深度残差网络+自适应参数化ReLU激活函数（调参记录17）
在调参记录16的基础上，增加了两个残差模块，继续测试其在Cifar10数据集上的效果。
自适应参数化ReLU激活函数的基本原理如下：
Keras程序：
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue Apr 14 04:17:45 2020
Implemented using TensorFlow 1.10.0 and Keras 2.2.1
Minghang Zhao, Shisheng Zhong, Xuyun Fu, Baoping Tang, Shaojiang Dong, Michael Pecht,
Deep Residual Networks with Adaptively Parametric Rectifier Linear Units for Fault Diagnosis,
IEEE Transactions on Industrial Electronics, 2020, DOI: 10.1109/TIE.2020.2972458
@author: Minghang Zhao
"""
from __future__ import print_function
import keras
import numpy as np
from keras.datasets import cifar10
from keras.layers import Dense, Conv2D, BatchNormalization, Activation, Minimum
from keras.layers import AveragePooling2D, Input, GlobalAveragePooling2D, Concatenate, Reshape
from keras.regularizers import l2
from keras import backend as K
from keras.models import Model
from keras import optimizers
from keras.preprocessing.image import ImageDataGenerator
from keras.callbacks import LearningRateScheduler
K.set_learning_phase(1)
# The data, split between train and test sets
(x_train, y_train), (x_test, y_test) = cifar10.load_data()
# Noised data
x_train = x_train.astype('float32') / 255.
x_test = x_test.astype('float32') / 255.
x_test = x_test-np.mean(x_train)
x_train = x_train-np.mean(x_train)
print('x_train shape:', x_train.shape)
print(x_train.shape[0], 'train samples')
print(x_test.shape[0], 'test samples')
# convert class vectors to binary class matrices
y_train = keras.utils.to_categorical(y_train, 10)
y_test = keras.utils.to_categorical(y_test, 10)
# Schedule the learning rate, multiply 0.1 every 1500 epoches
def scheduler(epoch):
if epoch % 1500 == 0 and epoch != 0:
lr = K.get_value(model.optimizer.lr)
K.set_value(model.optimizer.lr, lr * 0.1)
print("lr changed to {}".format(lr * 0.1))
return K.get_value(model.optimizer.lr)
# An adaptively parametric rectifier linear unit (APReLU)
def aprelu(inputs):
# get the number of channels
channels = inputs.get_shape().as_list()[-1]
# get a zero feature map
zeros_input = keras.layers.subtract([inputs, inputs])
# get a feature map with only positive features
pos_input = Activation('relu')(inputs)
# get a feature map with only negative features
neg_input = Minimum()([inputs,zeros_input])
# define a network to obtain the scaling coefficients
scales_p = GlobalAveragePooling2D()(pos_input)
scales_n = GlobalAveragePooling2D()(neg_input)
scales = Concatenate()([scales_n, scales_p])
scales = Dense(channels//16, activation='linear', kernel_initializer='he_normal', kernel_regularizer=l2(1e-4))(scales)
scales = BatchNormalization(momentum=0.9, gamma_regularizer=l2(1e-4))(scales)
scales = Activation('relu')(scales)
scales = Dense(channels, activation='linear', kernel_initializer='he_normal', kernel_regularizer=l2(1e-4))(scales)
scales = BatchNormalization(momentum=0.9, gamma_regularizer=l2(1e-4))(scales)
scales = Activation('sigmoid')(scales)
scales = Reshape((1,1,channels))(scales)
# apply a paramtetric relu
neg_part = keras.layers.multiply([scales, neg_input])
return keras.layers.add([pos_input, neg_part])
# Residual Block
def residual_block(incoming, nb_blocks, out_channels, downsample=False,
downsample_strides=2):
residual = incoming
in_channels = incoming.get_shape().as_list()[-1]
for i in range(nb_blocks):
identity = residual
if not downsample:
downsample_strides = 1
residual = BatchNormalization(momentum=0.9, gamma_regularizer=l2(1e-4))(residual)
residual = aprelu(residual)
residual = Conv2D(out_channels, 3, strides=(downsample_strides, downsample_strides),
padding='same', kernel_initializer='he_normal',
kernel_regularizer=l2(1e-4))(residual)
residual = BatchNormalization(momentum=0.9, gamma_regularizer=l2(1e-4))(residual)
residual = aprelu(residual)
residual = Conv2D(out_channels, 3, padding='same', kernel_initializer='he_normal',
kernel_regularizer=l2(1e-4))(residual)
# Downsampling
if downsample_strides > 1:
identity = AveragePooling2D(pool_size=(1,1), strides=(2,2))(identity)
# Zero_padding to match channels
if in_channels != out_channels:
zeros_identity = keras.layers.subtract([identity, identity])
identity = keras.layers.concatenate([identity, zeros_identity])
in_channels = out_channels
residual = keras.layers.add([residual, identity])
return residual
# define and train a model
inputs = Input(shape=(32, 32, 3))
net = Conv2D(16, 3, padding='same', kernel_initializer='he_normal', kernel_regularizer=l2(1e-4))(inputs)
net = residual_block(net, 1, 32, downsample=False)
net = residual_block(net, 1, 32, downsample=True)
net = residual_block(net, 1, 32, downsample=False)
net = residual_block(net, 1, 64, downsample=True)
net = residual_block(net, 1, 64, downsample=False)
net = BatchNormalization(momentum=0.9, gamma_regularizer=l2(1e-4))(net)
net = aprelu(net)
net = GlobalAveragePooling2D()(net)
outputs = Dense(10, activation='softmax', kernel_initializer='he_normal', kernel_regularizer=l2(1e-4))(net)
model = Model(inputs=inputs, outputs=outputs)
sgd = optimizers.SGD(lr=0.1, decay=0., momentum=0.9, nesterov=True)
model.compile(loss='categorical_crossentropy', optimizer=sgd, metrics=['accuracy'])
# data augmentation
datagen = ImageDataGenerator(
# randomly rotate images in the range (deg 0 to 180)
rotation_range=30,
# Range for random zoom
zoom_range = 0.2,
# shear angle in counter-clockwise direction in degrees
shear_range = 30,
# randomly flip images
horizontal_flip=True,
# randomly shift images horizontally
width_shift_range=0.125,
# randomly shift images vertically
height_shift_range=0.125)
reduce_lr = LearningRateScheduler(scheduler)
# fit the model on the batches generated by datagen.flow().
model.fit_generator(datagen.flow(x_train, y_train, batch_size=100),
validation_data=(x_test, y_test), epochs=5000,
verbose=1, callbacks=[reduce_lr], workers=4)
# get results
K.set_learning_phase(0)
DRSN_train_score = model.evaluate(x_train, y_train, batch_size=100, verbose=0)
print('Train loss:', DRSN_train_score[0])
print('Train accuracy:', DRSN_train_score[1])
DRSN_test_score = model.evaluate(x_test, y_test, batch_size=100, verbose=0)
print('Test loss:', DRSN_test_score[0])
print('Test accuracy:', DRSN_test_score[1])
实验结果如下（为了方便观看，删除了部分等号）：
Using TensorFlow backend. x_train shape: (50000, 32, 32, 3) 50000 train samples 10000 test samples Epoch 1/5000 20s 41ms/step - loss: 1.9490 - acc: 0.3869 - val_loss: 1.6784 - val_acc: 0.4900 Epoch 2/5000 14s 29ms/step - loss: 1.6703 - acc: 0.4833 - val_loss: 1.4725 - val_acc: 0.5484 Epoch 3/5000 14s 29ms/step - loss: 1.5095 - acc: 0.5392 - val_loss: 1.3049 - val_acc: 0.6056 Epoch 4/5000 14s 29ms/step - loss: 1.3979 - acc: 0.5784 - val_loss: 1.2282 - val_acc: 0.6386 Epoch 5/5000 14s 29ms/step - loss: 1.3169 - acc: 0.6028 - val_loss: 1.1671 - val_acc: 0.6576 Epoch 6/5000 14s 29ms/step - loss: 1.2644 - acc: 0.6202 - val_loss: 1.1295 - val_acc: 0.6625 Epoch 7/5000 14s 29ms/step - loss: 1.2118 - acc: 0.6399 - val_loss: 1.0974 - val_acc: 0.6794 Epoch 8/5000 14s 29ms/step - loss: 1.1754 - acc: 0.6510 - val_loss: 1.0352 - val_acc: 0.7042 Epoch 9/5000 14s 29ms/step - loss: 1.1392 - acc: 0.6640 - val_loss: 1.0079 - val_acc: 0.7117 Epoch 10/5000 14s 29ms/step - loss: 1.1119 - acc: 0.6746 - val_loss: 0.9513 - val_acc: 0.7395 Epoch 11/5000 14s 29ms/step - loss: 1.0894 - acc: 0.6835 - val_loss: 0.9600 - val_acc: 0.7335 Epoch 12/5000 14s 29ms/step - loss: 1.0705 - acc: 0.6928 - val_loss: 0.9051 - val_acc: 0.7574 Epoch 13/5000 14s 29ms/step - loss: 1.0536 - acc: 0.6997 - val_loss: 0.9088 - val_acc: 0.7560 Epoch 14/5000 14s 29ms/step - loss: 1.0392 - acc: 0.7067 - val_loss: 0.8895 - val_acc: 0.7610 Epoch 15/5000 14s 29ms/step - loss: 1.0240 - acc: 0.7122 - val_loss: 0.9020 - val_acc: 0.7570 Epoch 16/5000 14s 29ms/step - loss: 1.0169 - acc: 0.7169 - val_loss: 0.9082 - val_acc: 0.7576 Epoch 17/5000 14s 29ms/step - loss: 1.0000 - acc: 0.7205 - val_loss: 0.8647 - val_acc: 0.7762 Epoch 18/5000 14s 29ms/step - loss: 0.9946 - acc: 0.7258 - val_loss: 0.8520 - val_acc: 0.7816 Epoch 19/5000 14s 29ms/step - loss: 0.9874 - acc: 0.7300 - val_loss: 0.8447 - val_acc: 0.7781 Epoch 20/5000 14s 29ms/step - loss: 0.9796 - acc: 0.7331 - val_loss: 0.8503 - val_acc: 0.7834 Epoch 21/5000 14s 29ms/step - loss: 0.9739 - acc: 0.7345 - val_loss: 0.8347 - val_acc: 0.7905 Epoch 22/5000 14s 29ms/step - loss: 0.9654 - acc: 0.7408 - val_loss: 0.8485 - val_acc: 0.7847 Epoch 23/5000 14s 29ms/step - loss: 0.9562 - acc: 0.7437 - val_loss: 0.8187 - val_acc: 0.8000 Epoch 24/5000 14s 29ms/step - loss: 0.9529 - acc: 0.7453 - val_loss: 0.8432 - val_acc: 0.7849 Epoch 25/5000 14s 29ms/step - loss: 0.9468 - acc: 0.7479 - val_loss: 0.8176 - val_acc: 0.7991 Epoch 26/5000 14s 29ms/step - loss: 0.9374 - acc: 0.7529 - val_loss: 0.8107 - val_acc: 0.8008 Epoch 27/5000 14s 29ms/step - loss: 0.9401 - acc: 0.7521 - val_loss: 0.8046 - val_acc: 0.8056 Epoch 28/5000 14s 29ms/step - loss: 0.9357 - acc: 0.7532 - val_loss: 0.7972 - val_acc: 0.8110 Epoch 29/5000 14s 29ms/step - loss: 0.9268 - acc: 0.7579 - val_loss: 0.8300 - val_acc: 0.7964 Epoch 30/5000 14s 29ms/step - loss: 0.9260 - acc: 0.7603 - val_loss: 0.8116 - val_acc: 0.7988 Epoch 31/5000 14s 29ms/step - loss: 0.9204 - acc: 0.7607 - val_loss: 0.7832 - val_acc: 0.8146 Epoch 32/5000 14s 29ms/step - loss: 0.9200 - acc: 0.7617 - val_loss: 0.7900 - val_acc: 0.8138 Epoch 33/5000 14s 29ms/step - loss: 0.9179 - acc: 0.7647 - val_loss: 0.8021 - val_acc: 0.8061 Epoch 34/5000 14s 28ms/step - loss: 0.9111 - acc: 0.7656 - val_loss: 0.8005 - val_acc: 0.8052 Epoch 35/5000 14s 29ms/step - loss: 0.9107 - acc: 0.7671 - val_loss: 0.7924 - val_acc: 0.8160 Epoch 36/5000 14s 29ms/step - loss: 0.9084 - acc: 0.7690 - val_loss: 0.7984 - val_acc: 0.8104 Epoch 37/5000 14s 29ms/step - loss: 0.9018 - acc: 0.7695 - val_loss: 0.8222 - val_acc: 0.8028 Epoch 38/5000 14s 29ms/step - loss: 0.9068 - acc: 0.7711 - val_loss: 0.7934 - val_acc: 0.8156 Epoch 39/5000 14s 29ms/step - loss: 0.8978 - acc: 0.7737 - val_loss: 0.7866 - val_acc: 0.8163 Epoch 40/5000 14s 29ms/step - loss: 0.9013 - acc: 0.7723 - val_loss: 0.8102 - val_acc: 0.8108 Epoch 41/5000 14s 29ms/step - loss: 0.8921 - acc: 0.7756 - val_loss: 0.7937 - val_acc: 0.8163 Epoch 42/5000 14s 29ms/step - loss: 0.8922 - acc: 0.7764 - val_loss: 0.7852 - val_acc: 0.8196 Epoch 43/5000 14s 29ms/step - loss: 0.8946 - acc: 0.7751 - val_loss: 0.8259 - val_acc: 0.8046 Epoch 44/5000 14s 29ms/step - loss: 0.8908 - acc: 0.7771 - val_loss: 0.7840 - val_acc: 0.8193 Epoch 45/5000 14s 29ms/step - loss: 0.8865 - acc: 0.7795 - val_loss: 0.8009 - val_acc: 0.8101 Epoch 46/5000 14s 29ms/step - loss: 0.8877 - acc: 0.7812 - val_loss: 0.7900 - val_acc: 0.8169 Epoch 47/5000 14s 29ms/step - loss: 0.8811 - acc: 0.7818 - val_loss: 0.7807 - val_acc: 0.8206 Epoch 48/5000 14s 29ms/step - loss: 0.8779 - acc: 0.7845 - val_loss: 0.7634 - val_acc: 0.8273 Epoch 49/5000 14s 29ms/step - loss: 0.8800 - acc: 0.7827 - val_loss: 0.7734 - val_acc: 0.8242 Epoch 50/5000 14s 29ms/step - loss: 0.8772 - acc: 0.7835 - val_loss: 0.7841 - val_acc: 0.8193 Epoch 51/5000 14s 29ms/step - loss: 0.8736 - acc: 0.7843 - val_loss: 0.7970 - val_acc: 0.8190 Epoch 52/5000 14s 29ms/step - loss: 0.8768 - acc: 0.7852 - val_loss: 0.7855 - val_acc: 0.8178 Epoch 53/5000 14s 29ms/step - loss: 0.8741 - acc: 0.7835 - val_loss: 0.7851 - val_acc: 0.8209 Epoch 54/5000 14s 29ms/step - loss: 0.8722 - acc: 0.7858 - val_loss: 0.7825 - val_acc: 0.8184 Epoch 55/5000 14s 29ms/step - loss: 0.8697 - acc: 0.7891 - val_loss: 0.7771 - val_acc: 0.8227 Epoch 56/5000 14s 29ms/step - loss: 0.8711 - acc: 0.7873 - val_loss: 0.7677 - val_acc: 0.8236 Epoch 57/5000 14s 29ms/step - loss: 0.8711 - acc: 0.7878 - val_loss: 0.7872 - val_acc: 0.8155 Epoch 58/5000 14s 29ms/step - loss: 0.8678 - acc: 0.7886 - val_loss: 0.7936 - val_acc: 0.8193 Epoch 59/5000 14s 29ms/step - loss: 0.8650 - acc: 0.7904 - val_loss: 0.7778 - val_acc: 0.8287 Epoch 60/5000 14s 29ms/step - loss: 0.8655 - acc: 0.7905 - val_loss: 0.7670 - val_acc: 0.8283 Epoch 61/5000 14s 29ms/step - loss: 0.8640 - acc: 0.7906 - val_loss: 0.7757 - val_acc: 0.8247 Epoch 62/5000 14s 29ms/step - loss: 0.8645 - acc: 0.7894 - val_loss: 0.7600 - val_acc: 0.8312 Epoch 63/5000 14s 29ms/step - loss: 0.8620 - acc: 0.7916 - val_loss: 0.7823 - val_acc: 0.8211 Epoch 64/5000 14s 29ms/step - loss: 0.8584 - acc: 0.7914 - val_loss: 0.7873 - val_acc: 0.8187 Epoch 65/5000 14s 29ms/step - loss: 0.8567 - acc: 0.7930 - val_loss: 0.7810 - val_acc: 0.8231 Epoch 66/5000 14s 29ms/step - loss: 0.8639 - acc: 0.7912 - val_loss: 0.7653 - val_acc: 0.8298 Epoch 67/5000 14s 29ms/step - loss: 0.8594 - acc: 0.7939 - val_loss: 0.7763 - val_acc: 0.8265 Epoch 68/5000 14s 29ms/step - loss: 0.8585 - acc: 0.7921 - val_loss: 0.7711 - val_acc: 0.8277 Epoch 69/5000 14s 29ms/step - loss: 0.8571 - acc: 0.7937 - val_loss: 0.7650 - val_acc: 0.8278 Epoch 70/5000 14s 29ms/step - loss: 0.8590 - acc: 0.7942 - val_loss: 0.7646 - val_acc: 0.8290 Epoch 71/5000 14s 29ms/step - loss: 0.8548 - acc: 0.7960 - val_loss: 0.7720 - val_acc: 0.8247 Epoch 72/5000 14s 29ms/step - loss: 0.8521 - acc: 0.7967 - val_loss: 0.7601 - val_acc: 0.8321 Epoch 73/5000 14s 29ms/step - loss: 0.8558 - acc: 0.7944 - val_loss: 0.7635 - val_acc: 0.8326 Epoch 74/5000 14s 29ms/step - loss: 0.8483 - acc: 0.7973 - val_loss: 0.7519 - val_acc: 0.8357 Epoch 75/5000 14s 29ms/step - loss: 0.8506 - acc: 0.7966 - val_loss: 0.7509 - val_acc: 0.8339 Epoch 76/5000 14s 29ms/step - loss: 0.8447 - acc: 0.7989 - val_loss: 0.7960 - val_acc: 0.8171 Epoch 77/5000 14s 29ms/step - loss: 0.8497 - acc: 0.7991 - val_loss: 0.7699 - val_acc: 0.8282 Epoch 78/5000 14s 29ms/step - loss: 0.8464 - acc: 0.7996 - val_loss: 0.7747 - val_acc: 0.8269 Epoch 79/5000 14s 29ms/step - loss: 0.8509 - acc: 0.7971 - val_loss: 0.7450 - val_acc: 0.8379 Epoch 80/5000 14s 29ms/step - loss: 0.8449 - acc: 0.7981 - val_loss: 0.7784 - val_acc: 0.8251 Epoch 81/5000 14s 29ms/step - loss: 0.8446 - acc: 0.7985 - val_loss: 0.7689 - val_acc: 0.8312 Epoch 82/5000 14s 29ms/step - loss: 0.8481 - acc: 0.7992 - val_loss: 0.7573 - val_acc: 0.8306 Epoch 83/5000 14s 29ms/step - loss: 0.8417 - acc: 0.7996 - val_loss: 0.7677 - val_acc: 0.8297 Epoch 84/5000 14s 29ms/step - loss: 0.8475 - acc: 0.7991 - val_loss: 0.7583 - val_acc: 0.8287 Epoch 85/5000 14s 29ms/step - loss: 0.8464 - acc: 0.7983 - val_loss: 0.7552 - val_acc: 0.8322 Epoch 86/5000 14s 29ms/step - loss: 0.8413 - acc: 0.8003 - val_loss: 0.7631 - val_acc: 0.8272 Epoch 87/5000 14s 29ms/step - loss: 0.8400 - acc: 0.8001 - val_loss: 0.7308 - val_acc: 0.8473 Epoch 88/5000 14s 29ms/step - loss: 0.8438 - acc: 0.8011 - val_loss: 0.7709 - val_acc: 0.8336 Epoch 89/5000 14s 28ms/step - loss: 0.8425 - acc: 0.8016 - val_loss: 0.7587 - val_acc: 0.8323 Epoch 90/5000 14s 29ms/step - loss: 0.8343 - acc: 0.8021 - val_loss: 0.7741 - val_acc: 0.8234 Epoch 91/5000 14s 29ms/step - loss: 0.8438 - acc: 0.7996 - val_loss: 0.7556 - val_acc: 0.8351 Epoch 92/5000 14s 29ms/step - loss: 0.8312 - acc: 0.8047 - val_loss: 0.7597 - val_acc: 0.8329 Epoch 93/5000 14s 29ms/step - loss: 0.8412 - acc: 0.8006 - val_loss: 0.7615 - val_acc: 0.8289 Epoch 94/5000 14s 29ms/step - loss: 0.8381 - acc: 0.8022 - val_loss: 0.7550 - val_acc: 0.8356 Epoch 95/5000 14s 29ms/step - loss: 0.8362 - acc: 0.8025 - val_loss: 0.7662 - val_acc: 0.8306 Epoch 96/5000 14s 29ms/step - loss: 0.8378 - acc: 0.8015 - val_loss: 0.7676 - val_acc: 0.8299 Epoch 97/5000 14s 29ms/step - loss: 0.8378 - acc: 0.8032 - val_loss: 0.7482 - val_acc: 0.8382 Epoch 98/5000 14s 28ms/step - loss: 0.8357 - acc: 0.8020 - val_loss: 0.7348 - val_acc: 0.8398 Epoch 99/5000 14s 29ms/step - loss: 0.8369 - acc: 0.8018 - val_loss: 0.7620 - val_acc: 0.8332 Epoch 100/5000 14s 29ms/step - loss: 0.8390 - acc: 0.8032 - val_loss: 0.7553 - val_acc: 0.8336 Epoch 101/5000 14s 29ms/step - loss: 0.8316 - acc: 0.8059 - val_loss: 0.7575 - val_acc: 0.8314 Epoch 102/5000 14s 29ms/step - loss: 0.8347 - acc: 0.8044 - val_loss: 0.7530 - val_acc: 0.8338 Epoch 103/5000 14s 29ms/step - loss: 0.8327 - acc: 0.8043 - val_loss: 0.7527 - val_acc: 0.8376 Epoch 104/5000 14s 29ms/step - loss: 0.8349 - acc: 0.8051 - val_loss: 0.7427 - val_acc: 0.8376 Epoch 105/5000 14s 29ms/step - loss: 0.8320 - acc: 0.8050 - val_loss: 0.7632 - val_acc: 0.8333 Epoch 106/5000 14s 29ms/step - loss: 0.8307 - acc: 0.8051 - val_loss: 0.7351 - val_acc: 0.8399 Epoch 107/5000 14s 29ms/step - loss: 0.8311 - acc: 0.8061 - val_loss: 0.7481 - val_acc: 0.8351 Epoch 108/5000 14s 29ms/step - loss: 0.8304 - acc: 0.8057 - val_loss: 0.7464 - val_acc: 0.8383 Epoch 109/5000 14s 29ms/step - loss: 0.8292 - acc: 0.8068 - val_loss: 0.7460 - val_acc: 0.8399 Epoch 110/5000 14s 29ms/step - loss: 0.8288 - acc: 0.8068 - val_loss: 0.7730 - val_acc: 0.8277 Epoch 111/5000 14s 29ms/step - loss: 0.8307 - acc: 0.8046 - val_loss: 0.7451 - val_acc: 0.8381 Epoch 112/5000 14s 29ms/step - loss: 0.8258 - acc: 0.8079 - val_loss: 0.7317 - val_acc: 0.8452 Epoch 113/5000 14s 29ms/step - loss: 0.8304 - acc: 0.8067 - val_loss: 0.7715 - val_acc: 0.8274 Epoch 114/5000 14s 29ms/step - loss: 0.8317 - acc: 0.8041 - val_loss: 0.7588 - val_acc: 0.8337 Epoch 115/5000 14s 29ms/step - loss: 0.8293 - acc: 0.8044 - val_loss: 0.7498 - val_acc: 0.8366 Epoch 116/5000 14s 29ms/step - loss: 0.8330 - acc: 0.8057 - val_loss: 0.7491 - val_acc: 0.8317 Epoch 117/5000 14s 29ms/step - loss: 0.8215 - acc: 0.8074 - val_loss: 0.7496 - val_acc: 0.8365 Epoch 118/5000 14s 29ms/step - loss: 0.8276 - acc: 0.8073 - val_loss: 0.7538 - val_acc: 0.8362 Epoch 119/5000 14s 29ms/step - loss: 0.8291 - acc: 0.8069 - val_loss: 0.7536 - val_acc: 0.8353 Epoch 120/5000 14s 29ms/step - loss: 0.8283 - acc: 0.8057 - val_loss: 0.7564 - val_acc: 0.8338 Epoch 121/5000 14s 29ms/step - loss: 0.8248 - acc: 0.8079 - val_loss: 0.7387 - val_acc: 0.8420 Epoch 122/5000 14s 29ms/step - loss: 0.8241 - acc: 0.8077 - val_loss: 0.7784 - val_acc: 0.8272 Epoch 123/5000 14s 29ms/step - loss: 0.8257 - acc: 0.8077 - val_loss: 0.7649 - val_acc: 0.8289 Epoch 124/5000 14s 29ms/step - loss: 0.8194 - acc: 0.8097 - val_loss: 0.7383 - val_acc: 0.8386 Epoch 125/5000 14s 29ms/step - loss: 0.8246 - acc: 0.8063 - val_loss: 0.7556 - val_acc: 0.8373 Epoch 126/5000 14s 29ms/step - loss: 0.8253 - acc: 0.8072 - val_loss: 0.7366 - val_acc: 0.8380 Epoch 127/5000 14s 29ms/step - loss: 0.8204 - acc: 0.8103 - val_loss: 0.7359 - val_acc: 0.8400 Epoch 128/5000 14s 29ms/step - loss: 0.8223 - acc: 0.8089 - val_loss: 0.7587 - val_acc: 0.8358 Epoch 129/5000 14s 29ms/step - loss: 0.8210 - acc: 0.8077 - val_loss: 0.7663 - val_acc: 0.8323 Epoch 130/5000 14s 28ms/step - loss: 0.8232 - acc: 0.8083 - val_loss: 0.7408 - val_acc: 0.8400 Epoch 131/5000 14s 29ms/step - loss: 0.8270 - acc: 0.8074 - val_loss: 0.7589 - val_acc: 0.8339 Epoch 132/5000 14s 29ms/step - loss: 0.8245 - acc: 0.8106 - val_loss: 0.7649 - val_acc: 0.8324 Epoch 133/5000 14s 29ms/step - loss: 0.8216 - acc: 0.8092 - val_loss: 0.7717 - val_acc: 0.8322 Epoch 134/5000 14s 29ms/step - loss: 0.8218 - acc: 0.8099 - val_loss: 0.7480 - val_acc: 0.8341 Epoch 135/5000 14s 29ms/step - loss: 0.8220 - acc: 0.8093 - val_loss: 0.7613 - val_acc: 0.8310 Epoch 136/5000 14s 29ms/step - loss: 0.8208 - acc: 0.8096 - val_loss: 0.7516 - val_acc: 0.8367 Epoch 137/5000 14s 29ms/step - loss: 0.8132 - acc: 0.8130 - val_loss: 0.7599 - val_acc: 0.8323 Epoch 138/5000 14s 29ms/step - loss: 0.8183 - acc: 0.8109 - val_loss: 0.7543 - val_acc: 0.8345 Epoch 139/5000 14s 29ms/step - loss: 0.8213 - acc: 0.8090 - val_loss: 0.7256 - val_acc: 0.8475 Epoch 140/5000 14s 29ms/step - loss: 0.8207 - acc: 0.8094 - val_loss: 0.7671 - val_acc: 0.8319 Epoch 141/5000 14s 29ms/step - loss: 0.8181 - acc: 0.8129 - val_loss: 0.7379 - val_acc: 0.8425 Epoch 142/5000 14s 29ms/step - loss: 0.8168 - acc: 0.8102 - val_loss: 0.7349 - val_acc: 0.8420 Epoch 143/5000 14s 29ms/step - loss: 0.8204 - acc: 0.8106 - val_loss: 0.7240 - val_acc: 0.8473 Epoch 144/5000 14s 29ms/step - loss: 0.8152 - acc: 0.8119 - val_loss: 0.7530 - val_acc: 0.8353 Epoch 145/5000 14s 29ms/step - loss: 0.8173 - acc: 0.8134 - val_loss: 0.7306 - val_acc: 0.8451 Epoch 146/5000 14s 29ms/step - loss: 0.8162 - acc: 0.8130 - val_loss: 0.7702 - val_acc: 0.8250 Epoch 147/5000 14s 29ms/step - loss: 0.8133 - acc: 0.8126 - val_loss: 0.7580 - val_acc: 0.8365 Epoch 148/5000 14s 29ms/step - loss: 0.8170 - acc: 0.8108 - val_loss: 0.7546 - val_acc: 0.8344 Epoch 149/5000 14s 29ms/step - loss: 0.8143 - acc: 0.8109 - val_loss: 0.7413 - val_acc: 0.8371 Epoch 150/5000 14s 29ms/step - loss: 0.8168 - acc: 0.8106 - val_loss: 0.7591 - val_acc: 0.8348 Epoch 151/5000 14s 29ms/step - loss: 0.8184 - acc: 0.8087 - val_loss: 0.7205 - val_acc: 0.8462 Epoch 152/5000 14s 29ms/step - loss: 0.8173 - acc: 0.8111 - val_loss: 0.7353 - val_acc: 0.8407 Epoch 153/5000 14s 29ms/step - loss: 0.8132 - acc: 0.8144 - val_loss: 0.7446 - val_acc: 0.8339 Epoch 154/5000 14s 29ms/step - loss: 0.8166 - acc: 0.8106 - val_loss: 0.7216 - val_acc: 0.8496 Epoch 155/5000 14s 29ms/step - loss: 0.8203 - acc: 0.8103 - val_loss: 0.7505 - val_acc: 0.8340 Epoch 156/5000 14s 29ms/step - loss: 0.8138 - acc: 0.8115 - val_loss: 0.7481 - val_acc: 0.8363 Epoch 157/5000 14s 29ms/step - loss: 0.8158 - acc: 0.8109 - val_loss: 0.7553 - val_acc: 0.8353 Epoch 158/5000 14s 29ms/step - loss: 0.8133 - acc: 0.8131 - val_loss: 0.7236 - val_acc: 0.8460 Epoch 159/5000 14s 29ms/step - loss: 0.8155 - acc: 0.8104 - val_loss: 0.7323 - val_acc: 0.8432 Epoch 160/5000 14s 28ms/step - loss: 0.8107 - acc: 0.8135 - val_loss: 0.7567 - val_acc: 0.8351 Epoch 161/5000 14s 29ms/step - loss: 0.8114 - acc: 0.8138 - val_loss: 0.7379 - val_acc: 0.8399 Epoch 162/5000 14s 29ms/step - loss: 0.8095 - acc: 0.8148 - val_loss: 0.7653 - val_acc: 0.8350 Epoch 163/5000 14s 29ms/step - loss: 0.8136 - acc: 0.8132 - val_loss: 0.7310 - val_acc: 0.8416 Epoch 164/5000 14s 29ms/step - loss: 0.8074 - acc: 0.8149 - val_loss: 0.7142 - val_acc: 0.8510 Epoch 165/5000 14s 29ms/step - loss: 0.8148 - acc: 0.8118 - val_loss: 0.7520 - val_acc: 0.8398 Epoch 166/5000 14s 29ms/step - loss: 0.8153 - acc: 0.8122 - val_loss: 0.7357 - val_acc: 0.8398 Epoch 167/5000 14s 29ms/step - loss: 0.8086 - acc: 0.8139 - val_loss: 0.7406 - val_acc: 0.8405 Epoch 168/5000 14s 29ms/step - loss: 0.8110 - acc: 0.8135 - val_loss: 0.7361 - val_acc: 0.8427 Epoch 169/5000 14s 29ms/step - loss: 0.8107 - acc: 0.8130 - val_loss: 0.7491 - val_acc: 0.8362 Epoch 170/5000 14s 29ms/step - loss: 0.8105 - acc: 0.8130 - val_loss: 0.7632 - val_acc: 0.8316 Epoch 171/5000 14s 29ms/step - loss: 0.8125 - acc: 0.8145 - val_loss: 0.7676 - val_acc: 0.8293 Epoch 172/5000 14s 29ms/step - loss: 0.8102 - acc: 0.8146 - val_loss: 0.7597 - val_acc: 0.8353 Epoch 173/5000 14s 29ms/step - loss: 0.8098 - acc: 0.8125 - val_loss: 0.7485 - val_acc: 0.8389 Epoch 174/5000 14s 29ms/step - loss: 0.8108 - acc: 0.8131 - val_loss: 0.7655 - val_acc: 0.8329 Epoch 175/5000 14s 29ms/step - loss: 0.8066 - acc: 0.8166 - val_loss: 0.7373 - val_acc: 0.8422 Epoch 176/5000 14s 29ms/step - loss: 0.8074 - acc: 0.8133 - val_loss: 0.7478 - val_acc: 0.8356 Epoch 177/5000 14s 29ms/step - loss: 0.8065 - acc: 0.8154 - val_loss: 0.7594 - val_acc: 0.8379 Epoch 178/5000 14s 29ms/step - loss: 0.8104 - acc: 0.8150 - val_loss: 0.7273 - val_acc: 0.8477 Epoch 179/5000 14s 29ms/step - loss: 0.8053 - acc: 0.8162 - val_loss: 0.7233 - val_acc: 0.8457 Epoch 180/5000 14s 29ms/step - loss: 0.8067 - acc: 0.8153 - val_loss: 0.7389 - val_acc: 0.8433 Epoch 181/5000 14s 29ms/step - loss: 0.8089 - acc: 0.8153 - val_loss: 0.7563 - val_acc: 0.8371 Epoch 182/5000 14s 29ms/step - loss: 0.8097 - acc: 0.8143 - val_loss: 0.7127 - val_acc: 0.8539 Epoch 183/5000 14s 29ms/step - loss: 0.8092 - acc: 0.8155 - val_loss: 0.7457 - val_acc: 0.8378 Epoch 184/5000 14s 29ms/step - loss: 0.8085 - acc: 0.8138 - val_loss: 0.7481 - val_acc: 0.8390 Epoch 185/5000 14s 29ms/step - loss: 0.8130 - acc: 0.8125 - val_loss: 0.7404 - val_acc: 0.8399 Epoch 186/5000 14s 29ms/step - loss: 0.8106 - acc: 0.8137 - val_loss: 0.7346 - val_acc: 0.8386 Epoch 187/5000 14s 29ms/step - loss: 0.8029 - acc: 0.8188 - val_loss: 0.7304 - val_acc: 0.8427 Epoch 188/5000 14s 29ms/step - loss: 0.8038 - acc: 0.8168 - val_loss: 0.7381 - val_acc: 0.8420 Epoch 189/5000 14s 29ms/step - loss: 0.8064 - acc: 0.8163 - val_loss: 0.7607 - val_acc: 0.8323 Epoch 190/5000 14s 29ms/step - loss: 0.8120 - acc: 0.8136 - val_loss: 0.7491 - val_acc: 0.8408 Epoch 191/5000 14s 29ms/step - loss: 0.8080 - acc: 0.8159 - val_loss: 0.7317 - val_acc: 0.8477 Epoch 192/5000 14s 29ms/step - loss: 0.8058 - acc: 0.8151 - val_loss: 0.7431 - val_acc: 0.8367 Epoch 193/5000 14s 29ms/step - loss: 0.8114 - acc: 0.8142 - val_loss: 0.7348 - val_acc: 0.8399 Epoch 194/5000 14s 29ms/step - loss: 0.7997 - acc: 0.8172 - val_loss: 0.7295 - val_acc: 0.8434 Epoch 195/5000 14s 29ms/step - loss: 0.8110 - acc: 0.8143 - val_loss: 0.7138 - val_acc: 0.8516 Epoch 196/5000 14s 29ms/step - loss: 0.8069 - acc: 0.8127 - val_loss: 0.7544 - val_acc: 0.8377 Epoch 197/5000 14s 29ms/step - loss: 0.8031 - acc: 0.8177 - val_loss: 0.7436 - val_acc: 0.8442 Epoch 198/5000 14s 29ms/step - loss: 0.8027 - acc: 0.8170 - val_loss: 0.7417 - val_acc: 0.8372 Epoch 199/5000 14s 29ms/step - loss: 0.8024 - acc: 0.8155 - val_loss: 0.7525 - val_acc: 0.8345 Epoch 200/5000 14s 29ms/step - loss: 0.8033 - acc: 0.8170 - val_loss: 0.7385 - val_acc: 0.8423 Epoch 201/5000 14s 29ms/step - loss: 0.8066 - acc: 0.8155 - val_loss: 0.7318 - val_acc: 0.8452 Epoch 202/5000 14s 29ms/step - loss: 0.8076 - acc: 0.8165 - val_loss: 0.7371 - val_acc: 0.8439 Epoch 203/5000 14s 29ms/step - loss: 0.8030 - acc: 0.8166 - val_loss: 0.7295 - val_acc: 0.8447 Epoch 204/5000 14s 29ms/step - loss: 0.8019 - acc: 0.8164 - val_loss: 0.7153 - val_acc: 0.8485 Epoch 205/5000 14s 29ms/step - loss: 0.8073 - acc: 0.8142 - val_loss: 0.7385 - val_acc: 0.8428 Epoch 206/5000 14s 29ms/step - loss: 0.8034 - acc: 0.8164 - val_loss: 0.7435 - val_acc: 0.8428 Epoch 207/5000 14s 29ms/step - loss: 0.8040 - acc: 0.8167 - val_loss: 0.7462 - val_acc: 0.8398 Epoch 208/5000 14s 28ms/step - loss: 0.8017 - acc: 0.8141 - val_loss: 0.7423 - val_acc: 0.8387 Epoch 209/5000 14s 29ms/step - loss: 0.8069 - acc: 0.8141 - val_loss: 0.7276 - val_acc: 0.8446 Epoch 210/5000 14s 28ms/step - loss: 0.7999 - acc: 0.8182 - val_loss: 0.7280 - val_acc: 0.8451 Epoch 211/5000 14s 29ms/step - loss: 0.8038 - acc: 0.8173 - val_loss: 0.7510 - val_acc: 0.8375 Epoch 212/5000 14s 29ms/step - loss: 0.8054 - acc: 0.8154 - val_loss: 0.7397 - val_acc: 0.8402 Epoch 213/5000 14s 29ms/step - loss: 0.8063 - acc: 0.8174 - val_loss: 0.7352 - val_acc: 0.8399 Epoch 214/5000 14s 29ms/step - loss: 0.8059 - acc: 0.8167 - val_loss: 0.7599 - val_acc: 0.8330 Epoch 215/5000 14s 29ms/step - loss: 0.8095 - acc: 0.8139 - val_loss: 0.7212 - val_acc: 0.8494 Epoch 216/5000 14s 29ms/step - loss: 0.8039 - acc: 0.8165 - val_loss: 0.7612 - val_acc: 0.8321 Epoch 217/5000 14s 29ms/step - loss: 0.8084 - acc: 0.8142 - val_loss: 0.7265 - val_acc: 0.8488 Epoch 218/5000 14s 29ms/step - loss: 0.8024 - acc: 0.8164 - val_loss: 0.7552 - val_acc: 0.8385 Epoch 219/5000 14s 29ms/step - loss: 0.8067 - acc: 0.8140 - val_loss: 0.7338 - val_acc: 0.8453 Epoch 220/5000 14s 29ms/step - loss: 0.8021 - acc: 0.8185 - val_loss: 0.7373 - val_acc: 0.8473 Epoch 221/5000 14s 29ms/step - loss: 0.8006 - acc: 0.8187 - val_loss: 0.7413 - val_acc: 0.8401 Epoch 222/5000 14s 29ms/step - loss: 0.7987 - acc: 0.8192 - val_loss: 0.7323 - val_acc: 0.8426 Epoch 223/5000 14s 29ms/step - loss: 0.8001 - acc: 0.8177 - val_loss: 0.7311 - val_acc: 0.8450 Epoch 224/5000 14s 29ms/step - loss: 0.8025 - acc: 0.8179 - val_loss: 0.7417 - val_acc: 0.8415 Epoch 225/5000 14s 29ms/step - loss: 0.8026 - acc: 0.8182 - val_loss: 0.7238 - val_acc: 0.8520 Epoch 226/5000 14s 29ms/step - loss: 0.8008 - acc: 0.8174 - val_loss: 0.7348 - val_acc: 0.8471 Epoch 227/5000 14s 29ms/step - loss: 0.8020 - acc: 0.8173 - val_loss: 0.7414 - val_acc: 0.8392 Epoch 228/5000 14s 29ms/step - loss: 0.8049 - acc: 0.8159 - val_loss: 0.7642 - val_acc: 0.8351 Epoch 229/5000 14s 29ms/step - loss: 0.8000 - acc: 0.8202 - val_loss: 0.7448 - val_acc: 0.8428 Epoch 230/5000 14s 29ms/step - loss: 0.8026 - acc: 0.8165 - val_loss: 0.7576 - val_acc: 0.8365 Epoch 231/5000 14s 29ms/step - loss: 0.8023 - acc: 0.8173 - val_loss: 0.7490 - val_acc: 0.8394 Epoch 232/5000 14s 29ms/step - loss: 0.8002 - acc: 0.8186 - val_loss: 0.7445 - val_acc: 0.8411 Epoch 233/5000 14s 29ms/step - loss: 0.8010 - acc: 0.8179 - val_loss: 0.7350 - val_acc: 0.8431 Epoch 234/5000 14s 29ms/step - loss: 0.8057 - acc: 0.8156 - val_loss: 0.7372 - val_acc: 0.8453 Epoch 235/5000 14s 29ms/step - loss: 0.7973 - acc: 0.8185 - val_loss: 0.7230 - val_acc: 0.8490 Epoch 236/5000 14s 29ms/step - loss: 0.8048 - acc: 0.8169 - val_loss: 0.7283 - val_acc: 0.8421 Epoch 237/5000 14s 29ms/step - loss: 0.8001 - acc: 0.8179 - val_loss: 0.7345 - val_acc: 0.8444 Epoch 238/5000 14s 29ms/step - loss: 0.7995 - acc: 0.8173 - val_loss: 0.7595 - val_acc: 0.8340 Epoch 239/5000 14s 29ms/step - loss: 0.8022 - acc: 0.8173 - val_loss: 0.7389 - val_acc: 0.8398 Epoch 240/5000 14s 28ms/step - loss: 0.8003 - acc: 0.8181 - val_loss: 0.7388 - val_acc: 0.8429 Epoch 241/5000 14s 29ms/step - loss: 0.8006 - acc: 0.8187 - val_loss: 0.7415 - val_acc: 0.8413 Epoch 242/5000 14s 29ms/step - loss: 0.8020 - acc: 0.8167 - val_loss: 0.7296 - val_acc: 0.8506 Epoch 243/5000 14s 29ms/step - loss: 0.7966 - acc: 0.8192 - val_loss: 0.7433 - val_acc: 0.8383 Epoch 244/5000 14s 29ms/step - loss: 0.8014 - acc: 0.8186 - val_loss: 0.7347 - val_acc: 0.8423 Epoch 245/5000 14s 29ms/step - loss: 0.8037 - acc: 0.8164 - val_loss: 0.7479 - val_acc: 0.8413 Epoch 246/5000 14s 29ms/step - loss: 0.7996 - acc: 0.8185 - val_loss: 0.7393 - val_acc: 0.8413 Epoch 247/5000 14s 29ms/step - loss: 0.7986 - acc: 0.8198 - val_loss: 0.7266 - val_acc: 0.8473 Epoch 248/5000 14s 29ms/step - loss: 0.7990 - acc: 0.8187 - val_loss: 0.7422 - val_acc: 0.8415 Epoch 249/5000 14s 28ms/step - loss: 0.7970 - acc: 0.8193 - val_loss: 0.7325 - val_acc: 0.8450 Epoch 250/5000 14s 29ms/step - loss: 0.8014 - acc: 0.8166 - val_loss: 0.7342 - val_acc: 0.8443 Epoch 251/5000 14s 29ms/step - loss: 0.8032 - acc: 0.8176 - val_loss: 0.7330 - val_acc: 0.8453 Epoch 252/5000 14s 29ms/step - loss: 0.8051 - acc: 0.8161 - val_loss: 0.7535 - val_acc: 0.8367 Epoch 253/5000 14s 29ms/step - loss: 0.7980 - acc: 0.8211 - val_loss: 0.7217 - val_acc: 0.8507 Epoch 254/5000 14s 29ms/step - loss: 0.8033 - acc: 0.8163 - val_loss: 0.7390 - val_acc: 0.8423 Epoch 255/5000 14s 29ms/step - loss: 0.7991 - acc: 0.8179 - val_loss: 0.7291 - val_acc: 0.8468 Epoch 256/5000 14s 29ms/step - loss: 0.7978 - acc: 0.8189 - val_loss: 0.7384 - val_acc: 0.8454 Epoch 257/5000 14s 29ms/step - loss: 0.7993 - acc: 0.8190 - val_loss: 0.7049 - val_acc: 0.8536 Epoch 258/5000 14s 29ms/step - loss: 0.8019 - acc: 0.8183 - val_loss: 0.7616 - val_acc: 0.8394 Epoch 259/5000 14s 29ms/step - loss: 0.7873 - acc: 0.8211 - val_loss: 0.7415 - val_acc: 0.8396 Epoch 260/5000 14s 29ms/step - loss: 0.8046 - acc: 0.8170 - val_loss: 0.7395 - val_acc: 0.8447 Epoch 261/5000 14s 29ms/step - loss: 0.8046 - acc: 0.8175 - val_loss: 0.7319 - val_acc: 0.8470 Epoch 262/5000 14s 29ms/step - loss: 0.7945 - acc: 0.8204 - val_loss: 0.7372 - val_acc: 0.8398 Epoch 263/5000 14s 29ms/step - loss: 0.7995 - acc: 0.8181 - val_loss: 0.7467 - val_acc: 0.8421 Epoch 264/5000 14s 29ms/step - loss: 0.8025 - acc: 0.8168 - val_loss: 0.7216 - val_acc: 0.8483 Epoch 265/5000 14s 29ms/step - loss: 0.8051 - acc: 0.8167 - val_loss: 0.7334 - val_acc: 0.8440 Epoch 266/5000 14s 29ms/step - loss: 0.7917 - acc: 0.8221 - val_loss: 0.7452 - val_acc: 0.8417 Epoch 267/5000 14s 29ms/step - loss: 0.8009 - acc: 0.8181 - val_loss: 0.7270 - val_acc: 0.8465 Epoch 268/5000 14s 29ms/step - loss: 0.7983 - acc: 0.8188 - val_loss: 0.7242 - val_acc: 0.8477 Epoch 269/5000 14s 29ms/step - loss: 0.8044 - acc: 0.8162 - val_loss: 0.7402 - val_acc: 0.8418 Epoch 270/5000 14s 29ms/step - loss: 0.7993 - acc: 0.8196 - val_loss: 0.7411 - val_acc: 0.8402 Epoch 271/5000 14s 29ms/step - loss: 0.7981 - acc: 0.8188 - val_loss: 0.7554 - val_acc: 0.8427 Epoch 272/5000 14s 29ms/step - loss: 0.8031 - acc: 0.8176 - val_loss: 0.7506 - val_acc: 0.8383 Epoch 273/5000 14s 29ms/step - loss: 0.7973 - acc: 0.8203 - val_loss: 0.7229 - val_acc: 0.8523 Epoch 274/5000 14s 29ms/step - loss: 0.7960 - acc: 0.8208 - val_loss: 0.7330 - val_acc: 0.8437 Epoch 275/5000 14s 29ms/step - loss: 0.7953 - acc: 0.8189 - val_loss: 0.7349 - val_acc: 0.8428 Epoch 276/5000 14s 29ms/step - loss: 0.7989 - acc: 0.8173 - val_loss: 0.7498 - val_acc: 0.8386 Epoch 277/5000 14s 29ms/step - loss: 0.7967 - acc: 0.8187 - val_loss: 0.7153 - val_acc: 0.8524 Epoch 278/5000 14s 29ms/step - loss: 0.8038 - acc: 0.8175 - val_loss: 0.7033 - val_acc: 0.8495 Epoch 279/5000 14s 29ms/step - loss: 0.7964 - acc: 0.8188 - val_loss: 0.7159 - val_acc: 0.8529 Epoch 280/5000 14s 29ms/step - loss: 0.7979 - acc: 0.8176 - val_loss: 0.7406 - val_acc: 0.8419 Epoch 281/5000 14s 29ms/step - loss: 0.7985 - acc: 0.8196 - val_loss: 0.7250 - val_acc: 0.8493 Epoch 282/5000 14s 29ms/step - loss: 0.7990 - acc: 0.8180 - val_loss: 0.7351 - val_acc: 0.8448 Epoch 283/5000 14s 29ms/step - loss: 0.7967 - acc: 0.8202 - val_loss: 0.7554 - val_acc: 0.8332 Epoch 284/5000 14s 29ms/step - loss: 0.7939 - acc: 0.8195 - val_loss: 0.7553 - val_acc: 0.8359 Epoch 285/5000 14s 29ms/step - loss: 0.7956 - acc: 0.8200 - val_loss: 0.7495 - val_acc: 0.8414 Epoch 286/5000 14s 29ms/step - loss: 0.7963 - acc: 0.8196 - val_loss: 0.7406 - val_acc: 0.8407 Epoch 287/5000 14s 29ms/step - loss: 0.7997 - acc: 0.8182 - val_loss: 0.7359 - val_acc: 0.8465 Epoch 288/5000 14s 29ms/step - loss: 0.8016 - acc: 0.8190 - val_loss: 0.7220 - val_acc: 0.8503 Epoch 289/5000 14s 29ms/step - loss: 0.7904 - acc: 0.8218 - val_loss: 0.7447 - val_acc: 0.8406 Epoch 290/5000 14s 29ms/step - loss: 0.7960 - acc: 0.8202 - val_loss: 0.7467 - val_acc: 0.8413 Epoch 291/5000 14s 29ms/step - loss: 0.7978 - acc: 0.8166 - val_loss: 0.7273 - val_acc: 0.8470 Epoch 292/5000 14s 29ms/step - loss: 0.7970 - acc: 0.8189 - val_loss: 0.7307 - val_acc: 0.8446 Epoch 293/5000 14s 29ms/step - loss: 0.7947 - acc: 0.8213 - val_loss: 0.7372 - val_acc: 0.8441 Epoch 294/5000 14s 29ms/step - loss: 0.8029 - acc: 0.8165 - val_loss: 0.7397 - val_acc: 0.8418 Epoch 295/5000 14s 29ms/step - loss: 0.7929 - acc: 0.8225 - val_loss: 0.7531 - val_acc: 0.8365 Epoch 296/5000 14s 29ms/step - loss: 0.7954 - acc: 0.8206 - val_loss: 0.7608 - val_acc: 0.8379 Epoch 297/5000 14s 28ms/step - loss: 0.7976 - acc: 0.8192 - val_loss: 0.7340 - val_acc: 0.8435 Epoch 298/5000 14s 29ms/step - loss: 0.8002 - acc: 0.8187 - val_loss: 0.7608 - val_acc: 0.8385 Epoch 299/5000 14s 29ms/step - loss: 0.7967 - acc: 0.8202 - val_loss: 0.7556 - val_acc: 0.8365 Epoch 300/5000 14s 29ms/step - loss: 0.7997 - acc: 0.8189 - val_loss: 0.7509 - val_acc: 0.8359 Epoch 301/5000 14s 29ms/step - loss: 0.7992 - acc: 0.8174 - val_loss: 0.7490 - val_acc: 0.8382 Epoch 302/5000 14s 29ms/step - loss: 0.7948 - acc: 0.8189 - val_loss: 0.7200 - val_acc: 0.8464 Epoch 303/5000 14s 29ms/step - loss: 0.8011 - acc: 0.8174 - val_loss: 0.7219 - val_acc: 0.8461 Epoch 304/5000 14s 29ms/step - loss: 0.7958 - acc: 0.8189 - val_loss: 0.7125 - val_acc: 0.8468 Epoch 305/5000 14s 29ms/step - loss: 0.7948 - acc: 0.8195 - val_loss: 0.7306 - val_acc: 0.8474 Epoch 306/5000 14s 28ms/step - loss: 0.7944 - acc: 0.8199 - val_loss: 0.7371 - val_acc: 0.8416 Epoch 307/5000 14s 29ms/step - loss: 0.7984 - acc: 0.8180 - val_loss: 0.7553 - val_acc: 0.8365 Epoch 308/5000 14s 29ms/step - loss: 0.7956 - acc: 0.8188 - val_loss: 0.7314 - val_acc: 0.8473 Epoch 309/5000 14s 29ms/step - loss: 0.7971 - acc: 0.8196 - val_loss: 0.7239 - val_acc: 0.8480 Epoch 310/5000 14s 29ms/step - loss: 0.7992 - acc: 0.8191 - val_loss: 0.7504 - val_acc: 0.8386 Epoch 311/5000 14s 29ms/step - loss: 0.7944 - acc: 0.8205 - val_loss: 0.7498 - val_acc: 0.8404 Epoch 312/5000 14s 29ms/step - loss: 0.7981 - acc: 0.8189 - val_loss: 0.7105 - val_acc: 0.8538 Epoch 313/5000 14s 29ms/step - loss: 0.7945 - acc: 0.8174 - val_loss: 0.7346 - val_acc: 0.8420 Epoch 314/5000 14s 29ms/step - loss: 0.7931 - acc: 0.8211 - val_loss: 0.7239 - val_acc: 0.8466 Epoch 315/5000 14s 29ms/step - loss: 0.8007 - acc: 0.8165 - val_loss: 0.7138 - val_acc: 0.8538 Epoch 316/5000 14s 29ms/step - loss: 0.7945 - acc: 0.8197 - val_loss: 0.7384 - val_acc: 0.8391 Epoch 317/5000 14s 29ms/step - loss: 0.7965 - acc: 0.8194 - val_loss: 0.7387 - val_acc: 0.8435 Epoch 318/5000 14s 29ms/step - loss: 0.7902 - acc: 0.8209 - val_loss: 0.7217 - val_acc: 0.8466 Epoch 319/5000 14s 29ms/step - loss: 0.7971 - acc: 0.8185 - val_loss: 0.7375 - val_acc: 0.8441 Epoch 320/5000 14s 29ms/step - loss: 0.7907 - acc: 0.8205 - val_loss: 0.7366 - val_acc: 0.8443 Epoch 321/5000 14s 29ms/step - loss: 0.7930 - acc: 0.8202 - val_loss: 0.7164 - val_acc: 0.8515 Epoch 322/5000 14s 28ms/step - loss: 0.7977 - acc: 0.8173 - val_loss: 0.7203 - val_acc: 0.8499 Epoch 323/5000 14s 29ms/step - loss: 0.7979 - acc: 0.8202 - val_loss: 0.7311 - val_acc: 0.8426 Epoch 324/5000 14s 28ms/step - loss: 0.7901 - acc: 0.8228 - val_loss: 0.7180 - val_acc: 0.8500 Epoch 325/5000 14s 28ms/step - loss: 0.7986 - acc: 0.8189 - val_loss: 0.7442 - val_acc: 0.8402 Epoch 326/5000 14s 28ms/step - loss: 0.7940 - acc: 0.8197 - val_loss: 0.7268 - val_acc: 0.8464 Epoch 327/5000 14s 28ms/step - loss: 0.7939 - acc: 0.8206 - val_loss: 0.7613 - val_acc: 0.8336 Epoch 328/5000 14s 28ms/step - loss: 0.7937 - acc: 0.8206 - val_loss: 0.7193 - val_acc: 0.8493 Epoch 329/5000 14s 28ms/step - loss: 0.7936 - acc: 0.8207 - val_loss: 0.7299 - val_acc: 0.8428 Epoch 330/5000 14s 28ms/step - loss: 0.7907 - acc: 0.8213 - val_loss: 0.7597 - val_acc: 0.8321 Epoch 331/5000 14s 28ms/step - loss: 0.7921 - acc: 0.8224 - val_loss: 0.7331 - val_acc: 0.8466 Epoch 332/5000 14s 28ms/step - loss: 0.7991 - acc: 0.8168 - val_loss: 0.7172 - val_acc: 0.8512 Epoch 333/5000 14s 28ms/step - loss: 0.7886 - acc: 0.8222 - val_loss: 0.7147 - val_acc: 0.8478 Epoch 334/5000 14s 28ms/step - loss: 0.7889 - acc: 0.8206 - val_loss: 0.7311 - val_acc: 0.8420 Epoch 335/5000 14s 28ms/step - loss: 0.7922 - acc: 0.8206 - val_loss: 0.7256 - val_acc: 0.8435 Epoch 336/5000 14s 28ms/step - loss: 0.7888 - acc: 0.8229 - val_loss: 0.7329 - val_acc: 0.8477 Epoch 337/5000 14s 28ms/step - loss: 0.7970 - acc: 0.8211 - val_loss: 0.7333 - val_acc: 0.8404 Epoch 338/5000 14s 28ms/step - loss: 0.7903 - acc: 0.8204 - val_loss: 0.7601 - val_acc: 0.8351 Epoch 339/5000 14s 28ms/step - loss: 0.7947 - acc: 0.8192 - val_loss: 0.7236 - val_acc: 0.8472 Epoch 340/5000 14s 28ms/step - loss: 0.7905 - acc: 0.8211 - val_loss: 0.7479 - val_acc: 0.8351 Epoch 341/5000 14s 28ms/step - loss: 0.7978 - acc: 0.8191 - val_loss: 0.7375 - val_acc: 0.8371 Epoch 342/5000 14s 28ms/step - loss: 0.7980 - acc: 0.8191 - val_loss: 0.7290 - val_acc: 0.8463 Epoch 343/5000 14s 28ms/step - loss: 0.7875 - acc: 0.8223 - val_loss: 0.7219 - val_acc: 0.8481 Epoch 344/5000 14s 28ms/step - loss: 0.7920 - acc: 0.8197 - val_loss: 0.7331 - val_acc: 0.8434 Epoch 345/5000 14s 28ms/step - loss: 0.7907 - acc: 0.8215 - val_loss: 0.7237 - val_acc: 0.8506 Epoch 346/5000 14s 28ms/step - loss: 0.7927 - acc: 0.8216 - val_loss: 0.7544 - val_acc: 0.8385 Epoch 347/5000 14s 28ms/step - loss: 0.8009 - acc: 0.8174 - val_loss: 0.7244 - val_acc: 0.8504 Epoch 348/5000 14s 28ms/step - loss: 0.7926 - acc: 0.8208 - val_loss: 0.7503 - val_acc: 0.8392 Epoch 349/5000 14s 28ms/step - loss: 0.7914 - acc: 0.8201 - val_loss: 0.7273 - val_acc: 0.8461 Epoch 350/5000 14s 28ms/step - loss: 0.7978 - acc: 0.8197 - val_loss: 0.7437 - val_acc: 0.8408 Epoch 351/5000 14s 28ms/step - loss: 0.7884 - acc: 0.8216 - val_loss: 0.7357 - val_acc: 0.8435 Epoch 352/5000 14s 28ms/step - loss: 0.7922 - acc: 0.8221 - val_loss: 0.7278 - val_acc: 0.8448 Epoch 353/5000 14s 28ms/step - loss: 0.7969 - acc: 0.8208 - val_loss: 0.7199 - val_acc: 0.8532 Epoch 354/5000 14s 28ms/step - loss: 0.7901 - acc: 0.8213 - val_loss: 0.7201 - val_acc: 0.8485 Epoch 355/5000 14s 28ms/step - loss: 0.7930 - acc: 0.8202 - val_loss: 0.7350 - val_acc: 0.8417 Epoch 356/5000 14s 28ms/step - loss: 0.7958 - acc: 0.8182 - val_loss: 0.7275 - val_acc: 0.8467 Epoch 357/5000 14s 28ms/step - loss: 0.7976 - acc: 0.8185 - val_loss: 0.7361 - val_acc: 0.8433 Epoch 358/5000 14s 28ms/step - loss: 0.7973 - acc: 0.8185 - val_loss: 0.7140 - val_acc: 0.8525 Epoch 359/5000 14s 28ms/step - loss: 0.7891 - acc: 0.8223 - val_loss: 0.7193 - val_acc: 0.8508 Epoch 360/5000 14s 28ms/step - loss: 0.7976 - acc: 0.8185 - val_loss: 0.7289 - val_acc: 0.8430 Epoch 361/5000 14s 28ms/step - loss: 0.7961 - acc: 0.8191 - val_loss: 0.7136 - val_acc: 0.8493 Epoch 362/5000 14s 28ms/step - loss: 0.7894 - acc: 0.8230 - val_loss: 0.7322 - val_acc: 0.8431 Epoch 363/5000 14s 28ms/step - loss: 0.7949 - acc: 0.8200 - val_loss: 0.7290 - val_acc: 0.8424 Epoch 364/5000 14s 28ms/step - loss: 0.7907 - acc: 0.8215 - val_loss: 0.7415 - val_acc: 0.8382 Epoch 365/5000 14s 28ms/step - loss: 0.7963 - acc: 0.8205 - val_loss: 0.7449 - val_acc: 0.8414 Epoch 366/5000 14s 28ms/step - loss: 0.7946 - acc: 0.8187 - val_loss: 0.7290 - val_acc: 0.8438 Epoch 367/5000 14s 28ms/step - loss: 0.7922 - acc: 0.8196 - val_loss: 0.7456 - val_acc: 0.8402 Epoch 368/5000 14s 28ms/step - loss: 0.7924 - acc: 0.8212 - val_loss: 0.7350 - val_acc: 0.8431 Epoch 369/5000 14s 28ms/step - loss: 0.7904 - acc: 0.8225 - val_loss: 0.7435 - val_acc: 0.8407 Epoch 370/5000 14s 28ms/step - loss: 0.7904 - acc: 0.8201 - val_loss: 0.7368 - val_acc: 0.8451 Epoch 371/5000 14s 28ms/step - loss: 0.7915 - acc: 0.8201 - val_loss: 0.7398 - val_acc: 0.8435 Epoch 372/5000 14s 28ms/step - loss: 0.7902 - acc: 0.8204 - val_loss: 0.7211 - val_acc: 0.8507 Epoch 373/5000 14s 28ms/step - loss: 0.7905 - acc: 0.8222 - val_loss: 0.7466 - val_acc: 0.8392 Epoch 374/5000 14s 28ms/step - loss: 0.7921 - acc: 0.8207 - val_loss: 0.7133 - val_acc: 0.8524 Epoch 375/5000 14s 28ms/step - loss: 0.7918 - acc: 0.8197 - val_loss: 0.7360 - val_acc: 0.8447 Epoch 376/5000 14s 28ms/step - loss: 0.7918 - acc: 0.8212 - val_loss: 0.7277 - val_acc: 0.8419 Epoch 377/5000 14s 28ms/step - loss: 0.7995 - acc: 0.8188 - val_loss: 0.7595 - val_acc: 0.8342 Epoch 378/5000 14s 28ms/step - loss: 0.7909 - acc: 0.8231 - val_loss: 0.7525 - val_acc: 0.8391 Epoch 379/5000 14s 28ms/step - loss: 0.7995 - acc: 0.8197 - val_loss: 0.7502 - val_acc: 0.8383 Epoch 380/5000 14s 28ms/step - loss: 0.7931 - acc: 0.8203 - val_loss: 0.7302 - val_acc: 0.8459 Epoch 381/5000 14s 28ms/step - loss: 0.7938 - acc: 0.8186 - val_loss: 0.7347 - val_acc: 0.8438 Epoch 382/5000 14s 28ms/step - loss: 0.7904 - acc: 0.8204 - val_loss: 0.7291 - val_acc: 0.8467 Epoch 383/5000 14s 28ms/step - loss: 0.7924 - acc: 0.8201 - val_loss: 0.7319 - val_acc: 0.8465 Epoch 384/5000 14s 28ms/step - loss: 0.7920 - acc: 0.8198 - val_loss: 0.7269 - val_acc: 0.8454 Epoch 385/5000 14s 28ms/step - loss: 0.7903 - acc: 0.8208 - val_loss: 0.7381 - val_acc: 0.8439 Epoch 386/5000 14s 28ms/step - loss: 0.7938 - acc: 0.8200 - val_loss: 0.7326 - val_acc: 0.8470 Epoch 387/5000 14s 28ms/step - loss: 0.7996 - acc: 0.8176 - val_loss: 0.7418 - val_acc: 0.8432 Epoch 388/5000 14s 28ms/step - loss: 0.7919 - acc: 0.8210 - val_loss: 0.7385 - val_acc: 0.8442 Epoch 389/5000 14s 28ms/step - loss: 0.7910 - acc: 0.8222 - val_loss: 0.7606 - val_acc: 0.8359 Epoch 390/5000 14s 28ms/step - loss: 0.7888 - acc: 0.8210 - val_loss: 0.7250 - val_acc: 0.8486 Epoch 391/5000 14s 28ms/step - loss: 0.7941 - acc: 0.8207 - val_loss: 0.7276 - val_acc: 0.8479 Epoch 392/5000 14s 28ms/step - loss: 0.7938 - acc: 0.8227 - val_loss: 0.7232 - val_acc: 0.8474 Epoch 393/5000 14s 28ms/step - loss: 0.7924 - acc: 0.8221 - val_loss: 0.7188 - val_acc: 0.8483 Epoch 394/5000 14s 28ms/step - loss: 0.7929 - acc: 0.8206 - val_loss: 0.7263 - val_acc: 0.8444 Epoch 395/5000 14s 28ms/step - loss: 0.7942 - acc: 0.8200 - val_loss: 0.7290 - val_acc: 0.8470 Epoch 396/5000 14s 28ms/step - loss: 0.7892 - acc: 0.8214 - val_loss: 0.7212 - val_acc: 0.8483 Epoch 397/5000 14s 28ms/step - loss: 0.7952 - acc: 0.8198 - val_loss: 0.7321 - val_acc: 0.8444 Epoch 398/5000 14s 28ms/step - loss: 0.7909 - acc: 0.8211 - val_loss: 0.7210 - val_acc: 0.8502 Epoch 399/5000 14s 28ms/step - loss: 0.7910 - acc: 0.8225 - val_loss: 0.7176 - val_acc: 0.8494 Epoch 400/5000 14s 28ms/step - loss: 0.7897 - acc: 0.8221 - val_loss: 0.7578 - val_acc: 0.8376 Epoch 401/5000 14s 28ms/step - loss: 0.7904 - acc: 0.8206 - val_loss: 0.7290 - val_acc: 0.8439 Epoch 402/5000 14s 28ms/step - loss: 0.7891 - acc: 0.8223 - val_loss: 0.7578 - val_acc: 0.8383 Epoch 403/5000 14s 28ms/step - loss: 0.7936 - acc: 0.8205 - val_loss: 0.7260 - val_acc: 0.8485 Epoch 404/5000 14s 28ms/step - loss: 0.7900 - acc: 0.8223 - val_loss: 0.7307 - val_acc: 0.8440 Epoch 405/5000 14s 28ms/step - loss: 0.7905 - acc: 0.8224 - val_loss: 0.7157 - val_acc: 0.8538 Epoch 406/5000 14s 28ms/step - loss: 0.7924 - acc: 0.8204 - val_loss: 0.7455 - val_acc: 0.8410 Epoch 407/5000 14s 28ms/step - loss: 0.7914 - acc: 0.8210 - val_loss: 0.7252 - val_acc: 0.8449 Epoch 408/5000 14s 28ms/step - loss: 0.7904 - acc: 0.8211 - val_loss: 0.7389 - val_acc: 0.8446 Epoch 409/5000 14s 28ms/step - loss: 0.7898 - acc: 0.8221 - val_loss: 0.7590 - val_acc: 0.8375 Epoch 410/5000 14s 28ms/step - loss: 0.7895 - acc: 0.8213 - val_loss: 0.7298 - val_acc: 0.8470 Epoch 411/5000 14s 28ms/step - loss: 0.7901 - acc: 0.8213 - val_loss: 0.7164 - val_acc: 0.8469 Epoch 412/5000 14s 28ms/step - loss: 0.7929 - acc: 0.8205 - val_loss: 0.7126 - val_acc: 0.8477 Epoch 413/5000 14s 28ms/step - loss: 0.7890 - acc: 0.8224 - val_loss: 0.7402 - val_acc: 0.8397 Epoch 414/5000 14s 28ms/step - loss: 0.7907 - acc: 0.8228 - val_loss: 0.7410 - val_acc: 0.8394 Epoch 415/5000 14s 28ms/step - loss: 0.7911 - acc: 0.8223 - val_loss: 0.7331 - val_acc: 0.8456 Epoch 416/5000 14s 28ms/step - loss: 0.7876 - acc: 0.8224 - val_loss: 0.7213 - val_acc: 0.8435 Epoch 417/5000 14s 28ms/step - loss: 0.7891 - acc: 0.8232 - val_loss: 0.7221 - val_acc: 0.8477 Epoch 418/5000 14s 28ms/step - loss: 0.7876 - acc: 0.8221 - val_loss: 0.7295 - val_acc: 0.8458 Epoch 419/5000 14s 28ms/step - loss: 0.7936 - acc: 0.8189 - val_loss: 0.7259 - val_acc: 0.8460 Epoch 420/5000 14s 28ms/step - loss: 0.7862 - acc: 0.8225 - val_loss: 0.7266 - val_acc: 0.8442 Epoch 421/5000 14s 28ms/step - loss: 0.7924 - acc: 0.8206 - val_loss: 0.7199 - val_acc: 0.8494 Epoch 422/5000 14s 28ms/step - loss: 0.7884 - acc: 0.8220 - val_loss: 0.7452 - val_acc: 0.8402 Epoch 423/5000 14s 28ms/step - loss: 0.7850 - acc: 0.8234 - val_loss: 0.7295 - val_acc: 0.8463 Epoch 424/5000 14s 28ms/step - loss: 0.7922 - acc: 0.8216 - val_loss: 0.7228 - val_acc: 0.8471 Epoch 425/5000 14s 28ms/step - loss: 0.7883 - acc: 0.8232 - val_loss: 0.7336 - val_acc: 0.8414 Epoch 426/5000 14s 28ms/step - loss: 0.7896 - acc: 0.8229 - val_loss: 0.7173 - val_acc: 0.8472 Epoch 427/5000 14s 28ms/step - loss: 0.7887 - acc: 0.8226 - val_loss: 0.7450 - val_acc: 0.8411 Epoch 428/5000 14s 28ms/step - loss: 0.7873 - acc: 0.8229 - val_loss: 0.7104 - val_acc: 0.8527 Epoch 429/5000 14s 28ms/step - loss: 0.7910 - acc: 0.8210 - val_loss: 0.7176 - val_acc: 0.8502 Epoch 430/5000 14s 28ms/step - loss: 0.7899 - acc: 0.8228 - val_loss: 0.7041 - val_acc: 0.8512 Epoch 431/5000 14s 28ms/step - loss: 0.7932 - acc: 0.8209 - val_loss: 0.7444 - val_acc: 0.8388 Epoch 432/5000 14s 28ms/step - loss: 0.7903 - acc: 0.8212 - val_loss: 0.7429 - val_acc: 0.8387 Epoch 433/5000 14s 28ms/step - loss: 0.7889 - acc: 0.8205 - val_loss: 0.7196 - val_acc: 0.8468 Epoch 434/5000 14s 28ms/step - loss: 0.7919 - acc: 0.8215 - val_loss: 0.7182 - val_acc: 0.8461 Epoch 435/5000 14s 28ms/step - loss: 0.7884 - acc: 0.8225 - val_loss: 0.7478 - val_acc: 0.8383 Epoch 436/5000 14s 28ms/step - loss: 0.7883 - acc: 0.8211 - val_loss: 0.7398 - val_acc: 0.8368 Epoch 437/5000 14s 28ms/step - loss: 0.7931 - acc: 0.8218 - val_loss: 0.7214 - val_acc: 0.8503 Epoch 438/5000 14s 28ms/step - loss: 0.7857 - acc: 0.8221 - val_loss: 0.7163 - val_acc: 0.8506 Epoch 439/5000 14s 28ms/step - loss: 0.7959 - acc: 0.8191 - val_loss: 0.7325 - val_acc: 0.8458 Epoch 440/5000 14s 28ms/step - loss: 0.7860 - acc: 0.8241 - val_loss: 0.7304 - val_acc: 0.8426 Epoch 441/5000 14s 28ms/step - loss: 0.7884 - acc: 0.8219 - val_loss: 0.7270 - val_acc: 0.8468 Epoch 442/5000 14s 28ms/step - loss: 0.7876 - acc: 0.8241 - val_loss: 0.7499 - val_acc: 0.8387 Epoch 443/5000 14s 28ms/step - loss: 0.7900 - acc: 0.8225 - val_loss: 0.7243 - val_acc: 0.8492 Epoch 444/5000 14s 28ms/step - loss: 0.7920 - acc: 0.8202 - val_loss: 0.7360 - val_acc: 0.8463 Epoch 445/5000 14s 28ms/step - loss: 0.7891 - acc: 0.8220 - val_loss: 0.7233 - val_acc: 0.8460 Epoch 446/5000 14s 28ms/step - loss: 0.7907 - acc: 0.8210 - val_loss: 0.7301 - val_acc: 0.8492 Epoch 447/5000 14s 28ms/step - loss: 0.7890 - acc: 0.8217 - val_loss: 0.7263 - val_acc: 0.8480 Epoch 448/5000 14s 28ms/step - loss: 0.7910 - acc: 0.8212 - val_loss: 0.7444 - val_acc: 0.8442 Epoch 449/5000 14s 28ms/step - loss: 0.7863 - acc: 0.8256 - val_loss: 0.7507 - val_acc: 0.8372 Epoch 450/5000 14s 28ms/step - loss: 0.7901 - acc: 0.8216 - val_loss: 0.7289 - val_acc: 0.8479 Epoch 451/5000 14s 28ms/step - loss: 0.7904 - acc: 0.8198 - val_loss: 0.7432 - val_acc: 0.8443 Epoch 452/5000 14s 28ms/step - loss: 0.7868 - acc: 0.8231 - val_loss: 0.7074 - val_acc: 0.8512 Epoch 453/5000 14s 28ms/step - loss: 0.7912 - acc: 0.8216 - val_loss: 0.7367 - val_acc: 0.8429 Epoch 454/5000 14s 28ms/step - loss: 0.7901 - acc: 0.8209 - val_loss: 0.7404 - val_acc: 0.8444 Epoch 455/5000 14s 28ms/step - loss: 0.7900 - acc: 0.8216 - val_loss: 0.7532 - val_acc: 0.8371 Epoch 456/5000 14s 28ms/step - loss: 0.7945 - acc: 0.8216 - val_loss: 0.7233 - val_acc: 0.8476 Epoch 457/5000 14s 28ms/step - loss: 0.7873 - acc: 0.8219 - val_loss: 0.7322 - val_acc: 0.8479 Epoch 458/5000 14s 28ms/step - loss: 0.7911 - acc: 0.8216 - val_loss: 0.7216 - val_acc: 0.8473 Epoch 459/5000 14s 28ms/step - loss: 0.7859 - acc: 0.8239 - val_loss: 0.7413 - val_acc: 0.8408 Epoch 460/5000 14s 28ms/step - loss: 0.7908 - acc: 0.8234 - val_loss: 0.7384 - val_acc: 0.8421 Epoch 461/5000 14s 28ms/step - loss: 0.7903 - acc: 0.8220 - val_loss: 0.7488 - val_acc: 0.8379 Epoch 462/5000 14s 28ms/step - loss: 0.7907 - acc: 0.8207 - val_loss: 0.7564 - val_acc: 0.8356 Epoch 463/5000 14s 28ms/step - loss: 0.7887 - acc: 0.8233 - val_loss: 0.7222 - val_acc: 0.8477 Epoch 464/5000 14s 28ms/step - loss: 0.7901 - acc: 0.8209 - val_loss: 0.7183 - val_acc: 0.8469 Epoch 465/5000 14s 28ms/step - loss: 0.7875 - acc: 0.8222 - val_loss: 0.7285 - val_acc: 0.8433 Epoch 466/5000 14s 28ms/step - loss: 0.7909 - acc: 0.8233 - val_loss: 0.7222 - val_acc: 0.8454 Epoch 467/5000 14s 28ms/step - loss: 0.7908 - acc: 0.8203 - val_loss: 0.7051 - val_acc: 0.8548 Epoch 468/5000 14s 28ms/step - loss: 0.7864 - acc: 0.8235 - val_loss: 0.7249 - val_acc: 0.8445 Epoch 469/5000 14s 28ms/step - loss: 0.7920 - acc: 0.8228 - val_loss: 0.7553 - val_acc: 0.8373 Epoch 470/5000 14s 28ms/step - loss: 0.7959 - acc: 0.8195 - val_loss: 0.7188 - val_acc: 0.8507 Epoch 471/5000 14s 28ms/step - loss: 0.7868 - acc: 0.8243 - val_loss: 0.7258 - val_acc: 0.8472 Epoch 472/5000 14s 28ms/step - loss: 0.7887 - acc: 0.8218 - val_loss: 0.7247 - val_acc: 0.8494 Epoch 473/5000 14s 28ms/step - loss: 0.7964 - acc: 0.8196 - val_loss: 0.7377 - val_acc: 0.8425 Epoch 474/5000 14s 28ms/step - loss: 0.7911 - acc: 0.8215 - val_loss: 0.7329 - val_acc: 0.8460 Epoch 475/5000 14s 28ms/step - loss: 0.7885 - acc: 0.8232 - val_loss: 0.7323 - val_acc: 0.8441 Epoch 476/5000 14s 28ms/step - loss: 0.7883 - acc: 0.8214 - val_loss: 0.7275 - val_acc: 0.8470 Epoch 477/5000 14s 28ms/step - loss: 0.7927 - acc: 0.8211 - val_loss: 0.7213 - val_acc: 0.8468 Epoch 478/5000 14s 28ms/step - loss: 0.7934 - acc: 0.8202 - val_loss: 0.7472 - val_acc: 0.8424 Epoch 479/5000 14s 28ms/step - loss: 0.7884 - acc: 0.8221 - val_loss: 0.7224 - val_acc: 0.8495 Epoch 480/5000 14s 28ms/step - loss: 0.7911 - acc: 0.8218 - val_loss: 0.7194 - val_acc: 0.8493 Epoch 481/5000 14s 28ms/step - loss: 0.7887 - acc: 0.8228 - val_loss: 0.7405 - val_acc: 0.8413 Epoch 482/5000 14s 28ms/step - loss: 0.7872 - acc: 0.8229 - val_loss: 0.7193 - val_acc: 0.8468 Epoch 483/5000 14s 28ms/step - loss: 0.7890 - acc: 0.8224 - val_loss: 0.7088 - val_acc: 0.8524 Epoch 484/5000 14s 28ms/step - loss: 0.7928 - acc: 0.8222 - val_loss: 0.7363 - val_acc: 0.8437 Epoch 485/5000 14s 28ms/step - loss: 0.7908 - acc: 0.8238 - val_loss: 0.7479 - val_acc: 0.8398 Epoch 486/5000 14s 28ms/step - loss: 0.7902 - acc: 0.8220 - val_loss: 0.7529 - val_acc: 0.8367 Epoch 487/5000 14s 28ms/step - loss: 0.7874 - acc: 0.8229 - val_loss: 0.7374 - val_acc: 0.8395 Epoch 488/5000 14s 28ms/step - loss: 0.7864 - acc: 0.8242 - val_loss: 0.7204 - val_acc: 0.8461 Epoch 489/5000 14s 28ms/step - loss: 0.7881 - acc: 0.8236 - val_loss: 0.7274 - val_acc: 0.8433 Epoch 490/5000 14s 28ms/step - loss: 0.7855 - acc: 0.8233 - val_loss: 0.7439 - val_acc: 0.8386 Epoch 491/5000 14s 28ms/step - loss: 0.7899 - acc: 0.8224 - val_loss: 0.7493 - val_acc: 0.8353 Epoch 492/5000 14s 28ms/step - loss: 0.7900 - acc: 0.8215 - val_loss: 0.7421 - val_acc: 0.8364 Epoch 493/5000 14s 28ms/step - loss: 0.7858 - acc: 0.8228 - val_loss: 0.7262 - val_acc: 0.8469 Epoch 494/5000 14s 28ms/step - loss: 0.7847 - acc: 0.8226 - val_loss: 0.7126 - val_acc: 0.8469 Epoch 495/5000 14s 28ms/step - loss: 0.7911 - acc: 0.8192 - val_loss: 0.7356 - val_acc: 0.8420 Epoch 496/5000 14s 28ms/step - loss: 0.7879 - acc: 0.8237 - val_loss: 0.7354 - val_acc: 0.8454 Epoch 497/5000 14s 28ms/step - loss: 0.7880 - acc: 0.8245 - val_loss: 0.7111 - val_acc: 0.8521 Epoch 498/5000 14s 28ms/step - loss: 0.7895 - acc: 0.8208 - val_loss: 0.7249 - val_acc: 0.8466 Epoch 499/5000 14s 28ms/step - loss: 0.7907 - acc: 0.8193 - val_loss: 0.7279 - val_acc: 0.8488 Epoch 500/5000 14s 28ms/step - loss: 0.7890 - acc: 0.8229 - val_loss: 0.7470 - val_acc: 0.8376 Epoch 501/5000 14s 28ms/step - loss: 0.7889 - acc: 0.8207 - val_loss: 0.7140 - val_acc: 0.8528 Epoch 502/5000 14s 28ms/step - loss: 0.7862 - acc: 0.8224 - val_loss: 0.7495 - val_acc: 0.8351 Epoch 503/5000 14s 28ms/step - loss: 0.7868 - acc: 0.8221 - val_loss: 0.7306 - val_acc: 0.8431 Epoch 504/5000 15s 29ms/step - loss: 0.7828 - acc: 0.8234 - val_loss: 0.7212 - val_acc: 0.8483 Epoch 505/5000 14s 28ms/step - loss: 0.7918 - acc: 0.8198 - val_loss: 0.7266 - val_acc: 0.8477 Epoch 506/5000 14s 28ms/step - loss: 0.7915 - acc: 0.8204 - val_loss: 0.7501 - val_acc: 0.8382 Epoch 507/5000 14s 28ms/step - loss: 0.7832 - acc: 0.8238 - val_loss: 0.7234 - val_acc: 0.8476 Epoch 508/5000 14s 29ms/step - loss: 0.7917 - acc: 0.8203 - val_loss: 0.7229 - val_acc: 0.8489 Epoch 509/5000 14s 29ms/step - loss: 0.7859 - acc: 0.8234 - val_loss: 0.7051 - val_acc: 0.8556 Epoch 510/5000 14s 29ms/step - loss: 0.7839 - acc: 0.8234 - val_loss: 0.7327 - val_acc: 0.8458 Epoch 511/5000 14s 29ms/step - loss: 0.7860 - acc: 0.8228 - val_loss: 0.7295 - val_acc: 0.8429 Epoch 512/5000 14s 29ms/step - loss: 0.7880 - acc: 0.8216 - val_loss: 0.7199 - val_acc: 0.8515 Epoch 513/5000 14s 29ms/step - loss: 0.7864 - acc: 0.8238 - val_loss: 0.7402 - val_acc: 0.8385 Epoch 514/5000 14s 29ms/step - loss: 0.7858 - acc: 0.8246 - val_loss: 0.7485 - val_acc: 0.8334 Epoch 515/5000 14s 29ms/step - loss: 0.7910 - acc: 0.8205 - val_loss: 0.7222 - val_acc: 0.8496 Epoch 516/5000 14s 29ms/step - loss: 0.7879 - acc: 0.8218 - val_loss: 0.7276 - val_acc: 0.8437 Epoch 517/5000 14s 29ms/step - loss: 0.7886 - acc: 0.8231 - val_loss: 0.7160 - val_acc: 0.8509 Epoch 518/5000 14s 29ms/step - loss: 0.7847 - acc: 0.8237 - val_loss: 0.7216 - val_acc: 0.8469 Epoch 519/5000 14s 29ms/step - loss: 0.7872 - acc: 0.8209 - val_loss: 0.7188 - val_acc: 0.8496 Epoch 520/5000 14s 29ms/step - loss: 0.7856 - acc: 0.8227 - val_loss: 0.7323 - val_acc: 0.8474 Epoch 521/5000 14s 29ms/step - loss: 0.7833 - acc: 0.8225 - val_loss: 0.7458 - val_acc: 0.8410 Epoch 522/5000 14s 29ms/step - loss: 0.7816 - acc: 0.8243 - val_loss: 0.7213 - val_acc: 0.8486 Epoch 523/5000 14s 29ms/step - loss: 0.7909 - acc: 0.8215 - val_loss: 0.7266 - val_acc: 0.8416 Epoch 524/5000 14s 29ms/step - loss: 0.7902 - acc: 0.8236 - val_loss: 0.7367 - val_acc: 0.8418 Epoch 525/5000 14s 29ms/step - loss: 0.7882 - acc: 0.8212 - val_loss: 0.7105 - val_acc: 0.8538 Epoch 526/5000 14s 29ms/step - loss: 0.7878 - acc: 0.8240 - val_loss: 0.7232 - val_acc: 0.8481 Epoch 527/5000 14s 29ms/step - loss: 0.7867 - acc: 0.8219 - val_loss: 0.7338 - val_acc: 0.8444 Epoch 528/5000 14s 29ms/step - loss: 0.7873 - acc: 0.8218 - val_loss: 0.7291 - val_acc: 0.8444 Epoch 529/5000 14s 29ms/step - loss: 0.7934 - acc: 0.8187 - val_loss: 0.7549 - val_acc: 0.8334 Epoch 530/5000 14s 29ms/step - loss: 0.7836 - acc: 0.8256 - val_loss: 0.7376 - val_acc: 0.8456 Epoch 531/5000 14s 29ms/step - loss: 0.7883 - acc: 0.8208 - val_loss: 0.7219 - val_acc: 0.8502 Epoch 532/5000 14s 29ms/step - loss: 0.7880 - acc: 0.8232 - val_loss: 0.7381 - val_acc: 0.8423 Epoch 533/5000 14s 29ms/step - loss: 0.7876 - acc: 0.8222 - val_loss: 0.7241 - val_acc: 0.8463 Epoch 534/5000 14s 29ms/step - loss: 0.7872 - acc: 0.8246 - val_loss: 0.7250 - val_acc: 0.8454 Epoch 535/5000 14s 29ms/step - loss: 0.7876 - acc: 0.8210 - val_loss: 0.7289 - val_acc: 0.8469 Epoch 536/5000 14s 29ms/step - loss: 0.7866 - acc: 0.8226 - val_loss: 0.7171 - val_acc: 0.8471 Epoch 537/5000 14s 28ms/step - loss: 0.7824 - acc: 0.8233 - val_loss: 0.7309 - val_acc: 0.8425 Epoch 538/5000 14s 29ms/step - loss: 0.7824 - acc: 0.8245 - val_loss: 0.7448 - val_acc: 0.8397 Epoch 539/5000 14s 29ms/step - loss: 0.7864 - acc: 0.8214 - val_loss: 0.7241 - val_acc: 0.8436 Epoch 540/5000 14s 29ms/step - loss: 0.7864 - acc: 0.8214 - val_loss: 0.7238 - val_acc: 0.8465 Epoch 541/5000 14s 29ms/step - loss: 0.7876 - acc: 0.8236 - val_loss: 0.7355 - val_acc: 0.8392 Epoch 542/5000 14s 29ms/step - loss: 0.7910 - acc: 0.8218 - val_loss: 0.7397 - val_acc: 0.8424 Epoch 543/5000 14s 29ms/step - loss: 0.7837 - acc: 0.8232 - val_loss: 0.7409 - val_acc: 0.8399 Epoch 544/5000 14s 29ms/step - loss: 0.7875 - acc: 0.8236 - val_loss: 0.7401 - val_acc: 0.8417 Epoch 545/5000 14s 29ms/step - loss: 0.7867 - acc: 0.8224 - val_loss: 0.7164 - val_acc: 0.8531 Epoch 546/5000 14s 29ms/step - loss: 0.7890 - acc: 0.8225 - val_loss: 0.6964 - val_acc: 0.8551 Epoch 547/5000 14s 29ms/step - loss: 0.7829 - acc: 0.8236 - val_loss: 0.7346 - val_acc: 0.8439 Epoch 548/5000 14s 29ms/step - loss: 0.7909 - acc: 0.8210 - val_loss: 0.7175 - val_acc: 0.8491 Epoch 549/5000 14s 29ms/step - loss: 0.7831 - acc: 0.8232 - val_loss: 0.7228 - val_acc: 0.8485 Epoch 550/5000 14s 29ms/step - loss: 0.7830 - acc: 0.8240 - val_loss: 0.7257 - val_acc: 0.8451 Epoch 551/5000 14s 29ms/step - loss: 0.7904 - acc: 0.8213 - val_loss: 0.7202 - val_acc: 0.8476 Epoch 552/5000 14s 29ms/step - loss: 0.7867 - acc: 0.8238 - val_loss: 0.7470 - val_acc: 0.8385 Epoch 553/5000 14s 28ms/step - loss: 0.7860 - acc: 0.8243 - val_loss: 0.7103 - val_acc: 0.8506 Epoch 554/5000 14s 29ms/step - loss: 0.7841 - acc: 0.8230 - val_loss: 0.7212 - val_acc: 0.8504 Epoch 555/5000 14s 29ms/step - loss: 0.7869 - acc: 0.8228 - val_loss: 0.7157 - val_acc: 0.8477 Epoch 556/5000 14s 29ms/step - loss: 0.7891 - acc: 0.8217 - val_loss: 0.7359 - val_acc: 0.8415 Epoch 557/5000 14s 29ms/step - loss: 0.7842 - acc: 0.8225 - val_loss: 0.7377 - val_acc: 0.8412 Epoch 558/5000 14s 29ms/step - loss: 0.7878 - acc: 0.8214 - val_loss: 0.7348 - val_acc: 0.8471 Epoch 559/5000 14s 29ms/step - loss: 0.7820 - acc: 0.8244 - val_loss: 0.7293 - val_acc: 0.8471 Epoch 560/5000 14s 29ms/step - loss: 0.7897 - acc: 0.8212 - val_loss: 0.7555 - val_acc: 0.8381 Epoch 561/5000 14s 29ms/step - loss: 0.7839 - acc: 0.8244 - val_loss: 0.7105 - val_acc: 0.8507 Epoch 562/5000 14s 29ms/step - loss: 0.7863 - acc: 0.8243 - val_loss: 0.7182 - val_acc: 0.8462 Epoch 563/5000 14s 29ms/step - loss: 0.7867 - acc: 0.8229 - val_loss: 0.7173 - val_acc: 0.8520 Epoch 564/5000 14s 28ms/step - loss: 0.7843 - acc: 0.8224 - val_loss: 0.7329 - val_acc: 0.8434 Epoch 565/5000 14s 29ms/step - loss: 0.7868 - acc: 0.8220 - val_loss: 0.7076 - val_acc: 0.8517 Epoch 566/5000 14s 29ms/step - loss: 0.7862 - acc: 0.8240 - val_loss: 0.7195 - val_acc: 0.8464 Epoch 567/5000 14s 29ms/step - loss: 0.7841 - acc: 0.8215 - val_loss: 0.7119 - val_acc: 0.8506 Epoch 568/5000 14s 29ms/step - loss: 0.7864 - acc: 0.8222 - val_loss: 0.7070 - val_acc: 0.8505 Epoch 569/5000 14s 29ms/step - loss: 0.7873 - acc: 0.8220 - val_loss: 0.7249 - val_acc: 0.8456 Epoch 570/5000 14s 29ms/step - loss: 0.7846 - acc: 0.8230 - val_loss: 0.7318 - val_acc: 0.8432 Epoch 571/5000 14s 29ms/step - loss: 0.7803 - acc: 0.8253 - val_loss: 0.7491 - val_acc: 0.8324 Epoch 572/5000 14s 29ms/step - loss: 0.7888 - acc: 0.8222 - val_loss: 0.7374 - val_acc: 0.8389 Epoch 573/5000 14s 29ms/step - loss: 0.7863 - acc: 0.8237 - val_loss: 0.7252 - val_acc: 0.8450 Epoch 574/5000 14s 29ms/step - loss: 0.7908 - acc: 0.8226 - val_loss: 0.7231 - val_acc: 0.8470 Epoch 575/5000 14s 29ms/step - loss: 0.7852 - acc: 0.8233 - val_loss: 0.7316 - val_acc: 0.8433 Epoch 576/5000 14s 29ms/step - loss: 0.7847 - acc: 0.8232 - val_loss: 0.7231 - val_acc: 0.8464 Epoch 577/5000 14s 29ms/step - loss: 0.7869 - acc: 0.8223 - val_loss: 0.7538 - val_acc: 0.8374 Epoch 578/5000 14s 28ms/step - loss: 0.7845 - acc: 0.8239 - val_loss: 0.7411 - val_acc: 0.8378 Epoch 579/5000 14s 29ms/step - loss: 0.7869 - acc: 0.8216 - val_loss: 0.7270 - val_acc: 0.8464 Epoch 580/5000 14s 29ms/step - loss: 0.7830 - acc: 0.8246 - val_loss: 0.7010 - val_acc: 0.8542 Epoch 581/5000 14s 29ms/step - loss: 0.7889 - acc: 0.8222 - val_loss: 0.7353 - val_acc: 0.8437 Epoch 582/5000 14s 29ms/step - loss: 0.7835 - acc: 0.8240 - val_loss: 0.7153 - val_acc: 0.8461 Epoch 583/5000 14s 29ms/step - loss: 0.7886 - acc: 0.8208 - val_loss: 0.7357 - val_acc: 0.8421 Epoch 584/5000 14s 29ms/step - loss: 0.7904 - acc: 0.8230 - val_loss: 0.7176 - val_acc: 0.8446 Epoch 585/5000 14s 29ms/step - loss: 0.7861 - acc: 0.8230 - val_loss: 0.7678 - val_acc: 0.8285 Epoch 586/5000 14s 29ms/step - loss: 0.7901 - acc: 0.8217 - val_loss: 0.7487 - val_acc: 0.8363 Epoch 587/5000 14s 28ms/step - loss: 0.7887 - acc: 0.8211 - val_loss: 0.7400 - val_acc: 0.8426 Epoch 588/5000 14s 29ms/step - loss: 0.7829 - acc: 0.8234 - val_loss: 0.7117 - val_acc: 0.8529 Epoch 589/5000 14s 29ms/step - loss: 0.7845 - acc: 0.8238 - val_loss: 0.7595 - val_acc: 0.8350 Epoch 590/5000 14s 29ms/step - loss: 0.7875 - acc: 0.8226 - val_loss: 0.7112 - val_acc: 0.8499 Epoch 591/5000 14s 29ms/step - loss: 0.7838 - acc: 0.8233 - val_loss: 0.7156 - val_acc: 0.8485 Epoch 592/5000 14s 29ms/step - loss: 0.7843 - acc: 0.8225 - val_loss: 0.7237 - val_acc: 0.8474 Epoch 593/5000 14s 29ms/step - loss: 0.7888 - acc: 0.8225 - val_loss: 0.7290 - val_acc: 0.8455 Epoch 594/5000 14s 29ms/step - loss: 0.7876 - acc: 0.8233 - val_loss: 0.7346 - val_acc: 0.8438 Epoch 595/5000 14s 29ms/step - loss: 0.7906 - acc: 0.8214 - val_loss: 0.7223 - val_acc: 0.8450 Epoch 596/5000 14s 29ms/step - loss: 0.7828 - acc: 0.8233 - val_loss: 0.7248 - val_acc: 0.8466 Epoch 597/5000 14s 29ms/step - loss: 0.7805 - acc: 0.8251 - val_loss: 0.7219 - val_acc: 0.8479 Epoch 598/5000 14s 29ms/step - loss: 0.7873 - acc: 0.8230 - val_loss: 0.7362 - val_acc: 0.8438 Epoch 599/5000 14s 29ms/step - loss: 0.7867 - acc: 0.8247 - val_loss: 0.7001 - val_acc: 0.8563 Epoch 600/5000 14s 29ms/step - loss: 0.7870 - acc: 0.8247 - val_loss: 0.7105 - val_acc: 0.8518 Epoch 601/5000 14s 29ms/step - loss: 0.7811 - acc: 0.8256 - val_loss: 0.7327 - val_acc: 0.8407 Epoch 602/5000 14s 29ms/step - loss: 0.7863 - acc: 0.8213 - val_loss: 0.7418 - val_acc: 0.8377 Epoch 603/5000 14s 29ms/step - loss: 0.7815 - acc: 0.8256 - val_loss: 0.7202 - val_acc: 0.8453 Epoch 604/5000 14s 29ms/step - loss: 0.7885 - acc: 0.8217 - val_loss: 0.7289 - val_acc: 0.8461 Epoch 605/5000 14s 29ms/step - loss: 0.7861 - acc: 0.8238 - val_loss: 0.7215 - val_acc: 0.8449 Epoch 606/5000 14s 29ms/step - loss: 0.7815 - acc: 0.8248 - val_loss: 0.7062 - val_acc: 0.8526 Epoch 607/5000 14s 29ms/step - loss: 0.7814 - acc: 0.8233 - val_loss: 0.7171 - val_acc: 0.8495 Epoch 608/5000 14s 29ms/step - loss: 0.7878 - acc: 0.8215 - val_loss: 0.7230 - val_acc: 0.8442 Epoch 609/5000 14s 29ms/step - loss: 0.7821 - acc: 0.8244 - val_loss: 0.7295 - val_acc: 0.8476 Epoch 610/5000 14s 28ms/step - loss: 0.7858 - acc: 0.8218 - val_loss: 0.7366 - val_acc: 0.8411 Epoch 611/5000 14s 29ms/step - loss: 0.7887 - acc: 0.8218 - val_loss: 0.7110 - val_acc: 0.8499 Epoch 612/5000 14s 29ms/step - loss: 0.7917 - acc: 0.8206 - val_loss: 0.7094 - val_acc: 0.8540 Epoch 613/5000 14s 28ms/step - loss: 0.7826 - acc: 0.8241 - val_loss: 0.6942 - val_acc: 0.8548 Epoch 614/5000 14s 28ms/step - loss: 0.7845 - acc: 0.8233 - val_loss: 0.7119 - val_acc: 0.8496 Epoch 615/5000 14s 28ms/step - loss: 0.7824 - acc: 0.8249 - val_loss: 0.7234 - val_acc: 0.8471 Epoch 616/5000 14s 28ms/step - loss: 0.7837 - acc: 0.8220 - val_loss: 0.7226 - val_acc: 0.8481 Epoch 617/5000 14s 28ms/step - loss: 0.7834 - acc: 0.8233 - val_loss: 0.7059 - val_acc: 0.8516 Epoch 618/5000 14s 28ms/step - loss: 0.7806 - acc: 0.8244 - val_loss: 0.7116 - val_acc: 0.8511 Epoch 619/5000 14s 28ms/step - loss: 0.7861 - acc: 0.8225 - val_loss: 0.7207 - val_acc: 0.8437 Epoch 620/5000 14s 28ms/step - loss: 0.7830 - acc: 0.8234 - val_loss: 0.7345 - val_acc: 0.8428 Epoch 621/5000 14s 28ms/step - loss: 0.7830 - acc: 0.8232 - val_loss: 0.7335 - val_acc: 0.8431 Epoch 622/5000 14s 28ms/step - loss: 0.7852 - acc: 0.8231 - val_loss: 0.7109 - val_acc: 0.8528 Epoch 623/5000 14s 28ms/step - loss: 0.7849 - acc: 0.8220 - val_loss: 0.7252 - val_acc: 0.8443 Epoch 624/5000 14s 28ms/step - loss: 0.7858 - acc: 0.8227 - val_loss: 0.7056 - val_acc: 0.8544 Epoch 625/5000 14s 28ms/step - loss: 0.7814 - acc: 0.8242 - val_loss: 0.7218 - val_acc: 0.8459 Epoch 626/5000 14s 28ms/step - loss: 0.7824 - acc: 0.8256 - val_loss: 0.7179 - val_acc: 0.8509 Epoch 627/5000 14s 28ms/step - loss: 0.7840 - acc: 0.8230 - val_loss: 0.7445 - val_acc: 0.8378 Epoch 628/5000 14s 28ms/step - loss: 0.7890 - acc: 0.8221 - val_loss: 0.7291 - val_acc: 0.8432 Epoch 629/5000 14s 28ms/step - loss: 0.7780 - acc: 0.8242 - val_loss: 0.7305 - val_acc: 0.8440 Epoch 630/5000 14s 28ms/step - loss: 0.7870 - acc: 0.8220 - val_loss: 0.7329 - val_acc: 0.8427 Epoch 631/5000 14s 28ms/step - loss: 0.7901 - acc: 0.8223 - val_loss: 0.7152 - val_acc: 0.8513 Epoch 632/5000 14s 28ms/step - loss: 0.7849 - acc: 0.8222 - val_loss: 0.7248 - val_acc: 0.8465 Epoch 633/5000 14s 28ms/step - loss: 0.7769 - acc: 0.8270 - val_loss: 0.7084 - val_acc: 0.8510 Epoch 634/5000 14s 28ms/step - loss: 0.7813 - acc: 0.8237 - val_loss: 0.7297 - val_acc: 0.8467 Epoch 635/5000 14s 28ms/step - loss: 0.7853 - acc: 0.8225 - val_loss: 0.7219 - val_acc: 0.8479 Epoch 636/5000 14s 28ms/step - loss: 0.7814 - acc: 0.8251 - val_loss: 0.7101 - val_acc: 0.8508 Epoch 637/5000 14s 28ms/step - loss: 0.7818 - acc: 0.8251 - val_loss: 0.7232 - val_acc: 0.8498 Epoch 638/5000 14s 28ms/step - loss: 0.7867 - acc: 0.8222 - val_loss: 0.7100 - val_acc: 0.8483 Epoch 639/5000 14s 28ms/step - loss: 0.7847 - acc: 0.8233 - val_loss: 0.7252 - val_acc: 0.8462 Epoch 640/5000 14s 28ms/step - loss: 0.7837 - acc: 0.8233 - val_loss: 0.7194 - val_acc: 0.8511 Epoch 641/5000 14s 28ms/step - loss: 0.7827 - acc: 0.8261 - val_loss: 0.7027 - val_acc: 0.8563 Epoch 642/5000 14s 28ms/step - loss: 0.7886 - acc: 0.8207 - val_loss: 0.7021 - val_acc: 0.8548 Epoch 643/5000 14s 28ms/step - loss: 0.7846 - acc: 0.8241 - val_loss: 0.7164 - val_acc: 0.8485 Epoch 644/5000 14s 28ms/step - loss: 0.7843 - acc: 0.8229 - val_loss: 0.7375 - val_acc: 0.8416 Epoch 645/5000 14s 28ms/step - loss: 0.7842 - acc: 0.8238 - val_loss: 0.7363 - val_acc: 0.8393 Epoch 646/5000 14s 28ms/step - loss: 0.7864 - acc: 0.8223 - val_loss: 0.7321 - val_acc: 0.8447 Epoch 647/5000 14s 28ms/step - loss: 0.7833 - acc: 0.8238 - val_loss: 0.7332 - val_acc: 0.8405 Epoch 648/5000 14s 28ms/step - loss: 0.7840 - acc: 0.8238 - val_loss: 0.7176 - val_acc: 0.8505 Epoch 649/5000 14s 28ms/step - loss: 0.7844 - acc: 0.8223 - val_loss: 0.7175 - val_acc: 0.8495 Epoch 650/5000 14s 28ms/step - loss: 0.7859 - acc: 0.8227 - val_loss: 0.7159 - val_acc: 0.8492 Epoch 651/5000 14s 28ms/step - loss: 0.7808 - acc: 0.8239 - val_loss: 0.7448 - val_acc: 0.8381 Epoch 652/5000 14s 28ms/step - loss: 0.7888 - acc: 0.8211 - val_loss: 0.7015 - val_acc: 0.8527 Epoch 653/5000 14s 28ms/step - loss: 0.7843 - acc: 0.8226 - val_loss: 0.7164 - val_acc: 0.8480 Epoch 654/5000 14s 28ms/step - loss: 0.7878 - acc: 0.8222 - val_loss: 0.7244 - val_acc: 0.8489 Epoch 655/5000 14s 28ms/step - loss: 0.7807 - acc: 0.8247 - val_loss: 0.7388 - val_acc: 0.8422 Epoch 656/5000 14s 28ms/step - loss: 0.7839 - acc: 0.8243 - val_loss: 0.7301 - val_acc: 0.8442 Epoch 657/5000 14s 28ms/step - loss: 0.7864 - acc: 0.8222 - val_loss: 0.7428 - val_acc: 0.8439 Epoch 658/5000 14s 28ms/step - loss: 0.7831 - acc: 0.8242 - val_loss: 0.7397 - val_acc: 0.8408 Epoch 659/5000 14s 28ms/step - loss: 0.7828 - acc: 0.8240 - val_loss: 0.7554 - val_acc: 0.8364 Epoch 660/5000 14s 28ms/step - loss: 0.7836 - acc: 0.8240 - val_loss: 0.7063 - val_acc: 0.8538 Epoch 661/5000 14s 28ms/step - loss: 0.7853 - acc: 0.8210 - val_loss: 0.7164 - val_acc: 0.8522 Epoch 662/5000 14s 28ms/step - loss: 0.7871 - acc: 0.8239 - val_loss: 0.7089 - val_acc: 0.8512 Epoch 663/5000 14s 28ms/step - loss: 0.7820 - acc: 0.8253 - val_loss: 0.7228 - val_acc: 0.8448 Epoch 664/5000 14s 28ms/step - loss: 0.7860 - acc: 0.8217 - val_loss: 0.7503 - val_acc: 0.8356 Epoch 665/5000 14s 28ms/step - loss: 0.7856 - acc: 0.8221 - val_loss: 0.7177 - val_acc: 0.8482 Epoch 666/5000 14s 28ms/step - loss: 0.7898 - acc: 0.8220 - val_loss: 0.7208 - val_acc: 0.8463 Epoch 667/5000 14s 28ms/step - loss: 0.7865 - acc: 0.8222 - val_loss: 0.7238 - val_acc: 0.8484 Epoch 668/5000 14s 28ms/step - loss: 0.7913 - acc: 0.8210 - val_loss: 0.7344 - val_acc: 0.8414 Epoch 669/5000 14s 28ms/step - loss: 0.7824 - acc: 0.8254 - val_loss: 0.7163 - val_acc: 0.8474 Epoch 670/5000 14s 28ms/step - loss: 0.7866 - acc: 0.8208 - val_loss: 0.7318 - val_acc: 0.8441 Epoch 671/5000 14s 28ms/step - loss: 0.7810 - acc: 0.8242 - val_loss: 0.7266 - val_acc: 0.8476 Epoch 672/5000 14s 28ms/step - loss: 0.7830 - acc: 0.8246 - val_loss: 0.7050 - val_acc: 0.8528 Epoch 673/5000 14s 28ms/step - loss: 0.7841 - acc: 0.8238 - val_loss: 0.7006 - val_acc: 0.8517 Epoch 674/5000 14s 28ms/step - loss: 0.7843 - acc: 0.8228 - val_loss: 0.7250 - val_acc: 0.8458 Epoch 675/5000 14s 28ms/step - loss: 0.7842 - acc: 0.8240 - val_loss: 0.7231 - val_acc: 0.8437 Epoch 676/5000 14s 28ms/step - loss: 0.7862 - acc: 0.8234 - val_loss: 0.7340 - val_acc: 0.8441 Epoch 677/5000 14s 28ms/step - loss: 0.7839 - acc: 0.8245 - val_loss: 0.7236 - val_acc: 0.8447 Epoch 678/5000 14s 28ms/step - loss: 0.7893 - acc: 0.8220 - val_loss: 0.7145 - val_acc: 0.8514 Epoch 679/5000 14s 28ms/step - loss: 0.7849 - acc: 0.8234 - val_loss: 0.7144 - val_acc: 0.8514 Epoch 680/5000 14s 28ms/step - loss: 0.7807 - acc: 0.8218 - val_loss: 0.7195 - val_acc: 0.8491 Epoch 681/5000 14s 28ms/step - loss: 0.7786 - acc: 0.8243 - val_loss: 0.7352 - val_acc: 0.8447 Epoch 682/5000 14s 28ms/step - loss: 0.7866 - acc: 0.8234 - val_loss: 0.7361 - val_acc: 0.8437 Epoch 683/5000 14s 28ms/step - loss: 0.7787 - acc: 0.8233 - val_loss: 0.7347 - val_acc: 0.8415 Epoch 684/5000 14s 28ms/step - loss: 0.7800 - acc: 0.8253 - val_loss: 0.7076 - val_acc: 0.8515 Epoch 685/5000 14s 28ms/step - loss: 0.7853 - acc: 0.8238 - val_loss: 0.7299 - val_acc: 0.8437 Epoch 686/5000 14s 28ms/step - loss: 0.7860 - acc: 0.8248 - val_loss: 0.7174 - val_acc: 0.8471 Epoch 687/5000 14s 28ms/step - loss: 0.7875 - acc: 0.8234 - val_loss: 0.7084 - val_acc: 0.8462 Epoch 688/5000 14s 28ms/step - loss: 0.7816 - acc: 0.8230 - val_loss: 0.7142 - val_acc: 0.8494 Epoch 689/5000 14s 28ms/step - loss: 0.7854 - acc: 0.8235 - val_loss: 0.7362 - val_acc: 0.8455 Epoch 690/5000 14s 28ms/step - loss: 0.7836 - acc: 0.8250 - val_loss: 0.7111 - val_acc: 0.8532 Epoch 691/5000 14s 28ms/step - loss: 0.7859 - acc: 0.8240 - val_loss: 0.7599 - val_acc: 0.8316 Epoch 692/5000 14s 28ms/step - loss: 0.7847 - acc: 0.8235 - val_loss: 0.7387 - val_acc: 0.8427 Epoch 693/5000 14s 28ms/step - loss: 0.7831 - acc: 0.8248 - val_loss: 0.7239 - val_acc: 0.8452 Epoch 694/5000 14s 28ms/step - loss: 0.7805 - acc: 0.8218 - val_loss: 0.7169 - val_acc: 0.8499 Epoch 695/5000 14s 28ms/step - loss: 0.7820 - acc: 0.8238 - val_loss: 0.7301 - val_acc: 0.8437 Epoch 696/5000 14s 28ms/step - loss: 0.7831 - acc: 0.8256 - val_loss: 0.7250 - val_acc: 0.8424 Epoch 697/5000 14s 28ms/step - loss: 0.7840 - acc: 0.8228 - val_loss: 0.7416 - val_acc: 0.8417 Epoch 698/5000 14s 28ms/step - loss: 0.7852 - acc: 0.8232 - val_loss: 0.7391 - val_acc: 0.8396 Epoch 699/5000 14s 28ms/step - loss: 0.7831 - acc: 0.8246 - val_loss: 0.7284 - val_acc: 0.8469 Epoch 700/5000 14s 28ms/step - loss: 0.7797 - acc: 0.8249 - val_loss: 0.7227 - val_acc: 0.8468 Epoch 701/5000 14s 28ms/step - loss: 0.7816 - acc: 0.8238 - val_loss: 0.7284 - val_acc: 0.8418 Epoch 702/5000 14s 28ms/step - loss: 0.7856 - acc: 0.8229 - val_loss: 0.7172 - val_acc: 0.8469 Epoch 703/5000 14s 28ms/step - loss: 0.7823 - acc: 0.8253 - val_loss: 0.7016 - val_acc: 0.8549 Epoch 704/5000 14s 28ms/step - loss: 0.7801 - acc: 0.8259 - val_loss: 0.7564 - val_acc: 0.8362 Epoch 705/5000 14s 28ms/step - loss: 0.7858 - acc: 0.8226 - val_loss: 0.7202 - val_acc: 0.8454 Epoch 706/5000 14s 28ms/step - loss: 0.7823 - acc: 0.8255 - val_loss: 0.7226 - val_acc: 0.8469 Epoch 707/5000 14s 28ms/step - loss: 0.7797 - acc: 0.8245 - val_loss: 0.7329 - val_acc: 0.8442 Epoch 708/5000 14s 28ms/step - loss: 0.7866 - acc: 0.8224 - val_loss: 0.7066 - val_acc: 0.8508 Epoch 709/5000 14s 28ms/step - loss: 0.7784 - acc: 0.8245 - val_loss: 0.7156 - val_acc: 0.8503 Epoch 710/5000 14s 28ms/step - loss: 0.7797 - acc: 0.8247 - val_loss: 0.7305 - val_acc: 0.8414 Epoch 711/5000 14s 28ms/step - loss: 0.7799 - acc: 0.8251 - val_loss: 0.7333 - val_acc: 0.8458 Epoch 712/5000 14s 28ms/step - loss: 0.7853 - acc: 0.8232 - val_loss: 0.7375 - val_acc: 0.8406 Epoch 713/5000 14s 28ms/step - loss: 0.7805 - acc: 0.8243 - val_loss: 0.7154 - val_acc: 0.8489 Epoch 714/5000 14s 28ms/step - loss: 0.7811 - acc: 0.8248 - val_loss: 0.7180 - val_acc: 0.8473 Epoch 715/5000 14s 28ms/step - loss: 0.7838 - acc: 0.8214 - val_loss: 0.7283 - val_acc: 0.8463 Epoch 716/5000 14s 28ms/step - loss: 0.7815 - acc: 0.8253 - val_loss: 0.7445 - val_acc: 0.8424 Epoch 717/5000 14s 28ms/step - loss: 0.7851 - acc: 0.8224 - val_loss: 0.7114 - val_acc: 0.8569 Epoch 718/5000 14s 28ms/step - loss: 0.7833 - acc: 0.8236 - val_loss: 0.7333 - val_acc: 0.8413 Epoch 719/5000 14s 28ms/step - loss: 0.7847 - acc: 0.8235 - val_loss: 0.7156 - val_acc: 0.8488 Epoch 720/5000 14s 28ms/step - loss: 0.7847 - acc: 0.8222 - val_loss: 0.7342 - val_acc: 0.8432 Epoch 721/5000 14s 28ms/step - loss: 0.7853 - acc: 0.8230 - val_loss: 0.7261 - val_acc: 0.8445 Epoch 722/5000 14s 28ms/step - loss: 0.7820 - acc: 0.8243 - val_loss: 0.7328 - val_acc: 0.8436 Epoch 723/5000 14s 28ms/step - loss: 0.7782 - acc: 0.8252 - val_loss: 0.7123 - val_acc: 0.8487 Epoch 724/5000 14s 28ms/step - loss: 0.7834 - acc: 0.8226 - val_loss: 0.7240 - val_acc: 0.8473 Epoch 725/5000 14s 28ms/step - loss: 0.7828 - acc: 0.8236 - val_loss: 0.7346 - val_acc: 0.8440 Epoch 726/5000 14s 28ms/step - loss: 0.7809 - acc: 0.8264 - val_loss: 0.7216 - val_acc: 0.8455 Epoch 727/5000 14s 29ms/step - loss: 0.7836 - acc: 0.8224 - val_loss: 0.7294 - val_acc: 0.8433 Epoch 728/5000 14s 28ms/step - loss: 0.7844 - acc: 0.8240 - val_loss: 0.7086 - val_acc: 0.8495 Epoch 729/5000 14s 28ms/step - loss: 0.7763 - acc: 0.8269 - val_loss: 0.7415 - val_acc: 0.8377 Epoch 730/5000 14s 28ms/step - loss: 0.7855 - acc: 0.8240 - val_loss: 0.7218 - val_acc: 0.8490 Epoch 731/5000 14s 28ms/step - loss: 0.7839 - acc: 0.8228 - val_loss: 0.7271 - val_acc: 0.8484 Epoch 732/5000 14s 28ms/step - loss: 0.7801 - acc: 0.8247 - val_loss: 0.7131 - val_acc: 0.8511 Epoch 733/5000 14s 28ms/step - loss: 0.7848 - acc: 0.8245 - val_loss: 0.7158 - val_acc: 0.8489 Epoch 734/5000 14s 28ms/step - loss: 0.7857 - acc: 0.8222 - val_loss: 0.7256 - val_acc: 0.8494 Epoch 735/5000 14s 28ms/step - loss: 0.7837 - acc: 0.8224 - val_loss: 0.7269 - val_acc: 0.8425 Epoch 736/5000 14s 28ms/step - loss: 0.7813 - acc: 0.8246 - val_loss: 0.7387 - val_acc: 0.8391 Epoch 737/5000 14s 28ms/step - loss: 0.7838 - acc: 0.8232 - val_loss: 0.7271 - val_acc: 0.8420 Epoch 738/5000 14s 28ms/step - loss: 0.7823 - acc: 0.8251 - val_loss: 0.7336 - val_acc: 0.8439 Epoch 739/5000 14s 28ms/step - loss: 0.7883 - acc: 0.8225 - val_loss: 0.7112 - val_acc: 0.8510 Epoch 740/5000 14s 28ms/step - loss: 0.7852 - acc: 0.8224 - val_loss: 0.7089 - val_acc: 0.8508 Epoch 741/5000 14s 28ms/step - loss: 0.7837 - acc: 0.8233 - val_loss: 0.7316 - val_acc: 0.8441 Epoch 742/5000 14s 28ms/step - loss: 0.7879 - acc: 0.8235 - val_loss: 0.7358 - val_acc: 0.8455 Epoch 743/5000 14s 28ms/step - loss: 0.7857 - acc: 0.8222 - val_loss: 0.7181 - val_acc: 0.8485 Epoch 744/5000 14s 28ms/step - loss: 0.7803 - acc: 0.8243 - val_loss: 0.7073 - val_acc: 0.8544 Epoch 745/5000 14s 28ms/step - loss: 0.7833 - acc: 0.8247 - val_loss: 0.7098 - val_acc: 0.8492 Epoch 746/5000 14s 28ms/step - loss: 0.7794 - acc: 0.8234 - val_loss: 0.7003 - val_acc: 0.8547 Epoch 747/5000 14s 28ms/step - loss: 0.7825 - acc: 0.8222 - val_loss: 0.7412 - val_acc: 0.8404 Epoch 748/5000 14s 28ms/step - loss: 0.7821 - acc: 0.8257 - val_loss: 0.7185 - val_acc: 0.8493 Epoch 749/5000 14s 28ms/step - loss: 0.7815 - acc: 0.8246 - val_loss: 0.7386 - val_acc: 0.8424 Epoch 750/5000 14s 28ms/step - loss: 0.7802 - acc: 0.8258 - val_loss: 0.7081 - val_acc: 0.8514 Epoch 751/5000 14s 28ms/step - loss: 0.7848 - acc: 0.8226 - val_loss: 0.7197 - val_acc: 0.8472 Epoch 752/5000 14s 28ms/step - loss: 0.7822 - acc: 0.8255 - val_loss: 0.7303 - val_acc: 0.8454 Epoch 753/5000 14s 28ms/step - loss: 0.7840 - acc: 0.8228 - val_loss: 0.7244 - val_acc: 0.8437 Epoch 754/5000 14s 28ms/step - loss: 0.7876 - acc: 0.8216 - val_loss: 0.7130 - val_acc: 0.8487 Epoch 755/5000 14s 28ms/step - loss: 0.7851 - acc: 0.8223 - val_loss: 0.7112 - val_acc: 0.8515 Epoch 756/5000 14s 28ms/step - loss: 0.7815 - acc: 0.8253 - val_loss: 0.7193 - val_acc: 0.8524 Epoch 757/5000 14s 28ms/step - loss: 0.7819 - acc: 0.8242 - val_loss: 0.7013 - val_acc: 0.8551 Epoch 758/5000 14s 28ms/step - loss: 0.7878 - acc: 0.8202 - val_loss: 0.7089 - val_acc: 0.8497 Epoch 759/5000 14s 28ms/step - loss: 0.7831 - acc: 0.8222 - val_loss: 0.7246 - val_acc: 0.8442 Epoch 760/5000 14s 28ms/step - loss: 0.7892 - acc: 0.8210 - val_loss: 0.7071 - val_acc: 0.8516 Epoch 761/5000 14s 28ms/step - loss: 0.7841 - acc: 0.8234 - val_loss: 0.7316 - val_acc: 0.8433 Epoch 762/5000 14s 28ms/step - loss: 0.7831 - acc: 0.8234 - val_loss: 0.7339 - val_acc: 0.8411 Epoch 763/5000 14s 28ms/step - loss: 0.7804 - acc: 0.8240 - val_loss: 0.7551 - val_acc: 0.8328 Epoch 764/5000 14s 28ms/step - loss: 0.7903 - acc: 0.8215 - val_loss: 0.7129 - val_acc: 0.8507 Epoch 765/5000 14s 28ms/step - loss: 0.7812 - acc: 0.8241 - val_loss: 0.7170 - val_acc: 0.8483 Epoch 766/5000 14s 28ms/step - loss: 0.7829 - acc: 0.8227 - val_loss: 0.7177 - val_acc: 0.8476 Epoch 767/5000 14s 28ms/step - loss: 0.7811 - acc: 0.8251 - val_loss: 0.7173 - val_acc: 0.8526 Epoch 768/5000 14s 28ms/step - loss: 0.7806 - acc: 0.8252 - val_loss: 0.7297 - val_acc: 0.8457 Epoch 769/5000 14s 28ms/step - loss: 0.7792 - acc: 0.8247 - val_loss: 0.7204 - val_acc: 0.8475 Epoch 770/5000 14s 28ms/step - loss: 0.7893 - acc: 0.8204 - val_loss: 0.7083 - val_acc: 0.8540 Epoch 771/5000 14s 28ms/step - loss: 0.7832 - acc: 0.8246 - val_loss: 0.7318 - val_acc: 0.8437 Epoch 772/5000 14s 28ms/step - loss: 0.7831 - acc: 0.8239 - val_loss: 0.7283 - val_acc: 0.8481 Epoch 773/5000 14s 28ms/step - loss: 0.7847 - acc: 0.8220 - val_loss: 0.7225 - val_acc: 0.8482 Epoch 774/5000 14s 28ms/step - loss: 0.7766 - acc: 0.8246 - val_loss: 0.7225 - val_acc: 0.8454 Epoch 775/5000 14s 28ms/step - loss: 0.7832 - acc: 0.8248 - val_loss: 0.7137 - val_acc: 0.8502 Epoch 776/5000 14s 28ms/step - loss: 0.7778 - acc: 0.8228 - val_loss: 0.7212 - val_acc: 0.8467 Epoch 777/5000 14s 28ms/step - loss: 0.7782 - acc: 0.8244 - val_loss: 0.7470 - val_acc: 0.8395 Epoch 778/5000 14s 28ms/step - loss: 0.7806 - acc: 0.8254 - val_loss: 0.7177 - val_acc: 0.8476 Epoch 779/5000 14s 28ms/step - loss: 0.7839 - acc: 0.8252 - val_loss: 0.7398 - val_acc: 0.8406 Epoch 780/5000 14s 28ms/step - loss: 0.7834 - acc: 0.8249 - val_loss: 0.7253 - val_acc: 0.8429 Epoch 781/5000 14s 28ms/step - loss: 0.7815 - acc: 0.8234 - val_loss: 0.7426 - val_acc: 0.8399 Epoch 782/5000 14s 28ms/step - loss: 0.7802 - acc: 0.8246 - val_loss: 0.6874 - val_acc: 0.8599 Epoch 783/5000 14s 28ms/step - loss: 0.7774 - acc: 0.8257 - val_loss: 0.7227 - val_acc: 0.8448 Epoch 784/5000 14s 28ms/step - loss: 0.7809 - acc: 0.8248 - val_loss: 0.7142 - val_acc: 0.8524 Epoch 785/5000 14s 28ms/step - loss: 0.7837 - acc: 0.8240 - val_loss: 0.7227 - val_acc: 0.8454 Epoch 786/5000 14s 28ms/step - loss: 0.7819 - acc: 0.8239 - val_loss: 0.7005 - val_acc: 0.8533 Epoch 787/5000 14s 28ms/step - loss: 0.7764 - acc: 0.8267 - val_loss: 0.7127 - val_acc: 0.8516 Epoch 788/5000 14s 28ms/step - loss: 0.7845 - acc: 0.8236 - val_loss: 0.7140 - val_acc: 0.8466 Epoch 789/5000 14s 28ms/step - loss: 0.7874 - acc: 0.8224 - val_loss: 0.7294 - val_acc: 0.8432 Epoch 790/5000 14s 28ms/step - loss: 0.7804 - acc: 0.8246 - val_loss: 0.7202 - val_acc: 0.8457 Epoch 791/5000 14s 28ms/step - loss: 0.7788 - acc: 0.8250 - val_loss: 0.7000 - val_acc: 0.8514 Epoch 792/5000 14s 28ms/step - loss: 0.7833 - acc: 0.8227 - val_loss: 0.7244 - val_acc: 0.8460 Epoch 793/5000 14s 28ms/step - loss: 0.7792 - acc: 0.8252 - val_loss: 0.7233 - val_acc: 0.8484 Epoch 794/5000 14s 28ms/step - loss: 0.7741 - acc: 0.8259 - val_loss: 0.7221 - val_acc: 0.8484 Epoch 795/5000 14s 28ms/step - loss: 0.7801 - acc: 0.8245 - val_loss: 0.7174 - val_acc: 0.8518 Epoch 796/5000 14s 28ms/step - loss: 0.7803 - acc: 0.8260 - val_loss: 0.7172 - val_acc: 0.8499 Epoch 797/5000 14s 28ms/step - loss: 0.7811 - acc: 0.8234 - val_loss: 0.7316 - val_acc: 0.8468 Epoch 798/5000 14s 28ms/step - loss: 0.7838 - acc: 0.8235 - val_loss: 0.7206 - val_acc: 0.8448 Epoch 799/5000 14s 28ms/step - loss: 0.7803 - acc: 0.8237 - val_loss: 0.7139 - val_acc: 0.8509 Epoch 800/5000 14s 28ms/step - loss: 0.7806 - acc: 0.8239 - val_loss: 0.7115 - val_acc: 0.8491 Epoch 801/5000 14s 28ms/step - loss: 0.7788 - acc: 0.8257 - val_loss: 0.7374 - val_acc: 0.8385 Epoch 802/5000 14s 28ms/step - loss: 0.7828 - acc: 0.8241 - val_loss: 0.7166 - val_acc: 0.8526 Epoch 803/5000 14s 28ms/step - loss: 0.7870 - acc: 0.8208 - val_loss: 0.7066 - val_acc: 0.8491 Epoch 804/5000 14s 28ms/step - loss: 0.7838 - acc: 0.8248 - val_loss: 0.7172 - val_acc: 0.8477 Epoch 805/5000 14s 28ms/step - loss: 0.7816 - acc: 0.8237 - val_loss: 0.7226 - val_acc: 0.8497 Epoch 806/5000 14s 28ms/step - loss: 0.7777 - acc: 0.8242 - val_loss: 0.7323 - val_acc: 0.8410 Epoch 807/5000 14s 28ms/step - loss: 0.7771 - acc: 0.8245 - val_loss: 0.7329 - val_acc: 0.8443 Epoch 808/5000 14s 28ms/step - loss: 0.7825 - acc: 0.8244 - val_loss: 0.7174 - val_acc: 0.8462 Epoch 809/5000 14s 28ms/step - loss: 0.7783 - acc: 0.8251 - val_loss: 0.7005 - val_acc: 0.8534 Epoch 810/5000 14s 28ms/step - loss: 0.7828 - acc: 0.8244 - val_loss: 0.7229 - val_acc: 0.8474 Epoch 811/5000 14s 28ms/step - loss: 0.7804 - acc: 0.8242 - val_loss: 0.7527 - val_acc: 0.8373 Epoch 812/5000 14s 28ms/step - loss: 0.7861 - acc: 0.8230 - val_loss: 0.7435 - val_acc: 0.8425 Epoch 813/5000 14s 28ms/step - loss: 0.7795 - acc: 0.8236 - val_loss: 0.7270 - val_acc: 0.8464 Epoch 814/5000 14s 28ms/step - loss: 0.7807 - acc: 0.8229 - val_loss: 0.7087 - val_acc: 0.8525 Epoch 815/5000 14s 28ms/step - loss: 0.7810 - acc: 0.8242 - val_loss: 0.7209 - val_acc: 0.8492 Epoch 816/5000 14s 28ms/step - loss: 0.7826 - acc: 0.8240 - val_loss: 0.7426 - val_acc: 0.8409 Epoch 817/5000 14s 28ms/step - loss: 0.7763 - acc: 0.8243 - val_loss: 0.7202 - val_acc: 0.8462 Epoch 818/5000 14s 28ms/step - loss: 0.7841 - acc: 0.8246 - val_loss: 0.7022 - val_acc: 0.8530 Epoch 819/5000 14s 28ms/step - loss: 0.7787 - acc: 0.8252 - val_loss: 0.7151 - val_acc: 0.8481 Epoch 820/5000 14s 28ms/step - loss: 0.7792 - acc: 0.8244 - val_loss: 0.7048 - val_acc: 0.8545 Epoch 821/5000 14s 28ms/step - loss: 0.7834 - acc: 0.8231 - val_loss: 0.7229 - val_acc: 0.8458 Epoch 822/5000 14s 28ms/step - loss: 0.7774 - acc: 0.8260 - val_loss: 0.7032 - val_acc: 0.8534 Epoch 823/5000 14s 28ms/step - loss: 0.7768 - acc: 0.8285 - val_loss: 0.7006 - val_acc: 0.8538 Epoch 824/5000 14s 28ms/step - loss: 0.7765 - acc: 0.8265 - val_loss: 0.7072 - val_acc: 0.8521 Epoch 825/5000 14s 28ms/step - loss: 0.7805 - acc: 0.8233 - val_loss: 0.7227 - val_acc: 0.8474 Epoch 826/5000 14s 28ms/step - loss: 0.7779 - acc: 0.8256 - val_loss: 0.7080 - val_acc: 0.8503 Epoch 827/5000 14s 28ms/step - loss: 0.7800 - acc: 0.8241 - val_loss: 0.7094 - val_acc: 0.8480 Epoch 828/5000 14s 28ms/step - loss: 0.7796 - acc: 0.8236 - val_loss: 0.7105 - val_acc: 0.8499 Epoch 829/5000 14s 28ms/step - loss: 0.7782 - acc: 0.8246 - val_loss: 0.7168 - val_acc: 0.8464 Epoch 830/5000 14s 28ms/step - loss: 0.7806 - acc: 0.8233 - val_loss: 0.7130 - val_acc: 0.8471 Epoch 831/5000 14s 28ms/step - loss: 0.7784 - acc: 0.8242 - val_loss: 0.7091 - val_acc: 0.8464 Epoch 832/5000 14s 28ms/step - loss: 0.7839 - acc: 0.8239 - val_loss: 0.7287 - val_acc: 0.8429 Epoch 833/5000 14s 28ms/step - loss: 0.7779 - acc: 0.8259 - val_loss: 0.7162 - val_acc: 0.8485 Epoch 834/5000 14s 28ms/step - loss: 0.7814 - acc: 0.8255 - val_loss: 0.7113 - val_acc: 0.8481 Epoch 835/5000 14s 28ms/step - loss: 0.7797 - acc: 0.8249 - val_loss: 0.7283 - val_acc: 0.8447 Epoch 836/5000 14s 28ms/step - loss: 0.7860 - acc: 0.8239 - val_loss: 0.7272 - val_acc: 0.8399 Epoch 837/5000 14s 28ms/step - loss: 0.7809 - acc: 0.8228 - val_loss: 0.7195 - val_acc: 0.8448 Epoch 838/5000 14s 28ms/step - loss: 0.7773 - acc: 0.8238 - val_loss: 0.7253 - val_acc: 0.8416 Epoch 839/5000 14s 28ms/step - loss: 0.7824 - acc: 0.8253 - val_loss: 0.7327 - val_acc: 0.8461 Epoch 840/5000 14s 28ms/step - loss: 0.7765 - acc: 0.8258 - val_loss: 0.7081 - val_acc: 0.8485 Epoch 841/5000 14s 28ms/step - loss: 0.7802 - acc: 0.8243 - val_loss: 0.7072 - val_acc: 0.8497 Epoch 842/5000 14s 28ms/step - loss: 0.7830 - acc: 0.8221 - val_loss: 0.7185 - val_acc: 0.8489 Epoch 843/5000 14s 28ms/step - loss: 0.7797 - acc: 0.8243 - val_loss: 0.7171 - val_acc: 0.8488 Epoch 844/5000 14s 28ms/step - loss: 0.7801 - acc: 0.8244 - val_loss: 0.7162 - val_acc: 0.8472 Epoch 845/5000 14s 28ms/step - loss: 0.7801 - acc: 0.8238 - val_loss: 0.7266 - val_acc: 0.8437 Epoch 846/5000 14s 28ms/step - loss: 0.7795 - acc: 0.8260 - val_loss: 0.7141 - val_acc: 0.8452 Epoch 847/5000 14s 28ms/step - loss: 0.7825 - acc: 0.8233 - val_loss: 0.7494 - val_acc: 0.8373 Epoch 848/5000 14s 28ms/step - loss: 0.7818 - acc: 0.8231 - val_loss: 0.7374 - val_acc: 0.8453 Epoch 849/5000 14s 28ms/step - loss: 0.7832 - acc: 0.8234 - val_loss: 0.7021 - val_acc: 0.8535 Epoch 850/5000 14s 28ms/step - loss: 0.7826 - acc: 0.8231 - val_loss: 0.7120 - val_acc: 0.8495 Epoch 851/5000 14s 28ms/step - loss: 0.7858 - acc: 0.8228 - val_loss: 0.7365 - val_acc: 0.8417 Epoch 852/5000 14s 28ms/step - loss: 0.7834 - acc: 0.8234 - val_loss: 0.7074 - val_acc: 0.8555 Epoch 853/5000 14s 28ms/step - loss: 0.7841 - acc: 0.8229 - val_loss: 0.7089 - val_acc: 0.8523 Epoch 854/5000 14s 28ms/step - loss: 0.7810 - acc: 0.8222 - val_loss: 0.7109 - val_acc: 0.8525 Epoch 855/5000 14s 28ms/step - loss: 0.7758 - acc: 0.8269 - val_loss: 0.7126 - val_acc: 0.8486 Epoch 856/5000 14s 28ms/step - loss: 0.7869 - acc: 0.8235 - val_loss: 0.7143 - val_acc: 0.8475 Epoch 857/5000 14s 28ms/step - loss: 0.7773 - acc: 0.8251 - val_loss: 0.6890 - val_acc: 0.8624 Epoch 858/5000 14s 28ms/step - loss: 0.7847 - acc: 0.8225 - val_loss: 0.7095 - val_acc: 0.8526 Epoch 859/5000 14s 28ms/step - loss: 0.7844 - acc: 0.8246 - val_loss: 0.7208 - val_acc: 0.8506 Epoch 860/5000 14s 28ms/step - loss: 0.7820 - acc: 0.8249 - val_loss: 0.7156 - val_acc: 0.8440 Epoch 861/5000 14s 28ms/step - loss: 0.7761 - acc: 0.8252 - val_loss: 0.7047 - val_acc: 0.8493 Epoch 862/5000 14s 28ms/step - loss: 0.7827 - acc: 0.8228 - val_loss: 0.6973 - val_acc: 0.8560 Epoch 863/5000 14s 28ms/step - loss: 0.7832 - acc: 0.8227 - val_loss: 0.7305 - val_acc: 0.8465 Epoch 864/5000 14s 28ms/step - loss: 0.7874 - acc: 0.8219 - val_loss: 0.7195 - val_acc: 0.8482 Epoch 865/5000 14s 28ms/step - loss: 0.7773 - acc: 0.8240 - val_loss: 0.6973 - val_acc: 0.8539 Epoch 866/5000 14s 28ms/step - loss: 0.7804 - acc: 0.8232 - val_loss: 0.7176 - val_acc: 0.8470 Epoch 867/5000 14s 28ms/step - loss: 0.7847 - acc: 0.8230 - val_loss: 0.7182 - val_acc: 0.8496 Epoch 868/5000 14s 28ms/step - loss: 0.7797 - acc: 0.8230 - val_loss: 0.7030 - val_acc: 0.8497 Epoch 869/5000 14s 28ms/step - loss: 0.7821 - acc: 0.8227 - val_loss: 0.7124 - val_acc: 0.8506 Epoch 870/5000 14s 28ms/step - loss: 0.7804 - acc: 0.8247 - val_loss: 0.7173 - val_acc: 0.8465 Epoch 871/5000 14s 28ms/step - loss: 0.7797 - acc: 0.8246 - val_loss: 0.7341 - val_acc: 0.8417 Epoch 872/5000 14s 28ms/step - loss: 0.7821 - acc: 0.8256 - val_loss: 0.7237 - val_acc: 0.8469 Epoch 873/5000 14s 28ms/step - loss: 0.7762 - acc: 0.8260 - val_loss: 0.7080 - val_acc: 0.8503 Epoch 874/5000 14s 28ms/step - loss: 0.7849 - acc: 0.8229 - val_loss: 0.7202 - val_acc: 0.8450 Epoch 875/5000 14s 28ms/step - loss: 0.7809 - acc: 0.8263 - val_loss: 0.7264 - val_acc: 0.8504 Epoch 876/5000 14s 28ms/step - loss: 0.7810 - acc: 0.8239 - val_loss: 0.7219 - val_acc: 0.8499 Epoch 877/5000 14s 28ms/step - loss: 0.7803 - acc: 0.8240 - val_loss: 0.7327 - val_acc: 0.8421 Epoch 878/5000 14s 28ms/step - loss: 0.7800 - acc: 0.8250 - val_loss: 0.7104 - val_acc: 0.8508 Epoch 879/5000 14s 28ms/step - loss: 0.7804 - acc: 0.8250 - val_loss: 0.7094 - val_acc: 0.8508 Epoch 880/5000 14s 28ms/step - loss: 0.7850 - acc: 0.8223 - val_loss: 0.7199 - val_acc: 0.8519 Epoch 881/5000 14s 28ms/step - loss: 0.7810 - acc: 0.8252 - val_loss: 0.7030 - val_acc: 0.8562 Epoch 882/5000 14s 28ms/step - loss: 0.7782 - acc: 0.8259 - val_loss: 0.7353 - val_acc: 0.8411 Epoch 883/5000 14s 28ms/step - loss: 0.7773 - acc: 0.8265 - val_loss: 0.6957 - val_acc: 0.8559 Epoch 884/5000 14s 28ms/step - loss: 0.7799 - acc: 0.8237 - val_loss: 0.7225 - val_acc: 0.8471 Epoch 885/5000 14s 28ms/step - loss: 0.7769 - acc: 0.8262 - val_loss: 0.7133 - val_acc: 0.8527 Epoch 886/5000 14s 28ms/step - loss: 0.7843 - acc: 0.8240 - val_loss: 0.7235 - val_acc: 0.8465 Epoch 887/5000 14s 28ms/step - loss: 0.7773 - acc: 0.8268 - val_loss: 0.7314 - val_acc: 0.8444 Epoch 888/5000 14s 28ms/step - loss: 0.7817 - acc: 0.8246 - val_loss: 0.7176 - val_acc: 0.8507 Epoch 889/5000 14s 28ms/step - loss: 0.7822 - acc: 0.8242 - val_loss: 0.7156 - val_acc: 0.8492 Epoch 890/5000 14s 28ms/step - loss: 0.7752 - acc: 0.8253 - val_loss: 0.7359 - val_acc: 0.8421 Epoch 891/5000 14s 28ms/step - loss: 0.7781 - acc: 0.8258 - val_loss: 0.7158 - val_acc: 0.8493 Epoch 892/5000 14s 28ms/step - loss: 0.7846 - acc: 0.8216 - val_loss: 0.7205 - val_acc: 0.8487 Epoch 893/5000 14s 28ms/step - loss: 0.7845 - acc: 0.8219 - val_loss: 0.6983 - val_acc: 0.8532 Epoch 894/5000 14s 28ms/step - loss: 0.7838 - acc: 0.8248 - val_loss: 0.7096 - val_acc: 0.8520 Epoch 895/5000 14s 28ms/step - loss: 0.7798 - acc: 0.8243 - val_loss: 0.7106 - val_acc: 0.8537 Epoch 896/5000 14s 28ms/step - loss: 0.7801 - acc: 0.8242 - val_loss: 0.7180 - val_acc: 0.8467 Epoch 897/5000 14s 28ms/step - loss: 0.7794 - acc: 0.8237 - val_loss: 0.7227 - val_acc: 0.8476 Epoch 898/5000 14s 28ms/step - loss: 0.7789 - acc: 0.8239 - val_loss: 0.7105 - val_acc: 0.8513 Epoch 899/5000 14s 28ms/step - loss: 0.7794 - acc: 0.8241 - val_loss: 0.7178 - val_acc: 0.8511 Epoch 900/5000 14s 28ms/step - loss: 0.7776 - acc: 0.8250 - val_loss: 0.7270 - val_acc: 0.8480 Epoch 901/5000 14s 28ms/step - loss: 0.7824 - acc: 0.8226 - val_loss: 0.7174 - val_acc: 0.8452 Epoch 902/5000 14s 28ms/step - loss: 0.7822 - acc: 0.8237 - val_loss: 0.6972 - val_acc: 0.8520 Epoch 903/5000 14s 28ms/step - loss: 0.7742 - acc: 0.8251 - val_loss: 0.7054 - val_acc: 0.8521 Epoch 904/5000 14s 28ms/step - loss: 0.7781 - acc: 0.8244 - val_loss: 0.7166 - val_acc: 0.8510 Epoch 905/5000 14s 28ms/step - loss: 0.7801 - acc: 0.8235 - val_loss: 0.7097 - val_acc: 0.8490 Epoch 906/5000 14s 28ms/step - loss: 0.7778 - acc: 0.8253 - val_loss: 0.7309 - val_acc: 0.8442 Epoch 907/5000 14s 28ms/step - loss: 0.7814 - acc: 0.8254 - val_loss: 0.7039 - val_acc: 0.8514 Epoch 908/5000 14s 28ms/step - loss: 0.7799 - acc: 0.8246 - val_loss: 0.7347 - val_acc: 0.8395 Epoch 909/5000 14s 28ms/step - loss: 0.7739 - acc: 0.8261 - val_loss: 0.7010 - val_acc: 0.8542 Epoch 910/5000 14s 28ms/step - loss: 0.7797 - acc: 0.8248 - val_loss: 0.7322 - val_acc: 0.8428 Epoch 911/5000 14s 28ms/step - loss: 0.7788 - acc: 0.8253 - val_loss: 0.7366 - val_acc: 0.8418 Epoch 912/5000 14s 28ms/step - loss: 0.7861 - acc: 0.8226 - val_loss: 0.7011 - val_acc: 0.8568 Epoch 913/5000 14s 28ms/step - loss: 0.7801 - acc: 0.8244 - val_loss: 0.6968 - val_acc: 0.8560 Epoch 914/5000 14s 28ms/step - loss: 0.7812 - acc: 0.8238 - val_loss: 0.7325 - val_acc: 0.8383 Epoch 915/5000 14s 28ms/step - loss: 0.7781 - acc: 0.8239 - val_loss: 0.7323 - val_acc: 0.8416 Epoch 916/5000 14s 28ms/step - loss: 0.7773 - acc: 0.8245 - val_loss: 0.7187 - val_acc: 0.8464 Epoch 917/5000 14s 28ms/step - loss: 0.7746 - acc: 0.8262 - val_loss: 0.7141 - val_acc: 0.8484 Epoch 918/5000 14s 28ms/step - loss: 0.7820 - acc: 0.8229 - val_loss: 0.7188 - val_acc: 0.8476 Epoch 919/5000 14s 28ms/step - loss: 0.7798 - acc: 0.8227 - val_loss: 0.7166 - val_acc: 0.8459 Epoch 920/5000 14s 28ms/step - loss: 0.7801 - acc: 0.8248 - val_loss: 0.7265 - val_acc: 0.8438 Epoch 921/5000 14s 28ms/step - loss: 0.7773 - acc: 0.8257 - val_loss: 0.7139 - val_acc: 0.8456 Epoch 922/5000 14s 28ms/step - loss: 0.7853 - acc: 0.8236 - val_loss: 0.7258 - val_acc: 0.8431 Epoch 923/5000 14s 28ms/step - loss: 0.7806 - acc: 0.8232 - val_loss: 0.7302 - val_acc: 0.8440 Epoch 924/5000 14s 28ms/step - loss: 0.7784 - acc: 0.8245 - val_loss: 0.7190 - val_acc: 0.8476 Epoch 925/5000 14s 28ms/step - loss: 0.7818 - acc: 0.8227 - val_loss: 0.7139 - val_acc: 0.8480 Epoch 926/5000 14s 28ms/step - loss: 0.7779 - acc: 0.8267 - val_loss: 0.7152 - val_acc: 0.8533 Epoch 927/5000 15s 29ms/step - loss: 0.7790 - acc: 0.8242 - val_loss: 0.7014 - val_acc: 0.8520 Epoch 928/5000 14s 28ms/step - loss: 0.7787 - acc: 0.8264 - val_loss: 0.7274 - val_acc: 0.8445 Epoch 929/5000 14s 28ms/step - loss: 0.7769 - acc: 0.8246 - val_loss: 0.7101 - val_acc: 0.8457 Epoch 930/5000 14s 29ms/step - loss: 0.7826 - acc: 0.8242 - val_loss: 0.7131 - val_acc: 0.8502 Epoch 931/5000 14s 29ms/step - loss: 0.7770 - acc: 0.8260 - val_loss: 0.7165 - val_acc: 0.8492 Epoch 932/5000 14s 29ms/step - loss: 0.7812 - acc: 0.8240 - val_loss: 0.7143 - val_acc: 0.8517 Epoch 933/5000 14s 29ms/step - loss: 0.7774 - acc: 0.8250 - val_loss: 0.6973 - val_acc: 0.8551 Epoch 934/5000 14s 29ms/step - loss: 0.7747 - acc: 0.8256 - val_loss: 0.7229 - val_acc: 0.8469 Epoch 935/5000 14s 29ms/step - loss: 0.7803 - acc: 0.8248 - val_loss: 0.7103 - val_acc: 0.8532 Epoch 936/5000 14s 29ms/step - loss: 0.7770 - acc: 0.8273 - val_loss: 0.7221 - val_acc: 0.8475 Epoch 937/5000 14s 28ms/step - loss: 0.7828 - acc: 0.8241 - val_loss: 0.7053 - val_acc: 0.8541 Epoch 938/5000 14s 29ms/step - loss: 0.7760 - acc: 0.8251 - val_loss: 0.7360 - val_acc: 0.8417 Epoch 939/5000 14s 29ms/step - loss: 0.7789 - acc: 0.8248 - val_loss: 0.7297 - val_acc: 0.8446 Epoch 940/5000 14s 29ms/step - loss: 0.7808 - acc: 0.8250 - val_loss: 0.7342 - val_acc: 0.8445 Epoch 941/5000 14s 29ms/step - loss: 0.7798 - acc: 0.8247 - val_loss: 0.7191 - val_acc: 0.8469 Epoch 942/5000 14s 29ms/step - loss: 0.7810 - acc: 0.8243 - val_loss: 0.7038 - val_acc: 0.8537 Epoch 943/5000 14s 29ms/step - loss: 0.7766 - acc: 0.8234 - val_loss: 0.7158 - val_acc: 0.8497 Epoch 944/5000 14s 28ms/step - loss: 0.7749 - acc: 0.8285 - val_loss: 0.7142 - val_acc: 0.8502 Epoch 945/5000 14s 28ms/step - loss: 0.7757 - acc: 0.8276 - val_loss: 0.7203 - val_acc: 0.8459 Epoch 946/5000 14s 28ms/step - loss: 0.7853 - acc: 0.8229 - val_loss: 0.7134 - val_acc: 0.8510 Epoch 947/5000 14s 28ms/step - loss: 0.7785 - acc: 0.8253 - val_loss: 0.7214 - val_acc: 0.8443 Epoch 948/5000 14s 28ms/step - loss: 0.7776 - acc: 0.8260 - val_loss: 0.7191 - val_acc: 0.8467 Epoch 949/5000 14s 28ms/step - loss: 0.7815 - acc: 0.8235 - val_loss: 0.7117 - val_acc: 0.8541 Epoch 950/5000 14s 28ms/step - loss: 0.7805 - acc: 0.8250 - val_loss: 0.7047 - val_acc: 0.8485 Epoch 951/5000 14s 28ms/step - loss: 0.7816 - acc: 0.8244 - val_loss: 0.7113 - val_acc: 0.8516 Epoch 952/5000 14s 28ms/step - loss: 0.7752 - acc: 0.8263 - val_loss: 0.7217 - val_acc: 0.8486 Epoch 953/5000 14s 28ms/step - loss: 0.7805 - acc: 0.8238 - val_loss: 0.7264 - val_acc: 0.8471 Epoch 954/5000 14s 28ms/step - loss: 0.7809 - acc: 0.8240 - val_loss: 0.7176 - val_acc: 0.8461 Epoch 955/5000 14s 28ms/step - loss: 0.7737 - acc: 0.8266 - val_loss: 0.7265 - val_acc: 0.8421 Epoch 956/5000 14s 28ms/step - loss: 0.7777 - acc: 0.8255 - val_loss: 0.7178 - val_acc: 0.8502 Epoch 957/5000 14s 28ms/step - loss: 0.7841 - acc: 0.8241 - val_loss: 0.7262 - val_acc: 0.8425 Epoch 958/5000 14s 28ms/step - loss: 0.7793 - acc: 0.8251 - val_loss: 0.7250 - val_acc: 0.8396 Epoch 959/5000 14s 28ms/step - loss: 0.7811 - acc: 0.8235 - val_loss: 0.7398 - val_acc: 0.8405 Epoch 960/5000 14s 28ms/step - loss: 0.7792 - acc: 0.8248 - val_loss: 0.7114 - val_acc: 0.8484 Epoch 961/5000 14s 28ms/step - loss: 0.7858 - acc: 0.8233 - val_loss: 0.7259 - val_acc: 0.8452 Epoch 962/5000 14s 28ms/step - loss: 0.7799 - acc: 0.8230 - val_loss: 0.7461 - val_acc: 0.8352 Epoch 963/5000 14s 29ms/step - loss: 0.7783 - acc: 0.8257 - val_loss: 0.7260 - val_acc: 0.8460 Epoch 964/5000 14s 29ms/step - loss: 0.7831 - acc: 0.8224 - val_loss: 0.6883 - val_acc: 0.8593 Epoch 965/5000 14s 29ms/step - loss: 0.7790 - acc: 0.8229 - val_loss: 0.7218 - val_acc: 0.8459 Epoch 966/5000 14s 29ms/step - loss: 0.7783 - acc: 0.8247 - val_loss: 0.7211 - val_acc: 0.8505 Epoch 967/5000 14s 29ms/step - loss: 0.7743 - acc: 0.8274 - val_loss: 0.7158 - val_acc: 0.8510 Epoch 968/5000 14s 29ms/step - loss: 0.7791 - acc: 0.8225 - val_loss: 0.7430 - val_acc: 0.8424 Epoch 969/5000 14s 29ms/step - loss: 0.7774 - acc: 0.8251 - val_loss: 0.7204 - val_acc: 0.8523 Epoch 970/5000 14s 29ms/step - loss: 0.7749 - acc: 0.8244 - val_loss: 0.7635 - val_acc: 0.8290 Epoch 971/5000 14s 29ms/step - loss: 0.7794 - acc: 0.8254 - val_loss: 0.7212 - val_acc: 0.8459 Epoch 972/5000 14s 29ms/step - loss: 0.7794 - acc: 0.8255 - val_loss: 0.7031 - val_acc: 0.8499 Epoch 973/5000 14s 29ms/step - loss: 0.7798 - acc: 0.8234 - val_loss: 0.7360 - val_acc: 0.8424 Epoch 974/5000 14s 29ms/step - loss: 0.7814 - acc: 0.8276 - val_loss: 0.7231 - val_acc: 0.8518 Epoch 975/5000 14s 29ms/step - loss: 0.7846 - acc: 0.8230 - val_loss: 0.7012 - val_acc: 0.8543 Epoch 976/5000 14s 29ms/step - loss: 0.7787 - acc: 0.8267 - val_loss: 0.7313 - val_acc: 0.8431 Epoch 977/5000 14s 29ms/step - loss: 0.7765 - acc: 0.8266 - val_loss: 0.7172 - val_acc: 0.8510 Epoch 978/5000 14s 29ms/step - loss: 0.7816 - acc: 0.8226 - val_loss: 0.7083 - val_acc: 0.8525 Epoch 979/5000 14s 29ms/step - loss: 0.7845 - acc: 0.8240 - val_loss: 0.7105 - val_acc: 0.8517 Epoch 980/5000 14s 29ms/step - loss: 0.7844 - acc: 0.8234 - val_loss: 0.7149 - val_acc: 0.8473 Epoch 981/5000 14s 29ms/step - loss: 0.7819 - acc: 0.8255 - val_loss: 0.7239 - val_acc: 0.8493 Epoch 982/5000 14s 29ms/step - loss: 0.7810 - acc: 0.8244 - val_loss: 0.7355 - val_acc: 0.8443 Epoch 983/5000 14s 29ms/step - loss: 0.7825 - acc: 0.8237 - val_loss: 0.7261 - val_acc: 0.8431 Epoch 984/5000 14s 29ms/step - loss: 0.7780 - acc: 0.8252 - val_loss: 0.7254 - val_acc: 0.8457 Epoch 985/5000 14s 29ms/step - loss: 0.7823 - acc: 0.8232 - val_loss: 0.7270 - val_acc: 0.8454 Epoch 986/5000 14s 29ms/step - loss: 0.7749 - acc: 0.8283 - val_loss: 0.7009 - val_acc: 0.8570 Epoch 987/5000 14s 29ms/step - loss: 0.7762 - acc: 0.8244 - val_loss: 0.7412 - val_acc: 0.8425 Epoch 988/5000 14s 29ms/step - loss: 0.7781 - acc: 0.8241 - val_loss: 0.7306 - val_acc: 0.8423 Epoch 989/5000 14s 29ms/step - loss: 0.7792 - acc: 0.8239 - val_loss: 0.7388 - val_acc: 0.8426 Epoch 990/5000 14s 29ms/step - loss: 0.7819 - acc: 0.8240 - val_loss: 0.7208 - val_acc: 0.8469 Epoch 991/5000 14s 29ms/step - loss: 0.7777 - acc: 0.8255 - val_loss: 0.7487 - val_acc: 0.8369 Epoch 992/5000 14s 29ms/step - loss: 0.7858 - acc: 0.8223 - val_loss: 0.7234 - val_acc: 0.8483 Epoch 993/5000 14s 29ms/step - loss: 0.7829 - acc: 0.8223 - val_loss: 0.6959 - val_acc: 0.8574 Epoch 994/5000 14s 29ms/step - loss: 0.7779 - acc: 0.8273 - val_loss: 0.7067 - val_acc: 0.8490 Epoch 995/5000 14s 29ms/step - loss: 0.7805 - acc: 0.8252 - val_loss: 0.7195 - val_acc: 0.8481 Epoch 996/5000 14s 29ms/step - loss: 0.7781 - acc: 0.8259 - val_loss: 0.7349 - val_acc: 0.8419 Epoch 997/5000 14s 29ms/step - loss: 0.7790 - acc: 0.8245 - val_loss: 0.7397 - val_acc: 0.8435 Epoch 998/5000 14s 29ms/step - loss: 0.7830 - acc: 0.8242 - val_loss: 0.7082 - val_acc: 0.8482 Epoch 999/5000 14s 29ms/step - loss: 0.7783 - acc: 0.8254 - val_loss: 0.7019 - val_acc: 0.8525 Epoch 1000/5000 14s 29ms/step - loss: 0.7797 - acc: 0.8233 - val_loss: 0.7401 - val_acc: 0.8410 Epoch 1001/5000 14s 29ms/step - loss: 0.7790 - acc: 0.8245 - val_loss: 0.7112 - val_acc: 0.8519 Epoch 1002/5000 14s 29ms/step - loss: 0.7789 - acc: 0.8248 - val_loss: 0.7175 - val_acc: 0.8467 Epoch 1003/5000 14s 29ms/step - loss: 0.7805 - acc: 0.8244 - val_loss: 0.7222 - val_acc: 0.8446 Epoch 1004/5000 14s 29ms/step - loss: 0.7802 - acc: 0.8257 - val_loss: 0.7068 - val_acc: 0.8480 Epoch 1005/5000 14s 29ms/step - loss: 0.7844 - acc: 0.8238 - val_loss: 0.7358 - val_acc: 0.8437 Epoch 1006/5000 14s 29ms/step - loss: 0.7751 - acc: 0.8261 - val_loss: 0.7125 - val_acc: 0.8507 Epoch 1007/5000 14s 29ms/step - loss: 0.7783 - acc: 0.8266 - val_loss: 0.7003 - val_acc: 0.8556 Epoch 1008/5000 14s 29ms/step - loss: 0.7743 - acc: 0.8262 - val_loss: 0.7247 - val_acc: 0.8475 Epoch 1009/5000 14s 29ms/step - loss: 0.7791 - acc: 0.8236 - val_loss: 0.7057 - val_acc: 0.8531 Epoch 1010/5000 14s 29ms/step - loss: 0.7748 - acc: 0.8265 - val_loss: 0.7362 - val_acc: 0.8432 Epoch 1011/5000 14s 29ms/step - loss: 0.7807 - acc: 0.8239 - val_loss: 0.7104 - val_acc: 0.8481 Epoch 1012/5000 14s 29ms/step - loss: 0.7834 - acc: 0.8236 - val_loss: 0.6972 - val_acc: 0.8531 Epoch 1013/5000 14s 29ms/step - loss: 0.7806 - acc: 0.8236 - val_loss: 0.7255 - val_acc: 0.8440 Epoch 1014/5000 14s 29ms/step - loss: 0.7790 - acc: 0.8237 - val_loss: 0.7018 - val_acc: 0.8494 Epoch 1015/5000 14s 29ms/step - loss: 0.7799 - acc: 0.8236 - val_loss: 0.7155 - val_acc: 0.8487 Epoch 1016/5000 14s 28ms/step - loss: 0.7833 - acc: 0.8235 - val_loss: 0.7130 - val_acc: 0.8474 Epoch 1017/5000 14s 28ms/step - loss: 0.7816 - acc: 0.8231 - val_loss: 0.7271 - val_acc: 0.8450 Epoch 1018/5000 14s 28ms/step - loss: 0.7818 - acc: 0.8236 - val_loss: 0.7161 - val_acc: 0.8496 Epoch 1019/5000 14s 28ms/step - loss: 0.7763 - acc: 0.8253 - val_loss: 0.7211 - val_acc: 0.8461 Epoch 1020/5000 14s 29ms/step - loss: 0.7785 - acc: 0.8242 - val_loss: 0.7382 - val_acc: 0.8436 Epoch 1021/5000 14s 29ms/step - loss: 0.7789 - acc: 0.8266 - val_loss: 0.6980 - val_acc: 0.8530 Epoch 1022/5000 14s 29ms/step - loss: 0.7788 - acc: 0.8228 - val_loss: 0.7033 - val_acc: 0.8538 Epoch 1023/5000 14s 29ms/step - loss: 0.7788 - acc: 0.8242 - val_loss: 0.6995 - val_acc: 0.8549 Epoch 1024/5000 14s 29ms/step - loss: 0.7774 - acc: 0.8250 - val_loss: 0.6947 - val_acc: 0.8555 Epoch 1025/5000 14s 29ms/step - loss: 0.7794 - acc: 0.8236 - val_loss: 0.7180 - val_acc: 0.8468 Epoch 1026/5000 14s 29ms/step - loss: 0.7758 - acc: 0.8269 - val_loss: 0.7098 - val_acc: 0.8508 Epoch 1027/5000 14s 29ms/step - loss: 0.7784 - acc: 0.8251 - val_loss: 0.7089 - val_acc: 0.8502 Epoch 1028/5000 14s 29ms/step - loss: 0.7844 - acc: 0.8232 - val_loss: 0.7211 - val_acc: 0.8466 Epoch 1029/5000 14s 29ms/step - loss: 0.7752 - acc: 0.8276 - val_loss: 0.7218 - val_acc: 0.8458 Epoch 1030/5000 14s 29ms/step - loss: 0.7824 - acc: 0.8247 - val_loss: 0.7100 - val_acc: 0.8519 Epoch 1031/5000 14s 29ms/step - loss: 0.7716 - acc: 0.8277 - val_loss: 0.7142 - val_acc: 0.8523 Epoch 1032/5000 14s 29ms/step - loss: 0.7780 - acc: 0.8258 - val_loss: 0.7486 - val_acc: 0.8361 Epoch 1033/5000 14s 28ms/step - loss: 0.7803 - acc: 0.8224 - val_loss: 0.7230 - val_acc: 0.8487 Epoch 1034/5000 14s 29ms/step - loss: 0.7806 - acc: 0.8251 - val_loss: 0.7247 - val_acc: 0.8513 Epoch 1035/5000 14s 29ms/step - loss: 0.7824 - acc: 0.8243 - val_loss: 0.7092 - val_acc: 0.8515 Epoch 1036/5000 14s 29ms/step - loss: 0.7850 - acc: 0.8229 - val_loss: 0.6972 - val_acc: 0.8570 Epoch 1037/5000 14s 29ms/step - loss: 0.7823 - acc: 0.8229 - val_loss: 0.7169 - val_acc: 0.8495 Epoch 1038/5000 14s 29ms/step - loss: 0.7752 - acc: 0.8272 - val_loss: 0.7231 - val_acc: 0.8501 Epoch 1039/5000 14s 29ms/step - loss: 0.7815 - acc: 0.8234 - val_loss: 0.7282 - val_acc: 0.8438 Epoch 1040/5000 14s 29ms/step - loss: 0.7769 - acc: 0.8272 - val_loss: 0.7229 - val_acc: 0.8480 Epoch 1041/5000 14s 29ms/step - loss: 0.7835 - acc: 0.8246 - val_loss: 0.7148 - val_acc: 0.8522 Epoch 1042/5000 14s 29ms/step - loss: 0.7768 - acc: 0.8255 - val_loss: 0.7029 - val_acc: 0.8534 Epoch 1043/5000 14s 29ms/step - loss: 0.7798 - acc: 0.8255 - val_loss: 0.7144 - val_acc: 0.8557 Epoch 1044/5000 14s 29ms/step - loss: 0.7792 - acc: 0.8240 - val_loss: 0.7350 - val_acc: 0.8462 Epoch 1045/5000 14s 29ms/step - loss: 0.7811 - acc: 0.8237 - val_loss: 0.7037 - val_acc: 0.8550 Epoch 1046/5000 14s 29ms/step - loss: 0.7764 - acc: 0.8250 - val_loss: 0.7233 - val_acc: 0.8492 Epoch 1047/5000 14s 29ms/step - loss: 0.7830 - acc: 0.8248 - val_loss: 0.7457 - val_acc: 0.8377 Epoch 1048/5000 14s 29ms/step - loss: 0.7783 - acc: 0.8251 - val_loss: 0.7084 - val_acc: 0.8507 Epoch 1049/5000 14s 29ms/step - loss: 0.7828 - acc: 0.8219 - val_loss: 0.7300 - val_acc: 0.8417 Epoch 1050/5000 14s 29ms/step - loss: 0.7825 - acc: 0.8231 - val_loss: 0.7113 - val_acc: 0.8505 Epoch 1051/5000 14s 29ms/step - loss: 0.7813 - acc: 0.8234 - val_loss: 0.7355 - val_acc: 0.8439 Epoch 1052/5000 14s 29ms/step - loss: 0.7783 - acc: 0.8244 - val_loss: 0.7220 - val_acc: 0.8477 Epoch 1053/5000 14s 29ms/step - loss: 0.7827 - acc: 0.8226 - val_loss: 0.7097 - val_acc: 0.8507 Epoch 1054/5000 14s 29ms/step - loss: 0.7769 - acc: 0.8258 - val_loss: 0.7107 - val_acc: 0.8503 Epoch 1055/5000 14s 29ms/step - loss: 0.7770 - acc: 0.8253 - val_loss: 0.7379 - val_acc: 0.8416 Epoch 1056/5000 14s 29ms/step - loss: 0.7834 - acc: 0.8213 - val_loss: 0.7321 - val_acc: 0.8442 Epoch 1057/5000 14s 29ms/step - loss: 0.7792 - acc: 0.8253 - val_loss: 0.7138 - val_acc: 0.8478 Epoch 1058/5000 14s 29ms/step - loss: 0.7807 - acc: 0.8243 - val_loss: 0.6981 - val_acc: 0.8542 Epoch 1059/5000 14s 29ms/step - loss: 0.7794 - acc: 0.8250 - val_loss: 0.7019 - val_acc: 0.8562 Epoch 1060/5000 14s 29ms/step - loss: 0.7781 - acc: 0.8252 - val_loss: 0.6955 - val_acc: 0.8552 Epoch 1061/5000 14s 29ms/step - loss: 0.7785 - acc: 0.8247 - val_loss: 0.7077 - val_acc: 0.8496 Epoch 1062/5000 14s 29ms/step - loss: 0.7772 - acc: 0.8241 - val_loss: 0.7209 - val_acc: 0.8492 Epoch 1063/5000 14s 29ms/step - loss: 0.7782 - acc: 0.8250 - val_loss: 0.7165 - val_acc: 0.8488 Epoch 1064/5000 14s 29ms/step - loss: 0.7790 - acc: 0.8260 - val_loss: 0.7276 - val_acc: 0.8461 Epoch 1065/5000 14s 29ms/step - loss: 0.7766 - acc: 0.8262 - val_loss: 0.7097 - val_acc: 0.8469 Epoch 1066/5000 14s 29ms/step - loss: 0.7731 - acc: 0.8254 - val_loss: 0.7111 - val_acc: 0.8486 Epoch 1067/5000 14s 29ms/step - loss: 0.7792 - acc: 0.8245 - val_loss: 0.7196 - val_acc: 0.8486 Epoch 1068/5000 14s 29ms/step - loss: 0.7797 - acc: 0.8262 - val_loss: 0.7094 - val_acc: 0.8520 Epoch 1069/5000 14s 29ms/step - loss: 0.7803 - acc: 0.8241 - val_loss: 0.7225 - val_acc: 0.8466 Epoch 1070/5000 14s 29ms/step - loss: 0.7816 - acc: 0.8241 - val_loss: 0.7219 - val_acc: 0.8468 Epoch 1071/5000 14s 29ms/step - loss: 0.7797 - acc: 0.8244 - val_loss: 0.7090 - val_acc: 0.8506 Epoch 1072/5000 14s 29ms/step - loss: 0.7759 - acc: 0.8250 - val_loss: 0.7081 - val_acc: 0.8443 Epoch 1073/5000 14s 29ms/step - loss: 0.7796 - acc: 0.8228 - val_loss: 0.7139 - val_acc: 0.8498 Epoch 1074/5000 14s 29ms/step - loss: 0.7785 - acc: 0.8260 - val_loss: 0.7201 - val_acc: 0.8486 Epoch 1075/5000 14s 29ms/step - loss: 0.7816 - acc: 0.8235 - val_loss: 0.7206 - val_acc: 0.8496 Epoch 1076/5000 14s 29ms/step - loss: 0.7771 - acc: 0.8258 - val_loss: 0.7568 - val_acc: 0.8361 Epoch 1077/5000 14s 29ms/step - loss: 0.7788 - acc: 0.8228 - val_loss: 0.7031 - val_acc: 0.8568 Epoch 1078/5000 14s 29ms/step - loss: 0.7724 - acc: 0.8253 - val_loss: 0.7129 - val_acc: 0.8502 Epoch 1079/5000 14s 29ms/step - loss: 0.7768 - acc: 0.8255 - val_loss: 0.7303 - val_acc: 0.8415 Epoch 1080/5000 14s 29ms/step - loss: 0.7798 - acc: 0.8247 - val_loss: 0.7180 - val_acc: 0.8505 Epoch 1081/5000 14s 29ms/step - loss: 0.7785 - acc: 0.8252 - val_loss: 0.7125 - val_acc: 0.8516 Epoch 1082/5000 14s 29ms/step - loss: 0.7741 - acc: 0.8275 - val_loss: 0.7217 - val_acc: 0.8468 Epoch 1083/5000 14s 28ms/step - loss: 0.7768 - acc: 0.8246 - val_loss: 0.7232 - val_acc: 0.8474 Epoch 1084/5000 14s 29ms/step - loss: 0.7779 - acc: 0.8267 - val_loss: 0.7130 - val_acc: 0.8503 Epoch 1085/5000 14s 29ms/step - loss: 0.7811 - acc: 0.8235 - val_loss: 0.7002 - val_acc: 0.8526 Epoch 1086/5000 14s 29ms/step - loss: 0.7752 - acc: 0.8256 - val_loss: 0.7155 - val_acc: 0.8494 Epoch 1087/5000 14s 29ms/step - loss: 0.7872 - acc: 0.8228 - val_loss: 0.7084 - val_acc: 0.8490 Epoch 1088/5000 14s 29ms/step - loss: 0.7799 - acc: 0.8247 - val_loss: 0.7207 - val_acc: 0.8489 Epoch 1089/5000 14s 29ms/step - loss: 0.7770 - acc: 0.8271 - val_loss: 0.7220 - val_acc: 0.8447 Epoch 1090/5000 14s 29ms/step - loss: 0.7768 - acc: 0.8261 - val_loss: 0.7084 - val_acc: 0.8491 Epoch 1091/5000 14s 29ms/step - loss: 0.7790 - acc: 0.8246 - val_loss: 0.7292 - val_acc: 0.8428 Epoch 1092/5000 14s 29ms/step - loss: 0.7794 - acc: 0.8245 - val_loss: 0.7222 - val_acc: 0.8469 Epoch 1093/5000 14s 29ms/step - loss: 0.7715 - acc: 0.8295 - val_loss: 0.7113 - val_acc: 0.8482 Epoch 1094/5000 14s 29ms/step - loss: 0.7801 - acc: 0.8239 - val_loss: 0.6976 - val_acc: 0.8531 Epoch 1095/5000 14s 29ms/step - loss: 0.7783 - acc: 0.8242 - val_loss: 0.7212 - val_acc: 0.8458 Epoch 1096/5000 14s 29ms/step - loss: 0.7786 - acc: 0.8255 - val_loss: 0.6960 - val_acc: 0.8539 Epoch 1097/5000 14s 28ms/step - loss: 0.7762 - acc: 0.8245 - val_loss: 0.7055 - val_acc: 0.8517 Epoch 1098/5000 14s 29ms/step - loss: 0.7756 - acc: 0.8257 - val_loss: 0.7114 - val_acc: 0.8511 Epoch 1099/5000 14s 29ms/step - loss: 0.7806 - acc: 0.8239 - val_loss: 0.7336 - val_acc: 0.8440 Epoch 1100/5000 14s 29ms/step - loss: 0.7761 - acc: 0.8264 - val_loss: 0.7261 - val_acc: 0.8464 Epoch 1101/5000 14s 29ms/step - loss: 0.7782 - acc: 0.8243 - val_loss: 0.7241 - val_acc: 0.8438 Epoch 1102/5000 14s 29ms/step - loss: 0.7760 - acc: 0.8240 - val_loss: 0.6991 - val_acc: 0.8552 Epoch 1103/5000 14s 29ms/step - loss: 0.7768 - acc: 0.8264 - val_loss: 0.7288 - val_acc: 0.8440 Epoch 1104/5000 14s 29ms/step - loss: 0.7808 - acc: 0.8240 - val_loss: 0.7311 - val_acc: 0.8432 Epoch 1105/5000 14s 29ms/step - loss: 0.7763 - acc: 0.8250 - val_loss: 0.7220 - val_acc: 0.8479 Epoch 1106/5000 14s 29ms/step - loss: 0.7824 - acc: 0.8235 - val_loss: 0.7057 - val_acc: 0.8540 Epoch 1107/5000 14s 29ms/step - loss: 0.7772 - acc: 0.8246 - val_loss: 0.7026 - val_acc: 0.8513 Epoch 1108/5000 14s 29ms/step - loss: 0.7803 - acc: 0.8235 - val_loss: 0.7070 - val_acc: 0.8511 Epoch 1109/5000 14s 29ms/step - loss: 0.7835 - acc: 0.8236 - val_loss: 0.7282 - val_acc: 0.8472 Epoch 1110/5000 14s 29ms/step - loss: 0.7773 - acc: 0.8264 - val_loss: 0.7311 - val_acc: 0.8467 Epoch 1111/5000 14s 29ms/step - loss: 0.7801 - acc: 0.8231 - val_loss: 0.7171 - val_acc: 0.8543 Epoch 1112/5000 14s 29ms/step - loss: 0.7818 - acc: 0.8241 - val_loss: 0.7142 - val_acc: 0.8478 Epoch 1113/5000 14s 29ms/step - loss: 0.7820 - acc: 0.8233 - val_loss: 0.7107 - val_acc: 0.8494 Epoch 1114/5000 14s 29ms/step - loss: 0.7786 - acc: 0.8257 - val_loss: 0.7278 - val_acc: 0.8438 Epoch 1115/5000 14s 29ms/step - loss: 0.7801 - acc: 0.8247 - val_loss: 0.7138 - val_acc: 0.8511 Epoch 1116/5000 14s 29ms/step - loss: 0.7811 - acc: 0.8238 - val_loss: 0.7075 - val_acc: 0.8521 Epoch 1117/5000 14s 29ms/step - loss: 0.7803 - acc: 0.8250 - val_loss: 0.6918 - val_acc: 0.8581 Epoch 1118/5000 14s 29ms/step - loss: 0.7748 - acc: 0.8257 - val_loss: 0.7333 - val_acc: 0.8438 Epoch 1119/5000 14s 29ms/step - loss: 0.7801 - acc: 0.8253 - val_loss: 0.7202 - val_acc: 0.8472 Epoch 1120/5000 14s 29ms/step - loss: 0.7784 - acc: 0.8253 - val_loss: 0.7171 - val_acc: 0.8517 Epoch 1121/5000 14s 29ms/step - loss: 0.7747 - acc: 0.8259 - val_loss: 0.7117 - val_acc: 0.8483 Epoch 1122/5000 14s 28ms/step - loss: 0.7778 - acc: 0.8258 - val_loss: 0.7101 - val_acc: 0.8501 Epoch 1123/5000 14s 28ms/step - loss: 0.7793 - acc: 0.8245 - val_loss: 0.7326 - val_acc: 0.8421 Epoch 1124/5000 14s 28ms/step - loss: 0.7832 - acc: 0.8227 - val_loss: 0.7386 - val_acc: 0.8403 Epoch 1125/5000 14s 28ms/step - loss: 0.7796 - acc: 0.8249 - val_loss: 0.6999 - val_acc: 0.8527 Epoch 1126/5000 14s 28ms/step - loss: 0.7832 - acc: 0.8238 - val_loss: 0.7254 - val_acc: 0.8440 Epoch 1127/5000 14s 28ms/step - loss: 0.7801 - acc: 0.8229 - val_loss: 0.7216 - val_acc: 0.8523 Epoch 1128/5000 14s 28ms/step - loss: 0.7825 - acc: 0.8243 - val_loss: 0.7132 - val_acc: 0.8464 Epoch 1129/5000 14s 28ms/step - loss: 0.7819 - acc: 0.8237 - val_loss: 0.7357 - val_acc: 0.8445 Epoch 1130/5000 14s 28ms/step - loss: 0.7771 - acc: 0.8245 - val_loss: 0.7292 - val_acc: 0.8399 Epoch 1131/5000 14s 28ms/step - loss: 0.7803 - acc: 0.8241 - val_loss: 0.7126 - val_acc: 0.8532 Epoch 1132/5000 14s 28ms/step - loss: 0.7840 - acc: 0.8225 - val_loss: 0.7195 - val_acc: 0.8467 Epoch 1133/5000 14s 28ms/step - loss: 0.7818 - acc: 0.8247 - val_loss: 0.7167 - val_acc: 0.8462 Epoch 1134/5000 14s 28ms/step - loss: 0.7802 - acc: 0.8243 - val_loss: 0.7180 - val_acc: 0.8485 Epoch 1135/5000 14s 28ms/step - loss: 0.7771 - acc: 0.8255 - val_loss: 0.7354 - val_acc: 0.8404 Epoch 1136/5000 14s 28ms/step - loss: 0.7804 - acc: 0.8241 - val_loss: 0.7151 - val_acc: 0.8499 Epoch 1137/5000 14s 28ms/step - loss: 0.7722 - acc: 0.8276 - val_loss: 0.7180 - val_acc: 0.8478 Epoch 1138/5000 14s 28ms/step - loss: 0.7803 - acc: 0.8242 - val_loss: 0.7294 - val_acc: 0.8413 Epoch 1139/5000 14s 28ms/step - loss: 0.7787 - acc: 0.8240 - val_loss: 0.7112 - val_acc: 0.8497 Epoch 1140/5000 14s 28ms/step - loss: 0.7827 - acc: 0.8220 - val_loss: 0.7258 - val_acc: 0.8462 Epoch 1141/5000 14s 28ms/step - loss: 0.7783 - acc: 0.8255 - val_loss: 0.6970 - val_acc: 0.8542 Epoch 1142/5000 14s 28ms/step - loss: 0.7835 - acc: 0.8218 - val_loss: 0.7143 - val_acc: 0.8519 Epoch 1143/5000 14s 28ms/step - loss: 0.7795 - acc: 0.8235 - val_loss: 0.7167 - val_acc: 0.8486 Epoch 1144/5000 14s 28ms/step - loss: 0.7782 - acc: 0.8266 - val_loss: 0.7335 - val_acc: 0.8416 Epoch 1145/5000 14s 28ms/step - loss: 0.7783 - acc: 0.8251 - val_loss: 0.7014 - val_acc: 0.8528 Epoch 1146/5000 14s 28ms/step - loss: 0.7766 - acc: 0.8234 - val_loss: 0.7010 - val_acc: 0.8550 Epoch 1147/5000 14s 28ms/step - loss: 0.7820 - acc: 0.8245 - val_loss: 0.7037 - val_acc: 0.8545 Epoch 1148/5000 14s 28ms/step - loss: 0.7740 - acc: 0.8264 - val_loss: 0.7141 - val_acc: 0.8519 Epoch 1149/5000 14s 28ms/step - loss: 0.7791 - acc: 0.8246 - val_loss: 0.7495 - val_acc: 0.8421 Epoch 1150/5000 14s 28ms/step - loss: 0.7785 - acc: 0.8252 - val_loss: 0.7398 - val_acc: 0.8373 Epoch 1151/5000 14s 28ms/step - loss: 0.7832 - acc: 0.8237 - val_loss: 0.7199 - val_acc: 0.8472 Epoch 1152/5000 14s 28ms/step - loss: 0.7823 - acc: 0.8240 - val_loss: 0.7073 - val_acc: 0.8535 Epoch 1153/5000 14s 28ms/step - loss: 0.7805 - acc: 0.8251 - val_loss: 0.7187 - val_acc: 0.8499 Epoch 1154/5000 14s 28ms/step - loss: 0.7820 - acc: 0.8228 - val_loss: 0.7399 - val_acc: 0.8407 Epoch 1155/5000 15s 29ms/step - loss: 0.7829 - acc: 0.8224 - val_loss: 0.7405 - val_acc: 0.8377 Epoch 1156/5000 14s 29ms/step - loss: 0.7805 - acc: 0.8248 - val_loss: 0.7229 - val_acc: 0.8470 Epoch 1157/5000 14s 28ms/step - loss: 0.7794 - acc: 0.8263 - val_loss: 0.7350 - val_acc: 0.8440 Epoch 1158/5000 14s 28ms/step - loss: 0.7799 - acc: 0.8241 - val_loss: 0.7069 - val_acc: 0.8525 Epoch 1159/5000 14s 28ms/step - loss: 0.7801 - acc: 0.8253 - val_loss: 0.7056 - val_acc: 0.8543 Epoch 1160/5000 14s 28ms/step - loss: 0.7777 - acc: 0.8258 - val_loss: 0.7226 - val_acc: 0.8501 Epoch 1161/5000 14s 28ms/step - loss: 0.7806 - acc: 0.8246 - val_loss: 0.7263 - val_acc: 0.8458 Epoch 1162/5000 14s 28ms/step - loss: 0.7793 - acc: 0.8243 - val_loss: 0.7063 - val_acc: 0.8522 Epoch 1163/5000 14s 28ms/step - loss: 0.7783 - acc: 0.8263 - val_loss: 0.7391 - val_acc: 0.8430 Epoch 1164/5000 14s 28ms/step - loss: 0.7753 - acc: 0.8263 - val_loss: 0.7254 - val_acc: 0.8465 Epoch 1165/5000 14s 28ms/step - loss: 0.7838 - acc: 0.8232 - val_loss: 0.7287 - val_acc: 0.8479 Epoch 1166/5000 14s 28ms/step - loss: 0.7827 - acc: 0.8229 - val_loss: 0.7269 - val_acc: 0.8464 Epoch 1167/5000 14s 28ms/step - loss: 0.7782 - acc: 0.8262 - val_loss: 0.7305 - val_acc: 0.8438 Epoch 1168/5000 14s 28ms/step - loss: 0.7778 - acc: 0.8251 - val_loss: 0.7065 - val_acc: 0.8501 Epoch 1169/5000 14s 28ms/step - loss: 0.7768 - acc: 0.8249 - val_loss: 0.7039 - val_acc: 0.8540 Epoch 1170/5000 14s 28ms/step - loss: 0.7797 - acc: 0.8261 - val_loss: 0.7052 - val_acc: 0.8547 Epoch 1171/5000 14s 29ms/step - loss: 0.7799 - acc: 0.8245 - val_loss: 0.6993 - val_acc: 0.8564 Epoch 1172/5000 14s 29ms/step - loss: 0.7768 - acc: 0.8253 - val_loss: 0.7237 - val_acc: 0.8473
到目前为止，还没有过拟合的迹象。
似乎将自适应参数化ReLU激活函数中第一个全连接层的神经元个数设置为1/16，是一种非常有效的避免过拟合的方法。印象中，Squeeze-and-Excitation network就是这么做的。
Minghang Zhao, Shisheng Zhong, Xuyun Fu, Baoping Tang, Shaojiang Dong, Michael Pecht, Deep Residual Networks with Adaptively Parametric Rectifier Linear Units for Fault Diagnosis, IEEE Transactions on Industrial Electronics, 2020, DOI: 10.1109/TIE.2020.2972458
