc: 0.183594] 3850: [D loss: 0.712849, acc: 0.480469] [A loss: 0.727850, acc: 0.472656] 3851: [D loss: 0.698065, acc: 0.537109] [A loss: 0.861353, acc: 0.167969] 3852: [D loss: 0.699777, acc: 0.529297] [A loss: 0.773125, acc: 0.343750] 3853: [D loss: 0.717057, acc: 0.492188] [A loss: 0.849470, acc: 0.187500] 3854: [D loss: 0.694213, acc: 0.507812] [A loss: 0.807119, acc: 0.285156] 3855: [D loss: 0.685474, acc: 0.562500] [A loss: 0.816800, acc: 0.226562] 3856: [D loss: 0.693268, acc: 0.515625] [A loss: 0.877515, acc: 0.148438] 3857: [D loss: 0.693133, acc: 0.537109] [A loss: 0.711524, acc: 0.472656] 3858: [D loss: 0.717162, acc: 0.515625] [A loss: 0.950213, acc: 0.121094] 3859: [D loss: 0.698468, acc: 0.515625] [A loss: 0.652742, acc: 0.640625] 3860: [D loss: 0.705450, acc: 0.513672] [A loss: 0.883555, acc: 0.144531] 3861: [D loss: 0.697168, acc: 0.521484] [A loss: 0.720694, acc: 0.480469] 3862: [D loss: 0.713040, acc: 0.501953] [A loss: 0.900631, acc: 0.101562] 3863: [D loss: 0.689679, acc: 0.509766] [A loss: 0.732559, acc: 0.425781] 3864: [D loss: 0.704046, acc: 0.531250] [A loss: 0.878555, acc: 0.144531] 3865: [D loss: 0.685838, acc: 0.568359] [A loss: 0.721796, acc: 0.476562] 3866: [D loss: 0.694720, acc: 0.537109] [A loss: 0.903110, acc: 0.156250] 3867: [D loss: 0.701140, acc: 0.515625] [A loss: 0.712583, acc: 0.515625] 3868: [D loss: 0.706458, acc: 0.544922] [A loss: 0.908192, acc: 0.125000] 3869: [D loss: 0.707154, acc: 0.507812] [A loss: 0.719877, acc: 0.460938] 3870: [D loss: 0.716774, acc: 0.484375] [A loss: 0.891682, acc: 0.132812] 3871: [D loss: 0.683754, acc: 0.548828] [A loss: 0.726392, acc: 0.445312] 3872: [D loss: 0.700058, acc: 0.541016] [A loss: 0.895432, acc: 0.113281] 3873: [D loss: 0.685245, acc: 0.548828] [A loss: 0.715898, acc: 0.472656] 3874: [D loss: 0.703848, acc: 0.527344] [A loss: 0.870386, acc: 0.128906] 3875: [D loss: 0.691647, acc: 0.541016] [A loss: 0.731591, acc: 0.425781] 3876: [D loss: 0.702484, acc: 0.519531] [A loss: 0.867771, acc: 0.191406] 3877: [D loss: 0.690136, acc: 0.531250] [A loss: 0.748097, acc: 0.410156] 3878: [D loss: 0.704980, acc: 0.496094] [A loss: 0.843957, acc: 0.230469] 3879: [D loss: 0.696566, acc: 0.505859] [A loss: 0.744087, acc: 0.382812] 3880: [D loss: 0.709050, acc: 0.527344] [A loss: 0.843214, acc: 0.203125] 3881: [D loss: 0.705897, acc: 0.474609] [A loss: 0.769665, acc: 0.363281] 3882: [D loss: 0.697903, acc: 0.517578] [A loss: 0.810841, acc: 0.238281] 3883: [D loss: 0.680212, acc: 0.583984] [A loss: 0.770005, acc: 0.335938] 3884: [D loss: 0.692007, acc: 0.519531] [A loss: 0.876261, acc: 0.156250] 3885: [D loss: 0.696642, acc: 0.531250] [A loss: 0.771052, acc: 0.343750] 3886: [D loss: 0.697550, acc: 0.517578] [A loss: 0.937047, acc: 0.093750] 3887: [D loss: 0.687830, acc: 0.542969] [A loss: 0.698253, acc: 0.492188] 3888: [D loss: 0.700805, acc: 0.521484] [A loss: 0.870396, acc: 0.171875] 3889: [D loss: 0.692205, acc: 0.525391] [A loss: 0.741392, acc: 0.398438] 3890: [D loss: 0.716926, acc: 0.513672] [A loss: 0.863955, acc: 0.144531] 3891: [D loss: 0.700469, acc: 0.527344] [A loss: 0.793249, acc: 0.316406] 3892: [D loss: 0.701479, acc: 0.529297] [A loss: 0.939079, acc: 0.089844] 3893: [D loss: 0.685798, acc: 0.562500] [A loss: 0.720134, acc: 0.500000] 3894: [D loss: 0.712309, acc: 0.515625] [A loss: 0.974041, acc: 0.078125] 3895: [D loss: 0.700305, acc: 0.517578] [A loss: 0.704259, acc: 0.460938] 3896: [D loss: 0.713705, acc: 0.500000] [A loss: 0.859597, acc: 0.195312] 3897: [D loss: 0.695814, acc: 0.525391] [A loss: 0.732279, acc: 0.410156] 3898: [D loss: 0.715944, acc: 0.503906] [A loss: 0.885873, acc: 0.167969] 3899: [D loss: 0.696498, acc: 0.533203] [A loss: 0.776127, acc: 0.343750] 3900: [D loss: 0.693717, acc: 0.535156] [A loss: 0.805347, acc: 0.257812] 3901: [D loss: 0.701520, acc: 0.535156] [A loss: 0.844147, acc: 0.187500] 3902: [D loss: 0.708344, acc: 0.492188] [A loss: 0.770453, acc: 0.339844] 3903: [D loss: 0.702602, acc: 0.488281] [A loss: 0.857559, acc: 0.179688] 3904: [D loss: 0.694445, acc: 0.529297] [A loss: 0.782872, acc: 0.289062] 3905: [D loss: 0.699861, acc: 0.535156] [A loss: 0.793093, acc: 0.253906] 3906: [D loss: 0.704992, acc: 0.498047] [A loss: 0.856756, acc: 0.128906] 3907: [D loss: 0.693825, acc: 0.550781] [A loss: 0.806335, acc: 0.261719] 3908: [D loss: 0.691554, acc: 0.541016] [A loss: 0.869732, acc: 0.164062] 3909: [D loss: 0.705442, acc: 0.519531] [A loss: 0.805544, acc: 0.269531] 3910: [D loss: 0.688630, acc: 0.531250] [A loss: 0.877213, acc: 0.187500] 3911: [D loss: 0.701970, acc: 0.496094] [A loss: 0.758734, acc: 0.363281] 3912: [D loss: 0.702822, acc: 0.525391] [A loss: 0.866946, acc: 0.175781] 3913: [D loss: 0.695505, acc: 0.509766] [A loss: 0.792378, acc: 0.304688] 3914: [D loss: 0.706544, acc: 0.529297] [A loss: 0.931461, acc: 0.105469] 3915: [D loss: 0.702816, acc: 0.486328] [A loss: 0.694475, acc: 0.527344] 3916: [D loss: 0.711426, acc: 0.525391] [A loss: 0.925797, acc: 0.125000] 3917: [D loss: 0.708625, acc: 0.511719] [A loss: 0.724819, acc: 0.441406] 3918: [D loss: 0.712332, acc: 0.507812] [A loss: 0.810479, acc: 0.226562] 3919: [D loss: 0.700417, acc: 0.511719] [A loss: 0.826628, acc: 0.250000] 3920: [D loss: 0.690544, acc: 0.537109] [A loss: 0.783328, acc: 0.296875] 3921: [D loss: 0.699285, acc: 0.537109] [A loss: 0.885491, acc: 0.152344] 3922: [D loss: 0.705123, acc: 0.513672] [A loss: 0.748069, acc: 0.378906] 3923: [D loss: 0.719990, acc: 0.476562] [A loss: 0.848409, acc: 0.218750] 3924: [D loss: 0.692526, acc: 0.539062] [A loss: 0.763712, acc: 0.343750] 3925: [D loss: 0.706073, acc: 0.500000] [A loss: 0.876418, acc: 0.140625] 3926: [D loss: 0.689525, acc: 0.531250] [A loss: 0.707078, acc: 0.507812] 3927: [D loss: 0.718900, acc: 0.509766] [A loss: 0.917034, acc: 0.101562] 3928: [D loss: 0.695040, acc: 0.531250] [A loss: 0.693801, acc: 0.507812] 3929: [D loss: 0.723323, acc: 0.498047] [A loss: 0.836475, acc: 0.195312] 3930: [D loss: 0.689982, acc: 0.535156] [A loss: 0.769356, acc: 0.324219] 3931: [D loss: 0.703638, acc: 0.537109] [A loss: 0.868346, acc: 0.144531] 3932: [D loss: 0.701073, acc: 0.507812] [A loss: 0.782569, acc: 0.312500] 3933: [D loss: 0.692551, acc: 0.562500] [A loss: 0.789058, acc: 0.308594] 3934: [D loss: 0.707541, acc: 0.519531] [A loss: 0.852865, acc: 0.191406] 3935: [D loss: 0.696285, acc: 0.525391] [A loss: 0.780740, acc: 0.308594] 3936: [D loss: 0.698350, acc: 0.535156] [A loss: 0.855067, acc: 0.230469] 3937: [D loss: 0.701218, acc: 0.498047] [A loss: 0.784832, acc: 0.328125] 3938: [D loss: 0.698630, acc: 0.531250] [A loss: 0.896475, acc: 0.164062] 3939: [D loss: 0.692293, acc: 0.539062] [A loss: 0.697174, acc: 0.503906] 3940: [D loss: 0.723908, acc: 0.501953] [A loss: 0.973871, acc: 0.078125] 3941: [D loss: 0.700865, acc: 0.539062] [A loss: 0.714344, acc: 0.468750] 3942: [D loss: 0.703402, acc: 0.523438] [A loss: 0.864269, acc: 0.144531] 3943: [D loss: 0.689595, acc: 0.535156] [A loss: 0.772340, acc: 0.332031] 3944: [D loss: 0.703057, acc: 0.531250] [A loss: 0.919633, acc: 0.105469] 3945: [D loss: 0.693885, acc: 0.521484] [A loss: 0.706790, acc: 0.519531] 3946: [D loss: 0.716916, acc: 0.507812] [A loss: 0.895189, acc: 0.109375] 3947: [D loss: 0.698784, acc: 0.492188] [A loss: 0.714795, acc: 0.464844] 3948: [D loss: 0.738177, acc: 0.468750] [A loss: 0.898455, acc: 0.117188] 3949: [D loss: 0.696201, acc: 0.503906] [A loss: 0.739310, acc: 0.371094] 3950: [D loss: 0.709920, acc: 0.533203] [A loss: 0.799066, acc: 0.269531] 3951: [D loss: 0.693554, acc: 0.537109] [A loss: 0.825267, acc: 0.222656] 3952: [D loss: 0.705817, acc: 0.503906] [A loss: 0.790122, acc: 0.269531] 3953: [D loss: 0.696857, acc: 0.544922] [A loss: 0.728973, acc: 0.398438] 3954: [D loss: 0.696899, acc: 0.539062] [A loss: 0.848638, acc: 0.195312] 3955: [D loss: 0.681603, acc: 0.585938] [A loss: 0.799937, acc: 0.273438] 3956: [D loss: 0.698330, acc: 0.535156] [A loss: 0.778834, acc: 0.292969] 3957: [D loss: 0.695374, acc: 0.539062] [A loss: 0.887248, acc: 0.117188] 3958: [D loss: 0.680117, acc: 0.572266] [A loss: 0.745559, acc: 0.382812] 3959: [D loss: 0.711385, acc: 0.503906] [A loss: 0.939970, acc: 0.074219] 3960: [D loss: 0.707977, acc: 0.496094] [A loss: 0.682399, acc: 0.496094] 3961: [D loss: 0.712844, acc: 0.527344] [A loss: 0.918412, acc: 0.105469] 3962: [D loss: 0.706401, acc: 0.490234] [A loss: 0.750146, acc: 0.359375] 3963: [D loss: 0.699826, acc: 0.525391] [A loss: 0.772217, acc: 0.292969] 3964: [D loss: 0.693631, acc: 0.539062] [A loss: 0.864119, acc: 0.156250] 3965: [D loss: 0.701763, acc: 0.490234] [A loss: 0.768659, acc: 0.316406] 3966: [D loss: 0.694210, acc: 0.542969] [A loss: 0.797333, acc: 0.277344] 3967: [D loss: 0.693123, acc: 0.509766] [A loss: 0.819806, acc: 0.238281] 3968: [D loss: 0.705454, acc: 0.500000] [A loss: 0.822119, acc: 0.222656] 3969: [D loss: 0.703911, acc: 0.496094] [A loss: 0.792090, acc: 0.316406] 3970: [D loss: 0.704426, acc: 0.494141] [A loss: 0.867092, acc: 0.167969] 3971: [D loss: 0.692342, acc: 0.531250] [A loss: 0.712200, acc: 0.500000] 3972: [D loss: 0.696648, acc: 0.544922] [A loss: 0.877529, acc: 0.160156] 3973: [D loss: 0.697599, acc: 0.500000] [A loss: 0.769890, acc: 0.347656] 3974: [D loss: 0.715367, acc: 0.476562] [A loss: 0.825570, acc: 0.210938] 3975: [D loss: 0.692191, acc: 0.523438] [A loss: 0.776867, acc: 0.320312] 3976: [D loss: 0.692878, acc: 0.554688] [A loss: 0.845742, acc: 0.195312] 3977: [D loss: 0.685416, acc: 0.542969] [A loss: 0.714286, acc: 0.417969] 3978: [D loss: 0.715897, acc: 0.517578] [A loss: 0.923692, acc: 0.128906] 3979: [D loss: 0.697607, acc: 0.525391] [A loss: 0.761059, acc: 0.371094] 3980: [D loss: 0.711192, acc: 0.533203] [A loss: 0.845363, acc: 0.187500] 3981: [D loss: 0.699517, acc: 0.515625] [A loss: 0.756703, acc: 0.378906] 3982: [D loss: 0.695925, acc: 0.525391] [A loss: 0.779055, acc: 0.308594] 3983: [D loss: 0.698108, acc: 0.535156] [A loss: 0.843115, acc: 0.210938] 3984: [D loss: 0.693671, acc: 0.541016] [A loss: 0.747166, acc: 0.402344] 3985: [D loss: 0.700646, acc: 0.513672] [A loss: 0.811869, acc: 0.253906] 3986: [D loss: 0.707573, acc: 0.513672] [A loss: 0.848730, acc: 0.191406] 3987: [D loss: 0.691263, acc: 0.529297] [A loss: 0.761839, acc: 0.343750] 3988: [D loss: 0.704418, acc: 0.505859] [A loss: 0.903933, acc: 0.074219] 3989: [D loss: 0.684000, acc: 0.548828] [A loss: 0.724969, acc: 0.429688] 3990: [D loss: 0.705526, acc: 0.527344] [A loss: 0.879112, acc: 0.179688] 3991: [D loss: 0.691169, acc: 0.537109] [A loss: 0.681918, acc: 0.562500] 3992: [D loss: 0.707860, acc: 0.517578] [A loss: 0.879881, acc: 0.156250] 3993: [D loss: 0.674620, acc: 0.593750] [A loss: 0.764318, acc: 0.328125] 3994: [D loss: 0.697089, acc: 0.544922] [A loss: 0.850538, acc: 0.183594] 3995: [D loss: 0.688269, acc: 0.539062] [A loss: 0.740706, acc: 0.410156] 3996: [D loss: 0.715143, acc: 0.498047] [A loss: 0.834255, acc: 0.242188] 3997: [D loss: 0.682613, acc: 0.544922] [A loss: 0.788807, acc: 0.308594] 3998: [D loss: 0.698638, acc: 0.535156] [A loss: 0.806536, acc: 0.277344] 3999: [D loss: 0.718563, acc: 0.464844] [A loss: 0.791066, acc: 0.328125] 4000: [D loss: 0.698466, acc: 0.503906] [A loss: 0.906752, acc: 0.128906] 4001: [D loss: 0.693047, acc: 0.527344] [A loss: 0.734495, acc: 0.437500] 4002: [D loss: 0.705890, acc: 0.515625] [A loss: 0.873954, acc: 0.175781] 4003: [D loss: 0.706756, acc: 0.500000] [A loss: 0.786635, acc: 0.312500] 4004: [D loss: 0.691760, acc: 0.505859] [A loss: 0.924188, acc: 0.101562] 4005: [D loss: 0.690235, acc: 0.539062] [A loss: 0.730081, acc: 0.421875] 4006: [D loss: 0.694924, acc: 0.533203] [A loss: 0.855096, acc: 0.191406] 4007: [D loss: 0.670440, acc: 0.574219] [A loss: 0.742644, acc: 0.421875] 4008: [D loss: 0.705589, acc: 0.500000] [A loss: 0.911389, acc: 0.128906] 4009: [D loss: 0.692462, acc: 0.537109] [A loss: 0.701638, acc: 0.496094] 4010: [D loss: 0.704561, acc: 0.513672] [A loss: 0.859283, acc: 0.167969] 4011: [D loss: 0.694046, acc: 0.550781] [A loss: 0.755590, acc: 0.328125] 4012: [D loss: 0.700772, acc: 0.519531] [A loss: 0.853557, acc: 0.175781] 4013: [D loss: 0.700514, acc: 0.488281] [A loss: 0.805945, acc: 0.281250] 4014: [D loss: 0.690777, acc: 0.550781] [A loss: 0.825836, acc: 0.230469] 4015: [D loss: 0.699860, acc: 0.525391] [A loss: 0.774044, acc: 0.300781] 4016: [D loss: 0.694877, acc: 0.560547] [A loss: 0.753546, acc: 0.351562] 4017: [D loss: 0.700997, acc: 0.542969] [A loss: 0.890896, acc: 0.121094] 4018: [D loss: 0.694219, acc: 0.521484] [A loss: 0.717641, acc: 0.464844] 4019: [D loss: 0.696702, acc: 0.544922] [A loss: 0.855495, acc: 0.187500] 4020: [D loss: 0.689522, acc: 0.544922] [A loss: 0.793624, acc: 0.281250] 4021: [D loss: 0.715733, acc: 0.496094] [A loss: 0.907706, acc: 0.109375] 4022: [D loss: 0.704708, acc: 0.505859] [A loss: 0.707623, acc: 0.484375] 4023: [D loss: 0.716597, acc: 0.505859] [A loss: 0.929663, acc: 0.117188] 4024: [D loss: 0.699957, acc: 0.503906] [A loss: 0.729574, acc: 0.441406] 4025: [D loss: 0.703021, acc: 0.525391] [A loss: 0.874675, acc: 0.156250] 4026: [D loss: 0.700363, acc: 0.509766] [A loss: 0.732411, acc: 0.402344] 4027: [D loss: 0.704189, acc: 0.523438] [A loss: 0.873009, acc: 0.160156] 4028: [D loss: 0.695354, acc: 0.542969] [A loss: 0.764124, acc: 0.320312] 4029: [D loss: 0.713535, acc: 0.507812] [A loss: 0.891133, acc: 0.128906] 4030: [D loss: 0.706335, acc: 0.482422] [A loss: 0.727618, acc: 0.433594] 4031: [D loss: 0.711093, acc: 0.515625] [A loss: 0.891022, acc: 0.117188] 4032: [D loss: 0.690404, acc: 0.541016] [A loss: 0.725620, acc: 0.457031] 4033: [D loss: 0.704433, acc: 0.537109] [A loss: 0.859066, acc: 0.191406] 4034: [D loss: 0.700269, acc: 0.494141] [A loss: 0.754645, acc: 0.355469] 4035: [D loss: 0.720964, acc: 0.482422] [A loss: 0.880641, acc: 0.160156] 4036: [D loss: 0.696281, acc: 0.527344] [A loss: 0.773121, acc: 0.335938] 4037: [D loss: 0.700570, acc: 0.525391] [A loss: 0.821337, acc: 0.222656] 4038: [D loss: 0.693540, acc: 0.546875] [A loss: 0.735183, acc: 0.410156] 4039: [D loss: 0.717039, acc: 0.494141] [A loss: 0.898414, acc: 0.136719] 4040: [D loss: 0.690671, acc: 0.554688] [A loss: 0.755221, acc: 0.339844] 4041: [D loss: 0.706357, acc: 0.523438] [A loss: 0.843108, acc: 0.187500] 4042: [D loss: 0.705280, acc: 0.513672] [A loss: 0.767909, acc: 0.332031] 4043: [D loss: 0.687047, acc: 0.554688] [A loss: 0.793906, acc: 0.265625] 4044: [D loss: 0.695539, acc: 0.529297] [A loss: 0.808783, acc: 0.250000] 4045: [D loss: 0.696336, acc: 0.517578] [A loss: 0.841357, acc: 0.175781] 4046: [D loss: 0.708326, acc: 0.492188] [A loss: 0.752102, acc: 0.363281] 4047: [D loss: 0.700406, acc: 0.513672] [A loss: 0.899308, acc: 0.128906] 4048: [D loss: 0.692299, acc: 0.539062] [A loss: 0.727041, acc: 0.402344] 4049: [D loss: 0.698227, acc: 0.550781] [A loss: 0.869159, acc: 0.140625] 4050: [D loss: 0.685827, acc: 0.552734] [A loss: 0.768837, acc: 0.324219] 4051: [D loss: 0.704881, acc: 0.511719] [A loss: 0.812562, acc: 0.246094] 4052: [D loss: 0.709027, acc: 0.486328] [A loss: 0.860089, acc: 0.191406] 4053: [D loss: 0.694888, acc: 0.523438] [A loss: 0.720332, acc: 0.457031] 4054: [D loss: 0.694984, acc: 0.556641] [A loss: 0.903201, acc: 0.113281] 4055: [D loss: 0.699854, acc: 0.529297] [A loss: 0.722505, acc: 0.457031] 4056: [D loss: 0.703420, acc: 0.505859] [A loss: 0.881703, acc: 0.132812] 4057: [D loss: 0.689395, acc: 0.548828] [A loss: 0.714879, acc: 0.449219] 4058: [D loss: 0.702977, acc: 0.513672] [A loss: 0.837154, acc: 0.195312] 4059: [D loss: 0.698447, acc: 0.484375] [A loss: 0.795368, acc: 0.265625] 4060: [D loss: 0.688791, acc: 0.552734] [A loss: 0.754126, acc: 0.371094] 4061: [D loss: 0.694731, acc: 0.564453] [A loss: 0.839259, acc: 0.210938] 4062: [D loss: 0.693136, acc: 0.531250] [A loss: 0.787840, acc: 0.285156] 4063: [D loss: 0.699545, acc: 0.503906] [A loss: 0.804665, acc: 0.257812] 4064: [D loss: 0.691645, acc: 0.529297] [A loss: 0.792857, acc: 0.269531] 4065: [D loss: 0.698340, acc: 0.537109] [A loss: 0.832683, acc: 0.203125] 4066: [D loss: 0.703063, acc: 0.511719] [A loss: 0.803375, acc: 0.257812] 4067: [D loss: 0.686662, acc: 0.558594] [A loss: 0.816439, acc: 0.230469] 4068: [D loss: 0.681533, acc: 0.560547] [A loss: 0.788590, acc: 0.265625] 4069: [D loss: 0.691525, acc: 0.548828] [A loss: 0.780377, acc: 0.316406] 4070: [D loss: 0.699880, acc: 0.533203] [A loss: 0.833793, acc: 0.183594] 4071: [D loss: 0.694528, acc: 0.531250] [A loss: 0.782127, acc: 0.308594] 4072: [D loss: 0.702557, acc: 0.511719] [A loss: 0.878707, acc: 0.117188] 4073: [D loss: 0.703710, acc: 0.509766] [A loss: 0.737732, acc: 0.394531] 4074: [D loss: 0.702281, acc: 0.521484] [A loss: 0.917083, acc: 0.128906] 4075: [D loss: 0.689493, acc: 0.539062] [A loss: 0.705920, acc: 0.480469] 4076: [D loss: 0.706719, acc: 0.511719] [A loss: 0.845989, acc: 0.195312] 4077: [D loss: 0.701955, acc: 0.519531] [A loss: 0.815444, acc: 0.269531] 4078: [D loss: 0.700634, acc: 0.509766] [A loss: 0.840369, acc: 0.207031] 4079: [D loss: 0.689879, acc: 0.546875] [A loss: 0.843547, acc: 0.179688] 4080: [D loss: 0.671768, acc: 0.564453] [A loss: 0.771171, acc: 0.343750] 4081: [D loss: 0.706938, acc: 0.517578] [A loss: 0.952567, acc: 0.089844] 4082: [D loss: 0.687801, acc: 0.531250] [A loss: 0.707909, acc: 0.511719] 4083: [D loss: 0.726171, acc: 0.488281] [A loss: 0.837873, acc: 0.187500] 4084: [D loss: 0.694792, acc: 0.535156] [A loss: 0.772177, acc: 0.316406] 4085: [D loss: 0.708219, acc: 0.523438] [A loss: 0.867412, acc: 0.191406] 4086: [D loss: 0.698097, acc: 0.533203] [A loss: 0.719676, acc: 0.429688] 4087: [D loss: 0.699845, acc: 0.533203] [A loss: 0.863094, acc: 0.183594] 4088: [D loss: 0.701239, acc: 0.503906] [A loss: 0.756841, acc: 0.335938] 4089: [D loss: 0.713692, acc: 0.486328] [A loss: 0.947359, acc: 0.078125] 4090: [D loss: 0.700835, acc: 0.517578] [A loss: 0.709767, acc: 0.449219] 4091: [D loss: 0.710576, acc: 0.517578] [A loss: 0.828739, acc: 0.179688] 4092: [D loss: 0.697005, acc: 0.503906] [A loss: 0.786945, acc: 0.312500] 4093: [D loss: 0.693679, acc: 0.554688] [A loss: 0.844463, acc: 0.191406] 4094: [D loss: 0.688333, acc: 0.542969] [A loss: 0.825753, acc: 0.234375] 4095: [D loss: 0.685102, acc: 0.566406] [A loss: 0.828630, acc: 0.222656] 4096: [D loss: 0.699800, acc: 0.515625] [A loss: 0.895864, acc: 0.171875] 4097: [D loss: 0.688238, acc: 0.541016] [A loss: 0.778514, acc: 0.308594] 4098: [D loss: 0.708724, acc: 0.515625] [A loss: 0.934681, acc: 0.105469] 4099: [D loss: 0.714953, acc: 0.484375] [A loss: 0.731236, acc: 0.417969] 4100: [D loss: 0.707536, acc: 0.529297] [A loss: 0.819956, acc: 0.218750] 4101: [D loss: 0.691026, acc: 0.544922] [A loss: 0.793061, acc: 0.281250] 4102: [D loss: 0.694235, acc: 0.539062] [A loss: 0.867976, acc: 0.144531] 4103: [D loss: 0.693824, acc: 0.533203] [A loss: 0.774649, acc: 0.339844] 4104: [D loss: 0.702135, acc: 0.513672] [A loss: 0.865341, acc: 0.160156] 4105: [D loss: 0.688867, acc: 0.513672] [A loss: 0.737040, acc: 0.414062] 4106: [D loss: 0.697371, acc: 0.552734] [A loss: 0.945485, acc: 0.097656] 4107: [D loss: 0.703982, acc: 0.517578] [A loss: 0.698322, acc: 0.492188] 4108: [D loss: 0.705449, acc: 0.517578] [A loss: 0.854892, acc: 0.187500] 4109: [D loss: 0.705267, acc: 0.503906] [A loss: 0.751158, acc: 0.390625] 4110: [D loss: 0.699759, acc: 0.519531] [A loss: 0.868390, acc: 0.179688] 4111: [D loss: 0.710521, acc: 0.476562] [A loss: 0.748577, acc: 0.375000] 4112: [D loss: 0.708563, acc: 0.529297] [A loss: 0.829122, acc: 0.191406] 4113: [D loss: 0.695859, acc: 0.519531] [A loss: 0.770037, acc: 0.320312] 4114: [D loss: 0.699306, acc: 0.494141] [A loss: 0.831674, acc: 0.167969] 4115: [D loss: 0.706893, acc: 0.513672] [A loss: 0.764494, acc: 0.316406] 4116: [D loss: 0.703530, acc: 0.525391] [A loss: 0.875399, acc: 0.160156] 4117: [D loss: 0.694832, acc: 0.515625] [A loss: 0.773529, acc: 0.332031] 4118: [D loss: 0.704034, acc: 0.509766] [A loss: 0.837730, acc: 0.246094] 4119: [D loss: 0.692769, acc: 0.554688] [A loss: 0.810879, acc: 0.261719] 4120: [D loss: 0.701150, acc: 0.519531] [A loss: 0.812024, acc: 0.218750] 4121: [D loss: 0.678740, acc: 0.568359] [A loss: 0.805509, acc: 0.246094] 4122: [D loss: 0.698154, acc: 0.517578] [A loss: 0.816954, acc: 0.207031] 4123: [D loss: 0.707792, acc: 0.521484] [A loss: 0.828654, acc: 0.234375] 4124: [D loss: 0.697995, acc: 0.505859] [A loss: 0.739015, acc: 0.433594] 4125: [D loss: 0.705056, acc: 0.515625] [A loss: 0.905072, acc: 0.121094] 4126: [D loss: 0.704332, acc: 0.509766] [A loss: 0.720594, acc: 0.437500] 4127: [D loss: 0.687634, acc: 0.531250] [A loss: 0.833228, acc: 0.234375] 4128: [D loss: 0.702131, acc: 0.464844] [A loss: 0.735316, acc: 0.394531] 4129: [D loss: 0.698552, acc: 0.525391] [A loss: 0.813239, acc: 0.246094] 4130: [D loss: 0.703431, acc: 0.503906] [A loss: 0.854985, acc: 0.179688] 4131: [D loss: 0.701436, acc: 0.505859] [A loss: 0.796089, acc: 0.285156] 4132: [D loss: 0.692938, acc: 0.542969] [A loss: 0.869639, acc: 0.164062] 4133: [D loss: 0.686134, acc: 0.566406] [A loss: 0.799046, acc: 0.324219] 4134: [D loss: 0.709967, acc: 0.525391] [A loss: 0.860040, acc: 0.187500] 4135: [D loss: 0.698797, acc: 0.513672] [A loss: 0.756658, acc: 0.343750] 4136: [D loss: 0.706317, acc: 0.511719] [A loss: 0.916673, acc: 0.105469] 4137: [D loss: 0.702299, acc: 0.523438] [A loss: 0.689112, acc: 0.542969] 4138: [D loss: 0.724817, acc: 0.515625] [A loss: 0.993213, acc: 0.074219] 4139: [D loss: 0.697617, acc: 0.535156] [A loss: 0.734200, acc: 0.437500] 4140: [D loss: 0.696081, acc: 0.535156] [A loss: 0.805882, acc: 0.253906] 4141: [D loss: 0.681313, acc: 0.546875] [A loss: 0.756342, acc: 0.382812] 4142: [D loss: 0.715705, acc: 0.482422] [A loss: 0.809965, acc: 0.222656] 4143: [D loss: 0.704413, acc: 0.513672] [A loss: 0.823335, acc: 0.261719] 4144: [D loss: 0.686399, acc: 0.570312] [A loss: 0.774886, acc: 0.296875] 4145: [D loss: 0.717731, acc: 0.484375] [A loss: 0.882583, acc: 0.121094] 4146: [D loss: 0.693943, acc: 0.527344] [A loss: 0.773970, acc: 0.273438] 4147: [D loss: 0.694834, acc: 0.535156] [A loss: 0.893533, acc: 0.128906] 4148: [D loss: 0.693782, acc: 0.525391] [A loss: 0.716934, acc: 0.429688] 4149: [D loss: 0.710096, acc: 0.515625] [A loss: 0.849946, acc: 0.187500] 4150: [D loss: 0.680554, acc: 0.570312] [A loss: 0.765139, acc: 0.312500] 4151: [D loss: 0.717048, acc: 0.525391] [A loss: 0.880899, acc: 0.128906] 4152: [D loss: 0.691197, acc: 0.523438] [A loss: 0.727364, acc: 0.410156] 4153: [D loss: 0.712836, acc: 0.517578] [A loss: 0.928551, acc: 0.105469] 4154: [D loss: 0.715181, acc: 0.474609] [A loss: 0.730522, acc: 0.414062] 4155: [D loss: 0.711611, acc: 0.488281] [A loss: 0.841691, acc: 0.203125] 4156: [D loss: 0.696256, acc: 0.544922] [A loss: 0.757789, acc: 0.363281] 4157: [D loss: 0.706971, acc: 0.507812] [A loss: 0.843783, acc: 0.179688] 4158: [D loss: 0.699671, acc: 0.511719] [A loss: 0.775908, acc: 0.292969] 4159: [D loss: 0.698355, acc: 0.513672] [A loss: 0.866198, acc: 0.175781] 4160: [D loss: 0.688842, acc: 0.531250] [A loss: 0.699706, acc: 0.503906] 4161: [D loss: 0.709216, acc: 0.541016] [A loss: 0.904408, acc: 0.101562] 4162: [D loss: 0.699584, acc: 0.517578] [A loss: 0.772700, acc: 0.355469] 4163: [D loss: 0.688373, acc: 0.556641] [A loss: 0.782075, acc: 0.320312] 4164: [D loss: 0.699926, acc: 0.511719] [A loss: 0.813915, acc: 0.257812] 4165: [D loss: 0.700035, acc: 0.509766] [A loss: 0.830537, acc: 0.199219] 4166: [D loss: 0.708758, acc: 0.486328] [A loss: 0.803967, acc: 0.238281] 4167: [D loss: 0.693012, acc: 0.541016] [A loss: 0.814124, acc: 0.250000] 4168: [D loss: 0.685512, acc: 0.558594] [A loss: 0.778832, acc: 0.300781] 4169: [D loss: 0.702475, acc: 0.529297] [A loss: 0.834507, acc: 0.187500] 4170: [D loss: 0.707456, acc: 0.498047] [A loss: 0.738939, acc: 0.375000] 4171: [D loss: 0.697737, acc: 0.552734] [A loss: 0.914019, acc: 0.109375] 4172: [D loss: 0.704256, acc: 0.505859] [A loss: 0.767295, acc: 0.304688] 4173: [D loss: 0.699228, acc: 0.537109] [A loss: 0.836963, acc: 0.222656] 4174: [D loss: 0.696513, acc: 0.523438] [A loss: 0.786877, acc: 0.304688] 4175: [D loss: 0.693688, acc: 0.535156] [A loss: 0.797795, acc: 0.292969] 4176: [D loss: 0.684067, acc: 0.568359] [A loss: 0.776580, acc: 0.289062] 4177: [D loss: 0.699867, acc: 0.558594] [A loss: 0.921484, acc: 0.125000] 4178: [D loss: 0.690933, acc: 0.521484] [A loss: 0.690897, acc: 0.542969] 4179: [D loss: 0.725163, acc: 0.486328] [A loss: 0.943576, acc: 0.085938] 4180: [D loss: 0.698736, acc: 0.519531] [A loss: 0.714278, acc: 0.433594] 4181: [D loss: 0.723581, acc: 0.511719] [A loss: 0.840220, acc: 0.234375] 4182: [D loss: 0.704033, acc: 0.488281] [A loss: 0.764284, acc: 0.324219] 4183: [D loss: 0.711103, acc: 0.501953] [A loss: 1.002793, acc: 0.046875] 4184: [D loss: 0.697346, acc: 0.509766] [A loss: 0.681908, acc: 0.531250] 4185: [D loss: 0.715375, acc: 0.527344] [A loss: 0.866699, acc: 0.160156] 4186: [D loss: 0.691850, acc: 0.533203] [A loss: 0.738801, acc: 0.410156] 4187: [D loss: 0.709864, acc: 0.515625] [A loss: 0.872746, acc: 0.140625] 4188: [D loss: 0.688287, acc: 0.544922] [A loss: 0.793203, acc: 0.281250] 4189: [D loss: 0.712008, acc: 0.505859] [A loss: 0.909556, acc: 0.113281] 4190: [D loss: 0.696476, acc: 0.505859] [A loss: 0.744457, acc: 0.390625] 4191: [D loss: 0.720112, acc: 0.498047] [A loss: 0.917005, acc: 0.066406] 4192: [D loss: 0.700924, acc: 0.496094] [A loss: 0.709636, acc: 0.476562] 4193: [D loss: 0.713735, acc: 0.513672] [A loss: 0.793687, acc: 0.281250] 4194: [D loss: 0.684903, acc: 0.539062] [A loss: 0.776265, acc: 0.320312] 4195: [D loss: 0.698121, acc: 0.544922] [A loss: 0.840013, acc: 0.199219] 4196: [D loss: 0.692687, acc: 0.531250] [A loss: 0.731132, acc: 0.421875] 4197: [D loss: 0.722516, acc: 0.486328] [A loss: 0.956609, acc: 0.082031] 4198: [D loss: 0.692425, acc: 0.517578] [A loss: 0.722819, acc: 0.445312] 4199: [D loss: 0.688388, acc: 0.548828] [A loss: 0.826891, acc: 0.234375] 4200: [D loss: 0.695157, acc: 0.546875] [A loss: 0.750425, acc: 0.359375] 4201: [D loss: 0.699716, acc: 0.533203] [A loss: 0.825822, acc: 0.242188] 4202: [D loss: 0.683182, acc: 0.552734] [A loss: 0.746691, acc: 0.367188] 4203: [D loss: 0.708784, acc: 0.501953] [A loss: 0.829943, acc: 0.238281] 4204: [D loss: 0.678665, acc: 0.558594] [A loss: 0.772003, acc: 0.359375] 4205: [D loss: 0.696682, acc: 0.533203] [A loss: 0.828646, acc: 0.261719] 4206: [D loss: 0.696349, acc: 0.539062] [A loss: 0.799335, acc: 0.242188] 4207: [D loss: 0.692417, acc: 0.521484] [A loss: 0.773241, acc: 0.281250] 4208: [D loss: 0.698573, acc: 0.513672] [A loss: 0.821818, acc: 0.242188] 4209: [D loss: 0.693798, acc: 0.523438] [A loss: 0.811811, acc: 0.222656] 4210: [D loss: 0.687750, acc: 0.548828] [A loss: 0.776081, acc: 0.265625] 4211: [D loss: 0.704352, acc: 0.517578] [A loss: 0.816090, acc: 0.226562] 4212: [D loss: 0.691126, acc: 0.523438] [A loss: 0.820062, acc: 0.261719] 4213: [D loss: 0.695143, acc: 0.539062] [A loss: 0.778389, acc: 0.316406] 4214: [D loss: 0.700573, acc: 0.535156] [A loss: 0.788576, acc: 0.285156] 4215: [D loss: 0.701555, acc: 0.519531] [A loss: 0.814313, acc: 0.265625] 4216: [D loss: 0.698319, acc: 0.548828] [A loss: 0.860817, acc: 0.171875] 4217: [D loss: 0.693077, acc: 0.525391] [A loss: 0.694856, acc: 0.511719] 4218: [D loss: 0.720508, acc: 0.513672] [A loss: 0.937466, acc: 0.093750] 4219: [D loss: 0.702057, acc: 0.529297] [A loss: 0.717885, acc: 0.480469] 4220: [D loss: 0.713796, acc: 0.501953] [A loss: 0.841922, acc: 0.214844] 4221: [D loss: 0.704318, acc: 0.496094] [A loss: 0.775353, acc: 0.304688] 4222: [D loss: 0.696881, acc: 0.562500] [A loss: 0.868516, acc: 0.144531] 4223: [D loss: 0.692412, acc: 0.521484] [A loss: 0.737617, acc: 0.433594] 4224: [D loss: 0.710440, acc: 0.500000] [A loss: 0.958817, acc: 0.050781] 4225: [D loss: 0.688173, acc: 0.558594] [A loss: 0.694422, acc: 0.503906] 4226: [D loss: 0.715230, acc: 0.509766] [A loss: 0.848738, acc: 0.167969] 4227: [D loss: 0.694391, acc: 0.517578] [A loss: 0.781003, acc: 0.320312] 4228: [D loss: 0.698548, acc: 0.527344] [A loss: 0.845005, acc: 0.195312] 4229: [D loss: 0.705415, acc: 0.490234] [A loss: 0.759892, acc: 0.347656] 4230: [D loss: 0.711528, acc: 0.517578] [A loss: 0.878292, acc: 0.152344] 4231: [D loss: 0.693086, acc: 0.511719] [A loss: 0.738919, acc: 0.363281] 4232: [D loss: 0.703045, acc: 0.529297] [A loss: 0.891597, acc: 0.117188] 4233: [D loss: 0.700252, acc: 0.505859] [A loss: 0.779652, acc: 0.289062] 4234: [D loss: 0.705944, acc: 0.501953] [A loss: 0.800195, acc: 0.250000] 4235: [D loss: 0.696729, acc: 0.513672] [A loss: 0.783303, acc: 0.324219] 4236: [D loss: 0.700246, acc: 0.511719] [A loss: 0.840405, acc: 0.214844] 4237: [D loss: 0.712005, acc: 0.525391] [A loss: 0.860698, acc: 0.187500] 4238: [D loss: 0.703340, acc: 0.478516] [A loss: 0.734173, acc: 0.410156] 4239: [D loss: 0.717025, acc: 0.498047] [A loss: 0.915411, acc: 0.148438] 4240: [D loss: 0.694769, acc: 0.515625] [A loss: 0.761669, acc: 0.324219] 4241: [D loss: 0.704276, acc: 0.503906] [A loss: 0.815365, acc: 0.230469] 4242: [D loss: 0.685341, acc: 0.556641] [A loss: 0.797932, acc: 0.269531] 4243: [D loss: 0.702676, acc: 0.535156] [A loss: 0.858269, acc: 0.167969] 4244: [D loss: 0.695475, acc: 0.513672] [A loss: 0.740523, acc: 0.398438] 4245: [D loss: 0.697405, acc: 0.531250] [A loss: 0.903736, acc: 0.132812] 4246: [D loss: 0.692709, acc: 0.550781] [A loss: 0.714758, acc: 0.472656] 4247: [D loss: 0.707934, acc: 0.521484] [A loss: 0.885739, acc: 0.136719] 4248: [D loss: 0.679400, acc: 0.566406] [A loss: 0.707310, acc: 0.492188] 4249: [D loss: 0.719384, acc: 0.505859] [A loss: 0.891915, acc: 0.140625] 4250: [D loss: 0.696701, acc: 0.546875] [A loss: 0.784206, acc: 0.316406] 4251: [D loss: 0.721166, acc: 0.500000] [A loss: 0.938050, acc: 0.101562] 4252: [D loss: 0.683994, acc: 0.554688] [A loss: 0.741526, acc: 0.394531] 4253: [D loss: 0.688065, acc: 0.554688] [A loss: 0.799017, acc: 0.277344] 4254: [D loss: 0.703857, acc: 0.525391] [A loss: 0.853176, acc: 0.199219] 4255: [D loss: 0.690369, acc: 0.552734] [A loss: 0.777038, acc: 0.332031] 4256: [D loss: 0.686670, acc: 0.556641] [A loss: 0.861043, acc: 0.148438] 4257: [D loss: 0.688719, acc: 0.541016] [A loss: 0.758325, acc: 0.359375] 4258: [D loss: 0.706408, acc: 0.486328] [A loss: 0.857129, acc: 0.136719] 4259: [D loss: 0.688646, acc: 0.560547] [A loss: 0.770726, acc: 0.339844] 4260: [D loss: 0.702165, acc: 0.507812] [A loss: 0.794872, acc: 0.304688] 4261: [D loss: 0.702383, acc: 0.519531] [A loss: 0.779934, acc: 0.359375] 4262: [D loss: 0.699376, acc: 0.533203] [A loss: 0.855330, acc: 0.187500] 4263: [D loss: 0.699004, acc: 0.542969] [A loss: 0.760836, acc: 0.359375] 4264: [D loss: 0.706162, acc: 0.501953] [A loss: 0.861892, acc: 0.160156] 4265: [D loss: 0.695618, acc: 0.552734] [A loss: 0.802148, acc: 0.265625] 4266: [D loss: 0.694547, acc: 0.535156] [A loss: 0.855029, acc: 0.148438] 4267: [D loss: 0.689628, acc: 0.539062] [A loss: 0.747524, acc: 0.378906] 4268: [D loss: 0.727030, acc: 0.492188] [A loss: 0.868242, acc: 0.156250] 4269: [D loss: 0.705395, acc: 0.482422] [A loss: 0.798773, acc: 0.281250] 4270: [D loss: 0.723773, acc: 0.472656] [A loss: 0.928168, acc: 0.093750] 4271: [D loss: 0.683135, acc: 0.568359] [A loss: 0.705156, acc: 0.500000] 4272: [D loss: 0.718862, acc: 0.523438] [A loss: 0.851626, acc: 0.210938] 4273: [D loss: 0.703296, acc: 0.544922] [A loss: 0.874361, acc: 0.187500] 4274: [D loss: 0.691967, acc: 0.541016] [A loss: 0.741438, acc: 0.386719] 4275: [D loss: 0.703670, acc: 0.531250] [A loss: 0.879895, acc: 0.144531] 4276: [D loss: 0.688143, acc: 0.544922] [A loss: 0.757406, acc: 0.375000] 4277: [D loss: 0.709307, acc: 0.503906] [A loss: 0.824224, acc: 0.222656] 4278: [D loss: 0.697733, acc: 0.513672] [A loss: 0.833601, acc: 0.214844] 4279: [D loss: 0.697894, acc: 0.519531] [A loss: 0.799298, acc: 0.273438] 4280: [D loss: 0.709550, acc: 0.488281] [A loss: 0.773349, acc: 0.328125] 4281: [D loss: 0.701759, acc: 0.513672] [A loss: 0.874483, acc: 0.128906] 4282: [D loss: 0.690695, acc: 0.527344] [A loss: 0.708463, acc: 0.468750] 4283: [D loss: 0.711757, acc: 0.496094] [A loss: 0.922172, acc: 0.097656] 4284: [D loss: 0.706276, acc: 0.496094] [A loss: 0.683636, acc: 0.531250] 4285: [D loss: 0.719485, acc: 0.500000] [A loss: 0.966325, acc: 0.062500] 4286: [D loss: 0.706852, acc: 0.503906] [A loss: 0.742000, acc: 0.398438] 4287: [D loss: 0.700845, acc: 0.511719] [A loss: 0.809973, acc: 0.277344] 4288: [D loss: 0.702996, acc: 0.521484] [A loss: 0.758001, acc: 0.343750] 4289: [D loss: 0.705598, acc: 0.515625] [A loss: 0.806019, acc: 0.273438] 4290: [D loss: 0.697826, acc: 0.523438] [A loss: 0.834711, acc: 0.175781] 4291: [D loss: 0.701138, acc: 0.533203] [A loss: 0.790017, acc: 0.285156] 4292: [D loss: 0.691737, acc: 0.517578] [A loss: 0.878732, acc: 0.140625] 4293: [D loss: 0.704120, acc: 0.505859] [A loss: 0.727161, acc: 0.421875] 4294: [D loss: 0.716474, acc: 0.513672] [A loss: 0.891531, acc: 0.121094] 4295: [D loss: 0.686960, acc: 0.535156] [A loss: 0.725447, acc: 0.429688] 4296: [D loss: 0.700469, acc: 0.525391] [A loss: 0.924127, acc: 0.109375] 4297: [D loss: 0.701555, acc: 0.507812] [A loss: 0.699416, acc: 0.484375] 4298: [D loss: 0.711401, acc: 0.507812] [A loss: 0.884963, acc: 0.140625] 4299: [D loss: 0.684602, acc: 0.576172] [A loss: 0.750191, acc: 0.371094] 4300: [D loss: 0.699177, acc: 0.527344] [A loss: 0.827883, acc: 0.195312] 4301: [D loss: 0.693280, acc: 0.548828] [A loss: 0.789799, acc: 0.308594] 4302: [D loss: 0.695117, acc: 0.539062] [A loss: 0.875285, acc: 0.156250] 4303: [D loss: 0.681516, acc: 0.580078] [A loss: 0.704393, acc: 0.500000] 4304: [D loss: 0.703873, acc: 0.562500] [A loss: 0.907722, acc: 0.078125] 4305: [D loss: 0.700871, acc: 0.505859] [A loss: 0.727012, acc: 0.449219] 4306: [D loss: 0.701659, acc: 0.509766] [A loss: 0.907094, acc: 0.132812] 4307: [D loss: 0.695263, acc: 0.525391] [A loss: 0.709492, acc: 0.453125] 4308: [D loss: 0.713979, acc: 0.490234] [A loss: 0.886481, acc: 0.148438] 4309: [D loss: 0.691893, acc: 0.537109] [A loss: 0.728694, acc: 0.406250] 4310: [D loss: 0.700187, acc: 0.513672] [A loss: 0.842258, acc: 0.203125] 4311: [D loss: 0.706633, acc: 0.523438] [A loss: 0.775359, acc: 0.308594] 4312: [D loss: 0.707325, acc: 0.515625] [A loss: 0.759685, acc: 0.359375] 4313: [D loss: 0.697572, acc: 0.537109] [A loss: 0.788792, acc: 0.277344] 4314: [D loss: 0.706901, acc: 0.486328] [A loss: 0.832542, acc: 0.179688] 4315: [D loss: 0.696191, acc: 0.523438] [A loss: 0.768593, acc: 0.375000] 4316: [D loss: 0.697104, acc: 0.525391] [A loss: 0.862010, acc: 0.199219] 4317: [D loss: 0.684482, acc: 0.570312] [A loss: 0.762371, acc: 0.359375] 4318: [D loss: 0.698690, acc: 0.513672] [A loss: 0.885293, acc: 0.152344] 4319: [D loss: 0.689469, acc: 0.552734] [A loss: 0.740289, acc: 0.398438] 4320: [D loss: 0.696754, acc: 0.498047] [A loss: 0.875512, acc: 0.148438] 4321: [D loss: 0.690327, acc: 0.541016] [A loss: 0.746719, acc: 0.394531] 4322: [D loss: 0.713144, acc: 0.531250] [A loss: 0.847524, acc: 0.199219] 4323: [D loss: 0.702506, acc: 0.515625] [A loss: 0.805480, acc: 0.253906] 4324: [D loss: 0.685300, acc: 0.556641] [A loss: 0.764252, acc: 0.347656] 4325: [D loss: 0.698628, acc: 0.515625] [A loss: 0.867685, acc: 0.160156] 4326: [D loss: 0.691469, acc: 0.550781] [A loss: 0.721168, acc: 0.433594] 4327: [D loss: 0.692780, acc: 0.548828] [A loss: 0.913417, acc: 0.128906] 4328: [D loss: 0.697479, acc: 0.533203] [A loss: 0.718881, acc: 0.441406] 4329: [D loss: 0.702831, acc: 0.535156] [A loss: 0.925662, acc: 0.101562] 4330: [D loss: 0.709275, acc: 0.494141] [A loss: 0.727452, acc: 0.441406] 4331: [D loss: 0.717301, acc: 0.515625] [A loss: 0.861960, acc: 0.214844] 4332: [D loss: 0.715510, acc: 0.466797] [A loss: 0.781746, acc: 0.300781] 4333: [D loss: 0.707518, acc: 0.480469] [A loss: 0.836774, acc: 0.179688] 4334: [D loss: 0.690662, acc: 0.560547] [A loss: 0.767847, acc: 0.324219] 4335: [D loss: 0.702016, acc: 0.527344] [A loss: 0.879995, acc: 0.140625] 4336: [D loss: 0.681442, acc: 0.566406] [A loss: 0.725104, acc: 0.441406] 4337: [D loss: 0.694449, acc: 0.546875] [A loss: 0.940798, acc: 0.101562] 4338: [D loss: 0.702196, acc: 0.494141] [A loss: 0.682473, acc: 0.570312] 4339: [D loss: 0.718588, acc: 0.513672] [A loss: 0.827620, acc: 0.210938] 4340: [D loss: 0.690203, acc: 0.544922] [A loss: 0.812299, acc: 0.261719] 4341: [D loss: 0.700184, acc: 0.498047] [A loss: 0.814111, acc: 0.214844] 4342: [D loss: 0.703610, acc: 0.501953] [A loss: 0.792685, acc: 0.273438] 4343: [D loss: 0.701619, acc: 0.539062] [A loss: 0.844294, acc: 0.199219] 4344: [D loss: 0.678971, acc: 0.568359] [A loss: 0.771018, acc: 0.296875] 4345: [D loss: 0.712314, acc: 0.503906] [A loss: 0.807851, acc: 0.250000] 4346: [D loss: 0.692648, acc: 0.519531] [A loss: 0.826689, acc: 0.234375] 4347: [D loss: 0.681384, acc: 0.550781] [A loss: 0.768205, acc: 0.335938] 4348: [D loss: 0.696402, acc: 0.511719] [A loss: 0.869470, acc: 0.179688] 4349: [D loss: 0.683655, acc: 0.546875] [A loss: 0.763694, acc: 0.375000] 4350: [D loss: 0.693190, acc: 0.544922] [A loss: 0.830834, acc: 0.207031] 4351: [D loss: 0.695573, acc: 0.539062] [A loss: 0.775407, acc: 0.328125] 4352: [D loss: 0.704800, acc: 0.498047] [A loss: 0.882009, acc: 0.128906] 4353: [D loss: 0.694969, acc: 0.546875] [A loss: 0.737714, acc: 0.386719] 4354: [D loss: 0.707939, acc: 0.519531] [A loss: 0.865876, acc: 0.171875] 4355: [D loss: 0.697664, acc: 0.537109] [A loss: 0.783458, acc: 0.328125] 4356: [D loss: 0.704355, acc: 0.500000] [A loss: 0.784489, acc: 0.292969] 4357: [D loss: 0.695408, acc: 0.517578] [A loss: 0.830879, acc: 0.203125] 4358: [D loss: 0.692255, acc: 0.498047] [A loss: 0.784507, acc: 0.320312] 4359: [D loss: 0.701110, acc: 0.525391] [A loss: 0.873402, acc: 0.144531] 4360: [D loss: 0.696646, acc: 0.541016] [A loss: 0.759648, acc: 0.355469] 4361: [D loss: 0.696464, acc: 0.523438] [A loss: 0.861004, acc: 0.164062] 4362: [D loss: 0.680286, acc: 0.554688] [A loss: 0.776138, acc: 0.292969] 4363: [D loss: 0.695073, acc: 0.560547] [A loss: 0.862010, acc: 0.152344] 4364: [D loss: 0.693194, acc: 0.537109] [A loss: 0.752360, acc: 0.390625] 4365: [D loss: 0.704142, acc: 0.509766] [A loss: 0.993660, acc: 0.050781] 4366: [D loss: 0.694201, acc: 0.525391] [A loss: 0.668375, acc: 0.582031] 4367: [D loss: 0.720838, acc: 0.511719] [A loss: 0.930367, acc: 0.113281] 4368: [D loss: 0.692731, acc: 0.519531] [A loss: 0.754512, acc: 0.351562] 4369: [D loss: 0.725497, acc: 0.474609] [A loss: 0.813582, acc: 0.289062] 4370: [D loss: 0.705142, acc: 0.501953] [A loss: 0.867648, acc: 0.156250] 4371: [D loss: 0.700012, acc: 0.496094] [A loss: 0.769505, acc: 0.367188] 4372: [D loss: 0.700397, acc: 0.517578] [A loss: 0.916513, acc: 0.085938] 4373: [D loss: 0.703517, acc: 0.533203] [A loss: 0.651241, acc: 0.621094] 4374: [D loss: 0.718504, acc: 0.513672] [A loss: 0.926224, acc: 0.109375] 4375: [D loss: 0.687917, acc: 0.519531] [A loss: 0.719714, acc: 0.484375] 4376: [D loss: 0.718454, acc: 0.501953] [A loss: 0.829360, acc: 0.222656] 4377: [D loss: 0.699576, acc: 0.505859] [A loss: 0.780964, acc: 0.296875] 4378: [D loss: 0.693991, acc: 0.519531] [A loss: 0.805282, acc: 0.292969] 4379: [D loss: 0.703580, acc: 0.529297] [A loss: 0.770285, acc: 0.335938] 4380: [D loss: 0.697207, acc: 0.541016] [A loss: 0.849857, acc: 0.210938] 4381: [D loss: 0.685250, acc: 0.541016] [A loss: 0.800760, acc: 0.253906] 4382: [D loss: 0.701251, acc: 0.542969] [A loss: 0.921443, acc: 0.132812] 4383: [D loss: 0.702976, acc: 0.525391] [A loss: 0.694835, acc: 0.484375] 4384: [D loss: 0.717473, acc: 0.511719] [A loss: 0.956822, acc: 0.082031] 4385: [D loss: 0.698359, acc: 0.527344] [A loss: 0.699930, acc: 0.515625] 4386: [D loss: 0.705717, acc: 0.533203] [A loss: 0.813186, acc: 0.257812] 4387: [D loss: 0.697764, acc: 0.501953] [A loss: 0.774330, acc: 0.347656] 4388: [D loss: 0.707791, acc: 0.517578] [A loss: 0.882378, acc: 0.132812] 4389: [D loss: 0.683675, acc: 0.560547] [A loss: 0.780934, acc: 0.304688] 4390: [D loss: 0.706310, acc: 0.515625] [A loss: 0.833584, acc: 0.187500] 4391: [D loss: 0.689886, acc: 0.525391] [A loss: 0.772577, acc: 0.332031] 4392: [D loss: 0.698083, acc: 0.544922] [A loss: 0.828871, acc: 0.214844] 4393: [D loss: 0.709763, acc: 0.472656] [A loss: 0.811412, acc: 0.238281] 4394: [D loss: 0.691692, acc: 0.529297] [A loss: 0.787594, acc: 0.320312] 4395: [D loss: 0.703514, acc: 0.513672] [A loss: 0.866765, acc: 0.144531] 4396: [D loss: 0.687678, acc: 0.554688] [A loss: 0.787590, acc: 0.269531] 4397: [D loss: 0.700539, acc: 0.517578] [A loss: 0.926533, acc: 0.125000] 4398: [D loss: 0.704133, acc: 0.509766] [A loss: 0.703906, acc: 0.507812] 4399: [D loss: 0.710037, acc: 0.527344] [A loss: 0.849579, acc: 0.191406] 4400: [D loss: 0.695009, acc: 0.539062] [A loss: 0.768975, acc: 0.355469] 4401: [D loss: 0.708579, acc: 0.517578] [A loss: 0.853945, acc: 0.199219] 4402: [D loss: 0.701001, acc: 0.521484] [A loss: 0.772261, acc: 0.367188] 4403: [D loss: 0.712348, acc: 0.488281] [A loss: 0.859467, acc: 0.191406] 4404: [D loss: 0.697145, acc: 0.507812] [A loss: 0.766405, acc: 0.328125] 4405: [D loss: 0.700372, acc: 0.544922] [A loss: 0.773464, acc: 0.335938] 4406: [D loss: 0.694655, acc: 0.541016] [A loss: 0.787712, acc: 0.269531] 4407: [D loss: 0.699092, acc: 0.533203] [A loss: 0.848557, acc: 0.183594] 4408: [D loss: 0.694018, acc: 0.544922] [A loss: 0.718593, acc: 0.476562] 4409: [D loss: 0.717854, acc: 0.519531] [A loss: 0.994542, acc: 0.074219] 4410: [D loss: 0.695694, acc: 0.544922] [A loss: 0.659753, acc: 0.597656] 4411: [D loss: 0.728241, acc: 0.496094] [A loss: 0.833483, acc: 0.183594] 4412: [D loss: 0.699580, acc: 0.529297] [A loss: 0.785305, acc: 0.320312] 4413: [D loss: 0.691938, acc: 0.539062] [A loss: 0.786699, acc: 0.261719] 4414: [D loss: 0.720766, acc: 0.490234] [A loss: 0.840494, acc: 0.230469] 4415: [D loss: 0.703061, acc: 0.525391] [A loss: 0.849181, acc: 0.207031] 4416: [D loss: 0.688663, acc: 0.552734] [A loss: 0.765314, acc: 0.351562] 4417: [D loss: 0.689475, acc: 0.539062] [A loss: 0.848628, acc: 0.207031] 4418: [D loss: 0.688450, acc: 0.552734] [A loss: 0.733648, acc: 0.402344] 4419: [D loss: 0.719462, acc: 0.500000] [A loss: 0.949441, acc: 0.097656] 4420: [D loss: 0.691826, acc: 0.517578] [A loss: 0.690582, acc: 0.488281] 4421: [D loss: 0.705114, acc: 0.517578] [A loss: 0.894100, acc: 0.140625] 4422: [D loss: 0.685953, acc: 0.554688] [A loss: 0.775251, acc: 0.324219] 4423: [D loss: 0.701476, acc: 0.535156] [A loss: 0.843309, acc: 0.171875] 4424: [D loss: 0.698421, acc: 0.494141] [A loss: 0.765051, acc: 0.359375] 4425: [D loss: 0.700879, acc: 0.509766] [A loss: 0.793449, acc: 0.238281] 4426: [D loss: 0.700136, acc: 0.519531] [A loss: 0.807464, acc: 0.222656] 4427: [D loss: 0.693339, acc: 0.544922] [A loss: 0.819825, acc: 0.265625] 4428: [D loss: 0.700350, acc: 0.537109] [A loss: 0.830623, acc: 0.222656] 4429: [D loss: 0.692483, acc: 0.525391] [A loss: 0.744614, acc: 0.382812] 4430: [D loss: 0.702067, acc: 0.523438] [A loss: 0.951562, acc: 0.078125] 4431: [D loss: 0.693578, acc: 0.562500] [A loss: 0.686014, acc: 0.554688] 4432: [D loss: 0.718275, acc: 0.501953] [A loss: 0.840958, acc: 0.171875] 4433: [D loss: 0.693685, acc: 0.513672] [A loss: 0.785161, acc: 0.316406] 4434: [D loss: 0.708474, acc: 0.523438] [A loss: 0.875841, acc: 0.121094] 4435: [D loss: 0.687116, acc: 0.544922] [A loss: 0.746845, acc: 0.421875] 4436: [D loss: 0.714955, acc: 0.496094] [A loss: 0.920253, acc: 0.121094] 4437: [D loss: 0.700961, acc: 0.513672] [A loss: 0.697571, acc: 0.507812] 4438: [D loss: 0.697263, acc: 0.507812] [A loss: 0.831804, acc: 0.242188] 4439: [D loss: 0.709461, acc: 0.519531] [A loss: 0.760661, acc: 0.355469] 4440: [D loss: 0.700596, acc: 0.515625] [A loss: 0.807417, acc: 0.265625] 4441: [D loss: 0.711573, acc: 0.468750] [A loss: 0.750043, acc: 0.378906] 4442: [D loss: 0.715595, acc: 0.511719] [A loss: 0.919294, acc: 0.128906] 4443: [D loss: 0.684364, acc: 0.568359] [A loss: 0.742372, acc: 0.390625] 4444: [D loss: 0.717838, acc: 0.505859] [A loss: 0.819324, acc: 0.253906] 4445: [D loss: 0.702531, acc: 0.515625] [A loss: 0.789274, acc: 0.300781] 4446: [D loss: 0.701745, acc: 0.515625] [A loss: 0.861162, acc: 0.152344] 4447: [D loss: 0.678236, acc: 0.564453] [A loss: 0.736990, acc: 0.437500] 4448: [D loss: 0.702425, acc: 0.527344] [A loss: 0.875449, acc: 0.148438] 4449: [D loss: 0.699581, acc: 0.537109] [A loss: 0.727508, acc: 0.394531] 4450: [D loss: 0.704493, acc: 0.525391] [A loss: 0.888645, acc: 0.152344] 4451: [D loss: 0.682298, acc: 0.554688] [A loss: 0.707438, acc: 0.464844] 4452: [D loss: 0.715213, acc: 0.517578] [A loss: 0.877602, acc: 0.167969] 4453: [D loss: 0.689305, acc: 0.548828] [A loss: 0.750210, acc: 0.378906] 4454: [D loss: 0.701131, acc: 0.513672] [A loss: 0.787489, acc: 0.292969] 4455: [D loss: 0.694138, acc: 0.527344] [A loss: 0.780937, acc: 0.304688] 4456: [D loss: 0.693039, acc: 0.539062] [A loss: 0.806395, acc: 0.292969] 4457: [D loss: 0.703789, acc: 0.515625] [A loss: 0.739484, acc: 0.417969] 4458: [D loss: 0.708896, acc: 0.523438] [A loss: 0.971040, acc: 0.066406] 4459: [D loss: 0.704890, acc: 0.494141] [A loss: 0.685202, acc: 0.539062] 4460: [D loss: 0.709746, acc: 0.521484] [A loss: 0.853254, acc: 0.136719] 4461: [D loss: 0.694181, acc: 0.515625] [A loss: 0.732242, acc: 0.445312] 4462: [D loss: 0.702389, acc: 0.490234] [A loss: 0.819174, acc: 0.242188] 4463: [D loss: 0.695476, acc: 0.542969] [A loss: 0.762935, acc: 0.355469] 4464: [D loss: 0.695469, acc: 0.527344] [A loss: 0.853060, acc: 0.179688] 4465: [D loss: 0.703508, acc: 0.501953] [A loss: 0.689158, acc: 0.523438] 4466: [D loss: 0.700287, acc: 0.541016] [A loss: 0.882226, acc: 0.125000] 4467: [D loss: 0.693438, acc: 0.560547] [A loss: 0.751848, acc: 0.367188] 4468: [D loss: 0.707485, acc: 0.500000] [A loss: 0.861273, acc: 0.179688] 4469: [D loss: 0.693011, acc: 0.560547] [A loss: 0.751036, acc: 0.339844] 4470: [D loss: 0.694363, acc: 0.539062] [A loss: 0.844063, acc: 0.175781] 4471: [D loss: 0.688350, acc: 0.562500] [A loss: 0.758429, acc: 0.402344] 4472: [D loss: 0.706112, acc: 0.496094] [A loss: 0.861441, acc: 0.148438] 4473: [D loss: 0.693554, acc: 0.523438] [A loss: 0.743008, acc: 0.378906] 4474: [D loss: 0.694020, acc: 0.515625] [A loss: 0.915683, acc: 0.125000] 4475: [D loss: 0.700714, acc: 0.511719] [A loss: 0.708399, acc: 0.488281] 4476: [D loss: 0.696866, acc: 0.525391] [A loss: 0.864230, acc: 0.175781] 4477: [D loss: 0.700176, acc: 0.539062] [A loss: 0.726920, acc: 0.406250] 4478: [D loss: 0.706005, acc: 0.509766] [A loss: 0.836093, acc: 0.234375] 4479: [D loss: 0.709694, acc: 0.503906] [A loss: 0.792007, acc: 0.300781] 4480: [D loss: 0.693516, acc: 0.556641] [A loss: 0.816885, acc: 0.230469] 4481: [D loss: 0.709130, acc: 0.500000] [A loss: 0.803506, acc: 0.281250] 4482: [D loss: 0.704461, acc: 0.527344] [A loss: 0.885513, acc: 0.148438] 4483: [D loss: 0.698098, acc: 0.539062] [A loss: 0.716655, acc: 0.437500] 4484: [D loss: 0.705380, acc: 0.517578] [A loss: 0.873638, acc: 0.140625] 4485: [D loss: 0.682801, acc: 0.556641] [A loss: 0.748216, acc: 0.410156] 4486: [D loss: 0.698787, acc: 0.513672] [A loss: 0.867454, acc: 0.191406] 4487: [D loss: 0.695784, acc: 0.550781] [A loss: 0.734463, acc: 0.441406] 4488: [D loss: 0.701900, acc: 0.539062] [A loss: 0.896616, acc: 0.101562] 4489: [D loss: 0.693931, acc: 0.515625] [A loss: 0.715310, acc: 0.484375] 4490: [D loss: 0.704098, acc: 0.531250] [A loss: 0.873249, acc: 0.152344] 4491: [D loss: 0.702763, acc: 0.521484] [A loss: 0.762772, acc: 0.335938] 4492: [D loss: 0.685710, acc: 0.562500] [A loss: 0.907014, acc: 0.121094] 4493: [D loss: 0.705975, acc: 0.501953] [A loss: 0.677271, acc: 0.582031] 4494: [D loss: 0.735791, acc: 0.507812] [A loss: 0.959060, acc: 0.113281] 4495: [D loss: 0.705270, acc: 0.505859] [A loss: 0.771526, acc: 0.347656] 4496: [D loss: 0.706451, acc: 0.511719] [A loss: 0.847897, acc: 0.191406] 4497: [D loss: 0.693543, acc: 0.521484] [A loss: 0.774106, acc: 0.343750] 4498: [D loss: 0.686290, acc: 0.568359] [A loss: 0.819913, acc: 0.261719] 4499: [D loss: 0.705825, acc: 0.521484] [A loss: 0.906134, acc: 0.128906] 4500: [D loss: 0.687726, acc: 0.531250] [A loss: 0.737074, acc: 0.417969] 4501: [D loss: 0.708130, acc: 0.513672] [A loss: 0.866016, acc: 0.183594] 4502: [D loss: 0.680065, acc: 0.574219] [A loss: 0.717364, acc: 0.460938] 4503: [D loss: 0.719043, acc: 0.494141] [A loss: 0.839151, acc: 0.191406] 4504: [D loss: 0.704571, acc: 0.500000] [A loss: 0.743239, acc: 0.375000] 4505: [D loss: 0.712722, acc: 0.507812] [A loss: 0.865157, acc: 0.144531] 4506: [D loss: 0.693767, acc: 0.531250] [A loss: 0.735677, acc: 0.414062] 4507: [D loss: 0.707810, acc: 0.533203] [A loss: 0.948428, acc: 0.085938] 4508: [D loss: 0.692616, acc: 0.509766] [A loss: 0.747710, acc: 0.382812] 4509: [D loss: 0.703843, acc: 0.492188] [A loss: 0.844415, acc: 0.199219] 4510: [D loss: 0.692382, acc: 0.531250] [A loss: 0.765979, acc: 0.359375] 4511: [D loss: 0.711669, acc: 0.521484] [A loss: 0.880054, acc: 0.164062] 4512: [D loss: 0.691167, acc: 0.535156] [A loss: 0.725805, acc: 0.449219] 4513: [D loss: 0.688712, acc: 0.554688] [A loss: 0.889056, acc: 0.156250] 4514: [D loss: 0.703674, acc: 0.517578] [A loss: 0.759503, acc: 0.351562] 4515: [D loss: 0.692505, acc: 0.539062] [A loss: 0.824686, acc: 0.195312] 4516: [D loss: 0.701804, acc: 0.529297] [A loss: 0.848276, acc: 0.238281] 4517: [D loss: 0.688525, acc: 0.542969] [A loss: 0.846906, acc: 0.207031] 4518: [D loss: 0.689099, acc: 0.546875] [A loss: 0.783031, acc: 0.355469] 4519: [D loss: 0.704519, acc: 0.521484] [A loss: 0.873872, acc: 0.175781] 4520: [D loss: 0.695283, acc: 0.533203] [A loss: 0.774223, acc: 0.343750] 4521: [D loss: 0.715518, acc: 0.496094] [A loss: 0.870521, acc: 0.164062] 4522: [D loss: 0.687997, acc: 0.541016] [A loss: 0.786732, acc: 0.339844] 4523: [D loss: 0.688061, acc: 0.539062] [A loss: 0.810883, acc: 0.273438] 4524: [D loss: 0.707339, acc: 0.503906] [A loss: 0.825515, acc: 0.246094] 4525: [D loss: 0.700128, acc: 0.552734] [A loss: 0.822500, acc: 0.242188] 4526: [D loss: 0.691450, acc: 0.517578] [A loss: 0.830629, acc: 0.222656] 4527: [D loss: 0.705382, acc: 0.494141] [A loss: 0.822295, acc: 0.265625] 4528: [D loss: 0.695166, acc: 0.515625] [A loss: 0.791965, acc: 0.328125] 4529: [D loss: 0.703132, acc: 0.519531] [A loss: 0.899763, acc: 0.140625] 4530: [D loss: 0.690266, acc: 0.539062] [A loss: 0.710192, acc: 0.476562] 4531: [D loss: 0.704763, acc: 0.515625] [A loss: 0.926211, acc: 0.105469] 4532: [D loss: 0.705729, acc: 0.525391] [A loss: 0.682235, acc: 0.589844] 4533: [D loss: 0.700923, acc: 0.541016] [A loss: 0.937541, acc: 0.109375] 4534: [D loss: 0.699691, acc: 0.527344] [A loss: 0.659124, acc: 0.613281] 4535: [D loss: 0.729242, acc: 0.500000] [A loss: 0.902248, acc: 0.148438] 4536: [D loss: 0.684705, acc: 0.568359] [A loss: 0.720887, acc: 0.437500] 4537: [D loss: 0.723472, acc: 0.498047] [A loss: 0.859618, acc: 0.210938] 4538: [D loss: 0.684367, acc: 0.560547] [A loss: 0.796858, acc: 0.289062] 4539: [D loss: 0.703533, acc: 0.535156] [A loss: 0.874715, acc: 0.187500] 4540: [D loss: 0.683722, acc: 0.550781] [A loss: 0.736986, acc: 0.433594] 4541: [D loss: 0.701841, acc: 0.509766] [A loss: 0.861230, acc: 0.167969] 4542: [D loss: 0.685763, acc: 0.541016] [A loss: 0.766536, acc: 0.375000] 4543: [D loss: 0.694206, acc: 0.519531] [A loss: 0.855153, acc: 0.171875] 4544: [D loss: 0.686060, acc: 0.548828] [A loss: 0.765473, acc: 0.359375] 4545: [D loss: 0.687954, acc: 0.554688] [A loss: 0.827075, acc: 0.257812] 4546: [D loss: 0.698204, acc: 0.517578] [A loss: 0.810807, acc: 0.281250] 4547: [D loss: 0.699850, acc: 0.535156] [A loss: 0.930567, acc: 0.121094] 4548: [D loss: 0.698774, acc: 0.517578] [A loss: 0.688100, acc: 0.523438] 4549: [D loss: 0.710265, acc: 0.527344] [A loss: 0.980962, acc: 0.074219] 4550: [D loss: 0.692825, acc: 0.525391] [A loss: 0.735281, acc: 0.414062] 4551: [D loss: 0.702232, acc: 0.529297] [A loss: 0.809000, acc: 0.261719] 4552: [D loss: 0.686219, acc: 0.544922] [A loss: 0.805275, acc: 0.273438] 4553: [D loss: 0.691051, acc: 0.541016] [A loss: 0.848042, acc: 0.207031] 4554: [D loss: 0.689843, acc: 0.546875] [A loss: 0.872561, acc: 0.179688] 4555: [D loss: 0.693543, acc: 0.531250] [A loss: 0.733922, acc: 0.398438] 4556: [D loss: 0.714084, acc: 0.513672] [A loss: 0.949118, acc: 0.121094] 4557: [D loss: 0.716158, acc: 0.492188] [A loss: 0.708781, acc: 0.496094] 4558: [D loss: 0.708426, acc: 0.492188] [A loss: 0.839247, acc: 0.250000] 4559: [D loss: 0.685762, acc: 0.541016] [A loss: 0.751116, acc: 0.386719] 4560: [D loss: 0.706730, acc: 0.501953] [A loss: 0.809054, acc: 0.296875] 4561: [D loss: 0.702380, acc: 0.519531] [A loss: 0.844220, acc: 0.250000] 4562: [D loss: 0.700901, acc: 0.509766] [A loss: 0.838293, acc: 0.195312] 4563: [D loss: 0.708911, acc: 0.496094] [A loss: 0.792780, acc: 0.285156] 4564: [D loss: 0.710246, acc: 0.511719] [A loss: 0.866798, acc: 0.164062] 4565: [D loss: 0.695391, acc: 0.511719] [A loss: 0.765081, acc: 0.394531] 4566: [D loss: 0.707399, acc: 0.498047] [A loss: 0.883268, acc: 0.160156] 4567: [D loss: 0.691110, acc: 0.541016] [A loss: 0.785932, acc: 0.320312] 4568: [D loss: 0.702428, acc: 0.515625] [A loss: 0.813742, acc: 0.226562] 4569: [D loss: 0.698620, acc: 0.550781] [A loss: 0.926672, acc: 0.128906] 4570: [D loss: 0.698708, acc: 0.544922] [A loss: 0.721264, acc: 0.453125] 4571: [D loss: 0.710376, acc: 0.527344] [A loss: 0.935000, acc: 0.082031] 4572: [D loss: 0.692724, acc: 0.541016] [A loss: 0.681644, acc: 0.554688] 4573: [D loss: 0.719347, acc: 0.529297] [A loss: 0.968926, acc: 0.085938] 4574: [D loss: 0.712544, acc: 0.484375] [A loss: 0.717920, acc: 0.429688] 4575: [D loss: 0.721740, acc: 0.486328] [A loss: 0.839633, acc: 0.222656] 4576: [D loss: 0.699479, acc: 0.533203] [A loss: 0.832241, acc: 0.238281] 4577: [D loss: 0.689584, acc: 0.523438] [A loss: 0.825848, acc: 0.253906] 4578: [D loss: 0.709332, acc: 0.492188] [A loss: 0.793447, acc: 0.300781] 4579: [D loss: 0.701089, acc: 0.515625] [A loss: 0.857361, acc: 0.199219] 4580: [D loss: 0.693689, acc: 0.525391] [A loss: 0.763762, acc: 0.355469] 4581: [D loss: 0.712596, acc: 0.515625] [A loss: 0.916342, acc: 0.128906] 4582: [D loss: 0.697418, acc: 0.527344] [A loss: 0.738305, acc: 0.378906] 4583: [D loss: 0.704361, acc: 0.527344] [A loss: 0.860499, acc: 0.160156] 4584: [D loss: 0.691007, acc: 0.560547] [A loss: 0.747483, acc: 0.382812] 4585: [D loss: 0.717266, acc: 0.492188] [A loss: 0.853414, acc: 0.210938] 4586: [D loss: 0.696367, acc: 0.542969] [A loss: 0.820213, acc: 0.257812] 4587: [D loss: 0.698448, acc: 0.539062] [A loss: 0.848885, acc: 0.195312] 4588: [D loss: 0.697456, acc: 0.535156] [A loss: 0.749006, acc: 0.406250] 4589: [D loss: 0.698418, acc: 0.531250] [A loss: 0.912595, acc: 0.109375] 4590: [D loss: 0.688084, acc: 0.527344] [A loss: 0.738215, acc: 0.378906] 4591: [D loss: 0.707998, acc: 0.500000] [A loss: 0.852901, acc: 0.191406] 4592: [D loss: 0.693049, acc: 0.517578] [A loss: 0.789131, acc: 0.316406] 4593: [D loss: 0.696963, acc: 0.546875] [A loss: 0.823223, acc: 0.214844] 4594: [D loss: 0.690997, acc: 0.554688] [A loss: 0.866725, acc: 0.191406] 4595: [D loss: 0.706874, acc: 0.488281] [A loss: 0.783189, acc: 0.339844] 4596: [D loss: 0.694590, acc: 0.568359] [A loss: 0.947935, acc: 0.101562] 4597: [D loss: 0.693385, acc: 0.525391] [A loss: 0.683173, acc: 0.531250] 4598: [D loss: 0.714073, acc: 0.519531] [A loss: 0.996462, acc: 0.066406] 4599: [D loss: 0.693847, acc: 0.521484] [A loss: 0.708154, acc: 0.476562] 4600: [D loss: 0.708800, acc: 0.513672] [A loss: 0.892932, acc: 0.140625] 4601: [D loss: 0.693126, acc: 0.509766] [A loss: 0.715472, acc: 0.488281] 4602: [D loss: 0.714265, acc: 0.509766] [A loss: 0.848346, acc: 0.218750] 4603: [D loss: 0.698828, acc: 0.511719] [A loss: 0.739621, acc: 0.414062] 4604: [D loss: 0.701695, acc: 0.531250] [A loss: 0.801221, acc: 0.277344] 4605: [D loss: 0.707296, acc: 0.501953] [A loss: 0.768311, acc: 0.339844] 4606: [D loss: 0.706523, acc: 0.515625] [A loss: 0.883504, acc: 0.144531] 4607: [D loss: 0.694364, acc: 0.539062] [A loss: 0.815207, acc: 0.289062] 4608: [D loss: 0.710629, acc: 0.511719] [A loss: 0.891129, acc: 0.132812] 4609: [D loss: 0.690116, acc: 0.548828] [A loss: 0.783771, acc: 0.332031] 4610: [D loss: 0.715125, acc: 0.515625] [A loss: 0.841751, acc: 0.187500] 4611: [D loss: 0.700521, acc: 0.527344] [A loss: 0.881550, acc: 0.128906] 4612: [D loss: 0.700511, acc: 0.527344] [A loss: 0.751457, acc: 0.339844] 4613: [D loss: 0.701985, acc: 0.529297] [A loss: 0.877380, acc: 0.171875] 4614: [D loss: 0.707633, acc: 0.505859] [A loss: 0.761044, acc: 0.363281] 4615: [D loss: 0.707130, acc: 0.531250] [A loss: 0.823867, acc: 0.222656] 4616: [D loss: 0.696335, acc: 0.509766] [A loss: 0.833832, acc: 0.292969] 4617: [D loss: 0.691018, acc: 0.560547] [A loss: 0.801332, acc: 0.269531] 4618: [D loss: 0.697009, acc: 0.517578] [A loss: 0.875377, acc: 0.144531] 4619: [D loss: 0.681006, acc: 0.564453] [A loss: 0.731237, acc: 0.421875] 4620: [D loss: 0.691023, acc: 0.539062] [A loss: 0.920804, acc: 0.152344] 4621: [D loss: 0.687865, acc: 0.558594] [A loss: 0.718121, acc: 0.476562] 4622: [D loss: 0.706728, acc: 0.523438] [A loss: 0.861687, acc: 0.226562] 4623: [D loss: 0.702050, acc: 0.533203] [A loss: 0.773785, acc: 0.339844] 4624: [D loss: 0.689515, acc: 0.546875] [A loss: 0.869511, acc: 0.187500] 4625: [D loss: 0.695946, acc: 0.519531] [A loss: 0.785069, acc: 0.320312] 4626: [D loss: 0.692680, acc: 0.533203] [A loss: 0.829596, acc: 0.214844] 4627: [D loss: 0.705005, acc: 0.505859] [A loss: 0.816332, acc: 0.304688] 4628: [D loss: 0.702332, acc: 0.501953] [A loss: 0.778192, acc: 0.339844] 4629: [D loss: 0.701629, acc: 0.521484] [A loss: 0.874292, acc: 0.179688] 4630: [D loss: 0.694512, acc: 0.548828] [A loss: 0.872709, acc: 0.171875] 4631: [D loss: 0.683834, acc: 0.548828] [A loss: 0.839960, acc: 0.226562] 4632: [D loss: 0.682213, acc: 0.562500] [A loss: 0.899866, acc: 0.171875] 4633: [D loss: 0.703269, acc: 0.521484] [A loss: 0.704258, acc: 0.492188] 4634: [D loss: 0.726569, acc: 0.501953] [A loss: 1.081268, acc: 0.015625] 4635: [D loss: 0.705638, acc: 0.505859] [A loss: 0.664201, acc: 0.585938] 4636: [D loss: 0.737343, acc: 0.486328] [A loss: 0.856649, acc: 0.187500] 4637: [D loss: 0.711783, acc: 0.515625] [A loss: 0.797345, acc: 0.242188] 4638: [D loss: 0.695301, acc: 0.509766] [A loss: 0.812032, acc: 0.285156] 4639: [D loss: 0.699839, acc: 0.525391] [A loss: 0.816212, acc: 0.257812] 4640: [D loss: 0.707624, acc: 0.503906] [A loss: 0.835106, acc: 0.246094] 4641: [D loss: 0.686330, acc: 0.531250] [A loss: 0.779746, acc: 0.316406] 4642: [D loss: 0.712848, acc: 0.523438] [A loss: 0.846375, acc: 0.199219] 4643: [D loss: 0.691711, acc: 0.537109] [A loss: 0.820606, acc: 0.253906] 4644: [D loss: 0.688550, acc: 0.544922] [A loss: 0.795000, acc: 0.300781] 4645: [D loss: 0.698811, acc: 0.527344] [A loss: 0.805198, acc: 0.238281] 4646: [D loss: 0.692518, acc: 0.541016] [A loss: 0.813584, acc: 0.296875] 4647: [D loss: 0.701321, acc: 0.500000] [A loss: 0.988144, acc: 0.093750] 4648: [D loss: 0.713881, acc: 0.482422] [A loss: 0.688719, acc: 0.550781] 4649: [D loss: 0.703339, acc: 0.527344] [A loss: 0.835544, acc: 0.230469] 4650: [D loss: 0.707948, acc: 0.498047] [A loss: 0.759857, acc: 0.316406] 4651: [D loss: 0.694116, acc: 0.537109] [A loss: 0.844572, acc: 0.191406] 4652: [D loss: 0.687524, acc: 0.529297] [A loss: 0.762828, acc: 0.316406] 4653: [D loss: 0.693635, acc: 0.533203] [A loss: 0.945732, acc: 0.074219] 4654: [D loss: 0.696346, acc: 0.525391] [A loss: 0.681668, acc: 0.558594] 4655: [D loss: 0.700490, acc: 0.539062] [A loss: 0.833257, acc: 0.234375] 4656: [D loss: 0.692436, acc: 0.548828] [A loss: 0.759478, acc: 0.382812] 4657: [D loss: 0.724687, acc: 0.455078] [A loss: 0.806306, acc: 0.273438] 4658: [D loss: 0.684980, acc: 0.544922] [A loss: 0.767405, acc: 0.359375] 4659: [D loss: 0.705486, acc: 0.517578] [A loss: 0.921210, acc: 0.140625] 4660: [D loss: 0.697726, acc: 0.539062] [A loss: 0.707339, acc: 0.511719] 4661: [D loss: 0.716699, acc: 0.501953] [A loss: 0.874315, acc: 0.160156] 4662: [D loss: 0.700448, acc: 0.521484] [A loss: 0.743250, acc: 0.382812] 4663: [D loss: 0.710577, acc: 0.505859] [A loss: 0.831564, acc: 0.218750] 4664: [D loss: 0.680565, acc: 0.558594] [A loss: 0.774917, acc: 0.359375] 4665: [D loss: 0.724291, acc: 0.462891] [A loss: 0.816517, acc: 0.218750] 4666: [D loss: 0.689473, acc: 0.556641] [A loss: 0.873285, acc: 0.125000] 4667: [D loss: 0.691478, acc: 0.517578] [A loss: 0.719617, acc: 0.433594] 4668: [D loss: 0.717083, acc: 0.525391] [A loss: 0.957060, acc: 0.093750] 4669: [D loss: 0.712168, acc: 0.503906] [A loss: 0.757390, acc: 0.371094] 4670: [D loss: 0.713127, acc: 0.505859] [A loss: 0.807680, acc: 0.246094] 4671: [D loss: 0.692660, acc: 0.546875] [A loss: 0.794766, acc: 0.308594] 4672: [D loss: 0.697452, acc: 0.544922] [A loss: 0.857652, acc: 0.191406] 4673: [D loss: 0.694538, acc: 0.515625] [A loss: 0.753705, acc: 0.378906] 4674: [D loss: 0.714397, acc: 0.521484] [A loss: 0.817079, acc: 0.253906] 4675: [D loss: 0.696167, acc: 0.533203] [A loss: 0.819869, acc: 0.253906] 4676: [D loss: 0.711686, acc: 0.500000] [A loss: 0.841119, acc: 0.214844] 4677: [D loss: 0.691358, acc: 0.550781] [A loss: 0.816448, acc: 0.218750] 4678: [D loss: 0.702671, acc: 0.537109] [A loss: 0.855035, acc: 0.199219] 4679: [D loss: 0.693348, acc: 0.544922] [A loss: 0.763316, acc: 0.359375] 4680: [D loss: 0.704942, acc: 0.503906] [A loss: 0.841724, acc: 0.218750] 4681: [D loss: 0.717463, acc: 0.453125] [A loss: 0.758925, acc: 0.343750] 4682: [D loss: 0.694806, acc: 0.533203] [A loss: 0.867193, acc: 0.160156] 4683: [D loss: 0.689317, acc: 0.541016] [A loss: 0.786896, acc: 0.320312] 4684: [D loss: 0.692676, acc: 0.546875] [A loss: 0.829002, acc: 0.292969] 4685: [D loss: 0.689802, acc: 0.566406] [A loss: 0.772972, acc: 0.312500] 4686: [D loss: 0.707119, acc: 0.525391] [A loss: 0.915322, acc: 0.125000] 4687: [D loss: 0.695296, acc: 0.525391] [A loss: 0.730171, acc: 0.421875] 4688: [D loss: 0.706208, acc: 0.533203] [A loss: 0.912935, acc: 0.113281] 4689: [D loss: 0.701706, acc: 0.525391] [A loss: 0.762424, acc: 0.382812] 4690: [D loss: 0.703719, acc: 0.527344] [A loss: 0.806207, acc: 0.289062] 4691: [D loss: 0.710326, acc: 0.494141] [A loss: 0.875103, acc: 0.144531] 4692: [D loss: 0.701697, acc: 0.517578] [A loss: 0.781791, acc: 0.320312] 4693: [D loss: 0.692897, acc: 0.554688] [A loss: 0.912091, acc: 0.125000] 4694: [D loss: 0.689855, acc: 0.529297] [A loss: 0.719808, acc: 0.464844] 4695: [D loss: 0.721712, acc: 0.501953] [A loss: 0.980869, acc: 0.082031] 4696: [D loss: 0.705013, acc: 0.507812] [A loss: 0.712786, acc: 0.464844] 4697: [D loss: 0.704215, acc: 0.521484] [A loss: 0.844905, acc: 0.191406] 4698: [D loss: 0.703472, acc: 0.500000] [A loss: 0.757385, acc: 0.398438] 4699: [D loss: 0.697427, acc: 0.507812] [A loss: 0.856330, acc: 0.222656] 4700: [D loss: 0.697268, acc: 0.505859] [A loss: 0.722229, acc: 0.472656] 4701: [D loss: 0.712772, acc: 0.513672] [A loss: 0.967520, acc: 0.070312] 4702: [D loss: 0.707221, acc: 0.500000] [A loss: 0.697771, acc: 0.515625] 4703: [D loss: 0.721718, acc: 0.519531] [A loss: 0.877784, acc: 0.148438] 4704: [D loss: 0.694322, acc: 0.509766] [A loss: 0.743869, acc: 0.382812] 4705: [D loss: 0.688141, acc: 0.539062] [A loss: 0.790827, acc: 0.292969] 4706: [D loss: 0.706093, acc: 0.488281] [A loss: 0.831379, acc: 0.230469] 4707: [D loss: 0.691816, acc: 0.539062] [A loss: 0.762041, acc: 0.339844] 4708: [D loss: 0.712858, acc: 0.480469] [A loss: 0.880445, acc: 0.144531] 4709: [D loss: 0.699673, acc: 0.517578] [A loss: 0.739365, acc: 0.402344] 4710: [D loss: 0.714105, acc: 0.529297] [A loss: 0.920832, acc: 0.109375] 4711: [D loss: 0.686302, acc: 0.548828] [A loss: 0.729226, acc: 0.468750] 4712: [D loss: 0.714455, acc: 0.503906] [A loss: 0.899916, acc: 0.164062] 4713: [D loss: 0.703290, acc: 0.498047] [A loss: 0.713536, acc: 0.484375] 4714: [D loss: 0.707852, acc: 0.484375] [A loss: 0.773018, acc: 0.359375] 4715: [D loss: 0.705809, acc: 0.525391] [A loss: 0.856329, acc: 0.183594] 4716: [D loss: 0.697636, acc: 0.507812] [A loss: 0.748438, acc: 0.355469] 4717: [D loss: 0.701026, acc: 0.541016] [A loss: 0.834368, acc: 0.191406] 4718: [D loss: 0.692037, acc: 0.542969] [A loss: 0.749674, acc: 0.386719] 4719: [D loss: 0.705823, acc: 0.496094] [A loss: 0.907668, acc: 0.101562] 4720: [D loss: 0.693980, acc: 0.562500] [A loss: 0.711244, acc: 0.468750] 4721: [D loss: 0.705320, acc: 0.519531] [A loss: 0.853446, acc: 0.210938] 4722: [D loss: 0.704634, acc: 0.500000] [A loss: 0.740794, acc: 0.429688] 4723: [D loss: 0.702258, acc: 0.531250] [A loss: 0.861619, acc: 0.191406] 4724: [D loss: 0.704422, acc: 0.515625] [A loss: 0.723604, acc: 0.437500] 4725: [D loss: 0.700080, acc: 0.527344] [A loss: 0.844878, acc: 0.199219] 4726: [D loss: 0.695221, acc: 0.527344] [A loss: 0.743814, acc: 0.390625] 4727: [D loss: 0.707352, acc: 0.490234] [A loss: 0.818381, acc: 0.214844] 4728: [D loss: 0.698957, acc: 0.523438] [A loss: 0.774931, acc: 0.335938] 4729: [D loss: 0.696602, acc: 0.525391] [A loss: 0.918955, acc: 0.101562] 4730: [D loss: 0.690214, acc: 0.529297] [A loss: 0.703271, acc: 0.507812] 4731: [D loss: 0.713485, acc: 0.523438] [A loss: 0.926229, acc: 0.093750] 4732: [D loss: 0.702070, acc: 0.527344] [A loss: 0.756060, acc: 0.371094] 4733: [D loss: 0.691638, acc: 0.535156] [A loss: 0.793851, acc: 0.312500] 4734: [D loss: 0.695134, acc: 0.519531] [A loss: 0.752261, acc: 0.371094] 4735: [D loss: 0.703402, acc: 0.515625] [A loss: 0.904419, acc: 0.132812] 4736: [D loss: 0.689538, acc: 0.535156] [A loss: 0.762260, acc: 0.359375] 4737: [D loss: 0.704411, acc: 0.535156] [A loss: 0.796895, acc: 0.320312] 4738: [D loss: 0.698698, acc: 0.535156] [A loss: 0.767822, acc: 0.390625] 4739: [D loss: 0.710749, acc: 0.515625] [A loss: 0.946626, acc: 0.082031] 4740: [D loss: 0.688024, acc: 0.556641] [A loss: 0.703306, acc: 0.492188] 4741: [D loss: 0.696755, acc: 0.544922] [A loss: 0.825248, acc: 0.230469] 4742: [D loss: 0.689813, acc: 0.554688] [A loss: 0.795549, acc: 0.289062] 4743: [D loss: 0.694300, acc: 0.548828] [A loss: 0.834277, acc: 0.230469] 4744: [D loss: 0.689209, acc: 0.542969] [A loss: 0.804796, acc: 0.285156] 4745: [D loss: 0.702227, acc: 0.537109] [A loss: 0.902444, acc: 0.097656] 4746: [D loss: 0.692932, acc: 0.537109] [A loss: 0.769616, acc: 0.332031] 4747: [D loss: 0.695980, acc: 0.523438] [A loss: 0.870442, acc: 0.175781] 4748: [D loss: 0.706834, acc: 0.500000] [A loss: 0.785583, acc: 0.296875] 4749: [D loss: 0.712416, acc: 0.498047] [A loss: 0.838046, acc: 0.253906] 4750: [D loss: 0.693221, acc: 0.511719] [A loss: 0.780678, acc: 0.324219] 4751: [D loss: 0.691404, acc: 0.539062] [A loss: 0.847828, acc: 0.214844] 4752: [D loss: 0.696000, acc: 0.533203] [A loss: 0.816337, acc: 0.277344] 4753: [D loss: 0.698112, acc: 0.542969] [A loss: 0.909870, acc: 0.140625] 4754: [D loss: 0.704611, acc: 0.496094] [A loss: 0.766157, acc: 0.367188] 4755: [D loss: 0.690223, acc: 0.550781] [A loss: 0.860093, acc: 0.179688] 4756: [D loss: 0.683254, acc: 0.554688] [A loss: 0.739283, acc: 0.390625] 4757: [D loss: 0.718770, acc: 0.501953] [A loss: 0.868699, acc: 0.175781] 4758: [D loss: 0.693310, acc: 0.562500] [A loss: 0.733667, acc: 0.437500] 4759: [D loss: 0.696704, acc: 0.537109] [A loss: 1.017650, acc: 0.039062] 4760: [D loss: 0.705849, acc: 0.490234] [A loss: 0.687072, acc: 0.527344] 4761: [D loss: 0.709045, acc: 0.521484] [A loss: 0.838001, acc: 0.222656] 4762: [D loss: 0.686602, acc: 0.560547] [A loss: 0.789481, acc: 0.281250] 4763: [D loss: 0.713661, acc: 0.515625] [A loss: 0.896131, acc: 0.125000] 4764: [D loss: 0.696462, acc: 0.523438] [A loss: 0.745887, acc: 0.398438] 4765: [D loss: 0.714095, acc: 0.517578] [A loss: 0.957418, acc: 0.070312] 4766: [D loss: 0.693009, acc: 0.537109] [A loss: 0.690654, acc: 0.531250] 4767: [D loss: 0.705585, acc: 0.509766] [A loss: 0.850305, acc: 0.214844] 4768: [D loss: 0.718075, acc: 0.474609] [A loss: 0.777285, acc: 0.347656] 4769: [D loss: 0.702488, acc: 0.542969] [A loss: 0.777326, acc: 0.359375] 4770: [D loss: 0.697886, acc: 0.531250] [A loss: 0.806924, acc: 0.300781] 4771: [D loss: 0.703094, acc: 0.492188] [A loss: 0.876275, acc: 0.148438] 4772: [D loss: 0.684182, acc: 0.556641] [A loss: 0.763862, acc: 0.335938] 4773: [D loss: 0.698229, acc: 0.519531] [A loss: 0.798249, acc: 0.265625] 4774: [D loss: 0.708835, acc: 0.515625] [A loss: 0.810834, acc: 0.226562] 4775: [D loss: 0.707552, acc: 0.498047] [A loss: 0.883013, acc: 0.132812] 4776: [D loss: 0.714371, acc: 0.474609] [A loss: 0.773064, acc: 0.335938] 4777: [D loss: 0.687550, acc: 0.544922] [A loss: 0.817417, acc: 0.230469] 4778: [D loss: 0.702187, acc: 0.496094] [A loss: 0.863858, acc: 0.183594] 4779: [D loss: 0.703264, acc: 0.523438] [A loss: 0.778073, acc: 0.335938] 4780: [D loss: 0.705923, acc: 0.531250] [A loss: 0.880869, acc: 0.171875] 4781: [D loss: 0.698958, acc: 0.521484] [A loss: 0.779305, acc: 0.343750] 4782: [D loss: 0.689287, acc: 0.537109] [A loss: 0.845021, acc: 0.191406] 4783: [D loss: 0.714206, acc: 0.494141] [A loss: 0.846718, acc: 0.187500] 4784: [D loss: 0.698611, acc: 0.519531] [A loss: 0.808460, acc: 0.238281] 4785: [D loss: 0.709828, acc: 0.501953] [A loss: 0.836226, acc: 0.191406] 4786: [D loss: 0.691551, acc: 0.537109] [A loss: 0.910168, acc: 0.125000] 4787: [D loss: 0.702922, acc: 0.501953] [A loss: 0.704597, acc: 0.500000] 4788: [D loss: 0.707461, acc: 0.533203] [A loss: 0.997359, acc: 0.097656] 4789: [D loss: 0.693327, acc: 0.531250] [A loss: 0.673284, acc: 0.554688] 4790: [D loss: 0.728641, acc: 0.511719] [A loss: 0.841394, acc: 0.210938] 4791: [D loss: 0.698230, acc: 0.500000] [A loss: 0.759631, acc: 0.382812] 4792: [D loss: 0.712584, acc: 0.505859] [A loss: 0.907210, acc: 0.113281] 4793: [D loss: 0.702979, acc: 0.503906] [A loss: 0.705020, acc: 0.464844] 4794: [D loss: 0.713527, acc: 0.527344] [A loss: 0.917637, acc: 0.136719] 4795: [D loss: 0.702710, acc: 0.501953] [A loss: 0.767206, acc: 0.359375] 4796: [D loss: 0.707024, acc: 0.498047] [A loss: 0.779321, acc: 0.308594] 4797: [D loss: 0.715583, acc: 0.480469] [A loss: 0.849333, acc: 0.187500] 4798: [D loss: 0.699860, acc: 0.505859] [A loss: 0.768406, acc: 0.355469] 4799: [D loss: 0.697494, acc: 0.517578] [A loss: 0.780311, acc: 0.351562] 4800: [D loss: 0.698929, acc: 0.519531] [A loss: 0.815502, acc: 0.242188] 4801: [D loss: 0.693638, acc: 0.552734] [A loss: 0.844568, acc: 0.199219] 4802: [D loss: 0.700109, acc: 0.488281] [A loss: 0.783580, acc: 0.320312] 4803: [D loss: 0.703144, acc: 0.523438] [A loss: 0.871124, acc: 0.156250] 4804: [D loss: 0.691662, acc: 0.533203] [A loss: 0.826539, acc: 0.253906] 4805: [D loss: 0.704658, acc: 0.500000] [A loss: 0.792047, acc: 0.304688] 4806: [D loss: 0.691788, acc: 0.552734] [A loss: 0.861421, acc: 0.183594] 4807: [D loss: 0.693128, acc: 0.525391] [A loss: 0.787721, acc: 0.312500] 4808: [D loss: 0.701989, acc: 0.517578] [A loss: 0.825057, acc: 0.234375] 4809: [D loss: 0.703402, acc: 0.515625] [A loss: 0.775792, acc: 0.335938] 4810: [D loss: 0.714321, acc: 0.500000] [A loss: 0.933484, acc: 0.117188] 4811: [D loss: 0.701225, acc: 0.513672] [A loss: 0.692805, acc: 0.562500] 4812: [D loss: 0.718733, acc: 0.507812] [A loss: 0.905018, acc: 0.121094] 4813: [D loss: 0.685733, acc: 0.562500] [A loss: 0.726509, acc: 0.414062] 4814: [D loss: 0.697728, acc: 0.509766] [A loss: 0.780958, acc: 0.316406] 4815: [D loss: 0.695909, acc: 0.529297] [A loss: 0.799135, acc: 0.277344] 4816: [D loss: 0.707556, acc: 0.517578] [A loss: 0.784041, acc: 0.285156] 4817: [D loss: 0.693267, acc: 0.531250] [A loss: 0.776819, acc: 0.324219] 4818: [D loss: 0.699627, acc: 0.525391] [A loss: 0.818820, acc: 0.250000] 4819: [D loss: 0.690265, acc: 0.513672] [A loss: 0.829666, acc: 0.226562] 4820: [D loss: 0.704058, acc: 0.509766] [A loss: 0.821461, acc: 0.210938] 4821: [D loss: 0.703668, acc: 0.500000] [A loss: 0.840841, acc: 0.242188] 4822: [D loss: 0.698708, acc: 0.533203] [A loss: 0.841088, acc: 0.257812] 4823: [D loss: 0.691756, acc: 0.560547] [A loss: 0.786707, acc: 0.304688] 4824: [D loss: 0.693743, acc: 0.558594] [A loss: 0.903283, acc: 0.140625] 4825: [D loss: 0.705139, acc: 0.521484] [A loss: 0.700731, acc: 0.503906] 4826: [D loss: 0.719931, acc: 0.525391] [A loss: 1.080423, acc: 0.015625] 4827: [D loss: 0.709301, acc: 0.511719] [A loss: 0.731477, acc: 0.414062] 4828: [D loss: 0.714711, acc: 0.511719] [A loss: 0.836199, acc: 0.238281] 4829: [D loss: 0.700629, acc: 0.507812] [A loss: 0.799378, acc: 0.269531] 4830: [D loss: 0.722363, acc: 0.505859] [A loss: 0.851895, acc: 0.195312] 4831: [D loss: 0.705134, acc: 0.507812] [A loss: 0.816120, acc: 0.261719] 4832: [D loss: 0.712821, acc: 0.503906] [A loss: 0.798074, acc: 0.316406] 4833: [D loss: 0.692520, acc: 0.539062] [A loss: 0.830867, acc: 0.214844] 4834: [D loss: 0.702918, acc: 0.513672] [A loss: 0.881673, acc: 0.160156] 4835: [D loss: 0.695522, acc: 0.544922] [A loss: 0.838317, acc: 0.214844] 4836: [D loss: 0.700632, acc: 0.525391] [A loss: 0.831670, acc: 0.226562] 4837: [D loss: 0.695979, acc: 0.523438] [A loss: 0.772959, acc: 0.328125] 4838: [D loss: 0.703374, acc: 0.529297] [A loss: 0.918908, acc: 0.101562] 4839: [D loss: 0.696392, acc: 0.556641] [A loss: 0.726867, acc: 0.406250] 4840: [D loss: 0.689375, acc: 0.552734] [A loss: 0.883127, acc: 0.167969] 4841: [D loss: 0.697214, acc: 0.507812] [A loss: 0.770900, acc: 0.347656] 4842: [D loss: 0.701543, acc: 0.505859] [A loss: 0.850827, acc: 0.187500] 4843: [D loss: 0.698114, acc: 0.505859] [A loss: 0.821795, acc: 0.242188] 4844: [D loss: 0.700611, acc: 0.503906] [A loss: 0.855339, acc: 0.187500] 4845: [D loss: 0.709449, acc: 0.503906] [A loss: 0.747411, acc: 0.433594] 4846: [D loss: 0.720413, acc: 0.484375] [A loss: 0.891810, acc: 0.132812] 4847: [D loss: 0.694302, acc: 0.525391] [A loss: 0.758273, acc: 0.359375] 4848: [D loss: 0.703574, acc: 0.523438] [A loss: 0.922880, acc: 0.113281] 4849: [D loss: 0.698219, acc: 0.517578] [A loss: 0.742821, acc: 0.386719] 4850: [D loss: 0.704334, acc: 0.507812] [A loss: 0.871266, acc: 0.179688] 4851: [D loss: 0.688890, acc: 0.542969] [A loss: 0.732581, acc: 0.410156] 4852: [D loss: 0.704716, acc: 0.527344] [A loss: 0.892209, acc: 0.136719] 4853: [D loss: 0.717844, acc: 0.496094] [A loss: 0.756570, acc: 0.355469] 4854: [D loss: 0.702761, acc: 0.541016] [A loss: 0.858432, acc: 0.164062] 4855: [D loss: 0.698693, acc: 0.501953] [A loss: 0.711449, acc: 0.511719] 4856: [D loss: 0.724213, acc: 0.511719] [A loss: 1.042167, acc: 0.023438] 4857: [D loss: 0.706492, acc: 0.531250] [A loss: 0.677750, acc: 0.542969] 4858: [D loss: 0.716930, acc: 0.521484] [A loss: 0.883515, acc: 0.203125] 4859: [D loss: 0.686937, acc: 0.539062] [A loss: 0.749415, acc: 0.375000] 4860: [D loss: 0.714148, acc: 0.482422] [A loss: 0.855243, acc: 0.164062] 4861: [D loss: 0.686093, acc: 0.550781] [A loss: 0.734826, acc: 0.417969] 4862: [D loss: 0.717355, acc: 0.511719] [A loss: 0.952469, acc: 0.074219] 4863: [D loss: 0.696566, acc: 0.541016] [A loss: 0.737896, acc: 0.414062] 4864: [D loss: 0.704460, acc: 0.531250] [A loss: 0.816448, acc: 0.250000] 4865: [D loss: 0.697703, acc: 0.531250] [A loss: 0.769002, acc: 0.355469] 4866: [D loss: 0.703500, acc: 0.503906] [A loss: 0.794478, acc: 0.335938] 4867: [D loss: 0.699755, acc: 0.521484] [A loss: 0.783173, acc: 0.339844] 4868: [D loss: 0.701164, acc: 0.503906] [A loss: 0.788285, acc: 0.312500] 4869: [D loss: 0.702471, acc: 0.513672] [A loss: 0.811522, acc: 0.292969] 4870: [D loss: 0.699527, acc: 0.539062] [A loss: 0.813729, acc: 0.269531] 4871: [D loss: 0.691005, acc: 0.546875] [A loss: 0.824391, acc: 0.226562] 4872: [D loss: 0.698269, acc: 0.501953] [A loss: 0.833980, acc: 0.199219] 4873: [D loss: 0.691073, acc: 0.550781] [A loss: 0.765119, acc: 0.402344] 4874: [D loss: 0.706681, acc: 0.515625] [A loss: 0.896696, acc: 0.140625] 4875: [D loss: 0.695127, acc: 0.529297] [A loss: 0.756315, acc: 0.347656] 4876: [D loss: 0.706484, acc: 0.511719] [A loss: 0.871371, acc: 0.156250] 4877: [D loss: 0.697029, acc: 0.511719] [A loss: 0.759436, acc: 0.375000] 4878: [D loss: 0.700723, acc: 0.525391] [A loss: 0.849306, acc: 0.234375] 4879: [D loss: 0.706597, acc: 0.480469] [A loss: 0.758331, acc: 0.371094] 4880: [D loss: 0.699918, acc: 0.529297] [A loss: 0.902507, acc: 0.125000] 4881: [D loss: 0.688206, acc: 0.578125] [A loss: 0.742862, acc: 0.417969] 4882: [D loss: 0.727602, acc: 0.501953] [A loss: 0.934678, acc: 0.097656] 4883: [D loss: 0.704031, acc: 0.517578] [A loss: 0.719002, acc: 0.425781] 4884: [D loss: 0.697560, acc: 0.537109] [A loss: 0.873195, acc: 0.156250] 4885: [D loss: 0.698470, acc: 0.515625] [A loss: 0.719917, acc: 0.414062] 4886: [D loss: 0.704310, acc: 0.501953] [A loss: 0.874295, acc: 0.167969] 4887: [D loss: 0.705891, acc: 0.486328] [A loss: 0.767218, acc: 0.367188] 4888: [D loss: 0.700136, acc: 0.517578] [A loss: 0.905891, acc: 0.136719] 4889: [D loss: 0.708104, acc: 0.484375] [A loss: 0.740980, acc: 0.406250] 4890: [D loss: 0.704981, acc: 0.496094] [A loss: 0.813528, acc: 0.246094] 4891: [D loss: 0.705412, acc: 0.501953] [A loss: 0.753475, acc: 0.394531] 4892: [D loss: 0.700707, acc: 0.552734] [A loss: 0.852291, acc: 0.230469] 4893: [D loss: 0.697633, acc: 0.503906] [A loss: 0.752496, acc: 0.378906] 4894: [D loss: 0.698944, acc: 0.519531] [A loss: 0.923847, acc: 0.113281] 4895: [D loss: 0.689610, acc: 0.548828] [A loss: 0.730176, acc: 0.417969] 4896: [D loss: 0.718783, acc: 0.492188] [A loss: 0.929522, acc: 0.117188] 4897: [D loss: 0.697476, acc: 0.529297] [A loss: 0.699489, acc: 0.503906] 4898: [D loss: 0.715091, acc: 0.490234] [A loss: 0.829158, acc: 0.234375] 4899: [D loss: 0.690810, acc: 0.552734] [A loss: 0.751805, acc: 0.406250] 4900: [D loss: 0.714434, acc: 0.527344] [A loss: 0.906726, acc: 0.136719] 4901: [D loss: 0.689648, acc: 0.533203] [A loss: 0.734901, acc: 0.464844] 4902: [D loss: 0.716065, acc: 0.492188] [A loss: 0.903655, acc: 0.148438] 4903: [D loss: 0.694585, acc: 0.517578] [A loss: 0.707192, acc: 0.511719] 4904: [D loss: 0.721596, acc: 0.492188] [A loss: 0.888943, acc: 0.148438] 4905: [D loss: 0.706013, acc: 0.486328] [A loss: 0.698714, acc: 0.523438] 4906: [D loss: 0.712292, acc: 0.501953] [A loss: 0.856215, acc: 0.218750] 4907: [D loss: 0.710413, acc: 0.500000] [A loss: 0.766237, acc: 0.316406] 4908: [D loss: 0.710971, acc: 0.511719] [A loss: 0.801842, acc: 0.292969] 4909: [D loss: 0.693562, acc: 0.548828] [A loss: 0.791112, acc: 0.320312] 4910: [D loss: 0.699837, acc: 0.517578] [A loss: 0.836701, acc: 0.218750] 4911: [D loss: 0.700805, acc: 0.509766] [A loss: 0.769944, acc: 0.371094] 4912: [D loss: 0.713603, acc: 0.492188] [A loss: 0.935538, acc: 0.074219] 4913: [D loss: 0.698608, acc: 0.500000] [A loss: 0.738328, acc: 0.410156] 4914: [D loss: 0.712618, acc: 0.509766] [A loss: 0.892515, acc: 0.132812] 4915: [D loss: 0.695147, acc: 0.533203] [A loss: 0.725431, acc: 0.437500] 4916: [D loss: 0.708096, acc: 0.492188] [A loss: 0.870798, acc: 0.125000] 4917: [D loss: 0.684302, acc: 0.533203] [A loss: 0.748777, acc: 0.359375] 4918: [D loss: 0.725359, acc: 0.449219] [A loss: 0.885111, acc: 0.128906] 4919: [D loss: 0.711633, acc: 0.468750] [A loss: 0.757000, acc: 0.367188] 4920: [D loss: 0.703203, acc: 0.515625] [A loss: 0.897955, acc: 0.128906] 4921: [D loss: 0.705767, acc: 0.505859] [A loss: 0.707835, acc: 0.484375] 4922: [D loss: 0.712617, acc: 0.490234] [A loss: 0.865717, acc: 0.187500] 4923: [D loss: 0.692680, acc: 0.525391] [A loss: 0.766457, acc: 0.367188] 4924: [D loss: 0.719685, acc: 0.470703] [A loss: 0.827776, acc: 0.199219] 4925: [D loss: 0.698438, acc: 0.533203] [A loss: 0.758205, acc: 0.382812] 4926: [D loss: 0.699337, acc: 0.521484] [A loss: 0.925254, acc: 0.121094] 4927: [D loss: 0.695930, acc: 0.521484] [A loss: 0.727979, acc: 0.417969] 4928: [D loss: 0.692719, acc: 0.544922] [A loss: 0.884677, acc: 0.171875] 4929: [D loss: 0.698468, acc: 0.507812] [A loss: 0.757265, acc: 0.332031] 4930: [D loss: 0.704879, acc: 0.531250] [A loss: 0.880474, acc: 0.132812] 4931: [D loss: 0.697601, acc: 0.525391] [A loss: 0.727962, acc: 0.433594] 4932: [D loss: 0.700547, acc: 0.529297] [A loss: 0.940753, acc: 0.078125] 4933: [D loss: 0.709235, acc: 0.500000] [A loss: 0.688277, acc: 0.539062] 4934: [D loss: 0.724116, acc: 0.515625] [A loss: 0.918382, acc: 0.117188] 4935: [D loss: 0.699465, acc: 0.519531] [A loss: 0.760502, acc: 0.359375] 4936: [D loss: 0.696714, acc: 0.517578] [A loss: 0.897559, acc: 0.136719] 4937: [D loss: 0.696069, acc: 0.507812] [A loss: 0.743307, acc: 0.390625] 4938: [D loss: 0.704004, acc: 0.531250] [A loss: 0.861399, acc: 0.179688] 4939: [D loss: 0.695265, acc: 0.527344] [A loss: 0.785590, acc: 0.335938] 4940: [D loss: 0.710836, acc: 0.492188] [A loss: 0.860684, acc: 0.187500] 4941: [D loss: 0.708060, acc: 0.484375] [A loss: 0.748154, acc: 0.386719] 4942: [D loss: 0.687032, acc: 0.548828] [A loss: 0.872287, acc: 0.179688] 4943: [D loss: 0.700205, acc: 0.531250] [A loss: 0.765101, acc: 0.367188] 4944: [D loss: 0.701913, acc: 0.488281] [A loss: 0.943919, acc: 0.109375] 4945: [D loss: 0.695179, acc: 0.541016] [A loss: 0.687676, acc: 0.507812] 4946: [D loss: 0.724248, acc: 0.484375] [A loss: 0.982778, acc: 0.078125] 4947: [D loss: 0.694878, acc: 0.537109] [A loss: 0.696201, acc: 0.585938] 4948: [D loss: 0.698710, acc: 0.542969] [A loss: 0.851421, acc: 0.207031] 4949: [D loss: 0.704580, acc: 0.521484] [A loss: 0.731846, acc: 0.429688] 4950: [D loss: 0.701543, acc: 0.542969] [A loss: 0.784124, acc: 0.292969] 4951: [D loss: 0.689631, acc: 0.531250] [A loss: 0.811916, acc: 0.281250] 4952: [D loss: 0.693193, acc: 0.537109] [A loss: 0.822140, acc: 0.273438] 4953: [D loss: 0.704910, acc: 0.523438] [A loss: 0.789883, acc: 0.285156] 4954: [D loss: 0.699165, acc: 0.513672] [A loss: 0.844026, acc: 0.195312] 4955: [D loss: 0.691800, acc: 0.558594] [A loss: 0.806959, acc: 0.253906] 4956: [D loss: 0.699853, acc: 0.521484] [A loss: 0.766504, acc: 0.375000] 4957: [D loss: 0.688372, acc: 0.541016] [A loss: 0.813702, acc: 0.269531] 4958: [D loss: 0.714212, acc: 0.515625] [A loss: 0.807189, acc: 0.257812] 4959: [D loss: 0.695876, acc: 0.560547] [A loss: 0.799951, acc: 0.277344] 4960: [D loss: 0.702976, acc: 0.492188] [A loss: 0.759118, acc: 0.363281] 4961: [D loss: 0.693282, acc: 0.542969] [A loss: 0.917872, acc: 0.093750] 4962: [D loss: 0.697832, acc: 0.500000] [A loss: 0.697848, acc: 0.457031] 4963: [D loss: 0.728925, acc: 0.486328] [A loss: 0.957858, acc: 0.089844] 4964: [D loss: 0.684251, acc: 0.539062] [A loss: 0.670420, acc: 0.562500] 4965: [D loss: 0.729623, acc: 0.494141] [A loss: 0.885639, acc: 0.148438] 4966: [D loss: 0.689979, acc: 0.570312] [A loss: 0.710733, acc: 0.464844] 4967: [D loss: 0.715578, acc: 0.529297] [A loss: 0.983686, acc: 0.085938] 4968: [D loss: 0.695066, acc: 0.529297] [A loss: 0.701833, acc: 0.484375] 4969: [D loss: 0.709944, acc: 0.517578] [A loss: 0.888734, acc: 0.148438] 4970: [D loss: 0.696913, acc: 0.523438] [A loss: 0.719472, acc: 0.429688] 4971: [D loss: 0.704855, acc: 0.542969] [A loss: 0.860242, acc: 0.160156] 4972: [D loss: 0.711001, acc: 0.494141] [A loss: 0.771786, acc: 0.332031] 4973: [D loss: 0.690258, acc: 0.541016] [A loss: 0.830528, acc: 0.207031] 4974: [D loss: 0.700004, acc: 0.507812] [A loss: 0.753910, acc: 0.382812] 4975: [D loss: 0.713715, acc: 0.509766] [A loss: 0.882875, acc: 0.175781] 4976: [D loss: 0.693365, acc: 0.523438] [A loss: 0.714304, acc: 0.496094] 4977: [D loss: 0.700011, acc: 0.521484] [A loss: 0.927470, acc: 0.109375] 4978: [D loss: 0.691388, acc: 0.541016] [A loss: 0.765716, acc: 0.324219] 4979: [D loss: 0.705609, acc: 0.513672] [A loss: 0.914191, acc: 0.117188] 4980: [D loss: 0.683633, acc: 0.542969] [A loss: 0.785285, acc: 0.332031] 4981: [D loss: 0.680298, acc: 0.564453] [A loss: 0.845838, acc: 0.179688] 4982: [D loss: 0.701652, acc: 0.488281] [A loss: 0.798583, acc: 0.292969] 4983: [D loss: 0.698470, acc: 0.527344] [A loss: 0.838587, acc: 0.269531] 4984: [D loss: 0.684767, acc: 0.554688] [A loss: 0.778116, acc: 0.335938] 4985: [D loss: 0.692058, acc: 0.525391] [A loss: 0.935592, acc: 0.109375] 4986: [D loss: 0.697016, acc: 0.529297] [A loss: 0.743978, acc: 0.390625] 4987: [D loss: 0.701474, acc: 0.535156] [A loss: 0.852151, acc: 0.203125] 4988: [D loss: 0.694395, acc: 0.541016] [A loss: 0.704060, acc: 0.476562] 4989: [D loss: 0.728197, acc: 0.496094] [A loss: 1.056205, acc: 0.031250] 4990: [D loss: 0.709287, acc: 0.517578] [A loss: 0.678480, acc: 0.558594] 4991: [D loss: 0.739950, acc: 0.511719] [A loss: 0.921650, acc: 0.113281] 4992: [D loss: 0.689847, acc: 0.566406] [A loss: 0.739013, acc: 0.402344] 4993: [D loss: 0.711735, acc: 0.507812] [A loss: 0.885946, acc: 0.160156] 4994: [D loss: 0.709816, acc: 0.482422] [A loss: 0.726033, acc: 0.417969] 4995: [D loss: 0.711882, acc: 0.501953] [A loss: 0.814127, acc: 0.246094] 4996: [D loss: 0.710103, acc: 0.496094] [A loss: 0.805161, acc: 0.277344] 4997: [D loss: 0.701349, acc: 0.500000] [A loss: 0.846168, acc: 0.199219] 4998: [D loss: 0.710705, acc: 0.470703] [A loss: 0.819839, acc: 0.242188] 4999: [D loss: 0.708960, acc: 0.488281] [A loss: 0.802107, acc: 0.269531] 5000: [D loss: 0.710218, acc: 0.476562] [A loss: 0.816841, acc: 0.300781] 5001: [D loss: 0.691644, acc: 0.507812] [A loss: 0.829590, acc: 0.230469] 5002: [D loss: 0.695527, acc: 0.525391] [A loss: 0.770104, acc: 0.375000] 5003: [D loss: 0.710671, acc: 0.517578] [A loss: 0.878318, acc: 0.191406] 5004: [D loss: 0.692257, acc: 0.527344] [A loss: 0.791781, acc: 0.292969] 5005: [D loss: 0.698775, acc: 0.505859] [A loss: 0.878776, acc: 0.167969] 5006: [D loss: 0.701374, acc: 0.507812] [A loss: 0.806267, acc: 0.292969] 5007: [D loss: 0.708122, acc: 0.505859] [A loss: 0.872957, acc: 0.171875] 5008: [D loss: 0.713577, acc: 0.474609] [A loss: 0.761224, acc: 0.363281] 5009: [D loss: 0.698258, acc: 0.541016] [A loss: 0.870731, acc: 0.164062] 5010: [D loss: 0.704915, acc: 0.488281] [A loss: 0.762492, acc: 0.347656] 5011: [D loss: 0.702955, acc: 0.517578] [A loss: 0.883266, acc: 0.152344] 5012: [D loss: 0.703617, acc: 0.515625] [A loss: 0.801651, acc: 0.269531] 5013: [D loss: 0.701719, acc: 0.529297] [A loss: 0.904219, acc: 0.148438] 5014: [D loss: 0.717616, acc: 0.490234] [A loss: 0.764261, acc: 0.355469] 5015: [D loss: 0.712704, acc: 0.511719] [A loss: 0.852101, acc: 0.222656] 5016: [D loss: 0.699326, acc: 0.544922] [A loss: 0.898130, acc: 0.148438] 5017: [D loss: 0.689385, acc: 0.542969] [A loss: 0.766906, acc: 0.382812] 5018: [D loss: 0.707642, acc: 0.496094] [A loss: 0.920254, acc: 0.117188] 5019: [D loss: 0.706228, acc: 0.501953] [A loss: 0.739095, acc: 0.441406] 5020: [D loss: 0.714148, acc: 0.507812] [A loss: 0.934523, acc: 0.097656] 5021: [D loss: 0.703471, acc: 0.507812] [A loss: 0.686063, acc: 0.566406] 5022: [D loss: 0.722101, acc: 0.507812] [A loss: 0.923190, acc: 0.113281] 5023: [D loss: 0.705861, acc: 0.509766] [A loss: 0.832593, acc: 0.234375] 5024: [D loss: 0.695072, acc: 0.548828] [A loss: 0.847926, acc: 0.218750] 5025: [D loss: 0.697337, acc: 0.511719] [A loss: 0.816255, acc: 0.238281] 5026: [D loss: 0.711687, acc: 0.539062] [A loss: 0.943172, acc: 0.105469] 5027: [D loss: 0.687715, acc: 0.531250] [A loss: 0.721793, acc: 0.457031] 5028: [D loss: 0.702784, acc: 0.519531] [A loss: 0.905521, acc: 0.125000] 5029: [D loss: 0.688851, acc: 0.533203] [A loss: 0.686870, acc: 0.574219] 5030: [D loss: 0.727547, acc: 0.500000] [A loss: 0.945635, acc: 0.093750] 5031: [D loss: 0.708284, acc: 0.486328] [A loss: 0.673093, acc: 0.562500] 5032: [D loss: 0.725961, acc: 0.511719] [A loss: 0.944262, acc: 0.101562] 5033: [D loss: 0.693800, acc: 0.529297] [A loss: 0.668173, acc: 0.593750] 5034: [D loss: 0.710285, acc: 0.513672] [A loss: 0.885193, acc: 0.136719] 5035: [D loss: 0.692411, acc: 0.541016] [A loss: 0.762764, acc: 0.328125] 5036: [D loss: 0.703637, acc: 0.533203] [A loss: 0.865217, acc: 0.199219] 5037: [D loss: 0.700265, acc: 0.542969] [A loss: 0.720187, acc: 0.433594] 5038: [D loss: 0.718105, acc: 0.523438] [A loss: 0.938376, acc: 0.097656] 5039: [D loss: 0.693320, acc: 0.539062] [A loss: 0.720957, acc: 0.445312] 5040: [D loss: 0.706578, acc: 0.544922] [A loss: 0.879843, acc: 0.179688] 5041: [D loss: 0.710762, acc: 0.503906] [A loss: 0.825401, acc: 0.261719] 5042: [D loss: 0.715251, acc: 0.494141] [A loss: 0.846523, acc: 0.222656] 5043: [D loss: 0.707161, acc: 0.503906] [A loss: 0.824598, acc: 0.253906] 5044: [D loss: 0.691529, acc: 0.523438] [A loss: 0.831650, acc: 0.242188] 5045: [D loss: 0.700751, acc: 0.515625] [A loss: 0.807866, acc: 0.273438] 5046: [D loss: 0.695434, acc: 0.544922] [A loss: 0.842378, acc: 0.218750] 5047: [D loss: 0.706257, acc: 0.511719] [A loss: 0.869773, acc: 0.156250] 5048: [D loss: 0.706903, acc: 0.482422] [A loss: 0.758252, acc: 0.375000] 5049: [D loss: 0.702419, acc: 0.513672] [A loss: 0.820737, acc: 0.277344] 5050: [D loss: 0.710199, acc: 0.509766] [A loss: 0.912362, acc: 0.117188] 5051: [D loss: 0.694836, acc: 0.529297] [A loss: 0.735742, acc: 0.421875] 5052: [D loss: 0.711914, acc: 0.507812] [A loss: 0.946149, acc: 0.085938] 5053: [D loss: 0.706376, acc: 0.523438] [A loss: 0.680987, acc: 0.542969] 5054: [D loss: 0.710085, acc: 0.521484] [A loss: 0.895736, acc: 0.117188] 5055: [D loss: 0.697210, acc: 0.519531] [A loss: 0.679442, acc: 0.539062] 5056: [D loss: 0.718548, acc: 0.507812] [A loss: 0.941210, acc: 0.109375] 5057: [D loss: 0.721795, acc: 0.494141] [A loss: 0.723666, acc: 0.429688] 5058: [D loss: 0.714564, acc: 0.505859] [A loss: 0.901153, acc: 0.160156] 5059: [D loss: 0.699992, acc: 0.517578] [A loss: 0.764710, acc: 0.355469] 5060: [D loss: 0.702966, acc: 0.513672] [A loss: 0.825948, acc: 0.253906] 5061: [D loss: 0.700832, acc: 0.527344] [A loss: 0.807880, acc: 0.269531] 5062: [D loss: 0.716097, acc: 0.521484] [A loss: 0.821837, acc: 0.210938] 5063: [D loss: 0.710000, acc: 0.501953] [A loss: 0.830506, acc: 0.187500] 5064: [D loss: 0.710456, acc: 0.476562] [A loss: 0.801689, acc: 0.289062] 5065: [D loss: 0.706840, acc: 0.515625] [A loss: 0.951475, acc: 0.062500] 5066: [D loss: 0.697730, acc: 0.523438] [A loss: 0.721088, acc: 0.449219] 5067: [D loss: 0.724541, acc: 0.503906] [A loss: 1.009635, acc: 0.050781] 5068: [D loss: 0.700286, acc: 0.513672] [A loss: 0.682360, acc: 0.558594] 5069: [D loss: 0.717832, acc: 0.513672] [A loss: 0.877431, acc: 0.179688] 5070: [D loss: 0.699103, acc: 0.482422] [A loss: 0.736122, acc: 0.398438] 5071: [D loss: 0.708799, acc: 0.507812] [A loss: 0.849409, acc: 0.203125] 5072: [D loss: 0.678970, acc: 0.548828] [A loss: 0.764719, acc: 0.312500] 5073: [D loss: 0.710546, acc: 0.521484] [A loss: 0.799884, acc: 0.324219] 5074: [D loss: 0.711499, acc: 0.496094] [A loss: 0.857032, acc: 0.164062] 5075: [D loss: 0.691926, acc: 0.537109] [A loss: 0.782512, acc: 0.328125] 5076: [D loss: 0.711279, acc: 0.531250] [A loss: 0.861385, acc: 0.214844] 5077: [D loss: 0.685991, acc: 0.560547] [A loss: 0.821302, acc: 0.281250] 5078: [D loss: 0.721466, acc: 0.503906] [A loss: 0.924939, acc: 0.136719] 5079: [D loss: 0.709009, acc: 0.500000] [A loss: 0.743571, acc: 0.386719] 5080: [D loss: 0.718698, acc: 0.496094] [A loss: 0.855055, acc: 0.210938] 5081: [D loss: 0.701562, acc: 0.501953] [A loss: 0.749681, acc: 0.343750] 5082: [D loss: 0.692773, acc: 0.541016] [A loss: 0.844411, acc: 0.230469] 5083: [D loss: 0.697371, acc: 0.544922] [A loss: 0.726930, acc: 0.425781] 5084: [D loss: 0.711377, acc: 0.519531] [A loss: 0.914460, acc: 0.089844] 5085: [D loss: 0.699666, acc: 0.513672] [A loss: 0.732290, acc: 0.421875] 5086: [D loss: 0.710901, acc: 0.511719] [A loss: 0.956706, acc: 0.078125] 5087: [D loss: 0.687783, acc: 0.537109] [A loss: 0.669178, acc: 0.554688] 5088: [D loss: 0.706120, acc: 0.501953] [A loss: 0.919338, acc: 0.109375] 5089: [D loss: 0.711008, acc: 0.494141] [A loss: 0.734620, acc: 0.429688] 5090: [D loss: 0.710078, acc: 0.494141] [A loss: 0.860364, acc: 0.210938] 5091: [D loss: 0.700870, acc: 0.507812] [A loss: 0.731484, acc: 0.429688] 5092: [D loss: 0.714101, acc: 0.503906] [A loss: 0.870753, acc: 0.160156] 5093: [D loss: 0.706562, acc: 0.511719] [A loss: 0.757507, acc: 0.382812] 5094: [D loss: 0.711723, acc: 0.500000] [A loss: 0.910284, acc: 0.128906] 5095: [D loss: 0.699664, acc: 0.523438] [A loss: 0.784878, acc: 0.296875] 5096: [D loss: 0.708084, acc: 0.529297] [A loss: 0.836694, acc: 0.195312] 5097: [D loss: 0.707329, acc: 0.503906] [A loss: 0.826448, acc: 0.214844] 5098: [D loss: 0.703838, acc: 0.523438] [A loss: 0.846369, acc: 0.195312] 5099: [D loss: 0.698545, acc: 0.535156] [A loss: 0.827040, acc: 0.238281] 5100: [D loss: 0.703197, acc: 0.515625] [A loss: 0.839281, acc: 0.191406] 5101: [D loss: 0.699949, acc: 0.523438] [A loss: 0.768672, acc: 0.308594] 5102: [D loss: 0.701339, acc: 0.533203] [A loss: 0.859010, acc: 0.175781] 5103: [D loss: 0.706363, acc: 0.478516] [A loss: 0.776132, acc: 0.335938] 5104: [D loss: 0.697966, acc: 0.517578] [A loss: 0.936072, acc: 0.097656] 5105: [D loss: 0.701109, acc: 0.517578] [A loss: 0.732043, acc: 0.460938] 5106: [D loss: 0.708555, acc: 0.517578] [A loss: 0.833730, acc: 0.218750] 5107: [D loss: 0.693676, acc: 0.523438] [A loss: 0.766660, acc: 0.339844] 5108: [D loss: 0.700888, acc: 0.507812] [A loss: 0.826820, acc: 0.246094] 5109: [D loss: 0.708241, acc: 0.517578] [A loss: 0.778030, acc: 0.339844] 5110: [D loss: 0.717430, acc: 0.484375] [A loss: 0.957826, acc: 0.093750] 5111: [D loss: 0.693599, acc: 0.527344] [A loss: 0.709561, acc: 0.515625] 5112: [D loss: 0.713292, acc: 0.488281] [A loss: 0.859161, acc: 0.167969] 5113: [D loss: 0.691934, acc: 0.541016] [A loss: 0.775013, acc: 0.316406] 5114: [D loss: 0.707737, acc: 0.513672] [A loss: 0.877474, acc: 0.132812] 5115: [D loss: 0.704230, acc: 0.519531] [A loss: 0.766923, acc: 0.351562] 5116: [D loss: 0.709825, acc: 0.513672] [A loss: 0.916559, acc: 0.101562] 5117: [D loss: 0.704237, acc: 0.546875] [A loss: 0.746190, acc: 0.375000] 5118: [D loss: 0.710340, acc: 0.515625] [A loss: 0.913559, acc: 0.128906] 5119: [D loss: 0.690894, acc: 0.529297] [A loss: 0.708603, acc: 0.468750] 5120: [D loss: 0.713624, acc: 0.505859] [A loss: 0.881081, acc: 0.171875] 5121: [D loss: 0.694299, acc: 0.542969] [A loss: 0.766901, acc: 0.359375] 5122: [D loss: 0.700257, acc: 0.507812] [A loss: 0.798191, acc: 0.292969] 5123: [D loss: 0.712742, acc: 0.494141] [A loss: 0.916552, acc: 0.125000] 5124: [D loss: 0.715450, acc: 0.458984] [A loss: 0.781785, acc: 0.351562] 5125: [D loss: 0.706275, acc: 0.511719] [A loss: 0.887660, acc: 0.128906] 5126: [D loss: 0.689582, acc: 0.560547] [A loss: 0.755293, acc: 0.382812] 5127: [D loss: 0.717399, acc: 0.498047] [A loss: 0.956182, acc: 0.050781] 5128: [D loss: 0.692368, acc: 0.542969] [A loss: 0.726137, acc: 0.421875] 5129: [D loss: 0.703831, acc: 0.517578] [A loss: 0.865625, acc: 0.187500] 5130: [D loss: 0.697234, acc: 0.535156] [A loss: 0.737382, acc: 0.394531] 5131: [D loss: 0.701557, acc: 0.517578] [A loss: 0.942853, acc: 0.078125] 5132: [D loss: 0.705304, acc: 0.505859] [A loss: 0.726591, acc: 0.445312] 5133: [D loss: 0.703155, acc: 0.541016] [A loss: 0.894223, acc: 0.179688] 5134: [D loss: 0.695708, acc: 0.513672] [A loss: 0.756700, acc: 0.367188] 5135: [D loss: 0.697992, acc: 0.515625] [A loss: 0.933966, acc: 0.093750] 5136: [D loss: 0.703036, acc: 0.501953] [A loss: 0.751404, acc: 0.351562] 5137: [D loss: 0.698332, acc: 0.501953] [A loss: 0.845727, acc: 0.218750] 5138: [D loss: 0.694848, acc: 0.515625] [A loss: 0.767387, acc: 0.332031] 5139: [D loss: 0.696302, acc: 0.523438] [A loss: 0.884563, acc: 0.148438] 5140: [D loss: 0.700585, acc: 0.500000] [A loss: 0.791912, acc: 0.320312] 5141: [D loss: 0.705391, acc: 0.548828] [A loss: 0.923389, acc: 0.148438] 5142: [D loss: 0.700924, acc: 0.511719] [A loss: 0.689517, acc: 0.519531] 5143: [D loss: 0.699095, acc: 0.527344] [A loss: 0.990540, acc: 0.046875] 5144: [D loss: 0.693719, acc: 0.517578] [A loss: 0.674841, acc: 0.554688] 5145: [D loss: 0.727342, acc: 0.503906] [A loss: 0.972380, acc: 0.093750] 5146: [D loss: 0.686783, acc: 0.544922] [A loss: 0.698910, acc: 0.507812] 5147: [D loss: 0.705929, acc: 0.548828] [A loss: 0.859104, acc: 0.191406] 5148: [D loss: 0.696616, acc: 0.539062] [A loss: 0.758584, acc: 0.378906] 5149: [D loss: 0.719876, acc: 0.482422] [A loss: 0.867592, acc: 0.156250] 5150: [D loss: 0.693397, acc: 0.525391] [A loss: 0.777510, acc: 0.328125] 5151: [D loss: 0.680079, acc: 0.544922] [A loss: 0.847286, acc: 0.234375] 5152: [D loss: 0.695470, acc: 0.548828] [A loss: 0.781633, acc: 0.351562] 5153: [D loss: 0.705870, acc: 0.529297] [A loss: 0.816448, acc: 0.265625] 5154: [D loss: 0.696970, acc: 0.517578] [A loss: 0.866011, acc: 0.238281] 5155: [D loss: 0.696129, acc: 0.523438] [A loss: 0.775145, acc: 0.324219] 5156: [D loss: 0.723555, acc: 0.492188] [A loss: 0.922277, acc: 0.093750] 5157: [D loss: 0.696479, acc: 0.548828] [A loss: 0.736734, acc: 0.449219] 5158: [D loss: 0.703606, acc: 0.521484] [A loss: 0.900669, acc: 0.132812] 5159: [D loss: 0.688935, acc: 0.548828] [A loss: 0.732145, acc: 0.445312] 5160: [D loss: 0.708589, acc: 0.501953] [A loss: 0.924325, acc: 0.171875] 5161: [D loss: 0.690227, acc: 0.513672] [A loss: 0.742051, acc: 0.406250] 5162: [D loss: 0.697505, acc: 0.546875] [A loss: 0.859436, acc: 0.195312] 5163: [D loss: 0.689951, acc: 0.568359] [A loss: 0.805071, acc: 0.273438] 5164: [D loss: 0.705407, acc: 0.505859] [A loss: 0.852829, acc: 0.203125] 5165: [D loss: 0.703967, acc: 0.515625] [A loss: 0.815574, acc: 0.238281] 5166: [D loss: 0.693327, acc: 0.542969] [A loss: 0.838906, acc: 0.195312] 5167: [D loss: 0.700138, acc: 0.546875] [A loss: 0.837671, acc: 0.214844] 5168: [D loss: 0.705223, acc: 0.521484] [A loss: 0.851272, acc: 0.191406] 5169: [D loss: 0.691734, acc: 0.558594] [A loss: 0.762439, acc: 0.371094] 5170: [D loss: 0.697042, acc: 0.525391] [A loss: 0.886986, acc: 0.164062] 5171: [D loss: 0.691804, acc: 0.541016] [A loss: 0.683885, acc: 0.531250] 5172: [D loss: 0.717622, acc: 0.513672] [A loss: 0.960854, acc: 0.089844] 5173: [D loss: 0.709253, acc: 0.498047] [A loss: 0.677711, acc: 0.578125] 5174: [D loss: 0.713726, acc: 0.515625] [A loss: 0.974096, acc: 0.082031] 5175: [D loss: 0.695782, acc: 0.550781] [A loss: 0.674259, acc: 0.535156] 5176: [D loss: 0.717368, acc: 0.505859] [A loss: 0.906713, acc: 0.167969] 5177: [D loss: 0.692764, acc: 0.566406] [A loss: 0.783133, acc: 0.335938] 5178: [D loss: 0.705917, acc: 0.519531] [A loss: 0.821336, acc: 0.281250] 5179: [D loss: 0.704103, acc: 0.503906] [A loss: 0.878120, acc: 0.167969] 5180: [D loss: 0.687416, acc: 0.572266] [A loss: 0.734583, acc: 0.402344] 5181: [D loss: 0.704901, acc: 0.521484] [A loss: 0.849662, acc: 0.222656] 5182: [D loss: 0.694520, acc: 0.552734] [A loss: 0.792110, acc: 0.335938] 5183: [D loss: 0.700821, acc: 0.529297] [A loss: 0.871299, acc: 0.187500] 5184: [D loss: 0.696115, acc: 0.529297] [A loss: 0.776971, acc: 0.351562] 5185: [D loss: 0.704641, acc: 0.509766] [A loss: 0.857919, acc: 0.203125] 5186: [D loss: 0.703853, acc: 0.544922] [A loss: 0.743013, acc: 0.417969] 5187: [D loss: 0.701560, acc: 0.521484] [A loss: 0.999399, acc: 0.062500] 5188: [D loss: 0.690572, acc: 0.558594] [A loss: 0.702959, acc: 0.546875] 5189: [D loss: 0.727757, acc: 0.500000] [A loss: 0.950031, acc: 0.085938] 5190: [D loss: 0.713577, acc: 0.494141] [A loss: 0.687719, acc: 0.542969] 5191: [D loss: 0.716701, acc: 0.505859] [A loss: 0.884725, acc: 0.171875] 5192: [D loss: 0.696772, acc: 0.507812] [A loss: 0.753534, acc: 0.394531] 5193: [D loss: 0.707216, acc: 0.507812] [A loss: 0.825109, acc: 0.246094] 5194: [D loss: 0.694776, acc: 0.537109] [A loss: 0.730536, acc: 0.445312] 5195: [D loss: 0.726492, acc: 0.503906] [A loss: 0.884322, acc: 0.140625] 5196: [D loss: 0.693247, acc: 0.554688] [A loss: 0.739821, acc: 0.449219] 5197: [D loss: 0.730341, acc: 0.501953] [A loss: 0.898626, acc: 0.132812] 5198: [D loss: 0.696649, acc: 0.546875] [A loss: 0.752843, acc: 0.363281] 5199: [D loss: 0.696089, acc: 0.539062] [A loss: 0.958187, acc: 0.097656] 5200: [D loss: 0.704207, acc: 0.517578] [A loss: 0.716939, acc: 0.453125] 5201: [D loss: 0.719603, acc: 0.505859] [A loss: 0.894471, acc: 0.140625] 5202: [D loss: 0.692848, acc: 0.529297] [A loss: 0.806523, acc: 0.265625] 5203: [D loss: 0.692133, acc: 0.511719] [A loss: 0.906856, acc: 0.121094] 5204: [D loss: 0.700184, acc: 0.480469] [A loss: 0.740599, acc: 0.394531] 5205: [D loss: 0.702595, acc: 0.531250] [A loss: 0.856981, acc: 0.195312] 5206: [D loss: 0.686892, acc: 0.550781] [A loss: 0.775960, acc: 0.355469] 5207: [D loss: 0.694619, acc: 0.515625] [A loss: 0.828500, acc: 0.285156] 5208: [D loss: 0.701793, acc: 0.494141] [A loss: 0.756637, acc: 0.363281] 5209: [D loss: 0.698179, acc: 0.531250] [A loss: 0.875679, acc: 0.160156] 5210: [D loss: 0.707576, acc: 0.507812] [A loss: 0.774249, acc: 0.359375] 5211: [D loss: 0.723440, acc: 0.496094] [A loss: 0.993069, acc: 0.070312] 5212: [D loss: 0.706305, acc: 0.519531] [A loss: 0.690964, acc: 0.519531] 5213: [D loss: 0.709219, acc: 0.523438] [A loss: 0.924210, acc: 0.097656] 5214: [D loss: 0.691771, acc: 0.558594] [A loss: 0.742524, acc: 0.406250] 5215: [D loss: 0.703299, acc: 0.529297] [A loss: 0.857057, acc: 0.191406] 5216: [D loss: 0.699702, acc: 0.513672] [A loss: 0.765662, acc: 0.367188] 5217: [D loss: 0.702623, acc: 0.513672] [A loss: 0.876220, acc: 0.171875] 5218: [D loss: 0.708094, acc: 0.515625] [A loss: 0.766899, acc: 0.367188] 5219: [D loss: 0.692284, acc: 0.564453] [A loss: 0.800554, acc: 0.242188] 5220: [D loss: 0.690650, acc: 0.542969] [A loss: 0.818567, acc: 0.253906] 5221: [D loss: 0.697497, acc: 0.556641] [A loss: 0.820104, acc: 0.265625] 5222: [D loss: 0.685528, acc: 0.550781] [A loss: 0.814980, acc: 0.253906] 5223: [D loss: 0.695344, acc: 0.527344] [A loss: 0.850416, acc: 0.214844] 5224: [D loss: 0.702664, acc: 0.513672] [A loss: 0.825606, acc: 0.289062] 5225: [D loss: 0.708045, acc: 0.523438] [A loss: 0.854922, acc: 0.210938] 5226: [D loss: 0.715572, acc: 0.482422] [A loss: 0.800050, acc: 0.289062] 5227: [D loss: 0.708513, acc: 0.517578] [A loss: 0.975941, acc: 0.078125] 5228: [D loss: 0.691798, acc: 0.542969] [A loss: 0.634539, acc: 0.671875] 5229: [D loss: 0.756661, acc: 0.503906] [A loss: 1.080508, acc: 0.039062] 5230: [D loss: 0.709268, acc: 0.511719] [A loss: 0.710080, acc: 0.476562] 5231: [D loss: 0.707262, acc: 0.523438] [A loss: 0.824981, acc: 0.222656] 5232: [D loss: 0.705481, acc: 0.478516] [A loss: 0.736588, acc: 0.441406] 5233: [D loss: 0.719562, acc: 0.505859] [A loss: 0.867537, acc: 0.203125] 5234: [D loss: 0.685756, acc: 0.533203] [A loss: 0.794441, acc: 0.347656] 5235: [D loss: 0.707196, acc: 0.486328] [A loss: 0.863274, acc: 0.183594] 5236: [D loss: 0.713533, acc: 0.462891] [A loss: 0.794045, acc: 0.285156] 5237: [D loss: 0.697978, acc: 0.511719] [A loss: 0.810494, acc: 0.253906] 5238: [D loss: 0.700909, acc: 0.505859] [A loss: 0.852818, acc: 0.203125] 5239: [D loss: 0.691320, acc: 0.541016] [A loss: 0.734584, acc: 0.460938] 5240: [D loss: 0.703354, acc: 0.501953] [A loss: 0.942590, acc: 0.148438] 5241: [D loss: 0.699328, acc: 0.519531] [A loss: 0.675496, acc: 0.558594] 5242: [D loss: 0.714294, acc: 0.525391] [A loss: 0.950386, acc: 0.074219] 5243: [D loss: 0.687053, acc: 0.566406] [A loss: 0.716267, acc: 0.496094] 5244: [D loss: 0.717142, acc: 0.498047] [A loss: 0.831995, acc: 0.222656] 5245: [D loss: 0.698208, acc: 0.539062] [A loss: 0.748261, acc: 0.394531] 5246: [D loss: 0.708820, acc: 0.515625] [A loss: 0.890281, acc: 0.203125] 5247: [D loss: 0.692503, acc: 0.535156] [A loss: 0.706591, acc: 0.472656] 5248: [D loss: 0.701952, acc: 0.529297] [A loss: 0.818164, acc: 0.277344] 5249: [D loss: 0.720658, acc: 0.476562] [A loss: 0.792342, acc: 0.300781] 5250: [D loss: 0.699128, acc: 0.529297] [A loss: 0.754838, acc: 0.351562] 5251: [D loss: 0.690616, acc: 0.546875] [A loss: 0.817326, acc: 0.289062] 5252: [D loss: 0.697016, acc: 0.533203] [A loss: 0.809507, acc: 0.277344] 5253: [D loss: 0.708073, acc: 0.511719] [A loss: 0.848520, acc: 0.230469] 5254: [D loss: 0.715436, acc: 0.521484] [A loss: 0.785814, acc: 0.312500] 5255: [D loss: 0.687767, acc: 0.552734] [A loss: 0.877149, acc: 0.171875] 5256: [D loss: 0.717485, acc: 0.476562] [A loss: 0.825073, acc: 0.269531] 5257: [D loss: 0.713041, acc: 0.488281] [A loss: 0.755213, acc: 0.378906] 5258: [D loss: 0.710084, acc: 0.509766] [A loss: 0.880946, acc: 0.191406] 5259: [D loss: 0.709466, acc: 0.507812] [A loss: 0.736895, acc: 0.414062] 5260: [D loss: 0.709250, acc: 0.546875] [A loss: 0.868710, acc: 0.203125] 5261: [D loss: 0.705427, acc: 0.517578] [A loss: 0.760194, acc: 0.375000] 5262: [D loss: 0.714886, acc: 0.505859] [A loss: 0.808542, acc: 0.253906] 5263: [D loss: 0.695559, acc: 0.525391] [A loss: 0.798230, acc: 0.281250] 5264: [D loss: 0.700814, acc: 0.529297] [A loss: 0.834425, acc: 0.269531] 5265: [D loss: 0.693196, acc: 0.550781] [A loss: 0.747034, acc: 0.378906] 5266: [D loss: 0.699640, acc: 0.521484] [A loss: 0.840030, acc: 0.210938] 5267: [D loss: 0.698901, acc: 0.513672] [A loss: 0.773865, acc: 0.347656] 5268: [D loss: 0.712514, acc: 0.492188] [A loss: 0.905040, acc: 0.167969] 5269: [D loss: 0.695054, acc: 0.546875] [A loss: 0.713636, acc: 0.464844] 5270: [D loss: 0.729361, acc: 0.505859] [A loss: 0.964587, acc: 0.070312] 5271: [D loss: 0.699284, acc: 0.562500] [A loss: 0.729158, acc: 0.429688] 5272: [D loss: 0.716011, acc: 0.519531] [A loss: 0.888316, acc: 0.175781] 5273: [D loss: 0.701528, acc: 0.505859] [A loss: 0.700005, acc: 0.484375] 5274: [D loss: 0.717839, acc: 0.494141] [A loss: 0.863405, acc: 0.191406] 5275: [D loss: 0.691638, acc: 0.527344] [A loss: 0.724561, acc: 0.449219] 5276: [D loss: 0.715128, acc: 0.500000] [A loss: 0.957638, acc: 0.089844] 5277: [D loss: 0.705790, acc: 0.513672] [A loss: 0.768181, acc: 0.347656] 5278: [D loss: 0.699093, acc: 0.515625] [A loss: 0.796883, acc: 0.308594] 5279: [D loss: 0.697374, acc: 0.521484] [A loss: 0.828076, acc: 0.257812] 5280: [D loss: 0.697370, acc: 0.492188] [A loss: 0.794416, acc: 0.332031] 5281: [D loss: 0.699737, acc: 0.511719] [A loss: 0.801760, acc: 0.332031] 5282: [D loss: 0.686282, acc: 0.560547] [A loss: 0.789588, acc: 0.335938] 5283: [D loss: 0.715022, acc: 0.480469] [A loss: 0.890843, acc: 0.160156] 5284: [D loss: 0.701492, acc: 0.541016] [A loss: 0.702502, acc: 0.500000] 5285: [D loss: 0.714822, acc: 0.521484] [A loss: 0.959733, acc: 0.062500] 5286: [D loss: 0.694838, acc: 0.541016] [A loss: 0.669741, acc: 0.593750] 5287: [D loss: 0.724543, acc: 0.492188] [A loss: 0.868036, acc: 0.160156] 5288: [D loss: 0.691426, acc: 0.544922] [A loss: 0.747980, acc: 0.378906] 5289: [D loss: 0.705517, acc: 0.509766] [A loss: 0.880713, acc: 0.167969] 5290: [D loss: 0.692460, acc: 0.564453] [A loss: 0.778961, acc: 0.359375] 5291: [D loss: 0.705324, acc: 0.525391] [A loss: 0.854371, acc: 0.203125] 5292: [D loss: 0.697584, acc: 0.519531] [A loss: 0.778182, acc: 0.332031] 5293: [D loss: 0.716569, acc: 0.513672] [A loss: 0.823440, acc: 0.234375] 5294: [D loss: 0.695239, acc: 0.542969] [A loss: 0.815932, acc: 0.257812] 5295: [D loss: 0.700234, acc: 0.496094] [A loss: 0.809461, acc: 0.308594] 5296: [D loss: 0.702738, acc: 0.525391] [A loss: 0.788419, acc: 0.300781] 5297: [D loss: 0.694249, acc: 0.548828] [A loss: 0.821666, acc: 0.253906] 5298: [D loss: 0.707918, acc: 0.515625] [A loss: 0.762788, acc: 0.378906] 5299: [D loss: 0.700221, acc: 0.523438] [A loss: 0.836287, acc: 0.222656] 5300: [D loss: 0.706319, acc: 0.515625] [A loss: 0.825752, acc: 0.242188] 5301: [D loss: 0.695961, acc: 0.533203] [A loss: 0.789611, acc: 0.320312] 5302: [D loss: 0.695571, acc: 0.533203] [A loss: 0.846469, acc: 0.207031] 5303: [D loss: 0.704056, acc: 0.492188] [A loss: 0.823798, acc: 0.250000] 5304: [D loss: 0.710526, acc: 0.519531] [A loss: 0.894585, acc: 0.160156] 5305: [D loss: 0.689148, acc: 0.562500] [A loss: 0.769491, acc: 0.332031] 5306: [D loss: 0.708942, acc: 0.529297] [A loss: 1.007651, acc: 0.082031] 5307: [D loss: 0.707042, acc: 0.500000] [A loss: 0.723828, acc: 0.476562] 5308: [D loss: 0.708971, acc: 0.529297] [A loss: 0.867167, acc: 0.230469] 5309: [D loss: 0.715913, acc: 0.505859] [A loss: 0.767349, acc: 0.347656] 5310: [D loss: 0.713027, acc: 0.513672] [A loss: 0.897085, acc: 0.144531] 5311: [D loss: 0.705692, acc: 0.515625] [A loss: 0.718278, acc: 0.507812] 5312: [D loss: 0.716135, acc: 0.519531] [A loss: 0.871611, acc: 0.218750] 5313: [D loss: 0.696885, acc: 0.533203] [A loss: 0.718098, acc: 0.496094] 5314: [D loss: 0.705301, acc: 0.535156] [A loss: 0.970483, acc: 0.101562] 5315: [D loss: 0.707406, acc: 0.529297] [A loss: 0.722766, acc: 0.464844] 5316: [D loss: 0.699024, acc: 0.552734] [A loss: 0.858517, acc: 0.230469] 5317: [D loss: 0.697313, acc: 0.513672] [A loss: 0.772312, acc: 0.335938] 5318: [D loss: 0.715622, acc: 0.501953] [A loss: 0.864180, acc: 0.183594] 5319: [D loss: 0.694773, acc: 0.519531] [A loss: 0.756268, acc: 0.375000] 5320: [D loss: 0.706025, acc: 0.519531] [A loss: 0.922433, acc: 0.121094] 5321: [D loss: 0.702672, acc: 0.513672] [A loss: 0.754895, acc: 0.375000] 5322: [D loss: 0.710257, acc: 0.503906] [A loss: 0.911252, acc: 0.132812] 5323: [D loss: 0.708029, acc: 0.501953] [A loss: 0.750488, acc: 0.394531] 5324: [D loss: 0.698637, acc: 0.554688] [A loss: 0.808552, acc: 0.269531] 5325: [D loss: 0.711946, acc: 0.511719] [A loss: 0.871372, acc: 0.203125] 5326: [D loss: 0.690821, acc: 0.554688] [A loss: 0.749869, acc: 0.425781] 5327: [D loss: 0.696468, acc: 0.542969] [A loss: 0.844531, acc: 0.230469] 5328: [D loss: 0.711881, acc: 0.525391] [A loss: 0.820629, acc: 0.238281] 5329: [D loss: 0.684194, acc: 0.546875] [A loss: 0.796309, acc: 0.289062] 5330: [D loss: 0.695563, acc: 0.535156] [A loss: 0.861972, acc: 0.238281] 5331: [D loss: 0.702092, acc: 0.523438] [A loss: 0.819514, acc: 0.273438] 5332: [D loss: 0.687963, acc: 0.550781] [A loss: 0.812931, acc: 0.250000] 5333: [D loss: 0.703197, acc: 0.523438] [A loss: 0.818593, acc: 0.281250] 5334: [D loss: 0.721517, acc: 0.490234] [A loss: 0.878720, acc: 0.187500] 5335: [D loss: 0.707557, acc: 0.486328] [A loss: 0.785481, acc: 0.355469] 5336: [D loss: 0.728568, acc: 0.490234] [A loss: 0.932269, acc: 0.125000] 5337: [D loss: 0.700485, acc: 0.501953] [A loss: 0.702302, acc: 0.492188] 5338: [D loss: 0.727648, acc: 0.515625] [A loss: 0.972475, acc: 0.101562] 5339: [D loss: 0.691644, acc: 0.529297] [A loss: 0.691831, acc: 0.550781] 5340: [D loss: 0.727425, acc: 0.501953] [A loss: 0.883514, acc: 0.191406] 5341: [D loss: 0.691056, acc: 0.521484] [A loss: 0.745561, acc: 0.390625] 5342: [D loss: 0.707851, acc: 0.517578] [A loss: 0.869267, acc: 0.207031] 5343: [D loss: 0.707425, acc: 0.511719] [A loss: 0.793045, acc: 0.304688] 5344: [D loss: 0.697457, acc: 0.560547] [A loss: 0.802088, acc: 0.289062] 5345: [D loss: 0.710329, acc: 0.490234] [A loss: 0.771806, acc: 0.351562] 5346: [D loss: 0.713436, acc: 0.484375] [A loss: 0.882468, acc: 0.156250] 5347: [D loss: 0.709943, acc: 0.505859] [A loss: 0.768439, acc: 0.339844] 5348: [D loss: 0.703364, acc: 0.550781] [A loss: 0.937427, acc: 0.148438] 5349: [D loss: 0.706369, acc: 0.507812] [A loss: 0.746238, acc: 0.414062] 5350: [D loss: 0.712745, acc: 0.486328] [A loss: 0.900518, acc: 0.132812] 5351: [D loss: 0.704584, acc: 0.505859] [A loss: 0.760188, acc: 0.375000] 5352: [D loss: 0.710364, acc: 0.511719] [A loss: 0.910358, acc: 0.156250] 5353: [D loss: 0.699091, acc: 0.501953] [A loss: 0.699831, acc: 0.507812] 5354: [D loss: 0.733482, acc: 0.496094] [A loss: 0.967769, acc: 0.082031] 5355: [D loss: 0.701536, acc: 0.531250] [A loss: 0.708833, acc: 0.492188] 5356: [D loss: 0.703394, acc: 0.537109] [A loss: 0.824353, acc: 0.269531] 5357: [D loss: 0.693742, acc: 0.525391] [A loss: 0.756955, acc: 0.371094] 5358: [D loss: 0.713500, acc: 0.498047] [A loss: 0.858565, acc: 0.187500] 5359: [D loss: 0.700870, acc: 0.527344] [A loss: 0.756179, acc: 0.417969] 5360: [D loss: 0.703415, acc: 0.513672] [A loss: 0.882422, acc: 0.187500] 5361: [D loss: 0.695152, acc: 0.550781] [A loss: 0.755730, acc: 0.375000] 5362: [D loss: 0.703977, acc: 0.511719] [A loss: 0.848321, acc: 0.246094] 5363: [D loss: 0.682422, acc: 0.535156] [A loss: 0.791100, acc: 0.328125] 5364: [D loss: 0.715017, acc: 0.511719] [A loss: 0.853938, acc: 0.191406] 5365: [D loss: 0.699121, acc: 0.500000] [A loss: 0.754315, acc: 0.398438] 5366: [D loss: 0.715979, acc: 0.525391] [A loss: 0.922559, acc: 0.125000] 5367: [D loss: 0.692470, acc: 0.535156] [A loss: 0.693764, acc: 0.507812] 5368: [D loss: 0.696705, acc: 0.566406] [A loss: 0.872009, acc: 0.210938] 5369: [D loss: 0.693327, acc: 0.556641] [A loss: 0.753524, acc: 0.398438] 5370: [D loss: 0.704715, acc: 0.541016] [A loss: 0.882462, acc: 0.160156] 5371: [D loss: 0.712518, acc: 0.478516] [A loss: 0.779496, acc: 0.375000] 5372: [D loss: 0.717856, acc: 0.505859] [A loss: 0.905379, acc: 0.179688] 5373: [D loss: 0.690561, acc: 0.542969] [A loss: 0.717841, acc: 0.468750] 5374: [D loss: 0.731198, acc: 0.488281] [A loss: 0.917128, acc: 0.140625] 5375: [D loss: 0.699779, acc: 0.535156] [A loss: 0.738010, acc: 0.429688] 5376: [D loss: 0.706979, acc: 0.533203] [A loss: 0.821164, acc: 0.246094] 5377: [D loss: 0.701620, acc: 0.521484] [A loss: 0.788427, acc: 0.328125] 5378: [D loss: 0.710390, acc: 0.533203] [A loss: 0.961578, acc: 0.093750] 5379: [D loss: 0.687123, acc: 0.560547] [A loss: 0.722616, acc: 0.480469] 5380: [D loss: 0.713736, acc: 0.533203] [A loss: 0.957404, acc: 0.125000] 5381: [D loss: 0.699947, acc: 0.533203] [A loss: 0.708423, acc: 0.472656] 5382: [D loss: 0.695438, acc: 0.541016] [A loss: 0.830049, acc: 0.257812] 5383: [D loss: 0.695083, acc: 0.554688] [A loss: 0.815084, acc: 0.277344] 5384: [D loss: 0.700479, acc: 0.521484] [A loss: 0.816466, acc: 0.246094] 5385: [D loss: 0.697528, acc: 0.542969] [A loss: 0.836529, acc: 0.277344] 5386: [D loss: 0.693724, acc: 0.521484] [A loss: 0.804072, acc: 0.300781] 5387: [D loss: 0.708946, acc: 0.521484] [A loss: 0.815190, acc: 0.242188] 5388: [D loss: 0.708638, acc: 0.511719] [A loss: 0.890194, acc: 0.199219] 5389: [D loss: 0.689897, acc: 0.539062] [A loss: 0.775587, acc: 0.351562] 5390: [D loss: 0.704775, acc: 0.503906] [A loss: 0.852478, acc: 0.210938] 5391: [D loss: 0.705337, acc: 0.527344] [A loss: 0.721241, acc: 0.460938] 5392: [D loss: 0.699623, acc: 0.523438] [A loss: 0.926390, acc: 0.144531] 5393: [D loss: 0.697990, acc: 0.531250] [A loss: 0.729306, acc: 0.425781] 5394: [D loss: 0.717333, acc: 0.523438] [A loss: 0.931737, acc: 0.113281] 5395: [D loss: 0.688781, acc: 0.550781] [A loss: 0.730129, acc: 0.410156] 5396: [D loss: 0.733703, acc: 0.480469] [A loss: 0.933950, acc: 0.156250] 5397: [D loss: 0.697892, acc: 0.523438] [A loss: 0.734432, acc: 0.437500] 5398: [D loss: 0.713589, acc: 0.515625] [A loss: 0.833650, acc: 0.289062] 5399: [D loss: 0.703329, acc: 0.519531] [A loss: 0.783618, acc: 0.347656] 5400: [D loss: 0.706377, acc: 0.525391] [A loss: 0.906005, acc: 0.171875] 5401: [D loss: 0.682928, acc: 0.550781] [A loss: 0.716942, acc: 0.468750] 5402: [D loss: 0.713515, acc: 0.500000] [A loss: 0.868727, acc: 0.187500] 5403: [D loss: 0.696449, acc: 0.527344] [A loss: 0.776965, acc: 0.351562] 5404: [D loss: 0.733665, acc: 0.507812] [A loss: 0.941026, acc: 0.136719] 5405: [D loss: 0.686811, acc: 0.580078] [A loss: 0.701133, acc: 0.535156] 5406: [D loss: 0.713736, acc: 0.498047] [A loss: 0.886517, acc: 0.167969] 5407: [D loss: 0.695858, acc: 0.529297] [A loss: 0.788922, acc: 0.371094] 5408: [D loss: 0.701470, acc: 0.533203] [A loss: 0.811782, acc: 0.296875] 5409: [D loss: 0.709975, acc: 0.517578] [A loss: 0.836944, acc: 0.250000] 5410: [D loss: 0.693531, acc: 0.513672] [A loss: 0.794843, acc: 0.324219] 5411: [D loss: 0.690735, acc: 0.552734] [A loss: 0.836994, acc: 0.238281] 5412: [D loss: 0.701437, acc: 0.503906] [A loss: 0.847167, acc: 0.230469] 5413: [D loss: 0.696936, acc: 0.541016] [A loss: 0.772701, acc: 0.328125] 5414: [D loss: 0.689544, acc: 0.546875] [A loss: 0.874451, acc: 0.167969] 5415: [D loss: 0.698494, acc: 0.533203] [A loss: 0.826828, acc: 0.257812] 5416: [D loss: 0.691596, acc: 0.539062] [A loss: 0.889726, acc: 0.207031] 5417: [D loss: 0.705475, acc: 0.503906] [A loss: 0.740579, acc: 0.441406] 5418: [D loss: 0.708314, acc: 0.525391] [A loss: 0.944499, acc: 0.121094] 5419: [D loss: 0.692673, acc: 0.527344] [A loss: 0.704262, acc: 0.496094] 5420: [D loss: 0.716265, acc: 0.513672] [A loss: 0.903560, acc: 0.195312] 5421: [D loss: 0.706574, acc: 0.511719] [A loss: 0.700018, acc: 0.496094] 5422: [D loss: 0.718621, acc: 0.515625] [A loss: 0.952855, acc: 0.101562] 5423: [D loss: 0.695273, acc: 0.527344] [A loss: 0.708083, acc: 0.449219] 5424: [D loss: 0.717830, acc: 0.513672] [A loss: 0.834301, acc: 0.222656] 5425: [D loss: 0.684841, acc: 0.570312] [A loss: 0.794832, acc: 0.289062] 5426: [D loss: 0.693634, acc: 0.521484] [A loss: 0.832014, acc: 0.242188] 5427: [D loss: 0.691762, acc: 0.539062] [A loss: 0.815491, acc: 0.285156] 5428: [D loss: 0.699363, acc: 0.541016] [A loss: 0.814403, acc: 0.281250] 5429: [D loss: 0.702436, acc: 0.546875] [A loss: 0.878450, acc: 0.183594] 5430: [D loss: 0.705376, acc: 0.517578] [A loss: 0.777390, acc: 0.367188] 5431: [D loss: 0.704956, acc: 0.562500] [A loss: 0.957357, acc: 0.097656] 5432: [D loss: 0.692883, acc: 0.539062] [A loss: 0.698029, acc: 0.531250] 5433: [D loss: 0.726479, acc: 0.498047] [A loss: 0.982270, acc: 0.097656] 5434: [D loss: 0.691032, acc: 0.550781] [A loss: 0.720969, acc: 0.453125] 5435: [D loss: 0.717400, acc: 0.513672] [A loss: 0.867548, acc: 0.222656] 5436: [D loss: 0.705218, acc: 0.511719] [A loss: 0.799308, acc: 0.320312] 5437: [D loss: 0.704016, acc: 0.527344] [A loss: 0.864674, acc: 0.250000] 5438: [D loss: 0.703759, acc: 0.503906] [A loss: 0.752943, acc: 0.417969] 5439: [D loss: 0.718865, acc: 0.496094] [A loss: 0.845772, acc: 0.246094] 5440: [D loss: 0.706682, acc: 0.505859] [A loss: 0.770104, acc: 0.371094] 5441: [D loss: 0.741498, acc: 0.464844] [A loss: 1.040127, acc: 0.050781] 5442: [D loss: 0.697381, acc: 0.542969] [A loss: 0.698580, acc: 0.496094] 5443: [D loss: 0.726897, acc: 0.505859] [A loss: 0.892848, acc: 0.171875] 5444: [D loss: 0.705600, acc: 0.531250] [A loss: 0.690315, acc: 0.542969] 5445: [D loss: 0.725697, acc: 0.478516] [A loss: 0.885060, acc: 0.183594] 5446: [D loss: 0.702829, acc: 0.500000] [A loss: 0.752793, acc: 0.390625] 5447: [D loss: 0.707133, acc: 0.535156] [A loss: 0.863021, acc: 0.167969] 5448: [D loss: 0.694218, acc: 0.541016] [A loss: 0.772518, acc: 0.390625] 5449: [D loss: 0.698017, acc: 0.541016] [A loss: 0.843633, acc: 0.253906] 5450: [D loss: 0.711037, acc: 0.498047] [A loss: 0.746571, acc: 0.390625] 5451: [D loss: 0.735211, acc: 0.496094] [A loss: 1.033968, acc: 0.066406] 5452: [D loss: 0.707927, acc: 0.521484] [A loss: 0.761871, acc: 0.351562] 5453: [D loss: 0.727451, acc: 0.482422] [A loss: 0.851462, acc: 0.199219] 5454: [D loss: 0.702484, acc: 0.523438] [A loss: 0.816552, acc: 0.269531] 5455: [D loss: 0.703497, acc: 0.509766] [A loss: 0.854558, acc: 0.238281] 5456: [D loss: 0.707480, acc: 0.521484] [A loss: 0.815343, acc: 0.261719] 5457: [D loss: 0.701423, acc: 0.541016] [A loss: 0.849719, acc: 0.210938] 5458: [D loss: 0.703122, acc: 0.523438] [A loss: 0.801894, acc: 0.328125] 5459: [D loss: 0.710156, acc: 0.500000] [A loss: 0.910106, acc: 0.187500] 5460: [D loss: 0.690989, acc: 0.535156] [A loss: 0.804855, acc: 0.285156] 5461: [D loss: 0.707668, acc: 0.523438] [A loss: 0.938963, acc: 0.125000] 5462: [D loss: 0.704674, acc: 0.515625] [A loss: 0.687139, acc: 0.542969] 5463: [D loss: 0.710548, acc: 0.531250] [A loss: 0.943326, acc: 0.101562] 5464: [D loss: 0.698421, acc: 0.527344] [A loss: 0.726217, acc: 0.457031] 5465: [D loss: 0.703248, acc: 0.537109] [A loss: 0.844423, acc: 0.226562] 5466: [D loss: 0.696665, acc: 0.537109] [A loss: 0.849804, acc: 0.222656] 5467: [D loss: 0.699019, acc: 0.539062] [A loss: 0.794775, acc: 0.296875] 5468: [D loss: 0.717554, acc: 0.511719] [A loss: 0.871241, acc: 0.199219] 5469: [D loss: 0.694224, acc: 0.546875] [A loss: 0.798229, acc: 0.285156] 5470: [D loss: 0.718858, acc: 0.482422] [A loss: 0.867332, acc: 0.203125] 5471: [D loss: 0.705746, acc: 0.527344] [A loss: 0.766458, acc: 0.378906] 5472: [D loss: 0.719993, acc: 0.533203] [A loss: 0.856992, acc: 0.195312] 5473: [D loss: 0.687949, acc: 0.523438] [A loss: 0.743852, acc: 0.410156] 5474: [D loss: 0.698936, acc: 0.531250] [A loss: 0.865197, acc: 0.214844] 5475: [D loss: 0.697232, acc: 0.519531] [A loss: 0.815904, acc: 0.261719] 5476: [D loss: 0.695878, acc: 0.533203] [A loss: 0.890119, acc: 0.144531] 5477: [D loss: 0.706872, acc: 0.509766] [A loss: 0.779678, acc: 0.351562] 5478: [D loss: 0.695022, acc: 0.525391] [A loss: 0.859822, acc: 0.230469] 5479: [D loss: 0.693704, acc: 0.558594] [A loss: 0.844979, acc: 0.214844] 5480: [D loss: 0.699221, acc: 0.554688] [A loss: 0.878402, acc: 0.171875] 5481: [D loss: 0.692817, acc: 0.541016] [A loss: 0.794412, acc: 0.312500] 5482: [D loss: 0.700411, acc: 0.509766] [A loss: 0.821864, acc: 0.257812] 5483: [D loss: 0.716621, acc: 0.498047] [A loss: 0.943428, acc: 0.125000] 5484: [D loss: 0.708035, acc: 0.498047] [A loss: 0.725746, acc: 0.460938] 5485: [D loss: 0.731047, acc: 0.511719] [A loss: 1.030538, acc: 0.074219] 5486: [D loss: 0.702707, acc: 0.515625] [A loss: 0.738556, acc: 0.437500] 5487: [D loss: 0.724713, acc: 0.500000] [A loss: 0.857438, acc: 0.230469] 5488: [D loss: 0.699245, acc: 0.505859] [A loss: 0.749026, acc: 0.406250] 5489: [D loss: 0.703743, acc: 0.498047] [A loss: 0.939696, acc: 0.148438] 5490: [D loss: 0.723567, acc: 0.494141] [A loss: 0.739698, acc: 0.433594] 5491: [D loss: 0.703200, acc: 0.529297] [A loss: 0.885224, acc: 0.140625] 5492: [D loss: 0.703057, acc: 0.505859] [A loss: 0.776531, acc: 0.347656] 5493: [D loss: 0.712147, acc: 0.486328] [A loss: 0.867829, acc: 0.222656] 5494: [D loss: 0.702395, acc: 0.511719] [A loss: 0.742859, acc: 0.394531] 5495: [D loss: 0.708355, acc: 0.523438] [A loss: 0.892813, acc: 0.160156] 5496: [D loss: 0.707651, acc: 0.490234] [A loss: 0.708447, acc: 0.488281] 5497: [D loss: 0.729018, acc: 0.494141] [A loss: 1.014341, acc: 0.070312] 5498: [D loss: 0.707118, acc: 0.507812] [A loss: 0.724747, acc: 0.464844] 5499: [D loss: 0.706745, acc: 0.517578] [A loss: 0.809856, acc: 0.300781] 5500: [D loss: 0.700638, acc: 0.544922] [A loss: 0.867692, acc: 0.164062] 5501: [D loss: 0.697396, acc: 0.527344] [A loss: 0.723668, acc: 0.402344] 5502: [D loss: 0.700372, acc: 0.531250] [A loss: 0.936456, acc: 0.117188] 5503: [D loss: 0.698270, acc: 0.501953] [A loss: 0.734774, acc: 0.464844] 5504: [D loss: 0.707193, acc: 0.511719] [A loss: 0.927215, acc: 0.105469] 5505: [D loss: 0.703668, acc: 0.513672] [A loss: 0.738851, acc: 0.421875] 5506: [D loss: 0.713562, acc: 0.509766] [A loss: 0.869932, acc: 0.191406] 5507: [D loss: 0.697495, acc: 0.537109] [A loss: 0.816205, acc: 0.238281] 5508: [D loss: 0.716803, acc: 0.515625] [A loss: 0.846291, acc: 0.246094] 5509: [D loss: 0.702925, acc: 0.517578] [A loss: 0.788328, acc: 0.316406] 5510: [D loss: 0.715863, acc: 0.517578] [A loss: 0.831096, acc: 0.261719] 5511: [D loss: 0.693524, acc: 0.509766] [A loss: 0.794006, acc: 0.320312] 5512: [D loss: 0.705380, acc: 0.507812] [A loss: 0.853567, acc: 0.183594] 5513: [D loss: 0.695436, acc: 0.539062] [A loss: 0.781649, acc: 0.339844] 5514: [D loss: 0.690686, acc: 0.529297] [A loss: 0.788777, acc: 0.343750] 5515: [D loss: 0.722342, acc: 0.474609] [A loss: 0.879818, acc: 0.175781] 5516: [D loss: 0.693026, acc: 0.544922] [A loss: 0.780410, acc: 0.328125] 5517: [D loss: 0.713355, acc: 0.496094] [A loss: 0.942794, acc: 0.089844] 5518: [D loss: 0.705586, acc: 0.490234] [A loss: 0.664563, acc: 0.625000] 5519: [D loss: 0.722752, acc: 0.519531] [A loss: 0.936693, acc: 0.101562] 5520: [D loss: 0.702027, acc: 0.531250] [A loss: 0.733957, acc: 0.441406] 5521: [D loss: 0.717344, acc: 0.509766] [A loss: 0.894407, acc: 0.136719] 5522: [D loss: 0.690019, acc: 0.537109] [A loss: 0.743516, acc: 0.402344] 5523: [D loss: 0.718807, acc: 0.503906] [A loss: 0.950199, acc: 0.093750] 5524: [D loss: 0.697302, acc: 0.546875] [A loss: 0.693673, acc: 0.523438] 5525: [D loss: 0.717023, acc: 0.509766] [A loss: 0.840155, acc: 0.230469] 5526: [D loss: 0.705619, acc: 0.500000] [A loss: 0.730600, acc: 0.433594] 5527: [D loss: 0.716144, acc: 0.498047] [A loss: 0.938979, acc: 0.101562] 5528: [D loss: 0.697765, acc: 0.535156] [A loss: 0.745857, acc: 0.410156] 5529: [D loss: 0.707422, acc: 0.494141] [A loss: 0.866620, acc: 0.187500] 5530: [D loss: 0.707796, acc: 0.500000] [A loss: 0.746881, acc: 0.402344] 5531: [D loss: 0.714653, acc: 0.517578] [A loss: 0.847354, acc: 0.207031] 5532: [D loss: 0.697237, acc: 0.507812] [A loss: 0.783041, acc: 0.308594] 5533: [D loss: 0.703325, acc: 0.511719] [A loss: 0.794381, acc: 0.312500] 5534: [D loss: 0.695710, acc: 0.544922] [A loss: 0.828435, acc: 0.226562] 5535: [D loss: 0.707645, acc: 0.509766] [A loss: 0.787155, acc: 0.281250] 5536: [D loss: 0.722497, acc: 0.484375] [A loss: 0.923392, acc: 0.136719] 5537: [D loss: 0.695796, acc: 0.533203] [A loss: 0.730047, acc: 0.410156] 5538: [D loss: 0.701621, acc: 0.517578] [A loss: 0.854187, acc: 0.191406] 5539: [D loss: 0.698286, acc: 0.535156] [A loss: 0.772085, acc: 0.363281] 5540: [D loss: 0.694263, acc: 0.550781] [A loss: 0.892842, acc: 0.214844] 5541: [D loss: 0.699257, acc: 0.554688] [A loss: 0.742668, acc: 0.378906] 5542: [D loss: 0.696142, acc: 0.570312] [A loss: 0.886996, acc: 0.187500] 5543: [D loss: 0.685256, acc: 0.537109] [A loss: 0.750808, acc: 0.417969] 5544: [D loss: 0.732925, acc: 0.492188] [A loss: 0.881886, acc: 0.164062] 5545: [D loss: 0.705927, acc: 0.503906] [A loss: 0.796869, acc: 0.285156] 5546: [D loss: 0.707045, acc: 0.511719] [A loss: 0.845673, acc: 0.246094] 5547: [D loss: 0.720046, acc: 0.505859] [A loss: 0.806545, acc: 0.296875] 5548: [D loss: 0.704432, acc: 0.505859] [A loss: 0.888211, acc: 0.183594] 5549: [D loss: 0.697491, acc: 0.494141] [A loss: 0.742263, acc: 0.433594] 5550: [D loss: 0.692368, acc: 0.552734] [A loss: 0.889762, acc: 0.179688] 5551: [D loss: 0.692650, acc: 0.535156] [A loss: 0.730506, acc: 0.464844] 5552: [D loss: 0.720567, acc: 0.503906] [A loss: 0.853715, acc: 0.187500] 5553: [D loss: 0.702396, acc: 0.500000] [A loss: 0.788858, acc: 0.308594] 5554: [D loss: 0.689733, acc: 0.529297] [A loss: 0.803384, acc: 0.308594] 5555: [D loss: 0.696611, acc: 0.521484] [A loss: 0.820508, acc: 0.289062] 5556: [D loss: 0.698738, acc: 0.519531] [A loss: 0.951628, acc: 0.109375] 5557: [D loss: 0.700707, acc: 0.503906] [A loss: 0.697609, acc: 0.515625] 5558: [D loss: 0.715406, acc: 0.515625] [A loss: 0.938377, acc: 0.128906] 5559: [D loss: 0.694621, acc: 0.548828] [A loss: 0.708184, acc: 0.511719] 5560: [D loss: 0.705443, acc: 0.507812] [A loss: 0.976142, acc: 0.097656] 5561: [D loss: 0.698133, acc: 0.521484] [A loss: 0.701620, acc: 0.511719] 5562: [D loss: 0.704231, acc: 0.517578] [A loss: 0.803289, acc: 0.265625] 5563: [D loss: 0.717072, acc: 0.492188] [A loss: 0.807627, acc: 0.285156] 5564: [D loss: 0.696834, acc: 0.523438] [A loss: 0.835887, acc: 0.261719] 5565: [D loss: 0.711957, acc: 0.498047] [A loss: 0.816394, acc: 0.250000] 5566: [D loss: 0.704554, acc: 0.509766] [A loss: 0.784519, acc: 0.339844] 5567: [D loss: 0.696883, acc: 0.542969] [A loss: 0.852938, acc: 0.195312] 5568: [D loss: 0.691236, acc: 0.535156] [A loss: 0.772761, acc: 0.363281] 5569: [D loss: 0.719863, acc: 0.482422] [A loss: 0.960790, acc: 0.082031] 5570: [D loss: 0.694710, acc: 0.535156] [A loss: 0.689116, acc: 0.523438] 5571: [D loss: 0.741099, acc: 0.513672] [A loss: 1.022573, acc: 0.039062] 5572: [D loss: 0.696507, acc: 0.535156] [A loss: 0.726791, acc: 0.441406] 5573: [D loss: 0.711630, acc: 0.519531] [A loss: 0.935179, acc: 0.109375] 5574: [D loss: 0.684910, acc: 0.539062] [A loss: 0.736464, acc: 0.421875] 5575: [D loss: 0.715374, acc: 0.511719] [A loss: 0.916564, acc: 0.148438] 5576: [D loss: 0.701748, acc: 0.511719] [A loss: 0.776881, acc: 0.343750] 5577: [D loss: 0.719018, acc: 0.488281] [A loss: 0.871437, acc: 0.183594] 5578: [D loss: 0.694804, acc: 0.542969] [A loss: 0.777008, acc: 0.339844] 5579: [D loss: 0.710618, acc: 0.513672] [A loss: 0.908885, acc: 0.144531] 5580: [D loss: 0.694161, acc: 0.533203] [A loss: 0.717634, acc: 0.457031] 5581: [D loss: 0.709107, acc: 0.529297] [A loss: 0.883400, acc: 0.156250] 5582: [D loss: 0.699389, acc: 0.509766] [A loss: 0.723666, acc: 0.457031] 5583: [D loss: 0.701122, acc: 0.519531] [A loss: 0.903521, acc: 0.152344] 5584: [D loss: 0.691993, acc: 0.566406] [A loss: 0.784928, acc: 0.328125] 5585: [D loss: 0.699018, acc: 0.529297] [A loss: 0.822718, acc: 0.265625] 5586: [D loss: 0.690374, acc: 0.542969] [A loss: 0.811530, acc: 0.234375] 5587: [D loss: 0.702865, acc: 0.519531] [A loss: 0.827900, acc: 0.242188] 5588: [D loss: 0.687818, acc: 0.546875] [A loss: 0.844840, acc: 0.246094] 5589: [D loss: 0.704894, acc: 0.513672] [A loss: 0.750943, acc: 0.406250] 5590: [D loss: 0.712177, acc: 0.529297] [A loss: 0.890357, acc: 0.183594] 5591: [D loss: 0.698979, acc: 0.544922] [A loss: 0.744140, acc: 0.382812] 5592: [D loss: 0.713232, acc: 0.517578] [A loss: 0.921545, acc: 0.125000] 5593: [D loss: 0.701514, acc: 0.515625] [A loss: 0.721081, acc: 0.472656] 5594: [D loss: 0.708072, acc: 0.529297] [A loss: 0.872164, acc: 0.171875] 5595: [D loss: 0.705720, acc: 0.525391] [A loss: 0.764727, acc: 0.363281] 5596: [D loss: 0.734261, acc: 0.501953] [A loss: 1.028258, acc: 0.050781] 5597: [D loss: 0.717609, acc: 0.503906] [A loss: 0.707945, acc: 0.511719] 5598: [D loss: 0.714632, acc: 0.511719] [A loss: 0.866475, acc: 0.187500] 5599: [D loss: 0.710253, acc: 0.501953] [A loss: 0.766365, acc: 0.351562] 5600: [D loss: 0.697821, acc: 0.523438] [A loss: 0.834856, acc: 0.238281] 5601: [D loss: 0.696710, acc: 0.511719] [A loss: 0.781846, acc: 0.308594] 5602: [D loss: 0.711333, acc: 0.525391] [A loss: 0.812748, acc: 0.238281] 5603: [D loss: 0.705063, acc: 0.521484] [A loss: 0.868632, acc: 0.187500] 5604: [D loss: 0.686742, acc: 0.544922] [A loss: 0.831931, acc: 0.214844] 5605: [D loss: 0.707768, acc: 0.509766] [A loss: 0.869826, acc: 0.199219] 5606: [D loss: 0.701419, acc: 0.531250] [A loss: 0.826348, acc: 0.261719] 5607: [D loss: 0.691881, acc: 0.529297] [A loss: 0.798959, acc: 0.285156] 5608: [D loss: 0.693559, acc: 0.548828] [A loss: 0.833229, acc: 0.253906] 5609: [D loss: 0.704428, acc: 0.509766] [A loss: 0.956908, acc: 0.089844] 5610: [D loss: 0.707036, acc: 0.496094] [A loss: 0.712966, acc: 0.480469] 5611: [D loss: 0.723469, acc: 0.505859] [A loss: 0.949913, acc: 0.128906] 5612: [D loss: 0.702064, acc: 0.509766] [A loss: 0.689934, acc: 0.566406] 5613: [D loss: 0.719330, acc: 0.523438] [A loss: 0.889886, acc: 0.167969] 5614: [D loss: 0.694102, acc: 0.505859] [A loss: 0.723041, acc: 0.488281] 5615: [D loss: 0.710413, acc: 0.525391] [A loss: 0.991604, acc: 0.082031] 5616: [D loss: 0.700082, acc: 0.521484] [A loss: 0.701651, acc: 0.500000] 5617: [D loss: 0.710123, acc: 0.517578] [A loss: 0.827452, acc: 0.277344] 5618: [D loss: 0.699900, acc: 0.509766] [A loss: 0.802869, acc: 0.277344] 5619: [D loss: 0.693524, acc: 0.523438] [A loss: 0.827370, acc: 0.257812] 5620: [D loss: 0.697021, acc: 0.523438] [A loss: 0.817923, acc: 0.296875] 5621: [D loss: 0.714252, acc: 0.480469] [A loss: 0.814037, acc: 0.277344] 5622: [D loss: 0.698848, acc: 0.515625] [A loss: 0.794784, acc: 0.324219] 5623: [D loss: 0.695709, acc: 0.550781] [A loss: 0.800004, acc: 0.304688] 5624: [D loss: 0.716909, acc: 0.517578] [A loss: 0.905785, acc: 0.148438] 5625: [D loss: 0.695396, acc: 0.521484] [A loss: 0.727426, acc: 0.464844] 5626: [D loss: 0.703580, acc: 0.531250] [A loss: 0.956793, acc: 0.089844] 5627: [D loss: 0.695056, acc: 0.546875] [A loss: 0.714648, acc: 0.453125] 5628: [D loss: 0.720440, acc: 0.501953] [A loss: 0.900277, acc: 0.140625] 5629: [D loss: 0.702080, acc: 0.498047] [A loss: 0.730384, acc: 0.429688] 5630: [D loss: 0.705778, acc: 0.513672] [A loss: 0.913228, acc: 0.152344] 5631: [D loss: 0.696353, acc: 0.529297] [A loss: 0.746514, acc: 0.386719] 5632: [D loss: 0.706449, acc: 0.515625] [A loss: 0.907823, acc: 0.152344] 5633: [D loss: 0.698585, acc: 0.539062] [A loss: 0.736089, acc: 0.417969] 5634: [D loss: 0.705241, acc: 0.527344] [A loss: 0.871543, acc: 0.226562] 5635: [D loss: 0.698233, acc: 0.527344] [A loss: 0.745299, acc: 0.390625] 5636: [D loss: 0.703892, acc: 0.519531] [A loss: 0.881535, acc: 0.175781] 5637: [D loss: 0.693784, acc: 0.542969] [A loss: 0.766494, acc: 0.371094] 5638: [D loss: 0.703278, acc: 0.527344] [A loss: 0.872589, acc: 0.160156] 5639: [D loss: 0.691315, acc: 0.498047] [A loss: 0.763576, acc: 0.324219] 5640: [D loss: 0.696622, acc: 0.525391] [A loss: 0.880069, acc: 0.175781] 5641: [D loss: 0.688956, acc: 0.544922] [A loss: 0.761909, acc: 0.359375] 5642: [D loss: 0.713028, acc: 0.513672] [A loss: 0.906078, acc: 0.156250] 5643: [D loss: 0.703715, acc: 0.531250] [A loss: 0.804607, acc: 0.269531] 5644: [D loss: 0.696419, acc: 0.544922] [A loss: 0.855859, acc: 0.238281] 5645: [D loss: 0.704517, acc: 0.531250] [A loss: 0.898353, acc: 0.195312] 5646: [D loss: 0.692354, acc: 0.544922] [A loss: 0.705363, acc: 0.496094] 5647: [D loss: 0.716685, acc: 0.496094] [A loss: 0.958721, acc: 0.097656] 5648: [D loss: 0.703850, acc: 0.517578] [A loss: 0.695905, acc: 0.507812] 5649: [D loss: 0.698728, acc: 0.539062] [A loss: 0.931493, acc: 0.128906] 5650: [D loss: 0.706305, acc: 0.501953] [A loss: 0.755711, acc: 0.375000] 5651: [D loss: 0.696194, acc: 0.541016] [A loss: 0.845119, acc: 0.226562] 5652: [D loss: 0.709512, acc: 0.492188] [A loss: 0.797387, acc: 0.300781] 5653: [D loss: 0.713522, acc: 0.488281] [A loss: 0.847337, acc: 0.210938] 5654: [D loss: 0.704802, acc: 0.505859] [A loss: 0.800104, acc: 0.273438] 5655: [D loss: 0.703070, acc: 0.519531] [A loss: 0.868828, acc: 0.164062] 5656: [D loss: 0.690696, acc: 0.541016] [A loss: 0.801595, acc: 0.285156] 5657: [D loss: 0.699420, acc: 0.529297] [A loss: 0.869473, acc: 0.199219] 5658: [D loss: 0.691015, acc: 0.515625] [A loss: 0.705295, acc: 0.472656] 5659: [D loss: 0.717492, acc: 0.505859] [A loss: 0.978561, acc: 0.097656] 5660: [D loss: 0.694705, acc: 0.525391] [A loss: 0.666137, acc: 0.578125] 5661: [D loss: 0.740025, acc: 0.505859] [A loss: 0.904088, acc: 0.113281] 5662: [D loss: 0.714219, acc: 0.501953] [A loss: 0.722296, acc: 0.457031] 5663: [D loss: 0.720747, acc: 0.484375] [A loss: 0.961098, acc: 0.082031] 5664: [D loss: 0.704105, acc: 0.490234] [A loss: 0.689861, acc: 0.558594] 5665: [D loss: 0.723616, acc: 0.515625] [A loss: 0.885843, acc: 0.128906] 5666: [D loss: 0.712999, acc: 0.494141] [A loss: 0.730134, acc: 0.468750] 5667: [D loss: 0.719210, acc: 0.515625] [A loss: 0.985918, acc: 0.070312] 5668: [D loss: 0.715738, acc: 0.472656] [A loss: 0.738107, acc: 0.449219] 5669: [D loss: 0.717883, acc: 0.519531] [A loss: 0.863694, acc: 0.156250] 5670: [D loss: 0.681636, acc: 0.552734] [A loss: 0.781119, acc: 0.289062] 5671: [D loss: 0.705688, acc: 0.531250] [A loss: 0.841030, acc: 0.191406] 5672: [D loss: 0.710039, acc: 0.498047] [A loss: 0.803697, acc: 0.277344] 5673: [D loss: 0.704401, acc: 0.519531] [A loss: 0.808839, acc: 0.265625] 5674: [D loss: 0.706251, acc: 0.529297] [A loss: 0.871421, acc: 0.179688] 5675: [D loss: 0.706070, acc: 0.517578] [A loss: 0.766829, acc: 0.355469] 5676: [D loss: 0.715903, acc: 0.509766] [A loss: 0.899836, acc: 0.136719] 5677: [D loss: 0.689167, acc: 0.546875] [A loss: 0.722092, acc: 0.457031] 5678: [D loss: 0.701434, acc: 0.537109] [A loss: 0.847710, acc: 0.183594] 5679: [D loss: 0.693516, acc: 0.523438] [A loss: 0.775125, acc: 0.339844] 5680: [D loss: 0.703430, acc: 0.527344] [A loss: 0.977638, acc: 0.070312] 5681: [D loss: 0.694788, acc: 0.539062] [A loss: 0.714697, acc: 0.507812] 5682: [D loss: 0.727249, acc: 0.496094] [A loss: 0.894557, acc: 0.144531] 5683: [D loss: 0.690859, acc: 0.546875] [A loss: 0.711212, acc: 0.484375] 5684: [D loss: 0.725497, acc: 0.521484] [A loss: 0.908055, acc: 0.140625] 5685: [D loss: 0.696448, acc: 0.527344] [A loss: 0.741570, acc: 0.394531] 5686: [D loss: 0.729863, acc: 0.492188] [A loss: 1.039302, acc: 0.062500] 5687: [D loss: 0.706886, acc: 0.529297] [A loss: 0.716929, acc: 0.460938] 5688: [D loss: 0.699963, acc: 0.517578] [A loss: 0.780984, acc: 0.320312] 5689: [D loss: 0.703834, acc: 0.527344] [A loss: 0.753859, acc: 0.382812] 5690: [D loss: 0.715879, acc: 0.517578] [A loss: 0.857768, acc: 0.214844] 5691: [D loss: 0.709201, acc: 0.490234] [A loss: 0.765314, acc: 0.375000] 5692: [D loss: 0.713599, acc: 0.498047] [A loss: 0.859896, acc: 0.183594] 5693: [D loss: 0.716848, acc: 0.470703] [A loss: 0.803862, acc: 0.265625] 5694: [D loss: 0.698837, acc: 0.527344] [A loss: 0.783211, acc: 0.335938] 5695: [D loss: 0.689890, acc: 0.542969] [A loss: 0.913248, acc: 0.121094] 5696: [D loss: 0.690272, acc: 0.548828] [A loss: 0.777858, acc: 0.320312] 5697: [D loss: 0.701542, acc: 0.558594] [A loss: 0.842861, acc: 0.226562] 5698: [D loss: 0.702786, acc: 0.517578] [A loss: 0.816564, acc: 0.277344] 5699: [D loss: 0.709598, acc: 0.486328] [A loss: 0.809186, acc: 0.265625] 5700: [D loss: 0.712597, acc: 0.513672] [A loss: 1.018374, acc: 0.078125] 5701: [D loss: 0.689543, acc: 0.554688] [A loss: 0.682697, acc: 0.550781] 5702: [D loss: 0.735131, acc: 0.503906] [A loss: 0.934847, acc: 0.117188] 5703: [D loss: 0.695797, acc: 0.519531] [A loss: 0.675047, acc: 0.585938] 5704: [D loss: 0.738328, acc: 0.509766] [A loss: 0.984076, acc: 0.101562] 5705: [D loss: 0.699154, acc: 0.529297] [A loss: 0.733098, acc: 0.449219] 5706: [D loss: 0.715474, acc: 0.525391] [A loss: 0.864507, acc: 0.207031] 5707: [D loss: 0.700404, acc: 0.515625] [A loss: 0.796031, acc: 0.296875] 5708: [D loss: 0.718485, acc: 0.500000] [A loss: 0.844262, acc: 0.222656] 5709: [D loss: 0.699903, acc: 0.509766] [A loss: 0.761580, acc: 0.359375] 5710: [D loss: 0.697970, acc: 0.535156] [A loss: 0.929939, acc: 0.109375] 5711: [D loss: 0.693958, acc: 0.550781] [A loss: 0.750390, acc: 0.375000] 5712: [D loss: 0.716801, acc: 0.505859] [A loss: 0.951628, acc: 0.109375] 5713: [D loss: 0.702662, acc: 0.507812] [A loss: 0.727055, acc: 0.453125] 5714: [D loss: 0.707789, acc: 0.486328] [A loss: 0.835068, acc: 0.199219] 5715: [D loss: 0.696731, acc: 0.533203] [A loss: 0.763537, acc: 0.359375] 5716: [D loss: 0.707958, acc: 0.535156] [A loss: 0.856721, acc: 0.179688] 5717: [D loss: 0.691038, acc: 0.568359] [A loss: 0.799435, acc: 0.328125] 5718: [D loss: 0.697720, acc: 0.527344] [A loss: 0.802794, acc: 0.281250] 5719: [D loss: 0.704379, acc: 0.513672] [A loss: 0.839098, acc: 0.230469] 5720: [D loss: 0.704802, acc: 0.515625] [A loss: 0.840101, acc: 0.222656] 5721: [D loss: 0.695119, acc: 0.544922] [A loss: 0.805813, acc: 0.285156] 5722: [D loss: 0.701836, acc: 0.527344] [A loss: 0.889117, acc: 0.148438] 5723: [D loss: 0.700885, acc: 0.513672] [A loss: 0.709190, acc: 0.523438] 5724: [D loss: 0.731305, acc: 0.513672] [A loss: 1.026648, acc: 0.046875] 5725: [D loss: 0.701083, acc: 0.531250] [A loss: 0.725404, acc: 0.437500] 5726: [D loss: 0.735165, acc: 0.486328] [A loss: 0.877703, acc: 0.148438] 5727: [D loss: 0.696484, acc: 0.537109] [A loss: 0.801912, acc: 0.289062] 5728: [D loss: 0.701581, acc: 0.509766] [A loss: 0.828978, acc: 0.242188] 5729: [D loss: 0.707417, acc: 0.511719] [A loss: 0.808316, acc: 0.273438] 5730: [D loss: 0.715936, acc: 0.523438] [A loss: 0.937893, acc: 0.101562] 5731: [D loss: 0.694848, acc: 0.531250] [A loss: 0.738431, acc: 0.433594] 5732: [D loss: 0.727571, acc: 0.486328] [A loss: 0.898377, acc: 0.140625] 5733: [D loss: 0.700132, acc: 0.521484] [A loss: 0.783614, acc: 0.308594] 5734: [D loss: 0.699815, acc: 0.546875] [A loss: 0.822246, acc: 0.292969] 5735: [D loss: 0.697092, acc: 0.527344] [A loss: 0.799730, acc: 0.320312] 5736: [D loss: 0.689959, acc: 0.554688] [A loss: 0.869780, acc: 0.195312] 5737: [D loss: 0.724365, acc: 0.462891] [A loss: 0.807366, acc: 0.265625] 5738: [D loss: 0.716154, acc: 0.503906] [A loss: 0.881476, acc: 0.156250] 5739: [D loss: 0.701854, acc: 0.494141] [A loss: 0.774102, acc: 0.347656] 5740: [D loss: 0.702911, acc: 0.548828] [A loss: 0.991497, acc: 0.089844] 5741: [D loss: 0.694328, acc: 0.548828] [A loss: 0.704228, acc: 0.480469] 5742: [D loss: 0.712110, acc: 0.513672] [A loss: 0.988371, acc: 0.058594] 5743: [D loss: 0.716847, acc: 0.482422] [A loss: 0.664013, acc: 0.574219] 5744: [D loss: 0.733406, acc: 0.474609] [A loss: 0.989694, acc: 0.046875] 5745: [D loss: 0.695512, acc: 0.533203] [A loss: 0.683030, acc: 0.550781] 5746: [D loss: 0.730613, acc: 0.500000] [A loss: 0.905240, acc: 0.132812] 5747: [D loss: 0.697034, acc: 0.519531] [A loss: 0.755140, acc: 0.382812] 5748: [D loss: 0.712571, acc: 0.529297] [A loss: 0.906621, acc: 0.144531] 5749: [D loss: 0.697118, acc: 0.519531] [A loss: 0.758367, acc: 0.355469] 5750: [D loss: 0.696758, acc: 0.523438] [A loss: 0.801090, acc: 0.277344] 5751: [D loss: 0.702118, acc: 0.507812] [A loss: 0.777703, acc: 0.371094] 5752: [D loss: 0.716361, acc: 0.501953] [A loss: 0.861014, acc: 0.203125] 5753: [D loss: 0.692763, acc: 0.535156] [A loss: 0.798429, acc: 0.289062] 5754: [D loss: 0.719171, acc: 0.488281] [A loss: 0.838819, acc: 0.214844] 5755: [D loss: 0.691796, acc: 0.548828] [A loss: 0.803591, acc: 0.289062] 5756: [D loss: 0.714476, acc: 0.478516] [A loss: 0.837420, acc: 0.226562] 5757: [D loss: 0.702532, acc: 0.496094] [A loss: 0.810609, acc: 0.253906] 5758: [D loss: 0.705674, acc: 0.523438] [A loss: 0.852288, acc: 0.203125] 5759: [D loss: 0.706048, acc: 0.519531] [A loss: 0.826007, acc: 0.230469] 5760: [D loss: 0.695859, acc: 0.550781] [A loss: 0.858530, acc: 0.175781] 5761: [D loss: 0.709038, acc: 0.509766] [A loss: 0.820645, acc: 0.265625] 5762: [D loss: 0.693496, acc: 0.537109] [A loss: 0.833584, acc: 0.253906] 5763: [D loss: 0.698383, acc: 0.505859] [A loss: 0.797787, acc: 0.332031] 5764: [D loss: 0.690347, acc: 0.544922] [A loss: 0.862002, acc: 0.160156] 5765: [D loss: 0.702131, acc: 0.500000] [A loss: 0.780350, acc: 0.316406] 5766: [D loss: 0.699181, acc: 0.521484] [A loss: 0.937975, acc: 0.117188] 5767: [D loss: 0.695120, acc: 0.535156] [A loss: 0.702718, acc: 0.484375] 5768: [D loss: 0.721334, acc: 0.525391] [A loss: 1.059852, acc: 0.027344] 5769: [D loss: 0.699497, acc: 0.513672] [A loss: 0.693061, acc: 0.531250] 5770: [D loss: 0.716105, acc: 0.505859] [A loss: 0.900514, acc: 0.136719] 5771: [D loss: 0.704306, acc: 0.484375] [A loss: 0.773574, acc: 0.363281] 5772: [D loss: 0.706492, acc: 0.525391] [A loss: 0.992678, acc: 0.054688] 5773: [D loss: 0.682551, acc: 0.546875] [A loss: 0.700021, acc: 0.500000] 5774: [D loss: 0.733018, acc: 0.505859] [A loss: 0.983073, acc: 0.078125] 5775: [D loss: 0.699719, acc: 0.521484] [A loss: 0.701905, acc: 0.511719] 5776: [D loss: 0.715378, acc: 0.505859] [A loss: 0.909414, acc: 0.113281] 5777: [D loss: 0.696354, acc: 0.535156] [A loss: 0.738063, acc: 0.402344] 5778: [D loss: 0.710838, acc: 0.533203] [A loss: 0.875125, acc: 0.199219] 5779: [D loss: 0.698648, acc: 0.533203] [A loss: 0.714546, acc: 0.457031] 5780: [D loss: 0.722977, acc: 0.505859] [A loss: 0.917870, acc: 0.156250] 5781: [D loss: 0.703631, acc: 0.525391] [A loss: 0.740590, acc: 0.386719] 5782: [D loss: 0.701627, acc: 0.513672] [A loss: 0.848432, acc: 0.203125] 5783: [D loss: 0.694220, acc: 0.531250] [A loss: 0.720976, acc: 0.445312] 5784: [D loss: 0.716550, acc: 0.501953] [A loss: 0.911213, acc: 0.152344] 5785: [D loss: 0.696502, acc: 0.525391] [A loss: 0.767152, acc: 0.363281] 5786: [D loss: 0.706593, acc: 0.498047] [A loss: 0.840121, acc: 0.214844] 5787: [D loss: 0.700113, acc: 0.509766] [A loss: 0.847348, acc: 0.207031] 5788: [D loss: 0.698320, acc: 0.533203] [A loss: 0.849506, acc: 0.195312] 5789: [D loss: 0.697661, acc: 0.521484] [A loss: 0.794841, acc: 0.300781] 5790: [D loss: 0.705832, acc: 0.505859] [A loss: 0.873571, acc: 0.164062] 5791: [D loss: 0.702757, acc: 0.503906] [A loss: 0.785207, acc: 0.320312] 5792: [D loss: 0.706676, acc: 0.523438] [A loss: 0.863358, acc: 0.183594] 5793: [D loss: 0.700770, acc: 0.511719] [A loss: 0.773184, acc: 0.378906] 5794: [D loss: 0.714558, acc: 0.509766] [A loss: 0.876139, acc: 0.203125] 5795: [D loss: 0.701211, acc: 0.509766] [A loss: 0.779095, acc: 0.363281] 5796: [D loss: 0.709412, acc: 0.498047] [A loss: 0.994908, acc: 0.093750] 5797: [D loss: 0.707296, acc: 0.490234] [A loss: 0.716422, acc: 0.468750] 5798: [D loss: 0.702414, acc: 0.519531] [A loss: 0.957898, acc: 0.093750] 5799: [D loss: 0.701703, acc: 0.517578] [A loss: 0.642614, acc: 0.656250] 5800: [D loss: 0.722638, acc: 0.513672] [A loss: 0.967915, acc: 0.109375] 5801: [D loss: 0.700267, acc: 0.500000] [A loss: 0.728655, acc: 0.480469] 5802: [D loss: 0.718329, acc: 0.523438] [A loss: 0.851883, acc: 0.207031] 5803: [D loss: 0.683942, acc: 0.542969] [A loss: 0.743521, acc: 0.378906] 5804: [D loss: 0.710122, acc: 0.513672] [A loss: 0.883195, acc: 0.167969] 5805: [D loss: 0.692968, acc: 0.542969] [A loss: 0.763151, acc: 0.371094] 5806: [D loss: 0.720159, acc: 0.492188] [A loss: 0.892379, acc: 0.160156] 5807: [D loss: 0.687198, acc: 0.548828] [A loss: 0.733890, acc: 0.480469] 5808: [D loss: 0.717628, acc: 0.500000] [A loss: 0.932740, acc: 0.144531] 5809: [D loss: 0.693928, acc: 0.529297] [A loss: 0.791984, acc: 0.316406] 5810: [D loss: 0.706499, acc: 0.517578] [A loss: 0.872825, acc: 0.144531] 5811: [D loss: 0.705668, acc: 0.509766] [A loss: 0.841502, acc: 0.250000] 5812: [D loss: 0.716238, acc: 0.498047] [A loss: 0.780303, acc: 0.367188] 5813: [D loss: 0.689226, acc: 0.548828] [A loss: 0.861121, acc: 0.203125] 5814: [D loss: 0.695400, acc: 0.544922] [A loss: 0.824158, acc: 0.250000] 5815: [D loss: 0.698017, acc: 0.535156] [A loss: 0.799779, acc: 0.292969] 5816: [D loss: 0.718216, acc: 0.498047] [A loss: 1.007349, acc: 0.078125] 5817: [D loss: 0.693164, acc: 0.544922] [A loss: 0.620951, acc: 0.703125] 5818: [D loss: 0.723953, acc: 0.501953] [A loss: 0.948477, acc: 0.125000] 5819: [D loss: 0.718696, acc: 0.488281] [A loss: 0.793449, acc: 0.292969] 5820: [D loss: 0.703839, acc: 0.492188] [A loss: 0.852552, acc: 0.187500] 5821: [D loss: 0.700704, acc: 0.539062] [A loss: 0.815292, acc: 0.265625] 5822: [D loss: 0.700768, acc: 0.511719] [A loss: 0.843409, acc: 0.265625] 5823: [D loss: 0.710624, acc: 0.501953] [A loss: 0.789259, acc: 0.328125] 5824: [D loss: 0.700556, acc: 0.513672] [A loss: 0.793112, acc: 0.324219] 5825: [D loss: 0.700415, acc: 0.531250] [A loss: 0.850087, acc: 0.218750] 5826: [D loss: 0.698131, acc: 0.533203] [A loss: 0.783420, acc: 0.300781] 5827: [D loss: 0.691558, acc: 0.544922] [A loss: 0.855143, acc: 0.203125] 5828: [D loss: 0.704587, acc: 0.501953] [A loss: 0.801992, acc: 0.304688] 5829: [D loss: 0.716814, acc: 0.517578] [A loss: 0.974109, acc: 0.085938] 5830: [D loss: 0.704092, acc: 0.509766] [A loss: 0.681940, acc: 0.578125] 5831: [D loss: 0.745108, acc: 0.505859] [A loss: 0.989256, acc: 0.070312] 5832: [D loss: 0.699979, acc: 0.519531] [A loss: 0.707653, acc: 0.480469] 5833: [D loss: 0.719970, acc: 0.488281] [A loss: 0.938029, acc: 0.113281] 5834: [D loss: 0.702017, acc: 0.525391] [A loss: 0.688739, acc: 0.566406] 5835: [D loss: 0.712106, acc: 0.521484] [A loss: 0.944936, acc: 0.152344] 5836: [D loss: 0.713593, acc: 0.494141] [A loss: 0.763468, acc: 0.378906] 5837: [D loss: 0.708884, acc: 0.503906] [A loss: 0.848021, acc: 0.191406] 5838: [D loss: 0.700962, acc: 0.519531] [A loss: 0.755219, acc: 0.398438] 5839: [D loss: 0.711922, acc: 0.503906] [A loss: 0.896829, acc: 0.179688] 5840: [D loss: 0.701872, acc: 0.511719] [A loss: 0.789274, acc: 0.320312] 5841: [D loss: 0.721352, acc: 0.488281] [A loss: 0.809920, acc: 0.273438] 5842: [D loss: 0.721563, acc: 0.507812] [A loss: 0.906446, acc: 0.101562] 5843: [D loss: 0.701949, acc: 0.519531] [A loss: 0.729861, acc: 0.425781] 5844: [D loss: 0.701254, acc: 0.544922] [A loss: 0.840499, acc: 0.214844] 5845: [D loss: 0.688555, acc: 0.541016] [A loss: 0.749273, acc: 0.363281] 5846: [D loss: 0.684059, acc: 0.574219] [A loss: 0.811390, acc: 0.265625] 5847: [D loss: 0.716407, acc: 0.498047] [A loss: 0.844435, acc: 0.156250] 5848: [D loss: 0.699977, acc: 0.527344] [A loss: 0.776572, acc: 0.300781] 5849: [D loss: 0.696856, acc: 0.521484] [A loss: 0.837642, acc: 0.234375] 5850: [D loss: 0.699676, acc: 0.542969] [A loss: 0.897920, acc: 0.156250] 5851: [D loss: 0.698056, acc: 0.531250] [A loss: 0.740229, acc: 0.390625] 5852: [D loss: 0.727639, acc: 0.500000] [A loss: 0.935099, acc: 0.121094] 5853: [D loss: 0.692766, acc: 0.578125] [A loss: 0.721296, acc: 0.457031] 5854: [D loss: 0.731822, acc: 0.492188] [A loss: 0.973761, acc: 0.089844] 5855: [D loss: 0.695013, acc: 0.525391] [A loss: 0.726930, acc: 0.449219] 5856: [D loss: 0.721314, acc: 0.511719] [A loss: 0.915658, acc: 0.121094] 5857: [D loss: 0.691091, acc: 0.554688] [A loss: 0.746723, acc: 0.406250] 5858: [D loss: 0.710713, acc: 0.501953] [A loss: 0.876312, acc: 0.156250] 5859: [D loss: 0.686858, acc: 0.539062] [A loss: 0.726617, acc: 0.453125] 5860: [D loss: 0.699522, acc: 0.527344] [A loss: 0.951344, acc: 0.113281] 5861: [D loss: 0.705625, acc: 0.496094] [A loss: 0.731119, acc: 0.429688] 5862: [D loss: 0.721025, acc: 0.519531] [A loss: 0.982937, acc: 0.070312] 5863: [D loss: 0.705602, acc: 0.521484] [A loss: 0.688225, acc: 0.539062] 5864: [D loss: 0.718598, acc: 0.511719] [A loss: 0.943894, acc: 0.093750] 5865: [D loss: 0.704063, acc: 0.500000] [A loss: 0.728670, acc: 0.406250] 5866: [D loss: 0.700926, acc: 0.535156] [A loss: 0.890748, acc: 0.148438] 5867: [D loss: 0.697155, acc: 0.513672] [A loss: 0.748893, acc: 0.417969] 5868: [D loss: 0.712353, acc: 0.501953] [A loss: 0.854528, acc: 0.199219] 5869: [D loss: 0.703675, acc: 0.501953] [A loss: 0.778167, acc: 0.351562] 5870: [D loss: 0.717768, acc: 0.496094] [A loss: 0.880734, acc: 0.183594] 5871: [D loss: 0.701891, acc: 0.484375] [A loss: 0.741369, acc: 0.390625] 5872: [D loss: 0.710588, acc: 0.484375] [A loss: 0.899710, acc: 0.109375] 5873: [D loss: 0.711378, acc: 0.503906] [A loss: 0.846244, acc: 0.230469] 5874: [D loss: 0.709930, acc: 0.462891] [A loss: 0.863193, acc: 0.183594] 5875: [D loss: 0.695286, acc: 0.542969] [A loss: 0.791014, acc: 0.265625] 5876: [D loss: 0.704439, acc: 0.521484] [A loss: 0.941581, acc: 0.128906] 5877: [D loss: 0.705776, acc: 0.507812] [A loss: 0.716029, acc: 0.449219] 5878: [D loss: 0.708975, acc: 0.537109] [A loss: 0.922252, acc: 0.125000] 5879: [D loss: 0.699841, acc: 0.525391] [A loss: 0.679970, acc: 0.550781] 5880: [D loss: 0.697747, acc: 0.541016] [A loss: 0.880462, acc: 0.156250] 5881: [D loss: 0.702581, acc: 0.507812] [A loss: 0.772075, acc: 0.347656] 5882: [D loss: 0.707365, acc: 0.505859] [A loss: 0.898277, acc: 0.148438] 5883: [D loss: 0.696044, acc: 0.525391] [A loss: 0.802434, acc: 0.289062] 5884: [D loss: 0.702272, acc: 0.535156] [A loss: 0.883224, acc: 0.210938] 5885: [D loss: 0.695230, acc: 0.542969] [A loss: 0.764007, acc: 0.367188] 5886: [D loss: 0.700695, acc: 0.539062] [A loss: 0.840838, acc: 0.214844] 5887: [D loss: 0.701720, acc: 0.519531] [A loss: 0.771782, acc: 0.375000] 5888: [D loss: 0.708043, acc: 0.531250] [A loss: 0.859516, acc: 0.191406] 5889: [D loss: 0.700900, acc: 0.515625] [A loss: 0.824697, acc: 0.257812] 5890: [D loss: 0.709150, acc: 0.490234] [A loss: 0.766989, acc: 0.359375] 5891: [D loss: 0.704254, acc: 0.535156] [A loss: 0.923943, acc: 0.117188] 5892: [D loss: 0.697547, acc: 0.498047] [A loss: 0.685704, acc: 0.550781] 5893: [D loss: 0.717843, acc: 0.490234] [A loss: 0.983281, acc: 0.078125] 5894: [D loss: 0.707698, acc: 0.511719] [A loss: 0.691926, acc: 0.511719] 5895: [D loss: 0.706497, acc: 0.503906] [A loss: 0.925539, acc: 0.093750] 5896: [D loss: 0.688147, acc: 0.542969] [A loss: 0.722628, acc: 0.480469] 5897: [D loss: 0.714319, acc: 0.503906] [A loss: 0.853459, acc: 0.226562] 5898: [D loss: 0.721810, acc: 0.484375] [A loss: 0.907483, acc: 0.156250] 5899: [D loss: 0.709401, acc: 0.501953] [A loss: 0.688207, acc: 0.558594] 5900: [D loss: 0.712973, acc: 0.537109] [A loss: 0.927891, acc: 0.082031] 5901: [D loss: 0.695745, acc: 0.519531] [A loss: 0.737092, acc: 0.421875] 5902: [D loss: 0.720186, acc: 0.503906] [A loss: 0.867776, acc: 0.203125] 5903: [D loss: 0.714764, acc: 0.486328] [A loss: 0.754321, acc: 0.382812] 5904: [D loss: 0.723446, acc: 0.480469] [A loss: 0.922629, acc: 0.132812] 5905: [D loss: 0.703163, acc: 0.513672] [A loss: 0.697010, acc: 0.500000] 5906: [D loss: 0.725013, acc: 0.494141] [A loss: 0.949322, acc: 0.085938] 5907: [D loss: 0.697206, acc: 0.519531] [A loss: 0.718736, acc: 0.492188] 5908: [D loss: 0.712297, acc: 0.501953] [A loss: 0.855664, acc: 0.183594] 5909: [D loss: 0.706697, acc: 0.517578] [A loss: 0.736667, acc: 0.410156] 5910: [D loss: 0.699302, acc: 0.531250] [A loss: 0.833573, acc: 0.218750] 5911: [D loss: 0.704632, acc: 0.521484] [A loss: 0.821490, acc: 0.253906] 5912: [D loss: 0.686975, acc: 0.546875] [A loss: 0.824353, acc: 0.261719] 5913: [D loss: 0.711425, acc: 0.503906] [A loss: 0.859518, acc: 0.242188] 5914: [D loss: 0.692923, acc: 0.558594] [A loss: 0.782223, acc: 0.316406] 5915: [D loss: 0.707491, acc: 0.521484] [A loss: 0.836476, acc: 0.234375] 5916: [D loss: 0.709367, acc: 0.498047] [A loss: 0.791936, acc: 0.316406] 5917: [D loss: 0.706741, acc: 0.496094] [A loss: 0.900826, acc: 0.144531] 5918: [D loss: 0.706604, acc: 0.517578] [A loss: 0.729170, acc: 0.472656] 5919: [D loss: 0.727508, acc: 0.480469] [A loss: 1.001577, acc: 0.082031] 5920: [D loss: 0.697730, acc: 0.513672] [A loss: 0.700303, acc: 0.496094] 5921: [D loss: 0.715805, acc: 0.529297] [A loss: 0.879812, acc: 0.152344] 5922: [D loss: 0.702654, acc: 0.525391] [A loss: 0.816131, acc: 0.269531] 5923: [D loss: 0.704469, acc: 0.509766] [A loss: 0.850008, acc: 0.187500] 5924: [D loss: 0.707327, acc: 0.503906] [A loss: 0.740275, acc: 0.425781] 5925: [D loss: 0.701303, acc: 0.523438] [A loss: 0.944233, acc: 0.152344] 5926: [D loss: 0.716782, acc: 0.498047] [A loss: 0.730640, acc: 0.445312] 5927: [D loss: 0.723329, acc: 0.488281] [A loss: 0.864776, acc: 0.164062] 5928: [D loss: 0.697846, acc: 0.521484] [A loss: 0.773981, acc: 0.347656] 5929: [D loss: 0.693412, acc: 0.525391] [A loss: 0.865847, acc: 0.167969] 5930: [D loss: 0.706655, acc: 0.525391] [A loss: 0.758157, acc: 0.394531] 5931: [D loss: 0.711205, acc: 0.523438] [A loss: 0.862723, acc: 0.171875] 5932: [D loss: 0.707933, acc: 0.539062] [A loss: 0.761013, acc: 0.367188] 5933: [D loss: 0.704949, acc: 0.527344] [A loss: 0.917342, acc: 0.125000] 5934: [D loss: 0.696378, acc: 0.513672] [A loss: 0.751301, acc: 0.363281] 5935: [D loss: 0.726420, acc: 0.525391] [A loss: 0.945723, acc: 0.117188] 5936: [D loss: 0.690255, acc: 0.550781] [A loss: 0.713089, acc: 0.492188] 5937: [D loss: 0.709682, acc: 0.548828] [A loss: 0.910089, acc: 0.113281] 5938: [D loss: 0.693694, acc: 0.519531] [A loss: 0.736729, acc: 0.410156] 5939: [D loss: 0.708146, acc: 0.511719] [A loss: 0.968993, acc: 0.074219] 5940: [D loss: 0.704558, acc: 0.509766] [A loss: 0.677840, acc: 0.566406] 5941: [D loss: 0.712887, acc: 0.509766] [A loss: 0.863996, acc: 0.167969] 5942: [D loss: 0.702081, acc: 0.513672] [A loss: 0.720699, acc: 0.445312] 5943: [D loss: 0.706976, acc: 0.503906] [A loss: 0.824246, acc: 0.261719] 5944: [D loss: 0.697214, acc: 0.525391] [A loss: 0.730431, acc: 0.398438] 5945: [D loss: 0.707049, acc: 0.515625] [A loss: 0.903241, acc: 0.121094] 5946: [D loss: 0.703164, acc: 0.525391] [A loss: 0.736355, acc: 0.402344] 5947: [D loss: 0.716400, acc: 0.484375] [A loss: 0.858238, acc: 0.179688] 5948: [D loss: 0.708695, acc: 0.505859] [A loss: 0.759902, acc: 0.390625] 5949: [D loss: 0.712428, acc: 0.509766] [A loss: 0.872247, acc: 0.203125] 5950: [D loss: 0.696623, acc: 0.523438] [A loss: 0.747749, acc: 0.382812] 5951: [D loss: 0.714535, acc: 0.515625] [A loss: 0.850919, acc: 0.214844] 5952: [D loss: 0.700816, acc: 0.529297] [A loss: 0.829062, acc: 0.277344] 5953: [D loss: 0.700081, acc: 0.503906] [A loss: 0.824127, acc: 0.269531] 5954: [D loss: 0.699963, acc: 0.533203] [A loss: 0.857513, acc: 0.179688] 5955: [D loss: 0.701208, acc: 0.500000] [A loss: 0.744787, acc: 0.378906] 5956: [D loss: 0.714850, acc: 0.519531] [A loss: 0.945830, acc: 0.105469] 5957: [D loss: 0.689651, acc: 0.560547] [A loss: 0.721423, acc: 0.464844] 5958: [D loss: 0.712634, acc: 0.500000] [A loss: 0.900454, acc: 0.175781] 5959: [D loss: 0.698741, acc: 0.513672] [A loss: 0.691906, acc: 0.546875] 5960: [D loss: 0.707314, acc: 0.515625] [A loss: 0.964687, acc: 0.078125] 5961: [D loss: 0.698031, acc: 0.496094] [A loss: 0.682240, acc: 0.554688] 5962: [D loss: 0.709793, acc: 0.507812] [A loss: 0.843514, acc: 0.218750] 5963: [D loss: 0.697984, acc: 0.521484] [A loss: 0.753500, acc: 0.429688] 5964: [D loss: 0.699039, acc: 0.539062] [A loss: 0.855497, acc: 0.238281] 5965: [D loss: 0.695669, acc: 0.537109] [A loss: 0.849142, acc: 0.230469] 5966: [D loss: 0.696697, acc: 0.527344] [A loss: 0.767316, acc: 0.335938] 5967: [D loss: 0.700433, acc: 0.533203] [A loss: 0.870571, acc: 0.222656] 5968: [D loss: 0.682843, acc: 0.548828] [A loss: 0.726670, acc: 0.468750] 5969: [D loss: 0.710532, acc: 0.521484] [A loss: 0.969857, acc: 0.113281] 5970: [D loss: 0.694114, acc: 0.546875] [A loss: 0.677063, acc: 0.578125] 5971: [D loss: 0.707445, acc: 0.527344] [A loss: 0.894789, acc: 0.195312] 5972: [D loss: 0.691616, acc: 0.519531] [A loss: 0.734005, acc: 0.406250] 5973: [D loss: 0.717415, acc: 0.503906] [A loss: 0.874233, acc: 0.160156] 5974: [D loss: 0.706485, acc: 0.509766] [A loss: 0.785160, acc: 0.304688] 5975: [D loss: 0.711196, acc: 0.500000] [A loss: 0.838418, acc: 0.222656] 5976: [D loss: 0.707583, acc: 0.500000] [A loss: 0.738161, acc: 0.437500] 5977: [D loss: 0.714478, acc: 0.529297] [A loss: 0.907559, acc: 0.164062] 5978: [D loss: 0.696065, acc: 0.509766] [A loss: 0.750747, acc: 0.382812] 5979: [D loss: 0.715582, acc: 0.521484] [A loss: 0.969023, acc: 0.085938] 5980: [D loss: 0.711842, acc: 0.482422] [A loss: 0.696632, acc: 0.492188] 5981: [D loss: 0.709241, acc: 0.521484] [A loss: 0.828688, acc: 0.253906] 5982: [D loss: 0.707195, acc: 0.494141] [A loss: 0.799963, acc: 0.269531] 5983: [D loss: 0.690202, acc: 0.539062] [A loss: 0.839222, acc: 0.238281] 5984: [D loss: 0.713058, acc: 0.511719] [A loss: 0.831282, acc: 0.195312] 5985: [D loss: 0.717098, acc: 0.486328] [A loss: 0.801840, acc: 0.277344] 5986: [D loss: 0.709134, acc: 0.501953] [A loss: 0.897889, acc: 0.152344] 5987: [D loss: 0.701992, acc: 0.507812] [A loss: 0.744183, acc: 0.394531] 5988: [D loss: 0.709905, acc: 0.503906] [A loss: 0.967499, acc: 0.101562] 5989: [D loss: 0.697945, acc: 0.517578] [A loss: 0.737447, acc: 0.398438] 5990: [D loss: 0.705641, acc: 0.494141] [A loss: 0.932398, acc: 0.113281] 5991: [D loss: 0.706107, acc: 0.496094] [A loss: 0.719081, acc: 0.425781] 5992: [D loss: 0.694301, acc: 0.546875] [A loss: 0.841999, acc: 0.246094] 5993: [D loss: 0.685719, acc: 0.564453] [A loss: 0.750532, acc: 0.414062] 5994: [D loss: 0.699432, acc: 0.531250] [A loss: 0.882206, acc: 0.140625] 5995: [D loss: 0.697371, acc: 0.519531] [A loss: 0.743089, acc: 0.402344] 5996: [D loss: 0.706599, acc: 0.513672] [A loss: 0.862196, acc: 0.187500] 5997: [D loss: 0.696889, acc: 0.519531] [A loss: 0.767757, acc: 0.359375] 5998: [D loss: 0.699024, acc: 0.542969] [A loss: 0.970074, acc: 0.085938] 5999: [D loss: 0.699910, acc: 0.556641] [A loss: 0.696021, acc: 0.542969] 6000: [D loss: 0.725377, acc: 0.478516] [A loss: 0.878770, acc: 0.191406] 6001: [D loss: 0.700612, acc: 0.525391] [A loss: 0.735696, acc: 0.449219] 6002: [D loss: 0.719443, acc: 0.474609] [A loss: 0.959057, acc: 0.117188] 6003: [D loss: 0.696138, acc: 0.525391] [A loss: 0.726080, acc: 0.468750] 6004: [D loss: 0.702860, acc: 0.515625] [A loss: 0.903116, acc: 0.167969] 6005: [D loss: 0.707560, acc: 0.501953] [A loss: 0.795130, acc: 0.300781] 6006: [D loss: 0.702043, acc: 0.537109] [A loss: 0.901567, acc: 0.156250] 6007: [D loss: 0.708649, acc: 0.498047] [A loss: 0.744368, acc: 0.425781] 6008: [D loss: 0.711879, acc: 0.505859] [A loss: 0.869205, acc: 0.203125] 6009: [D loss: 0.695014, acc: 0.529297] [A loss: 0.784105, acc: 0.320312] 6010: [D loss: 0.707747, acc: 0.519531] [A loss: 0.853481, acc: 0.167969] 6011: [D loss: 0.703483, acc: 0.525391] [A loss: 0.783819, acc: 0.332031] 6012: [D loss: 0.697029, acc: 0.544922] [A loss: 0.880625, acc: 0.164062] 6013: [D loss: 0.701862, acc: 0.482422] [A loss: 0.770590, acc: 0.347656] 6014: [D loss: 0.699701, acc: 0.544922] [A loss: 0.858141, acc: 0.187500] 6015: [D loss: 0.705554, acc: 0.515625] [A loss: 0.857373, acc: 0.222656] 6016: [D loss: 0.704600, acc: 0.509766] [A loss: 0.781924, acc: 0.308594] 6017: [D loss: 0.688295, acc: 0.546875] [A loss: 0.906456, acc: 0.109375] 6018: [D loss: 0.688816, acc: 0.550781] [A loss: 0.790094, acc: 0.277344] 6019: [D loss: 0.691224, acc: 0.523438] [A loss: 0.902902, acc: 0.164062] 6020: [D loss: 0.704424, acc: 0.531250] [A loss: 0.756859, acc: 0.375000] 6021: [D loss: 0.717744, acc: 0.513672] [A loss: 0.948566, acc: 0.082031] 6022: [D loss: 0.695677, acc: 0.521484] [A loss: 0.700438, acc: 0.476562] 6023: [D loss: 0.722376, acc: 0.523438] [A loss: 0.935262, acc: 0.125000] 6024: [D loss: 0.708794, acc: 0.484375] [A loss: 0.694619, acc: 0.531250] 6025: [D loss: 0.717725, acc: 0.488281] [A loss: 0.963893, acc: 0.070312] 6026: [D loss: 0.702003, acc: 0.521484] [A loss: 0.687593, acc: 0.519531] 6027: [D loss: 0.728142, acc: 0.511719] [A loss: 0.837048, acc: 0.257812] 6028: [D loss: 0.696581, acc: 0.500000] [A loss: 0.757748, acc: 0.375000] 6029: [D loss: 0.730235, acc: 0.513672] [A loss: 0.948964, acc: 0.140625] 6030: [D loss: 0.694583, acc: 0.517578] [A loss: 0.760329, acc: 0.375000] 6031: [D loss: 0.704797, acc: 0.517578] [A loss: 0.875015, acc: 0.230469] 6032: [D loss: 0.692837, acc: 0.513672] [A loss: 0.764835, acc: 0.394531] 6033: [D loss: 0.707667, acc: 0.509766] [A loss: 0.901842, acc: 0.160156] 6034: [D loss: 0.703493, acc: 0.517578] [A loss: 0.708272, acc: 0.492188] 6035: [D loss: 0.718090, acc: 0.507812] [A loss: 0.906535, acc: 0.160156] 6036: [D loss: 0.700097, acc: 0.535156] [A loss: 0.772247, acc: 0.363281] 6037: [D loss: 0.698834, acc: 0.515625] [A loss: 0.816712, acc: 0.234375] 6038: [D loss: 0.696053, acc: 0.521484] [A loss: 0.807464, acc: 0.269531] 6039: [D loss: 0.705397, acc: 0.511719] [A loss: 0.894345, acc: 0.203125] 6040: [D loss: 0.715361, acc: 0.509766] [A loss: 0.761447, acc: 0.359375] 6041: [D loss: 0.695541, acc: 0.541016] [A loss: 0.886868, acc: 0.171875] 6042: [D loss: 0.686967, acc: 0.519531] [A loss: 0.760336, acc: 0.390625] 6043: [D loss: 0.709129, acc: 0.511719] [A loss: 0.884243, acc: 0.171875] 6044: [D loss: 0.688002, acc: 0.519531] [A loss: 0.797726, acc: 0.308594] 6045: [D loss: 0.707731, acc: 0.521484] [A loss: 0.888039, acc: 0.171875] 6046: [D loss: 0.690529, acc: 0.568359] [A loss: 0.830432, acc: 0.285156] 6047: [D loss: 0.695292, acc: 0.531250] [A loss: 0.773273, acc: 0.335938] 6048: [D loss: 0.702012, acc: 0.523438] [A loss: 0.891801, acc: 0.175781] 6049: [D loss: 0.700312, acc: 0.509766] [A loss: 0.800418, acc: 0.312500] 6050: [D loss: 0.706265, acc: 0.521484] [A loss: 0.878811, acc: 0.167969] 6051: [D loss: 0.706620, acc: 0.505859] [A loss: 0.807443, acc: 0.316406] 6052: [D loss: 0.699612, acc: 0.521484] [A loss: 0.826242, acc: 0.296875] 6053: [D loss: 0.710174, acc: 0.496094] [A loss: 0.864563, acc: 0.203125] 6054: [D loss: 0.695034, acc: 0.533203] [A loss: 0.864402, acc: 0.230469] 6055: [D loss: 0.699975, acc: 0.531250] [A loss: 0.823333, acc: 0.273438] 6056: [D loss: 0.695224, acc: 0.513672] [A loss: 0.814223, acc: 0.285156] 6057: [D loss: 0.698255, acc: 0.509766] [A loss: 0.888140, acc: 0.175781] 6058: [D loss: 0.702621, acc: 0.492188] [A loss: 0.776168, acc: 0.324219] 6059: [D loss: 0.723291, acc: 0.501953] [A loss: 0.966824, acc: 0.097656] 6060: [D loss: 0.709660, acc: 0.511719] [A loss: 0.739336, acc: 0.441406] 6061: [D loss: 0.715790, acc: 0.521484] [A loss: 0.992851, acc: 0.089844] 6062: [D loss: 0.711228, acc: 0.480469] [A loss: 0.658598, acc: 0.593750] 6063: [D loss: 0.743922, acc: 0.511719] [A loss: 1.026273, acc: 0.050781] 6064: [D loss: 0.717720, acc: 0.509766] [A loss: 0.762824, acc: 0.367188] 6065: [D loss: 0.721083, acc: 0.511719] [A loss: 0.917149, acc: 0.105469] 6066: [D loss: 0.720236, acc: 0.468750] [A loss: 0.759616, acc: 0.367188] 6067: [D loss: 0.711310, acc: 0.507812] [A loss: 0.840443, acc: 0.207031] 6068: [D loss: 0.705767, acc: 0.503906] [A loss: 0.807119, acc: 0.308594] 6069: [D loss: 0.705884, acc: 0.503906] [A loss: 0.829725, acc: 0.207031] 6070: [D loss: 0.700717, acc: 0.535156] [A loss: 0.821163, acc: 0.246094] 6071: [D loss: 0.694319, acc: 0.537109] [A loss: 0.835917, acc: 0.203125] 6072: [D loss: 0.692248, acc: 0.544922] [A loss: 0.846329, acc: 0.214844] 6073: [D loss: 0.696247, acc: 0.525391] [A loss: 0.796242, acc: 0.304688] 6074: [D loss: 0.702628, acc: 0.531250] [A loss: 0.889516, acc: 0.164062] 6075: [D loss: 0.686296, acc: 0.535156] [A loss: 0.794612, acc: 0.308594] 6076: [D loss: 0.698234, acc: 0.527344] [A loss: 0.878558, acc: 0.187500] 6077: [D loss: 0.707651, acc: 0.496094] [A loss: 0.736499, acc: 0.429688] 6078: [D loss: 0.718699, acc: 0.507812] [A loss: 0.908045, acc: 0.140625] 6079: [D loss: 0.692500, acc: 0.544922] [A loss: 0.722842, acc: 0.417969] 6080: [D loss: 0.714406, acc: 0.515625] [A loss: 0.988361, acc: 0.093750] 6081: [D loss: 0.691690, acc: 0.544922] [A loss: 0.736301, acc: 0.410156] 6082: [D loss: 0.730287, acc: 0.460938] [A loss: 0.820036, acc: 0.242188] 6083: [D loss: 0.685380, acc: 0.552734] [A loss: 0.834154, acc: 0.210938] 6084: [D loss: 0.701166, acc: 0.525391] [A loss: 0.843748, acc: 0.230469] 6085: [D loss: 0.688630, acc: 0.570312] [A loss: 0.766099, acc: 0.390625] 6086: [D loss: 0.693784, acc: 0.550781] [A loss: 0.909412, acc: 0.117188] 6087: [D loss: 0.694616, acc: 0.542969] [A loss: 0.748807, acc: 0.425781] 6088: [D loss: 0.697621, acc: 0.550781] [A loss: 0.877654, acc: 0.203125] 6089: [D loss: 0.698358, acc: 0.546875] [A loss: 0.745264, acc: 0.398438] 6090: [D loss: 0.720295, acc: 0.482422] [A loss: 0.921503, acc: 0.132812] 6091: [D loss: 0.700283, acc: 0.527344] [A loss: 0.734430, acc: 0.425781] 6092: [D loss: 0.716030, acc: 0.507812] [A loss: 0.906067, acc: 0.179688] 6093: [D loss: 0.690884, acc: 0.535156] [A loss: 0.705182, acc: 0.484375] 6094: [D loss: 0.706524, acc: 0.511719] [A loss: 0.873712, acc: 0.183594] 6095: [D loss: 0.702399, acc: 0.523438] [A loss: 0.759534, acc: 0.382812] 6096: [D loss: 0.677124, acc: 0.539062] [A loss: 0.818761, acc: 0.273438] 6097: [D loss: 0.693762, acc: 0.529297] [A loss: 0.810776, acc: 0.250000] 6098: [D loss: 0.693857, acc: 0.539062] [A loss: 0.870666, acc: 0.195312] 6099: [D loss: 0.698357, acc: 0.525391] [A loss: 0.723582, acc: 0.433594] 6100: [D loss: 0.703992, acc: 0.544922] [A loss: 0.977967, acc: 0.113281] 6101: [D loss: 0.701256, acc: 0.515625] [A loss: 0.730497, acc: 0.441406] 6102: [D loss: 0.706128, acc: 0.546875] [A loss: 0.876064, acc: 0.167969] 6103: [D loss: 0.696724, acc: 0.525391] [A loss: 0.697067, acc: 0.500000] 6104: [D loss: 0.716183, acc: 0.488281] [A loss: 0.948001, acc: 0.125000] 6105: [D loss: 0.698462, acc: 0.529297] [A loss: 0.702677, acc: 0.511719] 6106: [D loss: 0.719084, acc: 0.517578] [A loss: 0.849156, acc: 0.253906] 6107: [D loss: 0.710562, acc: 0.507812] [A loss: 0.778013, acc: 0.335938] 6108: [D loss: 0.704580, acc: 0.529297] [A loss: 0.872136, acc: 0.203125] 6109: [D loss: 0.705433, acc: 0.509766] [A loss: 0.774210, acc: 0.312500] 6110: [D loss: 0.711187, acc: 0.515625] [A loss: 0.915264, acc: 0.148438] 6111: [D loss: 0.692753, acc: 0.542969] [A loss: 0.721593, acc: 0.464844] 6112: [D loss: 0.721884, acc: 0.470703] [A loss: 0.885869, acc: 0.152344] 6113: [D loss: 0.699400, acc: 0.513672] [A loss: 0.771217, acc: 0.339844] 6114: [D loss: 0.705522, acc: 0.515625] [A loss: 0.872563, acc: 0.160156] 6115: [D loss: 0.702588, acc: 0.500000] [A loss: 0.787305, acc: 0.320312] 6116: [D loss: 0.717598, acc: 0.511719] [A loss: 0.984156, acc: 0.085938] 6117: [D loss: 0.699909, acc: 0.521484] [A loss: 0.679941, acc: 0.539062] 6118: [D loss: 0.714011, acc: 0.533203] [A loss: 0.895792, acc: 0.128906] 6119: [D loss: 0.711541, acc: 0.490234] [A loss: 0.731868, acc: 0.429688] 6120: [D loss: 0.704779, acc: 0.523438] [A loss: 0.855516, acc: 0.199219] 6121: [D loss: 0.698136, acc: 0.503906] [A loss: 0.821124, acc: 0.281250] 6122: [D loss: 0.699520, acc: 0.552734] [A loss: 0.834725, acc: 0.226562] 6123: [D loss: 0.692305, acc: 0.558594] [A loss: 0.744924, acc: 0.414062] 6124: [D loss: 0.706761, acc: 0.529297] [A loss: 0.877100, acc: 0.214844] 6125: [D loss: 0.705634, acc: 0.511719] [A loss: 0.822825, acc: 0.238281] 6126: [D loss: 0.701111, acc: 0.515625] [A loss: 0.814194, acc: 0.300781] 6127: [D loss: 0.707655, acc: 0.500000] [A loss: 0.871224, acc: 0.175781] 6128: [D loss: 0.699948, acc: 0.517578] [A loss: 0.776893, acc: 0.339844] 6129: [D loss: 0.706765, acc: 0.519531] [A loss: 0.882729, acc: 0.191406] 6130: [D loss: 0.695902, acc: 0.525391] [A loss: 0.774388, acc: 0.332031] 6131: [D loss: 0.709914, acc: 0.509766] [A loss: 0.973916, acc: 0.058594] 6132: [D loss: 0.688250, acc: 0.546875] [A loss: 0.714615, acc: 0.492188] 6133: [D loss: 0.722900, acc: 0.492188] [A loss: 0.983123, acc: 0.117188] 6134: [D loss: 0.712644, acc: 0.501953] [A loss: 0.677469, acc: 0.531250] 6135: [D loss: 0.729836, acc: 0.498047] [A loss: 0.965726, acc: 0.105469] 6136: [D loss: 0.699060, acc: 0.539062] [A loss: 0.698563, acc: 0.488281] 6137: [D loss: 0.735029, acc: 0.496094] [A loss: 0.920556, acc: 0.148438] 6138: [D loss: 0.705373, acc: 0.476562] [A loss: 0.757725, acc: 0.386719] 6139: [D loss: 0.702200, acc: 0.529297] [A loss: 0.853551, acc: 0.191406] 6140: [D loss: 0.692352, acc: 0.531250] [A loss: 0.793322, acc: 0.316406] 6141: [D loss: 0.691030, acc: 0.546875] [A loss: 0.903659, acc: 0.132812] 6142: [D loss: 0.679841, acc: 0.580078] [A loss: 0.721577, acc: 0.453125] 6143: [D loss: 0.717471, acc: 0.511719] [A loss: 0.999161, acc: 0.074219] 6144: [D loss: 0.687562, acc: 0.533203] [A loss: 0.712408, acc: 0.457031] 6145: [D loss: 0.724436, acc: 0.529297] [A loss: 0.889495, acc: 0.148438] 6146: [D loss: 0.714732, acc: 0.482422] [A loss: 0.750886, acc: 0.394531] 6147: [D loss: 0.708439, acc: 0.517578] [A loss: 0.803456, acc: 0.308594] 6148: [D loss: 0.704180, acc: 0.505859] [A loss: 0.773494, acc: 0.367188] 6149: [D loss: 0.704557, acc: 0.513672] [A loss: 0.832962, acc: 0.222656] 6150: [D loss: 0.710235, acc: 0.486328] [A loss: 0.849679, acc: 0.226562] 6151: [D loss: 0.686087, acc: 0.535156] [A loss: 0.813129, acc: 0.246094] 6152: [D loss: 0.711534, acc: 0.494141] [A loss: 0.852967, acc: 0.210938] 6153: [D loss: 0.697266, acc: 0.550781] [A loss: 0.750524, acc: 0.421875] 6154: [D loss: 0.711456, acc: 0.505859] [A loss: 0.892777, acc: 0.183594] 6155: [D loss: 0.705876, acc: 0.533203] [A loss: 0.719430, acc: 0.437500] 6156: [D loss: 0.729256, acc: 0.500000] [A loss: 1.005168, acc: 0.078125] 6157: [D loss: 0.702641, acc: 0.541016] [A loss: 0.703287, acc: 0.449219] 6158: [D loss: 0.729077, acc: 0.486328] [A loss: 0.872114, acc: 0.207031] 6159: [D loss: 0.679644, acc: 0.595703] [A loss: 0.747785, acc: 0.394531] 6160: [D loss: 0.699309, acc: 0.529297] [A loss: 0.868224, acc: 0.167969] 6161: [D loss: 0.690521, acc: 0.582031] [A loss: 0.788749, acc: 0.316406] 6162: [D loss: 0.704298, acc: 0.541016] [A loss: 0.872520, acc: 0.179688] 6163: [D loss: 0.701560, acc: 0.511719] [A loss: 0.764881, acc: 0.375000] 6164: [D loss: 0.704483, acc: 0.541016] [A loss: 0.880839, acc: 0.195312] 6165: [D loss: 0.699323, acc: 0.521484] [A loss: 0.785061, acc: 0.382812] 6166: [D loss: 0.727898, acc: 0.472656] [A loss: 0.893706, acc: 0.167969] 6167: [D loss: 0.701111, acc: 0.525391] [A loss: 0.819210, acc: 0.261719] 6168: [D loss: 0.694667, acc: 0.539062] [A loss: 0.780230, acc: 0.339844] 6169: [D loss: 0.710768, acc: 0.517578] [A loss: 0.925639, acc: 0.144531] 6170: [D loss: 0.708718, acc: 0.507812] [A loss: 0.689665, acc: 0.500000] 6171: [D loss: 0.715987, acc: 0.511719] [A loss: 0.892821, acc: 0.175781] 6172: [D loss: 0.693895, acc: 0.548828] [A loss: 0.762353, acc: 0.390625] 6173: [D loss: 0.714835, acc: 0.513672] [A loss: 0.878945, acc: 0.195312] 6174: [D loss: 0.705320, acc: 0.484375] [A loss: 0.769792, acc: 0.335938] 6175: [D loss: 0.714432, acc: 0.484375] [A loss: 0.871964, acc: 0.187500] 6176: [D loss: 0.692676, acc: 0.515625] [A loss: 0.743761, acc: 0.410156] 6177: [D loss: 0.689433, acc: 0.552734] [A loss: 0.863237, acc: 0.195312] 6178: [D loss: 0.695161, acc: 0.517578] [A loss: 0.754728, acc: 0.371094] 6179: [D loss: 0.712252, acc: 0.515625] [A loss: 0.917186, acc: 0.140625] 6180: [D loss: 0.706951, acc: 0.517578] [A loss: 0.708152, acc: 0.507812] 6181: [D loss: 0.720433, acc: 0.509766] [A loss: 0.961644, acc: 0.097656] 6182: [D loss: 0.690451, acc: 0.537109] [A loss: 0.671313, acc: 0.570312] 6183: [D loss: 0.725984, acc: 0.519531] [A loss: 0.982335, acc: 0.085938] 6184: [D loss: 0.700834, acc: 0.517578] [A loss: 0.678757, acc: 0.582031] 6185: [D loss: 0.734524, acc: 0.509766] [A loss: 0.861522, acc: 0.164062] 6186: [D loss: 0.701075, acc: 0.527344] [A loss: 0.779288, acc: 0.343750] 6187: [D loss: 0.712726, acc: 0.488281] [A loss: 0.883241, acc: 0.160156] 6188: [D loss: 0.694550, acc: 0.533203] [A loss: 0.744018, acc: 0.398438] 6189: [D loss: 0.710006, acc: 0.513672] [A loss: 0.856191, acc: 0.207031] 6190: [D loss: 0.705454, acc: 0.496094] [A loss: 0.805916, acc: 0.312500] 6191: [D loss: 0.717447, acc: 0.500000] [A loss: 0.850120, acc: 0.238281] 6192: [D loss: 0.701580, acc: 0.535156] [A loss: 0.748891, acc: 0.414062] 6193: [D loss: 0.718629, acc: 0.501953] [A loss: 0.920840, acc: 0.160156] 6194: [D loss: 0.708991, acc: 0.490234] [A loss: 0.729783, acc: 0.414062] 6195: [D loss: 0.707354, acc: 0.539062] [A loss: 0.925632, acc: 0.121094] 6196: [D loss: 0.705670, acc: 0.511719] [A loss: 0.766574, acc: 0.343750] 6197: [D loss: 0.700177, acc: 0.523438] [A loss: 0.872677, acc: 0.156250] 6198: [D loss: 0.705255, acc: 0.511719] [A loss: 0.789492, acc: 0.328125] 6199: [D loss: 0.708429, acc: 0.517578] [A loss: 0.909559, acc: 0.144531] 6200: [D loss: 0.695826, acc: 0.533203] [A loss: 0.782745, acc: 0.359375] 6201: [D loss: 0.700268, acc: 0.519531] [A loss: 0.897820, acc: 0.187500] 6202: [D loss: 0.700237, acc: 0.527344] [A loss: 0.792834, acc: 0.316406] 6203: [D loss: 0.728497, acc: 0.482422] [A loss: 0.878663, acc: 0.175781] 6204: [D loss: 0.709876, acc: 0.515625] [A loss: 0.787456, acc: 0.285156] 6205: [D loss: 0.706191, acc: 0.515625] [A loss: 0.850316, acc: 0.199219] 6206: [D loss: 0.700374, acc: 0.537109] [A loss: 0.760592, acc: 0.378906] 6207: [D loss: 0.709109, acc: 0.517578] [A loss: 0.935362, acc: 0.117188] 6208: [D loss: 0.693936, acc: 0.541016] [A loss: 0.707390, acc: 0.507812] 6209: [D loss: 0.709852, acc: 0.533203] [A loss: 0.929258, acc: 0.128906] 6210: [D loss: 0.708363, acc: 0.509766] [A loss: 0.699541, acc: 0.523438] 6211: [D loss: 0.737345, acc: 0.496094] [A loss: 0.999016, acc: 0.066406] 6212: [D loss: 0.719080, acc: 0.513672] [A loss: 0.655808, acc: 0.621094] 6213: [D loss: 0.726261, acc: 0.498047] [A loss: 0.832495, acc: 0.238281] 6214: [D loss: 0.696857, acc: 0.531250] [A loss: 0.724852, acc: 0.445312] 6215: [D loss: 0.718581, acc: 0.503906] [A loss: 0.877039, acc: 0.171875] 6216: [D loss: 0.693682, acc: 0.556641] [A loss: 0.766086, acc: 0.339844] 6217: [D loss: 0.704311, acc: 0.533203] [A loss: 0.834849, acc: 0.218750] 6218: [D loss: 0.709135, acc: 0.521484] [A loss: 0.824641, acc: 0.269531] 6219: [D loss: 0.693704, acc: 0.531250] [A loss: 0.864955, acc: 0.230469] 6220: [D loss: 0.706165, acc: 0.509766] [A loss: 0.890432, acc: 0.187500] 6221: [D loss: 0.697115, acc: 0.513672] [A loss: 0.756279, acc: 0.386719] 6222: [D loss: 0.707370, acc: 0.527344] [A loss: 0.883939, acc: 0.175781] 6223: [D loss: 0.697585, acc: 0.529297] [A loss: 0.798531, acc: 0.312500] 6224: [D loss: 0.716732, acc: 0.496094] [A loss: 0.880579, acc: 0.171875] 6225: [D loss: 0.691770, acc: 0.537109] [A loss: 0.712306, acc: 0.449219] 6226: [D loss: 0.745556, acc: 0.466797] [A loss: 0.990685, acc: 0.101562] 6227: [D loss: 0.706178, acc: 0.517578] [A loss: 0.680995, acc: 0.570312] 6228: [D loss: 0.710349, acc: 0.541016] [A loss: 0.878833, acc: 0.199219] 6229: [D loss: 0.703708, acc: 0.521484] [A loss: 0.789018, acc: 0.316406] 6230: [D loss: 0.701671, acc: 0.517578] [A loss: 0.769251, acc: 0.375000] 6231: [D loss: 0.704834, acc: 0.535156] [A loss: 0.813991, acc: 0.316406] 6232: [D loss: 0.696536, acc: 0.531250] [A loss: 0.850456, acc: 0.191406] 6233: [D loss: 0.703538, acc: 0.503906] [A loss: 0.821284, acc: 0.253906] 6234: [D loss: 0.708702, acc: 0.521484] [A loss: 0.855262, acc: 0.222656] 6235: [D loss: 0.704157, acc: 0.519531] [A loss: 0.808602, acc: 0.304688] 6236: [D loss: 0.700485, acc: 0.521484] [A loss: 0.858167, acc: 0.238281] 6237: [D loss: 0.691335, acc: 0.548828] [A loss: 0.801971, acc: 0.316406] 6238: [D loss: 0.720342, acc: 0.492188] [A loss: 0.886865, acc: 0.156250] 6239: [D loss: 0.688841, acc: 0.513672] [A loss: 0.745684, acc: 0.382812] 6240: [D loss: 0.712292, acc: 0.525391] [A loss: 0.945033, acc: 0.085938] 6241: [D loss: 0.704237, acc: 0.500000] [A loss: 0.670566, acc: 0.566406] 6242: [D loss: 0.763931, acc: 0.488281] [A loss: 1.045249, acc: 0.050781] 6243: [D loss: 0.704220, acc: 0.511719] [A loss: 0.743085, acc: 0.390625] 6244: [D loss: 0.728060, acc: 0.527344] [A loss: 0.931298, acc: 0.121094] 6245: [D loss: 0.703380, acc: 0.519531] [A loss: 0.692355, acc: 0.515625] 6246: [D loss: 0.713986, acc: 0.513672] [A loss: 0.844433, acc: 0.210938] 6247: [D loss: 0.703819, acc: 0.501953] [A loss: 0.760289, acc: 0.406250] 6248: [D loss: 0.694806, acc: 0.519531] [A loss: 0.887639, acc: 0.167969] 6249: [D loss: 0.713180, acc: 0.501953] [A loss: 0.764828, acc: 0.335938] 6250: [D loss: 0.708514, acc: 0.544922] [A loss: 0.877985, acc: 0.203125] 6251: [D loss: 0.708626, acc: 0.488281] [A loss: 0.813474, acc: 0.257812] 6252: [D loss: 0.708352, acc: 0.509766] [A loss: 0.867881, acc: 0.156250] 6253: [D loss: 0.687003, acc: 0.550781] [A loss: 0.768327, acc: 0.386719] 6254: [D loss: 0.711703, acc: 0.529297] [A loss: 0.842320, acc: 0.238281] 6255: [D loss: 0.697390, acc: 0.503906] [A loss: 0.745904, acc: 0.371094] 6256: [D loss: 0.725186, acc: 0.470703] [A loss: 0.873549, acc: 0.199219] 6257: [D loss: 0.689054, acc: 0.529297] [A loss: 0.782370, acc: 0.316406] 6258: [D loss: 0.710808, acc: 0.501953] [A loss: 0.833388, acc: 0.289062] 6259: [D loss: 0.698280, acc: 0.535156] [A loss: 0.809387, acc: 0.277344] 6260: [D loss: 0.699110, acc: 0.498047] [A loss: 0.775113, acc: 0.324219] 6261: [D loss: 0.721365, acc: 0.498047] [A loss: 0.952920, acc: 0.113281] 6262: [D loss: 0.701944, acc: 0.517578] [A loss: 0.688438, acc: 0.527344] 6263: [D loss: 0.712497, acc: 0.494141] [A loss: 0.917629, acc: 0.160156] 6264: [D loss: 0.689848, acc: 0.539062] [A loss: 0.732260, acc: 0.421875] 6265: [D loss: 0.710589, acc: 0.519531] [A loss: 0.925390, acc: 0.160156] 6266: [D loss: 0.692824, acc: 0.521484] [A loss: 0.724115, acc: 0.480469] 6267: [D loss: 0.721201, acc: 0.507812] [A loss: 0.886136, acc: 0.191406] 6268: [D loss: 0.705528, acc: 0.517578] [A loss: 0.740236, acc: 0.421875] 6269: [D loss: 0.709701, acc: 0.523438] [A loss: 0.898135, acc: 0.167969] 6270: [D loss: 0.698984, acc: 0.515625] [A loss: 0.695426, acc: 0.539062] 6271: [D loss: 0.711454, acc: 0.523438] [A loss: 0.913319, acc: 0.167969] 6272: [D loss: 0.702205, acc: 0.507812] [A loss: 0.673229, acc: 0.558594] 6273: [D loss: 0.722969, acc: 0.498047] [A loss: 0.869028, acc: 0.191406] 6274: [D loss: 0.704933, acc: 0.503906] [A loss: 0.765507, acc: 0.355469] 6275: [D loss: 0.714960, acc: 0.507812] [A loss: 0.851586, acc: 0.226562] 6276: [D loss: 0.710497, acc: 0.478516] [A loss: 0.741214, acc: 0.378906] 6277: [D loss: 0.717678, acc: 0.513672] [A loss: 0.870525, acc: 0.191406] 6278: [D loss: 0.708193, acc: 0.498047] [A loss: 0.732353, acc: 0.429688] 6279: [D loss: 0.709687, acc: 0.529297] [A loss: 0.832412, acc: 0.226562] 6280: [D loss: 0.693328, acc: 0.521484] [A loss: 0.833024, acc: 0.273438] 6281: [D loss: 0.712450, acc: 0.505859] [A loss: 0.765088, acc: 0.386719] 6282: [D loss: 0.712263, acc: 0.511719] [A loss: 0.872125, acc: 0.191406] 6283: [D loss: 0.702757, acc: 0.523438] [A loss: 0.770861, acc: 0.328125] 6284: [D loss: 0.700251, acc: 0.542969] [A loss: 0.919209, acc: 0.144531] 6285: [D loss: 0.700599, acc: 0.531250] [A loss: 0.771913, acc: 0.339844] 6286: [D loss: 0.712360, acc: 0.490234] [A loss: 0.906643, acc: 0.144531] 6287: [D loss: 0.692073, acc: 0.544922] [A loss: 0.746303, acc: 0.402344] 6288: [D loss: 0.709011, acc: 0.511719] [A loss: 0.860409, acc: 0.214844] 6289: [D loss: 0.701057, acc: 0.513672] [A loss: 0.846826, acc: 0.207031] 6290: [D loss: 0.702329, acc: 0.492188] [A loss: 0.768074, acc: 0.363281] 6291: [D loss: 0.700825, acc: 0.505859] [A loss: 0.975061, acc: 0.113281] 6292: [D loss: 0.704346, acc: 0.513672] [A loss: 0.689595, acc: 0.511719] 6293: [D loss: 0.704290, acc: 0.515625] [A loss: 0.880907, acc: 0.187500] 6294: [D loss: 0.706235, acc: 0.521484] [A loss: 0.751245, acc: 0.386719] 6295: [D loss: 0.700832, acc: 0.537109] [A loss: 0.783691, acc: 0.300781] 6296: [D loss: 0.693600, acc: 0.525391] [A loss: 0.804332, acc: 0.285156] 6297: [D loss: 0.698399, acc: 0.541016] [A loss: 0.829844, acc: 0.242188] 6298: [D loss: 0.697607, acc: 0.539062] [A loss: 0.784079, acc: 0.320312] 6299: [D loss: 0.705459, acc: 0.525391] [A loss: 0.877192, acc: 0.187500] 6300: [D loss: 0.686999, acc: 0.537109] [A loss: 0.726769, acc: 0.437500] 6301: [D loss: 0.723804, acc: 0.507812] [A loss: 0.966110, acc: 0.105469] 6302: [D loss: 0.701080, acc: 0.521484] [A loss: 0.716972, acc: 0.492188] 6303: [D loss: 0.730409, acc: 0.515625] [A loss: 0.944485, acc: 0.109375] 6304: [D loss: 0.711835, acc: 0.492188] [A loss: 0.806845, acc: 0.289062] 6305: [D loss: 0.719432, acc: 0.496094] [A loss: 0.827330, acc: 0.234375] 6306: [D loss: 0.685671, acc: 0.585938] [A loss: 0.798708, acc: 0.292969] 6307: [D loss: 0.709041, acc: 0.509766] [A loss: 0.811403, acc: 0.289062] 6308: [D loss: 0.703391, acc: 0.535156] [A loss: 0.887676, acc: 0.152344] 6309: [D loss: 0.699116, acc: 0.546875] [A loss: 0.794222, acc: 0.292969] 6310: [D loss: 0.705815, acc: 0.529297] [A loss: 0.858967, acc: 0.226562] 6311: [D loss: 0.699410, acc: 0.523438] [A loss: 0.750553, acc: 0.378906] 6312: [D loss: 0.698564, acc: 0.542969] [A loss: 0.900996, acc: 0.179688] 6313: [D loss: 0.714960, acc: 0.476562] [A loss: 0.761566, acc: 0.359375] 6314: [D loss: 0.709210, acc: 0.498047] [A loss: 0.960585, acc: 0.097656] 6315: [D loss: 0.697931, acc: 0.517578] [A loss: 0.669051, acc: 0.550781] 6316: [D loss: 0.737963, acc: 0.515625] [A loss: 0.896764, acc: 0.164062] 6317: [D loss: 0.695401, acc: 0.546875] [A loss: 0.877427, acc: 0.156250] 6318: [D loss: 0.697658, acc: 0.533203] [A loss: 0.737820, acc: 0.441406] 6319: [D loss: 0.700467, acc: 0.542969] [A loss: 1.006249, acc: 0.105469] 6320: [D loss: 0.699682, acc: 0.527344] [A loss: 0.724006, acc: 0.437500] 6321: [D loss: 0.692140, acc: 0.554688] [A loss: 0.789295, acc: 0.324219] 6322: [D loss: 0.700471, acc: 0.527344] [A loss: 0.764525, acc: 0.359375] 6323: [D loss: 0.715357, acc: 0.505859] [A loss: 0.857450, acc: 0.210938] 6324: [D loss: 0.687614, acc: 0.542969] [A loss: 0.790534, acc: 0.300781] 6325: [D loss: 0.697020, acc: 0.525391] [A loss: 0.831741, acc: 0.250000] 6326: [D loss: 0.698868, acc: 0.548828] [A loss: 0.766816, acc: 0.355469] 6327: [D loss: 0.713628, acc: 0.537109] [A loss: 0.910791, acc: 0.148438] 6328: [D loss: 0.700757, acc: 0.525391] [A loss: 0.729341, acc: 0.433594] 6329: [D loss: 0.712676, acc: 0.517578] [A loss: 0.911161, acc: 0.144531] 6330: [D loss: 0.695011, acc: 0.533203] [A loss: 0.723774, acc: 0.445312] 6331: [D loss: 0.716176, acc: 0.488281] [A loss: 0.853793, acc: 0.222656] 6332: [D loss: 0.704519, acc: 0.509766] [A loss: 0.754041, acc: 0.332031] 6333: [D loss: 0.711861, acc: 0.500000] [A loss: 0.909176, acc: 0.160156] 6334: [D loss: 0.693824, acc: 0.533203] [A loss: 0.740106, acc: 0.378906] 6335: [D loss: 0.717388, acc: 0.533203] [A loss: 0.925785, acc: 0.121094] 6336: [D loss: 0.711997, acc: 0.511719] [A loss: 0.717251, acc: 0.492188] 6337: [D loss: 0.703866, acc: 0.544922] [A loss: 0.847855, acc: 0.230469] 6338: [D loss: 0.701236, acc: 0.515625] [A loss: 0.717934, acc: 0.464844] 6339: [D loss: 0.713681, acc: 0.513672] [A loss: 0.849125, acc: 0.203125] 6340: [D loss: 0.695363, acc: 0.519531] [A loss: 0.781378, acc: 0.332031] 6341: [D loss: 0.715054, acc: 0.478516] [A loss: 0.819380, acc: 0.261719] 6342: [D loss: 0.705036, acc: 0.521484] [A loss: 0.793391, acc: 0.300781] 6343: [D loss: 0.698013, acc: 0.525391] [A loss: 0.885785, acc: 0.140625] 6344: [D loss: 0.683389, acc: 0.527344] [A loss: 0.726124, acc: 0.480469] 6345: [D loss: 0.706400, acc: 0.517578] [A loss: 0.916686, acc: 0.140625] 6346: [D loss: 0.708428, acc: 0.503906] [A loss: 0.767067, acc: 0.363281] 6347: [D loss: 0.702236, acc: 0.541016] [A loss: 0.896244, acc: 0.187500] 6348: [D loss: 0.689162, acc: 0.525391] [A loss: 0.727586, acc: 0.425781] 6349: [D loss: 0.722445, acc: 0.503906] [A loss: 0.978581, acc: 0.109375] 6350: [D loss: 0.709944, acc: 0.488281] [A loss: 0.740016, acc: 0.402344] 6351: [D loss: 0.722306, acc: 0.507812] [A loss: 0.932957, acc: 0.093750] 6352: [D loss: 0.696366, acc: 0.515625] [A loss: 0.702043, acc: 0.496094] 6353: [D loss: 0.719886, acc: 0.513672] [A loss: 0.982994, acc: 0.082031] 6354: [D loss: 0.719562, acc: 0.511719] [A loss: 0.711291, acc: 0.472656] 6355: [D loss: 0.711112, acc: 0.523438] [A loss: 0.873479, acc: 0.187500] 6356: [D loss: 0.699575, acc: 0.542969] [A loss: 0.829928, acc: 0.253906] 6357: [D loss: 0.695735, acc: 0.564453] [A loss: 0.789379, acc: 0.343750] 6358: [D loss: 0.710899, acc: 0.507812] [A loss: 0.790085, acc: 0.273438] 6359: [D loss: 0.698111, acc: 0.523438] [A loss: 0.824306, acc: 0.230469] 6360: [D loss: 0.693412, acc: 0.507812] [A loss: 0.787523, acc: 0.300781] 6361: [D loss: 0.712501, acc: 0.523438] [A loss: 0.844484, acc: 0.195312] 6362: [D loss: 0.706700, acc: 0.501953] [A loss: 0.814187, acc: 0.316406] 6363: [D loss: 0.704126, acc: 0.521484] [A loss: 0.806994, acc: 0.277344] 6364: [D loss: 0.688081, acc: 0.535156] [A loss: 0.943961, acc: 0.125000] 6365: [D loss: 0.689458, acc: 0.552734] [A loss: 0.698493, acc: 0.503906] 6366: [D loss: 0.699815, acc: 0.544922] [A loss: 0.942171, acc: 0.113281] 6367: [D loss: 0.710034, acc: 0.511719] [A loss: 0.687536, acc: 0.542969] 6368: [D loss: 0.733232, acc: 0.509766] [A loss: 0.961517, acc: 0.101562] 6369: [D loss: 0.706442, acc: 0.509766] [A loss: 0.705522, acc: 0.464844] 6370: [D loss: 0.717874, acc: 0.511719] [A loss: 0.851811, acc: 0.199219] 6371: [D loss: 0.692249, acc: 0.533203] [A loss: 0.763441, acc: 0.355469] 6372: [D loss: 0.722774, acc: 0.509766] [A loss: 0.860164, acc: 0.214844] 6373: [D loss: 0.707346, acc: 0.513672] [A loss: 0.805992, acc: 0.265625] 6374: [D loss: 0.713985, acc: 0.474609] [A loss: 0.823718, acc: 0.300781] 6375: [D loss: 0.708618, acc: 0.509766] [A loss: 0.822225, acc: 0.226562] 6376: [D loss: 0.710198, acc: 0.517578] [A loss: 0.915898, acc: 0.117188] 6377: [D loss: 0.698977, acc: 0.533203] [A loss: 0.724500, acc: 0.449219] 6378: [D loss: 0.714120, acc: 0.541016] [A loss: 0.953943, acc: 0.136719] 6379: [D loss: 0.704313, acc: 0.496094] [A loss: 0.754229, acc: 0.402344] 6380: [D loss: 0.730455, acc: 0.500000] [A loss: 0.895377, acc: 0.136719] 6381: [D loss: 0.702938, acc: 0.501953] [A loss: 0.770912, acc: 0.371094] 6382: [D loss: 0.707574, acc: 0.498047] [A loss: 0.878074, acc: 0.195312] 6383: [D loss: 0.687766, acc: 0.554688] [A loss: 0.715110, acc: 0.468750] 6384: [D loss: 0.725145, acc: 0.490234] [A loss: 0.889668, acc: 0.183594] 6385: [D loss: 0.697855, acc: 0.496094] [A loss: 0.717395, acc: 0.515625] 6386: [D loss: 0.718897, acc: 0.517578] [A loss: 0.882424, acc: 0.164062] 6387: [D loss: 0.694128, acc: 0.507812] [A loss: 0.754540, acc: 0.359375] 6388: [D loss: 0.710869, acc: 0.503906] [A loss: 0.856008, acc: 0.207031] 6389: [D loss: 0.698768, acc: 0.533203] [A loss: 0.783285, acc: 0.316406] 6390: [D loss: 0.688845, acc: 0.568359] [A loss: 0.806957, acc: 0.253906] 6391: [D loss: 0.721596, acc: 0.513672] [A loss: 0.914271, acc: 0.160156] 6392: [D loss: 0.690876, acc: 0.548828] [A loss: 0.773738, acc: 0.371094] 6393: [D loss: 0.706062, acc: 0.519531] [A loss: 0.967220, acc: 0.128906] 6394: [D loss: 0.690637, acc: 0.515625] [A loss: 0.692542, acc: 0.566406] 6395: [D loss: 0.746059, acc: 0.498047] [A loss: 1.030620, acc: 0.070312] 6396: [D loss: 0.721435, acc: 0.488281] [A loss: 0.783506, acc: 0.367188] 6397: [D loss: 0.739850, acc: 0.441406] [A loss: 0.929878, acc: 0.113281] 6398: [D loss: 0.697787, acc: 0.531250] [A loss: 0.721292, acc: 0.464844] 6399: [D loss: 0.717742, acc: 0.515625] [A loss: 0.911418, acc: 0.167969] 6400: [D loss: 0.690875, acc: 0.533203] [A loss: 0.717118, acc: 0.472656] 6401: [D loss: 0.721098, acc: 0.492188] [A loss: 0.962981, acc: 0.101562] 6402: [D loss: 0.693893, acc: 0.527344] [A loss: 0.704265, acc: 0.503906] 6403: [D loss: 0.703305, acc: 0.525391] [A loss: 0.931801, acc: 0.117188] 6404: [D loss: 0.691529, acc: 0.537109] [A loss: 0.727517, acc: 0.429688] 6405: [D loss: 0.719761, acc: 0.513672] [A loss: 0.857478, acc: 0.226562] 6406: [D loss: 0.695937, acc: 0.503906] [A loss: 0.774505, acc: 0.367188] 6407: [D loss: 0.726417, acc: 0.478516] [A loss: 0.911325, acc: 0.152344] 6408: [D loss: 0.685643, acc: 0.544922] [A loss: 0.704724, acc: 0.468750] 6409: [D loss: 0.703077, acc: 0.542969] [A loss: 0.886977, acc: 0.136719] 6410: [D loss: 0.694057, acc: 0.521484] [A loss: 0.730744, acc: 0.441406] 6411: [D loss: 0.721597, acc: 0.513672] [A loss: 0.893749, acc: 0.156250] 6412: [D loss: 0.693064, acc: 0.519531] [A loss: 0.789987, acc: 0.378906] 6413: [D loss: 0.691979, acc: 0.546875] [A loss: 0.825035, acc: 0.277344] 6414: [D loss: 0.708977, acc: 0.501953] [A loss: 0.763613, acc: 0.371094] 6415: [D loss: 0.692675, acc: 0.548828] [A loss: 0.865835, acc: 0.199219] 6416: [D loss: 0.702515, acc: 0.500000] [A loss: 0.845148, acc: 0.281250] 6417: [D loss: 0.687067, acc: 0.566406] [A loss: 0.819557, acc: 0.238281] 6418: [D loss: 0.711037, acc: 0.484375] [A loss: 0.949261, acc: 0.105469] 6419: [D loss: 0.706664, acc: 0.531250] [A loss: 0.787432, acc: 0.347656] 6420: [D loss: 0.714625, acc: 0.515625] [A loss: 0.924345, acc: 0.164062] 6421: [D loss: 0.694243, acc: 0.515625] [A loss: 0.733769, acc: 0.449219] 6422: [D loss: 0.718161, acc: 0.505859] [A loss: 0.921246, acc: 0.125000] 6423: [D loss: 0.720223, acc: 0.476562] [A loss: 0.693259, acc: 0.507812] 6424: [D loss: 0.718590, acc: 0.515625] [A loss: 0.981789, acc: 0.117188] 6425: [D loss: 0.694061, acc: 0.527344] [A loss: 0.698531, acc: 0.507812] 6426: [D loss: 0.732209, acc: 0.482422] [A loss: 0.884690, acc: 0.164062] 6427: [D loss: 0.703779, acc: 0.537109] [A loss: 0.775905, acc: 0.359375] 6428: [D loss: 0.708848, acc: 0.523438] [A loss: 0.854630, acc: 0.222656] 6429: [D loss: 0.689685, acc: 0.558594] [A loss: 0.760279, acc: 0.406250] 6430: [D loss: 0.711907, acc: 0.511719] [A loss: 0.879419, acc: 0.191406] 6431: [D loss: 0.708966, acc: 0.517578] [A loss: 0.717927, acc: 0.472656] 6432: [D loss: 0.712853, acc: 0.527344] [A loss: 0.932355, acc: 0.160156] 6433: [D loss: 0.698849, acc: 0.511719] [A loss: 0.687214, acc: 0.554688] 6434: [D loss: 0.721256, acc: 0.500000] [A loss: 0.891450, acc: 0.183594] 6435: [D loss: 0.692740, acc: 0.523438] [A loss: 0.751543, acc: 0.425781] 6436: [D loss: 0.702775, acc: 0.529297] [A loss: 0.885152, acc: 0.199219] 6437: [D loss: 0.692870, acc: 0.525391] [A loss: 0.722445, acc: 0.425781] 6438: [D loss: 0.709480, acc: 0.525391] [A loss: 0.958945, acc: 0.097656] 6439: [D loss: 0.703068, acc: 0.519531] [A loss: 0.693729, acc: 0.515625] 6440: [D loss: 0.715559, acc: 0.542969] [A loss: 0.982378, acc: 0.101562] 6441: [D loss: 0.689242, acc: 0.533203] [A loss: 0.749797, acc: 0.394531] 6442: [D loss: 0.725160, acc: 0.490234] [A loss: 0.869894, acc: 0.160156] 6443: [D loss: 0.708580, acc: 0.496094] [A loss: 0.786362, acc: 0.351562] 6444: [D loss: 0.693642, acc: 0.552734] [A loss: 0.843117, acc: 0.273438] 6445: [D loss: 0.699588, acc: 0.527344] [A loss: 0.785468, acc: 0.355469] 6446: [D loss: 0.711681, acc: 0.500000] [A loss: 0.881827, acc: 0.226562] 6447: [D loss: 0.699959, acc: 0.529297] [A loss: 0.757209, acc: 0.390625] 6448: [D loss: 0.707743, acc: 0.529297] [A loss: 0.921169, acc: 0.160156] 6449: [D loss: 0.705084, acc: 0.521484] [A loss: 0.732143, acc: 0.429688] 6450: [D loss: 0.698573, acc: 0.542969] [A loss: 0.871568, acc: 0.226562] 6451: [D loss: 0.693789, acc: 0.521484] [A loss: 0.788472, acc: 0.324219] 6452: [D loss: 0.698060, acc: 0.558594] [A loss: 0.861570, acc: 0.203125] 6453: [D loss: 0.694838, acc: 0.566406] [A loss: 0.780724, acc: 0.343750] 6454: [D loss: 0.708475, acc: 0.521484] [A loss: 0.898361, acc: 0.160156] 6455: [D loss: 0.692345, acc: 0.541016] [A loss: 0.741370, acc: 0.406250] 6456: [D loss: 0.729933, acc: 0.468750] [A loss: 0.889808, acc: 0.187500] 6457: [D loss: 0.696566, acc: 0.539062] [A loss: 0.732620, acc: 0.453125] 6458: [D loss: 0.716667, acc: 0.537109] [A loss: 0.966844, acc: 0.109375] 6459: [D loss: 0.700744, acc: 0.527344] [A loss: 0.660226, acc: 0.589844] 6460: [D loss: 0.714794, acc: 0.519531] [A loss: 0.912823, acc: 0.148438] 6461: [D loss: 0.692619, acc: 0.546875] [A loss: 0.736564, acc: 0.406250] 6462: [D loss: 0.702519, acc: 0.548828] [A loss: 0.825773, acc: 0.261719] 6463: [D loss: 0.700876, acc: 0.519531] [A loss: 0.766947, acc: 0.386719] 6464: [D loss: 0.709575, acc: 0.517578] [A loss: 0.899343, acc: 0.171875] 6465: [D loss: 0.701681, acc: 0.515625] [A loss: 0.791595, acc: 0.300781] 6466: [D loss: 0.721098, acc: 0.517578] [A loss: 0.920811, acc: 0.144531] 6467: [D loss: 0.711018, acc: 0.480469] [A loss: 0.739266, acc: 0.457031] 6468: [D loss: 0.715226, acc: 0.517578] [A loss: 0.881136, acc: 0.183594] 6469: [D loss: 0.702238, acc: 0.517578] [A loss: 0.801654, acc: 0.281250] 6470: [D loss: 0.707906, acc: 0.529297] [A loss: 0.822664, acc: 0.257812] 6471: [D loss: 0.709534, acc: 0.515625] [A loss: 0.830537, acc: 0.261719] 6472: [D loss: 0.697682, acc: 0.527344] [A loss: 0.820257, acc: 0.269531] 6473: [D loss: 0.697238, acc: 0.537109] [A loss: 0.857292, acc: 0.246094] 6474: [D loss: 0.717106, acc: 0.486328] [A loss: 0.803105, acc: 0.296875] 6475: [D loss: 0.699909, acc: 0.535156] [A loss: 0.813086, acc: 0.296875] 6476: [D loss: 0.701227, acc: 0.531250] [A loss: 0.896029, acc: 0.187500] 6477: [D loss: 0.698620, acc: 0.521484] [A loss: 0.850312, acc: 0.234375] 6478: [D loss: 0.704720, acc: 0.527344] [A loss: 0.867465, acc: 0.195312] 6479: [D loss: 0.700219, acc: 0.513672] [A loss: 0.746193, acc: 0.406250] 6480: [D loss: 0.707648, acc: 0.535156] [A loss: 0.980694, acc: 0.093750] 6481: [D loss: 0.708740, acc: 0.501953] [A loss: 0.649764, acc: 0.609375] 6482: [D loss: 0.724191, acc: 0.529297] [A loss: 1.012502, acc: 0.074219] 6483: [D loss: 0.703781, acc: 0.525391] [A loss: 0.670234, acc: 0.558594] 6484: [D loss: 0.764221, acc: 0.484375] [A loss: 0.968399, acc: 0.089844] 6485: [D loss: 0.711226, acc: 0.496094] [A loss: 0.732563, acc: 0.464844] 6486: [D loss: 0.741733, acc: 0.476562] [A loss: 0.991397, acc: 0.078125] 6487: [D loss: 0.723861, acc: 0.457031] [A loss: 0.663412, acc: 0.601562] 6488: [D loss: 0.730261, acc: 0.488281] [A loss: 0.852321, acc: 0.238281] 6489: [D loss: 0.699238, acc: 0.525391] [A loss: 0.764512, acc: 0.363281] 6490: [D loss: 0.707746, acc: 0.535156] [A loss: 0.824121, acc: 0.234375] 6491: [D loss: 0.708397, acc: 0.505859] [A loss: 0.793898, acc: 0.292969] 6492: [D loss: 0.705214, acc: 0.511719] [A loss: 0.798367, acc: 0.277344] 6493: [D loss: 0.707114, acc: 0.501953] [A loss: 0.818999, acc: 0.277344] 6494: [D loss: 0.711089, acc: 0.503906] [A loss: 0.816819, acc: 0.253906] 6495: [D loss: 0.703735, acc: 0.541016] [A loss: 0.855506, acc: 0.203125] 6496: [D loss: 0.698135, acc: 0.525391] [A loss: 0.795413, acc: 0.269531] 6497: [D loss: 0.709826, acc: 0.503906] [A loss: 0.875193, acc: 0.187500] 6498: [D loss: 0.691969, acc: 0.531250] [A loss: 0.729540, acc: 0.425781] 6499: [D loss: 0.699273, acc: 0.527344] [A loss: 0.876316, acc: 0.175781] 6500: [D loss: 0.707045, acc: 0.501953] [A loss: 0.760926, acc: 0.367188] 6501: [D loss: 0.711307, acc: 0.517578] [A loss: 0.831187, acc: 0.253906] 6502: [D loss: 0.698513, acc: 0.529297] [A loss: 0.751115, acc: 0.394531] 6503: [D loss: 0.721193, acc: 0.513672] [A loss: 0.959952, acc: 0.105469] 6504: [D loss: 0.693779, acc: 0.544922] [A loss: 0.675273, acc: 0.574219] 6505: [D loss: 0.711408, acc: 0.531250] [A loss: 0.990224, acc: 0.078125] 6506: [D loss: 0.710494, acc: 0.498047] [A loss: 0.680449, acc: 0.546875] 6507: [D loss: 0.734725, acc: 0.490234] [A loss: 0.900690, acc: 0.164062] 6508: [D loss: 0.696017, acc: 0.533203] [A loss: 0.734661, acc: 0.437500] 6509: [D loss: 0.708967, acc: 0.523438] [A loss: 0.902925, acc: 0.117188] 6510: [D loss: 0.702063, acc: 0.513672] [A loss: 0.699176, acc: 0.535156] 6511: [D loss: 0.707425, acc: 0.539062] [A loss: 0.904779, acc: 0.167969] 6512: [D loss: 0.696005, acc: 0.517578] [A loss: 0.754512, acc: 0.375000] 6513: [D loss: 0.705616, acc: 0.539062] [A loss: 0.817316, acc: 0.281250] 6514: [D loss: 0.684786, acc: 0.548828] [A loss: 0.762976, acc: 0.417969] 6515: [D loss: 0.714411, acc: 0.476562] [A loss: 0.894969, acc: 0.164062] 6516: [D loss: 0.710236, acc: 0.507812] [A loss: 0.748083, acc: 0.398438] 6517: [D loss: 0.717141, acc: 0.500000] [A loss: 0.898810, acc: 0.164062] 6518: [D loss: 0.702937, acc: 0.515625] [A loss: 0.840994, acc: 0.242188] 6519: [D loss: 0.695491, acc: 0.539062] [A loss: 0.903964, acc: 0.175781] 6520: [D loss: 0.694603, acc: 0.529297] [A loss: 0.740725, acc: 0.394531] 6521: [D loss: 0.716223, acc: 0.535156] [A loss: 0.940444, acc: 0.105469] 6522: [D loss: 0.702174, acc: 0.515625] [A loss: 0.717637, acc: 0.500000] 6523: [D loss: 0.730633, acc: 0.488281] [A loss: 0.938215, acc: 0.136719] 6524: [D loss: 0.709485, acc: 0.488281] [A loss: 0.753057, acc: 0.433594] 6525: [D loss: 0.726041, acc: 0.488281] [A loss: 1.007207, acc: 0.058594] 6526: [D loss: 0.694647, acc: 0.535156] [A loss: 0.745924, acc: 0.410156] 6527: [D loss: 0.715350, acc: 0.492188] [A loss: 0.853547, acc: 0.210938] 6528: [D loss: 0.708894, acc: 0.498047] [A loss: 0.787108, acc: 0.332031] 6529: [D loss: 0.710597, acc: 0.503906] [A loss: 0.791410, acc: 0.312500] 6530: [D loss: 0.699158, acc: 0.509766] [A loss: 0.825149, acc: 0.265625] 6531: [D loss: 0.705435, acc: 0.519531] [A loss: 0.831119, acc: 0.250000] 6532: [D loss: 0.696732, acc: 0.544922] [A loss: 0.842237, acc: 0.250000] 6533: [D loss: 0.698949, acc: 0.535156] [A loss: 0.772440, acc: 0.343750] 6534: [D loss: 0.705999, acc: 0.529297] [A loss: 0.855017, acc: 0.250000] 6535: [D loss: 0.695624, acc: 0.523438] [A loss: 0.745759, acc: 0.402344] 6536: [D loss: 0.727510, acc: 0.476562] [A loss: 0.943968, acc: 0.117188] 6537: [D loss: 0.703790, acc: 0.517578] [A loss: 0.708025, acc: 0.476562] 6538: [D loss: 0.708958, acc: 0.523438] [A loss: 0.982282, acc: 0.066406] 6539: [D loss: 0.693335, acc: 0.521484] [A loss: 0.710091, acc: 0.476562] 6540: [D loss: 0.736523, acc: 0.478516] [A loss: 0.918163, acc: 0.187500] 6541: [D loss: 0.718796, acc: 0.503906] [A loss: 0.747243, acc: 0.382812] 6542: [D loss: 0.718623, acc: 0.521484] [A loss: 0.922724, acc: 0.140625] 6543: [D loss: 0.701523, acc: 0.535156] [A loss: 0.720492, acc: 0.480469] 6544: [D loss: 0.710932, acc: 0.515625] [A loss: 0.901781, acc: 0.140625] 6545: [D loss: 0.707945, acc: 0.503906] [A loss: 0.765076, acc: 0.375000] 6546: [D loss: 0.711411, acc: 0.529297] [A loss: 0.878004, acc: 0.167969] 6547: [D loss: 0.702667, acc: 0.494141] [A loss: 0.756535, acc: 0.359375] 6548: [D loss: 0.709190, acc: 0.521484] [A loss: 0.799893, acc: 0.312500] 6549: [D loss: 0.705512, acc: 0.505859] [A loss: 0.778896, acc: 0.347656] 6550: [D loss: 0.696084, acc: 0.535156] [A loss: 0.848665, acc: 0.238281] 6551: [D loss: 0.694838, acc: 0.535156] [A loss: 0.811090, acc: 0.292969] 6552: [D loss: 0.703775, acc: 0.509766] [A loss: 0.806618, acc: 0.312500] 6553: [D loss: 0.718391, acc: 0.503906] [A loss: 0.801654, acc: 0.300781] 6554: [D loss: 0.708897, acc: 0.533203] [A loss: 0.911686, acc: 0.167969] 6555: [D loss: 0.695596, acc: 0.533203] [A loss: 0.785238, acc: 0.347656] 6556: [D loss: 0.708576, acc: 0.505859] [A loss: 0.939773, acc: 0.128906] 6557: [D loss: 0.700463, acc: 0.523438] [A loss: 0.710202, acc: 0.460938] 6558: [D loss: 0.715947, acc: 0.507812] [A loss: 0.944766, acc: 0.085938] 6559: [D loss: 0.714828, acc: 0.490234] [A loss: 0.665647, acc: 0.585938] 6560: [D loss: 0.737255, acc: 0.490234] [A loss: 0.994976, acc: 0.070312] 6561: [D loss: 0.703732, acc: 0.513672] [A loss: 0.665739, acc: 0.585938] 6562: [D loss: 0.728779, acc: 0.500000] [A loss: 1.022838, acc: 0.054688] 6563: [D loss: 0.713389, acc: 0.482422] [A loss: 0.788504, acc: 0.343750] 6564: [D loss: 0.692707, acc: 0.544922] [A loss: 0.822842, acc: 0.207031] 6565: [D loss: 0.715195, acc: 0.480469] [A loss: 0.829555, acc: 0.246094] 6566: [D loss: 0.706050, acc: 0.490234] [A loss: 0.791663, acc: 0.339844] 6567: [D loss: 0.695621, acc: 0.550781] [A loss: 0.812745, acc: 0.304688] 6568: [D loss: 0.695804, acc: 0.527344] [A loss: 0.812041, acc: 0.289062] 6569: [D loss: 0.706257, acc: 0.515625] [A loss: 0.889141, acc: 0.175781] 6570: [D loss: 0.698965, acc: 0.525391] [A loss: 0.846937, acc: 0.234375] 6571: [D loss: 0.702301, acc: 0.519531] [A loss: 0.819216, acc: 0.257812] 6572: [D loss: 0.698304, acc: 0.529297] [A loss: 0.852831, acc: 0.195312] 6573: [D loss: 0.708837, acc: 0.494141] [A loss: 0.806719, acc: 0.269531] 6574: [D loss: 0.700396, acc: 0.519531] [A loss: 0.831123, acc: 0.273438] 6575: [D loss: 0.703678, acc: 0.539062] [A loss: 0.872971, acc: 0.179688] 6576: [D loss: 0.707870, acc: 0.515625] [A loss: 0.738461, acc: 0.437500] 6577: [D loss: 0.717694, acc: 0.507812] [A loss: 0.953752, acc: 0.105469] 6578: [D loss: 0.699949, acc: 0.507812] [A loss: 0.776857, acc: 0.355469] 6579: [D loss: 0.713806, acc: 0.492188] [A loss: 0.919839, acc: 0.144531] 6580: [D loss: 0.689887, acc: 0.541016] [A loss: 0.732803, acc: 0.429688] 6581: [D loss: 0.716777, acc: 0.552734] [A loss: 0.938371, acc: 0.109375] 6582: [D loss: 0.711724, acc: 0.501953] [A loss: 0.728101, acc: 0.460938] 6583: [D loss: 0.705456, acc: 0.529297] [A loss: 0.989681, acc: 0.089844] 6584: [D loss: 0.700899, acc: 0.501953] [A loss: 0.718176, acc: 0.457031] 6585: [D loss: 0.725364, acc: 0.490234] [A loss: 0.913337, acc: 0.140625] 6586: [D loss: 0.699528, acc: 0.509766] [A loss: 0.730434, acc: 0.453125] 6587: [D loss: 0.700643, acc: 0.513672] [A loss: 0.884791, acc: 0.203125] 6588: [D loss: 0.699584, acc: 0.517578] [A loss: 0.786683, acc: 0.316406] 6589: [D loss: 0.701914, acc: 0.531250] [A loss: 0.848297, acc: 0.207031] 6590: [D loss: 0.690991, acc: 0.546875] [A loss: 0.806168, acc: 0.250000] 6591: [D loss: 0.690946, acc: 0.566406] [A loss: 0.955048, acc: 0.136719] 6592: [D loss: 0.703391, acc: 0.521484] [A loss: 0.772593, acc: 0.367188] 6593: [D loss: 0.700349, acc: 0.535156] [A loss: 0.872483, acc: 0.222656] 6594: [D loss: 0.686446, acc: 0.548828] [A loss: 0.748396, acc: 0.398438] 6595: [D loss: 0.717395, acc: 0.500000] [A loss: 0.935502, acc: 0.113281] 6596: [D loss: 0.702378, acc: 0.513672] [A loss: 0.717675, acc: 0.476562] 6597: [D loss: 0.719345, acc: 0.533203] [A loss: 0.925880, acc: 0.109375] 6598: [D loss: 0.676357, acc: 0.568359] [A loss: 0.738610, acc: 0.410156] 6599: [D loss: 0.734691, acc: 0.511719] [A loss: 1.016621, acc: 0.078125] 6600: [D loss: 0.705685, acc: 0.505859] [A loss: 0.686901, acc: 0.519531] 6601: [D loss: 0.744297, acc: 0.498047] [A loss: 0.917303, acc: 0.128906] 6602: [D loss: 0.684667, acc: 0.537109] [A loss: 0.688620, acc: 0.562500] 6603: [D loss: 0.728020, acc: 0.533203] [A loss: 1.009529, acc: 0.074219] 6604: [D loss: 0.723912, acc: 0.478516] [A loss: 0.718252, acc: 0.480469] 6605: [D loss: 0.716743, acc: 0.509766] [A loss: 0.846903, acc: 0.250000] 6606: [D loss: 0.708479, acc: 0.500000] [A loss: 0.770476, acc: 0.367188] 6607: [D loss: 0.688741, acc: 0.564453] [A loss: 0.773083, acc: 0.367188] 6608: [D loss: 0.712361, acc: 0.496094] [A loss: 0.818675, acc: 0.265625] 6609: [D loss: 0.696689, acc: 0.539062] [A loss: 0.857473, acc: 0.222656] 6610: [D loss: 0.704845, acc: 0.527344] [A loss: 0.794545, acc: 0.320312] 6611: [D loss: 0.699759, acc: 0.523438] [A loss: 0.859898, acc: 0.195312] 6612: [D loss: 0.702851, acc: 0.498047] [A loss: 0.744648, acc: 0.437500] 6613: [D loss: 0.718189, acc: 0.519531] [A loss: 0.937290, acc: 0.140625] 6614: [D loss: 0.697486, acc: 0.511719] [A loss: 0.720993, acc: 0.488281] 6615: [D loss: 0.716313, acc: 0.509766] [A loss: 0.908504, acc: 0.132812] 6616: [D loss: 0.703436, acc: 0.525391] [A loss: 0.788536, acc: 0.304688] 6617: [D loss: 0.697481, acc: 0.525391] [A loss: 0.881446, acc: 0.187500] 6618: [D loss: 0.710904, acc: 0.505859] [A loss: 0.803951, acc: 0.335938] 6619: [D loss: 0.705468, acc: 0.513672] [A loss: 0.811469, acc: 0.292969] 6620: [D loss: 0.705336, acc: 0.517578] [A loss: 0.855778, acc: 0.230469] 6621: [D loss: 0.718040, acc: 0.494141] [A loss: 0.813380, acc: 0.328125] 6622: [D loss: 0.698949, acc: 0.511719] [A loss: 0.788820, acc: 0.328125] 6623: [D loss: 0.689031, acc: 0.544922] [A loss: 0.802445, acc: 0.332031] 6624: [D loss: 0.698616, acc: 0.535156] [A loss: 0.838761, acc: 0.277344] 6625: [D loss: 0.688352, acc: 0.560547] [A loss: 0.878448, acc: 0.171875] 6626: [D loss: 0.711740, acc: 0.513672] [A loss: 0.813740, acc: 0.285156] 6627: [D loss: 0.704508, acc: 0.535156] [A loss: 0.903836, acc: 0.167969] 6628: [D loss: 0.689795, acc: 0.539062] [A loss: 0.798689, acc: 0.308594] 6629: [D loss: 0.698222, acc: 0.548828] [A loss: 0.940743, acc: 0.105469] 6630: [D loss: 0.679024, acc: 0.560547] [A loss: 0.762074, acc: 0.386719] 6631: [D loss: 0.711900, acc: 0.517578] [A loss: 1.024112, acc: 0.062500] 6632: [D loss: 0.701131, acc: 0.529297] [A loss: 0.663832, acc: 0.562500] 6633: [D loss: 0.740884, acc: 0.503906] [A loss: 1.119494, acc: 0.050781] 6634: [D loss: 0.702862, acc: 0.537109] [A loss: 0.655769, acc: 0.582031] 6635: [D loss: 0.770904, acc: 0.507812] [A loss: 0.964963, acc: 0.085938] 6636: [D loss: 0.700749, acc: 0.531250] [A loss: 0.739376, acc: 0.453125] 6637: [D loss: 0.719683, acc: 0.492188] [A loss: 0.883278, acc: 0.210938] 6638: [D loss: 0.695715, acc: 0.539062] [A loss: 0.753561, acc: 0.433594] 6639: [D loss: 0.695197, acc: 0.525391] [A loss: 0.807990, acc: 0.304688] 6640: [D loss: 0.694578, acc: 0.544922] [A loss: 0.775760, acc: 0.335938] 6641: [D loss: 0.702119, acc: 0.546875] [A loss: 0.894434, acc: 0.207031] 6642: [D loss: 0.712811, acc: 0.503906] [A loss: 0.787814, acc: 0.363281] 6643: [D loss: 0.732180, acc: 0.480469] [A loss: 0.876316, acc: 0.191406] 6644: [D loss: 0.705842, acc: 0.500000] [A loss: 0.755204, acc: 0.410156] 6645: [D loss: 0.718726, acc: 0.500000] [A loss: 0.943239, acc: 0.128906] 6646: [D loss: 0.693532, acc: 0.539062] [A loss: 0.752210, acc: 0.394531] 6647: [D loss: 0.717629, acc: 0.511719] [A loss: 0.975829, acc: 0.109375] 6648: [D loss: 0.687645, acc: 0.550781] [A loss: 0.704421, acc: 0.496094] 6649: [D loss: 0.712805, acc: 0.519531] [A loss: 0.917216, acc: 0.136719] 6650: [D loss: 0.688512, acc: 0.537109] [A loss: 0.735571, acc: 0.417969] 6651: [D loss: 0.703249, acc: 0.531250] [A loss: 0.914824, acc: 0.144531] 6652: [D loss: 0.694908, acc: 0.548828] [A loss: 0.721434, acc: 0.472656] 6653: [D loss: 0.704705, acc: 0.537109] [A loss: 0.955090, acc: 0.152344] 6654: [D loss: 0.700708, acc: 0.494141] [A loss: 0.689685, acc: 0.535156] 6655: [D loss: 0.727335, acc: 0.500000] [A loss: 0.915938, acc: 0.156250] 6656: [D loss: 0.706987, acc: 0.500000] [A loss: 0.756774, acc: 0.429688] 6657: [D loss: 0.721745, acc: 0.503906] [A loss: 0.874980, acc: 0.187500] 6658: [D loss: 0.723804, acc: 0.476562] [A loss: 0.769386, acc: 0.367188] 6659: [D loss: 0.695543, acc: 0.527344] [A loss: 0.867069, acc: 0.226562] 6660: [D loss: 0.704984, acc: 0.511719] [A loss: 0.814197, acc: 0.304688] 6661: [D loss: 0.700774, acc: 0.542969] [A loss: 0.832498, acc: 0.269531] 6662: [D loss: 0.721557, acc: 0.492188] [A loss: 0.913941, acc: 0.156250] 6663: [D loss: 0.707044, acc: 0.523438] [A loss: 0.774495, acc: 0.351562] 6664: [D loss: 0.707026, acc: 0.548828] [A loss: 0.939826, acc: 0.128906] 6665: [D loss: 0.718480, acc: 0.462891] [A loss: 0.759833, acc: 0.414062] 6666: [D loss: 0.718215, acc: 0.517578] [A loss: 1.088111, acc: 0.031250] 6667: [D loss: 0.708360, acc: 0.529297] [A loss: 0.674362, acc: 0.570312] 6668: [D loss: 0.745558, acc: 0.490234] [A loss: 0.963736, acc: 0.097656] 6669: [D loss: 0.701978, acc: 0.521484] [A loss: 0.722459, acc: 0.464844] 6670: [D loss: 0.722270, acc: 0.503906] [A loss: 0.943143, acc: 0.152344] 6671: [D loss: 0.690454, acc: 0.546875] [A loss: 0.708985, acc: 0.484375] 6672: [D loss: 0.705856, acc: 0.541016] [A loss: 0.918921, acc: 0.160156] 6673: [D loss: 0.698848, acc: 0.519531] [A loss: 0.767244, acc: 0.406250] 6674: [D loss: 0.701908, acc: 0.542969] [A loss: 0.879331, acc: 0.214844] 6675: [D loss: 0.702549, acc: 0.511719] [A loss: 0.755815, acc: 0.386719] 6676: [D loss: 0.703940, acc: 0.537109] [A loss: 0.907911, acc: 0.179688] 6677: [D loss: 0.718670, acc: 0.498047] [A loss: 0.777160, acc: 0.359375] 6678: [D loss: 0.712727, acc: 0.501953] [A loss: 0.859419, acc: 0.210938] 6679: [D loss: 0.692992, acc: 0.542969] [A loss: 0.787547, acc: 0.332031] 6680: [D loss: 0.703507, acc: 0.501953] [A loss: 0.834770, acc: 0.261719] 6681: [D loss: 0.709762, acc: 0.503906] [A loss: 0.776184, acc: 0.386719] 6682: [D loss: 0.712080, acc: 0.519531] [A loss: 0.885289, acc: 0.218750] 6683: [D loss: 0.706205, acc: 0.500000] [A loss: 0.752948, acc: 0.402344] 6684: [D loss: 0.698683, acc: 0.529297] [A loss: 0.938578, acc: 0.144531] 6685: [D loss: 0.689845, acc: 0.554688] [A loss: 0.643421, acc: 0.636719] 6686: [D loss: 0.741562, acc: 0.513672] [A loss: 0.950445, acc: 0.152344] 6687: [D loss: 0.703225, acc: 0.507812] [A loss: 0.712318, acc: 0.457031] 6688: [D loss: 0.722837, acc: 0.509766] [A loss: 0.876768, acc: 0.179688] 6689: [D loss: 0.702699, acc: 0.523438] [A loss: 0.761353, acc: 0.386719] 6690: [D loss: 0.713013, acc: 0.519531] [A loss: 0.898812, acc: 0.179688] 6691: [D loss: 0.695483, acc: 0.535156] [A loss: 0.758365, acc: 0.371094] 6692: [D loss: 0.716855, acc: 0.492188] [A loss: 0.886533, acc: 0.156250] 6693: [D loss: 0.681900, acc: 0.589844] [A loss: 0.730747, acc: 0.449219] 6694: [D loss: 0.719453, acc: 0.542969] [A loss: 0.944235, acc: 0.136719] 6695: [D loss: 0.700089, acc: 0.521484] [A loss: 0.785916, acc: 0.347656] 6696: [D loss: 0.707945, acc: 0.507812] [A loss: 0.889622, acc: 0.167969] 6697: [D loss: 0.697296, acc: 0.560547] [A loss: 0.766129, acc: 0.378906] 6698: [D loss: 0.696546, acc: 0.527344] [A loss: 0.904041, acc: 0.167969] 6699: [D loss: 0.699707, acc: 0.550781] [A loss: 0.852983, acc: 0.226562] 6700: [D loss: 0.719699, acc: 0.468750] [A loss: 0.838493, acc: 0.230469] 6701: [D loss: 0.707891, acc: 0.494141] [A loss: 0.840708, acc: 0.265625] 6702: [D loss: 0.702898, acc: 0.519531] [A loss: 0.820298, acc: 0.296875] 6703: [D loss: 0.705854, acc: 0.509766] [A loss: 0.911638, acc: 0.164062] 6704: [D loss: 0.700081, acc: 0.539062] [A loss: 0.816624, acc: 0.250000] 6705: [D loss: 0.724698, acc: 0.513672] [A loss: 1.163862, acc: 0.042969] 6706: [D loss: 0.715709, acc: 0.533203] [A loss: 0.625264, acc: 0.667969] 6707: [D loss: 0.780767, acc: 0.488281] [A loss: 0.980996, acc: 0.117188] 6708: [D loss: 0.701801, acc: 0.500000] [A loss: 0.712492, acc: 0.484375] 6709: [D loss: 0.709630, acc: 0.511719] [A loss: 0.856815, acc: 0.218750] 6710: [D loss: 0.690618, acc: 0.529297] [A loss: 0.771025, acc: 0.359375] 6711: [D loss: 0.718727, acc: 0.511719] [A loss: 0.854615, acc: 0.179688] 6712: [D loss: 0.695012, acc: 0.556641] [A loss: 0.817899, acc: 0.304688] 6713: [D loss: 0.714386, acc: 0.494141] [A loss: 0.775412, acc: 0.367188] 6714: [D loss: 0.718093, acc: 0.529297] [A loss: 0.915997, acc: 0.136719] 6715: [D loss: 0.689023, acc: 0.539062] [A loss: 0.757707, acc: 0.363281] 6716: [D loss: 0.724523, acc: 0.490234] [A loss: 0.889591, acc: 0.183594] 6717: [D loss: 0.715393, acc: 0.513672] [A loss: 0.792253, acc: 0.347656] 6718: [D loss: 0.712025, acc: 0.537109] [A loss: 0.821113, acc: 0.273438] 6719: [D loss: 0.695691, acc: 0.525391] [A loss: 0.789711, acc: 0.363281] 6720: [D loss: 0.713006, acc: 0.517578] [A loss: 0.867029, acc: 0.214844] 6721: [D loss: 0.709146, acc: 0.509766] [A loss: 0.769379, acc: 0.378906] 6722: [D loss: 0.716059, acc: 0.496094] [A loss: 0.909719, acc: 0.128906] 6723: [D loss: 0.696036, acc: 0.529297] [A loss: 0.775248, acc: 0.355469] 6724: [D loss: 0.705311, acc: 0.521484] [A loss: 0.916097, acc: 0.144531] 6725: [D loss: 0.705751, acc: 0.521484] [A loss: 0.774269, acc: 0.347656] 6726: [D loss: 0.716889, acc: 0.496094] [A loss: 0.958239, acc: 0.082031] 6727: [D loss: 0.703843, acc: 0.507812] [A loss: 0.707135, acc: 0.500000] 6728: [D loss: 0.713753, acc: 0.523438] [A loss: 0.977744, acc: 0.109375] 6729: [D loss: 0.699465, acc: 0.527344] [A loss: 0.754116, acc: 0.394531] 6730: [D loss: 0.718265, acc: 0.537109] [A loss: 1.044142, acc: 0.078125] 6731: [D loss: 0.717769, acc: 0.501953] [A loss: 0.674700, acc: 0.558594] 6732: [D loss: 0.721013, acc: 0.505859] [A loss: 0.898311, acc: 0.171875] 6733: [D loss: 0.707444, acc: 0.501953] [A loss: 0.718163, acc: 0.460938] 6734: [D loss: 0.709218, acc: 0.539062] [A loss: 0.939257, acc: 0.125000] 6735: [D loss: 0.698098, acc: 0.509766] [A loss: 0.744935, acc: 0.421875] 6736: [D loss: 0.703288, acc: 0.525391] [A loss: 0.887453, acc: 0.148438] 6737: [D loss: 0.705470, acc: 0.513672] [A loss: 0.781851, acc: 0.324219] 6738: [D loss: 0.722454, acc: 0.517578] [A loss: 0.911507, acc: 0.171875] 6739: [D loss: 0.703078, acc: 0.519531] [A loss: 0.727907, acc: 0.472656] 6740: [D loss: 0.729679, acc: 0.496094] [A loss: 0.909494, acc: 0.144531] 6741: [D loss: 0.696701, acc: 0.533203] [A loss: 0.748195, acc: 0.406250] 6742: [D loss: 0.725182, acc: 0.496094] [A loss: 0.907186, acc: 0.160156] 6743: [D loss: 0.713871, acc: 0.501953] [A loss: 0.798535, acc: 0.289062] 6744: [D loss: 0.706850, acc: 0.517578] [A loss: 0.884350, acc: 0.199219] 6745: [D loss: 0.712415, acc: 0.507812] [A loss: 0.731083, acc: 0.425781] 6746: [D loss: 0.703229, acc: 0.521484] [A loss: 0.876571, acc: 0.167969] 6747: [D loss: 0.703664, acc: 0.517578] [A loss: 0.724882, acc: 0.468750] 6748: [D loss: 0.726853, acc: 0.490234] [A loss: 0.915048, acc: 0.125000] 6749: [D loss: 0.701881, acc: 0.507812] [A loss: 0.693983, acc: 0.511719] 6750: [D loss: 0.718787, acc: 0.496094] [A loss: 0.952429, acc: 0.085938] 6751: [D loss: 0.699156, acc: 0.521484] [A loss: 0.727716, acc: 0.468750] 6752: [D loss: 0.713668, acc: 0.507812] [A loss: 0.909645, acc: 0.132812] 6753: [D loss: 0.697450, acc: 0.541016] [A loss: 0.758126, acc: 0.410156] 6754: [D loss: 0.721498, acc: 0.494141] [A loss: 0.921912, acc: 0.160156] 6755: [D loss: 0.704045, acc: 0.494141] [A loss: 0.712636, acc: 0.480469] 6756: [D loss: 0.709223, acc: 0.531250] [A loss: 0.899436, acc: 0.171875] 6757: [D loss: 0.690635, acc: 0.529297] [A loss: 0.757174, acc: 0.417969] 6758: [D loss: 0.717049, acc: 0.492188] [A loss: 0.873680, acc: 0.207031] 6759: [D loss: 0.700215, acc: 0.515625] [A loss: 0.773998, acc: 0.359375] 6760: [D loss: 0.697373, acc: 0.519531] [A loss: 0.901793, acc: 0.148438] 6761: [D loss: 0.690218, acc: 0.535156] [A loss: 0.764904, acc: 0.382812] 6762: [D loss: 0.701094, acc: 0.525391] [A loss: 0.847194, acc: 0.226562] 6763: [D loss: 0.707993, acc: 0.529297] [A loss: 0.861099, acc: 0.207031] 6764: [D loss: 0.716177, acc: 0.515625] [A loss: 0.919682, acc: 0.191406] 6765: [D loss: 0.697369, acc: 0.548828] [A loss: 0.693722, acc: 0.542969] 6766: [D loss: 0.719823, acc: 0.501953] [A loss: 0.951981, acc: 0.152344] 6767: [D loss: 0.698267, acc: 0.505859] [A loss: 0.721099, acc: 0.464844] 6768: [D loss: 0.703690, acc: 0.529297] [A loss: 0.870296, acc: 0.226562] 6769: [D loss: 0.714277, acc: 0.498047] [A loss: 0.778231, acc: 0.339844] 6770: [D loss: 0.725817, acc: 0.501953] [A loss: 0.878438, acc: 0.191406] 6771: [D loss: 0.700496, acc: 0.523438] [A loss: 0.727117, acc: 0.441406] 6772: [D loss: 0.719719, acc: 0.507812] [A loss: 0.943461, acc: 0.148438] 6773: [D loss: 0.712150, acc: 0.498047] [A loss: 0.719944, acc: 0.410156] 6774: [D loss: 0.716109, acc: 0.523438] [A loss: 0.935787, acc: 0.148438] 6775: [D loss: 0.711004, acc: 0.501953] [A loss: 0.729360, acc: 0.453125] 6776: [D loss: 0.717972, acc: 0.515625] [A loss: 0.906447, acc: 0.148438] 6777: [D loss: 0.688622, acc: 0.564453] [A loss: 0.693956, acc: 0.554688] 6778: [D loss: 0.726028, acc: 0.501953] [A loss: 0.894169, acc: 0.191406] 6779: [D loss: 0.703003, acc: 0.523438] [A loss: 0.731265, acc: 0.425781] 6780: [D loss: 0.724371, acc: 0.523438] [A loss: 0.924779, acc: 0.152344] 6781: [D loss: 0.695884, acc: 0.550781] [A loss: 0.712448, acc: 0.503906] 6782: [D loss: 0.714527, acc: 0.505859] [A loss: 0.926703, acc: 0.140625] 6783: [D loss: 0.690102, acc: 0.548828] [A loss: 0.728793, acc: 0.445312] 6784: [D loss: 0.725326, acc: 0.511719] [A loss: 0.860918, acc: 0.234375] 6785: [D loss: 0.696842, acc: 0.535156] [A loss: 0.719047, acc: 0.468750] 6786: [D loss: 0.734495, acc: 0.488281] [A loss: 0.881388, acc: 0.214844] 6787: [D loss: 0.704694, acc: 0.507812] [A loss: 0.738031, acc: 0.437500] 6788: [D loss: 0.727976, acc: 0.494141] [A loss: 0.885742, acc: 0.171875] 6789: [D loss: 0.702459, acc: 0.501953] [A loss: 0.733451, acc: 0.472656] 6790: [D loss: 0.730381, acc: 0.486328] [A loss: 0.921395, acc: 0.144531] 6791: [D loss: 0.710093, acc: 0.488281] [A loss: 0.715886, acc: 0.468750] 6792: [D loss: 0.710027, acc: 0.517578] [A loss: 0.938618, acc: 0.140625] 6793: [D loss: 0.697421, acc: 0.517578] [A loss: 0.744250, acc: 0.417969] 6794: [D loss: 0.720465, acc: 0.486328] [A loss: 0.862197, acc: 0.210938] 6795: [D loss: 0.709952, acc: 0.511719] [A loss: 0.816766, acc: 0.300781] 6796: [D loss: 0.701844, acc: 0.535156] [A loss: 0.909726, acc: 0.148438] 6797: [D loss: 0.687471, acc: 0.564453] [A loss: 0.784040, acc: 0.335938] 6798: [D loss: 0.703418, acc: 0.535156] [A loss: 0.890530, acc: 0.167969] 6799: [D loss: 0.690895, acc: 0.537109] [A loss: 0.742974, acc: 0.441406] 6800: [D loss: 0.718890, acc: 0.503906] [A loss: 0.976956, acc: 0.113281] 6801: [D loss: 0.691127, acc: 0.548828] [A loss: 0.730108, acc: 0.437500] 6802: [D loss: 0.712883, acc: 0.501953] [A loss: 0.877926, acc: 0.214844] 6803: [D loss: 0.699263, acc: 0.529297] [A loss: 0.803772, acc: 0.304688] 6804: [D loss: 0.701497, acc: 0.525391] [A loss: 0.800548, acc: 0.355469] 6805: [D loss: 0.702630, acc: 0.513672] [A loss: 0.791045, acc: 0.308594] 6806: [D loss: 0.694430, acc: 0.542969] [A loss: 0.828139, acc: 0.289062] 6807: [D loss: 0.706388, acc: 0.498047] [A loss: 0.791297, acc: 0.332031] 6808: [D loss: 0.698394, acc: 0.496094] [A loss: 0.923632, acc: 0.171875] 6809: [D loss: 0.698195, acc: 0.529297] [A loss: 0.734119, acc: 0.453125] 6810: [D loss: 0.713646, acc: 0.519531] [A loss: 0.949992, acc: 0.132812] 6811: [D loss: 0.703010, acc: 0.537109] [A loss: 0.787339, acc: 0.359375] 6812: [D loss: 0.696667, acc: 0.546875] [A loss: 0.900588, acc: 0.167969] 6813: [D loss: 0.708808, acc: 0.503906] [A loss: 0.804100, acc: 0.324219] 6814: [D loss: 0.697100, acc: 0.541016] [A loss: 0.874183, acc: 0.207031] 6815: [D loss: 0.694887, acc: 0.541016] [A loss: 0.815403, acc: 0.234375] 6816: [D loss: 0.699005, acc: 0.523438] [A loss: 0.853865, acc: 0.218750] 6817: [D loss: 0.692271, acc: 0.576172] [A loss: 0.780829, acc: 0.363281] 6818: [D loss: 0.714940, acc: 0.513672] [A loss: 0.986039, acc: 0.097656] 6819: [D loss: 0.694901, acc: 0.533203] [A loss: 0.713976, acc: 0.492188] 6820: [D loss: 0.707332, acc: 0.525391] [A loss: 0.968170, acc: 0.105469] 6821: [D loss: 0.701921, acc: 0.544922] [A loss: 0.700954, acc: 0.488281] 6822: [D loss: 0.718598, acc: 0.511719] [A loss: 0.911606, acc: 0.179688] 6823: [D loss: 0.702135, acc: 0.513672] [A loss: 0.740842, acc: 0.449219] 6824: [D loss: 0.713584, acc: 0.517578] [A loss: 0.869920, acc: 0.207031] 6825: [D loss: 0.705549, acc: 0.533203] [A loss: 0.785237, acc: 0.351562] 6826: [D loss: 0.712755, acc: 0.527344] [A loss: 0.960159, acc: 0.085938] 6827: [D loss: 0.691207, acc: 0.546875] [A loss: 0.704348, acc: 0.496094] 6828: [D loss: 0.717451, acc: 0.531250] [A loss: 0.999790, acc: 0.113281] 6829: [D loss: 0.708119, acc: 0.511719] [A loss: 0.715899, acc: 0.484375] 6830: [D loss: 0.711714, acc: 0.503906] [A loss: 0.885385, acc: 0.207031] 6831: [D loss: 0.704841, acc: 0.511719] [A loss: 0.728073, acc: 0.492188] 6832: [D loss: 0.740366, acc: 0.488281] [A loss: 0.934579, acc: 0.125000] 6833: [D loss: 0.708261, acc: 0.509766] [A loss: 0.703214, acc: 0.527344] 6834: [D loss: 0.725288, acc: 0.492188] [A loss: 0.901875, acc: 0.148438] 6835: [D loss: 0.696596, acc: 0.531250] [A loss: 0.690810, acc: 0.535156] 6836: [D loss: 0.715905, acc: 0.523438] [A loss: 0.911526, acc: 0.148438] 6837: [D loss: 0.706827, acc: 0.484375] [A loss: 0.737453, acc: 0.453125] 6838: [D loss: 0.725281, acc: 0.505859] [A loss: 0.953420, acc: 0.136719] 6839: [D loss: 0.701846, acc: 0.517578] [A loss: 0.799103, acc: 0.312500] 6840: [D loss: 0.693999, acc: 0.525391] [A loss: 0.877490, acc: 0.183594] 6841: [D loss: 0.704312, acc: 0.521484] [A loss: 0.847103, acc: 0.281250] 6842: [D loss: 0.703162, acc: 0.527344] [A loss: 0.776962, acc: 0.339844] 6843: [D loss: 0.709454, acc: 0.501953] [A loss: 0.859345, acc: 0.226562] 6844: [D loss: 0.697002, acc: 0.511719] [A loss: 0.842781, acc: 0.269531] 6845: [D loss: 0.701139, acc: 0.503906] [A loss: 0.856710, acc: 0.246094] 6846: [D loss: 0.704819, acc: 0.511719] [A loss: 0.833244, acc: 0.234375] 6847: [D loss: 0.717258, acc: 0.501953] [A loss: 0.879539, acc: 0.214844] 6848: [D loss: 0.698093, acc: 0.564453] [A loss: 0.884080, acc: 0.207031] 6849: [D loss: 0.698803, acc: 0.521484] [A loss: 0.866629, acc: 0.207031] 6850: [D loss: 0.714189, acc: 0.474609] [A loss: 0.936395, acc: 0.167969] 6851: [D loss: 0.696249, acc: 0.525391] [A loss: 0.703632, acc: 0.496094] 6852: [D loss: 0.710659, acc: 0.529297] [A loss: 1.028093, acc: 0.050781] 6853: [D loss: 0.697179, acc: 0.535156] [A loss: 0.701227, acc: 0.484375] 6854: [D loss: 0.740409, acc: 0.468750] [A loss: 0.911267, acc: 0.109375] 6855: [D loss: 0.703019, acc: 0.503906] [A loss: 0.754867, acc: 0.363281] 6856: [D loss: 0.715313, acc: 0.490234] [A loss: 0.940157, acc: 0.152344] 6857: [D loss: 0.699413, acc: 0.527344] [A loss: 0.738544, acc: 0.472656] 6858: [D loss: 0.703309, acc: 0.537109] [A loss: 0.850980, acc: 0.222656] 6859: [D loss: 0.694437, acc: 0.544922] [A loss: 0.765255, acc: 0.398438] 6860: [D loss: 0.711549, acc: 0.531250] [A loss: 0.878976, acc: 0.171875] 6861: [D loss: 0.698678, acc: 0.525391] [A loss: 0.733824, acc: 0.449219] 6862: [D loss: 0.713540, acc: 0.507812] [A loss: 0.860247, acc: 0.222656] 6863: [D loss: 0.703923, acc: 0.498047] [A loss: 0.877055, acc: 0.203125] 6864: [D loss: 0.699791, acc: 0.513672] [A loss: 0.807832, acc: 0.289062] 6865: [D loss: 0.697084, acc: 0.519531] [A loss: 0.870422, acc: 0.203125] 6866: [D loss: 0.688697, acc: 0.539062] [A loss: 0.812157, acc: 0.339844] 6867: [D loss: 0.714904, acc: 0.492188] [A loss: 0.825696, acc: 0.316406] 6868: [D loss: 0.701685, acc: 0.535156] [A loss: 0.883684, acc: 0.207031] 6869: [D loss: 0.694534, acc: 0.527344] [A loss: 0.817400, acc: 0.281250] 6870: [D loss: 0.720648, acc: 0.509766] [A loss: 0.826216, acc: 0.281250] 6871: [D loss: 0.704648, acc: 0.503906] [A loss: 0.868613, acc: 0.199219] 6872: [D loss: 0.712750, acc: 0.501953] [A loss: 0.894359, acc: 0.187500] 6873: [D loss: 0.708880, acc: 0.492188] [A loss: 0.823157, acc: 0.285156] 6874: [D loss: 0.716152, acc: 0.519531] [A loss: 0.928101, acc: 0.113281] 6875: [D loss: 0.707456, acc: 0.476562] [A loss: 0.738661, acc: 0.449219] 6876: [D loss: 0.710882, acc: 0.509766] [A loss: 0.901964, acc: 0.171875] 6877: [D loss: 0.702767, acc: 0.513672] [A loss: 0.810581, acc: 0.304688] 6878: [D loss: 0.711994, acc: 0.492188] [A loss: 1.044535, acc: 0.078125] 6879: [D loss: 0.699999, acc: 0.490234] [A loss: 0.662959, acc: 0.574219] 6880: [D loss: 0.739545, acc: 0.490234] [A loss: 0.953327, acc: 0.140625] 6881: [D loss: 0.709566, acc: 0.515625] [A loss: 0.672578, acc: 0.574219] 6882: [D loss: 0.718575, acc: 0.503906] [A loss: 0.993432, acc: 0.117188] 6883: [D loss: 0.699363, acc: 0.521484] [A loss: 0.770943, acc: 0.371094] 6884: [D loss: 0.734837, acc: 0.484375] [A loss: 0.876760, acc: 0.238281] 6885: [D loss: 0.701877, acc: 0.542969] [A loss: 0.734699, acc: 0.476562] 6886: [D loss: 0.713097, acc: 0.511719] [A loss: 0.909965, acc: 0.167969] 6887: [D loss: 0.697130, acc: 0.544922] [A loss: 0.743131, acc: 0.445312] 6888: [D loss: 0.705146, acc: 0.519531] [A loss: 0.945010, acc: 0.132812] 6889: [D loss: 0.696958, acc: 0.539062] [A loss: 0.725586, acc: 0.453125] 6890: [D loss: 0.720627, acc: 0.525391] [A loss: 0.922360, acc: 0.140625] 6891: [D loss: 0.707878, acc: 0.517578] [A loss: 0.721378, acc: 0.460938] 6892: [D loss: 0.710826, acc: 0.537109] [A loss: 0.983410, acc: 0.105469] 6893: [D loss: 0.697584, acc: 0.494141] [A loss: 0.717129, acc: 0.453125] 6894: [D loss: 0.706623, acc: 0.533203] [A loss: 0.907908, acc: 0.171875] 6895: [D loss: 0.707699, acc: 0.505859] [A loss: 0.797158, acc: 0.316406] 6896: [D loss: 0.707595, acc: 0.521484] [A loss: 0.859619, acc: 0.226562] 6897: [D loss: 0.697615, acc: 0.529297] [A loss: 0.802054, acc: 0.316406] 6898: [D loss: 0.709151, acc: 0.505859] [A loss: 0.833338, acc: 0.292969] 6899: [D loss: 0.714493, acc: 0.486328] [A loss: 0.798189, acc: 0.347656] 6900: [D loss: 0.697935, acc: 0.539062] [A loss: 0.811246, acc: 0.277344] 6901: [D loss: 0.698722, acc: 0.541016] [A loss: 0.812014, acc: 0.281250] 6902: [D loss: 0.702440, acc: 0.517578] [A loss: 0.881431, acc: 0.214844] 6903: [D loss: 0.696886, acc: 0.529297] [A loss: 0.724648, acc: 0.515625] 6904: [D loss: 0.723609, acc: 0.511719] [A loss: 1.010577, acc: 0.058594] 6905: [D loss: 0.705537, acc: 0.507812] [A loss: 0.681617, acc: 0.566406] 6906: [D loss: 0.736537, acc: 0.503906] [A loss: 0.869465, acc: 0.207031] 6907: [D loss: 0.701111, acc: 0.533203] [A loss: 0.904593, acc: 0.167969] 6908: [D loss: 0.702485, acc: 0.501953] [A loss: 0.695135, acc: 0.531250] 6909: [D loss: 0.722727, acc: 0.511719] [A loss: 0.936005, acc: 0.132812] 6910: [D loss: 0.707861, acc: 0.472656] [A loss: 0.724562, acc: 0.464844] 6911: [D loss: 0.714264, acc: 0.517578] [A loss: 0.903151, acc: 0.136719] 6912: [D loss: 0.686108, acc: 0.554688] [A loss: 0.744933, acc: 0.406250] 6913: [D loss: 0.715641, acc: 0.513672] [A loss: 0.808302, acc: 0.312500] 6914: [D loss: 0.703579, acc: 0.515625] [A loss: 0.754020, acc: 0.398438] 6915: [D loss: 0.705748, acc: 0.507812] [A loss: 0.873504, acc: 0.242188] 6916: [D loss: 0.691742, acc: 0.566406] [A loss: 0.810974, acc: 0.300781] 6917: [D loss: 0.710192, acc: 0.515625] [A loss: 0.840284, acc: 0.246094] 6918: [D loss: 0.683728, acc: 0.576172] [A loss: 0.793978, acc: 0.300781] 6919: [D loss: 0.702262, acc: 0.537109] [A loss: 0.870265, acc: 0.195312] 6920: [D loss: 0.682563, acc: 0.558594] [A loss: 0.805024, acc: 0.316406] 6921: [D loss: 0.710646, acc: 0.513672] [A loss: 0.876258, acc: 0.222656] 6922: [D loss: 0.702842, acc: 0.519531] [A loss: 0.809471, acc: 0.343750] 6923: [D loss: 0.718581, acc: 0.507812] [A loss: 0.898005, acc: 0.187500] 6924: [D loss: 0.690282, acc: 0.529297] [A loss: 0.778203, acc: 0.335938] 6925: [D loss: 0.734217, acc: 0.501953] [A loss: 1.133812, acc: 0.066406] 6926: [D loss: 0.733639, acc: 0.488281] [A loss: 0.679974, acc: 0.550781] 6927: [D loss: 0.744612, acc: 0.507812] [A loss: 0.957802, acc: 0.097656] 6928: [D loss: 0.689837, acc: 0.539062] [A loss: 0.688541, acc: 0.554688] 6929: [D loss: 0.712602, acc: 0.513672] [A loss: 0.836261, acc: 0.285156] 6930: [D loss: 0.687723, acc: 0.564453] [A loss: 0.765679, acc: 0.386719] 6931: [D loss: 0.703305, acc: 0.542969] [A loss: 0.805813, acc: 0.312500] 6932: [D loss: 0.723451, acc: 0.474609] [A loss: 0.823266, acc: 0.269531] 6933: [D loss: 0.699755, acc: 0.523438] [A loss: 0.763512, acc: 0.363281] 6934: [D loss: 0.692862, acc: 0.539062] [A loss: 0.840364, acc: 0.273438] 6935: [D loss: 0.708929, acc: 0.498047] [A loss: 0.798676, acc: 0.343750] 6936: [D loss: 0.711036, acc: 0.505859] [A loss: 0.868875, acc: 0.222656] 6937: [D loss: 0.694601, acc: 0.527344] [A loss: 0.779194, acc: 0.339844] 6938: [D loss: 0.701399, acc: 0.537109] [A loss: 0.886556, acc: 0.152344] 6939: [D loss: 0.705756, acc: 0.509766] [A loss: 0.732539, acc: 0.437500] 6940: [D loss: 0.727301, acc: 0.509766] [A loss: 1.058507, acc: 0.054688] 6941: [D loss: 0.729707, acc: 0.474609] [A loss: 0.790312, acc: 0.320312] 6942: [D loss: 0.714046, acc: 0.501953] [A loss: 0.856089, acc: 0.234375] 6943: [D loss: 0.706126, acc: 0.525391] [A loss: 0.763824, acc: 0.363281] 6944: [D loss: 0.702018, acc: 0.519531] [A loss: 0.837072, acc: 0.242188] 6945: [D loss: 0.714744, acc: 0.494141] [A loss: 0.810296, acc: 0.296875] 6946: [D loss: 0.706636, acc: 0.515625] [A loss: 0.838666, acc: 0.250000] 6947: [D loss: 0.698437, acc: 0.544922] [A loss: 0.729369, acc: 0.449219] 6948: [D loss: 0.715768, acc: 0.507812] [A loss: 0.878302, acc: 0.167969] 6949: [D loss: 0.701333, acc: 0.531250] [A loss: 0.835296, acc: 0.261719] 6950: [D loss: 0.695183, acc: 0.539062] [A loss: 0.853019, acc: 0.230469] 6951: [D loss: 0.704537, acc: 0.552734] [A loss: 0.856219, acc: 0.222656] 6952: [D loss: 0.693240, acc: 0.519531] [A loss: 0.842063, acc: 0.242188] 6953: [D loss: 0.715758, acc: 0.468750] [A loss: 0.947675, acc: 0.113281] 6954: [D loss: 0.701887, acc: 0.523438] [A loss: 0.703140, acc: 0.492188] 6955: [D loss: 0.734942, acc: 0.500000] [A loss: 1.038463, acc: 0.097656] 6956: [D loss: 0.710272, acc: 0.513672] [A loss: 0.668253, acc: 0.585938] 6957: [D loss: 0.728567, acc: 0.505859] [A loss: 0.908639, acc: 0.183594] 6958: [D loss: 0.692498, acc: 0.513672] [A loss: 0.722592, acc: 0.476562] 6959: [D loss: 0.705166, acc: 0.529297] [A loss: 0.867195, acc: 0.207031] 6960: [D loss: 0.692208, acc: 0.519531] [A loss: 0.755433, acc: 0.410156] 6961: [D loss: 0.716776, acc: 0.529297] [A loss: 0.898893, acc: 0.156250] 6962: [D loss: 0.704000, acc: 0.513672] [A loss: 0.803274, acc: 0.300781] 6963: [D loss: 0.705497, acc: 0.509766] [A loss: 0.875349, acc: 0.191406] 6964: [D loss: 0.695292, acc: 0.542969] [A loss: 0.755197, acc: 0.445312] 6965: [D loss: 0.715249, acc: 0.533203] [A loss: 0.916966, acc: 0.128906] 6966: [D loss: 0.710287, acc: 0.527344] [A loss: 0.725124, acc: 0.453125] 6967: [D loss: 0.728013, acc: 0.498047] [A loss: 0.963349, acc: 0.128906] 6968: [D loss: 0.703520, acc: 0.517578] [A loss: 0.730899, acc: 0.464844] 6969: [D loss: 0.729922, acc: 0.505859] [A loss: 0.885739, acc: 0.171875] 6970: [D loss: 0.696151, acc: 0.521484] [A loss: 0.784341, acc: 0.339844] 6971: [D loss: 0.722652, acc: 0.501953] [A loss: 0.936039, acc: 0.156250] 6972: [D loss: 0.712812, acc: 0.525391] [A loss: 0.744736, acc: 0.425781] 6973: [D loss: 0.716608, acc: 0.511719] [A loss: 0.860921, acc: 0.210938] 6974: [D loss: 0.694168, acc: 0.515625] [A loss: 0.763181, acc: 0.406250] 6975: [D loss: 0.706827, acc: 0.542969] [A loss: 0.872788, acc: 0.226562] 6976: [D loss: 0.699971, acc: 0.529297] [A loss: 0.765523, acc: 0.382812] 6977: [D loss: 0.712350, acc: 0.527344] [A loss: 0.887241, acc: 0.214844] 6978: [D loss: 0.699385, acc: 0.537109] [A loss: 0.774412, acc: 0.410156] 6979: [D loss: 0.699607, acc: 0.539062] [A loss: 0.905516, acc: 0.179688] 6980: [D loss: 0.693594, acc: 0.527344] [A loss: 0.715923, acc: 0.476562] 6981: [D loss: 0.745391, acc: 0.498047] [A loss: 1.107073, acc: 0.039062] 6982: [D loss: 0.704012, acc: 0.531250] [A loss: 0.706787, acc: 0.519531] 6983: [D loss: 0.760921, acc: 0.515625] [A loss: 0.975642, acc: 0.101562] 6984: [D loss: 0.699767, acc: 0.535156] [A loss: 0.709053, acc: 0.511719] 6985: [D loss: 0.717591, acc: 0.521484] [A loss: 0.864369, acc: 0.234375] 6986: [D loss: 0.710270, acc: 0.492188] [A loss: 0.761477, acc: 0.417969] 6987: [D loss: 0.702290, acc: 0.533203] [A loss: 0.788446, acc: 0.324219] 6988: [D loss: 0.713319, acc: 0.482422] [A loss: 0.844487, acc: 0.234375] 6989: [D loss: 0.712408, acc: 0.505859] [A loss: 0.817208, acc: 0.289062] 6990: [D loss: 0.706865, acc: 0.542969] [A loss: 0.762840, acc: 0.406250] 6991: [D loss: 0.717834, acc: 0.505859] [A loss: 0.923459, acc: 0.160156] 6992: [D loss: 0.710949, acc: 0.494141] [A loss: 0.772638, acc: 0.347656] 6993: [D loss: 0.704797, acc: 0.527344] [A loss: 0.855398, acc: 0.199219] 6994: [D loss: 0.705670, acc: 0.519531] [A loss: 0.842202, acc: 0.261719] 6995: [D loss: 0.700177, acc: 0.517578] [A loss: 0.859367, acc: 0.214844] 6996: [D loss: 0.702170, acc: 0.500000] [A loss: 0.933269, acc: 0.125000] 6997: [D loss: 0.687103, acc: 0.550781] [A loss: 0.711214, acc: 0.496094] 6998: [D loss: 0.726218, acc: 0.496094] [A loss: 0.884450, acc: 0.214844] 6999: [D loss: 0.702099, acc: 0.539062] [A loss: 0.781033, acc: 0.367188] 7000: [D loss: 0.727546, acc: 0.513672] [A loss: 0.898085, acc: 0.171875] 7001: [D loss: 0.700112, acc: 0.556641] [A loss: 0.792349, acc: 0.355469] 7002: [D loss: 0.710151, acc: 0.513672] [A loss: 0.962650, acc: 0.117188] 7003: [D loss: 0.709579, acc: 0.505859] [A loss: 0.659403, acc: 0.582031] 7004: [D loss: 0.756190, acc: 0.517578] [A loss: 1.049695, acc: 0.070312] 7005: [D loss: 0.719244, acc: 0.505859] [A loss: 0.653572, acc: 0.593750] 7006: [D loss: 0.779305, acc: 0.478516] [A loss: 0.974003, acc: 0.097656] 7007: [D loss: 0.696213, acc: 0.548828] [A loss: 0.714752, acc: 0.488281] 7008: [D loss: 0.741101, acc: 0.464844] [A loss: 0.858097, acc: 0.207031] 7009: [D loss: 0.699124, acc: 0.529297] [A loss: 0.805362, acc: 0.292969] 7010: [D loss: 0.698377, acc: 0.529297] [A loss: 0.802551, acc: 0.320312] 7011: [D loss: 0.704625, acc: 0.542969] [A loss: 0.779561, acc: 0.359375] 7012: [D loss: 0.712120, acc: 0.529297] [A loss: 0.804539, acc: 0.273438] 7013: [D loss: 0.717436, acc: 0.507812] [A loss: 0.782099, acc: 0.316406] 7014: [D loss: 0.702583, acc: 0.542969] [A loss: 0.819297, acc: 0.246094] 7015: [D loss: 0.689577, acc: 0.548828] [A loss: 0.795472, acc: 0.355469] 7016: [D loss: 0.710516, acc: 0.527344] [A loss: 0.849526, acc: 0.238281] 7017: [D loss: 0.707269, acc: 0.507812] [A loss: 0.767901, acc: 0.378906] 7018: [D loss: 0.704821, acc: 0.523438] [A loss: 0.904594, acc: 0.164062] 7019: [D loss: 0.697318, acc: 0.541016] [A loss: 0.754402, acc: 0.410156] 7020: [D loss: 0.697507, acc: 0.531250] [A loss: 0.877866, acc: 0.179688] 7021: [D loss: 0.700654, acc: 0.492188] [A loss: 0.716532, acc: 0.500000] 7022: [D loss: 0.724725, acc: 0.503906] [A loss: 0.981091, acc: 0.117188] 7023: [D loss: 0.702019, acc: 0.519531] [A loss: 0.726624, acc: 0.429688] 7024: [D loss: 0.717088, acc: 0.513672] [A loss: 0.875135, acc: 0.203125] 7025: [D loss: 0.703418, acc: 0.474609] [A loss: 0.710825, acc: 0.488281] 7026: [D loss: 0.713254, acc: 0.521484] [A loss: 0.978605, acc: 0.101562] 7027: [D loss: 0.719183, acc: 0.478516] [A loss: 0.721247, acc: 0.500000] 7028: [D loss: 0.718468, acc: 0.511719] [A loss: 0.962772, acc: 0.144531] 7029: [D loss: 0.717662, acc: 0.486328] [A loss: 0.668538, acc: 0.574219] 7030: [D loss: 0.717148, acc: 0.546875] [A loss: 0.895813, acc: 0.187500] 7031: [D loss: 0.705912, acc: 0.525391] [A loss: 0.687871, acc: 0.503906] 7032: [D loss: 0.708321, acc: 0.544922] [A loss: 0.896019, acc: 0.187500] 7033: [D loss: 0.709297, acc: 0.503906] [A loss: 0.725956, acc: 0.484375] 7034: [D loss: 0.718451, acc: 0.533203] [A loss: 0.944425, acc: 0.132812] 7035: [D loss: 0.704789, acc: 0.498047] [A loss: 0.716581, acc: 0.476562] 7036: [D loss: 0.727166, acc: 0.519531] [A loss: 0.958726, acc: 0.117188] 7037: [D loss: 0.692159, acc: 0.517578] [A loss: 0.736964, acc: 0.421875] 7038: [D loss: 0.718649, acc: 0.527344] [A loss: 0.975780, acc: 0.089844] 7039: [D loss: 0.698931, acc: 0.507812] [A loss: 0.715652, acc: 0.507812] 7040: [D loss: 0.717287, acc: 0.527344] [A loss: 0.915690, acc: 0.164062] 7041: [D loss: 0.697064, acc: 0.521484] [A loss: 0.764454, acc: 0.367188] 7042: [D loss: 0.718977, acc: 0.519531] [A loss: 0.884605, acc: 0.214844] 7043: [D loss: 0.705394, acc: 0.521484] [A loss: 0.748829, acc: 0.449219] 7044: [D loss: 0.707664, acc: 0.507812] [A loss: 0.912546, acc: 0.167969] 7045: [D loss: 0.710848, acc: 0.490234] [A loss: 0.745793, acc: 0.417969] 7046: [D loss: 0.722002, acc: 0.521484] [A loss: 0.979228, acc: 0.089844] 7047: [D loss: 0.688633, acc: 0.521484] [A loss: 0.738618, acc: 0.429688] 7048: [D loss: 0.706274, acc: 0.533203] [A loss: 0.965392, acc: 0.101562] 7049: [D loss: 0.700126, acc: 0.507812] [A loss: 0.702841, acc: 0.488281] 7050: [D loss: 0.706640, acc: 0.519531] [A loss: 0.912388, acc: 0.144531] 7051: [D loss: 0.696868, acc: 0.517578] [A loss: 0.703724, acc: 0.527344] 7052: [D loss: 0.722314, acc: 0.500000] [A loss: 0.957146, acc: 0.117188] 7053: [D loss: 0.718557, acc: 0.492188] [A loss: 0.734537, acc: 0.441406] 7054: [D loss: 0.724237, acc: 0.505859] [A loss: 0.961129, acc: 0.136719] 7055: [D loss: 0.708559, acc: 0.521484] [A loss: 0.750873, acc: 0.390625] 7056: [D loss: 0.720506, acc: 0.535156] [A loss: 0.930158, acc: 0.160156] 7057: [D loss: 0.708566, acc: 0.501953] [A loss: 0.738979, acc: 0.441406] 7058: [D loss: 0.710084, acc: 0.515625] [A loss: 0.902161, acc: 0.171875] 7059: [D loss: 0.705375, acc: 0.542969] [A loss: 0.739639, acc: 0.433594] 7060: [D loss: 0.702238, acc: 0.537109] [A loss: 0.887410, acc: 0.160156] 7061: [D loss: 0.711171, acc: 0.511719] [A loss: 0.730460, acc: 0.402344] 7062: [D loss: 0.701619, acc: 0.519531] [A loss: 0.867128, acc: 0.195312] 7063: [D loss: 0.683795, acc: 0.560547] [A loss: 0.771950, acc: 0.363281] 7064: [D loss: 0.710510, acc: 0.525391] [A loss: 0.981094, acc: 0.144531] 7065: [D loss: 0.703549, acc: 0.519531] [A loss: 0.735705, acc: 0.449219] 7066: [D loss: 0.729908, acc: 0.478516] [A loss: 0.900371, acc: 0.156250] 7067: [D loss: 0.700197, acc: 0.541016] [A loss: 0.715928, acc: 0.488281] 7068: [D loss: 0.717247, acc: 0.529297] [A loss: 0.893429, acc: 0.183594] 7069: [D loss: 0.698140, acc: 0.513672] [A loss: 0.739561, acc: 0.402344] 7070: [D loss: 0.731178, acc: 0.464844] [A loss: 0.924433, acc: 0.140625] 7071: [D loss: 0.707546, acc: 0.525391] [A loss: 0.661364, acc: 0.593750] 7072: [D loss: 0.743529, acc: 0.501953] [A loss: 1.008826, acc: 0.062500] 7073: [D loss: 0.694547, acc: 0.533203] [A loss: 0.720676, acc: 0.476562] 7074: [D loss: 0.727579, acc: 0.511719] [A loss: 0.903533, acc: 0.156250] 7075: [D loss: 0.698868, acc: 0.527344] [A loss: 0.761573, acc: 0.406250] 7076: [D loss: 0.715252, acc: 0.517578] [A loss: 0.935488, acc: 0.121094] 7077: [D loss: 0.712893, acc: 0.505859] [A loss: 0.784301, acc: 0.332031] 7078: [D loss: 0.716540, acc: 0.517578] [A loss: 0.979199, acc: 0.109375] 7079: [D loss: 0.691087, acc: 0.550781] [A loss: 0.682883, acc: 0.570312] 7080: [D loss: 0.721649, acc: 0.529297] [A loss: 1.100396, acc: 0.039062] 7081: [D loss: 0.702921, acc: 0.515625] [A loss: 0.692179, acc: 0.535156] 7082: [D loss: 0.714530, acc: 0.515625] [A loss: 0.932755, acc: 0.125000] 7083: [D loss: 0.698602, acc: 0.503906] [A loss: 0.786939, acc: 0.332031] 7084: [D loss: 0.707790, acc: 0.505859] [A loss: 0.835682, acc: 0.277344] 7085: [D loss: 0.719800, acc: 0.488281] [A loss: 0.827521, acc: 0.250000] 7086: [D loss: 0.718676, acc: 0.507812] [A loss: 0.859066, acc: 0.226562] 7087: [D loss: 0.684232, acc: 0.552734] [A loss: 0.788955, acc: 0.339844] 7088: [D loss: 0.711035, acc: 0.511719] [A loss: 0.872824, acc: 0.230469] 7089: [D loss: 0.698151, acc: 0.523438] [A loss: 0.775684, acc: 0.359375] 7090: [D loss: 0.713675, acc: 0.501953] [A loss: 0.975847, acc: 0.093750] 7091: [D loss: 0.714830, acc: 0.505859] [A loss: 0.718766, acc: 0.453125] 7092: [D loss: 0.715231, acc: 0.521484] [A loss: 0.957184, acc: 0.128906] 7093: [D loss: 0.707574, acc: 0.513672] [A loss: 0.689112, acc: 0.570312] 7094: [D loss: 0.709658, acc: 0.529297] [A loss: 0.913219, acc: 0.152344] 7095: [D loss: 0.689236, acc: 0.517578] [A loss: 0.731953, acc: 0.453125] 7096: [D loss: 0.711668, acc: 0.515625] [A loss: 0.930816, acc: 0.121094] 7097: [D loss: 0.689024, acc: 0.535156] [A loss: 0.670691, acc: 0.554688] 7098: [D loss: 0.721843, acc: 0.525391] [A loss: 1.023315, acc: 0.066406] 7099: [D loss: 0.701972, acc: 0.517578] [A loss: 0.678364, acc: 0.542969] 7100: [D loss: 0.727410, acc: 0.503906] [A loss: 0.892920, acc: 0.164062] 7101: [D loss: 0.711094, acc: 0.501953] [A loss: 0.742397, acc: 0.414062] 7102: [D loss: 0.724355, acc: 0.496094] [A loss: 0.973482, acc: 0.097656] 7103: [D loss: 0.692963, acc: 0.527344] [A loss: 0.700083, acc: 0.566406] 7104: [D loss: 0.726164, acc: 0.500000] [A loss: 0.928416, acc: 0.140625] 7105: [D loss: 0.708735, acc: 0.498047] [A loss: 0.763458, acc: 0.417969] 7106: [D loss: 0.696388, acc: 0.533203] [A loss: 0.888520, acc: 0.191406] 7107: [D loss: 0.685466, acc: 0.554688] [A loss: 0.816789, acc: 0.269531] 7108: [D loss: 0.711931, acc: 0.505859] [A loss: 0.830374, acc: 0.261719] 7109: [D loss: 0.695787, acc: 0.535156] [A loss: 0.805473, acc: 0.289062] 7110: [D loss: 0.694524, acc: 0.501953] [A loss: 0.775709, acc: 0.351562] 7111: [D loss: 0.703705, acc: 0.521484] [A loss: 0.864206, acc: 0.203125] 7112: [D loss: 0.714277, acc: 0.476562] [A loss: 0.772378, acc: 0.375000] 7113: [D loss: 0.702980, acc: 0.533203] [A loss: 0.829776, acc: 0.246094] 7114: [D loss: 0.706040, acc: 0.527344] [A loss: 0.844690, acc: 0.250000] 7115: [D loss: 0.726109, acc: 0.498047] [A loss: 0.981892, acc: 0.089844] 7116: [D loss: 0.693332, acc: 0.539062] [A loss: 0.678040, acc: 0.570312] 7117: [D loss: 0.721181, acc: 0.492188] [A loss: 1.008260, acc: 0.066406] 7118: [D loss: 0.693639, acc: 0.529297] [A loss: 0.656858, acc: 0.605469] 7119: [D loss: 0.722269, acc: 0.513672] [A loss: 0.962252, acc: 0.105469] 7120: [D loss: 0.715541, acc: 0.474609] [A loss: 0.758600, acc: 0.351562] 7121: [D loss: 0.701052, acc: 0.542969] [A loss: 0.842744, acc: 0.250000] 7122: [D loss: 0.699529, acc: 0.556641] [A loss: 0.830692, acc: 0.250000] 7123: [D loss: 0.717057, acc: 0.515625] [A loss: 0.891656, acc: 0.191406] 7124: [D loss: 0.699754, acc: 0.517578] [A loss: 0.784344, acc: 0.351562] 7125: [D loss: 0.712952, acc: 0.531250] [A loss: 0.957578, acc: 0.105469] 7126: [D loss: 0.719894, acc: 0.478516] [A loss: 0.706113, acc: 0.542969] 7127: [D loss: 0.706546, acc: 0.537109] [A loss: 0.867622, acc: 0.191406] 7128: [D loss: 0.693253, acc: 0.566406] [A loss: 0.770206, acc: 0.398438] 7129: [D loss: 0.706469, acc: 0.503906] [A loss: 0.870576, acc: 0.175781] 7130: [D loss: 0.712827, acc: 0.507812] [A loss: 0.809662, acc: 0.289062] 7131: [D loss: 0.692334, acc: 0.521484] [A loss: 0.808778, acc: 0.300781] 7132: [D loss: 0.718658, acc: 0.507812] [A loss: 0.863515, acc: 0.234375] 7133: [D loss: 0.697118, acc: 0.503906] [A loss: 0.777582, acc: 0.343750] 7134: [D loss: 0.703579, acc: 0.501953] [A loss: 0.864447, acc: 0.214844] 7135: [D loss: 0.708027, acc: 0.527344] [A loss: 0.789441, acc: 0.332031] 7136: [D loss: 0.709718, acc: 0.531250] [A loss: 0.857172, acc: 0.222656] 7137: [D loss: 0.713545, acc: 0.509766] [A loss: 0.804238, acc: 0.312500] 7138: [D loss: 0.706708, acc: 0.517578] [A loss: 0.991385, acc: 0.074219] 7139: [D loss: 0.704532, acc: 0.517578] [A loss: 0.699028, acc: 0.507812] 7140: [D loss: 0.718822, acc: 0.515625] [A loss: 1.150651, acc: 0.019531] 7141: [D loss: 0.711691, acc: 0.527344] [A loss: 0.658858, acc: 0.617188] 7142: [D loss: 0.755920, acc: 0.519531] [A loss: 1.023779, acc: 0.066406] 7143: [D loss: 0.714494, acc: 0.496094] [A loss: 0.697392, acc: 0.535156] 7144: [D loss: 0.730257, acc: 0.519531] [A loss: 0.933876, acc: 0.160156] 7145: [D loss: 0.714024, acc: 0.472656] [A loss: 0.738334, acc: 0.402344] 7146: [D loss: 0.717659, acc: 0.542969] [A loss: 0.824523, acc: 0.273438] 7147: [D loss: 0.711387, acc: 0.476562] [A loss: 0.754587, acc: 0.382812] 7148: [D loss: 0.697307, acc: 0.515625] [A loss: 0.804433, acc: 0.296875] 7149: [D loss: 0.699979, acc: 0.523438] [A loss: 0.816322, acc: 0.257812] 7150: [D loss: 0.689364, acc: 0.560547] [A loss: 0.846193, acc: 0.230469] 7151: [D loss: 0.694901, acc: 0.554688] [A loss: 0.829953, acc: 0.246094] 7152: [D loss: 0.709588, acc: 0.505859] [A loss: 0.831113, acc: 0.230469] 7153: [D loss: 0.699739, acc: 0.527344] [A loss: 0.801733, acc: 0.292969] 7154: [D loss: 0.711497, acc: 0.527344] [A loss: 0.865822, acc: 0.207031] 7155: [D loss: 0.705217, acc: 0.513672] [A loss: 0.795997, acc: 0.269531] 7156: [D loss: 0.696023, acc: 0.556641] [A loss: 0.864730, acc: 0.207031] 7157: [D loss: 0.694506, acc: 0.511719] [A loss: 0.880467, acc: 0.167969] 7158: [D loss: 0.694650, acc: 0.513672] [A loss: 0.828833, acc: 0.253906] 7159: [D loss: 0.702788, acc: 0.517578] [A loss: 0.898224, acc: 0.183594] 7160: [D loss: 0.703812, acc: 0.519531] [A loss: 0.707873, acc: 0.511719] 7161: [D loss: 0.718311, acc: 0.511719] [A loss: 0.980566, acc: 0.082031] 7162: [D loss: 0.699008, acc: 0.509766] [A loss: 0.693416, acc: 0.546875] 7163: [D loss: 0.739465, acc: 0.511719] [A loss: 1.080032, acc: 0.046875] 7164: [D loss: 0.712087, acc: 0.509766] [A loss: 0.624849, acc: 0.687500] 7165: [D loss: 0.747052, acc: 0.484375] [A loss: 1.022157, acc: 0.093750] 7166: [D loss: 0.715219, acc: 0.498047] [A loss: 0.686392, acc: 0.539062] 7167: [D loss: 0.732501, acc: 0.519531] [A loss: 0.978786, acc: 0.093750] 7168: [D loss: 0.706963, acc: 0.529297] [A loss: 0.723389, acc: 0.488281] 7169: [D loss: 0.741227, acc: 0.476562] [A loss: 0.980195, acc: 0.093750] 7170: [D loss: 0.697950, acc: 0.531250] [A loss: 0.712404, acc: 0.484375] 7171: [D loss: 0.705162, acc: 0.513672] [A loss: 0.800740, acc: 0.308594] 7172: [D loss: 0.708666, acc: 0.515625] [A loss: 0.776394, acc: 0.382812] 7173: [D loss: 0.708911, acc: 0.529297] [A loss: 0.839023, acc: 0.273438] 7174: [D loss: 0.710769, acc: 0.486328] [A loss: 0.800100, acc: 0.347656] 7175: [D loss: 0.728255, acc: 0.470703] [A loss: 0.852162, acc: 0.246094] 7176: [D loss: 0.697515, acc: 0.529297] [A loss: 0.779475, acc: 0.355469] 7177: [D loss: 0.710582, acc: 0.535156] [A loss: 0.865301, acc: 0.191406] 7178: [D loss: 0.702092, acc: 0.544922] [A loss: 0.790794, acc: 0.351562] 7179: [D loss: 0.722688, acc: 0.468750] [A loss: 0.850989, acc: 0.281250] 7180: [D loss: 0.692895, acc: 0.523438] [A loss: 0.767691, acc: 0.398438] 7181: [D loss: 0.715390, acc: 0.501953] [A loss: 0.923848, acc: 0.148438] 7182: [D loss: 0.708597, acc: 0.529297] [A loss: 0.715618, acc: 0.472656] 7183: [D loss: 0.708362, acc: 0.513672] [A loss: 0.926934, acc: 0.136719] 7184: [D loss: 0.712588, acc: 0.511719] [A loss: 0.746655, acc: 0.437500] 7185: [D loss: 0.711067, acc: 0.496094] [A loss: 0.930581, acc: 0.128906] 7186: [D loss: 0.702531, acc: 0.500000] [A loss: 0.691442, acc: 0.539062] 7187: [D loss: 0.728470, acc: 0.519531] [A loss: 1.028839, acc: 0.093750] 7188: [D loss: 0.707281, acc: 0.513672] [A loss: 0.641356, acc: 0.660156] 7189: [D loss: 0.752364, acc: 0.474609] [A loss: 0.908327, acc: 0.140625] 7190: [D loss: 0.704365, acc: 0.513672] [A loss: 0.758719, acc: 0.371094] 7191: [D loss: 0.708679, acc: 0.509766] [A loss: 0.820581, acc: 0.265625] 7192: [D loss: 0.694924, acc: 0.539062] [A loss: 0.785142, acc: 0.316406] 7193: [D loss: 0.702850, acc: 0.515625] [A loss: 0.822742, acc: 0.250000] 7194: [D loss: 0.705748, acc: 0.533203] [A loss: 0.798507, acc: 0.351562] 7195: [D loss: 0.700311, acc: 0.525391] [A loss: 0.814232, acc: 0.273438] 7196: [D loss: 0.695009, acc: 0.529297] [A loss: 0.833032, acc: 0.265625] 7197: [D loss: 0.699252, acc: 0.515625] [A loss: 0.747724, acc: 0.402344] 7198: [D loss: 0.694988, acc: 0.519531] [A loss: 0.879410, acc: 0.203125] 7199: [D loss: 0.716737, acc: 0.511719] [A loss: 0.839391, acc: 0.257812] 7200: [D loss: 0.698712, acc: 0.505859] [A loss: 0.829427, acc: 0.246094] 7201: [D loss: 0.714028, acc: 0.498047] [A loss: 0.881520, acc: 0.195312] 7202: [D loss: 0.699522, acc: 0.535156] [A loss: 0.757458, acc: 0.421875] 7203: [D loss: 0.727015, acc: 0.470703] [A loss: 0.991715, acc: 0.089844] 7204: [D loss: 0.707483, acc: 0.507812] [A loss: 0.683514, acc: 0.546875] 7205: [D loss: 0.721530, acc: 0.515625] [A loss: 0.988462, acc: 0.089844] 7206: [D loss: 0.699056, acc: 0.501953] [A loss: 0.682009, acc: 0.558594] 7207: [D loss: 0.729313, acc: 0.498047] [A loss: 0.931504, acc: 0.160156] 7208: [D loss: 0.715905, acc: 0.496094] [A loss: 0.729098, acc: 0.457031] 7209: [D loss: 0.726684, acc: 0.500000] [A loss: 0.908453, acc: 0.148438] 7210: [D loss: 0.698478, acc: 0.527344] [A loss: 0.781273, acc: 0.339844] 7211: [D loss: 0.739783, acc: 0.472656] [A loss: 0.999567, acc: 0.097656] 7212: [D loss: 0.698298, acc: 0.519531] [A loss: 0.709755, acc: 0.480469] 7213: [D loss: 0.724926, acc: 0.507812] [A loss: 0.956057, acc: 0.136719] 7214: [D loss: 0.691690, acc: 0.548828] [A loss: 0.635026, acc: 0.640625] 7215: [D loss: 0.729009, acc: 0.515625] [A loss: 0.957538, acc: 0.152344] 7216: [D loss: 0.697087, acc: 0.558594] [A loss: 0.712901, acc: 0.445312] 7217: [D loss: 0.721883, acc: 0.505859] [A loss: 0.846569, acc: 0.230469] 7218: [D loss: 0.707733, acc: 0.539062] [A loss: 0.777943, acc: 0.328125] 7219: [D loss: 0.715595, acc: 0.531250] [A loss: 0.845499, acc: 0.242188] 7220: [D loss: 0.701788, acc: 0.535156] [A loss: 0.781602, acc: 0.332031] 7221: [D loss: 0.704068, acc: 0.527344] [A loss: 0.894265, acc: 0.164062] 7222: [D loss: 0.697388, acc: 0.544922] [A loss: 0.824909, acc: 0.289062] 7223: [D loss: 0.701437, acc: 0.509766] [A loss: 0.847975, acc: 0.250000] 7224: [D loss: 0.704984, acc: 0.496094] [A loss: 0.814218, acc: 0.312500] 7225: [D loss: 0.701936, acc: 0.542969] [A loss: 0.802234, acc: 0.351562] 7226: [D loss: 0.685558, acc: 0.537109] [A loss: 0.811591, acc: 0.312500] 7227: [D loss: 0.691703, acc: 0.558594] [A loss: 0.790257, acc: 0.355469] 7228: [D loss: 0.716853, acc: 0.525391] [A loss: 0.951155, acc: 0.156250] 7229: [D loss: 0.700962, acc: 0.509766] [A loss: 0.683293, acc: 0.558594] 7230: [D loss: 0.723098, acc: 0.501953] [A loss: 1.038786, acc: 0.054688] 7231: [D loss: 0.699490, acc: 0.517578] [A loss: 0.656325, acc: 0.617188] 7232: [D loss: 0.737531, acc: 0.500000] [A loss: 0.948195, acc: 0.089844] 7233: [D loss: 0.708196, acc: 0.523438] [A loss: 0.707761, acc: 0.507812] 7234: [D loss: 0.738428, acc: 0.458984] [A loss: 0.978223, acc: 0.132812] 7235: [D loss: 0.712002, acc: 0.515625] [A loss: 0.700399, acc: 0.519531] 7236: [D loss: 0.735229, acc: 0.509766] [A loss: 0.914143, acc: 0.140625] 7237: [D loss: 0.702538, acc: 0.531250] [A loss: 0.768224, acc: 0.371094] 7238: [D loss: 0.716639, acc: 0.511719] [A loss: 0.907292, acc: 0.164062] 7239: [D loss: 0.699927, acc: 0.511719] [A loss: 0.772040, acc: 0.382812] 7240: [D loss: 0.726222, acc: 0.492188] [A loss: 0.883622, acc: 0.191406] 7241: [D loss: 0.713179, acc: 0.498047] [A loss: 0.776147, acc: 0.355469] 7242: [D loss: 0.706900, acc: 0.517578] [A loss: 0.814283, acc: 0.277344] 7243: [D loss: 0.700852, acc: 0.523438] [A loss: 0.794001, acc: 0.316406] 7244: [D loss: 0.714492, acc: 0.507812] [A loss: 0.827385, acc: 0.269531] 7245: [D loss: 0.705422, acc: 0.533203] [A loss: 0.838195, acc: 0.222656] 7246: [D loss: 0.714949, acc: 0.494141] [A loss: 0.817659, acc: 0.265625] 7247: [D loss: 0.708364, acc: 0.507812] [A loss: 0.849689, acc: 0.207031] 7248: [D loss: 0.695627, acc: 0.527344] [A loss: 0.768565, acc: 0.378906] 7249: [D loss: 0.717084, acc: 0.496094] [A loss: 0.889978, acc: 0.167969] 7250: [D loss: 0.718758, acc: 0.484375] [A loss: 0.773638, acc: 0.371094] 7251: [D loss: 0.712920, acc: 0.544922] [A loss: 0.897031, acc: 0.164062] 7252: [D loss: 0.695199, acc: 0.537109] [A loss: 0.774568, acc: 0.343750] 7253: [D loss: 0.697487, acc: 0.574219] [A loss: 0.938929, acc: 0.113281] 7254: [D loss: 0.708736, acc: 0.509766] [A loss: 0.689083, acc: 0.519531] 7255: [D loss: 0.737373, acc: 0.498047] [A loss: 1.029783, acc: 0.058594] 7256: [D loss: 0.727991, acc: 0.470703] [A loss: 0.643611, acc: 0.617188] 7257: [D loss: 0.733140, acc: 0.519531] [A loss: 0.918881, acc: 0.113281] 7258: [D loss: 0.693440, acc: 0.531250] [A loss: 0.734236, acc: 0.421875] 7259: [D loss: 0.708690, acc: 0.500000] [A loss: 0.830618, acc: 0.238281] 7260: [D loss: 0.711849, acc: 0.505859] [A loss: 0.800842, acc: 0.308594] 7261: [D loss: 0.689671, acc: 0.527344] [A loss: 0.854909, acc: 0.222656] 7262: [D loss: 0.696752, acc: 0.535156] [A loss: 0.892156, acc: 0.214844] 7263: [D loss: 0.707659, acc: 0.505859] [A loss: 0.849533, acc: 0.238281] 7264: [D loss: 0.708759, acc: 0.494141] [A loss: 0.812269, acc: 0.335938] 7265: [D loss: 0.697910, acc: 0.537109] [A loss: 0.877841, acc: 0.191406] 7266: [D loss: 0.696422, acc: 0.531250] [A loss: 0.787941, acc: 0.328125] 7267: [D loss: 0.707412, acc: 0.527344] [A loss: 0.895154, acc: 0.164062] 7268: [D loss: 0.702275, acc: 0.517578] [A loss: 0.764149, acc: 0.335938] 7269: [D loss: 0.707788, acc: 0.539062] [A loss: 0.946441, acc: 0.132812] 7270: [D loss: 0.700610, acc: 0.505859] [A loss: 0.677670, acc: 0.578125] 7271: [D loss: 0.746939, acc: 0.496094] [A loss: 1.118990, acc: 0.046875] 7272: [D loss: 0.708815, acc: 0.515625] [A loss: 0.667438, acc: 0.578125] 7273: [D loss: 0.724496, acc: 0.500000] [A loss: 0.858595, acc: 0.195312] 7274: [D loss: 0.695162, acc: 0.513672] [A loss: 0.708419, acc: 0.496094] 7275: [D loss: 0.726460, acc: 0.470703] [A loss: 0.911785, acc: 0.160156] 7276: [D loss: 0.704330, acc: 0.513672] [A loss: 0.775320, acc: 0.378906] 7277: [D loss: 0.704687, acc: 0.544922] [A loss: 0.833686, acc: 0.230469] 7278: [D loss: 0.715322, acc: 0.517578] [A loss: 0.749921, acc: 0.410156] 7279: [D loss: 0.717448, acc: 0.501953] [A loss: 0.922582, acc: 0.136719] 7280: [D loss: 0.688633, acc: 0.523438] [A loss: 0.694461, acc: 0.496094] 7281: [D loss: 0.729268, acc: 0.503906] [A loss: 0.932179, acc: 0.136719] 7282: [D loss: 0.707430, acc: 0.498047] [A loss: 0.748417, acc: 0.410156] 7283: [D loss: 0.704619, acc: 0.523438] [A loss: 0.839522, acc: 0.246094] 7284: [D loss: 0.715215, acc: 0.490234] [A loss: 0.732082, acc: 0.449219] 7285: [D loss: 0.705443, acc: 0.519531] [A loss: 0.862354, acc: 0.195312] 7286: [D loss: 0.684684, acc: 0.554688] [A loss: 0.787448, acc: 0.324219] 7287: [D loss: 0.708039, acc: 0.527344] [A loss: 0.861502, acc: 0.210938] 7288: [D loss: 0.689738, acc: 0.550781] [A loss: 0.795786, acc: 0.316406] 7289: [D loss: 0.701407, acc: 0.546875] [A loss: 0.912812, acc: 0.156250] 7290: [D loss: 0.696970, acc: 0.539062] [A loss: 0.785972, acc: 0.339844] 7291: [D loss: 0.694056, acc: 0.556641] [A loss: 0.847645, acc: 0.207031] 7292: [D loss: 0.705617, acc: 0.523438] [A loss: 0.829814, acc: 0.230469] 7293: [D loss: 0.713505, acc: 0.523438] [A loss: 0.978941, acc: 0.085938] 7294: [D loss: 0.690717, acc: 0.537109] [A loss: 0.698121, acc: 0.496094] 7295: [D loss: 0.717444, acc: 0.515625] [A loss: 0.966489, acc: 0.097656] 7296: [D loss: 0.704829, acc: 0.492188] [A loss: 0.703359, acc: 0.507812] 7297: [D loss: 0.709213, acc: 0.537109] [A loss: 0.957511, acc: 0.125000] 7298: [D loss: 0.700999, acc: 0.541016] [A loss: 0.675867, acc: 0.593750] 7299: [D loss: 0.728118, acc: 0.486328] [A loss: 0.945094, acc: 0.109375] 7300: [D loss: 0.693001, acc: 0.539062] [A loss: 0.729031, acc: 0.453125] 7301: [D loss: 0.727481, acc: 0.529297] [A loss: 1.047936, acc: 0.082031] 7302: [D loss: 0.722152, acc: 0.525391] [A loss: 0.658211, acc: 0.574219] 7303: [D loss: 0.725918, acc: 0.517578] [A loss: 0.913966, acc: 0.148438] 7304: [D loss: 0.698609, acc: 0.521484] [A loss: 0.759936, acc: 0.371094] 7305: [D loss: 0.717773, acc: 0.500000] [A loss: 0.823293, acc: 0.285156] 7306: [D loss: 0.716817, acc: 0.494141] [A loss: 0.809834, acc: 0.324219] 7307: [D loss: 0.704253, acc: 0.525391] [A loss: 0.794812, acc: 0.316406] 7308: [D loss: 0.707793, acc: 0.501953] [A loss: 0.785247, acc: 0.335938] 7309: [D loss: 0.709215, acc: 0.517578] [A loss: 0.876258, acc: 0.195312] 7310: [D loss: 0.696617, acc: 0.515625] [A loss: 0.750691, acc: 0.410156] 7311: [D loss: 0.719502, acc: 0.486328] [A loss: 0.873037, acc: 0.195312] 7312: [D loss: 0.701213, acc: 0.533203] [A loss: 0.793258, acc: 0.292969] 7313: [D loss: 0.709763, acc: 0.515625] [A loss: 0.907140, acc: 0.156250] 7314: [D loss: 0.706778, acc: 0.519531] [A loss: 0.720482, acc: 0.441406] 7315: [D loss: 0.724056, acc: 0.494141] [A loss: 1.022192, acc: 0.066406] 7316: [D loss: 0.703089, acc: 0.511719] [A loss: 0.707664, acc: 0.542969] 7317: [D loss: 0.722491, acc: 0.500000] [A loss: 0.906209, acc: 0.167969] 7318: [D loss: 0.693050, acc: 0.533203] [A loss: 0.719787, acc: 0.449219] 7319: [D loss: 0.716081, acc: 0.488281] [A loss: 0.912301, acc: 0.164062] 7320: [D loss: 0.718823, acc: 0.464844] [A loss: 0.782556, acc: 0.355469] 7321: [D loss: 0.705998, acc: 0.521484] [A loss: 0.930028, acc: 0.105469] 7322: [D loss: 0.718627, acc: 0.501953] [A loss: 0.750334, acc: 0.390625] 7323: [D loss: 0.739784, acc: 0.498047] [A loss: 1.007143, acc: 0.062500] 7324: [D loss: 0.714486, acc: 0.509766] [A loss: 0.662588, acc: 0.570312] 7325: [D loss: 0.729620, acc: 0.486328] [A loss: 0.873444, acc: 0.191406] 7326: [D loss: 0.702064, acc: 0.498047] [A loss: 0.775490, acc: 0.363281] 7327: [D loss: 0.709056, acc: 0.515625] [A loss: 0.858497, acc: 0.218750] 7328: [D loss: 0.711597, acc: 0.488281] [A loss: 0.754022, acc: 0.390625] 7329: [D loss: 0.697193, acc: 0.535156] [A loss: 0.882083, acc: 0.164062] 7330: [D loss: 0.705073, acc: 0.492188] [A loss: 0.727164, acc: 0.496094] 7331: [D loss: 0.726704, acc: 0.517578] [A loss: 0.940127, acc: 0.144531] 7332: [D loss: 0.702875, acc: 0.531250] [A loss: 0.739563, acc: 0.445312] 7333: [D loss: 0.698537, acc: 0.527344] [A loss: 0.834430, acc: 0.238281] 7334: [D loss: 0.705952, acc: 0.484375] [A loss: 0.789656, acc: 0.355469] 7335: [D loss: 0.705071, acc: 0.507812] [A loss: 0.893073, acc: 0.187500] 7336: [D loss: 0.703240, acc: 0.509766] [A loss: 0.804875, acc: 0.308594] 7337: [D loss: 0.702781, acc: 0.544922] [A loss: 0.882198, acc: 0.246094] 7338: [D loss: 0.690186, acc: 0.550781] [A loss: 0.779266, acc: 0.332031] 7339: [D loss: 0.691603, acc: 0.541016] [A loss: 0.924882, acc: 0.164062] 7340: [D loss: 0.681132, acc: 0.570312] [A loss: 0.726816, acc: 0.453125] 7341: [D loss: 0.703911, acc: 0.509766] [A loss: 0.934013, acc: 0.144531] 7342: [D loss: 0.698122, acc: 0.554688] [A loss: 0.755671, acc: 0.410156] 7343: [D loss: 0.703354, acc: 0.537109] [A loss: 0.964827, acc: 0.113281] 7344: [D loss: 0.687271, acc: 0.529297] [A loss: 0.720921, acc: 0.484375] 7345: [D loss: 0.708608, acc: 0.539062] [A loss: 1.029687, acc: 0.058594] 7346: [D loss: 0.703704, acc: 0.513672] [A loss: 0.649291, acc: 0.632812] 7347: [D loss: 0.739205, acc: 0.503906] [A loss: 0.982205, acc: 0.089844] 7348: [D loss: 0.708814, acc: 0.480469] [A loss: 0.725406, acc: 0.441406] 7349: [D loss: 0.716441, acc: 0.517578] [A loss: 0.887032, acc: 0.246094] 7350: [D loss: 0.693433, acc: 0.552734] [A loss: 0.731465, acc: 0.453125] 7351: [D loss: 0.722574, acc: 0.507812] [A loss: 0.861311, acc: 0.218750] 7352: [D loss: 0.699812, acc: 0.515625] [A loss: 0.768150, acc: 0.417969] 7353: [D loss: 0.695542, acc: 0.537109] [A loss: 0.806215, acc: 0.296875] 7354: [D loss: 0.703045, acc: 0.531250] [A loss: 0.767784, acc: 0.421875] 7355: [D loss: 0.719097, acc: 0.494141] [A loss: 0.861752, acc: 0.226562] 7356: [D loss: 0.696655, acc: 0.533203] [A loss: 0.811684, acc: 0.332031] 7357: [D loss: 0.720891, acc: 0.498047] [A loss: 0.908933, acc: 0.156250] 7358: [D loss: 0.716441, acc: 0.482422] [A loss: 0.697643, acc: 0.542969] 7359: [D loss: 0.703959, acc: 0.541016] [A loss: 0.823842, acc: 0.246094] 7360: [D loss: 0.691191, acc: 0.550781] [A loss: 0.778356, acc: 0.355469] 7361: [D loss: 0.713995, acc: 0.509766] [A loss: 0.850981, acc: 0.230469] 7362: [D loss: 0.709002, acc: 0.478516] [A loss: 0.834197, acc: 0.265625] 7363: [D loss: 0.706649, acc: 0.509766] [A loss: 0.773524, acc: 0.363281] 7364: [D loss: 0.708391, acc: 0.523438] [A loss: 0.873058, acc: 0.195312] 7365: [D loss: 0.703973, acc: 0.503906] [A loss: 0.793515, acc: 0.332031] 7366: [D loss: 0.724327, acc: 0.501953] [A loss: 0.928055, acc: 0.136719] 7367: [D loss: 0.699338, acc: 0.537109] [A loss: 0.714524, acc: 0.453125] 7368: [D loss: 0.707731, acc: 0.529297] [A loss: 1.030983, acc: 0.070312] 7369: [D loss: 0.700996, acc: 0.529297] [A loss: 0.661064, acc: 0.558594] 7370: [D loss: 0.734477, acc: 0.500000] [A loss: 1.004444, acc: 0.125000] 7371: [D loss: 0.705215, acc: 0.496094] [A loss: 0.719470, acc: 0.480469] 7372: [D loss: 0.708429, acc: 0.535156] [A loss: 0.874683, acc: 0.191406] 7373: [D loss: 0.706946, acc: 0.507812] [A loss: 0.729379, acc: 0.386719] 7374: [D loss: 0.714106, acc: 0.517578] [A loss: 0.925700, acc: 0.167969] 7375: [D loss: 0.721925, acc: 0.500000] [A loss: 0.785463, acc: 0.363281] 7376: [D loss: 0.712130, acc: 0.511719] [A loss: 0.856297, acc: 0.234375] 7377: [D loss: 0.699348, acc: 0.523438] [A loss: 0.750365, acc: 0.394531] 7378: [D loss: 0.724699, acc: 0.515625] [A loss: 0.919025, acc: 0.156250] 7379: [D loss: 0.718630, acc: 0.488281] [A loss: 0.825514, acc: 0.273438] 7380: [D loss: 0.704055, acc: 0.509766] [A loss: 0.893240, acc: 0.171875] 7381: [D loss: 0.710985, acc: 0.478516] [A loss: 0.754670, acc: 0.414062] 7382: [D loss: 0.697729, acc: 0.552734] [A loss: 0.867190, acc: 0.199219] 7383: [D loss: 0.700436, acc: 0.521484] [A loss: 0.777321, acc: 0.367188] 7384: [D loss: 0.721812, acc: 0.500000] [A loss: 0.965034, acc: 0.105469] 7385: [D loss: 0.706071, acc: 0.513672] [A loss: 0.644447, acc: 0.656250] 7386: [D loss: 0.719139, acc: 0.525391] [A loss: 1.046180, acc: 0.074219] 7387: [D loss: 0.725049, acc: 0.453125] [A loss: 0.641483, acc: 0.628906] 7388: [D loss: 0.735970, acc: 0.498047] [A loss: 0.928784, acc: 0.167969] 7389: [D loss: 0.702355, acc: 0.519531] [A loss: 0.758077, acc: 0.437500] 7390: [D loss: 0.721510, acc: 0.496094] [A loss: 0.892178, acc: 0.210938] 7391: [D loss: 0.697864, acc: 0.521484] [A loss: 0.716408, acc: 0.476562] 7392: [D loss: 0.726551, acc: 0.523438] [A loss: 0.910001, acc: 0.152344] 7393: [D loss: 0.686316, acc: 0.533203] [A loss: 0.759773, acc: 0.425781] 7394: [D loss: 0.708332, acc: 0.517578] [A loss: 0.825627, acc: 0.234375] 7395: [D loss: 0.701559, acc: 0.519531] [A loss: 0.794740, acc: 0.320312] 7396: [D loss: 0.717755, acc: 0.507812] [A loss: 0.894979, acc: 0.187500] 7397: [D loss: 0.677306, acc: 0.564453] [A loss: 0.793001, acc: 0.316406] 7398: [D loss: 0.719871, acc: 0.503906] [A loss: 0.854816, acc: 0.210938] 7399: [D loss: 0.689159, acc: 0.544922] [A loss: 0.769949, acc: 0.378906] 7400: [D loss: 0.718721, acc: 0.513672] [A loss: 0.845353, acc: 0.250000] 7401: [D loss: 0.699891, acc: 0.544922] [A loss: 0.834648, acc: 0.304688] 7402: [D loss: 0.715603, acc: 0.505859] [A loss: 0.883815, acc: 0.214844] 7403: [D loss: 0.688141, acc: 0.554688] [A loss: 0.809569, acc: 0.308594] 7404: [D loss: 0.704510, acc: 0.494141] [A loss: 0.845513, acc: 0.246094] 7405: [D loss: 0.698122, acc: 0.539062] [A loss: 0.800680, acc: 0.371094] 7406: [D loss: 0.711077, acc: 0.492188] [A loss: 0.874528, acc: 0.179688] 7407: [D loss: 0.702410, acc: 0.488281] [A loss: 0.866541, acc: 0.199219] 7408: [D loss: 0.704189, acc: 0.537109] [A loss: 0.880838, acc: 0.195312] 7409: [D loss: 0.696390, acc: 0.525391] [A loss: 0.821106, acc: 0.281250] 7410: [D loss: 0.716094, acc: 0.509766] [A loss: 0.957597, acc: 0.121094] 7411: [D loss: 0.697520, acc: 0.531250] [A loss: 0.655773, acc: 0.621094] 7412: [D loss: 0.728162, acc: 0.513672] [A loss: 1.065839, acc: 0.066406] 7413: [D loss: 0.705732, acc: 0.507812] [A loss: 0.632359, acc: 0.679688] 7414: [D loss: 0.748769, acc: 0.484375] [A loss: 0.971255, acc: 0.113281] 7415: [D loss: 0.711926, acc: 0.492188] [A loss: 0.790141, acc: 0.359375] 7416: [D loss: 0.704401, acc: 0.521484] [A loss: 0.733577, acc: 0.480469] 7417: [D loss: 0.711231, acc: 0.521484] [A loss: 0.866907, acc: 0.218750] 7418: [D loss: 0.701522, acc: 0.539062] [A loss: 0.725784, acc: 0.472656] 7419: [D loss: 0.718340, acc: 0.498047] [A loss: 0.989195, acc: 0.089844] 7420: [D loss: 0.690566, acc: 0.550781] [A loss: 0.671000, acc: 0.558594] 7421: [D loss: 0.719235, acc: 0.513672] [A loss: 0.906895, acc: 0.175781] 7422: [D loss: 0.692146, acc: 0.558594] [A loss: 0.712826, acc: 0.527344] 7423: [D loss: 0.718246, acc: 0.513672] [A loss: 0.888438, acc: 0.187500] 7424: [D loss: 0.693018, acc: 0.533203] [A loss: 0.702138, acc: 0.488281] 7425: [D loss: 0.725613, acc: 0.488281] [A loss: 0.990204, acc: 0.085938] 7426: [D loss: 0.700088, acc: 0.505859] [A loss: 0.691596, acc: 0.511719] 7427: [D loss: 0.722924, acc: 0.531250] [A loss: 0.874660, acc: 0.183594] 7428: [D loss: 0.703514, acc: 0.517578] [A loss: 0.706773, acc: 0.531250] 7429: [D loss: 0.715944, acc: 0.501953] [A loss: 0.926861, acc: 0.164062] 7430: [D loss: 0.705389, acc: 0.505859] [A loss: 0.745122, acc: 0.406250] 7431: [D loss: 0.731352, acc: 0.496094] [A loss: 0.859368, acc: 0.195312] 7432: [D loss: 0.710400, acc: 0.515625] [A loss: 0.758917, acc: 0.390625] 7433: [D loss: 0.702354, acc: 0.531250] [A loss: 0.822675, acc: 0.273438] 7434: [D loss: 0.706224, acc: 0.515625] [A loss: 0.789143, acc: 0.335938] 7435: [D loss: 0.711964, acc: 0.505859] [A loss: 0.777745, acc: 0.355469] 7436: [D loss: 0.715089, acc: 0.507812] [A loss: 0.891074, acc: 0.191406] 7437: [D loss: 0.709831, acc: 0.482422] [A loss: 0.756622, acc: 0.390625] 7438: [D loss: 0.737753, acc: 0.455078] [A loss: 0.840660, acc: 0.253906] 7439: [D loss: 0.696811, acc: 0.535156] [A loss: 0.753532, acc: 0.382812] 7440: [D loss: 0.722450, acc: 0.523438] [A loss: 0.895466, acc: 0.183594] 7441: [D loss: 0.701506, acc: 0.505859] [A loss: 0.771006, acc: 0.371094] 7442: [D loss: 0.723839, acc: 0.478516] [A loss: 0.889713, acc: 0.187500] 7443: [D loss: 0.699878, acc: 0.533203] [A loss: 0.709645, acc: 0.488281] 7444: [D loss: 0.724373, acc: 0.519531] [A loss: 0.925096, acc: 0.132812] 7445: [D loss: 0.711872, acc: 0.496094] [A loss: 0.707666, acc: 0.476562] 7446: [D loss: 0.723560, acc: 0.503906] [A loss: 0.970382, acc: 0.132812] 7447: [D loss: 0.683522, acc: 0.552734] [A loss: 0.703747, acc: 0.515625] 7448: [D loss: 0.723495, acc: 0.498047] [A loss: 0.914689, acc: 0.148438] 7449: [D loss: 0.703628, acc: 0.498047] [A loss: 0.746972, acc: 0.421875] 7450: [D loss: 0.723656, acc: 0.498047] [A loss: 0.825419, acc: 0.277344] 7451: [D loss: 0.706299, acc: 0.498047] [A loss: 0.742690, acc: 0.429688] 7452: [D loss: 0.695757, acc: 0.533203] [A loss: 0.859971, acc: 0.234375] 7453: [D loss: 0.693078, acc: 0.535156] [A loss: 0.798720, acc: 0.316406] 7454: [D loss: 0.717027, acc: 0.494141] [A loss: 0.965206, acc: 0.125000] 7455: [D loss: 0.697597, acc: 0.533203] [A loss: 0.757822, acc: 0.378906] 7456: [D loss: 0.732762, acc: 0.490234] [A loss: 0.963193, acc: 0.117188] 7457: [D loss: 0.705526, acc: 0.513672] [A loss: 0.705150, acc: 0.519531] 7458: [D loss: 0.715358, acc: 0.507812] [A loss: 0.966716, acc: 0.113281] 7459: [D loss: 0.696857, acc: 0.505859] [A loss: 0.763953, acc: 0.386719] 7460: [D loss: 0.703967, acc: 0.521484] [A loss: 0.884495, acc: 0.187500] 7461: [D loss: 0.702730, acc: 0.521484] [A loss: 0.806129, acc: 0.292969] 7462: [D loss: 0.711557, acc: 0.498047] [A loss: 0.876361, acc: 0.226562] 7463: [D loss: 0.710986, acc: 0.501953] [A loss: 0.815497, acc: 0.300781] 7464: [D loss: 0.712582, acc: 0.498047] [A loss: 0.907650, acc: 0.171875] 7465: [D loss: 0.688748, acc: 0.544922] [A loss: 0.761150, acc: 0.386719] 7466: [D loss: 0.720346, acc: 0.523438] [A loss: 0.991410, acc: 0.082031] 7467: [D loss: 0.698261, acc: 0.527344] [A loss: 0.707996, acc: 0.484375] 7468: [D loss: 0.723246, acc: 0.507812] [A loss: 0.975787, acc: 0.105469] 7469: [D loss: 0.700998, acc: 0.529297] [A loss: 0.658696, acc: 0.609375] 7470: [D loss: 0.749534, acc: 0.484375] [A loss: 0.983880, acc: 0.085938] 7471: [D loss: 0.693793, acc: 0.525391] [A loss: 0.673797, acc: 0.554688] 7472: [D loss: 0.728027, acc: 0.521484] [A loss: 0.945509, acc: 0.109375] 7473: [D loss: 0.713182, acc: 0.468750] [A loss: 0.777974, acc: 0.343750] 7474: [D loss: 0.705476, acc: 0.515625] [A loss: 0.819801, acc: 0.292969] 7475: [D loss: 0.702094, acc: 0.548828] [A loss: 0.793812, acc: 0.320312] 7476: [D loss: 0.707106, acc: 0.541016] [A loss: 0.880545, acc: 0.152344] 7477: [D loss: 0.701876, acc: 0.509766] [A loss: 0.792539, acc: 0.335938] 7478: [D loss: 0.703694, acc: 0.507812] [A loss: 0.915651, acc: 0.164062] 7479: [D loss: 0.687547, acc: 0.537109] [A loss: 0.727255, acc: 0.453125] 7480: [D loss: 0.713932, acc: 0.505859] [A loss: 0.953658, acc: 0.128906] 7481: [D loss: 0.708061, acc: 0.521484] [A loss: 0.706499, acc: 0.492188] 7482: [D loss: 0.728416, acc: 0.500000] [A loss: 0.937958, acc: 0.156250] 7483: [D loss: 0.697415, acc: 0.521484] [A loss: 0.747720, acc: 0.414062] 7484: [D loss: 0.711983, acc: 0.511719] [A loss: 0.911486, acc: 0.148438] 7485: [D loss: 0.690608, acc: 0.537109] [A loss: 0.771741, acc: 0.378906] 7486: [D loss: 0.720611, acc: 0.507812] [A loss: 0.875803, acc: 0.218750] 7487: [D loss: 0.712767, acc: 0.482422] [A loss: 0.780230, acc: 0.382812] 7488: [D loss: 0.701801, acc: 0.521484] [A loss: 0.891124, acc: 0.179688] 7489: [D loss: 0.696940, acc: 0.523438] [A loss: 0.731876, acc: 0.429688] 7490: [D loss: 0.696105, acc: 0.550781] [A loss: 0.933996, acc: 0.160156] 7491: [D loss: 0.709649, acc: 0.503906] [A loss: 0.724726, acc: 0.453125] 7492: [D loss: 0.719826, acc: 0.519531] [A loss: 0.978804, acc: 0.109375] 7493: [D loss: 0.702599, acc: 0.531250] [A loss: 0.739510, acc: 0.445312] 7494: [D loss: 0.715418, acc: 0.513672] [A loss: 0.939480, acc: 0.160156] 7495: [D loss: 0.700012, acc: 0.542969] [A loss: 0.704391, acc: 0.492188] 7496: [D loss: 0.727957, acc: 0.496094] [A loss: 0.946193, acc: 0.140625] 7497: [D loss: 0.688501, acc: 0.560547] [A loss: 0.712144, acc: 0.492188] 7498: [D loss: 0.722730, acc: 0.513672] [A loss: 0.953320, acc: 0.128906] 7499: [D loss: 0.709957, acc: 0.500000] [A loss: 0.737790, acc: 0.433594] 7500: [D loss: 0.715172, acc: 0.515625] [A loss: 0.841209, acc: 0.234375] 7501: [D loss: 0.701949, acc: 0.513672] [A loss: 0.767453, acc: 0.351562] 7502: [D loss: 0.713925, acc: 0.509766] [A loss: 0.901035, acc: 0.187500] 7503: [D loss: 0.702361, acc: 0.486328] [A loss: 0.768435, acc: 0.390625] 7504: [D loss: 0.717034, acc: 0.503906] [A loss: 0.896695, acc: 0.195312] 7505: [D loss: 0.705818, acc: 0.501953] [A loss: 0.752874, acc: 0.390625] 7506: [D loss: 0.707146, acc: 0.501953] [A loss: 0.906186, acc: 0.175781] 7507: [D loss: 0.687857, acc: 0.568359] [A loss: 0.752970, acc: 0.410156] 7508: [D loss: 0.721581, acc: 0.511719] [A loss: 0.940678, acc: 0.113281] 7509: [D loss: 0.692042, acc: 0.529297] [A loss: 0.723250, acc: 0.449219] 7510: [D loss: 0.718706, acc: 0.542969] [A loss: 0.901756, acc: 0.171875] 7511: [D loss: 0.695255, acc: 0.546875] [A loss: 0.782173, acc: 0.371094] 7512: [D loss: 0.700862, acc: 0.523438] [A loss: 0.855821, acc: 0.226562] 7513: [D loss: 0.709809, acc: 0.498047] [A loss: 0.802530, acc: 0.300781] 7514: [D loss: 0.707782, acc: 0.550781] [A loss: 0.905177, acc: 0.140625] 7515: [D loss: 0.698827, acc: 0.537109] [A loss: 0.771299, acc: 0.324219] 7516: [D loss: 0.705480, acc: 0.529297] [A loss: 0.942430, acc: 0.117188] 7517: [D loss: 0.689994, acc: 0.560547] [A loss: 0.777038, acc: 0.339844] 7518: [D loss: 0.712305, acc: 0.519531] [A loss: 0.922519, acc: 0.140625] 7519: [D loss: 0.720964, acc: 0.472656] [A loss: 0.733559, acc: 0.425781] 7520: [D loss: 0.726401, acc: 0.500000] [A loss: 1.004473, acc: 0.074219] 7521: [D loss: 0.699790, acc: 0.542969] [A loss: 0.666806, acc: 0.597656] 7522: [D loss: 0.734251, acc: 0.492188] [A loss: 0.978379, acc: 0.105469] 7523: [D loss: 0.707461, acc: 0.525391] [A loss: 0.681841, acc: 0.554688] 7524: [D loss: 0.716613, acc: 0.515625] [A loss: 0.930192, acc: 0.136719] 7525: [D loss: 0.688268, acc: 0.523438] [A loss: 0.691856, acc: 0.566406] 7526: [D loss: 0.720564, acc: 0.500000] [A loss: 0.966328, acc: 0.128906] 7527: [D loss: 0.702873, acc: 0.527344] [A loss: 0.716844, acc: 0.449219] 7528: [D loss: 0.716100, acc: 0.509766] [A loss: 0.874911, acc: 0.171875] 7529: [D loss: 0.717026, acc: 0.494141] [A loss: 0.725396, acc: 0.476562] 7530: [D loss: 0.711651, acc: 0.523438] [A loss: 0.900205, acc: 0.167969] 7531: [D loss: 0.706655, acc: 0.494141] [A loss: 0.752296, acc: 0.375000] 7532: [D loss: 0.706891, acc: 0.544922] [A loss: 0.795741, acc: 0.296875] 7533: [D loss: 0.705257, acc: 0.521484] [A loss: 0.897174, acc: 0.183594] 7534: [D loss: 0.716990, acc: 0.480469] [A loss: 0.756111, acc: 0.382812] 7535: [D loss: 0.713304, acc: 0.507812] [A loss: 0.883126, acc: 0.187500] 7536: [D loss: 0.701708, acc: 0.521484] [A loss: 0.776467, acc: 0.347656] 7537: [D loss: 0.703677, acc: 0.527344] [A loss: 0.883614, acc: 0.207031] 7538: [D loss: 0.685451, acc: 0.576172] [A loss: 0.725459, acc: 0.464844] 7539: [D loss: 0.729124, acc: 0.507812] [A loss: 0.958775, acc: 0.097656] 7540: [D loss: 0.721716, acc: 0.474609] [A loss: 0.666555, acc: 0.640625] 7541: [D loss: 0.726468, acc: 0.498047] [A loss: 0.890890, acc: 0.210938] 7542: [D loss: 0.699454, acc: 0.515625] [A loss: 0.762478, acc: 0.375000] 7543: [D loss: 0.726677, acc: 0.498047] [A loss: 0.973292, acc: 0.085938] 7544: [D loss: 0.700247, acc: 0.537109] [A loss: 0.705260, acc: 0.531250] 7545: [D loss: 0.714439, acc: 0.511719] [A loss: 0.932948, acc: 0.144531] 7546: [D loss: 0.694297, acc: 0.527344] [A loss: 0.767424, acc: 0.386719] 7547: [D loss: 0.711984, acc: 0.529297] [A loss: 0.841408, acc: 0.218750] 7548: [D loss: 0.692345, acc: 0.548828] [A loss: 0.829637, acc: 0.308594] 7549: [D loss: 0.715230, acc: 0.476562] [A loss: 0.807359, acc: 0.304688] 7550: [D loss: 0.711834, acc: 0.511719] [A loss: 0.892937, acc: 0.218750] 7551: [D loss: 0.695363, acc: 0.554688] [A loss: 0.822802, acc: 0.265625] 7552: [D loss: 0.707129, acc: 0.507812] [A loss: 0.899286, acc: 0.167969] 7553: [D loss: 0.694795, acc: 0.529297] [A loss: 0.767598, acc: 0.355469] 7554: [D loss: 0.716319, acc: 0.513672] [A loss: 0.998968, acc: 0.113281] 7555: [D loss: 0.695221, acc: 0.521484] [A loss: 0.662949, acc: 0.617188] 7556: [D loss: 0.733322, acc: 0.517578] [A loss: 1.006148, acc: 0.097656] 7557: [D loss: 0.708189, acc: 0.513672] [A loss: 0.698913, acc: 0.523438] 7558: [D loss: 0.726305, acc: 0.511719] [A loss: 0.966363, acc: 0.097656] 7559: [D loss: 0.719905, acc: 0.484375] [A loss: 0.691141, acc: 0.546875] 7560: [D loss: 0.720549, acc: 0.535156] [A loss: 0.968756, acc: 0.125000] 7561: [D loss: 0.704659, acc: 0.500000] [A loss: 0.699367, acc: 0.503906] 7562: [D loss: 0.730267, acc: 0.488281] [A loss: 0.885579, acc: 0.164062] 7563: [D loss: 0.700410, acc: 0.517578] [A loss: 0.799651, acc: 0.304688] 7564: [D loss: 0.714660, acc: 0.500000] [A loss: 0.881345, acc: 0.171875] 7565: [D loss: 0.699523, acc: 0.539062] [A loss: 0.762966, acc: 0.382812] 7566: [D loss: 0.723430, acc: 0.503906] [A loss: 0.898282, acc: 0.156250] 7567: [D loss: 0.702157, acc: 0.521484] [A loss: 0.738902, acc: 0.449219] 7568: [D loss: 0.733629, acc: 0.501953] [A loss: 0.894347, acc: 0.164062] 7569: [D loss: 0.707906, acc: 0.492188] [A loss: 0.757955, acc: 0.386719] 7570: [D loss: 0.708125, acc: 0.505859] [A loss: 0.971058, acc: 0.089844] 7571: [D loss: 0.704025, acc: 0.511719] [A loss: 0.684281, acc: 0.554688] 7572: [D loss: 0.722771, acc: 0.517578] [A loss: 0.999479, acc: 0.074219] 7573: [D loss: 0.717746, acc: 0.484375] [A loss: 0.706175, acc: 0.527344] 7574: [D loss: 0.729569, acc: 0.505859] [A loss: 0.929673, acc: 0.109375] 7575: [D loss: 0.701293, acc: 0.498047] [A loss: 0.714109, acc: 0.492188] 7576: [D loss: 0.709110, acc: 0.523438] [A loss: 0.874764, acc: 0.183594] 7577: [D loss: 0.682898, acc: 0.550781] [A loss: 0.720291, acc: 0.464844] 7578: [D loss: 0.715466, acc: 0.513672] [A loss: 0.882703, acc: 0.156250] 7579: [D loss: 0.714255, acc: 0.505859] [A loss: 0.750129, acc: 0.375000] 7580: [D loss: 0.702557, acc: 0.546875] [A loss: 0.869307, acc: 0.179688] 7581: [D loss: 0.710941, acc: 0.503906] [A loss: 0.736156, acc: 0.414062] 7582: [D loss: 0.709184, acc: 0.513672] [A loss: 0.911242, acc: 0.179688] 7583: [D loss: 0.704167, acc: 0.501953] [A loss: 0.744066, acc: 0.414062] 7584: [D loss: 0.698979, acc: 0.541016] [A loss: 0.898795, acc: 0.144531] 7585: [D loss: 0.687804, acc: 0.546875] [A loss: 0.760037, acc: 0.390625] 7586: [D loss: 0.705927, acc: 0.546875] [A loss: 0.922262, acc: 0.160156] 7587: [D loss: 0.713013, acc: 0.494141] [A loss: 0.714254, acc: 0.449219] 7588: [D loss: 0.720052, acc: 0.517578] [A loss: 0.912545, acc: 0.125000] 7589: [D loss: 0.690331, acc: 0.544922] [A loss: 0.720871, acc: 0.476562] 7590: [D loss: 0.728496, acc: 0.501953] [A loss: 0.995822, acc: 0.070312] 7591: [D loss: 0.700044, acc: 0.511719] [A loss: 0.680727, acc: 0.566406] 7592: [D loss: 0.714096, acc: 0.523438] [A loss: 0.959698, acc: 0.117188] 7593: [D loss: 0.708064, acc: 0.519531] [A loss: 0.686307, acc: 0.535156] 7594: [D loss: 0.713532, acc: 0.496094] [A loss: 0.891691, acc: 0.164062] 7595: [D loss: 0.693332, acc: 0.542969] [A loss: 0.772898, acc: 0.398438] 7596: [D loss: 0.694529, acc: 0.535156] [A loss: 0.832551, acc: 0.261719] 7597: [D loss: 0.695471, acc: 0.509766] [A loss: 0.748857, acc: 0.406250] 7598: [D loss: 0.708196, acc: 0.511719] [A loss: 0.868616, acc: 0.210938] 7599: [D loss: 0.694709, acc: 0.539062] [A loss: 0.776809, acc: 0.359375] 7600: [D loss: 0.720224, acc: 0.507812] [A loss: 0.862225, acc: 0.207031] 7601: [D loss: 0.688641, acc: 0.533203] [A loss: 0.698260, acc: 0.539062] 7602: [D loss: 0.719088, acc: 0.490234] [A loss: 0.900049, acc: 0.207031] 7603: [D loss: 0.699467, acc: 0.515625] [A loss: 0.807682, acc: 0.343750] 7604: [D loss: 0.711114, acc: 0.511719] [A loss: 0.804433, acc: 0.339844] 7605: [D loss: 0.701760, acc: 0.519531] [A loss: 0.782364, acc: 0.351562] 7606: [D loss: 0.700434, acc: 0.521484] [A loss: 0.852934, acc: 0.257812] 7607: [D loss: 0.698711, acc: 0.517578] [A loss: 0.783021, acc: 0.375000] 7608: [D loss: 0.707742, acc: 0.525391] [A loss: 0.883471, acc: 0.210938] 7609: [D loss: 0.713123, acc: 0.488281] [A loss: 0.753271, acc: 0.398438] 7610: [D loss: 0.717589, acc: 0.519531] [A loss: 0.910917, acc: 0.144531] 7611: [D loss: 0.710627, acc: 0.496094] [A loss: 0.741554, acc: 0.445312] 7612: [D loss: 0.720757, acc: 0.523438] [A loss: 0.857065, acc: 0.246094] 7613: [D loss: 0.705562, acc: 0.515625] [A loss: 0.772332, acc: 0.378906] 7614: [D loss: 0.718279, acc: 0.509766] [A loss: 0.909867, acc: 0.148438] 7615: [D loss: 0.725786, acc: 0.480469] [A loss: 0.682484, acc: 0.535156] 7616: [D loss: 0.730064, acc: 0.509766] [A loss: 0.951113, acc: 0.113281] 7617: [D loss: 0.706118, acc: 0.513672] [A loss: 0.757680, acc: 0.402344] 7618: [D loss: 0.707681, acc: 0.521484] [A loss: 0.847801, acc: 0.207031] 7619: [D loss: 0.708815, acc: 0.519531] [A loss: 0.834663, acc: 0.199219] 7620: [D loss: 0.704525, acc: 0.537109] [A loss: 0.877554, acc: 0.218750] 7621: [D loss: 0.692632, acc: 0.535156] [A loss: 0.749382, acc: 0.429688] 7622: [D loss: 0.705599, acc: 0.511719] [A loss: 0.902512, acc: 0.152344] 7623: [D loss: 0.695327, acc: 0.501953] [A loss: 0.750217, acc: 0.410156] 7624: [D loss: 0.710365, acc: 0.496094] [A loss: 0.873248, acc: 0.210938] 7625: [D loss: 0.706284, acc: 0.517578] [A loss: 0.891517, acc: 0.179688] 7626: [D loss: 0.706713, acc: 0.513672] [A loss: 0.799823, acc: 0.281250] 7627: [D loss: 0.716836, acc: 0.494141] [A loss: 0.866623, acc: 0.171875] 7628: [D loss: 0.693069, acc: 0.537109] [A loss: 0.792660, acc: 0.320312] 7629: [D loss: 0.715903, acc: 0.490234] [A loss: 0.940894, acc: 0.152344] 7630: [D loss: 0.708855, acc: 0.511719] [A loss: 0.687700, acc: 0.546875] 7631: [D loss: 0.723398, acc: 0.513672] [A loss: 0.993916, acc: 0.082031] 7632: [D loss: 0.704196, acc: 0.492188] [A loss: 0.709768, acc: 0.511719] 7633: [D loss: 0.711709, acc: 0.505859] [A loss: 0.884263, acc: 0.171875] 7634: [D loss: 0.704772, acc: 0.494141] [A loss: 0.698030, acc: 0.496094] 7635: [D loss: 0.728423, acc: 0.505859] [A loss: 0.948952, acc: 0.128906] 7636: [D loss: 0.704634, acc: 0.527344] [A loss: 0.683149, acc: 0.542969] 7637: [D loss: 0.719034, acc: 0.496094] [A loss: 0.955641, acc: 0.121094] 7638: [D loss: 0.707704, acc: 0.533203] [A loss: 0.732141, acc: 0.457031] 7639: [D loss: 0.693877, acc: 0.521484] [A loss: 0.837887, acc: 0.265625] 7640: [D loss: 0.716388, acc: 0.498047] [A loss: 0.799483, acc: 0.355469] 7641: [D loss: 0.708225, acc: 0.503906] [A loss: 0.797898, acc: 0.296875] 7642: [D loss: 0.695218, acc: 0.541016] [A loss: 0.785320, acc: 0.324219] 7643: [D loss: 0.689667, acc: 0.523438] [A loss: 0.794891, acc: 0.316406] 7644: [D loss: 0.706194, acc: 0.505859] [A loss: 0.789948, acc: 0.332031] 7645: [D loss: 0.712376, acc: 0.541016] [A loss: 0.819841, acc: 0.273438] 7646: [D loss: 0.709614, acc: 0.492188] [A loss: 0.892513, acc: 0.183594] 7647: [D loss: 0.702367, acc: 0.498047] [A loss: 0.728782, acc: 0.441406] 7648: [D loss: 0.716519, acc: 0.505859] [A loss: 0.936402, acc: 0.117188] 7649: [D loss: 0.681753, acc: 0.560547] [A loss: 0.718058, acc: 0.433594] 7650: [D loss: 0.733113, acc: 0.507812] [A loss: 0.885344, acc: 0.183594] 7651: [D loss: 0.710175, acc: 0.490234] [A loss: 0.747535, acc: 0.445312] 7652: [D loss: 0.695955, acc: 0.568359] [A loss: 0.841133, acc: 0.269531] 7653: [D loss: 0.692061, acc: 0.556641] [A loss: 0.725067, acc: 0.414062] 7654: [D loss: 0.697327, acc: 0.552734] [A loss: 0.907030, acc: 0.175781] 7655: [D loss: 0.705025, acc: 0.507812] [A loss: 0.791973, acc: 0.308594] 7656: [D loss: 0.695747, acc: 0.529297] [A loss: 0.793849, acc: 0.367188] 7657: [D loss: 0.705057, acc: 0.501953] [A loss: 0.900524, acc: 0.164062] 7658: [D loss: 0.716809, acc: 0.466797] [A loss: 0.772389, acc: 0.371094] 7659: [D loss: 0.722549, acc: 0.492188] [A loss: 0.870717, acc: 0.214844] 7660: [D loss: 0.720769, acc: 0.470703] [A loss: 0.805562, acc: 0.296875] 7661: [D loss: 0.706405, acc: 0.484375] [A loss: 0.899518, acc: 0.148438] 7662: [D loss: 0.708179, acc: 0.511719] [A loss: 0.789936, acc: 0.332031] 7663: [D loss: 0.700833, acc: 0.537109] [A loss: 0.989679, acc: 0.109375] 7664: [D loss: 0.701957, acc: 0.542969] [A loss: 0.687844, acc: 0.570312] 7665: [D loss: 0.737577, acc: 0.492188] [A loss: 1.010844, acc: 0.105469] 7666: [D loss: 0.731811, acc: 0.464844] [A loss: 0.666562, acc: 0.574219] 7667: [D loss: 0.732373, acc: 0.511719] [A loss: 0.917986, acc: 0.144531] 7668: [D loss: 0.700732, acc: 0.533203] [A loss: 0.740947, acc: 0.402344] 7669: [D loss: 0.709957, acc: 0.521484] [A loss: 0.861132, acc: 0.246094] 7670: [D loss: 0.697251, acc: 0.507812] [A loss: 0.804618, acc: 0.316406] 7671: [D loss: 0.703000, acc: 0.519531] [A loss: 0.822042, acc: 0.285156] 7672: [D loss: 0.689032, acc: 0.572266] [A loss: 0.787913, acc: 0.359375] 7673: [D loss: 0.721745, acc: 0.509766] [A loss: 0.899014, acc: 0.183594] 7674: [D loss: 0.708047, acc: 0.517578] [A loss: 0.772552, acc: 0.382812] 7675: [D loss: 0.720794, acc: 0.527344] [A loss: 0.985979, acc: 0.113281] 7676: [D loss: 0.710545, acc: 0.496094] [A loss: 0.699278, acc: 0.507812] 7677: [D loss: 0.736030, acc: 0.476562] [A loss: 0.927039, acc: 0.136719] 7678: [D loss: 0.690205, acc: 0.542969] [A loss: 0.704153, acc: 0.515625] 7679: [D loss: 0.719236, acc: 0.519531] [A loss: 0.985583, acc: 0.117188] 7680: [D loss: 0.683937, acc: 0.564453] [A loss: 0.707083, acc: 0.503906] 7681: [D loss: 0.721299, acc: 0.509766] [A loss: 0.837823, acc: 0.261719] 7682: [D loss: 0.706860, acc: 0.513672] [A loss: 0.770061, acc: 0.359375] 7683: [D loss: 0.690259, acc: 0.560547] [A loss: 0.814009, acc: 0.250000] 7684: [D loss: 0.706672, acc: 0.515625] [A loss: 0.876225, acc: 0.203125] 7685: [D loss: 0.700097, acc: 0.527344] [A loss: 0.748245, acc: 0.382812] 7686: [D loss: 0.708524, acc: 0.509766] [A loss: 0.863959, acc: 0.167969] 7687: [D loss: 0.703889, acc: 0.521484] [A loss: 0.824061, acc: 0.277344] 7688: [D loss: 0.709253, acc: 0.494141] [A loss: 0.875484, acc: 0.175781] 7689: [D loss: 0.707664, acc: 0.486328] [A loss: 0.760964, acc: 0.390625] 7690: [D loss: 0.717836, acc: 0.509766] [A loss: 0.983348, acc: 0.062500] 7691: [D loss: 0.716596, acc: 0.484375] [A loss: 0.688338, acc: 0.546875] 7692: [D loss: 0.726154, acc: 0.505859] [A loss: 0.908992, acc: 0.140625] 7693: [D loss: 0.677069, acc: 0.595703] [A loss: 0.726068, acc: 0.476562] 7694: [D loss: 0.707332, acc: 0.529297] [A loss: 0.832424, acc: 0.289062] 7695: [D loss: 0.699425, acc: 0.515625] [A loss: 0.859770, acc: 0.214844] 7696: [D loss: 0.704857, acc: 0.515625] [A loss: 0.790166, acc: 0.304688] 7697: [D loss: 0.721222, acc: 0.480469] [A loss: 0.920965, acc: 0.121094] 7698: [D loss: 0.681555, acc: 0.554688] [A loss: 0.784649, acc: 0.335938] 7699: [D loss: 0.702373, acc: 0.496094] [A loss: 0.854846, acc: 0.226562] 7700: [D loss: 0.706123, acc: 0.523438] [A loss: 0.789403, acc: 0.332031] 7701: [D loss: 0.716658, acc: 0.515625] [A loss: 0.913225, acc: 0.125000] 7702: [D loss: 0.699260, acc: 0.509766] [A loss: 0.722070, acc: 0.468750] 7703: [D loss: 0.721376, acc: 0.509766] [A loss: 0.989921, acc: 0.093750] 7704: [D loss: 0.699266, acc: 0.541016] [A loss: 0.720870, acc: 0.464844] 7705: [D loss: 0.732873, acc: 0.494141] [A loss: 0.935437, acc: 0.164062] 7706: [D loss: 0.694071, acc: 0.542969] [A loss: 0.676263, acc: 0.570312] 7707: [D loss: 0.736062, acc: 0.511719] [A loss: 0.914937, acc: 0.144531] 7708: [D loss: 0.700580, acc: 0.535156] [A loss: 0.757364, acc: 0.378906] 7709: [D loss: 0.705935, acc: 0.527344] [A loss: 0.944516, acc: 0.128906] 7710: [D loss: 0.693722, acc: 0.537109] [A loss: 0.762605, acc: 0.421875] 7711: [D loss: 0.700668, acc: 0.533203] [A loss: 0.928105, acc: 0.109375] 7712: [D loss: 0.703496, acc: 0.501953] [A loss: 0.757347, acc: 0.402344] 7713: [D loss: 0.747385, acc: 0.462891] [A loss: 0.833201, acc: 0.269531] 7714: [D loss: 0.707440, acc: 0.492188] [A loss: 0.774702, acc: 0.386719] 7715: [D loss: 0.693643, acc: 0.541016] [A loss: 0.836030, acc: 0.261719] 7716: [D loss: 0.699307, acc: 0.523438] [A loss: 0.805134, acc: 0.292969] 7717: [D loss: 0.702602, acc: 0.500000] [A loss: 0.767881, acc: 0.335938] 7718: [D loss: 0.707462, acc: 0.503906] [A loss: 0.974320, acc: 0.097656] 7719: [D loss: 0.692101, acc: 0.546875] [A loss: 0.679601, acc: 0.558594] 7720: [D loss: 0.751163, acc: 0.474609] [A loss: 0.932173, acc: 0.140625] 7721: [D loss: 0.707087, acc: 0.519531] [A loss: 0.716011, acc: 0.496094] 7722: [D loss: 0.700674, acc: 0.541016] [A loss: 0.888443, acc: 0.203125] 7723: [D loss: 0.720445, acc: 0.482422] [A loss: 0.780683, acc: 0.355469] 7724: [D loss: 0.708208, acc: 0.507812] [A loss: 0.860274, acc: 0.218750] 7725: [D loss: 0.704271, acc: 0.511719] [A loss: 0.753629, acc: 0.414062] 7726: [D loss: 0.702440, acc: 0.513672] [A loss: 0.825359, acc: 0.308594] 7727: [D loss: 0.700665, acc: 0.519531] [A loss: 0.806919, acc: 0.304688] 7728: [D loss: 0.708464, acc: 0.478516] [A loss: 0.821803, acc: 0.277344] 7729: [D loss: 0.713281, acc: 0.505859] [A loss: 0.845461, acc: 0.273438] 7730: [D loss: 0.714017, acc: 0.501953] [A loss: 0.848768, acc: 0.218750] 7731: [D loss: 0.706423, acc: 0.500000] [A loss: 0.815454, acc: 0.269531] 7732: [D loss: 0.704954, acc: 0.513672] [A loss: 0.889684, acc: 0.195312] 7733: [D loss: 0.702286, acc: 0.503906] [A loss: 0.738336, acc: 0.468750] 7734: [D loss: 0.720377, acc: 0.509766] [A loss: 0.984429, acc: 0.117188] 7735: [D loss: 0.696620, acc: 0.521484] [A loss: 0.708625, acc: 0.484375] 7736: [D loss: 0.714100, acc: 0.525391] [A loss: 0.855581, acc: 0.250000] 7737: [D loss: 0.700055, acc: 0.517578] [A loss: 0.743170, acc: 0.394531] 7738: [D loss: 0.715601, acc: 0.490234] [A loss: 0.849611, acc: 0.210938] 7739: [D loss: 0.691914, acc: 0.525391] [A loss: 0.794449, acc: 0.304688] 7740: [D loss: 0.687558, acc: 0.535156] [A loss: 0.871462, acc: 0.222656] 7741: [D loss: 0.708739, acc: 0.498047] [A loss: 0.773775, acc: 0.328125] 7742: [D loss: 0.728152, acc: 0.494141] [A loss: 0.902025, acc: 0.152344] 7743: [D loss: 0.706929, acc: 0.488281] [A loss: 0.778416, acc: 0.328125] 7744: [D loss: 0.712773, acc: 0.517578] [A loss: 0.874310, acc: 0.199219] 7745: [D loss: 0.695867, acc: 0.525391] [A loss: 0.822187, acc: 0.238281] 7746: [D loss: 0.705051, acc: 0.529297] [A loss: 0.834595, acc: 0.191406] 7747: [D loss: 0.699573, acc: 0.521484] [A loss: 0.808862, acc: 0.320312] 7748: [D loss: 0.695528, acc: 0.523438] [A loss: 0.882764, acc: 0.207031] 7749: [D loss: 0.707801, acc: 0.521484] [A loss: 0.829532, acc: 0.281250] 7750: [D loss: 0.713317, acc: 0.517578] [A loss: 0.788611, acc: 0.292969] 7751: [D loss: 0.714804, acc: 0.503906] [A loss: 0.859648, acc: 0.191406] 7752: [D loss: 0.692527, acc: 0.535156] [A loss: 0.734234, acc: 0.429688] 7753: [D loss: 0.724601, acc: 0.517578] [A loss: 1.023450, acc: 0.082031] 7754: [D loss: 0.720674, acc: 0.505859] [A loss: 0.632486, acc: 0.648438] 7755: [D loss: 0.727228, acc: 0.523438] [A loss: 0.943896, acc: 0.113281] 7756: [D loss: 0.693177, acc: 0.533203] [A loss: 0.703277, acc: 0.484375] 7757: [D loss: 0.721789, acc: 0.513672] [A loss: 0.901949, acc: 0.171875] 7758: [D loss: 0.714185, acc: 0.498047] [A loss: 0.766386, acc: 0.351562] 7759: [D loss: 0.703137, acc: 0.550781] [A loss: 0.836761, acc: 0.222656] 7760: [D loss: 0.707543, acc: 0.523438] [A loss: 0.803519, acc: 0.300781] 7761: [D loss: 0.698728, acc: 0.503906] [A loss: 0.830546, acc: 0.230469] 7762: [D loss: 0.701113, acc: 0.519531] [A loss: 0.812173, acc: 0.277344] 7763: [D loss: 0.720580, acc: 0.507812] [A loss: 0.940489, acc: 0.117188] 7764: [D loss: 0.690936, acc: 0.531250] [A loss: 0.734058, acc: 0.468750] 7765: [D loss: 0.710484, acc: 0.517578] [A loss: 0.895348, acc: 0.152344] 7766: [D loss: 0.690810, acc: 0.546875] [A loss: 0.779635, acc: 0.328125] 7767: [D loss: 0.697884, acc: 0.527344] [A loss: 0.865230, acc: 0.214844] 7768: [D loss: 0.710479, acc: 0.503906] [A loss: 0.850225, acc: 0.265625] 7769: [D loss: 0.713478, acc: 0.519531] [A loss: 0.822571, acc: 0.273438] 7770: [D loss: 0.686112, acc: 0.550781] [A loss: 0.789808, acc: 0.292969] 7771: [D loss: 0.699567, acc: 0.542969] [A loss: 0.889375, acc: 0.199219] 7772: [D loss: 0.699786, acc: 0.548828] [A loss: 0.773934, acc: 0.367188] 7773: [D loss: 0.706706, acc: 0.515625] [A loss: 0.917637, acc: 0.171875] 7774: [D loss: 0.697765, acc: 0.500000] [A loss: 0.738570, acc: 0.433594] 7775: [D loss: 0.708735, acc: 0.521484] [A loss: 0.952899, acc: 0.160156] 7776: [D loss: 0.705847, acc: 0.523438] [A loss: 0.696800, acc: 0.515625] 7777: [D loss: 0.739232, acc: 0.496094] [A loss: 0.859226, acc: 0.246094] 7778: [D loss: 0.695899, acc: 0.535156] [A loss: 0.787005, acc: 0.351562] 7779: [D loss: 0.695081, acc: 0.552734] [A loss: 0.852898, acc: 0.238281] 7780: [D loss: 0.705469, acc: 0.511719] [A loss: 0.832048, acc: 0.261719] 7781: [D loss: 0.700606, acc: 0.550781] [A loss: 0.852566, acc: 0.214844] 7782: [D loss: 0.698786, acc: 0.542969] [A loss: 0.752266, acc: 0.425781] 7783: [D loss: 0.726946, acc: 0.500000] [A loss: 0.980308, acc: 0.066406] 7784: [D loss: 0.700404, acc: 0.535156] [A loss: 0.696984, acc: 0.519531] 7785: [D loss: 0.728598, acc: 0.521484] [A loss: 1.012240, acc: 0.085938] 7786: [D loss: 0.675499, acc: 0.554688] [A loss: 0.716682, acc: 0.492188] 7787: [D loss: 0.713497, acc: 0.519531] [A loss: 0.897008, acc: 0.167969] 7788: [D loss: 0.707488, acc: 0.500000] [A loss: 0.697503, acc: 0.531250] 7789: [D loss: 0.710770, acc: 0.537109] [A loss: 0.872083, acc: 0.210938] 7790: [D loss: 0.700408, acc: 0.527344] [A loss: 0.806202, acc: 0.320312] 7791: [D loss: 0.709613, acc: 0.513672] [A loss: 0.879651, acc: 0.152344] 7792: [D loss: 0.696801, acc: 0.533203] [A loss: 0.664625, acc: 0.570312] 7793: [D loss: 0.718423, acc: 0.513672] [A loss: 0.996365, acc: 0.093750] 7794: [D loss: 0.705828, acc: 0.505859] [A loss: 0.689590, acc: 0.515625] 7795: [D loss: 0.739168, acc: 0.503906] [A loss: 0.979399, acc: 0.078125] 7796: [D loss: 0.696071, acc: 0.515625] [A loss: 0.725995, acc: 0.464844] 7797: [D loss: 0.713011, acc: 0.503906] [A loss: 0.931427, acc: 0.097656] 7798: [D loss: 0.701240, acc: 0.496094] [A loss: 0.713347, acc: 0.511719] 7799: [D loss: 0.715339, acc: 0.523438] [A loss: 0.920670, acc: 0.164062] 7800: [D loss: 0.683454, acc: 0.564453] [A loss: 0.745425, acc: 0.429688] 7801: [D loss: 0.698954, acc: 0.548828] [A loss: 0.830973, acc: 0.273438] 7802: [D loss: 0.693364, acc: 0.539062] [A loss: 0.739799, acc: 0.429688] 7803: [D loss: 0.726947, acc: 0.494141] [A loss: 0.890990, acc: 0.195312] 7804: [D loss: 0.700836, acc: 0.531250] [A loss: 0.770067, acc: 0.355469] 7805: [D loss: 0.715196, acc: 0.503906] [A loss: 0.822031, acc: 0.250000] 7806: [D loss: 0.700778, acc: 0.531250] [A loss: 0.831017, acc: 0.296875] 7807: [D loss: 0.719781, acc: 0.488281] [A loss: 0.868200, acc: 0.195312] 7808: [D loss: 0.691428, acc: 0.537109] [A loss: 0.709784, acc: 0.480469] 7809: [D loss: 0.713180, acc: 0.515625] [A loss: 0.904029, acc: 0.175781] 7810: [D loss: 0.708057, acc: 0.519531] [A loss: 0.746929, acc: 0.402344] 7811: [D loss: 0.702247, acc: 0.515625] [A loss: 0.904684, acc: 0.199219] 7812: [D loss: 0.696605, acc: 0.544922] [A loss: 0.741389, acc: 0.425781] 7813: [D loss: 0.705752, acc: 0.505859] [A loss: 0.924404, acc: 0.191406] 7814: [D loss: 0.691043, acc: 0.546875] [A loss: 0.714856, acc: 0.472656] 7815: [D loss: 0.718761, acc: 0.498047] [A loss: 0.949715, acc: 0.121094] 7816: [D loss: 0.686248, acc: 0.535156] [A loss: 0.694645, acc: 0.496094] 7817: [D loss: 0.715774, acc: 0.501953] [A loss: 0.884901, acc: 0.156250] 7818: [D loss: 0.685420, acc: 0.517578] [A loss: 0.721053, acc: 0.468750] 7819: [D loss: 0.699582, acc: 0.554688] [A loss: 0.912288, acc: 0.152344] 7820: [D loss: 0.704518, acc: 0.509766] [A loss: 0.804178, acc: 0.363281] 7821: [D loss: 0.706503, acc: 0.537109] [A loss: 0.864900, acc: 0.183594] 7822: [D loss: 0.702700, acc: 0.529297] [A loss: 0.856132, acc: 0.214844] 7823: [D loss: 0.706494, acc: 0.505859] [A loss: 0.816842, acc: 0.277344] 7824: [D loss: 0.718496, acc: 0.517578] [A loss: 0.903078, acc: 0.148438] 7825: [D loss: 0.699650, acc: 0.519531] [A loss: 0.768294, acc: 0.335938] 7826: [D loss: 0.705579, acc: 0.511719] [A loss: 0.864134, acc: 0.210938] 7827: [D loss: 0.699958, acc: 0.529297] [A loss: 0.792988, acc: 0.320312] 7828: [D loss: 0.725695, acc: 0.480469] [A loss: 0.824773, acc: 0.230469] 7829: [D loss: 0.724582, acc: 0.509766] [A loss: 0.958034, acc: 0.128906] 7830: [D loss: 0.710556, acc: 0.501953] [A loss: 0.702795, acc: 0.488281] 7831: [D loss: 0.725482, acc: 0.501953] [A loss: 0.959406, acc: 0.105469] 7832: [D loss: 0.716039, acc: 0.474609] [A loss: 0.724925, acc: 0.488281] 7833: [D loss: 0.713216, acc: 0.531250] [A loss: 0.974133, acc: 0.101562] 7834: [D loss: 0.704220, acc: 0.511719] [A loss: 0.698797, acc: 0.511719] 7835: [D loss: 0.713343, acc: 0.535156] [A loss: 0.950878, acc: 0.144531] 7836: [D loss: 0.695441, acc: 0.548828] [A loss: 0.733707, acc: 0.449219] 7837: [D loss: 0.722419, acc: 0.498047] [A loss: 0.892834, acc: 0.175781] 7838: [D loss: 0.696597, acc: 0.521484] [A loss: 0.797249, acc: 0.335938] 7839: [D loss: 0.704819, acc: 0.523438] [A loss: 0.900141, acc: 0.175781] 7840: [D loss: 0.695715, acc: 0.542969] [A loss: 0.770732, acc: 0.363281] 7841: [D loss: 0.710970, acc: 0.498047] [A loss: 0.930111, acc: 0.105469] 7842: [D loss: 0.703373, acc: 0.482422] [A loss: 0.694405, acc: 0.550781] 7843: [D loss: 0.707753, acc: 0.509766] [A loss: 0.920476, acc: 0.117188] 7844: [D loss: 0.698722, acc: 0.511719] [A loss: 0.710671, acc: 0.496094] 7845: [D loss: 0.726656, acc: 0.488281] [A loss: 0.974814, acc: 0.132812] 7846: [D loss: 0.692857, acc: 0.542969] [A loss: 0.761949, acc: 0.433594] 7847: [D loss: 0.721140, acc: 0.474609] [A loss: 0.914498, acc: 0.199219] 7848: [D loss: 0.712808, acc: 0.492188] [A loss: 0.767784, acc: 0.386719] 7849: [D loss: 0.722010, acc: 0.498047] [A loss: 0.869951, acc: 0.203125] 7850: [D loss: 0.691855, acc: 0.539062] [A loss: 0.830289, acc: 0.246094] 7851: [D loss: 0.703991, acc: 0.517578] [A loss: 0.783542, acc: 0.332031] 7852: [D loss: 0.713464, acc: 0.505859] [A loss: 0.833470, acc: 0.238281] 7853: [D loss: 0.702745, acc: 0.539062] [A loss: 0.782030, acc: 0.367188] 7854: [D loss: 0.717985, acc: 0.505859] [A loss: 0.833093, acc: 0.257812] 7855: [D loss: 0.698297, acc: 0.535156] [A loss: 0.797163, acc: 0.335938] 7856: [D loss: 0.714919, acc: 0.513672] [A loss: 0.856898, acc: 0.238281] 7857: [D loss: 0.700970, acc: 0.503906] [A loss: 0.846718, acc: 0.242188] 7858: [D loss: 0.692907, acc: 0.582031] [A loss: 0.802063, acc: 0.308594] 7859: [D loss: 0.727246, acc: 0.500000] [A loss: 0.935154, acc: 0.101562] 7860: [D loss: 0.695379, acc: 0.519531] [A loss: 0.725480, acc: 0.394531] 7861: [D loss: 0.704171, acc: 0.525391] [A loss: 0.927073, acc: 0.140625] 7862: [D loss: 0.708008, acc: 0.529297] [A loss: 0.747356, acc: 0.359375] 7863: [D loss: 0.698565, acc: 0.503906] [A loss: 0.925842, acc: 0.164062] 7864: [D loss: 0.712647, acc: 0.503906] [A loss: 0.767802, acc: 0.343750] 7865: [D loss: 0.723485, acc: 0.496094] [A loss: 0.877502, acc: 0.187500] 7866: [D loss: 0.699763, acc: 0.529297] [A loss: 0.709194, acc: 0.503906] 7867: [D loss: 0.715287, acc: 0.509766] [A loss: 0.899194, acc: 0.156250] 7868: [D loss: 0.713615, acc: 0.492188] [A loss: 0.723304, acc: 0.468750] 7869: [D loss: 0.723534, acc: 0.503906] [A loss: 0.948423, acc: 0.105469] 7870: [D loss: 0.709769, acc: 0.525391] [A loss: 0.687101, acc: 0.554688] 7871: [D loss: 0.725469, acc: 0.515625] [A loss: 0.962364, acc: 0.097656] 7872: [D loss: 0.716972, acc: 0.480469] [A loss: 0.695990, acc: 0.523438] 7873: [D loss: 0.715398, acc: 0.509766] [A loss: 0.864872, acc: 0.167969] 7874: [D loss: 0.693047, acc: 0.525391] [A loss: 0.718442, acc: 0.460938] 7875: [D loss: 0.713618, acc: 0.496094] [A loss: 0.863132, acc: 0.164062] 7876: [D loss: 0.700508, acc: 0.523438] [A loss: 0.755766, acc: 0.406250] 7877: [D loss: 0.702883, acc: 0.515625] [A loss: 0.862342, acc: 0.207031] 7878: [D loss: 0.707769, acc: 0.507812] [A loss: 0.761833, acc: 0.371094] 7879: [D loss: 0.705272, acc: 0.515625] [A loss: 0.880491, acc: 0.199219] 7880: [D loss: 0.705786, acc: 0.500000] [A loss: 0.781688, acc: 0.339844] 7881: [D loss: 0.715751, acc: 0.500000] [A loss: 0.857270, acc: 0.222656] 7882: [D loss: 0.705717, acc: 0.533203] [A loss: 0.788333, acc: 0.335938] 7883: [D loss: 0.708425, acc: 0.515625] [A loss: 0.875195, acc: 0.179688] 7884: [D loss: 0.693387, acc: 0.552734] [A loss: 0.765024, acc: 0.339844] 7885: [D loss: 0.713468, acc: 0.517578] [A loss: 0.938552, acc: 0.128906] 7886: [D loss: 0.682297, acc: 0.564453] [A loss: 0.760414, acc: 0.390625] 7887: [D loss: 0.718884, acc: 0.484375] [A loss: 0.915973, acc: 0.148438] 7888: [D loss: 0.695861, acc: 0.535156] [A loss: 0.753393, acc: 0.417969] 7889: [D loss: 0.716705, acc: 0.509766] [A loss: 0.883709, acc: 0.199219] 7890: [D loss: 0.702697, acc: 0.519531] [A loss: 0.744297, acc: 0.425781] 7891: [D loss: 0.712837, acc: 0.507812] [A loss: 0.921921, acc: 0.121094] 7892: [D loss: 0.705587, acc: 0.509766] [A loss: 0.752150, acc: 0.378906] 7893: [D loss: 0.717920, acc: 0.503906] [A loss: 0.964372, acc: 0.113281] 7894: [D loss: 0.694096, acc: 0.542969] [A loss: 0.705660, acc: 0.500000] 7895: [D loss: 0.723972, acc: 0.498047] [A loss: 0.997683, acc: 0.062500] 7896: [D loss: 0.714974, acc: 0.476562] [A loss: 0.669985, acc: 0.546875] 7897: [D loss: 0.718233, acc: 0.511719] [A loss: 0.925929, acc: 0.148438] 7898: [D loss: 0.682319, acc: 0.576172] [A loss: 0.698343, acc: 0.476562] 7899: [D loss: 0.712703, acc: 0.519531] [A loss: 0.864787, acc: 0.179688] 7900: [D loss: 0.713707, acc: 0.476562] [A loss: 0.778560, acc: 0.300781] 7901: [D loss: 0.705375, acc: 0.488281] [A loss: 0.800179, acc: 0.324219] 7902: [D loss: 0.717463, acc: 0.500000] [A loss: 0.781433, acc: 0.296875] 7903: [D loss: 0.710242, acc: 0.535156] [A loss: 0.907496, acc: 0.136719] 7904: [D loss: 0.705433, acc: 0.517578] [A loss: 0.747794, acc: 0.386719] 7905: [D loss: 0.716049, acc: 0.505859] [A loss: 0.922296, acc: 0.101562] 7906: [D loss: 0.700799, acc: 0.523438] [A loss: 0.739672, acc: 0.402344] 7907: [D loss: 0.714326, acc: 0.503906] [A loss: 1.010046, acc: 0.066406] 7908: [D loss: 0.702462, acc: 0.507812] [A loss: 0.711763, acc: 0.457031] 7909: [D loss: 0.726599, acc: 0.505859] [A loss: 0.922763, acc: 0.164062] 7910: [D loss: 0.683488, acc: 0.566406] [A loss: 0.711922, acc: 0.500000] 7911: [D loss: 0.716430, acc: 0.511719] [A loss: 0.955011, acc: 0.105469] 7912: [D loss: 0.698582, acc: 0.496094] [A loss: 0.740616, acc: 0.398438] 7913: [D loss: 0.716300, acc: 0.501953] [A loss: 0.930351, acc: 0.136719] 7914: [D loss: 0.698466, acc: 0.519531] [A loss: 0.765096, acc: 0.355469] 7915: [D loss: 0.707554, acc: 0.513672] [A loss: 0.919918, acc: 0.132812] 7916: [D loss: 0.700332, acc: 0.494141] [A loss: 0.777934, acc: 0.363281] 7917: [D loss: 0.707863, acc: 0.541016] [A loss: 0.857484, acc: 0.222656] 7918: [D loss: 0.698349, acc: 0.523438] [A loss: 0.745412, acc: 0.410156] 7919: [D loss: 0.701102, acc: 0.517578] [A loss: 0.865042, acc: 0.218750] 7920: [D loss: 0.689686, acc: 0.544922] [A loss: 0.763320, acc: 0.402344] 7921: [D loss: 0.714881, acc: 0.500000] [A loss: 0.941058, acc: 0.125000] 7922: [D loss: 0.698007, acc: 0.513672] [A loss: 0.710300, acc: 0.453125] 7923: [D loss: 0.722905, acc: 0.513672] [A loss: 0.983466, acc: 0.113281] 7924: [D loss: 0.699756, acc: 0.525391] [A loss: 0.670510, acc: 0.566406] 7925: [D loss: 0.720436, acc: 0.511719] [A loss: 0.970904, acc: 0.101562] 7926: [D loss: 0.690788, acc: 0.539062] [A loss: 0.700390, acc: 0.519531] 7927: [D loss: 0.710701, acc: 0.513672] [A loss: 0.948084, acc: 0.128906] 7928: [D loss: 0.702278, acc: 0.496094] [A loss: 0.715427, acc: 0.480469] 7929: [D loss: 0.704372, acc: 0.521484] [A loss: 0.857546, acc: 0.218750] 7930: [D loss: 0.694874, acc: 0.523438] [A loss: 0.736827, acc: 0.386719] 7931: [D loss: 0.711394, acc: 0.527344] [A loss: 0.839371, acc: 0.222656] 7932: [D loss: 0.685182, acc: 0.568359] [A loss: 0.758109, acc: 0.386719] 7933: [D loss: 0.706972, acc: 0.513672] [A loss: 0.836981, acc: 0.269531] 7934: [D loss: 0.702858, acc: 0.521484] [A loss: 0.776242, acc: 0.347656] 7935: [D loss: 0.712557, acc: 0.513672] [A loss: 0.913853, acc: 0.148438] 7936: [D loss: 0.694386, acc: 0.511719] [A loss: 0.733197, acc: 0.421875] 7937: [D loss: 0.702178, acc: 0.519531] [A loss: 0.946271, acc: 0.121094] 7938: [D loss: 0.709023, acc: 0.503906] [A loss: 0.701046, acc: 0.515625] 7939: [D loss: 0.725927, acc: 0.511719] [A loss: 0.933412, acc: 0.132812] 7940: [D loss: 0.702963, acc: 0.513672] [A loss: 0.747466, acc: 0.339844] 7941: [D loss: 0.698173, acc: 0.550781] [A loss: 0.816697, acc: 0.289062] 7942: [D loss: 0.710257, acc: 0.500000] [A loss: 0.792349, acc: 0.300781] 7943: [D loss: 0.696604, acc: 0.527344] [A loss: 0.825233, acc: 0.273438] 7944: [D loss: 0.701512, acc: 0.546875] [A loss: 0.728828, acc: 0.406250] 7945: [D loss: 0.722772, acc: 0.488281] [A loss: 0.939178, acc: 0.101562] 7946: [D loss: 0.694404, acc: 0.546875] [A loss: 0.740247, acc: 0.410156] 7947: [D loss: 0.718524, acc: 0.500000] [A loss: 0.885366, acc: 0.160156] 7948: [D loss: 0.701706, acc: 0.519531] [A loss: 0.791309, acc: 0.332031] 7949: [D loss: 0.698679, acc: 0.505859] [A loss: 0.861901, acc: 0.195312] 7950: [D loss: 0.714607, acc: 0.482422] [A loss: 0.763970, acc: 0.382812] 7951: [D loss: 0.703295, acc: 0.537109] [A loss: 0.877178, acc: 0.187500] 7952: [D loss: 0.690287, acc: 0.550781] [A loss: 0.767994, acc: 0.390625] 7953: [D loss: 0.702137, acc: 0.521484] [A loss: 0.965499, acc: 0.085938] 7954: [D loss: 0.700017, acc: 0.531250] [A loss: 0.750513, acc: 0.378906] 7955: [D loss: 0.703822, acc: 0.539062] [A loss: 1.023756, acc: 0.054688] 7956: [D loss: 0.697449, acc: 0.535156] [A loss: 0.652251, acc: 0.617188] 7957: [D loss: 0.741283, acc: 0.482422] [A loss: 1.059280, acc: 0.054688] 7958: [D loss: 0.716994, acc: 0.496094] [A loss: 0.678475, acc: 0.605469] 7959: [D loss: 0.730918, acc: 0.509766] [A loss: 0.968083, acc: 0.097656] 7960: [D loss: 0.707329, acc: 0.500000] [A loss: 0.737057, acc: 0.433594] 7961: [D loss: 0.712470, acc: 0.503906] [A loss: 0.861796, acc: 0.195312] 7962: [D loss: 0.703060, acc: 0.507812] [A loss: 0.805324, acc: 0.273438] 7963: [D loss: 0.719291, acc: 0.468750] [A loss: 0.827652, acc: 0.273438] 7964: [D loss: 0.688072, acc: 0.544922] [A loss: 0.727068, acc: 0.429688] 7965: [D loss: 0.708556, acc: 0.523438] [A loss: 0.909839, acc: 0.187500] 7966: [D loss: 0.707160, acc: 0.484375] [A loss: 0.747611, acc: 0.445312] 7967: [D loss: 0.707908, acc: 0.503906] [A loss: 0.839144, acc: 0.214844] 7968: [D loss: 0.692649, acc: 0.535156] [A loss: 0.738720, acc: 0.441406] 7969: [D loss: 0.699717, acc: 0.550781] [A loss: 0.921774, acc: 0.128906] 7970: [D loss: 0.706042, acc: 0.515625] [A loss: 0.723583, acc: 0.480469] 7971: [D loss: 0.724375, acc: 0.505859] [A loss: 0.895626, acc: 0.171875] 7972: [D loss: 0.695584, acc: 0.533203] [A loss: 0.727205, acc: 0.468750] 7973: [D loss: 0.724788, acc: 0.501953] [A loss: 0.867934, acc: 0.187500] 7974: [D loss: 0.701934, acc: 0.500000] [A loss: 0.775267, acc: 0.363281] 7975: [D loss: 0.700628, acc: 0.511719] [A loss: 0.935327, acc: 0.132812] 7976: [D loss: 0.695648, acc: 0.521484] [A loss: 0.698930, acc: 0.511719] 7977: [D loss: 0.708157, acc: 0.542969] [A loss: 0.950009, acc: 0.117188] 7978: [D loss: 0.704801, acc: 0.509766] [A loss: 0.740605, acc: 0.441406] 7979: [D loss: 0.730288, acc: 0.484375] [A loss: 0.896335, acc: 0.144531] 7980: [D loss: 0.693626, acc: 0.527344] [A loss: 0.720633, acc: 0.472656] 7981: [D loss: 0.706167, acc: 0.521484] [A loss: 0.925616, acc: 0.148438] 7982: [D loss: 0.708576, acc: 0.498047] [A loss: 0.735987, acc: 0.390625] 7983: [D loss: 0.718055, acc: 0.478516] [A loss: 0.964424, acc: 0.093750] 7984: [D loss: 0.708353, acc: 0.496094] [A loss: 0.746777, acc: 0.441406] 7985: [D loss: 0.708479, acc: 0.521484] [A loss: 0.858351, acc: 0.191406] 7986: [D loss: 0.703148, acc: 0.509766] [A loss: 0.779756, acc: 0.347656] 7987: [D loss: 0.711590, acc: 0.529297] [A loss: 0.854934, acc: 0.171875] 7988: [D loss: 0.701795, acc: 0.521484] [A loss: 0.796903, acc: 0.296875] 7989: [D loss: 0.726720, acc: 0.490234] [A loss: 0.862934, acc: 0.207031] 7990: [D loss: 0.714611, acc: 0.486328] [A loss: 0.825193, acc: 0.246094] 7991: [D loss: 0.699885, acc: 0.552734] [A loss: 0.865357, acc: 0.171875] 7992: [D loss: 0.710830, acc: 0.500000] [A loss: 0.837116, acc: 0.214844] 7993: [D loss: 0.695928, acc: 0.505859] [A loss: 0.808593, acc: 0.316406] 7994: [D loss: 0.715431, acc: 0.494141] [A loss: 0.962094, acc: 0.109375] 7995: [D loss: 0.712289, acc: 0.462891] [A loss: 0.683447, acc: 0.500000] 7996: [D loss: 0.719887, acc: 0.517578] [A loss: 1.017236, acc: 0.085938] 7997: [D loss: 0.706114, acc: 0.521484] [A loss: 0.644870, acc: 0.640625] 7998: [D loss: 0.724188, acc: 0.511719] [A loss: 0.964572, acc: 0.105469] 7999: [D loss: 0.696599, acc: 0.501953] [A loss: 0.696960, acc: 0.546875] 8000: [D loss: 0.702788, acc: 0.544922] [A loss: 0.912881, acc: 0.136719] 8001: [D loss: 0.711470, acc: 0.519531] [A loss: 0.756952, acc: 0.394531] 8002: [D loss: 0.713507, acc: 0.509766] [A loss: 0.812248, acc: 0.296875] 8003: [D loss: 0.706947, acc: 0.490234] [A loss: 0.791897, acc: 0.308594] 8004: [D loss: 0.710982, acc: 0.533203] [A loss: 0.877463, acc: 0.230469] 8005: [D loss: 0.705554, acc: 0.533203] [A loss: 0.766143, acc: 0.339844] 8006: [D loss: 0.714179, acc: 0.490234] [A loss: 0.837461, acc: 0.226562] 8007: [D loss: 0.699356, acc: 0.539062] [A loss: 0.801650, acc: 0.324219] 8008: [D loss: 0.707427, acc: 0.498047] [A loss: 0.865942, acc: 0.191406] 8009: [D loss: 0.693477, acc: 0.535156] [A loss: 0.786932, acc: 0.335938] 8010: [D loss: 0.707155, acc: 0.515625] [A loss: 0.954810, acc: 0.097656] 8011: [D loss: 0.704302, acc: 0.513672] [A loss: 0.681210, acc: 0.531250] 8012: [D loss: 0.722642, acc: 0.513672] [A loss: 0.970636, acc: 0.093750] 8013: [D loss: 0.696477, acc: 0.523438] [A loss: 0.687623, acc: 0.562500] 8014: [D loss: 0.722205, acc: 0.535156] [A loss: 1.013844, acc: 0.066406] 8015: [D loss: 0.703975, acc: 0.511719] [A loss: 0.680998, acc: 0.554688] 8016: [D loss: 0.712998, acc: 0.521484] [A loss: 0.906565, acc: 0.167969] 8017: [D loss: 0.715023, acc: 0.490234] [A loss: 0.729996, acc: 0.480469] 8018: [D loss: 0.725530, acc: 0.529297] [A loss: 0.881030, acc: 0.207031] 8019: [D loss: 0.699703, acc: 0.521484] [A loss: 0.800695, acc: 0.308594] 8020: [D loss: 0.694568, acc: 0.546875] [A loss: 0.814735, acc: 0.242188] 8021: [D loss: 0.695256, acc: 0.517578] [A loss: 0.787565, acc: 0.343750] 8022: [D loss: 0.695232, acc: 0.529297] [A loss: 0.852937, acc: 0.218750] 8023: [D loss: 0.700015, acc: 0.517578] [A loss: 0.861362, acc: 0.167969] 8024: [D loss: 0.692255, acc: 0.546875] [A loss: 0.785771, acc: 0.328125] 8025: [D loss: 0.700045, acc: 0.548828] [A loss: 0.989297, acc: 0.101562] 8026: [D loss: 0.706265, acc: 0.523438] [A loss: 0.685294, acc: 0.531250] 8027: [D loss: 0.714368, acc: 0.535156] [A loss: 0.979643, acc: 0.078125] 8028: [D loss: 0.715273, acc: 0.500000] [A loss: 0.662048, acc: 0.605469] 8029: [D loss: 0.713818, acc: 0.519531] [A loss: 0.923813, acc: 0.125000] 8030: [D loss: 0.694596, acc: 0.533203] [A loss: 0.711928, acc: 0.460938] 8031: [D loss: 0.716815, acc: 0.511719] [A loss: 0.912391, acc: 0.164062] 8032: [D loss: 0.706237, acc: 0.505859] [A loss: 0.717332, acc: 0.472656] 8033: [D loss: 0.708185, acc: 0.529297] [A loss: 0.845382, acc: 0.199219] 8034: [D loss: 0.691425, acc: 0.546875] [A loss: 0.723985, acc: 0.468750] 8035: [D loss: 0.705127, acc: 0.531250] [A loss: 0.892022, acc: 0.171875] 8036: [D loss: 0.707128, acc: 0.521484] [A loss: 0.737296, acc: 0.441406] 8037: [D loss: 0.725668, acc: 0.498047] [A loss: 0.898351, acc: 0.164062] 8038: [D loss: 0.690573, acc: 0.541016] [A loss: 0.784506, acc: 0.304688] 8039: [D loss: 0.725205, acc: 0.474609] [A loss: 0.927849, acc: 0.113281] 8040: [D loss: 0.706638, acc: 0.513672] [A loss: 0.746197, acc: 0.375000] 8041: [D loss: 0.713662, acc: 0.492188] [A loss: 0.897400, acc: 0.167969] 8042: [D loss: 0.706071, acc: 0.523438] [A loss: 0.747987, acc: 0.378906] 8043: [D loss: 0.714452, acc: 0.500000] [A loss: 0.944105, acc: 0.097656] 8044: [D loss: 0.691312, acc: 0.531250] [A loss: 0.733145, acc: 0.437500] 8045: [D loss: 0.701759, acc: 0.539062] [A loss: 0.914880, acc: 0.128906] 8046: [D loss: 0.704532, acc: 0.507812] [A loss: 0.722526, acc: 0.441406] 8047: [D loss: 0.724998, acc: 0.492188] [A loss: 0.923874, acc: 0.125000] 8048: [D loss: 0.695397, acc: 0.533203] [A loss: 0.706505, acc: 0.523438] 8049: [D loss: 0.714715, acc: 0.517578] [A loss: 0.976320, acc: 0.113281] 8050: [D loss: 0.710323, acc: 0.511719] [A loss: 0.681955, acc: 0.558594] 8051: [D loss: 0.725251, acc: 0.490234] [A loss: 0.933302, acc: 0.113281] 8052: [D loss: 0.706821, acc: 0.488281] [A loss: 0.729461, acc: 0.425781] 8053: [D loss: 0.719124, acc: 0.519531] [A loss: 0.874291, acc: 0.171875] 8054: [D loss: 0.694614, acc: 0.515625] [A loss: 0.738615, acc: 0.433594] 8055: [D loss: 0.708964, acc: 0.501953] [A loss: 0.884902, acc: 0.183594] 8056: [D loss: 0.690471, acc: 0.566406] [A loss: 0.776163, acc: 0.351562] 8057: [D loss: 0.706398, acc: 0.517578] [A loss: 0.829438, acc: 0.261719] 8058: [D loss: 0.690280, acc: 0.542969] [A loss: 0.829163, acc: 0.261719] 8059: [D loss: 0.718140, acc: 0.515625] [A loss: 0.817949, acc: 0.277344] 8060: [D loss: 0.706830, acc: 0.484375] [A loss: 0.842946, acc: 0.207031] 8061: [D loss: 0.710703, acc: 0.482422] [A loss: 0.790300, acc: 0.328125] 8062: [D loss: 0.703417, acc: 0.531250] [A loss: 0.780793, acc: 0.335938] 8063: [D loss: 0.701093, acc: 0.552734] [A loss: 0.854772, acc: 0.242188] 8064: [D loss: 0.699645, acc: 0.525391] [A loss: 0.831556, acc: 0.226562] 8065: [D loss: 0.700618, acc: 0.513672] [A loss: 0.884721, acc: 0.156250] 8066: [D loss: 0.683347, acc: 0.537109] [A loss: 0.739294, acc: 0.429688] 8067: [D loss: 0.712011, acc: 0.511719] [A loss: 0.925781, acc: 0.144531] 8068: [D loss: 0.712488, acc: 0.486328] [A loss: 0.713677, acc: 0.460938] 8069: [D loss: 0.713422, acc: 0.533203] [A loss: 0.928079, acc: 0.105469] 8070: [D loss: 0.695517, acc: 0.509766] [A loss: 0.727145, acc: 0.472656] 8071: [D loss: 0.715693, acc: 0.517578] [A loss: 0.974474, acc: 0.097656] 8072: [D loss: 0.694913, acc: 0.558594] [A loss: 0.716303, acc: 0.480469] 8073: [D loss: 0.708674, acc: 0.521484] [A loss: 0.942980, acc: 0.144531] 8074: [D loss: 0.690602, acc: 0.554688] [A loss: 0.670071, acc: 0.566406] 8075: [D loss: 0.735497, acc: 0.503906] [A loss: 0.932413, acc: 0.132812] 8076: [D loss: 0.699616, acc: 0.505859] [A loss: 0.714584, acc: 0.507812] 8077: [D loss: 0.729519, acc: 0.521484] [A loss: 0.881526, acc: 0.171875] 8078: [D loss: 0.708137, acc: 0.496094] [A loss: 0.738158, acc: 0.437500] 8079: [D loss: 0.718427, acc: 0.486328] [A loss: 0.847825, acc: 0.250000] 8080: [D loss: 0.704242, acc: 0.509766] [A loss: 0.771107, acc: 0.382812] 8081: [D loss: 0.708467, acc: 0.507812] [A loss: 0.857931, acc: 0.222656] 8082: [D loss: 0.696419, acc: 0.519531] [A loss: 0.796549, acc: 0.285156] 8083: [D loss: 0.700807, acc: 0.513672] [A loss: 0.823662, acc: 0.257812] 8084: [D loss: 0.705239, acc: 0.523438] [A loss: 0.848494, acc: 0.207031] 8085: [D loss: 0.709395, acc: 0.498047] [A loss: 0.784992, acc: 0.289062] 8086: [D loss: 0.714233, acc: 0.472656] [A loss: 0.830129, acc: 0.230469] 8087: [D loss: 0.696206, acc: 0.548828] [A loss: 0.816847, acc: 0.265625] 8088: [D loss: 0.696875, acc: 0.529297] [A loss: 0.841163, acc: 0.277344] 8089: [D loss: 0.707027, acc: 0.537109] [A loss: 0.940044, acc: 0.101562] 8090: [D loss: 0.701300, acc: 0.501953] [A loss: 0.682834, acc: 0.535156] 8091: [D loss: 0.735390, acc: 0.501953] [A loss: 0.945616, acc: 0.136719] 8092: [D loss: 0.692004, acc: 0.531250] [A loss: 0.725028, acc: 0.453125] 8093: [D loss: 0.730292, acc: 0.490234] [A loss: 0.917245, acc: 0.125000] 8094: [D loss: 0.703252, acc: 0.503906] [A loss: 0.731318, acc: 0.406250] 8095: [D loss: 0.695273, acc: 0.517578] [A loss: 0.918620, acc: 0.109375] 8096: [D loss: 0.694994, acc: 0.531250] [A loss: 0.732974, acc: 0.390625] 8097: [D loss: 0.722423, acc: 0.500000] [A loss: 0.926402, acc: 0.113281] 8098: [D loss: 0.691851, acc: 0.539062] [A loss: 0.715716, acc: 0.441406] 8099: [D loss: 0.731681, acc: 0.488281] [A loss: 1.019652, acc: 0.054688] 8100: [D loss: 0.695892, acc: 0.523438] [A loss: 0.699152, acc: 0.507812] 8101: [D loss: 0.732715, acc: 0.517578] [A loss: 0.948741, acc: 0.093750] 8102: [D loss: 0.710316, acc: 0.480469] [A loss: 0.727441, acc: 0.417969] 8103: [D loss: 0.711560, acc: 0.529297] [A loss: 0.856287, acc: 0.175781] 8104: [D loss: 0.705689, acc: 0.507812] [A loss: 0.807269, acc: 0.265625] 8105: [D loss: 0.716994, acc: 0.498047] [A loss: 0.818690, acc: 0.230469] 8106: [D loss: 0.701290, acc: 0.539062] [A loss: 0.805276, acc: 0.281250] 8107: [D loss: 0.699355, acc: 0.541016] [A loss: 0.880034, acc: 0.171875] 8108: [D loss: 0.684238, acc: 0.537109] [A loss: 0.758081, acc: 0.414062] 8109: [D loss: 0.699237, acc: 0.550781] [A loss: 0.852554, acc: 0.218750] 8110: [D loss: 0.699203, acc: 0.517578] [A loss: 0.792595, acc: 0.292969] 8111: [D loss: 0.690066, acc: 0.552734] [A loss: 0.779667, acc: 0.347656] 8112: [D loss: 0.708419, acc: 0.500000] [A loss: 0.914513, acc: 0.140625] 8113: [D loss: 0.701546, acc: 0.509766] [A loss: 0.772567, acc: 0.316406] 8114: [D loss: 0.714597, acc: 0.488281] [A loss: 1.021101, acc: 0.058594] 8115: [D loss: 0.697333, acc: 0.539062] [A loss: 0.687478, acc: 0.566406] 8116: [D loss: 0.715476, acc: 0.511719] [A loss: 1.022384, acc: 0.066406] 8117: [D loss: 0.678709, acc: 0.566406] [A loss: 0.650840, acc: 0.625000] 8118: [D loss: 0.732141, acc: 0.515625] [A loss: 0.934561, acc: 0.125000] 8119: [D loss: 0.699247, acc: 0.523438] [A loss: 0.707048, acc: 0.496094] 8120: [D loss: 0.703274, acc: 0.515625] [A loss: 0.971541, acc: 0.082031] 8121: [D loss: 0.696040, acc: 0.525391] [A loss: 0.740350, acc: 0.414062] 8122: [D loss: 0.722027, acc: 0.500000] [A loss: 0.852699, acc: 0.230469] 8123: [D loss: 0.715256, acc: 0.478516] [A loss: 0.851450, acc: 0.207031] 8124: [D loss: 0.701409, acc: 0.537109] [A loss: 0.755685, acc: 0.351562] 8125: [D loss: 0.708924, acc: 0.533203] [A loss: 0.918588, acc: 0.136719] 8126: [D loss: 0.696969, acc: 0.537109] [A loss: 0.738470, acc: 0.417969] 8127: [D loss: 0.715668, acc: 0.521484] [A loss: 0.958067, acc: 0.101562] 8128: [D loss: 0.707651, acc: 0.496094] [A loss: 0.694950, acc: 0.531250] 8129: [D loss: 0.722461, acc: 0.496094] [A loss: 0.926041, acc: 0.136719] 8130: [D loss: 0.696726, acc: 0.494141] [A loss: 0.730589, acc: 0.460938] 8131: [D loss: 0.723275, acc: 0.513672] [A loss: 0.908333, acc: 0.148438] 8132: [D loss: 0.706588, acc: 0.503906] [A loss: 0.808141, acc: 0.300781] 8133: [D loss: 0.716585, acc: 0.480469] [A loss: 0.842123, acc: 0.226562] 8134: [D loss: 0.709053, acc: 0.511719] [A loss: 0.834970, acc: 0.238281] 8135: [D loss: 0.692838, acc: 0.503906] [A loss: 0.844381, acc: 0.187500] 8136: [D loss: 0.702521, acc: 0.515625] [A loss: 0.834027, acc: 0.242188] 8137: [D loss: 0.695823, acc: 0.523438] [A loss: 0.820331, acc: 0.273438] 8138: [D loss: 0.702676, acc: 0.527344] [A loss: 0.858215, acc: 0.210938] 8139: [D loss: 0.692907, acc: 0.537109] [A loss: 0.794400, acc: 0.300781] 8140: [D loss: 0.702220, acc: 0.519531] [A loss: 0.874221, acc: 0.175781] 8141: [D loss: 0.690901, acc: 0.533203] [A loss: 0.777854, acc: 0.343750] 8142: [D loss: 0.707737, acc: 0.500000] [A loss: 0.870352, acc: 0.222656] 8143: [D loss: 0.698692, acc: 0.517578] [A loss: 0.772393, acc: 0.347656] 8144: [D loss: 0.706806, acc: 0.533203] [A loss: 0.906651, acc: 0.156250] 8145: [D loss: 0.690838, acc: 0.544922] [A loss: 0.761205, acc: 0.414062] 8146: [D loss: 0.729136, acc: 0.496094] [A loss: 0.861745, acc: 0.195312] 8147: [D loss: 0.699974, acc: 0.507812] [A loss: 0.790047, acc: 0.320312] 8148: [D loss: 0.726952, acc: 0.464844] [A loss: 0.866350, acc: 0.218750] 8149: [D loss: 0.698208, acc: 0.541016] [A loss: 0.720167, acc: 0.457031] 8150: [D loss: 0.718223, acc: 0.507812] [A loss: 0.971541, acc: 0.117188] 8151: [D loss: 0.703651, acc: 0.505859] [A loss: 0.690643, acc: 0.519531] 8152: [D loss: 0.722045, acc: 0.509766] [A loss: 0.912677, acc: 0.171875] 8153: [D loss: 0.704523, acc: 0.517578] [A loss: 0.802374, acc: 0.277344] 8154: [D loss: 0.709767, acc: 0.509766] [A loss: 0.839780, acc: 0.234375] 8155: [D loss: 0.712264, acc: 0.494141] [A loss: 0.771919, acc: 0.351562] 8156: [D loss: 0.706971, acc: 0.523438] [A loss: 0.868174, acc: 0.199219] 8157: [D loss: 0.706962, acc: 0.525391] [A loss: 0.727473, acc: 0.484375] 8158: [D loss: 0.711395, acc: 0.531250] [A loss: 0.976353, acc: 0.132812] 8159: [D loss: 0.697467, acc: 0.531250] [A loss: 0.634930, acc: 0.687500] 8160: [D loss: 0.731118, acc: 0.511719] [A loss: 0.970358, acc: 0.125000] 8161: [D loss: 0.712662, acc: 0.486328] [A loss: 0.662402, acc: 0.593750] 8162: [D loss: 0.712197, acc: 0.507812] [A loss: 0.847860, acc: 0.203125] 8163: [D loss: 0.701317, acc: 0.490234] [A loss: 0.725072, acc: 0.480469] 8164: [D loss: 0.708589, acc: 0.525391] [A loss: 0.865475, acc: 0.214844] 8165: [D loss: 0.702876, acc: 0.492188] [A loss: 0.716152, acc: 0.445312] 8166: [D loss: 0.739831, acc: 0.486328] [A loss: 0.871669, acc: 0.191406] 8167: [D loss: 0.699771, acc: 0.501953] [A loss: 0.777969, acc: 0.328125] 8168: [D loss: 0.694264, acc: 0.529297] [A loss: 0.842286, acc: 0.187500] 8169: [D loss: 0.709869, acc: 0.500000] [A loss: 0.935392, acc: 0.148438] 8170: [D loss: 0.691062, acc: 0.529297] [A loss: 0.712214, acc: 0.453125] 8171: [D loss: 0.725873, acc: 0.505859] [A loss: 0.874510, acc: 0.167969] 8172: [D loss: 0.711753, acc: 0.476562] [A loss: 0.750646, acc: 0.390625] 8173: [D loss: 0.717291, acc: 0.476562] [A loss: 0.872984, acc: 0.152344] 8174: [D loss: 0.685670, acc: 0.566406] [A loss: 0.796094, acc: 0.308594] 8175: [D loss: 0.704120, acc: 0.517578] [A loss: 1.003925, acc: 0.093750] 8176: [D loss: 0.688591, acc: 0.550781] [A loss: 0.711477, acc: 0.503906] 8177: [D loss: 0.725502, acc: 0.482422] [A loss: 0.949454, acc: 0.105469] 8178: [D loss: 0.709805, acc: 0.509766] [A loss: 0.716214, acc: 0.464844] 8179: [D loss: 0.715021, acc: 0.509766] [A loss: 0.924197, acc: 0.121094] 8180: [D loss: 0.703041, acc: 0.507812] [A loss: 0.753960, acc: 0.398438] 8181: [D loss: 0.727087, acc: 0.484375] [A loss: 0.949715, acc: 0.097656] 8182: [D loss: 0.672124, acc: 0.583984] [A loss: 0.732823, acc: 0.421875] 8183: [D loss: 0.719912, acc: 0.509766] [A loss: 0.991883, acc: 0.089844] 8184: [D loss: 0.707990, acc: 0.505859] [A loss: 0.688087, acc: 0.558594] 8185: [D loss: 0.713454, acc: 0.507812] [A loss: 0.878927, acc: 0.179688] 8186: [D loss: 0.685217, acc: 0.552734] [A loss: 0.699303, acc: 0.511719] 8187: [D loss: 0.718060, acc: 0.505859] [A loss: 1.031509, acc: 0.074219] 8188: [D loss: 0.678626, acc: 0.570312] [A loss: 0.707781, acc: 0.496094] 8189: [D loss: 0.702940, acc: 0.539062] [A loss: 0.898150, acc: 0.183594] 8190: [D loss: 0.702506, acc: 0.525391] [A loss: 0.735077, acc: 0.433594] 8191: [D loss: 0.695532, acc: 0.537109] [A loss: 0.846699, acc: 0.210938] 8192: [D loss: 0.703964, acc: 0.507812] [A loss: 0.784388, acc: 0.347656] 8193: [D loss: 0.713529, acc: 0.515625] [A loss: 0.862867, acc: 0.214844] 8194: [D loss: 0.709221, acc: 0.501953] [A loss: 0.801257, acc: 0.277344] 8195: [D loss: 0.711971, acc: 0.490234] [A loss: 0.853827, acc: 0.167969] 8196: [D loss: 0.691444, acc: 0.544922] [A loss: 0.817097, acc: 0.292969] 8197: [D loss: 0.703568, acc: 0.517578] [A loss: 0.841857, acc: 0.195312] 8198: [D loss: 0.706674, acc: 0.535156] [A loss: 0.773359, acc: 0.367188] 8199: [D loss: 0.707166, acc: 0.535156] [A loss: 0.869203, acc: 0.261719] 8200: [D loss: 0.712316, acc: 0.503906] [A loss: 0.845085, acc: 0.226562] 8201: [D loss: 0.696994, acc: 0.537109] [A loss: 0.780868, acc: 0.324219] 8202: [D loss: 0.717006, acc: 0.521484] [A loss: 0.867052, acc: 0.207031] 8203: [D loss: 0.700484, acc: 0.503906] [A loss: 0.677374, acc: 0.566406] 8204: [D loss: 0.727137, acc: 0.507812] [A loss: 0.994634, acc: 0.054688] 8205: [D loss: 0.700277, acc: 0.525391] [A loss: 0.680213, acc: 0.554688] 8206: [D loss: 0.718140, acc: 0.517578] [A loss: 0.878379, acc: 0.179688] 8207: [D loss: 0.691413, acc: 0.533203] [A loss: 0.751175, acc: 0.398438] 8208: [D loss: 0.722528, acc: 0.490234] [A loss: 0.835051, acc: 0.246094] 8209: [D loss: 0.700081, acc: 0.533203] [A loss: 0.838086, acc: 0.250000] 8210: [D loss: 0.709687, acc: 0.509766] [A loss: 0.770617, acc: 0.335938] 8211: [D loss: 0.707064, acc: 0.517578] [A loss: 0.861944, acc: 0.191406] 8212: [D loss: 0.702415, acc: 0.513672] [A loss: 0.814912, acc: 0.285156] 8213: [D loss: 0.697461, acc: 0.525391] [A loss: 0.893503, acc: 0.167969] 8214: [D loss: 0.692805, acc: 0.519531] [A loss: 0.716538, acc: 0.507812] 8215: [D loss: 0.725619, acc: 0.503906] [A loss: 0.926959, acc: 0.128906] 8216: [D loss: 0.683275, acc: 0.544922] [A loss: 0.733314, acc: 0.429688] 8217: [D loss: 0.708763, acc: 0.513672] [A loss: 0.880393, acc: 0.191406] 8218: [D loss: 0.713821, acc: 0.503906] [A loss: 0.792515, acc: 0.324219] 8219: [D loss: 0.704235, acc: 0.541016] [A loss: 0.880875, acc: 0.156250] 8220: [D loss: 0.702591, acc: 0.513672] [A loss: 0.734422, acc: 0.433594] 8221: [D loss: 0.703729, acc: 0.509766] [A loss: 0.856091, acc: 0.207031] 8222: [D loss: 0.708667, acc: 0.525391] [A loss: 0.827763, acc: 0.246094] 8223: [D loss: 0.708952, acc: 0.501953] [A loss: 0.854000, acc: 0.250000] 8224: [D loss: 0.690819, acc: 0.554688] [A loss: 0.776281, acc: 0.355469] 8225: [D loss: 0.709160, acc: 0.517578] [A loss: 1.035718, acc: 0.093750] 8226: [D loss: 0.717153, acc: 0.490234] [A loss: 0.662909, acc: 0.558594] 8227: [D loss: 0.730234, acc: 0.521484] [A loss: 0.933779, acc: 0.097656] 8228: [D loss: 0.694657, acc: 0.515625] [A loss: 0.731493, acc: 0.464844] 8229: [D loss: 0.706571, acc: 0.535156] [A loss: 0.979945, acc: 0.085938] 8230: [D loss: 0.696614, acc: 0.527344] [A loss: 0.710012, acc: 0.484375] 8231: [D loss: 0.704095, acc: 0.529297] [A loss: 0.848381, acc: 0.199219] 8232: [D loss: 0.705948, acc: 0.523438] [A loss: 0.817738, acc: 0.234375] 8233: [D loss: 0.697734, acc: 0.505859] [A loss: 0.877261, acc: 0.199219] 8234: [D loss: 0.707344, acc: 0.501953] [A loss: 0.810567, acc: 0.273438] 8235: [D loss: 0.700723, acc: 0.527344] [A loss: 0.810509, acc: 0.269531] 8236: [D loss: 0.698349, acc: 0.527344] [A loss: 0.887745, acc: 0.207031] 8237: [D loss: 0.699122, acc: 0.511719] [A loss: 0.808793, acc: 0.300781] 8238: [D loss: 0.717776, acc: 0.509766] [A loss: 0.919010, acc: 0.132812] 8239: [D loss: 0.703234, acc: 0.501953] [A loss: 0.679855, acc: 0.546875] 8240: [D loss: 0.759820, acc: 0.482422] [A loss: 1.015241, acc: 0.058594] 8241: [D loss: 0.711678, acc: 0.488281] [A loss: 0.672453, acc: 0.578125] 8242: [D loss: 0.738682, acc: 0.507812] [A loss: 0.948661, acc: 0.109375] 8243: [D loss: 0.705050, acc: 0.521484] [A loss: 0.725862, acc: 0.441406] 8244: [D loss: 0.730847, acc: 0.529297] [A loss: 0.927505, acc: 0.160156] 8245: [D loss: 0.714457, acc: 0.466797] [A loss: 0.790897, acc: 0.328125] 8246: [D loss: 0.714681, acc: 0.517578] [A loss: 0.857657, acc: 0.207031] 8247: [D loss: 0.702019, acc: 0.500000] [A loss: 0.736412, acc: 0.449219] 8248: [D loss: 0.700578, acc: 0.535156] [A loss: 0.880537, acc: 0.199219] 8249: [D loss: 0.696738, acc: 0.537109] [A loss: 0.716767, acc: 0.484375] 8250: [D loss: 0.715131, acc: 0.486328] [A loss: 0.935031, acc: 0.160156] 8251: [D loss: 0.688687, acc: 0.544922] [A loss: 0.784695, acc: 0.371094] 8252: [D loss: 0.704028, acc: 0.529297] [A loss: 0.863542, acc: 0.234375] 8253: [D loss: 0.724696, acc: 0.468750] [A loss: 0.792944, acc: 0.304688] 8254: [D loss: 0.704849, acc: 0.515625] [A loss: 0.838278, acc: 0.250000] 8255: [D loss: 0.710233, acc: 0.490234] [A loss: 0.793781, acc: 0.332031] 8256: [D loss: 0.698090, acc: 0.511719] [A loss: 0.811511, acc: 0.289062] 8257: [D loss: 0.700734, acc: 0.523438] [A loss: 0.911070, acc: 0.140625] 8258: [D loss: 0.706338, acc: 0.525391] [A loss: 0.786050, acc: 0.339844] 8259: [D loss: 0.712233, acc: 0.503906] [A loss: 0.832729, acc: 0.218750] 8260: [D loss: 0.700721, acc: 0.531250] [A loss: 0.812775, acc: 0.324219] 8261: [D loss: 0.704617, acc: 0.517578] [A loss: 0.911337, acc: 0.183594] 8262: [D loss: 0.697350, acc: 0.552734] [A loss: 0.768110, acc: 0.304688] 8263: [D loss: 0.709367, acc: 0.527344] [A loss: 0.934146, acc: 0.121094] 8264: [D loss: 0.700435, acc: 0.488281] [A loss: 0.708426, acc: 0.464844] 8265: [D loss: 0.721149, acc: 0.492188] [A loss: 0.898294, acc: 0.105469] 8266: [D loss: 0.706004, acc: 0.501953] [A loss: 0.752048, acc: 0.406250] 8267: [D loss: 0.698593, acc: 0.519531] [A loss: 0.881660, acc: 0.199219] 8268: [D loss: 0.709766, acc: 0.519531] [A loss: 0.747121, acc: 0.394531] 8269: [D loss: 0.709702, acc: 0.523438] [A loss: 0.991025, acc: 0.093750] 8270: [D loss: 0.707823, acc: 0.492188] [A loss: 0.742327, acc: 0.429688] 8271: [D loss: 0.718481, acc: 0.521484] [A loss: 0.856746, acc: 0.199219] 8272: [D loss: 0.704969, acc: 0.552734] [A loss: 0.876504, acc: 0.152344] 8273: [D loss: 0.692955, acc: 0.537109] [A loss: 0.823839, acc: 0.285156] 8274: [D loss: 0.712641, acc: 0.509766] [A loss: 0.912537, acc: 0.148438] 8275: [D loss: 0.702553, acc: 0.498047] [A loss: 0.702689, acc: 0.488281] 8276: [D loss: 0.698558, acc: 0.544922] [A loss: 0.954447, acc: 0.117188] 8277: [D loss: 0.702793, acc: 0.507812] [A loss: 0.697366, acc: 0.531250] 8278: [D loss: 0.717090, acc: 0.507812] [A loss: 0.956578, acc: 0.128906] 8279: [D loss: 0.711380, acc: 0.519531] [A loss: 0.688163, acc: 0.515625] 8280: [D loss: 0.714883, acc: 0.509766] [A loss: 0.917556, acc: 0.117188] 8281: [D loss: 0.701652, acc: 0.511719] [A loss: 0.746592, acc: 0.433594] 8282: [D loss: 0.704224, acc: 0.521484] [A loss: 0.836082, acc: 0.234375] 8283: [D loss: 0.694712, acc: 0.533203] [A loss: 0.778330, acc: 0.335938] 8284: [D loss: 0.695578, acc: 0.556641] [A loss: 0.841638, acc: 0.257812] 8285: [D loss: 0.702976, acc: 0.529297] [A loss: 0.842215, acc: 0.218750] 8286: [D loss: 0.707520, acc: 0.509766] [A loss: 0.817564, acc: 0.246094] 8287: [D loss: 0.698206, acc: 0.542969] [A loss: 0.881601, acc: 0.167969] 8288: [D loss: 0.696598, acc: 0.529297] [A loss: 0.789581, acc: 0.312500] 8289: [D loss: 0.707931, acc: 0.519531] [A loss: 0.900083, acc: 0.167969] 8290: [D loss: 0.704370, acc: 0.517578] [A loss: 0.745532, acc: 0.414062] 8291: [D loss: 0.720527, acc: 0.517578] [A loss: 0.919091, acc: 0.121094] 8292: [D loss: 0.698284, acc: 0.525391] [A loss: 0.734339, acc: 0.457031] 8293: [D loss: 0.722204, acc: 0.496094] [A loss: 0.996494, acc: 0.109375] 8294: [D loss: 0.698733, acc: 0.521484] [A loss: 0.686630, acc: 0.531250] 8295: [D loss: 0.717858, acc: 0.517578] [A loss: 0.996080, acc: 0.054688] 8296: [D loss: 0.694142, acc: 0.541016] [A loss: 0.752498, acc: 0.359375] 8297: [D loss: 0.720682, acc: 0.486328] [A loss: 0.852558, acc: 0.203125] 8298: [D loss: 0.708421, acc: 0.498047] [A loss: 0.788563, acc: 0.308594] 8299: [D loss: 0.693459, acc: 0.523438] [A loss: 0.856528, acc: 0.242188] 8300: [D loss: 0.702098, acc: 0.505859] [A loss: 0.789938, acc: 0.281250] 8301: [D loss: 0.705150, acc: 0.511719] [A loss: 0.877067, acc: 0.183594] 8302: [D loss: 0.711226, acc: 0.503906] [A loss: 0.703346, acc: 0.519531] 8303: [D loss: 0.714952, acc: 0.525391] [A loss: 0.944571, acc: 0.121094] 8304: [D loss: 0.704359, acc: 0.501953] [A loss: 0.691327, acc: 0.503906] 8305: [D loss: 0.709490, acc: 0.509766] [A loss: 0.911729, acc: 0.167969] 8306: [D loss: 0.693014, acc: 0.531250] [A loss: 0.723902, acc: 0.476562] 8307: [D loss: 0.708853, acc: 0.494141] [A loss: 0.880990, acc: 0.144531] 8308: [D loss: 0.702372, acc: 0.480469] [A loss: 0.781303, acc: 0.332031] 8309: [D loss: 0.708616, acc: 0.507812] [A loss: 0.864435, acc: 0.207031] 8310: [D loss: 0.701161, acc: 0.515625] [A loss: 0.742370, acc: 0.406250] 8311: [D loss: 0.722667, acc: 0.474609] [A loss: 0.987857, acc: 0.105469] 8312: [D loss: 0.717143, acc: 0.480469] [A loss: 0.689034, acc: 0.542969] 8313: [D loss: 0.729050, acc: 0.513672] [A loss: 0.934554, acc: 0.093750] 8314: [D loss: 0.695380, acc: 0.523438] [A loss: 0.748045, acc: 0.402344] 8315: [D loss: 0.715104, acc: 0.513672] [A loss: 0.907826, acc: 0.160156] 8316: [D loss: 0.708767, acc: 0.494141] [A loss: 0.727791, acc: 0.402344] 8317: [D loss: 0.702634, acc: 0.529297] [A loss: 0.869347, acc: 0.175781] 8318: [D loss: 0.709153, acc: 0.500000] [A loss: 0.741652, acc: 0.429688] 8319: [D loss: 0.715708, acc: 0.505859] [A loss: 0.834847, acc: 0.246094] 8320: [D loss: 0.703831, acc: 0.509766] [A loss: 0.767332, acc: 0.343750] 8321: [D loss: 0.710137, acc: 0.539062] [A loss: 0.871256, acc: 0.230469] 8322: [D loss: 0.699528, acc: 0.535156] [A loss: 0.766937, acc: 0.339844] 8323: [D loss: 0.721668, acc: 0.492188] [A loss: 0.889138, acc: 0.156250] 8324: [D loss: 0.695903, acc: 0.525391] [A loss: 0.729397, acc: 0.425781] 8325: [D loss: 0.728648, acc: 0.488281] [A loss: 0.927414, acc: 0.140625] 8326: [D loss: 0.701457, acc: 0.513672] [A loss: 0.707132, acc: 0.468750] 8327: [D loss: 0.708951, acc: 0.509766] [A loss: 0.925714, acc: 0.128906] 8328: [D loss: 0.704068, acc: 0.498047] [A loss: 0.664697, acc: 0.570312] 8329: [D loss: 0.722262, acc: 0.527344] [A loss: 0.949556, acc: 0.105469] 8330: [D loss: 0.694064, acc: 0.525391] [A loss: 0.688677, acc: 0.519531] 8331: [D loss: 0.719592, acc: 0.503906] [A loss: 0.960132, acc: 0.078125] 8332: [D loss: 0.696318, acc: 0.509766] [A loss: 0.720633, acc: 0.445312] 8333: [D loss: 0.716152, acc: 0.501953] [A loss: 0.873759, acc: 0.171875] 8334: [D loss: 0.689160, acc: 0.570312] [A loss: 0.761503, acc: 0.320312] 8335: [D loss: 0.707498, acc: 0.507812] [A loss: 0.824814, acc: 0.226562] 8336: [D loss: 0.704232, acc: 0.511719] [A loss: 0.851187, acc: 0.222656] 8337: [D loss: 0.713116, acc: 0.478516] [A loss: 0.833834, acc: 0.222656] 8338: [D loss: 0.710433, acc: 0.517578] [A loss: 0.808910, acc: 0.273438] 8339: [D loss: 0.696506, acc: 0.560547] [A loss: 0.822846, acc: 0.250000] 8340: [D loss: 0.692957, acc: 0.537109] [A loss: 0.810580, acc: 0.273438] 8341: [D loss: 0.712639, acc: 0.537109] [A loss: 0.898261, acc: 0.148438] 8342: [D loss: 0.681002, acc: 0.566406] [A loss: 0.764283, acc: 0.406250] 8343: [D loss: 0.696097, acc: 0.554688] [A loss: 0.886059, acc: 0.152344] 8344: [D loss: 0.700038, acc: 0.525391] [A loss: 0.816807, acc: 0.285156] 8345: [D loss: 0.712454, acc: 0.523438] [A loss: 0.819378, acc: 0.253906] 8346: [D loss: 0.713532, acc: 0.513672] [A loss: 0.834203, acc: 0.214844] 8347: [D loss: 0.701759, acc: 0.503906] [A loss: 0.802979, acc: 0.304688] 8348: [D loss: 0.702326, acc: 0.537109] [A loss: 0.892698, acc: 0.171875] 8349: [D loss: 0.695963, acc: 0.533203] [A loss: 0.812097, acc: 0.300781] 8350: [D loss: 0.702611, acc: 0.554688] [A loss: 0.841790, acc: 0.253906] 8351: [D loss: 0.698676, acc: 0.541016] [A loss: 0.796980, acc: 0.320312] 8352: [D loss: 0.714596, acc: 0.492188] [A loss: 0.923622, acc: 0.121094] 8353: [D loss: 0.702445, acc: 0.513672] [A loss: 0.666594, acc: 0.574219] 8354: [D loss: 0.738535, acc: 0.476562] [A loss: 1.028978, acc: 0.046875] 8355: [D loss: 0.715009, acc: 0.496094] [A loss: 0.688905, acc: 0.519531] 8356: [D loss: 0.733817, acc: 0.496094] [A loss: 0.993286, acc: 0.054688] 8357: [D loss: 0.698959, acc: 0.523438] [A loss: 0.670359, acc: 0.574219] 8358: [D loss: 0.713419, acc: 0.523438] [A loss: 0.871975, acc: 0.171875] 8359: [D loss: 0.687929, acc: 0.546875] [A loss: 0.778870, acc: 0.332031] 8360: [D loss: 0.712641, acc: 0.492188] [A loss: 0.763695, acc: 0.355469] 8361: [D loss: 0.697803, acc: 0.539062] [A loss: 0.845013, acc: 0.226562] 8362: [D loss: 0.698774, acc: 0.525391] [A loss: 0.776314, acc: 0.339844] 8363: [D loss: 0.690153, acc: 0.533203] [A loss: 0.845556, acc: 0.222656] 8364: [D loss: 0.696366, acc: 0.542969] [A loss: 0.776487, acc: 0.339844] 8365: [D loss: 0.710461, acc: 0.494141] [A loss: 0.868908, acc: 0.175781] 8366: [D loss: 0.707515, acc: 0.513672] [A loss: 0.771268, acc: 0.308594] 8367: [D loss: 0.717778, acc: 0.480469] [A loss: 0.929357, acc: 0.132812] 8368: [D loss: 0.711573, acc: 0.500000] [A loss: 0.730869, acc: 0.429688] 8369: [D loss: 0.708048, acc: 0.521484] [A loss: 0.907625, acc: 0.132812] 8370: [D loss: 0.715240, acc: 0.492188] [A loss: 0.742898, acc: 0.421875] 8371: [D loss: 0.710673, acc: 0.505859] [A loss: 0.876269, acc: 0.179688] 8372: [D loss: 0.694409, acc: 0.531250] [A loss: 0.741161, acc: 0.394531] 8373: [D loss: 0.704041, acc: 0.519531] [A loss: 0.888792, acc: 0.156250] 8374: [D loss: 0.698789, acc: 0.521484] [A loss: 0.739140, acc: 0.441406] 8375: [D loss: 0.715589, acc: 0.509766] [A loss: 0.952424, acc: 0.082031] 8376: [D loss: 0.689878, acc: 0.574219] [A loss: 0.712176, acc: 0.468750] 8377: [D loss: 0.734022, acc: 0.505859] [A loss: 0.967682, acc: 0.101562] 8378: [D loss: 0.697561, acc: 0.544922] [A loss: 0.720906, acc: 0.468750] 8379: [D loss: 0.715135, acc: 0.519531] [A loss: 0.942357, acc: 0.121094] 8380: [D loss: 0.692788, acc: 0.527344] [A loss: 0.722662, acc: 0.453125] 8381: [D loss: 0.709601, acc: 0.501953] [A loss: 0.886814, acc: 0.132812] 8382: [D loss: 0.706277, acc: 0.519531] [A loss: 0.760045, acc: 0.355469] 8383: [D loss: 0.696056, acc: 0.537109] [A loss: 0.906858, acc: 0.140625] 8384: [D loss: 0.702703, acc: 0.527344] [A loss: 0.732589, acc: 0.421875] 8385: [D loss: 0.713596, acc: 0.535156] [A loss: 0.943202, acc: 0.121094] 8386: [D loss: 0.709429, acc: 0.513672] [A loss: 0.770465, acc: 0.316406] 8387: [D loss: 0.713585, acc: 0.511719] [A loss: 0.917260, acc: 0.140625] 8388: [D loss: 0.706871, acc: 0.492188] [A loss: 0.725430, acc: 0.460938] 8389: [D loss: 0.702425, acc: 0.542969] [A loss: 0.961854, acc: 0.113281] 8390: [D loss: 0.701059, acc: 0.527344] [A loss: 0.666143, acc: 0.593750] 8391: [D loss: 0.722416, acc: 0.525391] [A loss: 0.995056, acc: 0.066406] 8392: [D loss: 0.688702, acc: 0.517578] [A loss: 0.720526, acc: 0.484375] 8393: [D loss: 0.704552, acc: 0.529297] [A loss: 0.898669, acc: 0.140625] 8394: [D loss: 0.716548, acc: 0.498047] [A loss: 0.792112, acc: 0.312500] 8395: [D loss: 0.705747, acc: 0.525391] [A loss: 0.814391, acc: 0.242188] 8396: [D loss: 0.701162, acc: 0.505859] [A loss: 0.854560, acc: 0.214844] 8397: [D loss: 0.715319, acc: 0.500000] [A loss: 0.854636, acc: 0.226562] 8398: [D loss: 0.706864, acc: 0.515625] [A loss: 0.846330, acc: 0.199219] 8399: [D loss: 0.705612, acc: 0.535156] [A loss: 0.885405, acc: 0.156250] 8400: [D loss: 0.698462, acc: 0.511719] [A loss: 0.738970, acc: 0.449219] 8401: [D loss: 0.712214, acc: 0.513672] [A loss: 0.820920, acc: 0.261719] 8402: [D loss: 0.693617, acc: 0.515625] [A loss: 0.907390, acc: 0.148438] 8403: [D loss: 0.698783, acc: 0.496094] [A loss: 0.732993, acc: 0.410156] 8404: [D loss: 0.718580, acc: 0.503906] [A loss: 0.912865, acc: 0.136719] 8405: [D loss: 0.694641, acc: 0.517578] [A loss: 0.679746, acc: 0.554688] 8406: [D loss: 0.721353, acc: 0.511719] [A loss: 0.960137, acc: 0.078125] 8407: [D loss: 0.704393, acc: 0.500000] [A loss: 0.672813, acc: 0.570312] 8408: [D loss: 0.714625, acc: 0.546875] [A loss: 0.934335, acc: 0.132812] 8409: [D loss: 0.686112, acc: 0.548828] [A loss: 0.752143, acc: 0.410156] 8410: [D loss: 0.713533, acc: 0.500000] [A loss: 0.872353, acc: 0.167969] 8411: [D loss: 0.694481, acc: 0.554688] [A loss: 0.833007, acc: 0.281250] 8412: [D loss: 0.714619, acc: 0.507812] [A loss: 0.896831, acc: 0.156250] 8413: [D loss: 0.703521, acc: 0.476562] [A loss: 0.736090, acc: 0.402344] 8414: [D loss: 0.714106, acc: 0.503906] [A loss: 0.875817, acc: 0.179688] 8415: [D loss: 0.705907, acc: 0.515625] [A loss: 0.751651, acc: 0.402344] 8416: [D loss: 0.695155, acc: 0.556641] [A loss: 0.848577, acc: 0.238281] 8417: [D loss: 0.691274, acc: 0.562500] [A loss: 0.755772, acc: 0.410156] 8418: [D loss: 0.702191, acc: 0.523438] [A loss: 0.904606, acc: 0.195312] 8419: [D loss: 0.716562, acc: 0.490234] [A loss: 0.767770, acc: 0.378906] 8420: [D loss: 0.708818, acc: 0.521484] [A loss: 0.834368, acc: 0.226562] 8421: [D loss: 0.703785, acc: 0.527344] [A loss: 0.768002, acc: 0.343750] 8422: [D loss: 0.704762, acc: 0.503906] [A loss: 0.855458, acc: 0.238281] 8423: [D loss: 0.708339, acc: 0.482422] [A loss: 0.776886, acc: 0.355469] 8424: [D loss: 0.704341, acc: 0.521484] [A loss: 0.893365, acc: 0.183594] 8425: [D loss: 0.701090, acc: 0.521484] [A loss: 0.722283, acc: 0.484375] 8426: [D loss: 0.718287, acc: 0.494141] [A loss: 0.985808, acc: 0.078125] 8427: [D loss: 0.705467, acc: 0.501953] [A loss: 0.682738, acc: 0.578125] 8428: [D loss: 0.708406, acc: 0.517578] [A loss: 0.908649, acc: 0.152344] 8429: [D loss: 0.702974, acc: 0.513672] [A loss: 0.722349, acc: 0.445312] 8430: [D loss: 0.698430, acc: 0.558594] [A loss: 0.912834, acc: 0.175781] 8431: [D loss: 0.707831, acc: 0.494141] [A loss: 0.728894, acc: 0.457031] 8432: [D loss: 0.711129, acc: 0.511719] [A loss: 0.929877, acc: 0.105469] 8433: [D loss: 0.692131, acc: 0.544922] [A loss: 0.756686, acc: 0.367188] 8434: [D loss: 0.691613, acc: 0.578125] [A loss: 0.811598, acc: 0.300781] 8435: [D loss: 0.701690, acc: 0.521484] [A loss: 0.795230, acc: 0.312500] 8436: [D loss: 0.703824, acc: 0.517578] [A loss: 0.861470, acc: 0.222656] 8437: [D loss: 0.697183, acc: 0.537109] [A loss: 0.829253, acc: 0.257812] 8438: [D loss: 0.699810, acc: 0.529297] [A loss: 0.814404, acc: 0.273438] 8439: [D loss: 0.713057, acc: 0.507812] [A loss: 0.876984, acc: 0.191406] 8440: [D loss: 0.695157, acc: 0.537109] [A loss: 0.821605, acc: 0.281250] 8441: [D loss: 0.710767, acc: 0.507812] [A loss: 0.832566, acc: 0.257812] 8442: [D loss: 0.701397, acc: 0.511719] [A loss: 0.848094, acc: 0.214844] 8443: [D loss: 0.694436, acc: 0.542969] [A loss: 0.791537, acc: 0.320312] 8444: [D loss: 0.714990, acc: 0.517578] [A loss: 0.870461, acc: 0.203125] 8445: [D loss: 0.708159, acc: 0.496094] [A loss: 0.838298, acc: 0.273438] 8446: [D loss: 0.697605, acc: 0.531250] [A loss: 0.875256, acc: 0.199219] 8447: [D loss: 0.684610, acc: 0.560547] [A loss: 0.784344, acc: 0.371094] 8448: [D loss: 0.702416, acc: 0.519531] [A loss: 0.912785, acc: 0.117188] 8449: [D loss: 0.701537, acc: 0.513672] [A loss: 0.774095, acc: 0.320312] 8450: [D loss: 0.715919, acc: 0.480469] [A loss: 0.939216, acc: 0.113281] 8451: [D loss: 0.707286, acc: 0.509766] [A loss: 0.717503, acc: 0.472656] 8452: [D loss: 0.714139, acc: 0.511719] [A loss: 0.956261, acc: 0.128906] 8453: [D loss: 0.704144, acc: 0.517578] [A loss: 0.739004, acc: 0.449219] 8454: [D loss: 0.704547, acc: 0.509766] [A loss: 0.889842, acc: 0.179688] 8455: [D loss: 0.697058, acc: 0.517578] [A loss: 0.691974, acc: 0.527344] 8456: [D loss: 0.721866, acc: 0.507812] [A loss: 0.999831, acc: 0.093750] 8457: [D loss: 0.704483, acc: 0.521484] [A loss: 0.705298, acc: 0.519531] 8458: [D loss: 0.719148, acc: 0.515625] [A loss: 0.946002, acc: 0.136719] 8459: [D loss: 0.706158, acc: 0.519531] [A loss: 0.697802, acc: 0.531250] 8460: [D loss: 0.713608, acc: 0.511719] [A loss: 0.919502, acc: 0.156250] 8461: [D loss: 0.699475, acc: 0.523438] [A loss: 0.731040, acc: 0.460938] 8462: [D loss: 0.716943, acc: 0.503906] [A loss: 0.866476, acc: 0.199219] 8463: [D loss: 0.701166, acc: 0.541016] [A loss: 0.792962, acc: 0.320312] 8464: [D loss: 0.701333, acc: 0.527344] [A loss: 0.830465, acc: 0.285156] 8465: [D loss: 0.702900, acc: 0.500000] [A loss: 0.769275, acc: 0.359375] 8466: [D loss: 0.708106, acc: 0.554688] [A loss: 0.849085, acc: 0.242188] 8467: [D loss: 0.700369, acc: 0.531250] [A loss: 0.853215, acc: 0.257812] 8468: [D loss: 0.698460, acc: 0.515625] [A loss: 0.829473, acc: 0.250000] 8469: [D loss: 0.709151, acc: 0.529297] [A loss: 0.900164, acc: 0.187500] 8470: [D loss: 0.702283, acc: 0.529297] [A loss: 0.758895, acc: 0.363281] 8471: [D loss: 0.695150, acc: 0.539062] [A loss: 0.951182, acc: 0.097656] 8472: [D loss: 0.693469, acc: 0.521484] [A loss: 0.720888, acc: 0.496094] 8473: [D loss: 0.715105, acc: 0.527344] [A loss: 1.017832, acc: 0.062500] 8474: [D loss: 0.713021, acc: 0.507812] [A loss: 0.652488, acc: 0.609375] 8475: [D loss: 0.731863, acc: 0.509766] [A loss: 0.931976, acc: 0.105469] 8476: [D loss: 0.691719, acc: 0.523438] [A loss: 0.762026, acc: 0.406250] 8477: [D loss: 0.724774, acc: 0.498047] [A loss: 0.837339, acc: 0.222656] 8478: [D loss: 0.711833, acc: 0.511719] [A loss: 0.788756, acc: 0.355469] 8479: [D loss: 0.719539, acc: 0.501953] [A loss: 0.899908, acc: 0.144531] 8480: [D loss: 0.708514, acc: 0.511719] [A loss: 0.776549, acc: 0.296875] 8481: [D loss: 0.717595, acc: 0.466797] [A loss: 0.828109, acc: 0.261719] 8482: [D loss: 0.704675, acc: 0.515625] [A loss: 0.794954, acc: 0.296875] 8483: [D loss: 0.720769, acc: 0.496094] [A loss: 0.874275, acc: 0.195312] 8484: [D loss: 0.693339, acc: 0.531250] [A loss: 0.780112, acc: 0.355469] 8485: [D loss: 0.703160, acc: 0.535156] [A loss: 0.867373, acc: 0.167969] 8486: [D loss: 0.695442, acc: 0.542969] [A loss: 0.789965, acc: 0.351562] 8487: [D loss: 0.693341, acc: 0.537109] [A loss: 0.863727, acc: 0.214844] 8488: [D loss: 0.698346, acc: 0.529297] [A loss: 0.775110, acc: 0.367188] 8489: [D loss: 0.697840, acc: 0.521484] [A loss: 0.839091, acc: 0.218750] 8490: [D loss: 0.708895, acc: 0.503906] [A loss: 0.897449, acc: 0.175781] 8491: [D loss: 0.701013, acc: 0.531250] [A loss: 0.834360, acc: 0.242188] 8492: [D loss: 0.690913, acc: 0.533203] [A loss: 0.851212, acc: 0.250000] 8493: [D loss: 0.710313, acc: 0.531250] [A loss: 0.894516, acc: 0.164062] 8494: [D loss: 0.711407, acc: 0.501953] [A loss: 0.737749, acc: 0.445312] 8495: [D loss: 0.717651, acc: 0.496094] [A loss: 0.921634, acc: 0.148438] 8496: [D loss: 0.707166, acc: 0.515625] [A loss: 0.762745, acc: 0.402344] 8497: [D loss: 0.718756, acc: 0.521484] [A loss: 0.937966, acc: 0.101562] 8498: [D loss: 0.692484, acc: 0.535156] [A loss: 0.785419, acc: 0.332031] 8499: [D loss: 0.725948, acc: 0.468750] [A loss: 0.942216, acc: 0.109375] 8500: [D loss: 0.709765, acc: 0.478516] [A loss: 0.827856, acc: 0.273438] 8501: [D loss: 0.721883, acc: 0.490234] [A loss: 0.890073, acc: 0.183594] 8502: [D loss: 0.710802, acc: 0.507812] [A loss: 0.805009, acc: 0.281250] 8503: [D loss: 0.698135, acc: 0.531250] [A loss: 0.859864, acc: 0.218750] 8504: [D loss: 0.704002, acc: 0.478516] [A loss: 0.832802, acc: 0.230469] 8505: [D loss: 0.723267, acc: 0.460938] [A loss: 0.886671, acc: 0.210938] 8506: [D loss: 0.700916, acc: 0.505859] [A loss: 0.842207, acc: 0.265625] 8507: [D loss: 0.715250, acc: 0.492188] [A loss: 0.786268, acc: 0.328125] 8508: [D loss: 0.702781, acc: 0.515625] [A loss: 0.851867, acc: 0.218750] 8509: [D loss: 0.699219, acc: 0.523438] [A loss: 0.843411, acc: 0.214844] 8510: [D loss: 0.712416, acc: 0.476562] [A loss: 0.907900, acc: 0.164062] 8511: [D loss: 0.702211, acc: 0.511719] [A loss: 0.777277, acc: 0.339844] 8512: [D loss: 0.709326, acc: 0.541016] [A loss: 0.982866, acc: 0.105469] 8513: [D loss: 0.712037, acc: 0.496094] [A loss: 0.709067, acc: 0.476562] 8514: [D loss: 0.719680, acc: 0.529297] [A loss: 1.135667, acc: 0.039062] 8515: [D loss: 0.717924, acc: 0.509766] [A loss: 0.644520, acc: 0.648438] 8516: [D loss: 0.743548, acc: 0.486328] [A loss: 1.004302, acc: 0.066406] 8517: [D loss: 0.714713, acc: 0.507812] [A loss: 0.703233, acc: 0.511719] 8518: [D loss: 0.717169, acc: 0.535156] [A loss: 0.831566, acc: 0.246094] 8519: [D loss: 0.691783, acc: 0.525391] [A loss: 0.746797, acc: 0.437500] 8520: [D loss: 0.714673, acc: 0.515625] [A loss: 0.871796, acc: 0.203125] 8521: [D loss: 0.708877, acc: 0.511719] [A loss: 0.726867, acc: 0.468750] 8522: [D loss: 0.704474, acc: 0.548828] [A loss: 0.817055, acc: 0.257812] 8523: [D loss: 0.689522, acc: 0.562500] [A loss: 0.858866, acc: 0.199219] 8524: [D loss: 0.717660, acc: 0.466797] [A loss: 0.850909, acc: 0.210938] 8525: [D loss: 0.704530, acc: 0.537109] [A loss: 0.815221, acc: 0.312500] 8526: [D loss: 0.702539, acc: 0.515625] [A loss: 0.878213, acc: 0.199219] 8527: [D loss: 0.694344, acc: 0.560547] [A loss: 0.838772, acc: 0.281250] 8528: [D loss: 0.701427, acc: 0.525391] [A loss: 0.866193, acc: 0.191406] 8529: [D loss: 0.703471, acc: 0.505859] [A loss: 0.757677, acc: 0.375000] 8530: [D loss: 0.712318, acc: 0.513672] [A loss: 0.872925, acc: 0.238281] 8531: [D loss: 0.695337, acc: 0.531250] [A loss: 0.836213, acc: 0.250000] 8532: [D loss: 0.701288, acc: 0.523438] [A loss: 0.806522, acc: 0.300781] 8533: [D loss: 0.712641, acc: 0.500000] [A loss: 0.771608, acc: 0.367188] 8534: [D loss: 0.709649, acc: 0.500000] [A loss: 0.962371, acc: 0.074219] 8535: [D loss: 0.707010, acc: 0.500000] [A loss: 0.687922, acc: 0.515625] 8536: [D loss: 0.716918, acc: 0.511719] [A loss: 0.937768, acc: 0.089844] 8537: [D loss: 0.701836, acc: 0.482422] [A loss: 0.739847, acc: 0.414062] 8538: [D loss: 0.721605, acc: 0.503906] [A loss: 0.961150, acc: 0.101562] 8539: [D loss: 0.696559, acc: 0.515625] [A loss: 0.712140, acc: 0.500000] 8540: [D loss: 0.718346, acc: 0.507812] [A loss: 0.927816, acc: 0.132812] 8541: [D loss: 0.714506, acc: 0.494141] [A loss: 0.720412, acc: 0.476562] 8542: [D loss: 0.702881, acc: 0.496094] [A loss: 0.899808, acc: 0.148438] 8543: [D loss: 0.700258, acc: 0.519531] [A loss: 0.744973, acc: 0.425781] 8544: [D loss: 0.708470, acc: 0.515625] [A loss: 0.867659, acc: 0.171875] 8545: [D loss: 0.703494, acc: 0.525391] [A loss: 0.757832, acc: 0.371094] 8546: [D loss: 0.700755, acc: 0.533203] [A loss: 0.864416, acc: 0.187500] 8547: [D loss: 0.706824, acc: 0.494141] [A loss: 0.754068, acc: 0.390625] 8548: [D loss: 0.705830, acc: 0.533203] [A loss: 0.889524, acc: 0.179688] 8549: [D loss: 0.700656, acc: 0.494141] [A loss: 0.730464, acc: 0.425781] 8550: [D loss: 0.720060, acc: 0.527344] [A loss: 1.032326, acc: 0.089844] 8551: [D loss: 0.698251, acc: 0.494141] [A loss: 0.704611, acc: 0.515625] 8552: [D loss: 0.724063, acc: 0.535156] [A loss: 0.914476, acc: 0.140625] 8553: [D loss: 0.693210, acc: 0.525391] [A loss: 0.685413, acc: 0.511719] 8554: [D loss: 0.722003, acc: 0.511719] [A loss: 0.913355, acc: 0.160156] 8555: [D loss: 0.688436, acc: 0.556641] [A loss: 0.738190, acc: 0.429688] 8556: [D loss: 0.705818, acc: 0.535156] [A loss: 0.891232, acc: 0.164062] 8557: [D loss: 0.694186, acc: 0.541016] [A loss: 0.709881, acc: 0.457031] 8558: [D loss: 0.712200, acc: 0.521484] [A loss: 0.970305, acc: 0.136719] 8559: [D loss: 0.701363, acc: 0.507812] [A loss: 0.726281, acc: 0.457031] 8560: [D loss: 0.716520, acc: 0.509766] [A loss: 0.899207, acc: 0.128906] 8561: [D loss: 0.694812, acc: 0.527344] [A loss: 0.721012, acc: 0.425781] 8562: [D loss: 0.710638, acc: 0.501953] [A loss: 0.822636, acc: 0.277344] 8563: [D loss: 0.696101, acc: 0.542969] [A loss: 0.767043, acc: 0.382812] 8564: [D loss: 0.714651, acc: 0.521484] [A loss: 0.941581, acc: 0.125000] 8565: [D loss: 0.703433, acc: 0.498047] [A loss: 0.822979, acc: 0.218750] 8566: [D loss: 0.691701, acc: 0.539062] [A loss: 0.806082, acc: 0.296875] 8567: [D loss: 0.720321, acc: 0.478516] [A loss: 0.794165, acc: 0.312500] 8568: [D loss: 0.710991, acc: 0.527344] [A loss: 0.885618, acc: 0.191406] 8569: [D loss: 0.719056, acc: 0.460938] [A loss: 0.709808, acc: 0.492188] 8570: [D loss: 0.733848, acc: 0.492188] [A loss: 0.904352, acc: 0.167969] 8571: [D loss: 0.684884, acc: 0.546875] [A loss: 0.698034, acc: 0.503906] 8572: [D loss: 0.732029, acc: 0.478516] [A loss: 0.959400, acc: 0.078125] 8573: [D loss: 0.692595, acc: 0.527344] [A loss: 0.735808, acc: 0.414062] 8574: [D loss: 0.714416, acc: 0.501953] [A loss: 0.853527, acc: 0.195312] 8575: [D loss: 0.700132, acc: 0.519531] [A loss: 0.745635, acc: 0.375000] 8576: [D loss: 0.712715, acc: 0.501953] [A loss: 0.873404, acc: 0.222656] 8577: [D loss: 0.701547, acc: 0.523438] [A loss: 0.786066, acc: 0.343750] 8578: [D loss: 0.715231, acc: 0.511719] [A loss: 0.832314, acc: 0.253906] 8579: [D loss: 0.698551, acc: 0.519531] [A loss: 0.805501, acc: 0.273438] 8580: [D loss: 0.703783, acc: 0.511719] [A loss: 0.785863, acc: 0.335938] 8581: [D loss: 0.699857, acc: 0.527344] [A loss: 0.834181, acc: 0.230469] 8582: [D loss: 0.720638, acc: 0.474609] [A loss: 0.802836, acc: 0.328125] 8583: [D loss: 0.702595, acc: 0.539062] [A loss: 0.856919, acc: 0.210938] 8584: [D loss: 0.712148, acc: 0.490234] [A loss: 0.812000, acc: 0.285156] 8585: [D loss: 0.700123, acc: 0.566406] [A loss: 0.884663, acc: 0.191406] 8586: [D loss: 0.706708, acc: 0.527344] [A loss: 0.828426, acc: 0.234375] 8587: [D loss: 0.698137, acc: 0.529297] [A loss: 0.839210, acc: 0.257812] 8588: [D loss: 0.696413, acc: 0.515625] [A loss: 0.800210, acc: 0.312500] 8589: [D loss: 0.712547, acc: 0.505859] [A loss: 0.965861, acc: 0.074219] 8590: [D loss: 0.713885, acc: 0.490234] [A loss: 0.638173, acc: 0.640625] 8591: [D loss: 0.741053, acc: 0.505859] [A loss: 1.011431, acc: 0.039062] 8592: [D loss: 0.714947, acc: 0.498047] [A loss: 0.695662, acc: 0.515625] 8593: [D loss: 0.719768, acc: 0.500000] [A loss: 0.898158, acc: 0.199219] 8594: [D loss: 0.717485, acc: 0.482422] [A loss: 0.681626, acc: 0.542969] 8595: [D loss: 0.712648, acc: 0.509766] [A loss: 0.892886, acc: 0.156250] 8596: [D loss: 0.704067, acc: 0.496094] [A loss: 0.804335, acc: 0.335938] 8597: [D loss: 0.691283, acc: 0.521484] [A loss: 0.858460, acc: 0.183594] 8598: [D loss: 0.699625, acc: 0.507812] [A loss: 0.735912, acc: 0.425781] 8599: [D loss: 0.720759, acc: 0.505859] [A loss: 0.915705, acc: 0.136719] 8600: [D loss: 0.697931, acc: 0.511719] [A loss: 0.713381, acc: 0.449219] 8601: [D loss: 0.702403, acc: 0.529297] [A loss: 0.922542, acc: 0.113281] 8602: [D loss: 0.706623, acc: 0.484375] [A loss: 0.723463, acc: 0.476562] 8603: [D loss: 0.723893, acc: 0.494141] [A loss: 0.950630, acc: 0.093750] 8604: [D loss: 0.702472, acc: 0.517578] [A loss: 0.826612, acc: 0.277344] 8605: [D loss: 0.709291, acc: 0.498047] [A loss: 0.914672, acc: 0.105469] 8606: [D loss: 0.697765, acc: 0.519531] [A loss: 0.698802, acc: 0.519531] 8607: [D loss: 0.719856, acc: 0.533203] [A loss: 0.892953, acc: 0.144531] 8608: [D loss: 0.699591, acc: 0.550781] [A loss: 0.719900, acc: 0.464844] 8609: [D loss: 0.704406, acc: 0.535156] [A loss: 0.855894, acc: 0.175781] 8610: [D loss: 0.698092, acc: 0.533203] [A loss: 0.774328, acc: 0.320312] 8611: [D loss: 0.703680, acc: 0.511719] [A loss: 0.850390, acc: 0.222656] 8612: [D loss: 0.689361, acc: 0.552734] [A loss: 0.760327, acc: 0.375000] 8613: [D loss: 0.699658, acc: 0.531250] [A loss: 0.876109, acc: 0.160156] 8614: [D loss: 0.694454, acc: 0.529297] [A loss: 0.761454, acc: 0.371094] 8615: [D loss: 0.707863, acc: 0.525391] [A loss: 0.845361, acc: 0.226562] 8616: [D loss: 0.683832, acc: 0.580078] [A loss: 0.778665, acc: 0.316406] 8617: [D loss: 0.718249, acc: 0.492188] [A loss: 0.824921, acc: 0.238281] 8618: [D loss: 0.709949, acc: 0.509766] [A loss: 0.783031, acc: 0.308594] 8619: [D loss: 0.713341, acc: 0.505859] [A loss: 0.891534, acc: 0.128906] 8620: [D loss: 0.686003, acc: 0.531250] [A loss: 0.768160, acc: 0.414062] 8621: [D loss: 0.704377, acc: 0.539062] [A loss: 0.992032, acc: 0.097656] 8622: [D loss: 0.693150, acc: 0.539062] [A loss: 0.692355, acc: 0.527344] 8623: [D loss: 0.713415, acc: 0.525391] [A loss: 0.910697, acc: 0.136719] 8624: [D loss: 0.715429, acc: 0.494141] [A loss: 0.720260, acc: 0.460938] 8625: [D loss: 0.718615, acc: 0.500000] [A loss: 0.843800, acc: 0.218750] 8626: [D loss: 0.691676, acc: 0.537109] [A loss: 0.760953, acc: 0.390625] 8627: [D loss: 0.707442, acc: 0.505859] [A loss: 0.936331, acc: 0.117188] 8628: [D loss: 0.688567, acc: 0.542969] [A loss: 0.780918, acc: 0.355469] 8629: [D loss: 0.702145, acc: 0.537109] [A loss: 0.865783, acc: 0.183594] 8630: [D loss: 0.704099, acc: 0.501953] [A loss: 0.783045, acc: 0.320312] 8631: [D loss: 0.699149, acc: 0.527344] [A loss: 0.891245, acc: 0.128906] 8632: [D loss: 0.698757, acc: 0.517578] [A loss: 0.731951, acc: 0.441406] 8633: [D loss: 0.709477, acc: 0.515625] [A loss: 0.907782, acc: 0.164062] 8634: [D loss: 0.706617, acc: 0.492188] [A loss: 0.773085, acc: 0.359375] 8635: [D loss: 0.722235, acc: 0.517578] [A loss: 0.979759, acc: 0.074219] 8636: [D loss: 0.708944, acc: 0.488281] [A loss: 0.682675, acc: 0.546875] 8637: [D loss: 0.712643, acc: 0.519531] [A loss: 0.965409, acc: 0.085938] 8638: [D loss: 0.708362, acc: 0.509766] [A loss: 0.680257, acc: 0.515625] 8639: [D loss: 0.730354, acc: 0.523438] [A loss: 0.923771, acc: 0.132812] 8640: [D loss: 0.710303, acc: 0.509766] [A loss: 0.725962, acc: 0.445312] 8641: [D loss: 0.713647, acc: 0.500000] [A loss: 0.880834, acc: 0.191406] 8642: [D loss: 0.699095, acc: 0.517578] [A loss: 0.725738, acc: 0.445312] 8643: [D loss: 0.711108, acc: 0.519531] [A loss: 0.870211, acc: 0.199219] 8644: [D loss: 0.691177, acc: 0.523438] [A loss: 0.734670, acc: 0.417969] 8645: [D loss: 0.712331, acc: 0.505859] [A loss: 0.861712, acc: 0.207031] 8646: [D loss: 0.705507, acc: 0.505859] [A loss: 0.811701, acc: 0.281250] 8647: [D loss: 0.700089, acc: 0.517578] [A loss: 0.870979, acc: 0.214844] 8648: [D loss: 0.710927, acc: 0.507812] [A loss: 0.768616, acc: 0.347656] 8649: [D loss: 0.713508, acc: 0.511719] [A loss: 0.858138, acc: 0.214844] 8650: [D loss: 0.695888, acc: 0.531250] [A loss: 0.815555, acc: 0.257812] 8651: [D loss: 0.699392, acc: 0.537109] [A loss: 0.828293, acc: 0.238281] 8652: [D loss: 0.696739, acc: 0.541016] [A loss: 0.833578, acc: 0.210938] 8653: [D loss: 0.701450, acc: 0.513672] [A loss: 0.763764, acc: 0.406250] 8654: [D loss: 0.711736, acc: 0.498047] [A loss: 0.847902, acc: 0.214844] 8655: [D loss: 0.708319, acc: 0.507812] [A loss: 0.746643, acc: 0.390625] 8656: [D loss: 0.691082, acc: 0.550781] [A loss: 0.916068, acc: 0.113281] 8657: [D loss: 0.701359, acc: 0.521484] [A loss: 0.716479, acc: 0.492188] 8658: [D loss: 0.719755, acc: 0.476562] [A loss: 1.012789, acc: 0.085938] 8659: [D loss: 0.695653, acc: 0.529297] [A loss: 0.728733, acc: 0.460938] 8660: [D loss: 0.736952, acc: 0.484375] [A loss: 0.957955, acc: 0.085938] 8661: [D loss: 0.707946, acc: 0.509766] [A loss: 0.700848, acc: 0.488281] 8662: [D loss: 0.701509, acc: 0.537109] [A loss: 0.844304, acc: 0.257812] 8663: [D loss: 0.715015, acc: 0.478516] [A loss: 0.735988, acc: 0.453125] 8664: [D loss: 0.709237, acc: 0.523438] [A loss: 0.857628, acc: 0.210938] 8665: [D loss: 0.695832, acc: 0.507812] [A loss: 0.740781, acc: 0.402344] 8666: [D loss: 0.712521, acc: 0.525391] [A loss: 0.883651, acc: 0.175781] 8667: [D loss: 0.701206, acc: 0.505859] [A loss: 0.732228, acc: 0.449219] 8668: [D loss: 0.698600, acc: 0.490234] [A loss: 0.915750, acc: 0.156250] 8669: [D loss: 0.685725, acc: 0.558594] [A loss: 0.707426, acc: 0.507812] 8670: [D loss: 0.728715, acc: 0.511719] [A loss: 0.925317, acc: 0.144531] 8671: [D loss: 0.706045, acc: 0.496094] [A loss: 0.676818, acc: 0.578125] 8672: [D loss: 0.711085, acc: 0.517578] [A loss: 0.930639, acc: 0.144531] 8673: [D loss: 0.693504, acc: 0.529297] [A loss: 0.702671, acc: 0.500000] 8674: [D loss: 0.711683, acc: 0.521484] [A loss: 0.786782, acc: 0.347656] 8675: [D loss: 0.702004, acc: 0.542969] [A loss: 0.828837, acc: 0.285156] 8676: [D loss: 0.704849, acc: 0.519531] [A loss: 0.736662, acc: 0.414062] 8677: [D loss: 0.720078, acc: 0.501953] [A loss: 0.990537, acc: 0.140625] 8678: [D loss: 0.701609, acc: 0.521484] [A loss: 0.742876, acc: 0.425781] 8679: [D loss: 0.725148, acc: 0.490234] [A loss: 0.912269, acc: 0.128906] 8680: [D loss: 0.687864, acc: 0.548828] [A loss: 0.778845, acc: 0.335938] 8681: [D loss: 0.696359, acc: 0.521484] [A loss: 0.812951, acc: 0.277344] 8682: [D loss: 0.696432, acc: 0.509766] [A loss: 0.778056, acc: 0.355469] 8683: [D loss: 0.703400, acc: 0.511719] [A loss: 0.832640, acc: 0.234375] 8684: [D loss: 0.689941, acc: 0.529297] [A loss: 0.807217, acc: 0.269531] 8685: [D loss: 0.701466, acc: 0.503906] [A loss: 0.789816, acc: 0.312500] 8686: [D loss: 0.712467, acc: 0.517578] [A loss: 0.818181, acc: 0.277344] 8687: [D loss: 0.709400, acc: 0.507812] [A loss: 0.852924, acc: 0.191406] 8688: [D loss: 0.699175, acc: 0.509766] [A loss: 0.793867, acc: 0.304688] 8689: [D loss: 0.711863, acc: 0.525391] [A loss: 0.868117, acc: 0.210938] 8690: [D loss: 0.702486, acc: 0.531250] [A loss: 0.778674, acc: 0.359375] 8691: [D loss: 0.726064, acc: 0.501953] [A loss: 0.954426, acc: 0.085938] 8692: [D loss: 0.712777, acc: 0.507812] [A loss: 0.676149, acc: 0.550781] 8693: [D loss: 0.717677, acc: 0.505859] [A loss: 1.003065, acc: 0.039062] 8694: [D loss: 0.708051, acc: 0.513672] [A loss: 0.702327, acc: 0.519531] 8695: [D loss: 0.713252, acc: 0.537109] [A loss: 0.950825, acc: 0.089844] 8696: [D loss: 0.710036, acc: 0.486328] [A loss: 0.672389, acc: 0.562500] 8697: [D loss: 0.713393, acc: 0.507812] [A loss: 0.955874, acc: 0.156250] 8698: [D loss: 0.686871, acc: 0.537109] [A loss: 0.722222, acc: 0.460938] 8699: [D loss: 0.711633, acc: 0.517578] [A loss: 0.933589, acc: 0.140625] 8700: [D loss: 0.721402, acc: 0.458984] [A loss: 0.690220, acc: 0.554688] 8701: [D loss: 0.724838, acc: 0.488281] [A loss: 0.931850, acc: 0.085938] 8702: [D loss: 0.697654, acc: 0.527344] [A loss: 0.738485, acc: 0.441406] 8703: [D loss: 0.723523, acc: 0.496094] [A loss: 0.853635, acc: 0.183594] 8704: [D loss: 0.682238, acc: 0.560547] [A loss: 0.771681, acc: 0.343750] 8705: [D loss: 0.701951, acc: 0.511719] [A loss: 0.864325, acc: 0.191406] 8706: [D loss: 0.694860, acc: 0.535156] [A loss: 0.783145, acc: 0.316406] 8707: [D loss: 0.691559, acc: 0.529297] [A loss: 0.884982, acc: 0.164062] 8708: [D loss: 0.686190, acc: 0.556641] [A loss: 0.730930, acc: 0.417969] 8709: [D loss: 0.702717, acc: 0.539062] [A loss: 0.874813, acc: 0.167969] 8710: [D loss: 0.697186, acc: 0.533203] [A loss: 0.765682, acc: 0.375000] 8711: [D loss: 0.696695, acc: 0.542969] [A loss: 0.949299, acc: 0.097656] 8712: [D loss: 0.704257, acc: 0.527344] [A loss: 0.648782, acc: 0.628906] 8713: [D loss: 0.711762, acc: 0.503906] [A loss: 0.880370, acc: 0.156250] 8714: [D loss: 0.715451, acc: 0.484375] [A loss: 0.745114, acc: 0.417969] 8715: [D loss: 0.700261, acc: 0.527344] [A loss: 0.943867, acc: 0.121094] 8716: [D loss: 0.693380, acc: 0.503906] [A loss: 0.763958, acc: 0.328125] 8717: [D loss: 0.698996, acc: 0.500000] [A loss: 0.895970, acc: 0.179688] 8718: [D loss: 0.708827, acc: 0.486328] [A loss: 0.789259, acc: 0.316406] 8719: [D loss: 0.700671, acc: 0.525391] [A loss: 0.874236, acc: 0.218750] 8720: [D loss: 0.713136, acc: 0.496094] [A loss: 0.790036, acc: 0.296875] 8721: [D loss: 0.707463, acc: 0.501953] [A loss: 0.837796, acc: 0.226562] 8722: [D loss: 0.704086, acc: 0.500000] [A loss: 0.707769, acc: 0.500000] 8723: [D loss: 0.717121, acc: 0.505859] [A loss: 0.921392, acc: 0.117188] 8724: [D loss: 0.707993, acc: 0.519531] [A loss: 0.690474, acc: 0.507812] 8725: [D loss: 0.719830, acc: 0.513672] [A loss: 0.892030, acc: 0.164062] 8726: [D loss: 0.694623, acc: 0.548828] [A loss: 0.742720, acc: 0.429688] 8727: [D loss: 0.710024, acc: 0.533203] [A loss: 0.875688, acc: 0.179688] 8728: [D loss: 0.692635, acc: 0.537109] [A loss: 0.704532, acc: 0.496094] 8729: [D loss: 0.707466, acc: 0.492188] [A loss: 0.965115, acc: 0.085938] 8730: [D loss: 0.704086, acc: 0.529297] [A loss: 0.701522, acc: 0.503906] 8731: [D loss: 0.711565, acc: 0.521484] [A loss: 0.896210, acc: 0.160156] 8732: [D loss: 0.708112, acc: 0.509766] [A loss: 0.761492, acc: 0.339844] 8733: [D loss: 0.722836, acc: 0.484375] [A loss: 0.922930, acc: 0.136719] 8734: [D loss: 0.695750, acc: 0.550781] [A loss: 0.659895, acc: 0.578125] 8735: [D loss: 0.706839, acc: 0.537109] [A loss: 0.895974, acc: 0.171875] 8736: [D loss: 0.701383, acc: 0.515625] [A loss: 0.744088, acc: 0.402344] 8737: [D loss: 0.705139, acc: 0.525391] [A loss: 0.826289, acc: 0.238281] 8738: [D loss: 0.705074, acc: 0.505859] [A loss: 0.790896, acc: 0.328125] 8739: [D loss: 0.697409, acc: 0.537109] [A loss: 0.898997, acc: 0.140625] 8740: [D loss: 0.697195, acc: 0.533203] [A loss: 0.724020, acc: 0.484375] 8741: [D loss: 0.717514, acc: 0.488281] [A loss: 0.940575, acc: 0.117188] 8742: [D loss: 0.700146, acc: 0.507812] [A loss: 0.725555, acc: 0.468750] 8743: [D loss: 0.712231, acc: 0.523438] [A loss: 0.920395, acc: 0.113281] 8744: [D loss: 0.691386, acc: 0.541016] [A loss: 0.777247, acc: 0.371094] 8745: [D loss: 0.696143, acc: 0.546875] [A loss: 0.854026, acc: 0.195312] 8746: [D loss: 0.699753, acc: 0.535156] [A loss: 0.782138, acc: 0.355469] 8747: [D loss: 0.713496, acc: 0.492188] [A loss: 0.836547, acc: 0.246094] 8748: [D loss: 0.700284, acc: 0.513672] [A loss: 0.802874, acc: 0.300781] 8749: [D loss: 0.716337, acc: 0.496094] [A loss: 0.843744, acc: 0.210938] 8750: [D loss: 0.705258, acc: 0.494141] [A loss: 0.714693, acc: 0.480469] 8751: [D loss: 0.727340, acc: 0.501953] [A loss: 0.990289, acc: 0.062500] 8752: [D loss: 0.709074, acc: 0.500000] [A loss: 0.678101, acc: 0.535156] 8753: [D loss: 0.725520, acc: 0.501953] [A loss: 0.956515, acc: 0.089844] 8754: [D loss: 0.699467, acc: 0.531250] [A loss: 0.707901, acc: 0.464844] 8755: [D loss: 0.708054, acc: 0.509766] [A loss: 0.876697, acc: 0.191406] 8756: [D loss: 0.695518, acc: 0.515625] [A loss: 0.732115, acc: 0.457031] 8757: [D loss: 0.703009, acc: 0.544922] [A loss: 0.881456, acc: 0.218750] 8758: [D loss: 0.702334, acc: 0.501953] [A loss: 0.705403, acc: 0.507812] 8759: [D loss: 0.713999, acc: 0.527344] [A loss: 0.853426, acc: 0.210938] 8760: [D loss: 0.704401, acc: 0.515625] [A loss: 0.699640, acc: 0.550781] 8761: [D loss: 0.711735, acc: 0.541016] [A loss: 0.903939, acc: 0.136719] 8762: [D loss: 0.697650, acc: 0.525391] [A loss: 0.736181, acc: 0.441406] 8763: [D loss: 0.716668, acc: 0.496094] [A loss: 0.881194, acc: 0.156250] 8764: [D loss: 0.697649, acc: 0.509766] [A loss: 0.750716, acc: 0.421875] 8765: [D loss: 0.717457, acc: 0.490234] [A loss: 0.847430, acc: 0.214844] 8766: [D loss: 0.701254, acc: 0.525391] [A loss: 0.758381, acc: 0.394531] 8767: [D loss: 0.713549, acc: 0.501953] [A loss: 0.904090, acc: 0.156250] 8768: [D loss: 0.697068, acc: 0.509766] [A loss: 0.745156, acc: 0.386719] 8769: [D loss: 0.706563, acc: 0.496094] [A loss: 0.878480, acc: 0.144531] 8770: [D loss: 0.702705, acc: 0.490234] [A loss: 0.717630, acc: 0.441406] 8771: [D loss: 0.731141, acc: 0.490234] [A loss: 1.046982, acc: 0.066406] 8772: [D loss: 0.710878, acc: 0.501953] [A loss: 0.646515, acc: 0.644531] 8773: [D loss: 0.714866, acc: 0.529297] [A loss: 0.901952, acc: 0.109375] 8774: [D loss: 0.698324, acc: 0.503906] [A loss: 0.734894, acc: 0.414062] 8775: [D loss: 0.708151, acc: 0.525391] [A loss: 0.833206, acc: 0.246094] 8776: [D loss: 0.705745, acc: 0.521484] [A loss: 0.803129, acc: 0.281250] 8777: [D loss: 0.711425, acc: 0.498047] [A loss: 0.810187, acc: 0.277344] 8778: [D loss: 0.697978, acc: 0.515625] [A loss: 0.828857, acc: 0.242188] 8779: [D loss: 0.716307, acc: 0.486328] [A loss: 0.815464, acc: 0.265625] 8780: [D loss: 0.700630, acc: 0.515625] [A loss: 0.791880, acc: 0.289062] 8781: [D loss: 0.699273, acc: 0.537109] [A loss: 0.811563, acc: 0.261719] 8782: [D loss: 0.709370, acc: 0.490234] [A loss: 0.858910, acc: 0.179688] 8783: [D loss: 0.691914, acc: 0.531250] [A loss: 0.804994, acc: 0.257812] 8784: [D loss: 0.704279, acc: 0.486328] [A loss: 0.851342, acc: 0.167969] 8785: [D loss: 0.707687, acc: 0.517578] [A loss: 0.764828, acc: 0.335938] 8786: [D loss: 0.700833, acc: 0.535156] [A loss: 0.916910, acc: 0.175781] 8787: [D loss: 0.715637, acc: 0.501953] [A loss: 0.777365, acc: 0.339844] 8788: [D loss: 0.717446, acc: 0.494141] [A loss: 0.911372, acc: 0.148438] 8789: [D loss: 0.705986, acc: 0.476562] [A loss: 0.703188, acc: 0.503906] 8790: [D loss: 0.726762, acc: 0.476562] [A loss: 0.907579, acc: 0.164062] 8791: [D loss: 0.701762, acc: 0.517578] [A loss: 0.743349, acc: 0.414062] 8792: [D loss: 0.705682, acc: 0.523438] [A loss: 0.897571, acc: 0.175781] 8793: [D loss: 0.702668, acc: 0.523438] [A loss: 0.733794, acc: 0.468750] 8794: [D loss: 0.709351, acc: 0.511719] [A loss: 0.934842, acc: 0.125000] 8795: [D loss: 0.703688, acc: 0.501953] [A loss: 0.782824, acc: 0.351562] 8796: [D loss: 0.703697, acc: 0.541016] [A loss: 0.824745, acc: 0.246094] 8797: [D loss: 0.694063, acc: 0.544922] [A loss: 0.797598, acc: 0.328125] 8798: [D loss: 0.690894, acc: 0.529297] [A loss: 0.941630, acc: 0.128906] 8799: [D loss: 0.686603, acc: 0.535156] [A loss: 0.704390, acc: 0.523438] 8800: [D loss: 0.723554, acc: 0.519531] [A loss: 0.902081, acc: 0.171875] 8801: [D loss: 0.713061, acc: 0.480469] [A loss: 0.730617, acc: 0.457031] 8802: [D loss: 0.717829, acc: 0.507812] [A loss: 0.940114, acc: 0.101562] 8803: [D loss: 0.697271, acc: 0.490234] [A loss: 0.700956, acc: 0.496094] 8804: [D loss: 0.706166, acc: 0.517578] [A loss: 0.865751, acc: 0.187500] 8805: [D loss: 0.705917, acc: 0.507812] [A loss: 0.764038, acc: 0.355469] 8806: [D loss: 0.707164, acc: 0.515625] [A loss: 0.855633, acc: 0.234375] 8807: [D loss: 0.698499, acc: 0.513672] [A loss: 0.748409, acc: 0.386719] 8808: [D loss: 0.707971, acc: 0.501953] [A loss: 0.863058, acc: 0.207031] 8809: [D loss: 0.699906, acc: 0.521484] [A loss: 0.728193, acc: 0.417969] 8810: [D loss: 0.710474, acc: 0.515625] [A loss: 0.852482, acc: 0.203125] 8811: [D loss: 0.716042, acc: 0.511719] [A loss: 0.796201, acc: 0.292969] 8812: [D loss: 0.689432, acc: 0.535156] [A loss: 0.841559, acc: 0.234375] 8813: [D loss: 0.712672, acc: 0.507812] [A loss: 0.737084, acc: 0.421875] 8814: [D loss: 0.708067, acc: 0.529297] [A loss: 0.842866, acc: 0.179688] 8815: [D loss: 0.700904, acc: 0.515625] [A loss: 0.795742, acc: 0.277344] 8816: [D loss: 0.712109, acc: 0.500000] [A loss: 0.853194, acc: 0.222656] 8817: [D loss: 0.703101, acc: 0.507812] [A loss: 0.696540, acc: 0.515625] 8818: [D loss: 0.708571, acc: 0.535156] [A loss: 0.957870, acc: 0.078125] 8819: [D loss: 0.710500, acc: 0.521484] [A loss: 0.670087, acc: 0.593750] 8820: [D loss: 0.720823, acc: 0.494141] [A loss: 0.943636, acc: 0.125000] 8821: [D loss: 0.697312, acc: 0.521484] [A loss: 0.726109, acc: 0.468750] 8822: [D loss: 0.714814, acc: 0.505859] [A loss: 0.930065, acc: 0.082031] 8823: [D loss: 0.704938, acc: 0.505859] [A loss: 0.807506, acc: 0.246094] 8824: [D loss: 0.707077, acc: 0.498047] [A loss: 0.846070, acc: 0.253906] 8825: [D loss: 0.695346, acc: 0.537109] [A loss: 0.772281, acc: 0.343750] 8826: [D loss: 0.708736, acc: 0.507812] [A loss: 0.841853, acc: 0.253906] 8827: [D loss: 0.706743, acc: 0.517578] [A loss: 0.849400, acc: 0.191406] 8828: [D loss: 0.708602, acc: 0.507812] [A loss: 0.840630, acc: 0.214844] 8829: [D loss: 0.692944, acc: 0.542969] [A loss: 0.764776, acc: 0.378906] 8830: [D loss: 0.712579, acc: 0.511719] [A loss: 0.871328, acc: 0.195312] 8831: [D loss: 0.698450, acc: 0.529297] [A loss: 0.821947, acc: 0.289062] 8832: [D loss: 0.711420, acc: 0.525391] [A loss: 0.820788, acc: 0.269531] 8833: [D loss: 0.712920, acc: 0.470703] [A loss: 0.839148, acc: 0.238281] 8834: [D loss: 0.685172, acc: 0.542969] [A loss: 0.733796, acc: 0.433594] 8835: [D loss: 0.708012, acc: 0.503906] [A loss: 0.918710, acc: 0.156250] 8836: [D loss: 0.706102, acc: 0.531250] [A loss: 0.710830, acc: 0.511719] 8837: [D loss: 0.728479, acc: 0.490234] [A loss: 1.149125, acc: 0.027344] 8838: [D loss: 0.702810, acc: 0.533203] [A loss: 0.659615, acc: 0.644531] 8839: [D loss: 0.727093, acc: 0.537109] [A loss: 0.909227, acc: 0.113281] 8840: [D loss: 0.698799, acc: 0.546875] [A loss: 0.697293, acc: 0.535156] 8841: [D loss: 0.717275, acc: 0.509766] [A loss: 0.931929, acc: 0.132812] 8842: [D loss: 0.701155, acc: 0.531250] [A loss: 0.720210, acc: 0.468750] 8843: [D loss: 0.718503, acc: 0.507812] [A loss: 0.924608, acc: 0.121094] 8844: [D loss: 0.685041, acc: 0.548828] [A loss: 0.698875, acc: 0.515625] 8845: [D loss: 0.736261, acc: 0.486328] [A loss: 0.844104, acc: 0.199219] 8846: [D loss: 0.700865, acc: 0.517578] [A loss: 0.747754, acc: 0.347656] 8847: [D loss: 0.692349, acc: 0.546875] [A loss: 0.809784, acc: 0.269531] 8848: [D loss: 0.698265, acc: 0.517578] [A loss: 0.777378, acc: 0.300781] 8849: [D loss: 0.708801, acc: 0.511719] [A loss: 0.763262, acc: 0.359375] 8850: [D loss: 0.693191, acc: 0.541016] [A loss: 0.819437, acc: 0.230469] 8851: [D loss: 0.684588, acc: 0.544922] [A loss: 0.778409, acc: 0.367188] 8852: [D loss: 0.709764, acc: 0.494141] [A loss: 0.782895, acc: 0.359375] 8853: [D loss: 0.693936, acc: 0.539062] [A loss: 0.839047, acc: 0.234375] 8854: [D loss: 0.698318, acc: 0.503906] [A loss: 0.741415, acc: 0.417969] 8855: [D loss: 0.705963, acc: 0.556641] [A loss: 0.859270, acc: 0.199219] 8856: [D loss: 0.703029, acc: 0.550781] [A loss: 0.798364, acc: 0.308594] 8857: [D loss: 0.707982, acc: 0.535156] [A loss: 0.825249, acc: 0.257812] 8858: [D loss: 0.703759, acc: 0.515625] [A loss: 0.801052, acc: 0.316406] 8859: [D loss: 0.699177, acc: 0.548828] [A loss: 0.805043, acc: 0.304688] 8860: [D loss: 0.693224, acc: 0.535156] [A loss: 0.837021, acc: 0.226562] 8861: [D loss: 0.687838, acc: 0.574219] [A loss: 0.749168, acc: 0.398438] 8862: [D loss: 0.720203, acc: 0.523438] [A loss: 0.924078, acc: 0.148438] 8863: [D loss: 0.696368, acc: 0.509766] [A loss: 0.672231, acc: 0.574219] 8864: [D loss: 0.731847, acc: 0.486328] [A loss: 1.043666, acc: 0.062500] 8865: [D loss: 0.683723, acc: 0.564453] [A loss: 0.636694, acc: 0.671875] 8866: [D loss: 0.733137, acc: 0.492188] [A loss: 0.987442, acc: 0.058594] 8867: [D loss: 0.694709, acc: 0.515625] [A loss: 0.662599, acc: 0.601562] 8868: [D loss: 0.717538, acc: 0.527344] [A loss: 0.823053, acc: 0.226562] 8869: [D loss: 0.696996, acc: 0.527344] [A loss: 0.756688, acc: 0.367188] 8870: [D loss: 0.722572, acc: 0.498047] [A loss: 0.810305, acc: 0.257812] 8871: [D loss: 0.703095, acc: 0.519531] [A loss: 0.830558, acc: 0.265625] 8872: [D loss: 0.705097, acc: 0.472656] [A loss: 0.751989, acc: 0.386719] 8873: [D loss: 0.706212, acc: 0.501953] [A loss: 0.826326, acc: 0.207031] 8874: [D loss: 0.703363, acc: 0.537109] [A loss: 0.775090, acc: 0.324219] 8875: [D loss: 0.707362, acc: 0.503906] [A loss: 0.796192, acc: 0.285156] 8876: [D loss: 0.700416, acc: 0.539062] [A loss: 0.839886, acc: 0.195312] 8877: [D loss: 0.697313, acc: 0.537109] [A loss: 0.780286, acc: 0.277344] 8878: [D loss: 0.706244, acc: 0.507812] [A loss: 0.928331, acc: 0.144531] 8879: [D loss: 0.713708, acc: 0.503906] [A loss: 0.755323, acc: 0.347656] 8880: [D loss: 0.722132, acc: 0.488281] [A loss: 0.807376, acc: 0.277344] 8881: [D loss: 0.708329, acc: 0.496094] [A loss: 0.809827, acc: 0.261719] 8882: [D loss: 0.706522, acc: 0.492188] [A loss: 0.807437, acc: 0.289062] 8883: [D loss: 0.691122, acc: 0.529297] [A loss: 0.810246, acc: 0.273438] 8884: [D loss: 0.710952, acc: 0.507812] [A loss: 0.823280, acc: 0.269531] 8885: [D loss: 0.711686, acc: 0.500000] [A loss: 0.871970, acc: 0.203125] 8886: [D loss: 0.721781, acc: 0.503906] [A loss: 0.772011, acc: 0.367188] 8887: [D loss: 0.714621, acc: 0.519531] [A loss: 0.857374, acc: 0.207031] 8888: [D loss: 0.706959, acc: 0.498047] [A loss: 0.775163, acc: 0.355469] 8889: [D loss: 0.725435, acc: 0.507812] [A loss: 0.925214, acc: 0.109375] 8890: [D loss: 0.685041, acc: 0.550781] [A loss: 0.669911, acc: 0.593750] 8891: [D loss: 0.718920, acc: 0.511719] [A loss: 0.941206, acc: 0.093750] 8892: [D loss: 0.700854, acc: 0.496094] [A loss: 0.667614, acc: 0.609375] 8893: [D loss: 0.737495, acc: 0.505859] [A loss: 0.931342, acc: 0.109375] 8894: [D loss: 0.696186, acc: 0.523438] [A loss: 0.710890, acc: 0.464844] 8895: [D loss: 0.729962, acc: 0.500000] [A loss: 0.881449, acc: 0.156250] 8896: [D loss: 0.697959, acc: 0.513672] [A loss: 0.771332, acc: 0.378906] 8897: [D loss: 0.707722, acc: 0.509766] [A loss: 0.788568, acc: 0.316406] 8898: [D loss: 0.713264, acc: 0.468750] [A loss: 0.785835, acc: 0.320312] 8899: [D loss: 0.691637, acc: 0.558594] [A loss: 0.787941, acc: 0.300781] 8900: [D loss: 0.707774, acc: 0.500000] [A loss: 0.846603, acc: 0.218750] 8901: [D loss: 0.707316, acc: 0.498047] [A loss: 0.750006, acc: 0.433594] 8902: [D loss: 0.703439, acc: 0.529297] [A loss: 0.841222, acc: 0.253906] 8903: [D loss: 0.703882, acc: 0.505859] [A loss: 0.743222, acc: 0.402344] 8904: [D loss: 0.700787, acc: 0.531250] [A loss: 0.882036, acc: 0.140625] 8905: [D loss: 0.694480, acc: 0.525391] [A loss: 0.785040, acc: 0.277344] 8906: [D loss: 0.705854, acc: 0.519531] [A loss: 0.859752, acc: 0.167969] 8907: [D loss: 0.711832, acc: 0.478516] [A loss: 0.760989, acc: 0.359375] 8908: [D loss: 0.709968, acc: 0.533203] [A loss: 0.822827, acc: 0.222656] 8909: [D loss: 0.695603, acc: 0.541016] [A loss: 0.762117, acc: 0.371094] 8910: [D loss: 0.706982, acc: 0.509766] [A loss: 0.923178, acc: 0.128906] 8911: [D loss: 0.706907, acc: 0.494141] [A loss: 0.681913, acc: 0.539062] 8912: [D loss: 0.718652, acc: 0.511719] [A loss: 0.961185, acc: 0.101562] 8913: [D loss: 0.699507, acc: 0.505859] [A loss: 0.715641, acc: 0.496094] 8914: [D loss: 0.712609, acc: 0.521484] [A loss: 0.878256, acc: 0.199219] 8915: [D loss: 0.702585, acc: 0.515625] [A loss: 0.712844, acc: 0.507812] 8916: [D loss: 0.713546, acc: 0.527344] [A loss: 0.851000, acc: 0.199219] 8917: [D loss: 0.694959, acc: 0.544922] [A loss: 0.747869, acc: 0.378906] 8918: [D loss: 0.700157, acc: 0.521484] [A loss: 0.820573, acc: 0.261719] 8919: [D loss: 0.690379, acc: 0.525391] [A loss: 0.931808, acc: 0.136719] 8920: [D loss: 0.688360, acc: 0.542969] [A loss: 0.789131, acc: 0.343750] 8921: [D loss: 0.699472, acc: 0.523438] [A loss: 0.918092, acc: 0.136719] 8922: [D loss: 0.704583, acc: 0.486328] [A loss: 0.789686, acc: 0.289062] 8923: [D loss: 0.722413, acc: 0.470703] [A loss: 0.860903, acc: 0.167969] 8924: [D loss: 0.694200, acc: 0.513672] [A loss: 0.754513, acc: 0.402344] 8925: [D loss: 0.706848, acc: 0.531250] [A loss: 0.892748, acc: 0.140625] 8926: [D loss: 0.700791, acc: 0.507812] [A loss: 0.714156, acc: 0.460938] 8927: [D loss: 0.714475, acc: 0.531250] [A loss: 0.925560, acc: 0.117188] 8928: [D loss: 0.694482, acc: 0.507812] [A loss: 0.681318, acc: 0.570312] 8929: [D loss: 0.720833, acc: 0.527344] [A loss: 0.940479, acc: 0.082031] 8930: [D loss: 0.706840, acc: 0.513672] [A loss: 0.751693, acc: 0.406250] 8931: [D loss: 0.706828, acc: 0.537109] [A loss: 0.884083, acc: 0.160156] 8932: [D loss: 0.694440, acc: 0.523438] [A loss: 0.730092, acc: 0.417969] 8933: [D loss: 0.712381, acc: 0.515625] [A loss: 0.882889, acc: 0.160156] 8934: [D loss: 0.698694, acc: 0.513672] [A loss: 0.744254, acc: 0.378906] 8935: [D loss: 0.707924, acc: 0.519531] [A loss: 0.897328, acc: 0.171875] 8936: [D loss: 0.692003, acc: 0.531250] [A loss: 0.740389, acc: 0.390625] 8937: [D loss: 0.714812, acc: 0.521484] [A loss: 0.880661, acc: 0.175781] 8938: [D loss: 0.706677, acc: 0.519531] [A loss: 0.710221, acc: 0.445312] 8939: [D loss: 0.716590, acc: 0.501953] [A loss: 0.861731, acc: 0.187500] 8940: [D loss: 0.713154, acc: 0.501953] [A loss: 0.862827, acc: 0.210938] 8941: [D loss: 0.713305, acc: 0.494141] [A loss: 0.809695, acc: 0.273438] 8942: [D loss: 0.701333, acc: 0.505859] [A loss: 0.828906, acc: 0.242188] 8943: [D loss: 0.687105, acc: 0.539062] [A loss: 0.838990, acc: 0.230469] 8944: [D loss: 0.702712, acc: 0.542969] [A loss: 0.821904, acc: 0.273438] 8945: [D loss: 0.693907, acc: 0.542969] [A loss: 0.782151, acc: 0.320312] 8946: [D loss: 0.703089, acc: 0.523438] [A loss: 0.954172, acc: 0.148438] 8947: [D loss: 0.699885, acc: 0.509766] [A loss: 0.729485, acc: 0.453125] 8948: [D loss: 0.711981, acc: 0.523438] [A loss: 0.891533, acc: 0.125000] 8949: [D loss: 0.707659, acc: 0.525391] [A loss: 0.720128, acc: 0.441406] 8950: [D loss: 0.713194, acc: 0.492188] [A loss: 0.844815, acc: 0.250000] 8951: [D loss: 0.693169, acc: 0.533203] [A loss: 0.736123, acc: 0.449219] 8952: [D loss: 0.715431, acc: 0.505859] [A loss: 0.923117, acc: 0.144531] 8953: [D loss: 0.706828, acc: 0.503906] [A loss: 0.699660, acc: 0.464844] 8954: [D loss: 0.704920, acc: 0.498047] [A loss: 0.905262, acc: 0.113281] 8955: [D loss: 0.712114, acc: 0.521484] [A loss: 0.747930, acc: 0.406250] 8956: [D loss: 0.727660, acc: 0.500000] [A loss: 0.880306, acc: 0.175781] 8957: [D loss: 0.690839, acc: 0.552734] [A loss: 0.789457, acc: 0.347656] 8958: [D loss: 0.707288, acc: 0.492188] [A loss: 0.732349, acc: 0.421875] 8959: [D loss: 0.706780, acc: 0.515625] [A loss: 0.961163, acc: 0.089844] 8960: [D loss: 0.710329, acc: 0.498047] [A loss: 0.720789, acc: 0.500000] 8961: [D loss: 0.710531, acc: 0.513672] [A loss: 0.868151, acc: 0.148438] 8962: [D loss: 0.695942, acc: 0.525391] [A loss: 0.725515, acc: 0.449219] 8963: [D loss: 0.713023, acc: 0.505859] [A loss: 1.011575, acc: 0.082031] 8964: [D loss: 0.696252, acc: 0.519531] [A loss: 0.675388, acc: 0.562500] 8965: [D loss: 0.712629, acc: 0.531250] [A loss: 0.934440, acc: 0.113281] 8966: [D loss: 0.707096, acc: 0.507812] [A loss: 0.757455, acc: 0.375000] 8967: [D loss: 0.708831, acc: 0.513672] [A loss: 0.779552, acc: 0.277344] 8968: [D loss: 0.703097, acc: 0.525391] [A loss: 0.784621, acc: 0.292969] 8969: [D loss: 0.702899, acc: 0.515625] [A loss: 0.820836, acc: 0.257812] 8970: [D loss: 0.692114, acc: 0.548828] [A loss: 0.859072, acc: 0.207031] 8971: [D loss: 0.699540, acc: 0.521484] [A loss: 0.786119, acc: 0.304688] 8972: [D loss: 0.706579, acc: 0.505859] [A loss: 0.873524, acc: 0.183594] 8973: [D loss: 0.707983, acc: 0.468750] [A loss: 0.822598, acc: 0.253906] 8974: [D loss: 0.700251, acc: 0.503906] [A loss: 0.820066, acc: 0.246094] 8975: [D loss: 0.699336, acc: 0.531250] [A loss: 0.820323, acc: 0.222656] 8976: [D loss: 0.706186, acc: 0.521484] [A loss: 0.853424, acc: 0.214844] 8977: [D loss: 0.703113, acc: 0.519531] [A loss: 0.798175, acc: 0.296875] 8978: [D loss: 0.710472, acc: 0.503906] [A loss: 0.905279, acc: 0.140625] 8979: [D loss: 0.704451, acc: 0.505859] [A loss: 0.726676, acc: 0.476562] 8980: [D loss: 0.705448, acc: 0.507812] [A loss: 0.910812, acc: 0.128906] 8981: [D loss: 0.698667, acc: 0.535156] [A loss: 0.714084, acc: 0.484375] 8982: [D loss: 0.707474, acc: 0.529297] [A loss: 0.922976, acc: 0.109375] 8983: [D loss: 0.701807, acc: 0.500000] [A loss: 0.744600, acc: 0.378906] 8984: [D loss: 0.719112, acc: 0.494141] [A loss: 0.894010, acc: 0.105469] 8985: [D loss: 0.696405, acc: 0.513672] [A loss: 0.754016, acc: 0.417969] 8986: [D loss: 0.713688, acc: 0.507812] [A loss: 0.900623, acc: 0.164062] 8987: [D loss: 0.692337, acc: 0.537109] [A loss: 0.750957, acc: 0.375000] 8988: [D loss: 0.726114, acc: 0.484375] [A loss: 0.987999, acc: 0.058594] 8989: [D loss: 0.701722, acc: 0.501953] [A loss: 0.689949, acc: 0.523438] 8990: [D loss: 0.716530, acc: 0.515625] [A loss: 0.877481, acc: 0.167969] 8991: [D loss: 0.711832, acc: 0.476562] [A loss: 0.735726, acc: 0.445312] 8992: [D loss: 0.693269, acc: 0.527344] [A loss: 0.965933, acc: 0.085938] 8993: [D loss: 0.700573, acc: 0.509766] [A loss: 0.656731, acc: 0.609375] 8994: [D loss: 0.708045, acc: 0.521484] [A loss: 0.878126, acc: 0.156250] 8995: [D loss: 0.698905, acc: 0.505859] [A loss: 0.736470, acc: 0.414062] 8996: [D loss: 0.705137, acc: 0.527344] [A loss: 0.928530, acc: 0.164062] 8997: [D loss: 0.694681, acc: 0.519531] [A loss: 0.705659, acc: 0.496094] 8998: [D loss: 0.696482, acc: 0.564453] [A loss: 0.864793, acc: 0.179688] 8999: [D loss: 0.711435, acc: 0.500000] [A loss: 0.736519, acc: 0.425781] 9000: [D loss: 0.700054, acc: 0.544922] [A loss: 0.884861, acc: 0.171875] 9001: [D loss: 0.699071, acc: 0.537109] [A loss: 0.733494, acc: 0.449219] 9002: [D loss: 0.699793, acc: 0.531250] [A loss: 0.856677, acc: 0.242188] 9003: [D loss: 0.707824, acc: 0.507812] [A loss: 0.785239, acc: 0.308594] 9004: [D loss: 0.704454, acc: 0.503906] [A loss: 0.794106, acc: 0.304688] 9005: [D loss: 0.707473, acc: 0.513672] [A loss: 0.887727, acc: 0.171875] 9006: [D loss: 0.707655, acc: 0.509766] [A loss: 0.772280, acc: 0.328125] 9007: [D loss: 0.707557, acc: 0.539062] [A loss: 0.880672, acc: 0.175781] 9008: [D loss: 0.689659, acc: 0.539062] [A loss: 0.727662, acc: 0.421875] 9009: [D loss: 0.710475, acc: 0.515625] [A loss: 0.958323, acc: 0.117188] 9010: [D loss: 0.707125, acc: 0.505859] [A loss: 0.744350, acc: 0.378906] 9011: [D loss: 0.701558, acc: 0.533203] [A loss: 0.874526, acc: 0.214844] 9012: [D loss: 0.701453, acc: 0.525391] [A loss: 0.730166, acc: 0.410156] 9013: [D loss: 0.721158, acc: 0.511719] [A loss: 0.866280, acc: 0.187500] 9014: [D loss: 0.684527, acc: 0.527344] [A loss: 0.782737, acc: 0.320312] 9015: [D loss: 0.702268, acc: 0.515625] [A loss: 0.894354, acc: 0.187500] 9016: [D loss: 0.687245, acc: 0.548828] [A loss: 0.705362, acc: 0.527344] 9017: [D loss: 0.720488, acc: 0.492188] [A loss: 1.048740, acc: 0.046875] 9018: [D loss: 0.719409, acc: 0.488281] [A loss: 0.664234, acc: 0.578125] 9019: [D loss: 0.730423, acc: 0.498047] [A loss: 0.908383, acc: 0.128906] 9020: [D loss: 0.700581, acc: 0.519531] [A loss: 0.735306, acc: 0.414062] 9021: [D loss: 0.712577, acc: 0.496094] [A loss: 0.881992, acc: 0.210938] 9022: [D loss: 0.702025, acc: 0.509766] [A loss: 0.755324, acc: 0.414062] 9023: [D loss: 0.688500, acc: 0.568359] [A loss: 0.806401, acc: 0.296875] 9024: [D loss: 0.686381, acc: 0.554688] [A loss: 0.788816, acc: 0.312500] 9025: [D loss: 0.682685, acc: 0.576172] [A loss: 0.770800, acc: 0.359375] 9026: [D loss: 0.688177, acc: 0.535156] [A loss: 0.771243, acc: 0.335938] 9027: [D loss: 0.710961, acc: 0.517578] [A loss: 0.834303, acc: 0.246094] 9028: [D loss: 0.706168, acc: 0.533203] [A loss: 0.756444, acc: 0.410156] 9029: [D loss: 0.707591, acc: 0.529297] [A loss: 0.863333, acc: 0.195312] 9030: [D loss: 0.695957, acc: 0.523438] [A loss: 0.768047, acc: 0.375000] 9031: [D loss: 0.698020, acc: 0.537109] [A loss: 0.803612, acc: 0.281250] 9032: [D loss: 0.712631, acc: 0.523438] [A loss: 0.842015, acc: 0.230469] 9033: [D loss: 0.712804, acc: 0.505859] [A loss: 0.835958, acc: 0.226562] 9034: [D loss: 0.692681, acc: 0.517578] [A loss: 0.751695, acc: 0.402344] 9035: [D loss: 0.713412, acc: 0.505859] [A loss: 0.923907, acc: 0.105469] 9036: [D loss: 0.709468, acc: 0.513672] [A loss: 0.705646, acc: 0.503906] 9037: [D loss: 0.711978, acc: 0.521484] [A loss: 0.944368, acc: 0.101562] 9038: [D loss: 0.692218, acc: 0.554688] [A loss: 0.693297, acc: 0.496094] 9039: [D loss: 0.731897, acc: 0.498047] [A loss: 0.934253, acc: 0.148438] 9040: [D loss: 0.709975, acc: 0.494141] [A loss: 0.751917, acc: 0.417969] 9041: [D loss: 0.705668, acc: 0.519531] [A loss: 0.935800, acc: 0.109375] 9042: [D loss: 0.697932, acc: 0.525391] [A loss: 0.706904, acc: 0.515625] 9043: [D loss: 0.715400, acc: 0.498047] [A loss: 0.950693, acc: 0.093750] 9044: [D loss: 0.698949, acc: 0.523438] [A loss: 0.681570, acc: 0.593750] 9045: [D loss: 0.718848, acc: 0.521484] [A loss: 0.876912, acc: 0.179688] 9046: [D loss: 0.700405, acc: 0.517578] [A loss: 0.776843, acc: 0.328125] 9047: [D loss: 0.714087, acc: 0.476562] [A loss: 0.869711, acc: 0.148438] 9048: [D loss: 0.696579, acc: 0.552734] [A loss: 0.788525, acc: 0.332031] 9049: [D loss: 0.713607, acc: 0.517578] [A loss: 0.802175, acc: 0.277344] 9050: [D loss: 0.702970, acc: 0.552734] [A loss: 0.811296, acc: 0.285156] 9051: [D loss: 0.705580, acc: 0.505859] [A loss: 0.779375, acc: 0.335938] 9052: [D loss: 0.710194, acc: 0.523438] [A loss: 0.883903, acc: 0.152344] 9053: [D loss: 0.684435, acc: 0.546875] [A loss: 0.695831, acc: 0.531250] 9054: [D loss: 0.712581, acc: 0.525391] [A loss: 0.951434, acc: 0.144531] 9055: [D loss: 0.704197, acc: 0.511719] [A loss: 0.722872, acc: 0.453125] 9056: [D loss: 0.716504, acc: 0.511719] [A loss: 0.909568, acc: 0.144531] 9057: [D loss: 0.697693, acc: 0.517578] [A loss: 0.718293, acc: 0.472656] 9058: [D loss: 0.695635, acc: 0.544922] [A loss: 0.898407, acc: 0.167969] 9059: [D loss: 0.704863, acc: 0.521484] [A loss: 0.722560, acc: 0.429688] 9060: [D loss: 0.731566, acc: 0.480469] [A loss: 0.927516, acc: 0.128906] 9061: [D loss: 0.702580, acc: 0.511719] [A loss: 0.736883, acc: 0.417969] 9062: [D loss: 0.703971, acc: 0.542969] [A loss: 0.850390, acc: 0.199219] 9063: [D loss: 0.696759, acc: 0.521484] [A loss: 0.816125, acc: 0.289062] 9064: [D loss: 0.700162, acc: 0.513672] [A loss: 0.795090, acc: 0.253906] 9065: [D loss: 0.693955, acc: 0.533203] [A loss: 0.822979, acc: 0.289062] 9066: [D loss: 0.685029, acc: 0.562500] [A loss: 0.835742, acc: 0.210938] 9067: [D loss: 0.696931, acc: 0.517578] [A loss: 0.851901, acc: 0.214844] 9068: [D loss: 0.705721, acc: 0.537109] [A loss: 0.879470, acc: 0.175781] 9069: [D loss: 0.701210, acc: 0.505859] [A loss: 0.726748, acc: 0.457031] 9070: [D loss: 0.730136, acc: 0.501953] [A loss: 0.969458, acc: 0.070312] 9071: [D loss: 0.711390, acc: 0.498047] [A loss: 0.664668, acc: 0.589844] 9072: [D loss: 0.721946, acc: 0.507812] [A loss: 1.080032, acc: 0.074219] 9073: [D loss: 0.702438, acc: 0.515625] [A loss: 0.695397, acc: 0.531250] 9074: [D loss: 0.715739, acc: 0.531250] [A loss: 0.847242, acc: 0.210938] 9075: [D loss: 0.698871, acc: 0.533203] [A loss: 0.754443, acc: 0.390625] 9076: [D loss: 0.699811, acc: 0.523438] [A loss: 0.853744, acc: 0.207031] 9077: [D loss: 0.700901, acc: 0.527344] [A loss: 0.826751, acc: 0.296875] 9078: [D loss: 0.699985, acc: 0.509766] [A loss: 0.773533, acc: 0.332031] 9079: [D loss: 0.699922, acc: 0.529297] [A loss: 0.792652, acc: 0.335938] 9080: [D loss: 0.696858, acc: 0.546875] [A loss: 0.835867, acc: 0.289062] 9081: [D loss: 0.710762, acc: 0.509766] [A loss: 0.762964, acc: 0.394531] 9082: [D loss: 0.704707, acc: 0.546875] [A loss: 0.941546, acc: 0.132812] 9083: [D loss: 0.710183, acc: 0.525391] [A loss: 0.723517, acc: 0.476562] 9084: [D loss: 0.715031, acc: 0.517578] [A loss: 0.883169, acc: 0.152344] 9085: [D loss: 0.695856, acc: 0.535156] [A loss: 0.770510, acc: 0.351562] 9086: [D loss: 0.719602, acc: 0.515625] [A loss: 0.857878, acc: 0.210938] 9087: [D loss: 0.685488, acc: 0.544922] [A loss: 0.762144, acc: 0.386719] 9088: [D loss: 0.711143, acc: 0.500000] [A loss: 0.851088, acc: 0.183594] 9089: [D loss: 0.713901, acc: 0.470703] [A loss: 0.740802, acc: 0.433594] 9090: [D loss: 0.714713, acc: 0.501953] [A loss: 0.903371, acc: 0.164062] 9091: [D loss: 0.711767, acc: 0.503906] [A loss: 0.754936, acc: 0.394531] 9092: [D loss: 0.702004, acc: 0.537109] [A loss: 0.968568, acc: 0.085938] 9093: [D loss: 0.706438, acc: 0.517578] [A loss: 0.716197, acc: 0.496094] 9094: [D loss: 0.723163, acc: 0.494141] [A loss: 0.962380, acc: 0.089844] 9095: [D loss: 0.691466, acc: 0.568359] [A loss: 0.705224, acc: 0.484375] 9096: [D loss: 0.705818, acc: 0.519531] [A loss: 0.917835, acc: 0.144531] 9097: [D loss: 0.701845, acc: 0.513672] [A loss: 0.724953, acc: 0.480469] 9098: [D loss: 0.722086, acc: 0.541016] [A loss: 0.942659, acc: 0.097656] 9099: [D loss: 0.689396, acc: 0.527344] [A loss: 0.653256, acc: 0.605469] 9100: [D loss: 0.722630, acc: 0.546875] [A loss: 0.884687, acc: 0.175781] 9101: [D loss: 0.686689, acc: 0.556641] [A loss: 0.709774, acc: 0.511719] 9102: [D loss: 0.713229, acc: 0.498047] [A loss: 0.846307, acc: 0.203125] 9103: [D loss: 0.702926, acc: 0.507812] [A loss: 0.741945, acc: 0.406250] 9104: [D loss: 0.728088, acc: 0.470703] [A loss: 0.953509, acc: 0.121094] 9105: [D loss: 0.702789, acc: 0.519531] [A loss: 0.706802, acc: 0.453125] 9106: [D loss: 0.710231, acc: 0.496094] [A loss: 0.830875, acc: 0.230469] 9107: [D loss: 0.694131, acc: 0.552734] [A loss: 0.845021, acc: 0.230469] 9108: [D loss: 0.706142, acc: 0.509766] [A loss: 0.806265, acc: 0.257812] 9109: [D loss: 0.692577, acc: 0.535156] [A loss: 0.833545, acc: 0.277344] 9110: [D loss: 0.719649, acc: 0.474609] [A loss: 0.841387, acc: 0.218750] 9111: [D loss: 0.702203, acc: 0.503906] [A loss: 0.788227, acc: 0.300781] 9112: [D loss: 0.696302, acc: 0.531250] [A loss: 0.897438, acc: 0.160156] 9113: [D loss: 0.704820, acc: 0.521484] [A loss: 0.724679, acc: 0.464844] 9114: [D loss: 0.725098, acc: 0.488281] [A loss: 0.920263, acc: 0.136719] 9115: [D loss: 0.716569, acc: 0.490234] [A loss: 0.732092, acc: 0.441406] 9116: [D loss: 0.714426, acc: 0.480469] [A loss: 0.894963, acc: 0.164062] 9117: [D loss: 0.708437, acc: 0.525391] [A loss: 0.729356, acc: 0.441406] 9118: [D loss: 0.738652, acc: 0.474609] [A loss: 0.932535, acc: 0.132812] 9119: [D loss: 0.698263, acc: 0.507812] [A loss: 0.729195, acc: 0.437500] 9120: [D loss: 0.704652, acc: 0.521484] [A loss: 0.888424, acc: 0.164062] 9121: [D loss: 0.699368, acc: 0.541016] [A loss: 0.702112, acc: 0.519531] 9122: [D loss: 0.729361, acc: 0.492188] [A loss: 0.956759, acc: 0.101562] 9123: [D loss: 0.709285, acc: 0.500000] [A loss: 0.753158, acc: 0.390625] 9124: [D loss: 0.718233, acc: 0.501953] [A loss: 0.883599, acc: 0.140625] 9125: [D loss: 0.699519, acc: 0.511719] [A loss: 0.828787, acc: 0.261719] 9126: [D loss: 0.697661, acc: 0.515625] [A loss: 0.823391, acc: 0.269531] 9127: [D loss: 0.689792, acc: 0.519531] [A loss: 0.781768, acc: 0.316406] 9128: [D loss: 0.700240, acc: 0.521484] [A loss: 0.861186, acc: 0.195312] 9129: [D loss: 0.692906, acc: 0.554688] [A loss: 0.838361, acc: 0.277344] 9130: [D loss: 0.708369, acc: 0.533203] [A loss: 0.930656, acc: 0.144531] 9131: [D loss: 0.695933, acc: 0.533203] [A loss: 0.697142, acc: 0.535156] 9132: [D loss: 0.706983, acc: 0.537109] [A loss: 0.926722, acc: 0.113281] 9133: [D loss: 0.702278, acc: 0.513672] [A loss: 0.720389, acc: 0.484375] 9134: [D loss: 0.714011, acc: 0.498047] [A loss: 0.919220, acc: 0.156250] 9135: [D loss: 0.713355, acc: 0.507812] [A loss: 0.720594, acc: 0.457031] 9136: [D loss: 0.702667, acc: 0.541016] [A loss: 0.905094, acc: 0.125000] 9137: [D loss: 0.705674, acc: 0.513672] [A loss: 0.736148, acc: 0.417969] 9138: [D loss: 0.698925, acc: 0.541016] [A loss: 0.939062, acc: 0.093750] 9139: [D loss: 0.702820, acc: 0.515625] [A loss: 0.634718, acc: 0.621094] 9140: [D loss: 0.728400, acc: 0.515625] [A loss: 0.952818, acc: 0.121094] 9141: [D loss: 0.705371, acc: 0.531250] [A loss: 0.732314, acc: 0.453125] 9142: [D loss: 0.712794, acc: 0.511719] [A loss: 0.813666, acc: 0.277344] 9143: [D loss: 0.716504, acc: 0.498047] [A loss: 0.785696, acc: 0.359375] 9144: [D loss: 0.705731, acc: 0.525391] [A loss: 0.782993, acc: 0.308594] 9145: [D loss: 0.698010, acc: 0.521484] [A loss: 0.838108, acc: 0.289062] 9146: [D loss: 0.702419, acc: 0.503906] [A loss: 0.816437, acc: 0.289062] 9147: [D loss: 0.699164, acc: 0.513672] [A loss: 0.919245, acc: 0.132812] 9148: [D loss: 0.687256, acc: 0.564453] [A loss: 0.720773, acc: 0.453125] 9149: [D loss: 0.728581, acc: 0.486328] [A loss: 0.994226, acc: 0.082031] 9150: [D loss: 0.717792, acc: 0.468750] [A loss: 0.714174, acc: 0.453125] 9151: [D loss: 0.723778, acc: 0.482422] [A loss: 0.881202, acc: 0.164062] 9152: [D loss: 0.704102, acc: 0.505859] [A loss: 0.689425, acc: 0.570312] 9153: [D loss: 0.711399, acc: 0.507812] [A loss: 0.887893, acc: 0.171875] 9154: [D loss: 0.701924, acc: 0.496094] [A loss: 0.766894, acc: 0.371094] 9155: [D loss: 0.709253, acc: 0.531250] [A loss: 0.851238, acc: 0.214844] 9156: [D loss: 0.699423, acc: 0.539062] [A loss: 0.727950, acc: 0.386719] 9157: [D loss: 0.721284, acc: 0.498047] [A loss: 0.880601, acc: 0.199219] 9158: [D loss: 0.700358, acc: 0.500000] [A loss: 0.736234, acc: 0.414062] 9159: [D loss: 0.728895, acc: 0.505859] [A loss: 0.955739, acc: 0.082031] 9160: [D loss: 0.699100, acc: 0.537109] [A loss: 0.711317, acc: 0.527344] 9161: [D loss: 0.715684, acc: 0.500000] [A loss: 0.854681, acc: 0.210938] 9162: [D loss: 0.692469, acc: 0.521484] [A loss: 0.768175, acc: 0.367188] 9163: [D loss: 0.709002, acc: 0.523438] [A loss: 0.874119, acc: 0.164062] 9164: [D loss: 0.697645, acc: 0.509766] [A loss: 0.784535, acc: 0.304688] 9165: [D loss: 0.693590, acc: 0.548828] [A loss: 0.814379, acc: 0.265625] 9166: [D loss: 0.702063, acc: 0.529297] [A loss: 0.779242, acc: 0.371094] 9167: [D loss: 0.704979, acc: 0.513672] [A loss: 0.805903, acc: 0.289062] 9168: [D loss: 0.694996, acc: 0.541016] [A loss: 0.871856, acc: 0.195312] 9169: [D loss: 0.710804, acc: 0.498047] [A loss: 0.757441, acc: 0.355469] 9170: [D loss: 0.713145, acc: 0.539062] [A loss: 0.853196, acc: 0.214844] 9171: [D loss: 0.695818, acc: 0.531250] [A loss: 0.803448, acc: 0.285156] 9172: [D loss: 0.701202, acc: 0.513672] [A loss: 0.768197, acc: 0.363281] 9173: [D loss: 0.693688, acc: 0.531250] [A loss: 0.944340, acc: 0.101562] 9174: [D loss: 0.710417, acc: 0.494141] [A loss: 0.720965, acc: 0.449219] 9175: [D loss: 0.733956, acc: 0.484375] [A loss: 0.984831, acc: 0.070312] 9176: [D loss: 0.719108, acc: 0.509766] [A loss: 0.670555, acc: 0.585938] 9177: [D loss: 0.734705, acc: 0.515625] [A loss: 0.870342, acc: 0.199219] 9178: [D loss: 0.711034, acc: 0.482422] [A loss: 0.705270, acc: 0.515625] 9179: [D loss: 0.727458, acc: 0.505859] [A loss: 0.909337, acc: 0.136719] 9180: [D loss: 0.697286, acc: 0.539062] [A loss: 0.714194, acc: 0.507812] 9181: [D loss: 0.723579, acc: 0.525391] [A loss: 0.936072, acc: 0.156250] 9182: [D loss: 0.704956, acc: 0.486328] [A loss: 0.734507, acc: 0.417969] 9183: [D loss: 0.728484, acc: 0.507812] [A loss: 0.954269, acc: 0.109375] 9184: [D loss: 0.704780, acc: 0.505859] [A loss: 0.708324, acc: 0.484375] 9185: [D loss: 0.707867, acc: 0.539062] [A loss: 0.862304, acc: 0.230469] 9186: [D loss: 0.702045, acc: 0.500000] [A loss: 0.724035, acc: 0.449219] 9187: [D loss: 0.712327, acc: 0.503906] [A loss: 0.866339, acc: 0.203125] 9188: [D loss: 0.702466, acc: 0.511719] [A loss: 0.795291, acc: 0.304688] 9189: [D loss: 0.706709, acc: 0.509766] [A loss: 0.794300, acc: 0.304688] 9190: [D loss: 0.697717, acc: 0.535156] [A loss: 0.806412, acc: 0.296875] 9191: [D loss: 0.696443, acc: 0.539062] [A loss: 0.796621, acc: 0.304688] 9192: [D loss: 0.705990, acc: 0.498047] [A loss: 0.846741, acc: 0.214844] 9193: [D loss: 0.688571, acc: 0.546875] [A loss: 0.824914, acc: 0.250000] 9194: [D loss: 0.695498, acc: 0.541016] [A loss: 0.798875, acc: 0.277344] 9195: [D loss: 0.699095, acc: 0.533203] [A loss: 0.924416, acc: 0.140625] 9196: [D loss: 0.705956, acc: 0.500000] [A loss: 0.733568, acc: 0.441406] 9197: [D loss: 0.711450, acc: 0.529297] [A loss: 0.906280, acc: 0.148438] 9198: [D loss: 0.704335, acc: 0.500000] [A loss: 0.725951, acc: 0.453125] 9199: [D loss: 0.714740, acc: 0.525391] [A loss: 0.971752, acc: 0.089844] 9200: [D loss: 0.718083, acc: 0.478516] [A loss: 0.740402, acc: 0.425781] 9201: [D loss: 0.709565, acc: 0.527344] [A loss: 0.852700, acc: 0.210938] 9202: [D loss: 0.706814, acc: 0.521484] [A loss: 0.738958, acc: 0.417969] 9203: [D loss: 0.695858, acc: 0.527344] [A loss: 0.939234, acc: 0.128906] 9204: [D loss: 0.712178, acc: 0.476562] [A loss: 0.745677, acc: 0.371094] 9205: [D loss: 0.717794, acc: 0.527344] [A loss: 0.925672, acc: 0.136719] 9206: [D loss: 0.691748, acc: 0.541016] [A loss: 0.679337, acc: 0.558594] 9207: [D loss: 0.699856, acc: 0.525391] [A loss: 0.871104, acc: 0.199219] 9208: [D loss: 0.705580, acc: 0.501953] [A loss: 0.857306, acc: 0.253906] 9209: [D loss: 0.703037, acc: 0.544922] [A loss: 0.835126, acc: 0.253906] 9210: [D loss: 0.708578, acc: 0.492188] [A loss: 0.796693, acc: 0.339844] 9211: [D loss: 0.705872, acc: 0.509766] [A loss: 0.833460, acc: 0.242188] 9212: [D loss: 0.711118, acc: 0.494141] [A loss: 0.816996, acc: 0.242188] 9213: [D loss: 0.696935, acc: 0.525391] [A loss: 0.812443, acc: 0.289062] 9214: [D loss: 0.698776, acc: 0.544922] [A loss: 0.809957, acc: 0.261719] 9215: [D loss: 0.710395, acc: 0.501953] [A loss: 0.802528, acc: 0.265625] 9216: [D loss: 0.702734, acc: 0.521484] [A loss: 0.760449, acc: 0.394531] 9217: [D loss: 0.705841, acc: 0.513672] [A loss: 0.895387, acc: 0.140625] 9218: [D loss: 0.712824, acc: 0.500000] [A loss: 0.703004, acc: 0.484375] 9219: [D loss: 0.703290, acc: 0.539062] [A loss: 0.969027, acc: 0.113281] 9220: [D loss: 0.698710, acc: 0.529297] [A loss: 0.665065, acc: 0.597656] 9221: [D loss: 0.729618, acc: 0.490234] [A loss: 0.913749, acc: 0.113281] 9222: [D loss: 0.701494, acc: 0.521484] [A loss: 0.692648, acc: 0.523438] 9223: [D loss: 0.721705, acc: 0.537109] [A loss: 0.932917, acc: 0.105469] 9224: [D loss: 0.706344, acc: 0.488281] [A loss: 0.667817, acc: 0.578125] 9225: [D loss: 0.724267, acc: 0.492188] [A loss: 0.964476, acc: 0.097656] 9226: [D loss: 0.703631, acc: 0.500000] [A loss: 0.744413, acc: 0.390625] 9227: [D loss: 0.718699, acc: 0.494141] [A loss: 0.814758, acc: 0.269531] 9228: [D loss: 0.704268, acc: 0.541016] [A loss: 0.787656, acc: 0.328125] 9229: [D loss: 0.701585, acc: 0.496094] [A loss: 0.819929, acc: 0.285156] 9230: [D loss: 0.714351, acc: 0.498047] [A loss: 0.760363, acc: 0.394531] 9231: [D loss: 0.719765, acc: 0.507812] [A loss: 0.829056, acc: 0.277344] 9232: [D loss: 0.705991, acc: 0.521484] [A loss: 0.809138, acc: 0.312500] 9233: [D loss: 0.707761, acc: 0.523438] [A loss: 0.917461, acc: 0.117188] 9234: [D loss: 0.698385, acc: 0.517578] [A loss: 0.706237, acc: 0.484375] 9235: [D loss: 0.705086, acc: 0.513672] [A loss: 0.988830, acc: 0.101562] 9236: [D loss: 0.700728, acc: 0.525391] [A loss: 0.724667, acc: 0.410156] 9237: [D loss: 0.722013, acc: 0.500000] [A loss: 0.862299, acc: 0.183594] 9238: [D loss: 0.697754, acc: 0.519531] [A loss: 0.720640, acc: 0.480469] 9239: [D loss: 0.702162, acc: 0.541016] [A loss: 0.858843, acc: 0.175781] 9240: [D loss: 0.704834, acc: 0.509766] [A loss: 0.706179, acc: 0.496094] 9241: [D loss: 0.702800, acc: 0.542969] [A loss: 0.858308, acc: 0.175781] 9242: [D loss: 0.695114, acc: 0.503906] [A loss: 0.769051, acc: 0.363281] 9243: [D loss: 0.712036, acc: 0.507812] [A loss: 0.879192, acc: 0.187500] 9244: [D loss: 0.698752, acc: 0.525391] [A loss: 0.772197, acc: 0.371094] 9245: [D loss: 0.704466, acc: 0.509766] [A loss: 0.872147, acc: 0.187500] 9246: [D loss: 0.692105, acc: 0.562500] [A loss: 0.740639, acc: 0.390625] 9247: [D loss: 0.696984, acc: 0.546875] [A loss: 0.826717, acc: 0.214844] 9248: [D loss: 0.702109, acc: 0.546875] [A loss: 0.732535, acc: 0.445312] 9249: [D loss: 0.724417, acc: 0.505859] [A loss: 0.889633, acc: 0.191406] 9250: [D loss: 0.718387, acc: 0.478516] [A loss: 0.776325, acc: 0.390625] 9251: [D loss: 0.699590, acc: 0.535156] [A loss: 0.862236, acc: 0.203125] 9252: [D loss: 0.686867, acc: 0.539062] [A loss: 0.753624, acc: 0.359375] 9253: [D loss: 0.720792, acc: 0.476562] [A loss: 0.900681, acc: 0.136719] 9254: [D loss: 0.700639, acc: 0.511719] [A loss: 0.693081, acc: 0.531250] 9255: [D loss: 0.704727, acc: 0.531250] [A loss: 0.894687, acc: 0.187500] 9256: [D loss: 0.699486, acc: 0.541016] [A loss: 0.709445, acc: 0.457031] 9257: [D loss: 0.710792, acc: 0.519531] [A loss: 0.884028, acc: 0.148438] 9258: [D loss: 0.694779, acc: 0.537109] [A loss: 0.743704, acc: 0.429688] 9259: [D loss: 0.700649, acc: 0.537109] [A loss: 0.880320, acc: 0.171875] 9260: [D loss: 0.704057, acc: 0.500000] [A loss: 0.782282, acc: 0.324219] 9261: [D loss: 0.699233, acc: 0.531250] [A loss: 0.929147, acc: 0.101562] 9262: [D loss: 0.704080, acc: 0.498047] [A loss: 0.725886, acc: 0.449219] 9263: [D loss: 0.721034, acc: 0.503906] [A loss: 0.954871, acc: 0.085938] 9264: [D loss: 0.683496, acc: 0.556641] [A loss: 0.729236, acc: 0.445312] 9265: [D loss: 0.704458, acc: 0.521484] [A loss: 1.030513, acc: 0.039062] 9266: [D loss: 0.691423, acc: 0.546875] [A loss: 0.688093, acc: 0.527344] 9267: [D loss: 0.725195, acc: 0.535156] [A loss: 0.965715, acc: 0.093750] 9268: [D loss: 0.706968, acc: 0.517578] [A loss: 0.734021, acc: 0.425781] 9269: [D loss: 0.713667, acc: 0.519531] [A loss: 0.861008, acc: 0.218750] 9270: [D loss: 0.712918, acc: 0.507812] [A loss: 0.742265, acc: 0.441406] 9271: [D loss: 0.715646, acc: 0.492188] [A loss: 0.880922, acc: 0.160156] 9272: [D loss: 0.696130, acc: 0.517578] [A loss: 0.747667, acc: 0.414062] 9273: [D loss: 0.696892, acc: 0.541016] [A loss: 0.884373, acc: 0.179688] 9274: [D loss: 0.715806, acc: 0.476562] [A loss: 0.753969, acc: 0.398438] 9275: [D loss: 0.722183, acc: 0.500000] [A loss: 0.868992, acc: 0.195312] 9276: [D loss: 0.705919, acc: 0.500000] [A loss: 0.775480, acc: 0.371094] 9277: [D loss: 0.713556, acc: 0.503906] [A loss: 0.858171, acc: 0.164062] 9278: [D loss: 0.698256, acc: 0.531250] [A loss: 0.792116, acc: 0.324219] 9279: [D loss: 0.699279, acc: 0.554688] [A loss: 0.866575, acc: 0.175781] 9280: [D loss: 0.701711, acc: 0.517578] [A loss: 0.732850, acc: 0.445312] 9281: [D loss: 0.697555, acc: 0.546875] [A loss: 0.916598, acc: 0.113281] 9282: [D loss: 0.701720, acc: 0.490234] [A loss: 0.720006, acc: 0.453125] 9283: [D loss: 0.706110, acc: 0.513672] [A loss: 0.877302, acc: 0.152344] 9284: [D loss: 0.695615, acc: 0.525391] [A loss: 0.751837, acc: 0.378906] 9285: [D loss: 0.710299, acc: 0.519531] [A loss: 0.848392, acc: 0.226562] 9286: [D loss: 0.715294, acc: 0.476562] [A loss: 0.830392, acc: 0.210938] 9287: [D loss: 0.717231, acc: 0.500000] [A loss: 0.863675, acc: 0.191406] 9288: [D loss: 0.699877, acc: 0.505859] [A loss: 0.720392, acc: 0.421875] 9289: [D loss: 0.706487, acc: 0.521484] [A loss: 0.902399, acc: 0.156250] 9290: [D loss: 0.706513, acc: 0.546875] [A loss: 0.744626, acc: 0.417969] 9291: [D loss: 0.715887, acc: 0.505859] [A loss: 0.949368, acc: 0.132812] 9292: [D loss: 0.727424, acc: 0.482422] [A loss: 0.669022, acc: 0.578125] 9293: [D loss: 0.707533, acc: 0.513672] [A loss: 0.928649, acc: 0.121094] 9294: [D loss: 0.701399, acc: 0.511719] [A loss: 0.770989, acc: 0.347656] 9295: [D loss: 0.711953, acc: 0.490234] [A loss: 0.877975, acc: 0.195312] 9296: [D loss: 0.698520, acc: 0.525391] [A loss: 0.834375, acc: 0.250000] 9297: [D loss: 0.706953, acc: 0.527344] [A loss: 0.776470, acc: 0.371094] 9298: [D loss: 0.717362, acc: 0.509766] [A loss: 0.844188, acc: 0.218750] 9299: [D loss: 0.723623, acc: 0.478516] [A loss: 0.751941, acc: 0.421875] 9300: [D loss: 0.696302, acc: 0.552734] [A loss: 0.895710, acc: 0.160156] 9301: [D loss: 0.694115, acc: 0.542969] [A loss: 0.728706, acc: 0.468750] 9302: [D loss: 0.705407, acc: 0.517578] [A loss: 0.901390, acc: 0.187500] 9303: [D loss: 0.685076, acc: 0.548828] [A loss: 0.746602, acc: 0.378906] 9304: [D loss: 0.708512, acc: 0.542969] [A loss: 0.847048, acc: 0.199219] 9305: [D loss: 0.704993, acc: 0.507812] [A loss: 0.836710, acc: 0.230469] 9306: [D loss: 0.708435, acc: 0.498047] [A loss: 0.857194, acc: 0.179688] 9307: [D loss: 0.691405, acc: 0.537109] [A loss: 0.689000, acc: 0.515625] 9308: [D loss: 0.716169, acc: 0.521484] [A loss: 0.928880, acc: 0.117188] 9309: [D loss: 0.689462, acc: 0.539062] [A loss: 0.719774, acc: 0.441406] 9310: [D loss: 0.714851, acc: 0.494141] [A loss: 0.927940, acc: 0.113281] 9311: [D loss: 0.701221, acc: 0.521484] [A loss: 0.750344, acc: 0.359375] 9312: [D loss: 0.709297, acc: 0.513672] [A loss: 0.854195, acc: 0.210938] 9313: [D loss: 0.685986, acc: 0.566406] [A loss: 0.776904, acc: 0.355469] 9314: [D loss: 0.698393, acc: 0.554688] [A loss: 0.840922, acc: 0.246094] 9315: [D loss: 0.711094, acc: 0.486328] [A loss: 0.785746, acc: 0.300781] 9316: [D loss: 0.712118, acc: 0.509766] [A loss: 0.824957, acc: 0.242188] 9317: [D loss: 0.707874, acc: 0.494141] [A loss: 0.784059, acc: 0.386719] 9318: [D loss: 0.702391, acc: 0.539062] [A loss: 0.894071, acc: 0.152344] 9319: [D loss: 0.705605, acc: 0.509766] [A loss: 0.738218, acc: 0.429688] 9320: [D loss: 0.727599, acc: 0.490234] [A loss: 0.908799, acc: 0.152344] 9321: [D loss: 0.704893, acc: 0.533203] [A loss: 0.745099, acc: 0.402344] 9322: [D loss: 0.710625, acc: 0.519531] [A loss: 0.879911, acc: 0.187500] 9323: [D loss: 0.706382, acc: 0.503906] [A loss: 0.696704, acc: 0.511719] 9324: [D loss: 0.713698, acc: 0.505859] [A loss: 0.900270, acc: 0.148438] 9325: [D loss: 0.698042, acc: 0.521484] [A loss: 0.703540, acc: 0.464844] 9326: [D loss: 0.715026, acc: 0.515625] [A loss: 0.883730, acc: 0.167969] 9327: [D loss: 0.700424, acc: 0.517578] [A loss: 0.726890, acc: 0.460938] 9328: [D loss: 0.708121, acc: 0.537109] [A loss: 0.851235, acc: 0.214844] 9329: [D loss: 0.704778, acc: 0.521484] [A loss: 0.789886, acc: 0.316406] 9330: [D loss: 0.706815, acc: 0.515625] [A loss: 0.826736, acc: 0.265625] 9331: [D loss: 0.718186, acc: 0.492188] [A loss: 0.811589, acc: 0.289062] 9332: [D loss: 0.705963, acc: 0.521484] [A loss: 0.847474, acc: 0.222656] 9333: [D loss: 0.708418, acc: 0.480469] [A loss: 0.781783, acc: 0.324219] 9334: [D loss: 0.704443, acc: 0.535156] [A loss: 0.959187, acc: 0.070312] 9335: [D loss: 0.695242, acc: 0.552734] [A loss: 0.682621, acc: 0.562500] 9336: [D loss: 0.721006, acc: 0.505859] [A loss: 0.961401, acc: 0.117188] 9337: [D loss: 0.716334, acc: 0.505859] [A loss: 0.753235, acc: 0.406250] 9338: [D loss: 0.703967, acc: 0.533203] [A loss: 0.890081, acc: 0.148438] 9339: [D loss: 0.707120, acc: 0.501953] [A loss: 0.785255, acc: 0.347656] 9340: [D loss: 0.718853, acc: 0.488281] [A loss: 0.891058, acc: 0.128906] 9341: [D loss: 0.694289, acc: 0.544922] [A loss: 0.759125, acc: 0.371094] 9342: [D loss: 0.709670, acc: 0.519531] [A loss: 0.971178, acc: 0.078125] 9343: [D loss: 0.701048, acc: 0.513672] [A loss: 0.757750, acc: 0.386719] 9344: [D loss: 0.698119, acc: 0.523438] [A loss: 0.908617, acc: 0.136719] 9345: [D loss: 0.690503, acc: 0.529297] [A loss: 0.712432, acc: 0.500000] 9346: [D loss: 0.715988, acc: 0.500000] [A loss: 0.871699, acc: 0.191406] 9347: [D loss: 0.706190, acc: 0.523438] [A loss: 0.710347, acc: 0.476562] 9348: [D loss: 0.719509, acc: 0.486328] [A loss: 0.899667, acc: 0.152344] 9349: [D loss: 0.702903, acc: 0.509766] [A loss: 0.710294, acc: 0.492188] 9350: [D loss: 0.705394, acc: 0.523438] [A loss: 0.862419, acc: 0.222656] 9351: [D loss: 0.705817, acc: 0.482422] [A loss: 0.758443, acc: 0.371094] 9352: [D loss: 0.698901, acc: 0.525391] [A loss: 0.824200, acc: 0.316406] 9353: [D loss: 0.699920, acc: 0.541016] [A loss: 0.817917, acc: 0.304688] 9354: [D loss: 0.709859, acc: 0.521484] [A loss: 0.833386, acc: 0.250000] 9355: [D loss: 0.700434, acc: 0.525391] [A loss: 0.728732, acc: 0.429688] 9356: [D loss: 0.719895, acc: 0.527344] [A loss: 0.904862, acc: 0.148438] 9357: [D loss: 0.712812, acc: 0.478516] [A loss: 0.723807, acc: 0.464844] 9358: [D loss: 0.705299, acc: 0.509766] [A loss: 0.899342, acc: 0.179688] 9359: [D loss: 0.695039, acc: 0.548828] [A loss: 0.721803, acc: 0.468750] 9360: [D loss: 0.722237, acc: 0.517578] [A loss: 0.916353, acc: 0.128906] 9361: [D loss: 0.698651, acc: 0.548828] [A loss: 0.679632, acc: 0.507812] 9362: [D loss: 0.728342, acc: 0.498047] [A loss: 0.866619, acc: 0.175781] 9363: [D loss: 0.695967, acc: 0.539062] [A loss: 0.733459, acc: 0.414062] 9364: [D loss: 0.714068, acc: 0.519531] [A loss: 0.827706, acc: 0.234375] 9365: [D loss: 0.704645, acc: 0.515625] [A loss: 0.775524, acc: 0.328125] 9366: [D loss: 0.717785, acc: 0.507812] [A loss: 0.868989, acc: 0.195312] 9367: [D loss: 0.692772, acc: 0.535156] [A loss: 0.750968, acc: 0.351562] 9368: [D loss: 0.713969, acc: 0.515625] [A loss: 0.871362, acc: 0.195312] 9369: [D loss: 0.704842, acc: 0.525391] [A loss: 0.697464, acc: 0.515625] 9370: [D loss: 0.714242, acc: 0.509766] [A loss: 0.828955, acc: 0.242188] 9371: [D loss: 0.706823, acc: 0.507812] [A loss: 0.759193, acc: 0.363281] 9372: [D loss: 0.705519, acc: 0.521484] [A loss: 0.838937, acc: 0.222656] 9373: [D loss: 0.699233, acc: 0.492188] [A loss: 0.751016, acc: 0.367188] 9374: [D loss: 0.696204, acc: 0.537109] [A loss: 0.880509, acc: 0.152344] 9375: [D loss: 0.701298, acc: 0.513672] [A loss: 0.768011, acc: 0.347656] 9376: [D loss: 0.706250, acc: 0.509766] [A loss: 0.834645, acc: 0.253906] 9377: [D loss: 0.703814, acc: 0.527344] [A loss: 0.826065, acc: 0.222656] 9378: [D loss: 0.696601, acc: 0.523438] [A loss: 0.817526, acc: 0.226562] 9379: [D loss: 0.713437, acc: 0.500000] [A loss: 0.910841, acc: 0.121094] 9380: [D loss: 0.684663, acc: 0.542969] [A loss: 0.734621, acc: 0.437500] 9381: [D loss: 0.706717, acc: 0.513672] [A loss: 0.993593, acc: 0.062500] 9382: [D loss: 0.704641, acc: 0.494141] [A loss: 0.661975, acc: 0.562500] 9383: [D loss: 0.713483, acc: 0.521484] [A loss: 0.857095, acc: 0.222656] 9384: [D loss: 0.710209, acc: 0.511719] [A loss: 0.710715, acc: 0.468750] 9385: [D loss: 0.716918, acc: 0.515625] [A loss: 0.903667, acc: 0.113281] 9386: [D loss: 0.706913, acc: 0.474609] [A loss: 0.706709, acc: 0.480469] 9387: [D loss: 0.717399, acc: 0.505859] [A loss: 0.952285, acc: 0.097656] 9388: [D loss: 0.712827, acc: 0.490234] [A loss: 0.667902, acc: 0.582031] 9389: [D loss: 0.720234, acc: 0.490234] [A loss: 0.862423, acc: 0.175781] 9390: [D loss: 0.688903, acc: 0.564453] [A loss: 0.711183, acc: 0.511719] 9391: [D loss: 0.708356, acc: 0.503906] [A loss: 0.824611, acc: 0.273438] 9392: [D loss: 0.702749, acc: 0.509766] [A loss: 0.731539, acc: 0.437500] 9393: [D loss: 0.716817, acc: 0.482422] [A loss: 0.864065, acc: 0.195312] 9394: [D loss: 0.705375, acc: 0.527344] [A loss: 0.812945, acc: 0.265625] 9395: [D loss: 0.694581, acc: 0.544922] [A loss: 0.814703, acc: 0.269531] 9396: [D loss: 0.705915, acc: 0.544922] [A loss: 0.791457, acc: 0.308594] 9397: [D loss: 0.705171, acc: 0.509766] [A loss: 0.815313, acc: 0.234375] 9398: [D loss: 0.690801, acc: 0.548828] [A loss: 0.852176, acc: 0.226562] 9399: [D loss: 0.707123, acc: 0.507812] [A loss: 0.801803, acc: 0.300781] 9400: [D loss: 0.712011, acc: 0.503906] [A loss: 0.745576, acc: 0.429688] 9401: [D loss: 0.714018, acc: 0.515625] [A loss: 0.944169, acc: 0.085938] 9402: [D loss: 0.698741, acc: 0.525391] [A loss: 0.691155, acc: 0.554688] 9403: [D loss: 0.725762, acc: 0.496094] [A loss: 0.896629, acc: 0.191406] 9404: [D loss: 0.696143, acc: 0.521484] [A loss: 0.717985, acc: 0.476562] 9405: [D loss: 0.707963, acc: 0.525391] [A loss: 0.836495, acc: 0.207031] 9406: [D loss: 0.701762, acc: 0.521484] [A loss: 0.753547, acc: 0.359375] 9407: [D loss: 0.720456, acc: 0.480469] [A loss: 0.823522, acc: 0.257812] 9408: [D loss: 0.704971, acc: 0.484375] [A loss: 0.787295, acc: 0.300781] 9409: [D loss: 0.708497, acc: 0.505859] [A loss: 0.883325, acc: 0.175781] 9410: [D loss: 0.692742, acc: 0.525391] [A loss: 0.716031, acc: 0.507812] 9411: [D loss: 0.707816, acc: 0.539062] [A loss: 0.893090, acc: 0.109375] 9412: [D loss: 0.707260, acc: 0.511719] [A loss: 0.698878, acc: 0.531250] 9413: [D loss: 0.716049, acc: 0.523438] [A loss: 0.970623, acc: 0.082031] 9414: [D loss: 0.704854, acc: 0.490234] [A loss: 0.713961, acc: 0.503906] 9415: [D loss: 0.719209, acc: 0.501953] [A loss: 1.000191, acc: 0.085938] 9416: [D loss: 0.695680, acc: 0.523438] [A loss: 0.718438, acc: 0.472656] 9417: [D loss: 0.731163, acc: 0.498047] [A loss: 0.870612, acc: 0.183594] 9418: [D loss: 0.697530, acc: 0.546875] [A loss: 0.739136, acc: 0.402344] 9419: [D loss: 0.715194, acc: 0.501953] [A loss: 0.823091, acc: 0.242188] 9420: [D loss: 0.710669, acc: 0.478516] [A loss: 0.779944, acc: 0.335938] 9421: [D loss: 0.712328, acc: 0.513672] [A loss: 0.793219, acc: 0.281250] 9422: [D loss: 0.706405, acc: 0.505859] [A loss: 0.784200, acc: 0.320312] 9423: [D loss: 0.702754, acc: 0.521484] [A loss: 0.792011, acc: 0.332031] 9424: [D loss: 0.705772, acc: 0.501953] [A loss: 0.798122, acc: 0.312500] 9425: [D loss: 0.702037, acc: 0.513672] [A loss: 0.931248, acc: 0.113281] 9426: [D loss: 0.698694, acc: 0.521484] [A loss: 0.711394, acc: 0.496094] 9427: [D loss: 0.723328, acc: 0.517578] [A loss: 0.911108, acc: 0.085938] 9428: [D loss: 0.696218, acc: 0.531250] [A loss: 0.742481, acc: 0.390625] 9429: [D loss: 0.702555, acc: 0.527344] [A loss: 0.799664, acc: 0.300781] 9430: [D loss: 0.698234, acc: 0.519531] [A loss: 0.771011, acc: 0.320312] 9431: [D loss: 0.718528, acc: 0.484375] [A loss: 0.833859, acc: 0.246094] 9432: [D loss: 0.709248, acc: 0.521484] [A loss: 0.736374, acc: 0.414062] 9433: [D loss: 0.716584, acc: 0.490234] [A loss: 0.861754, acc: 0.152344] 9434: [D loss: 0.705797, acc: 0.503906] [A loss: 0.744655, acc: 0.402344] 9435: [D loss: 0.706978, acc: 0.509766] [A loss: 0.892219, acc: 0.175781] 9436: [D loss: 0.701164, acc: 0.525391] [A loss: 0.685301, acc: 0.550781] 9437: [D loss: 0.714120, acc: 0.507812] [A loss: 0.862058, acc: 0.183594] 9438: [D loss: 0.703421, acc: 0.513672] [A loss: 0.699407, acc: 0.488281] 9439: [D loss: 0.710764, acc: 0.492188] [A loss: 0.902154, acc: 0.121094] 9440: [D loss: 0.707776, acc: 0.488281] [A loss: 0.741176, acc: 0.429688] 9441: [D loss: 0.706024, acc: 0.539062] [A loss: 0.834155, acc: 0.238281] 9442: [D loss: 0.683163, acc: 0.564453] [A loss: 0.731345, acc: 0.417969] 9443: [D loss: 0.716155, acc: 0.507812] [A loss: 0.814766, acc: 0.281250] 9444: [D loss: 0.697266, acc: 0.529297] [A loss: 0.809844, acc: 0.253906] 9445: [D loss: 0.700849, acc: 0.507812] [A loss: 0.792134, acc: 0.277344] 9446: [D loss: 0.700854, acc: 0.533203] [A loss: 0.840541, acc: 0.187500] 9447: [D loss: 0.693038, acc: 0.533203] [A loss: 0.765048, acc: 0.363281] 9448: [D loss: 0.700905, acc: 0.537109] [A loss: 0.888452, acc: 0.156250] 9449: [D loss: 0.702275, acc: 0.513672] [A loss: 0.679565, acc: 0.593750] 9450: [D loss: 0.709940, acc: 0.544922] [A loss: 0.967398, acc: 0.093750] 9451: [D loss: 0.703229, acc: 0.515625] [A loss: 0.687217, acc: 0.527344] 9452: [D loss: 0.737077, acc: 0.498047] [A loss: 0.975446, acc: 0.082031] 9453: [D loss: 0.709467, acc: 0.498047] [A loss: 0.699607, acc: 0.515625] 9454: [D loss: 0.705273, acc: 0.509766] [A loss: 0.840730, acc: 0.226562] 9455: [D loss: 0.716260, acc: 0.474609] [A loss: 0.761042, acc: 0.312500] 9456: [D loss: 0.712389, acc: 0.517578] [A loss: 0.810145, acc: 0.246094] 9457: [D loss: 0.713911, acc: 0.480469] [A loss: 0.770040, acc: 0.371094] 9458: [D loss: 0.713808, acc: 0.494141] [A loss: 0.870187, acc: 0.191406] 9459: [D loss: 0.690879, acc: 0.531250] [A loss: 0.808233, acc: 0.285156] 9460: [D loss: 0.691303, acc: 0.531250] [A loss: 0.763774, acc: 0.347656] 9461: [D loss: 0.708615, acc: 0.533203] [A loss: 0.895201, acc: 0.171875] 9462: [D loss: 0.691776, acc: 0.542969] [A loss: 0.748330, acc: 0.425781] 9463: [D loss: 0.707782, acc: 0.535156] [A loss: 0.900267, acc: 0.132812] 9464: [D loss: 0.688152, acc: 0.550781] [A loss: 0.744526, acc: 0.421875] 9465: [D loss: 0.719435, acc: 0.486328] [A loss: 0.855245, acc: 0.207031] 9466: [D loss: 0.685628, acc: 0.562500] [A loss: 0.803140, acc: 0.328125] 9467: [D loss: 0.706436, acc: 0.537109] [A loss: 0.808478, acc: 0.273438] 9468: [D loss: 0.688349, acc: 0.539062] [A loss: 0.749723, acc: 0.355469] 9469: [D loss: 0.687905, acc: 0.550781] [A loss: 0.790399, acc: 0.312500] 9470: [D loss: 0.705555, acc: 0.511719] [A loss: 0.843332, acc: 0.226562] 9471: [D loss: 0.700736, acc: 0.523438] [A loss: 0.815108, acc: 0.246094] 9472: [D loss: 0.696836, acc: 0.529297] [A loss: 0.833386, acc: 0.203125] 9473: [D loss: 0.706372, acc: 0.494141] [A loss: 0.791684, acc: 0.296875] 9474: [D loss: 0.706783, acc: 0.505859] [A loss: 0.865974, acc: 0.191406] 9475: [D loss: 0.703287, acc: 0.509766] [A loss: 0.764196, acc: 0.394531] 9476: [D loss: 0.728134, acc: 0.486328] [A loss: 1.023864, acc: 0.046875] 9477: [D loss: 0.714632, acc: 0.513672] [A loss: 0.681435, acc: 0.566406] 9478: [D loss: 0.728087, acc: 0.515625] [A loss: 0.933499, acc: 0.121094] 9479: [D loss: 0.704221, acc: 0.511719] [A loss: 0.744700, acc: 0.414062] 9480: [D loss: 0.715005, acc: 0.523438] [A loss: 0.844462, acc: 0.253906] 9481: [D loss: 0.706966, acc: 0.505859] [A loss: 0.820297, acc: 0.289062] 9482: [D loss: 0.712824, acc: 0.476562] [A loss: 0.839193, acc: 0.269531] 9483: [D loss: 0.690751, acc: 0.531250] [A loss: 0.843263, acc: 0.253906] 9484: [D loss: 0.706354, acc: 0.505859] [A loss: 0.807162, acc: 0.253906] 9485: [D loss: 0.709323, acc: 0.498047] [A loss: 0.779209, acc: 0.328125] 9486: [D loss: 0.695167, acc: 0.515625] [A loss: 0.805842, acc: 0.304688] 9487: [D loss: 0.714413, acc: 0.484375] [A loss: 0.815793, acc: 0.226562] 9488: [D loss: 0.712850, acc: 0.494141] [A loss: 0.844507, acc: 0.195312] 9489: [D loss: 0.689555, acc: 0.554688] [A loss: 0.862259, acc: 0.226562] 9490: [D loss: 0.698495, acc: 0.542969] [A loss: 0.837817, acc: 0.226562] 9491: [D loss: 0.706337, acc: 0.521484] [A loss: 0.836635, acc: 0.246094] 9492: [D loss: 0.696013, acc: 0.535156] [A loss: 0.825557, acc: 0.222656] 9493: [D loss: 0.698248, acc: 0.552734] [A loss: 0.874495, acc: 0.144531] 9494: [D loss: 0.689615, acc: 0.537109] [A loss: 0.690188, acc: 0.531250] 9495: [D loss: 0.713920, acc: 0.509766] [A loss: 0.971366, acc: 0.058594] 9496: [D loss: 0.712557, acc: 0.531250] [A loss: 0.676844, acc: 0.539062] 9497: [D loss: 0.723094, acc: 0.511719] [A loss: 0.962877, acc: 0.058594] 9498: [D loss: 0.703214, acc: 0.501953] [A loss: 0.702990, acc: 0.523438] 9499: [D loss: 0.732600, acc: 0.480469] [A loss: 0.955748, acc: 0.101562] 9500: [D loss: 0.693738, acc: 0.509766] [A loss: 0.702423, acc: 0.484375] 9501: [D loss: 0.710867, acc: 0.503906] [A loss: 0.904010, acc: 0.148438] 9502: [D loss: 0.698285, acc: 0.513672] [A loss: 0.757760, acc: 0.382812] 9503: [D loss: 0.707627, acc: 0.488281] [A loss: 0.764207, acc: 0.335938] 9504: [D loss: 0.696446, acc: 0.527344] [A loss: 0.757585, acc: 0.378906] 9505: [D loss: 0.708819, acc: 0.517578] [A loss: 0.861951, acc: 0.164062] 9506: [D loss: 0.715562, acc: 0.486328] [A loss: 0.745037, acc: 0.394531] 9507: [D loss: 0.706308, acc: 0.523438] [A loss: 0.910937, acc: 0.175781] 9508: [D loss: 0.698320, acc: 0.521484] [A loss: 0.717337, acc: 0.468750] 9509: [D loss: 0.711678, acc: 0.525391] [A loss: 0.864254, acc: 0.175781] 9510: [D loss: 0.704673, acc: 0.511719] [A loss: 0.687680, acc: 0.535156] 9511: [D loss: 0.724568, acc: 0.509766] [A loss: 0.943467, acc: 0.082031] 9512: [D loss: 0.698364, acc: 0.519531] [A loss: 0.682151, acc: 0.523438] 9513: [D loss: 0.710810, acc: 0.513672] [A loss: 0.855863, acc: 0.199219] 9514: [D loss: 0.704707, acc: 0.505859] [A loss: 0.749433, acc: 0.421875] 9515: [D loss: 0.707690, acc: 0.490234] [A loss: 0.911998, acc: 0.156250] 9516: [D loss: 0.693370, acc: 0.529297] [A loss: 0.759012, acc: 0.335938] 9517: [D loss: 0.712010, acc: 0.505859] [A loss: 0.836520, acc: 0.207031] 9518: [D loss: 0.689127, acc: 0.533203] [A loss: 0.697088, acc: 0.492188] 9519: [D loss: 0.712850, acc: 0.500000] [A loss: 0.828021, acc: 0.242188] 9520: [D loss: 0.696495, acc: 0.519531] [A loss: 0.768883, acc: 0.351562] 9521: [D loss: 0.712983, acc: 0.519531] [A loss: 0.779527, acc: 0.347656] 9522: [D loss: 0.705296, acc: 0.517578] [A loss: 0.785381, acc: 0.328125] 9523: [D loss: 0.694879, acc: 0.546875] [A loss: 0.770696, acc: 0.328125] 9524: [D loss: 0.711570, acc: 0.492188] [A loss: 0.807767, acc: 0.273438] 9525: [D loss: 0.691191, acc: 0.535156] [A loss: 0.847748, acc: 0.171875] 9526: [D loss: 0.704879, acc: 0.521484] [A loss: 0.798525, acc: 0.312500] 9527: [D loss: 0.701269, acc: 0.511719] [A loss: 0.833138, acc: 0.226562] 9528: [D loss: 0.703447, acc: 0.480469] [A loss: 0.806737, acc: 0.308594] 9529: [D loss: 0.698970, acc: 0.517578] [A loss: 0.766623, acc: 0.355469] 9530: [D loss: 0.704272, acc: 0.527344] [A loss: 0.785100, acc: 0.296875] 9531: [D loss: 0.706021, acc: 0.517578] [A loss: 0.927485, acc: 0.128906] 9532: [D loss: 0.698485, acc: 0.511719] [A loss: 0.745255, acc: 0.371094] 9533: [D loss: 0.714758, acc: 0.537109] [A loss: 0.939965, acc: 0.117188] 9534: [D loss: 0.698048, acc: 0.523438] [A loss: 0.713699, acc: 0.453125] 9535: [D loss: 0.715014, acc: 0.482422] [A loss: 0.933365, acc: 0.136719] 9536: [D loss: 0.700884, acc: 0.527344] [A loss: 0.755327, acc: 0.375000] 9537: [D loss: 0.705117, acc: 0.523438] [A loss: 0.858750, acc: 0.199219] 9538: [D loss: 0.694958, acc: 0.519531] [A loss: 0.727967, acc: 0.414062] 9539: [D loss: 0.706194, acc: 0.529297] [A loss: 0.902689, acc: 0.109375] 9540: [D loss: 0.704124, acc: 0.517578] [A loss: 0.725535, acc: 0.437500] 9541: [D loss: 0.731167, acc: 0.492188] [A loss: 0.906940, acc: 0.097656] 9542: [D loss: 0.691247, acc: 0.541016] [A loss: 0.739755, acc: 0.429688] 9543: [D loss: 0.696048, acc: 0.515625] [A loss: 0.980548, acc: 0.085938] 9544: [D loss: 0.693168, acc: 0.537109] [A loss: 0.709318, acc: 0.496094] 9545: [D loss: 0.714642, acc: 0.500000] [A loss: 0.925722, acc: 0.152344] 9546: [D loss: 0.688164, acc: 0.558594] [A loss: 0.715519, acc: 0.496094] 9547: [D loss: 0.728808, acc: 0.505859] [A loss: 0.976741, acc: 0.121094] 9548: [D loss: 0.703518, acc: 0.501953] [A loss: 0.705567, acc: 0.500000] 9549: [D loss: 0.719689, acc: 0.509766] [A loss: 0.881252, acc: 0.152344] 9550: [D loss: 0.685591, acc: 0.570312] [A loss: 0.772465, acc: 0.351562] 9551: [D loss: 0.710267, acc: 0.519531] [A loss: 0.842814, acc: 0.230469] 9552: [D loss: 0.692526, acc: 0.525391] [A loss: 0.804042, acc: 0.339844] 9553: [D loss: 0.701941, acc: 0.531250] [A loss: 0.875292, acc: 0.246094] 9554: [D loss: 0.707964, acc: 0.498047] [A loss: 0.813609, acc: 0.269531] 9555: [D loss: 0.709360, acc: 0.496094] [A loss: 0.857097, acc: 0.187500] 9556: [D loss: 0.721118, acc: 0.457031] [A loss: 0.777909, acc: 0.347656] 9557: [D loss: 0.706413, acc: 0.509766] [A loss: 0.819799, acc: 0.261719] 9558: [D loss: 0.695421, acc: 0.533203] [A loss: 0.790997, acc: 0.316406] 9559: [D loss: 0.691236, acc: 0.544922] [A loss: 0.831294, acc: 0.207031] 9560: [D loss: 0.703462, acc: 0.517578] [A loss: 0.860209, acc: 0.199219] 9561: [D loss: 0.699232, acc: 0.541016] [A loss: 0.873825, acc: 0.156250] 9562: [D loss: 0.702774, acc: 0.513672] [A loss: 0.758174, acc: 0.394531] 9563: [D loss: 0.708748, acc: 0.513672] [A loss: 0.934829, acc: 0.105469] 9564: [D loss: 0.709507, acc: 0.484375] [A loss: 0.715620, acc: 0.453125] 9565: [D loss: 0.713356, acc: 0.515625] [A loss: 0.962643, acc: 0.093750] 9566: [D loss: 0.701507, acc: 0.505859] [A loss: 0.667214, acc: 0.605469] 9567: [D loss: 0.725675, acc: 0.498047] [A loss: 0.920339, acc: 0.136719] 9568: [D loss: 0.690811, acc: 0.521484] [A loss: 0.690925, acc: 0.562500] 9569: [D loss: 0.710819, acc: 0.533203] [A loss: 0.862152, acc: 0.195312] 9570: [D loss: 0.694313, acc: 0.537109] [A loss: 0.788619, acc: 0.308594] 9571: [D loss: 0.707680, acc: 0.531250] [A loss: 0.887567, acc: 0.148438] 9572: [D loss: 0.707354, acc: 0.498047] [A loss: 0.759092, acc: 0.363281] 9573: [D loss: 0.707864, acc: 0.505859] [A loss: 0.901026, acc: 0.148438] 9574: [D loss: 0.695799, acc: 0.525391] [A loss: 0.723905, acc: 0.421875] 9575: [D loss: 0.717156, acc: 0.498047] [A loss: 0.886757, acc: 0.144531] 9576: [D loss: 0.712596, acc: 0.478516] [A loss: 0.779074, acc: 0.378906] 9577: [D loss: 0.707012, acc: 0.494141] [A loss: 0.839290, acc: 0.230469] 9578: [D loss: 0.709444, acc: 0.513672] [A loss: 0.768498, acc: 0.347656] 9579: [D loss: 0.687588, acc: 0.562500] [A loss: 0.833019, acc: 0.250000] 9580: [D loss: 0.707233, acc: 0.500000] [A loss: 0.779965, acc: 0.312500] 9581: [D loss: 0.702337, acc: 0.509766] [A loss: 0.808602, acc: 0.265625] 9582: [D loss: 0.699544, acc: 0.503906] [A loss: 0.852652, acc: 0.230469] 9583: [D loss: 0.705734, acc: 0.501953] [A loss: 0.825298, acc: 0.261719] 9584: [D loss: 0.700268, acc: 0.539062] [A loss: 0.845375, acc: 0.234375] 9585: [D loss: 0.687860, acc: 0.548828] [A loss: 0.777064, acc: 0.332031] 9586: [D loss: 0.697737, acc: 0.515625] [A loss: 0.904862, acc: 0.132812] 9587: [D loss: 0.703237, acc: 0.498047] [A loss: 0.707703, acc: 0.488281] 9588: [D loss: 0.715628, acc: 0.523438] [A loss: 0.988664, acc: 0.089844] 9589: [D loss: 0.703853, acc: 0.523438] [A loss: 0.622561, acc: 0.710938] 9590: [D loss: 0.706425, acc: 0.544922] [A loss: 0.941319, acc: 0.105469] 9591: [D loss: 0.699177, acc: 0.503906] [A loss: 0.717355, acc: 0.457031] 9592: [D loss: 0.713311, acc: 0.525391] [A loss: 0.809806, acc: 0.277344] 9593: [D loss: 0.719110, acc: 0.480469] [A loss: 0.809571, acc: 0.285156] 9594: [D loss: 0.712301, acc: 0.511719] [A loss: 0.847081, acc: 0.191406] 9595: [D loss: 0.716317, acc: 0.492188] [A loss: 0.838649, acc: 0.238281] 9596: [D loss: 0.703515, acc: 0.542969] [A loss: 0.829070, acc: 0.281250] 9597: [D loss: 0.706332, acc: 0.513672] [A loss: 0.872762, acc: 0.210938] 9598: [D loss: 0.705150, acc: 0.529297] [A loss: 0.763971, acc: 0.394531] 9599: [D loss: 0.709916, acc: 0.505859] [A loss: 0.813273, acc: 0.253906] 9600: [D loss: 0.709053, acc: 0.529297] [A loss: 0.837523, acc: 0.246094] 9601: [D loss: 0.697354, acc: 0.517578] [A loss: 0.887182, acc: 0.171875] 9602: [D loss: 0.691225, acc: 0.521484] [A loss: 0.830409, acc: 0.257812] 9603: [D loss: 0.705236, acc: 0.523438] [A loss: 0.817079, acc: 0.253906] 9604: [D loss: 0.707359, acc: 0.490234] [A loss: 0.884830, acc: 0.203125] 9605: [D loss: 0.694276, acc: 0.515625] [A loss: 0.796034, acc: 0.289062] 9606: [D loss: 0.716483, acc: 0.496094] [A loss: 0.904981, acc: 0.140625] 9607: [D loss: 0.694198, acc: 0.533203] [A loss: 0.694667, acc: 0.531250] 9608: [D loss: 0.717721, acc: 0.519531] [A loss: 0.980824, acc: 0.066406] 9609: [D loss: 0.717425, acc: 0.492188] [A loss: 0.695636, acc: 0.480469] 9610: [D loss: 0.709367, acc: 0.503906] [A loss: 0.871570, acc: 0.195312] 9611: [D loss: 0.698134, acc: 0.488281] [A loss: 0.736120, acc: 0.472656] 9612: [D loss: 0.717978, acc: 0.484375] [A loss: 0.873142, acc: 0.199219] 9613: [D loss: 0.718976, acc: 0.449219] [A loss: 0.741994, acc: 0.417969] 9614: [D loss: 0.732730, acc: 0.494141] [A loss: 0.911397, acc: 0.132812] 9615: [D loss: 0.692934, acc: 0.515625] [A loss: 0.705270, acc: 0.488281] 9616: [D loss: 0.709570, acc: 0.519531] [A loss: 0.857639, acc: 0.199219] 9617: [D loss: 0.690489, acc: 0.544922] [A loss: 0.740268, acc: 0.414062] 9618: [D loss: 0.710971, acc: 0.519531] [A loss: 0.888526, acc: 0.152344] 9619: [D loss: 0.692810, acc: 0.535156] [A loss: 0.796024, acc: 0.375000] 9620: [D loss: 0.704349, acc: 0.533203] [A loss: 0.907751, acc: 0.152344] 9621: [D loss: 0.697062, acc: 0.537109] [A loss: 0.684074, acc: 0.507812] 9622: [D loss: 0.704339, acc: 0.550781] [A loss: 0.841350, acc: 0.242188] 9623: [D loss: 0.697707, acc: 0.535156] [A loss: 0.761969, acc: 0.355469] 9624: [D loss: 0.701769, acc: 0.523438] [A loss: 0.952528, acc: 0.125000] 9625: [D loss: 0.690512, acc: 0.552734] [A loss: 0.775155, acc: 0.347656] 9626: [D loss: 0.708591, acc: 0.503906] [A loss: 0.917796, acc: 0.144531] 9627: [D loss: 0.708451, acc: 0.507812] [A loss: 0.698706, acc: 0.531250] 9628: [D loss: 0.720759, acc: 0.523438] [A loss: 0.953402, acc: 0.078125] 9629: [D loss: 0.689482, acc: 0.519531] [A loss: 0.708820, acc: 0.511719] 9630: [D loss: 0.719938, acc: 0.525391] [A loss: 0.899709, acc: 0.156250] 9631: [D loss: 0.686308, acc: 0.544922] [A loss: 0.730877, acc: 0.398438] 9632: [D loss: 0.710696, acc: 0.515625] [A loss: 0.918453, acc: 0.109375] 9633: [D loss: 0.705398, acc: 0.488281] [A loss: 0.692463, acc: 0.515625] 9634: [D loss: 0.707995, acc: 0.513672] [A loss: 0.848766, acc: 0.218750] 9635: [D loss: 0.699551, acc: 0.511719] [A loss: 0.738036, acc: 0.464844] 9636: [D loss: 0.723055, acc: 0.486328] [A loss: 0.888128, acc: 0.144531] 9637: [D loss: 0.705416, acc: 0.507812] [A loss: 0.794542, acc: 0.289062] 9638: [D loss: 0.712721, acc: 0.490234] [A loss: 0.807796, acc: 0.289062] 9639: [D loss: 0.710574, acc: 0.464844] [A loss: 0.793431, acc: 0.285156] 9640: [D loss: 0.697035, acc: 0.515625] [A loss: 0.804610, acc: 0.312500] 9641: [D loss: 0.711263, acc: 0.498047] [A loss: 0.854881, acc: 0.210938] 9642: [D loss: 0.703011, acc: 0.535156] [A loss: 0.764673, acc: 0.382812] 9643: [D loss: 0.703265, acc: 0.513672] [A loss: 0.877566, acc: 0.167969] 9644: [D loss: 0.700578, acc: 0.529297] [A loss: 0.824412, acc: 0.261719] 9645: [D loss: 0.698730, acc: 0.535156] [A loss: 0.836089, acc: 0.222656] 9646: [D loss: 0.706738, acc: 0.496094] [A loss: 0.858223, acc: 0.187500] 9647: [D loss: 0.703178, acc: 0.521484] [A loss: 0.757817, acc: 0.425781] 9648: [D loss: 0.710373, acc: 0.494141] [A loss: 0.919242, acc: 0.156250] 9649: [D loss: 0.709618, acc: 0.484375] [A loss: 0.719185, acc: 0.480469] 9650: [D loss: 0.724841, acc: 0.482422] [A loss: 0.961744, acc: 0.074219] 9651: [D loss: 0.719483, acc: 0.484375] [A loss: 0.686345, acc: 0.582031] 9652: [D loss: 0.721998, acc: 0.490234] [A loss: 0.945729, acc: 0.097656] 9653: [D loss: 0.695003, acc: 0.539062] [A loss: 0.701246, acc: 0.488281] 9654: [D loss: 0.720129, acc: 0.490234] [A loss: 0.863929, acc: 0.183594] 9655: [D loss: 0.688637, acc: 0.548828] [A loss: 0.745633, acc: 0.382812] 9656: [D loss: 0.704125, acc: 0.527344] [A loss: 0.843148, acc: 0.246094] 9657: [D loss: 0.708726, acc: 0.507812] [A loss: 0.760862, acc: 0.367188] 9658: [D loss: 0.700847, acc: 0.533203] [A loss: 0.833745, acc: 0.269531] 9659: [D loss: 0.693510, acc: 0.521484] [A loss: 0.738005, acc: 0.417969] 9660: [D loss: 0.710487, acc: 0.519531] [A loss: 0.904411, acc: 0.148438] 9661: [D loss: 0.703059, acc: 0.490234] [A loss: 0.737527, acc: 0.468750] 9662: [D loss: 0.725176, acc: 0.501953] [A loss: 0.965049, acc: 0.085938] 9663: [D loss: 0.708507, acc: 0.515625] [A loss: 0.666299, acc: 0.585938] 9664: [D loss: 0.725585, acc: 0.498047] [A loss: 0.969082, acc: 0.058594] 9665: [D loss: 0.700093, acc: 0.517578] [A loss: 0.714010, acc: 0.476562] 9666: [D loss: 0.705365, acc: 0.527344] [A loss: 0.819962, acc: 0.242188] 9667: [D loss: 0.701505, acc: 0.503906] [A loss: 0.802842, acc: 0.250000] 9668: [D loss: 0.709724, acc: 0.498047] [A loss: 0.766440, acc: 0.390625] 9669: [D loss: 0.696059, acc: 0.544922] [A loss: 0.830077, acc: 0.226562] 9670: [D loss: 0.700239, acc: 0.539062] [A loss: 0.753235, acc: 0.378906] 9671: [D loss: 0.714315, acc: 0.511719] [A loss: 0.799382, acc: 0.265625] 9672: [D loss: 0.711048, acc: 0.490234] [A loss: 0.788764, acc: 0.332031] 9673: [D loss: 0.692442, acc: 0.542969] [A loss: 0.807485, acc: 0.289062] 9674: [D loss: 0.721431, acc: 0.507812] [A loss: 0.837707, acc: 0.191406] 9675: [D loss: 0.698893, acc: 0.531250] [A loss: 0.764651, acc: 0.386719] 9676: [D loss: 0.689138, acc: 0.554688] [A loss: 0.793093, acc: 0.300781] 9677: [D loss: 0.695634, acc: 0.525391] [A loss: 0.821577, acc: 0.253906] 9678: [D loss: 0.710711, acc: 0.503906] [A loss: 0.825957, acc: 0.269531] 9679: [D loss: 0.705572, acc: 0.500000] [A loss: 0.845552, acc: 0.226562] 9680: [D loss: 0.691371, acc: 0.550781] [A loss: 0.737720, acc: 0.414062] 9681: [D loss: 0.721038, acc: 0.517578] [A loss: 0.973610, acc: 0.117188] 9682: [D loss: 0.693959, acc: 0.535156] [A loss: 0.731014, acc: 0.460938] 9683: [D loss: 0.716294, acc: 0.500000] [A loss: 0.864682, acc: 0.203125] 9684: [D loss: 0.709994, acc: 0.496094] [A loss: 0.746994, acc: 0.398438] 9685: [D loss: 0.704288, acc: 0.509766] [A loss: 0.875518, acc: 0.175781] 9686: [D loss: 0.694200, acc: 0.519531] [A loss: 0.729608, acc: 0.421875] 9687: [D loss: 0.699109, acc: 0.531250] [A loss: 0.865295, acc: 0.207031] 9688: [D loss: 0.698948, acc: 0.527344] [A loss: 0.729717, acc: 0.457031] 9689: [D loss: 0.695001, acc: 0.527344] [A loss: 0.944412, acc: 0.101562] 9690: [D loss: 0.706476, acc: 0.478516] [A loss: 0.716995, acc: 0.464844] 9691: [D loss: 0.716495, acc: 0.494141] [A loss: 0.877433, acc: 0.160156] 9692: [D loss: 0.697491, acc: 0.513672] [A loss: 0.707911, acc: 0.476562] 9693: [D loss: 0.730545, acc: 0.509766] [A loss: 0.940976, acc: 0.109375] 9694: [D loss: 0.692265, acc: 0.527344] [A loss: 0.671967, acc: 0.562500] 9695: [D loss: 0.716177, acc: 0.496094] [A loss: 0.904742, acc: 0.117188] 9696: [D loss: 0.708909, acc: 0.500000] [A loss: 0.746314, acc: 0.386719] 9697: [D loss: 0.720457, acc: 0.480469] [A loss: 0.917836, acc: 0.156250] 9698: [D loss: 0.697766, acc: 0.513672] [A loss: 0.721083, acc: 0.480469] 9699: [D loss: 0.713821, acc: 0.511719] [A loss: 0.973986, acc: 0.093750] 9700: [D loss: 0.714184, acc: 0.501953] [A loss: 0.705593, acc: 0.531250] 9701: [D loss: 0.708361, acc: 0.501953] [A loss: 0.878457, acc: 0.191406] 9702: [D loss: 0.693108, acc: 0.537109] [A loss: 0.721999, acc: 0.472656] 9703: [D loss: 0.696062, acc: 0.529297] [A loss: 0.786882, acc: 0.347656] 9704: [D loss: 0.703728, acc: 0.513672] [A loss: 0.818993, acc: 0.277344] 9705: [D loss: 0.698369, acc: 0.525391] [A loss: 0.830229, acc: 0.265625] 9706: [D loss: 0.704095, acc: 0.517578] [A loss: 0.774389, acc: 0.359375] 9707: [D loss: 0.708148, acc: 0.498047] [A loss: 0.857174, acc: 0.199219] 9708: [D loss: 0.702088, acc: 0.521484] [A loss: 0.750838, acc: 0.437500] 9709: [D loss: 0.698283, acc: 0.548828] [A loss: 0.846643, acc: 0.242188] 9710: [D loss: 0.707912, acc: 0.513672] [A loss: 0.806093, acc: 0.289062] 9711: [D loss: 0.699433, acc: 0.525391] [A loss: 0.832800, acc: 0.250000] 9712: [D loss: 0.696805, acc: 0.519531] [A loss: 0.793037, acc: 0.300781] 9713: [D loss: 0.712847, acc: 0.507812] [A loss: 0.867325, acc: 0.187500] 9714: [D loss: 0.696437, acc: 0.535156] [A loss: 0.758649, acc: 0.363281] 9715: [D loss: 0.709056, acc: 0.517578] [A loss: 0.926976, acc: 0.121094] 9716: [D loss: 0.697263, acc: 0.523438] [A loss: 0.687254, acc: 0.539062] 9717: [D loss: 0.708598, acc: 0.521484] [A loss: 0.956638, acc: 0.105469] 9718: [D loss: 0.705703, acc: 0.486328] [A loss: 0.721007, acc: 0.484375] 9719: [D loss: 0.713814, acc: 0.505859] [A loss: 0.864443, acc: 0.152344] 9720: [D loss: 0.713257, acc: 0.478516] [A loss: 0.708264, acc: 0.496094] 9721: [D loss: 0.713047, acc: 0.515625] [A loss: 0.895440, acc: 0.164062] 9722: [D loss: 0.694022, acc: 0.542969] [A loss: 0.737646, acc: 0.429688] 9723: [D loss: 0.716879, acc: 0.501953] [A loss: 0.859164, acc: 0.187500] 9724: [D loss: 0.705898, acc: 0.519531] [A loss: 0.785161, acc: 0.285156] 9725: [D loss: 0.709220, acc: 0.511719] [A loss: 0.848279, acc: 0.210938] 9726: [D loss: 0.706912, acc: 0.513672] [A loss: 0.768890, acc: 0.363281] 9727: [D loss: 0.706904, acc: 0.519531] [A loss: 0.873333, acc: 0.179688] 9728: [D loss: 0.700863, acc: 0.517578] [A loss: 0.746011, acc: 0.417969] 9729: [D loss: 0.713302, acc: 0.505859] [A loss: 0.878977, acc: 0.187500] 9730: [D loss: 0.693179, acc: 0.515625] [A loss: 0.756793, acc: 0.367188] 9731: [D loss: 0.711249, acc: 0.498047] [A loss: 0.931673, acc: 0.121094] 9732: [D loss: 0.708774, acc: 0.503906] [A loss: 0.721213, acc: 0.433594] 9733: [D loss: 0.717870, acc: 0.509766] [A loss: 0.895064, acc: 0.164062] 9734: [D loss: 0.705452, acc: 0.519531] [A loss: 0.689998, acc: 0.511719] 9735: [D loss: 0.699084, acc: 0.556641] [A loss: 0.891846, acc: 0.210938] 9736: [D loss: 0.695873, acc: 0.521484] [A loss: 0.753902, acc: 0.371094] 9737: [D loss: 0.724871, acc: 0.500000] [A loss: 0.812189, acc: 0.253906] 9738: [D loss: 0.703365, acc: 0.542969] [A loss: 0.777874, acc: 0.371094] 9739: [D loss: 0.707626, acc: 0.509766] [A loss: 0.970228, acc: 0.125000] 9740: [D loss: 0.701254, acc: 0.500000] [A loss: 0.668909, acc: 0.589844] 9741: [D loss: 0.714803, acc: 0.521484] [A loss: 0.963657, acc: 0.093750] 9742: [D loss: 0.717675, acc: 0.468750] [A loss: 0.711021, acc: 0.488281] 9743: [D loss: 0.705899, acc: 0.509766] [A loss: 0.834407, acc: 0.257812] 9744: [D loss: 0.709401, acc: 0.494141] [A loss: 0.786043, acc: 0.339844] 9745: [D loss: 0.703574, acc: 0.515625] [A loss: 0.809178, acc: 0.289062] 9746: [D loss: 0.701277, acc: 0.525391] [A loss: 0.800091, acc: 0.281250] 9747: [D loss: 0.710437, acc: 0.492188] [A loss: 0.880231, acc: 0.167969] 9748: [D loss: 0.683095, acc: 0.552734] [A loss: 0.710454, acc: 0.488281] 9749: [D loss: 0.732634, acc: 0.507812] [A loss: 1.005952, acc: 0.074219] 9750: [D loss: 0.702441, acc: 0.507812] [A loss: 0.703885, acc: 0.511719] 9751: [D loss: 0.712993, acc: 0.513672] [A loss: 0.861991, acc: 0.179688] 9752: [D loss: 0.705709, acc: 0.550781] [A loss: 0.757372, acc: 0.375000] 9753: [D loss: 0.701019, acc: 0.529297] [A loss: 0.784780, acc: 0.332031] 9754: [D loss: 0.712899, acc: 0.511719] [A loss: 0.792326, acc: 0.304688] 9755: [D loss: 0.701814, acc: 0.513672] [A loss: 0.766621, acc: 0.335938] 9756: [D loss: 0.706427, acc: 0.527344] [A loss: 0.856336, acc: 0.167969] 9757: [D loss: 0.689310, acc: 0.550781] [A loss: 0.731096, acc: 0.453125] 9758: [D loss: 0.723751, acc: 0.503906] [A loss: 0.925941, acc: 0.117188] 9759: [D loss: 0.709692, acc: 0.492188] [A loss: 0.701533, acc: 0.507812] 9760: [D loss: 0.713863, acc: 0.521484] [A loss: 0.852774, acc: 0.218750] 9761: [D loss: 0.686389, acc: 0.546875] [A loss: 0.708764, acc: 0.507812] 9762: [D loss: 0.710645, acc: 0.505859] [A loss: 0.850484, acc: 0.214844] 9763: [D loss: 0.702892, acc: 0.519531] [A loss: 0.769247, acc: 0.367188] 9764: [D loss: 0.712672, acc: 0.537109] [A loss: 0.951579, acc: 0.089844] 9765: [D loss: 0.710113, acc: 0.476562] [A loss: 0.713147, acc: 0.496094] 9766: [D loss: 0.740201, acc: 0.498047] [A loss: 1.038142, acc: 0.074219] 9767: [D loss: 0.688307, acc: 0.556641] [A loss: 0.693880, acc: 0.539062] 9768: [D loss: 0.722199, acc: 0.523438] [A loss: 0.885582, acc: 0.171875] 9769: [D loss: 0.715799, acc: 0.488281] [A loss: 0.768708, acc: 0.308594] 9770: [D loss: 0.690112, acc: 0.546875] [A loss: 0.753932, acc: 0.378906] 9771: [D loss: 0.690769, acc: 0.544922] [A loss: 0.724532, acc: 0.476562] 9772: [D loss: 0.697969, acc: 0.498047] [A loss: 0.805175, acc: 0.304688] 9773: [D loss: 0.707419, acc: 0.521484] [A loss: 0.817783, acc: 0.269531] 9774: [D loss: 0.695614, acc: 0.529297] [A loss: 0.777707, acc: 0.339844] 9775: [D loss: 0.710748, acc: 0.484375] [A loss: 0.775238, acc: 0.304688] 9776: [D loss: 0.710771, acc: 0.509766] [A loss: 0.847632, acc: 0.246094] 9777: [D loss: 0.708511, acc: 0.503906] [A loss: 0.871398, acc: 0.226562] 9778: [D loss: 0.709235, acc: 0.505859] [A loss: 0.811860, acc: 0.269531] 9779: [D loss: 0.709278, acc: 0.490234] [A loss: 0.813656, acc: 0.277344] 9780: [D loss: 0.701461, acc: 0.531250] [A loss: 0.775150, acc: 0.363281] 9781: [D loss: 0.701468, acc: 0.537109] [A loss: 0.870139, acc: 0.199219] 9782: [D loss: 0.688458, acc: 0.525391] [A loss: 0.771839, acc: 0.328125] 9783: [D loss: 0.719077, acc: 0.507812] [A loss: 0.956446, acc: 0.109375] 9784: [D loss: 0.701425, acc: 0.523438] [A loss: 0.747046, acc: 0.414062] 9785: [D loss: 0.705357, acc: 0.501953] [A loss: 0.883092, acc: 0.187500] 9786: [D loss: 0.688715, acc: 0.550781] [A loss: 0.764919, acc: 0.375000] 9787: [D loss: 0.731204, acc: 0.488281] [A loss: 0.899287, acc: 0.167969] 9788: [D loss: 0.688942, acc: 0.537109] [A loss: 0.739599, acc: 0.417969] 9789: [D loss: 0.715416, acc: 0.505859] [A loss: 0.977734, acc: 0.093750] 9790: [D loss: 0.704541, acc: 0.527344] [A loss: 0.700083, acc: 0.500000] 9791: [D loss: 0.722486, acc: 0.503906] [A loss: 0.963810, acc: 0.109375] 9792: [D loss: 0.709749, acc: 0.505859] [A loss: 0.668239, acc: 0.546875] 9793: [D loss: 0.733456, acc: 0.478516] [A loss: 0.971195, acc: 0.105469] 9794: [D loss: 0.694331, acc: 0.529297] [A loss: 0.711466, acc: 0.472656] 9795: [D loss: 0.709243, acc: 0.527344] [A loss: 0.843314, acc: 0.238281] 9796: [D loss: 0.708324, acc: 0.505859] [A loss: 0.766270, acc: 0.351562] 9797: [D loss: 0.716676, acc: 0.494141] [A loss: 0.860537, acc: 0.281250] 9798: [D loss: 0.697725, acc: 0.513672] [A loss: 0.849008, acc: 0.195312] 9799: [D loss: 0.707833, acc: 0.527344] [A loss: 0.755777, acc: 0.371094] 9800: [D loss: 0.711402, acc: 0.500000] [A loss: 0.881414, acc: 0.195312] 9801: [D loss: 0.699331, acc: 0.521484] [A loss: 0.758362, acc: 0.343750] 9802: [D loss: 0.719945, acc: 0.494141] [A loss: 0.871556, acc: 0.203125] 9803: [D loss: 0.695681, acc: 0.539062] [A loss: 0.761078, acc: 0.378906] 9804: [D loss: 0.699059, acc: 0.527344] [A loss: 0.859598, acc: 0.210938] 9805: [D loss: 0.689935, acc: 0.535156] [A loss: 0.703881, acc: 0.468750] 9806: [D loss: 0.700573, acc: 0.533203] [A loss: 0.915236, acc: 0.152344] 9807: [D loss: 0.699634, acc: 0.531250] [A loss: 0.732657, acc: 0.457031] 9808: [D loss: 0.716590, acc: 0.523438] [A loss: 0.881505, acc: 0.148438] 9809: [D loss: 0.699571, acc: 0.513672] [A loss: 0.747026, acc: 0.406250] 9810: [D loss: 0.712087, acc: 0.492188] [A loss: 0.822266, acc: 0.296875] 9811: [D loss: 0.680338, acc: 0.572266] [A loss: 0.701177, acc: 0.511719] 9812: [D loss: 0.723210, acc: 0.500000] [A loss: 0.915469, acc: 0.117188] 9813: [D loss: 0.699596, acc: 0.515625] [A loss: 0.721635, acc: 0.468750] 9814: [D loss: 0.717415, acc: 0.494141] [A loss: 0.813194, acc: 0.265625] 9815: [D loss: 0.692369, acc: 0.544922] [A loss: 0.781438, acc: 0.359375] 9816: [D loss: 0.722329, acc: 0.492188] [A loss: 0.811590, acc: 0.265625] 9817: [D loss: 0.713621, acc: 0.474609] [A loss: 0.838302, acc: 0.214844] 9818: [D loss: 0.707922, acc: 0.501953] [A loss: 0.838595, acc: 0.285156] 9819: [D loss: 0.701691, acc: 0.507812] [A loss: 0.823034, acc: 0.257812] 9820: [D loss: 0.723210, acc: 0.470703] [A loss: 0.758852, acc: 0.363281] 9821: [D loss: 0.715147, acc: 0.546875] [A loss: 0.939634, acc: 0.093750] 9822: [D loss: 0.705894, acc: 0.525391] [A loss: 0.699917, acc: 0.523438] 9823: [D loss: 0.733181, acc: 0.498047] [A loss: 0.949359, acc: 0.093750] 9824: [D loss: 0.693477, acc: 0.554688] [A loss: 0.681596, acc: 0.546875] 9825: [D loss: 0.722048, acc: 0.500000] [A loss: 0.868413, acc: 0.187500] 9826: [D loss: 0.693334, acc: 0.535156] [A loss: 0.685250, acc: 0.539062] 9827: [D loss: 0.711443, acc: 0.546875] [A loss: 0.920415, acc: 0.136719] 9828: [D loss: 0.700203, acc: 0.513672] [A loss: 0.752636, acc: 0.402344] 9829: [D loss: 0.700863, acc: 0.537109] [A loss: 0.834394, acc: 0.238281] 9830: [D loss: 0.694228, acc: 0.550781] [A loss: 0.767682, acc: 0.394531] 9831: [D loss: 0.701020, acc: 0.548828] [A loss: 0.841127, acc: 0.253906] 9832: [D loss: 0.693388, acc: 0.546875] [A loss: 0.707473, acc: 0.476562] 9833: [D loss: 0.725850, acc: 0.498047] [A loss: 0.920631, acc: 0.152344] 9834: [D loss: 0.716963, acc: 0.474609] [A loss: 0.764229, acc: 0.390625] 9835: [D loss: 0.723008, acc: 0.458984] [A loss: 0.866839, acc: 0.156250] 9836: [D loss: 0.697403, acc: 0.542969] [A loss: 0.828590, acc: 0.289062] 9837: [D loss: 0.698850, acc: 0.515625] [A loss: 0.797324, acc: 0.304688] 9838: [D loss: 0.694846, acc: 0.566406] [A loss: 0.811271, acc: 0.292969] 9839: [D loss: 0.700830, acc: 0.511719] [A loss: 0.776551, acc: 0.367188] 9840: [D loss: 0.700417, acc: 0.539062] [A loss: 0.798258, acc: 0.273438] 9841: [D loss: 0.704368, acc: 0.505859] [A loss: 0.785628, acc: 0.343750] 9842: [D loss: 0.697474, acc: 0.535156] [A loss: 0.834500, acc: 0.296875] 9843: [D loss: 0.707588, acc: 0.480469] [A loss: 0.858748, acc: 0.195312] 9844: [D loss: 0.707076, acc: 0.505859] [A loss: 0.827148, acc: 0.238281] 9845: [D loss: 0.706980, acc: 0.505859] [A loss: 0.807920, acc: 0.281250] 9846: [D loss: 0.698327, acc: 0.513672] [A loss: 0.855979, acc: 0.218750] 9847: [D loss: 0.705175, acc: 0.511719] [A loss: 0.819705, acc: 0.277344] 9848: [D loss: 0.714707, acc: 0.486328] [A loss: 0.940093, acc: 0.078125] 9849: [D loss: 0.714566, acc: 0.511719] [A loss: 0.710646, acc: 0.433594] 9850: [D loss: 0.708272, acc: 0.501953] [A loss: 1.005851, acc: 0.046875] 9851: [D loss: 0.711226, acc: 0.507812] [A loss: 0.674930, acc: 0.585938] 9852: [D loss: 0.726815, acc: 0.519531] [A loss: 0.926007, acc: 0.125000] 9853: [D loss: 0.695102, acc: 0.548828] [A loss: 0.745429, acc: 0.410156] 9854: [D loss: 0.709586, acc: 0.498047] [A loss: 0.831652, acc: 0.265625] 9855: [D loss: 0.705528, acc: 0.517578] [A loss: 0.780968, acc: 0.324219] 9856: [D loss: 0.702168, acc: 0.535156] [A loss: 0.808872, acc: 0.328125] 9857: [D loss: 0.709980, acc: 0.501953] [A loss: 0.888731, acc: 0.167969] 9858: [D loss: 0.694218, acc: 0.517578] [A loss: 0.724840, acc: 0.457031] 9859: [D loss: 0.733230, acc: 0.476562] [A loss: 0.932275, acc: 0.117188] 9860: [D loss: 0.705917, acc: 0.511719] [A loss: 0.698601, acc: 0.492188] 9861: [D loss: 0.689513, acc: 0.550781] [A loss: 0.901214, acc: 0.152344] 9862: [D loss: 0.703719, acc: 0.511719] [A loss: 0.704619, acc: 0.500000] 9863: [D loss: 0.721034, acc: 0.529297] [A loss: 0.903004, acc: 0.140625] 9864: [D loss: 0.714764, acc: 0.496094] [A loss: 0.748615, acc: 0.421875] 9865: [D loss: 0.695332, acc: 0.539062] [A loss: 0.824516, acc: 0.250000] 9866: [D loss: 0.709841, acc: 0.501953] [A loss: 0.819651, acc: 0.257812] 9867: [D loss: 0.716808, acc: 0.484375] [A loss: 0.831694, acc: 0.214844] 9868: [D loss: 0.709947, acc: 0.517578] [A loss: 0.878548, acc: 0.187500] 9869: [D loss: 0.709060, acc: 0.498047] [A loss: 0.768568, acc: 0.367188] 9870: [D loss: 0.710021, acc: 0.490234] [A loss: 0.879668, acc: 0.179688] 9871: [D loss: 0.696989, acc: 0.541016] [A loss: 0.754039, acc: 0.429688] 9872: [D loss: 0.694220, acc: 0.527344] [A loss: 0.811708, acc: 0.261719] 9873: [D loss: 0.703738, acc: 0.490234] [A loss: 0.832830, acc: 0.230469] 9874: [D loss: 0.704248, acc: 0.527344] [A loss: 0.765043, acc: 0.371094] 9875: [D loss: 0.701400, acc: 0.498047] [A loss: 0.927538, acc: 0.128906] 9876: [D loss: 0.707170, acc: 0.488281] [A loss: 0.800459, acc: 0.257812] 9877: [D loss: 0.709353, acc: 0.513672] [A loss: 0.965820, acc: 0.078125] 9878: [D loss: 0.698972, acc: 0.513672] [A loss: 0.718675, acc: 0.507812] 9879: [D loss: 0.726671, acc: 0.513672] [A loss: 0.981341, acc: 0.070312] 9880: [D loss: 0.702644, acc: 0.509766] [A loss: 0.679043, acc: 0.605469] 9881: [D loss: 0.721076, acc: 0.517578] [A loss: 0.908205, acc: 0.160156] 9882: [D loss: 0.693986, acc: 0.542969] [A loss: 0.730563, acc: 0.460938] 9883: [D loss: 0.720108, acc: 0.498047] [A loss: 0.875846, acc: 0.164062] 9884: [D loss: 0.700903, acc: 0.503906] [A loss: 0.744721, acc: 0.390625] 9885: [D loss: 0.708500, acc: 0.496094] [A loss: 0.827181, acc: 0.242188] 9886: [D loss: 0.698678, acc: 0.501953] [A loss: 0.771354, acc: 0.332031] 9887: [D loss: 0.712680, acc: 0.501953] [A loss: 0.829304, acc: 0.199219] 9888: [D loss: 0.701372, acc: 0.527344] [A loss: 0.781344, acc: 0.343750] 9889: [D loss: 0.716451, acc: 0.519531] [A loss: 0.896593, acc: 0.132812] 9890: [D loss: 0.691981, acc: 0.554688] [A loss: 0.727253, acc: 0.433594] 9891: [D loss: 0.708480, acc: 0.501953] [A loss: 0.907458, acc: 0.183594] 9892: [D loss: 0.693723, acc: 0.552734] [A loss: 0.783546, acc: 0.339844] 9893: [D loss: 0.693859, acc: 0.533203] [A loss: 0.880650, acc: 0.187500] 9894: [D loss: 0.696374, acc: 0.544922] [A loss: 0.702995, acc: 0.550781] 9895: [D loss: 0.702836, acc: 0.509766] [A loss: 0.882826, acc: 0.171875] 9896: [D loss: 0.714149, acc: 0.501953] [A loss: 0.725664, acc: 0.441406] 9897: [D loss: 0.710765, acc: 0.546875] [A loss: 0.960642, acc: 0.054688] 9898: [D loss: 0.693723, acc: 0.546875] [A loss: 0.687160, acc: 0.542969] 9899: [D loss: 0.729142, acc: 0.482422] [A loss: 0.864308, acc: 0.175781] 9900: [D loss: 0.705596, acc: 0.498047] [A loss: 0.745523, acc: 0.414062] 9901: [D loss: 0.702705, acc: 0.531250] [A loss: 0.829184, acc: 0.273438] 9902: [D loss: 0.703831, acc: 0.523438] [A loss: 0.811841, acc: 0.277344] 9903: [D loss: 0.700237, acc: 0.521484] [A loss: 0.861895, acc: 0.175781] 9904: [D loss: 0.709426, acc: 0.496094] [A loss: 0.813901, acc: 0.261719] 9905: [D loss: 0.698140, acc: 0.548828] [A loss: 0.814697, acc: 0.285156] 9906: [D loss: 0.707271, acc: 0.513672] [A loss: 0.893118, acc: 0.144531] 9907: [D loss: 0.691434, acc: 0.556641] [A loss: 0.844713, acc: 0.261719] 9908: [D loss: 0.699203, acc: 0.550781] [A loss: 0.909255, acc: 0.144531] 9909: [D loss: 0.678895, acc: 0.572266] [A loss: 0.712259, acc: 0.457031] 9910: [D loss: 0.720975, acc: 0.509766] [A loss: 0.983227, acc: 0.074219] 9911: [D loss: 0.704777, acc: 0.498047] [A loss: 0.689891, acc: 0.550781] 9912: [D loss: 0.712431, acc: 0.529297] [A loss: 0.940330, acc: 0.136719] 9913: [D loss: 0.702434, acc: 0.480469] [A loss: 0.712396, acc: 0.460938] 9914: [D loss: 0.720541, acc: 0.498047] [A loss: 0.883296, acc: 0.160156] 9915: [D loss: 0.702912, acc: 0.511719] [A loss: 0.721127, acc: 0.449219] 9916: [D loss: 0.716795, acc: 0.503906] [A loss: 0.949742, acc: 0.128906] 9917: [D loss: 0.711588, acc: 0.484375] [A loss: 0.745045, acc: 0.417969] 9918: [D loss: 0.711802, acc: 0.521484] [A loss: 0.887042, acc: 0.195312] 9919: [D loss: 0.707459, acc: 0.500000] [A loss: 0.785308, acc: 0.304688] 9920: [D loss: 0.701501, acc: 0.509766] [A loss: 0.854152, acc: 0.218750] 9921: [D loss: 0.703795, acc: 0.509766] [A loss: 0.761579, acc: 0.382812] 9922: [D loss: 0.711228, acc: 0.501953] [A loss: 0.849371, acc: 0.210938] 9923: [D loss: 0.691739, acc: 0.544922] [A loss: 0.783567, acc: 0.328125] 9924: [D loss: 0.728851, acc: 0.476562] [A loss: 0.890393, acc: 0.183594] 9925: [D loss: 0.693817, acc: 0.517578] [A loss: 0.712181, acc: 0.472656] 9926: [D loss: 0.703215, acc: 0.537109] [A loss: 0.891619, acc: 0.179688] 9927: [D loss: 0.705547, acc: 0.503906] [A loss: 0.723515, acc: 0.457031] 9928: [D loss: 0.710245, acc: 0.531250] [A loss: 0.915438, acc: 0.152344] 9929: [D loss: 0.710698, acc: 0.480469] [A loss: 0.699932, acc: 0.492188] 9930: [D loss: 0.731861, acc: 0.482422] [A loss: 0.947807, acc: 0.125000] 9931: [D loss: 0.706987, acc: 0.513672] [A loss: 0.703822, acc: 0.507812] 9932: [D loss: 0.702310, acc: 0.521484] [A loss: 0.919366, acc: 0.140625] 9933: [D loss: 0.713767, acc: 0.472656] [A loss: 0.774165, acc: 0.351562] 9934: [D loss: 0.699007, acc: 0.541016] [A loss: 0.828373, acc: 0.265625] 9935: [D loss: 0.698787, acc: 0.542969] [A loss: 0.757514, acc: 0.410156] 9936: [D loss: 0.710903, acc: 0.509766] [A loss: 0.886724, acc: 0.175781] 9937: [D loss: 0.710589, acc: 0.498047] [A loss: 0.737589, acc: 0.421875] 9938: [D loss: 0.712908, acc: 0.521484] [A loss: 0.807911, acc: 0.277344] 9939: [D loss: 0.706117, acc: 0.478516] [A loss: 0.895531, acc: 0.218750] 9940: [D loss: 0.708259, acc: 0.503906] [A loss: 0.880582, acc: 0.171875] 9941: [D loss: 0.703499, acc: 0.503906] [A loss: 0.785327, acc: 0.312500] 9942: [D loss: 0.711686, acc: 0.511719] [A loss: 0.834219, acc: 0.226562] 9943: [D loss: 0.717044, acc: 0.468750] [A loss: 0.816129, acc: 0.253906] 9944: [D loss: 0.705604, acc: 0.521484] [A loss: 0.822448, acc: 0.214844] 9945: [D loss: 0.709182, acc: 0.484375] [A loss: 0.767762, acc: 0.394531] 9946: [D loss: 0.693743, acc: 0.548828] [A loss: 0.871424, acc: 0.195312] 9947: [D loss: 0.687276, acc: 0.568359] [A loss: 0.726414, acc: 0.460938] 9948: [D loss: 0.719322, acc: 0.523438] [A loss: 0.997287, acc: 0.093750] 9949: [D loss: 0.709036, acc: 0.492188] [A loss: 0.654125, acc: 0.632812] 9950: [D loss: 0.735575, acc: 0.482422] [A loss: 1.030609, acc: 0.031250] 9951: [D loss: 0.707957, acc: 0.500000] [A loss: 0.688590, acc: 0.546875] 9952: [D loss: 0.733349, acc: 0.470703] [A loss: 0.869905, acc: 0.191406] 9953: [D loss: 0.691405, acc: 0.539062] [A loss: 0.699947, acc: 0.531250] 9954: [D loss: 0.705034, acc: 0.507812] [A loss: 0.836219, acc: 0.269531] 9955: [D loss: 0.704203, acc: 0.519531] [A loss: 0.792441, acc: 0.312500] 9956: [D loss: 0.686119, acc: 0.554688] [A loss: 0.801701, acc: 0.285156] 9957: [D loss: 0.706300, acc: 0.523438] [A loss: 0.815178, acc: 0.289062] 9958: [D loss: 0.714663, acc: 0.482422] [A loss: 0.842651, acc: 0.238281] 9959: [D loss: 0.705473, acc: 0.505859] [A loss: 0.794315, acc: 0.363281] 9960: [D loss: 0.704456, acc: 0.533203] [A loss: 0.881762, acc: 0.199219] 9961: [D loss: 0.692228, acc: 0.535156] [A loss: 0.754570, acc: 0.382812] 9962: [D loss: 0.712019, acc: 0.527344] [A loss: 0.893372, acc: 0.167969] 9963: [D loss: 0.701589, acc: 0.525391] [A loss: 0.749442, acc: 0.386719] 9964: [D loss: 0.710042, acc: 0.531250] [A loss: 0.995087, acc: 0.074219] 9965: [D loss: 0.700931, acc: 0.511719] [A loss: 0.689362, acc: 0.535156] 9966: [D loss: 0.721732, acc: 0.539062] [A loss: 0.924627, acc: 0.128906] 9967: [D loss: 0.710029, acc: 0.501953] [A loss: 0.671173, acc: 0.574219] 9968: [D loss: 0.721220, acc: 0.513672] [A loss: 0.959516, acc: 0.089844] 9969: [D loss: 0.698099, acc: 0.519531] [A loss: 0.734549, acc: 0.449219] 9970: [D loss: 0.713845, acc: 0.513672] [A loss: 0.856999, acc: 0.191406] 9971: [D loss: 0.692065, acc: 0.513672] [A loss: 0.736240, acc: 0.449219] 9972: [D loss: 0.714392, acc: 0.515625] [A loss: 0.838567, acc: 0.226562] 9973: [D loss: 0.712408, acc: 0.484375] [A loss: 0.750725, acc: 0.382812] 9974: [D loss: 0.710034, acc: 0.517578] [A loss: 0.900789, acc: 0.148438] 9975: [D loss: 0.693263, acc: 0.529297] [A loss: 0.768637, acc: 0.335938] 9976: [D loss: 0.696533, acc: 0.541016] [A loss: 0.844245, acc: 0.214844] 9977: [D loss: 0.695405, acc: 0.525391] [A loss: 0.799951, acc: 0.261719] 9978: [D loss: 0.707594, acc: 0.507812] [A loss: 0.797974, acc: 0.339844] 9979: [D loss: 0.692838, acc: 0.505859] [A loss: 0.788878, acc: 0.343750] 9980: [D loss: 0.701632, acc: 0.507812] [A loss: 0.807298, acc: 0.324219] 9981: [D loss: 0.702076, acc: 0.527344] [A loss: 0.891934, acc: 0.175781] 9982: [D loss: 0.704556, acc: 0.500000] [A loss: 0.824578, acc: 0.273438] 9983: [D loss: 0.698193, acc: 0.531250] [A loss: 0.831366, acc: 0.253906] 9984: [D loss: 0.693550, acc: 0.531250] [A loss: 0.801216, acc: 0.304688] 9985: [D loss: 0.698367, acc: 0.525391] [A loss: 0.885410, acc: 0.167969] 9986: [D loss: 0.715157, acc: 0.498047] [A loss: 0.825704, acc: 0.261719] 9987: [D loss: 0.699492, acc: 0.511719] [A loss: 0.836845, acc: 0.234375] 9988: [D loss: 0.711431, acc: 0.542969] [A loss: 0.904960, acc: 0.167969] 9989: [D loss: 0.710272, acc: 0.500000] [A loss: 0.800365, acc: 0.285156] 9990: [D loss: 0.703919, acc: 0.513672] [A loss: 0.919968, acc: 0.125000] 9991: [D loss: 0.700621, acc: 0.523438] [A loss: 0.764311, acc: 0.382812] 9992: [D loss: 0.712579, acc: 0.488281] [A loss: 0.940378, acc: 0.144531] 9993: [D loss: 0.697750, acc: 0.527344] [A loss: 0.831457, acc: 0.230469] 9994: [D loss: 0.698126, acc: 0.529297] [A loss: 0.905574, acc: 0.152344] 9995: [D loss: 0.701301, acc: 0.529297] [A loss: 0.724426, acc: 0.433594] 9996: [D loss: 0.719374, acc: 0.505859] [A loss: 1.023737, acc: 0.042969] 9997: [D loss: 0.700485, acc: 0.507812] [A loss: 0.645004, acc: 0.636719] 9998: [D loss: 0.726439, acc: 0.498047] [A loss: 1.002973, acc: 0.082031] 9999: [D loss: 0.706637, acc: 0.537109] [A loss: 0.744854, acc: 0.375000] Elapsed: 27.95112030506134 min
