[Harbin Institute of Technology] Dynamic ReLU: adaptive parameterized ReLU (parameter record 12)

Posted May 25, 202065 min read

Adaptive parameterized ReLU is a dynamic ReLU(Dynamic ReLU), submitted to IEEE Transactions on Industrial Electronics on May 3, 2019, accepted on January 24, 2020, on 2020 2 Published on the IEEE's official website on the 13th.

Based on Adjustment Record 10 , this article adds zoom \ _range = 0.2 in the data enhancement section to increase the number of training iterations to 5000 epochs and change the batch size It became 625, test the effect of adaptive parameterized ReLU on Cifar10.

The principle of adaptive parameterized ReLU is as follows:
aprelu.png

Keras program:

#!/usr/bin/env python3
#-*-coding:utf-8-*-
"" "
Created on Tue Apr 14 04:17:45 2020
Implemented using TensorFlow 1.0.1 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
Date of Publication:13 February 2020

@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()
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, 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, 9, 16, downsample = False)
net = residual_block(net, 1, 32, downsample = True)
net = residual_block(net, 8, 32, downsample = False)
net = residual_block(net, 1, 64, downsample = True)
net = residual_block(net, 8, 64, downsample = False)
net = BatchNormalization(momentum = 0.9, gamma_regularizer = l2(1e-4))(net)
net = Activation('relu')(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 = 625),
          validation_data =(x_test, y_test), epochs = 5000,
          verbose = 1, callbacks = [reduce_lr], workers = 10)

# get results
K.set_learning_phase(0)
DRSN_train_score = model.evaluate(x_train, y_train, batch_size = 625, 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 = 625, verbose = 0)
print('Test loss:', DRSN_test_score [0])
print('Test accuracy:', DRSN_test_score [1])

Experimental results:

Epoch 2500/5000
80/80-32s 399ms/step-loss:0.0996-acc:0.9930-val_loss:0.4074-val_acc:0.9203
Epoch 2501/5000
80/80-32s 399ms/step-loss:0.0986-acc:0.9937-val_loss:0.3996-val_acc:0.9202
Epoch 2502/5000
80/80-32s 399ms/step-loss:0.0980-acc:0.9933-val_loss:0.3950-val_acc:0.9236
Epoch 2503/5000
80/80-32s 400ms/step-loss:0.0997-acc:0.9928-val_loss:0.4173-val_acc:0.9190
Epoch 2504/5000
80/80-32s 400ms/step-loss:0.1003-acc:0.9927-val_loss:0.4020-val_acc:0.9210
Epoch 2505/5000
80/80-32s 400ms/step-loss:0.0983-acc:0.9935-val_loss:0.4114-val_acc:0.9209
Epoch 2506/5000
80/80-32s 400ms/step-loss:0.0992-acc:0.9929-val_loss:0.4048-val_acc:0.9212
Epoch 2507/5000
80/80-32s 400ms/step-loss:0.0991-acc:0.9935-val_loss:0.4153-val_acc:0.9205
Epoch 2508/5000
80/80-32s 400ms/step-loss:0.0982-acc:0.9939-val_loss:0.4106-val_acc:0.9202
Epoch 2509/5000
80/80-32s 400ms/step-loss:0.0978-acc:0.9937-val_loss:0.4142-val_acc:0.9214
Epoch 2510/5000
80/80-32s 400ms/step-loss:0.0986-acc:0.9932-val_loss:0.4161-val_acc:0.9208
Epoch 2511/5000
80/80-32s 400ms/step-loss:0.0996-acc:0.9931-val_loss:0.4168-val_acc:0.9213
Epoch 2512/5000
80/80-32s 401ms/step-loss:0.0993-acc:0.9933-val_loss:0.4125-val_acc:0.9202
Epoch 2513/5000
80/80-32s 400ms/step-loss:0.0991-acc:0.9932-val_loss:0.4072-val_acc:0.9203
Epoch 2514/5000
80/80-32s 399ms/step-loss:0.0989-acc:0.9930-val_loss:0.4077-val_acc:0.9190
Epoch 2515/5000
80/80-32s 400ms/step-loss:0.0983-acc:0.9933-val_loss:0.4031-val_acc:0.9212
Epoch 2516/5000
80/80-32s 400ms/step-loss:0.0995-acc:0.9927-val_loss:0.4060-val_acc:0.9219
Epoch 2517/5000
80/80-32s 400ms/step-loss:0.0975-acc:0.9933-val_loss:0.3955-val_acc:0.9247
Epoch 2518/5000
80/80-32s 400ms/step-loss:0.0998-acc:0.9931-val_loss:0.4099-val_acc:0.9195
Epoch 2519/5000
80/80-32s 400ms/step-loss:0.1007-acc:0.9924-val_loss:0.4077-val_acc:0.9195
Epoch 2520/5000
80/80-32s 399ms/step-loss:0.0981-acc:0.9930-val_loss:0.4108-val_acc:0.9205
Epoch 2521/5000
80/80-32s 400ms/step-loss:0.0997-acc:0.9931-val_loss:0.4017-val_acc:0.9233
Epoch 2522/5000
80/80-32s 399ms/step-loss:0.0988-acc:0.9933-val_loss:0.4079-val_acc:0.9202
Epoch 2523/5000
80/80-32s 400ms/step-loss:0.0989-acc:0.9932-val_loss:0.4085-val_acc:0.9224
Epoch 2524/5000
80/80-32s 399ms/step-loss:0.0999-acc:0.9931-val_loss:0.4265-val_acc:0.9156
Epoch 2525/5000
80/80-32s 399ms/step-loss:0.0991-acc:0.9928-val_loss:0.4078-val_acc:0.9198
Epoch 2526/5000
80/80-32s 400ms/step-loss:0.0993-acc:0.9929-val_loss:0.4057-val_acc:0.9213
Epoch 2527/5000
80/80-32s 400ms/step-loss:0.1016-acc:0.9925-val_loss:0.3981-val_acc:0.9214
Epoch 2528/5000
80/80-32s 399ms/step-loss:0.1004-acc:0.9925-val_loss:0.4142-val_acc:0.9188
Epoch 2529/5000
80/80-32s 400ms/step-loss:0.0980-acc:0.9938-val_loss:0.3881-val_acc:0.9244
Epoch 2530/5000
80/80-32s 399ms/step-loss:0.0970-acc:0.9938-val_loss:0.4089-val_acc:0.9218
Epoch 2531/5000
80/80-32s 399ms/step-loss:0.0982-acc:0.9935-val_loss:0.4139-val_acc:0.9185
Epoch 2532/5000
80/80-32s 400ms/step-loss:0.1003-acc:0.9927-val_loss:0.3969-val_acc:0.9206
Epoch 2533/5000
80/80-32s 400ms/step-loss:0.0994-acc:0.9927-val_loss:0.4123-val_acc:0.9180
Epoch 2534/5000
80/80-32s 399ms/step-loss:0.0993-acc:0.9929-val_loss:0.4002-val_acc:0.9226
Epoch 2535/5000
80/80-32s 399ms/step-loss:0.0957-acc:0.9943-val_loss:0.4116-val_acc:0.9192
Epoch 2536/5000
80/80-32s 399ms/step-loss:0.0985-acc:0.9933-val_loss:0.4214-val_acc:0.9164
Epoch 2537/5000
80/80-32s 399ms/step-loss:0.0967-acc:0.9940-val_loss:0.4219-val_acc:0.9163
Epoch 2538/5000
80/80-32s 400ms/step-loss:0.0963-acc:0.9940-val_loss:0.4312-val_acc:0.9154
Epoch 2539/5000
80/80-32s 399ms/step-loss:0.0959-acc:0.9943-val_loss:0.4308-val_acc:0.9166
Epoch 2540/5000
80/80-32s 400ms/step-loss:0.0983-acc:0.9933-val_loss:0.4163-val_acc:0.9174
Epoch 2541/5000
80/80-32s 400ms/step-loss:0.0973-acc:0.9935-val_loss:0.4336-val_acc:0.9172
Epoch 2542/5000
80/80-32s 400ms/step-loss:0.0987-acc:0.9936-val_loss:0.4197-val_acc:0.9201
Epoch 2543/5000
80/80-32s 400ms/step-loss:0.1006-acc:0.9925-val_loss:0.4098-val_acc:0.9219
Epoch 2544/5000
80/80-32s 400ms/step-loss:0.0985-acc:0.9931-val_loss:0.4044-val_acc:0.9214
Epoch 2545/5000
80/80-32s 399ms/step-loss:0.0997-acc:0.9929-val_loss:0.3958-val_acc:0.9251
Epoch 2546/5000
80/80-32s 400ms/step-loss:0.0980-acc:0.9936-val_loss:0.3987-val_acc:0.9220
Epoch 2547/5000
80/80-32s 399ms/step-loss:0.0985-acc:0.9930-val_loss:0.4155-val_acc:0.9144
Epoch 2548/5000
80/80-32s 399ms/step-loss:0.0987-acc:0.9929-val_loss:0.4052-val_acc:0.9216
Epoch 2549/5000
80/80-32s 399ms/step-loss:0.0961-acc:0.9943-val_loss:0.4019-val_acc:0.9248
Epoch 2550/5000
80/80-32s 399ms/step-loss:0.0990-acc:0.9932-val_loss:0.4112-val_acc:0.9186
Epoch 2551/5000
80/80-32s 399ms/step-loss:0.0970-acc:0.9937-val_loss:0.4091-val_acc:0.9190
Epoch 2552/5000
80/80-32s 399ms/step-loss:0.0972-acc:0.9942-val_loss:0.4164-val_acc:0.9191
Epoch 2553/5000
80/80-32s 400ms/step-loss:0.0971-acc:0.9939-val_loss:0.4206-val_acc:0.9156
Epoch 2554/5000
80/80-32s 400ms/step-loss:0.0971-acc:0.9937-val_loss:0.4245-val_acc:0.9163
Epoch 2555/5000
80/80-32s 400ms/step-loss:0.0988-acc:0.9927-val_loss:0.4192-val_acc:0.9191
Epoch 2556/5000
80/80-32s 399ms/step-loss:0.0990-acc:0.9931-val_loss:0.4244-val_acc:0.9177
Epoch 2557/5000
80/80-32s 399ms/step-loss:0.1005-acc:0.9928-val_loss:0.4160-val_acc:0.9195
Epoch 2558/5000
80/80-32s 399ms/step-loss:0.0993-acc:0.9930-val_loss:0.4175-val_acc:0.9154
Epoch 2559/5000
80/80-32s 399ms/step-loss:0.0994-acc:0.9929-val_loss:0.4214-val_acc:0.9157
Epoch 2560/5000
80/80-32s 399ms/step-loss:0.0993-acc:0.9934-val_loss:0.4160-val_acc:0.9203
Epoch 2561/5000
80/80-32s 400ms/step-loss:0.0990-acc:0.9931-val_loss:0.4251-val_acc:0.9156
Epoch 2562/5000
80/80-32s 399ms/step-loss:0.0998-acc:0.9929-val_loss:0.4163-val_acc:0.9160
Epoch 2563/5000
80/80-32s 400ms/step-loss:0.0980-acc:0.9933-val_loss:0.4083-val_acc:0.9204
Epoch 2564/5000
80/80-32s 400ms/step-loss:0.0986-acc:0.9933-val_loss:0.4211-val_acc:0.9177
Epoch 2565/5000
80/80-32s 399ms/step-loss:0.0982-acc:0.9929-val_loss:0.3990-val_acc:0.9198
Epoch 2566/5000
80/80-32s 400ms/step-loss:0.1006-acc:0.9928-val_loss:0.4059-val_acc:0.9200
Epoch 2567/5000
80/80-32s 400ms/step-loss:0.0982-acc:0.9936-val_loss:0.4255-val_acc:0.9172
Epoch 2568/5000
80/80-32s 399ms/step-loss:0.0988-acc:0.9928-val_loss:0.4167-val_acc:0.9186
Epoch 2569/5000
80/80-32s 400ms/step-loss:0.0982-acc:0.9937-val_loss:0.4128-val_acc:0.9216
Epoch 2570/5000
80/80-32s 400ms/step-loss:0.1007-acc:0.9925-val_loss:0.4126-val_acc:0.9193
Epoch 2571/5000
80/80-32s 399ms/step-loss:0.1005-acc:0.9923-val_loss:0.4234-val_acc:0.9143
Epoch 2572/5000
80/80-32s 400ms/step-loss:0.0999-acc:0.9928-val_loss:0.4101-val_acc:0.9206
Epoch 2573/5000
80/80-32s 399ms/step-loss:0.0997-acc:0.9935-val_loss:0.4210-val_acc:0.9181
Epoch 2574/5000
80/80-32s 400ms/step-loss:0.0965-acc:0.9941-val_loss:0.4224-val_acc:0.9180
Epoch 2575/5000
80/80-32s 399ms/step-loss:0.0967-acc:0.9941-val_loss:0.4097-val_acc:0.9208
Epoch 2576/5000
80/80-32s 399ms/step-loss:0.0952-acc:0.9944-val_loss:0.4208-val_acc:0.9188
Epoch 2577/5000
80/80-32s 399ms/step-loss:0.0973-acc:0.9937-val_loss:0.4197-val_acc:0.9157
Epoch 2578/5000
80/80-32s 400ms/step-loss:0.0971-acc:0.9935-val_loss:0.4177-val_acc:0.9221
Epoch 2579/5000
80/80-32s 400ms/step-loss:0.1009-acc:0.9925-val_loss:0.4102-val_acc:0.9205
Epoch 2580/5000
80/80-32s 400ms/step-loss:0.0996-acc:0.9931-val_loss:0.4128-val_acc:0.9177
Epoch 2581/5000
80/80-32s 400ms/step-loss:0.0997-acc:0.9934-val_loss:0.4057-val_acc:0.9193
Epoch 2582/5000
80/80-32s 399ms/step-loss:0.0984-acc:0.9930-val_loss:0.3972-val_acc:0.9205
Epoch 2583/5000
80/80-32s 400ms/step-loss:0.0937-acc:0.9952-val_loss:0.4127-val_acc:0.9192
Epoch 2584/5000
80/80-32s 399ms/step-loss:0.0975-acc:0.9935-val_loss:0.4041-val_acc:0.9223
Epoch 2585/5000
80/80-32s 400ms/step-loss:0.0998-acc:0.9926-val_loss:0.4125-val_acc:0.9182
Epoch 2586/5000
80/80-32s 400ms/step-loss:0.1021-acc:0.9918-val_loss:0.4003-val_acc:0.9196
Epoch 2587/5000
80/80-32s 400ms/step-loss:0.0987-acc:0.9931-val_loss:0.4137-val_acc:0.9204
Epoch 2588/5000
80/80-32s 399ms/step-loss:0.0989-acc:0.9931-val_loss:0.4122-val_acc:0.9200
Epoch 2589/5000
80/80-32s 399ms/step-loss:0.0976-acc:0.9936-val_loss:0.4021-val_acc:0.9193
Epoch 2590/5000
80/80-32s 400ms/step-loss:0.0981-acc:0.9935-val_loss:0.4269-val_acc:0.9157
Epoch 2591/5000
80/80-32s 400ms/step-loss:0.1002-acc:0.9925-val_loss:0.4298-val_acc:0.9166
Epoch 2592/5000
80/80-32s 399ms/step-loss:0.1005-acc:0.9921-val_loss:0.4184-val_acc:0.9197
Epoch 2593/5000
80/80-32s 399ms/step-loss:0.0981-acc:0.9936-val_loss:0.4072-val_acc:0.9192
Epoch 2594/5000
80/80-32s 399ms/step-loss:0.0960-acc:0.9943-val_loss:0.4043-val_acc:0.9225
Epoch 2595/5000
80/80-32s 399ms/step-loss:0.0964-acc:0.9939-val_loss:0.4311-val_acc:0.9145
Epoch 2596/5000
80/80-32s 399ms/step-loss:0.0977-acc:0.9937-val_loss:0.4075-val_acc:0.9217
Epoch 2597/5000
80/80-32s 400ms/step-loss:0.0989-acc:0.9934-val_loss:0.4333-val_acc:0.9161
Epoch 2598/5000
80/80-32s 400ms/step-loss:0.1013-acc:0.9923-val_loss:0.4255-val_acc:0.9161
Epoch 2599/5000
80/80-32s 399ms/step-loss:0.1015-acc:0.9925-val_loss:0.3974-val_acc:0.9204
Epoch 2600/5000
80/80-32s 400ms/step-loss:0.0998-acc:0.9930-val_loss:0.4109-val_acc:0.9211
Epoch 2601/5000
80/80-32s 400ms/step-loss:0.0983-acc:0.9935-val_loss:0.4120-val_acc:0.9208
Epoch 2602/5000
80/80-32s 399ms/step-loss:0.0988-acc:0.9927-val_loss:0.4055-val_acc:0.9196
Epoch 2603/5000
80/80-32s 400ms/step-loss:0.0996-acc:0.9932-val_loss:0.4109-val_acc:0.9207
Epoch 2604/5000
80/80-32s 400ms/step-loss:0.0973-acc:0.9937-val_loss:0.4208-val_acc:0.9182
Epoch 2605/5000
80/80-32s 400ms/step-loss:0.0994-acc:0.9929-val_loss:0.4018-val_acc:0.9223
Epoch 2606/5000
80/80-32s 400ms/step-loss:0.0971-acc:0.9937-val_loss:0.4009-val_acc:0.9228
Epoch 2607/5000
80/80-32s 400ms/step-loss:0.0985-acc:0.9931-val_loss:0.4101-val_acc:0.9218
Epoch 2608/5000
80/80-32s 399ms/step-loss:0.0986-acc:0.9929-val_loss:0.4025-val_acc:0.9194
Epoch 2609/5000
80/80-32s 400ms/step-loss:0.0978-acc:0.9935-val_loss:0.4306-val_acc:0.9177
Epoch 2610/5000
80/80-32s 400ms/step-loss:0.0978-acc:0.9934-val_loss:0.3992-val_acc:0.9206
Epoch 2611/5000
80/80-32s 400ms/step-loss:0.0968-acc:0.9939-val_loss:0.4082-val_acc:0.9193
Epoch 2612/5000
80/80-32s 400ms/step-loss:0.0961-acc:0.9941-val_loss:0.4167-val_acc:0.9175
Epoch 2613/5000
80/80-32s 400ms/step-loss:0.1007-acc:0.9924-val_loss:0.4278-val_acc:0.9139
Epoch 2614/5000
80/80-32s 399ms/step-loss:0.0998-acc:0.9931-val_loss:0.3944-val_acc:0.9230
Epoch 2615/5000
80/80-32s 400ms/step-loss:0.0980-acc:0.9935-val_loss:0.4270-val_acc:0.9189
Epoch 2616/5000
80/80-32s 400ms/step-loss:0.0979-acc:0.9934-val_loss:0.4189-val_acc:0.9158
Epoch 2617/5000
80/80-32s 400ms/step-loss:0.0973-acc:0.9938-val_loss:0.4085-val_acc:0.9197
Epoch 2618/5000
80/80-32s 399ms/step-loss:0.0986-acc:0.9931-val_loss:0.4071-val_acc:0.9197
Epoch 2619/5000
80/80-32s 400ms/step-loss:0.0988-acc:0.9934-val_loss:0.4104-val_acc:0.9175
Epoch 2620/5000
80/80-32s 399ms/step-loss:0.0985-acc:0.9930-val_loss:0.4074-val_acc:0.9190
Epoch 2621/5000
80/80-32s 400ms/step-loss:0.1012-acc:0.9922-val_loss:0.3955-val_acc:0.9221
Epoch 2622/5000
80/80-32s 400ms/step-loss:0.0966-acc:0.9939-val_loss:0.4020-val_acc:0.9182
Epoch 2623/5000
80/80-32s 400ms/step-loss:0.0972-acc:0.9934-val_loss:0.4133-val_acc:0.9183
Epoch 2624/5000
80/80-32s 400ms/step-loss:0.0977-acc:0.9935-val_loss:0.4207-val_acc:0.9197
Epoch 2625/5000
80/80-32s 400ms/step-loss:0.0996-acc:0.9930-val_loss:0.4089-val_acc:0.9212
Epoch 2626/5000
80/80-32s 399ms/step-loss:0.1003-acc:0.9934-val_loss:0.4132-val_acc:0.9185
Epoch 2627/5000
80/80-32s 400ms/step-loss:0.0977-acc:0.9937-val_loss:0.3954-val_acc:0.9247
Epoch 2628/5000
80/80-32s 399ms/step-loss:0.0981-acc:0.9934-val_loss:0.4054-val_acc:0.9197
Epoch 2629/5000
80/80-32s 400ms/step-loss:0.0982-acc:0.9932-val_loss:0.4149-val_acc:0.9201
Epoch 2630/5000
80/80-32s 399ms/step-loss:0.0995-acc:0.9929-val_loss:0.4055-val_acc:0.9197
Epoch 2631/5000
80/80-32s 400ms/step-loss:0.0983-acc:0.9937-val_loss:0.4128-val_acc:0.9185
Epoch 2632/5000
80/80-32s 400ms/step-loss:0.0985-acc:0.9936-val_loss:0.4011-val_acc:0.9206
Epoch 2633/5000
80/80-32s 400ms/step-loss:0.0952-acc:0.9942-val_loss:0.3949-val_acc:0.9207
Epoch 2634/5000
80/80-32s 400ms/step-loss:0.0976-acc:0.9936-val_loss:0.3849-val_acc:0.9241
Epoch 2635/5000
80/80-32s 400ms/step-loss:0.0991-acc:0.9928-val_loss:0.4020-val_acc:0.9219
Epoch 2636/5000
80/80-32s 399ms/step-loss:0.0961-acc:0.9941-val_loss:0.4096-val_acc:0.9193
Epoch 2637/5000
80/80-32s 399ms/step-loss:0.0949-acc:0.9944-val_loss:0.3974-val_acc:0.9247
Epoch 2638/5000
80/80-32s 400ms/step-loss:0.0968-acc:0.9937-val_loss:0.4155-val_acc:0.9219
Epoch 2639/5000
80/80-32s 400ms/step-loss:0.0991-acc:0.9932-val_loss:0.4076-val_acc:0.9211
Epoch 2640/5000
80/80-32s 400ms/step-loss:0.0978-acc:0.9932-val_loss:0.3905-val_acc:0.9236
Epoch 2641/5000
80/80-32s 400ms/step-loss:0.0969-acc:0.9939-val_loss:0.3885-val_acc:0.9236
Epoch 2642/5000
80/80-32s 399ms/step-loss:0.0993-acc:0.9929-val_loss:0.4034-val_acc:0.9235
Epoch 2643/5000
80/80-32s 400ms/step-loss:0.0979-acc:0.9932-val_loss:0.4073-val_acc:0.9218
Epoch 2644/5000
80/80-32s 399ms/step-loss:0.0988-acc:0.9932-val_loss:0.4026-val_acc:0.9224
Epoch 2645/5000
80/80-32s 400ms/step-loss:0.0958-acc:0.9940-val_loss:0.4014-val_acc:0.9220
Epoch 2646/5000
80/80-32s 400ms/step-loss:0.0985-acc:0.9933-val_loss:0.4068-val_acc:0.9213
Epoch 2647/5000
80/80-32s 399ms/step-loss:0.0974-acc:0.9939-val_loss:0.4105-val_acc:0.9193
Epoch 2648/5000
80/80-32s 399ms/step-loss:0.1025-acc:0.9917-val_loss:0.4219-val_acc:0.9188
Epoch 2649/5000
80/80-32s 399ms/step-loss:0.0987-acc:0.9933-val_loss:0.4090-val_acc:0.9211
Epoch 2650/5000
80/80-32s 399ms/step-loss:0.0959-acc:0.9941-val_loss:0.4021-val_acc:0.9208
Epoch 2651/5000
80/80-32s 400ms/step-loss:0.0992-acc:0.9930-val_loss:0.4051-val_acc:0.9215
Epoch 2652/5000
80/80-32s 399ms/step-loss:0.0990-acc:0.9930-val_loss:0.4006-val_acc:0.9229
Epoch 2653/5000
80/80-32s 399ms/step-loss:0.0961-acc:0.9942-val_loss:0.4091-val_acc:0.9222
Epoch 2654/5000
80/80-32s 400ms/step-loss:0.0961-acc:0.9937-val_loss:0.4235-val_acc:0.9196
Epoch 2655/5000
80/80-32s 399ms/step-loss:0.0988-acc:0.9930-val_loss:0.4084-val_acc:0.9186
Epoch 2656/5000
80/80-32s 400ms/step-loss:0.0984-acc:0.9932-val_loss:0.4081-val_acc:0.9210
Epoch 2657/5000
80/80-32s 400ms/step-loss:0.0980-acc:0.9935-val_loss:0.4156-val_acc:0.9190
Epoch 2658/5000
80/80-32s 400ms/step-loss:0.0980-acc:0.9931-val_loss:0.4087-val_acc:0.9193
Epoch 2659/5000
80/80-32s 399ms/step-loss:0.0977-acc:0.9934-val_loss:0.4033-val_acc:0.9185
Epoch 2660/5000
80/80-32s 400ms/step-loss:0.0969-acc:0.9940-val_loss:0.3986-val_acc:0.9222
Epoch 2661/5000
80/80-32s 399ms/step-loss:0.0969-acc:0.9939-val_loss:0.3965-val_acc:0.9218
Epoch 2662/5000
80/80-32s 399ms/step-loss:0.0962-acc:0.9937-val_loss:0.3976-val_acc:0.9215
Epoch 2663/5000
80/80-32s 400ms/step-loss:0.0950-acc:0.9943-val_loss:0.4167-val_acc:0.9188
Epoch 2664/5000
80/80-32s 399ms/step-loss:0.0979-acc:0.9932-val_loss:0.4034-val_acc:0.9206
Epoch 2665/5000
80/80-32s 399ms/step-loss:0.0992-acc:0.9929-val_loss:0.3969-val_acc:0.9234
Epoch 2666/5000
80/80-32s 400ms/step-loss:0.0964-acc:0.9941-val_loss:0.3966-val_acc:0.9220
Epoch 2667/5000
80/80-32s 400ms/step-loss:0.0973-acc:0.9936-val_loss:0.4148-val_acc:0.9198
Epoch 2668/5000
80/80-32s 399ms/step-loss:0.0968-acc:0.9938-val_loss:0.4037-val_acc:0.9208
Epoch 2669/5000
80/80-32s 399ms/step-loss:0.0971-acc:0.9935-val_loss:0.4084-val_acc:0.9209
Epoch 2670/5000
80/80-32s 400ms/step-loss:0.0971-acc:0.9934-val_loss:0.4074-val_acc:0.9189
Epoch 2671/5000
80/80-32s 400ms/step-loss:0.0977-acc:0.9931-val_loss:0.4032-val_acc:0.9232
Epoch 2672/5000
80/80-32s 400ms/step-loss:0.0997-acc:0.9927-val_loss:0.3939-val_acc:0.9240
Epoch 2673/5000
80/80-32s 399ms/step-loss:0.0946-acc:0.9947-val_loss:0.3953-val_acc:0.9237
Epoch 2674/5000
80/80-32s 400ms/step-loss:0.0975-acc:0.9935-val_loss:0.3868-val_acc:0.9279
Epoch 2675/5000
80/80-32s 399ms/step-loss:0.0990-acc:0.9930-val_loss:0.4006-val_acc:0.9199
Epoch 2676/5000
80/80-32s 400ms/step-loss:0.0964-acc:0.9934-val_loss:0.4220-val_acc:0.9188
Epoch 2677/5000
80/80-32s 399ms/step-loss:0.1000-acc:0.9929-val_loss:0.4106-val_acc:0.9204
Epoch 2678/5000
80/80-32s 399ms/step-loss:0.0999-acc:0.9929-val_loss:0.4121-val_acc:0.9190
Epoch 2679/5000
80/80-32s 399ms/step-loss:0.0965-acc:0.9941-val_loss:0.4127-val_acc:0.9188
Epoch 2680/5000
80/80-32s 399ms/step-loss:0.0980-acc:0.9932-val_loss:0.4100-val_acc:0.9202
Epoch 2681/5000
80/80-32s 399ms/step-loss:0.0969-acc:0.9940-val_loss:0.4025-val_acc:0.9228
Epoch 2682/5000
80/80-32s 399ms/step-loss:0.0962-acc:0.9940-val_loss:0.4207-val_acc:0.9190
Epoch 2683/5000
80/80-32s 399ms/step-loss:0.0992-acc:0.9931-val_loss:0.4197-val_acc:0.9177
Epoch 2684/5000
80/80-32s 399ms/step-loss:0.0983-acc:0.9934-val_loss:0.4109-val_acc:0.9206
Epoch 2685/5000
80/80-32s 399ms/step-loss:0.0965-acc:0.9938-val_loss:0.4025-val_acc:0.9218
Epoch 2686/5000
80/80-32s 399ms/step-loss:0.0968-acc:0.9936-val_loss:0.4093-val_acc:0.9219
Epoch 2687/5000
80/80-32s 400ms/step-loss:0.0970-acc:0.9934-val_loss:0.4014-val_acc:0.9196
Epoch 2688/5000
80/80-32s 400ms/step-loss:0.0976-acc:0.9934-val_loss:0.4054-val_acc:0.9226
Epoch 2689/5000
80/80-32s 400ms/step-loss:0.0964-acc:0.9936-val_loss:0.4357-val_acc:0.9176
Epoch 2690/5000
80/80-32s 400ms/step-loss:0.0996-acc:0.9927-val_loss:0.4148-val_acc:0.9204
Epoch 2691/5000
80/80-32s 399ms/step-loss:0.0999-acc:0.9930-val_loss:0.4421-val_acc:0.9148
Epoch 2692/5000
80/80-32s 399ms/step-loss:0.1005-acc:0.9918-val_loss:0.4207-val_acc:0.9183
Epoch 2693/5000
80/80-32s 399ms/step-loss:0.0955-acc:0.9942-val_loss:0.4128-val_acc:0.9198
Epoch 2694/5000
80/80-32s 400ms/step-loss:0.0985-acc:0.9931-val_loss:0.4005-val_acc:0.9238
Epoch 2695/5000
80/80-32s 400ms/step-loss:0.0960-acc:0.9937-val_loss:0.4034-val_acc:0.9219
Epoch 2696/5000
80/80-32s 399ms/step-loss:0.0971-acc:0.9933-val_loss:0.4024-val_acc:0.9232
Epoch 2697/5000
80/80-32s 400ms/step-loss:0.0954-acc:0.9942-val_loss:0.4048-val_acc:0.9216
Epoch 2698/5000
80/80-32s 399ms/step-loss:0.0964-acc:0.9938-val_loss:0.4180-val_acc:0.9184
Epoch 2699/5000
80/80-32s 400ms/step-loss:0.0962-acc:0.9940-val_loss:0.4164-val_acc:0.9208
Epoch 2700/5000
80/80-32s 399ms/step-loss:0.0968-acc:0.9938-val_loss:0.4152-val_acc:0.9186
Epoch 2701/5000
80/80-32s 399ms/step-loss:0.0991-acc:0.9929-val_loss:0.4133-val_acc:0.9202
Epoch 2702/5000
80/80-32s 400ms/step-loss:0.0979-acc:0.9929-val_loss:0.3980-val_acc:0.9215
Epoch 2703/5000
80/80-32s 399ms/step-loss:0.0965-acc:0.9940-val_loss:0.4181-val_acc:0.9183
Epoch 2704/5000
80/80-32s 400ms/step-loss:0.0976-acc:0.9937-val_loss:0.4209-val_acc:0.9201
Epoch 2705/5000
80/80-32s 400ms/step-loss:0.0973-acc:0.9936-val_loss:0.4127-val_acc:0.9203
Epoch 2706/5000
80/80-32s 399ms/step-loss:0.0978-acc:0.9934-val_loss:0.4009-val_acc:0.9232
Epoch 2707/5000
80/80-32s 400ms/step-loss:0.0963-acc:0.9938-val_loss:0.4163-val_acc:0.9188
Epoch 2708/5000
80/80-32s 400ms/step-loss:0.1013-acc:0.9926-val_loss:0.4137-val_acc:0.9184
Epoch 2709/5000
80/80-32s 399ms/step-loss:0.0980-acc:0.9933-val_loss:0.4121-val_acc:0.9202
Epoch 2710/5000
80/80-32s 400ms/step-loss:0.0947-acc:0.9943-val_loss:0.4124-val_acc:0.9214
Epoch 2711/5000
80/80-32s 399ms/step-loss:0.0967-acc:0.9939-val_loss:0.4326-val_acc:0.9164
Epoch 2712/5000
80/80-32s 400ms/step-loss:0.0969-acc:0.9935-val_loss:0.4284-val_acc:0.9170
Epoch 2713/5000
80/80-32s 399ms/step-loss:0.0991-acc:0.9927-val_loss:0.4333-val_acc:0.9171
Epoch 2714/5000
80/80-32s 400ms/step-loss:0.0984-acc:0.9930-val_loss:0.4169-val_acc:0.9168
Epoch 2715/5000
80/80-32s 400ms/step-loss:0.0974-acc:0.9939-val_loss:0.4255-val_acc:0.9151
Epoch 2716/5000
80/80-32s 399ms/step-loss:0.0989-acc:0.9929-val_loss:0.4167-val_acc:0.9198
Epoch 2717/5000
80/80-32s 400ms/step-loss:0.0980-acc:0.9932-val_loss:0.4285-val_acc:0.9159
Epoch 2718/5000
80/80-32s 400ms/step-loss:0.0972-acc:0.9933-val_loss:0.4089-val_acc:0.9190
Epoch 2719/5000
80/80-32s 399ms/step-loss:0.0976-acc:0.9932-val_loss:0.4192-val_acc:0.9172
Epoch 2720/5000
80/80-32s 400ms/step-loss:0.0990-acc:0.9933-val_loss:0.4182-val_acc:0.9173
Epoch 2721/5000
80/80-32s 400ms/step-loss:0.0990-acc:0.9929-val_loss:0.4402-val_acc:0.9162
Epoch 2722/5000
80/80-32s 399ms/step-loss:0.0999-acc:0.9927-val_loss:0.4046-val_acc:0.9209
Epoch 2723/5000
80/80-32s 399ms/step-loss:0.0987-acc:0.9932-val_loss:0.3987-val_acc:0.9237
Epoch 2724/5000
80/80-32s 399ms/step-loss:0.0954-acc:0.9940-val_loss:0.4187-val_acc:0.9198
Epoch 2725/5000
80/80-32s 399ms/step-loss:0.0971-acc:0.9933-val_loss:0.4090-val_acc:0.9192
Epoch 2726/5000
80/80-32s 399ms/step-loss:0.0964-acc:0.9940-val_loss:0.4208-val_acc:0.9179
Epoch 2727/5000
80/80-32s 399ms/step-loss:0.0974-acc:0.9934-val_loss:0.4090-val_acc:0.9226
Epoch 2728/5000
80/80-32s 399ms/step-loss:0.0970-acc:0.9937-val_loss:0.4152-val_acc:0.9195
Epoch 2729/5000
80/80-32s 400ms/step-loss:0.0968-acc:0.9935-val_loss:0.4141-val_acc:0.9203
Epoch 2730/5000
80/80-32s 399ms/step-loss:0.0976-acc:0.9938-val_loss:0.4124-val_acc:0.9190
Epoch 2731/5000
80/80-32s 399ms/step-loss:0.0964-acc:0.9936-val_loss:0.4213-val_acc:0.9205
Epoch 2732/5000
80/80-32s 399ms/step-loss:0.0963-acc:0.9941-val_loss:0.4038-val_acc:0.9224
Epoch 2733/5000
80/80-32s 400ms/step-loss:0.0971-acc:0.9938-val_loss:0.4017-val_acc:0.9220
Epoch 2734/5000
80/80-32s 400ms/step-loss:0.0976-acc:0.9932-val_loss:0.4037-val_acc:0.9185
Epoch 2735/5000
80/80-32s 399ms/step-loss:0.0946-acc:0.9943-val_loss:0.4279-val_acc:0.9170
Epoch 2736/5000
80/80-32s 399ms/step-loss:0.0978-acc:0.9932-val_loss:0.4096-val_acc:0.9191
Epoch 2737/5000
80/80-32s 399ms/step-loss:0.0977-acc:0.9934-val_loss:0.4116-val_acc:0.9193
Epoch 2738/5000
80/80-32s 399ms/step-loss:0.0988-acc:0.9934-val_loss:0.4065-val_acc:0.9204
Epoch 2739/5000
80/80-32s 400ms/step-loss:0.0959-acc:0.9937-val_loss:0.4142-val_acc:0.9183
Epoch 2740/5000
80/80-32s 400ms/step-loss:0.0973-acc:0.9934-val_loss:0.4102-val_acc:0.9187
Epoch 2741/5000
80/80-32s 400ms/step-loss:0.0969-acc:0.9936-val_loss:0.3986-val_acc:0.9215
Epoch 2742/5000
80/80-32s 400ms/step-loss:0.0977-acc:0.9933-val_loss:0.3990-val_acc:0.9211
Epoch 2743/5000
80/80-32s 400ms/step-loss:0.0960-acc:0.9942-val_loss:0.4157-val_acc:0.9180
Epoch 2744/5000
80/80-32s 399ms/step-loss:0.0970-acc:0.9935-val_loss:0.4073-val_acc:0.9223
Epoch 2745/5000
80/80-32s 400ms/step-loss:0.0964-acc:0.9936-val_loss:0.4208-val_acc:0.9195
Epoch 2746/5000
80/80-32s 400ms/step-loss:0.0954-acc:0.9937-val_loss:0.4097-val_acc:0.9224
Epoch 2747/5000
80/80-32s 400ms/step-loss:0.0974-acc:0.9934-val_loss:0.4088-val_acc:0.9212
Epoch 2748/5000
80/80-32s 399ms/step-loss:0.0985-acc:0.9926-val_loss:0.3928-val_acc:0.9236
Epoch 2749/5000
80/80-32s 400ms/step-loss:0.0986-acc:0.9927-val_loss:0.3917-val_acc:0.9218
Epoch 2750/5000
80/80-32s 399ms/step-loss:0.0971-acc:0.9939-val_loss:0.4023-val_acc:0.9231
Epoch 2751/5000
80/80-32s 400ms/step-loss:0.0981-acc:0.9933-val_loss:0.3974-val_acc:0.9205
Epoch 2752/5000
80/80-32s 400ms/step-loss:0.0965-acc:0.9935-val_loss:0.4127-val_acc:0.9194
Epoch 2753/5000
80/80-32s 400ms/step-loss:0.0972-acc:0.9936-val_loss:0.4006-val_acc:0.9218
Epoch 2754/5000
80/80-32s 400ms/step-loss:0.0993-acc:0.9928-val_loss:0.4107-val_acc:0.9205
Epoch 2755/5000
80/80-32s 400ms/step-loss:0.0964-acc:0.9937-val_loss:0.3914-val_acc:0.9250
Epoch 2756/5000
80/80-32s 399ms/step-loss:0.0964-acc:0.9939-val_loss:0.3962-val_acc:0.9229
Epoch 2757/5000
80/80-32s 400ms/step-loss:0.0969-acc:0.9934-val_loss:0.4014-val_acc:0.9222
Epoch 2758/5000
80/80-32s 400ms/step-loss:0.0988-acc:0.9930-val_loss:0.4162-val_acc:0.9200
Epoch 2759/5000
80/80-32s 403ms/step-loss:0.0972-acc:0.9936-val_loss:0.4115-val_acc:0.9213
Epoch 2760/5000
80/80-32s 400ms/step-loss:0.0964-acc:0.9937-val_loss:0.4100-val_acc:0.9184
Epoch 2761/5000
80/80-32s 400ms/step-loss:0.0988-acc:0.9928-val_loss:0.4156-val_acc:0.9186
Epoch 2762/5000
80/80-32s 399ms/step-loss:0.0946-acc:0.9944-val_loss:0.4085-val_acc:0.9195
Epoch 2763/5000
80/80-32s 400ms/step-loss:0.0952-acc:0.9937-val_loss:0.4210-val_acc:0.9174
Epoch 2764/5000
80/80-32s 399ms/step-loss:0.0973-acc:0.9931-val_loss:0.4238-val_acc:0.9175
Epoch 2765/5000
80/80-32s 399ms/step-loss:0.0973-acc:0.9935-val_loss:0.4231-val_acc:0.9184
Epoch 2766/5000
80/80-32s 399ms/step-loss:0.0990-acc:0.9929-val_loss:0.4158-val_acc:0.9191
Epoch 2767/5000
80/80-32s 399ms/step-loss:0.0984-acc:0.9929-val_loss:0.4081-val_acc:0.9180
Epoch 2768/5000
80/80-32s 400ms/step-loss:0.0978-acc:0.9933-val_loss:0.4206-val_acc:0.9165
Epoch 2769/5000
80/80-32s 401ms/step-loss:0.0958-acc:0.9937-val_loss:0.4084-val_acc:0.9183
Epoch 2770/5000
80/80-32s 400ms/step-loss:0.0989-acc:0.9930-val_loss:0.4146-val_acc:0.9180
Epoch 2771/5000
80/80-32s 401ms/step-loss:0.0995-acc:0.9932-val_loss:0.4020-val_acc:0.9195
Epoch 2772/5000
80/80-32s 400ms/step-loss:0.0968-acc:0.9934-val_loss:0.3946-val_acc:0.9253
Epoch 2773/5000
80/80-32s 400ms/step-loss:0.0959-acc:0.9938-val_loss:0.4154-val_acc:0.9195
Epoch 2774/5000
80/80-32s 400ms/step-loss:0.0978-acc:0.9930-val_loss:0.4129-val_acc:0.9196
Epoch 2775/5000
80/80-32s 399ms/step-loss:0.0974-acc:0.9937-val_loss:0.4206-val_acc:0.9169
Epoch 2776/5000
80/80-32s 400ms/step-loss:0.0963-acc:0.9937-val_loss:0.4115-val_acc:0.9198
Epoch 2777/5000
80/80-32s 400ms/step-loss:0.0999-acc:0.9924-val_loss:0.4169-val_acc:0.9180
Epoch 2778/5000
80/80-32s 399ms/step-loss:0.0993-acc:0.9926-val_loss:0.4161-val_acc:0.9207
Epoch 2779/5000
80/80-32s 400ms/step-loss:0.1007-acc:0.9924-val_loss:0.4098-val_acc:0.9177
Epoch 2780/5000
80/80-32s 400ms/step-loss:0.1017-acc:0.9916-val_loss:0.4123-val_acc:0.9176
Epoch 2781/5000
80/80-32s 399ms/step-loss:0.0977-acc:0.9934-val_loss:0.4133-val_acc:0.9180
Epoch 2782/5000
80/80-32s 400ms/step-loss:0.0976-acc:0.9931-val_loss:0.4278-val_acc:0.9153
Epoch 2783/5000
80/80-32s 399ms/step-loss:0.0992-acc:0.9927-val_loss:0.4089-val_acc:0.9185
Epoch 2784/5000
80/80-32s 399ms/step-loss:0.0987-acc:0.9924-val_loss:0.4190-val_acc:0.9187
Epoch 2785/5000
80/80-32s 400ms/step-loss:0.0989-acc:0.9929-val_loss:0.4083-val_acc:0.9191
Epoch 2786/5000
80/80-32s 400ms/step-loss:0.0971-acc:0.9934-val_loss:0.4127-val_acc:0.9192
Epoch 2787/5000
80/80-32s 400ms/step-loss:0.0981-acc:0.9931-val_loss:0.4030-val_acc:0.9207
Epoch 2788/5000
80/80 - 32s 400ms/step - loss:0.0973 - acc:0.9935 - val_loss:0.3978 - val_acc:0.9218
Epoch 2789/5000
80/80 - 32s 400ms/step - loss:0.0970 - acc:0.9932 - val_loss:0.4080 - val_acc:0.9205
Epoch 2790/5000
80/80 - 32s 399ms/step - loss:0.0967 - acc:0.9940 - val_loss:0.4017 - val_acc:0.9217
Epoch 2791/5000
80/80 - 32s 400ms/step - loss:0.0970 - acc:0.9933 - val_loss:0.4003 - val_acc:0.9223
Epoch 2792/5000
80/80 - 32s 400ms/step - loss:0.0944 - acc:0.9943 - val_loss:0.4182 - val_acc:0.9211
Epoch 2793/5000
80/80 - 32s 400ms/step - loss:0.0974 - acc:0.9935 - val_loss:0.4142 - val_acc:0.9176
Epoch 2794/5000
80/80 - 32s 400ms/step - loss:0.0976 - acc:0.9935 - val_loss:0.3996 - val_acc:0.9209
Epoch 2795/5000
80/80 - 32s 400ms/step - loss:0.0980 - acc:0.9933 - val_loss:0.4202 - val_acc:0.9171
Epoch 2796/5000
80/80 - 32s 400ms/step - loss:0.1000 - acc:0.9926 - val_loss:0.4170 - val_acc:0.9189
Epoch 2797/5000
80/80 - 32s 399ms/step - loss:0.0982 - acc:0.9929 - val_loss:0.4060 - val_acc:0.9215
Epoch 2798/5000
80/80 - 32s 400ms/step - loss:0.0972 - acc:0.9932 - val_loss:0.4076 - val_acc:0.9205
Epoch 2799/5000
80/80 - 32s 400ms/step - loss:0.0952 - acc:0.9943 - val_loss:0.4100 - val_acc:0.9200
Epoch 2800/5000
80/80 - 32s 400ms/step - loss:0.0975 - acc:0.9935 - val_loss:0.4176 - val_acc:0.9184
Epoch 2801/5000
80/80 - 32s 400ms/step - loss:0.0971 - acc:0.9936 - val_loss:0.4148 - val_acc:0.9175
Epoch 2802/5000
80/80 - 32s 399ms/step - loss:0.0949 - acc:0.9942 - val_loss:0.4052 - val_acc:0.9218
Epoch 2803/5000
80/80 - 32s 400ms/step - loss:0.0964 - acc:0.9939 - val_loss:0.3979 - val_acc:0.9220
Epoch 2804/5000
80/80 - 32s 399ms/step - loss:0.0976 - acc:0.9928 - val_loss:0.3957 - val_acc:0.9225
Epoch 2805/5000
80/80 - 32s 399ms/step - loss:0.0980 - acc:0.9934 - val_loss:0.3964 - val_acc:0.9216
Epoch 2806/5000
80/80 - 32s 400ms/step - loss:0.0968 - acc:0.9935 - val_loss:0.4204 - val_acc:0.9203
Epoch 2807/5000
80/80 - 32s 400ms/step - loss:0.0983 - acc:0.9934 - val_loss:0.4139 - val_acc:0.9203
Epoch 2808/5000
80/80 - 32s 400ms/step - loss:0.0987 - acc:0.9929 - val_loss:0.4037 - val_acc:0.9192
Epoch 2809/5000
80/80 - 32s 400ms/step - loss:0.0986 - acc:0.9927 - val_loss:0.4057 - val_acc:0.9203
Epoch 2810/5000
80/80 - 32s 400ms/step - loss:0.0987 - acc:0.9930 - val_loss:0.4055 - val_acc:0.9181
Epoch 2811/5000
80/80 - 32s 400ms/step - loss:0.0975 - acc:0.9936 - val_loss:0.4011 - val_acc:0.9174
Epoch 2812/5000
80/80 - 32s 400ms/step - loss:0.0948 - acc:0.9944 - val_loss:0.4148 - val_acc:0.9197
Epoch 2813/5000
80/80 - 32s 400ms/step - loss:0.0956 - acc:0.9942 - val_loss:0.4006 - val_acc:0.9234
Epoch 2814/5000
80/80 - 32s 400ms/step - loss:0.0975 - acc:0.9934 - val_loss:0.3995 - val_acc:0.9185
Epoch 2815/5000
80/80 - 32s 400ms/step - loss:0.0964 - acc:0.9940 - val_loss:0.4069 - val_acc:0.9206
Epoch 2816/5000
80/80 - 32s 399ms/step - loss:0.0991 - acc:0.9924 - val_loss:0.4033 - val_acc:0.9209
Epoch 2817/5000
80/80 - 32s 399ms/step - loss:0.0977 - acc:0.9930 - val_loss:0.3956 - val_acc:0.9223
Epoch 2818/5000
80/80 - 32s 400ms/step - loss:0.0945 - acc:0.9945 - val_loss:0.3962 - val_acc:0.9258
Epoch 2819/5000
80/80 - 32s 399ms/step - loss:0.0947 - acc:0.9939 - val_loss:0.3998 - val_acc:0.9231
Epoch 2820/5000
80/80 - 32s 399ms/step - loss:0.0966 - acc:0.9937 - val_loss:0.4144 - val_acc:0.9206
Epoch 2821/5000
80/80 - 32s 400ms/step - loss:0.0970 - acc:0.9934 - val_loss:0.4081 - val_acc:0.9206
Epoch 2822/5000
80/80 - 32s 400ms/step - loss:0.0953 - acc:0.9940 - val_loss:0.4050 - val_acc:0.9226
Epoch 2823/5000
80/80 - 32s 400ms/step - loss:0.0958 - acc:0.9937 - val_loss:0.4340 - val_acc:0.9173
Epoch 2824/5000
80/80 - 32s 400ms/step - loss:0.1004 - acc:0.9921 - val_loss:0.3955 - val_acc:0.9213
Epoch 2825/5000
80/80 - 32s 400ms/step - loss:0.0972 - acc:0.9935 - val_loss:0.4043 - val_acc:0.9214
Epoch 2826/5000
80/80 - 32s 399ms/step - loss:0.0964 - acc:0.9938 - val_loss:0.4085 - val_acc:0.9219
Epoch 2827/5000
80/80 - 32s 400ms/step - loss:0.0988 - acc:0.9928 - val_loss:0.3964 - val_acc:0.9210
Epoch 2828/5000
80/80 - 32s 400ms/step - loss:0.0934 - acc:0.9948 - val_loss:0.4140 - val_acc:0.9205
Epoch 2829/5000
80/80 - 32s 400ms/step - loss:0.0945 - acc:0.9942 - val_loss:0.4219 - val_acc:0.9198
Epoch 2830/5000
80/80 - 32s 400ms/step - loss:0.0995 - acc:0.9923 - val_loss:0.4031 - val_acc:0.9197
Epoch 2831/5000
80/80 - 32s 400ms/step - loss:0.0964 - acc:0.9939 - val_loss:0.3897 - val_acc:0.9226
Epoch 2832/5000
80/80 - 32s 400ms/step - loss:0.1004 - acc:0.9927 - val_loss:0.3936 - val_acc:0.9214
Epoch 2833/5000
80/80 - 32s 400ms/step - loss:0.0978 - acc:0.9931 - val_loss:0.4018 - val_acc:0.9201
Epoch 2834/5000
80/80 - 32s 400ms/step - loss:0.0998 - acc:0.9924 - val_loss:0.3988 - val_acc:0.9198
Epoch 2835/5000
80/80 - 32s 400ms/step - loss:0.0975 - acc:0.9933 - val_loss:0.3856 - val_acc:0.9240
Epoch 2836/5000
80/80 - 32s 400ms/step - loss:0.0970 - acc:0.9939 - val_loss:0.3876 - val_acc:0.9229
Epoch 2837/5000
80/80 - 32s 400ms/step - loss:0.0941 - acc:0.9944 - val_loss:0.3920 - val_acc:0.9244
Epoch 2838/5000
80/80 - 32s 400ms/step - loss:0.0948 - acc:0.9944 - val_loss:0.4028 - val_acc:0.9221
Epoch 2839/5000
80/80 - 32s 400ms/step - loss:0.0937 - acc:0.9945 - val_loss:0.4004 - val_acc:0.9229
Epoch 2840/5000
80/80 - 32s 400ms/step - loss:0.0972 - acc:0.9934 - val_loss:0.3903 - val_acc:0.9226
Epoch 2841/5000
80/80 - 32s 400ms/step - loss:0.0973 - acc:0.9934 - val_loss:0.3857 - val_acc:0.9256
Epoch 2842/5000
80/80 - 32s 399ms/step - loss:0.0964 - acc:0.9936 - val_loss:0.4010 - val_acc:0.9221
Epoch 2843/5000
80/80 - 32s 400ms/step - loss:0.0967 - acc:0.9937 - val_loss:0.4024 - val_acc:0.9216
Epoch 2844/5000
80/80 - 32s 400ms/step - loss:0.0997 - acc:0.9926 - val_loss:0.3900 - val_acc:0.9236
Epoch 2845/5000
80/80 - 32s 400ms/step - loss:0.0969 - acc:0.9935 - val_loss:0.3953 - val_acc:0.9221
Epoch 2846/5000
80/80 - 32s 400ms/step - loss:0.0951 - acc:0.9938 - val_loss:0.4021 - val_acc:0.9208
Epoch 2847/5000
80/80 - 32s 400ms/step - loss:0.0979 - acc:0.9930 - val_loss:0.4009 - val_acc:0.9233
Epoch 2848/5000
80/80 - 32s 400ms/step - loss:0.0977 - acc:0.9930 - val_loss:0.3930 - val_acc:0.9237
Epoch 2849/5000
80/80 - 32s 400ms/step - loss:0.0956 - acc:0.9939 - val_loss:0.4015 - val_acc:0.9243
Epoch 2850/5000
80/80 - 32s 400ms/step - loss:0.0927 - acc:0.9948 - val_loss:0.4049 - val_acc:0.9207
Epoch 2851/5000
80/80 - 32s 400ms/step - loss:0.0946 - acc:0.9940 - val_loss:0.4033 - val_acc:0.9220
Epoch 2852/5000
80/80 - 32s 400ms/step - loss:0.0978 - acc:0.9929 - val_loss:0.4225 - val_acc:0.9175
Epoch 2853/5000
80/80 - 32s 400ms/step - loss:0.0997 - acc:0.9922 - val_loss:0.4070 - val_acc:0.9192
Epoch 2854/5000
80/80 - 32s 400ms/step - loss:0.0983 - acc:0.9928 - val_loss:0.4036 - val_acc:0.9210
Epoch 2855/5000
80/80 - 32s 399ms/step - loss:0.0987 - acc:0.9926 - val_loss:0.4075 - val_acc:0.9206
Epoch 2856/5000
80/80 - 32s 400ms/step - loss:0.0987 - acc:0.9927 - val_loss:0.4032 - val_acc:0.9203
Epoch 2857/5000
80/80 - 32s 401ms/step - loss:0.0969 - acc:0.9938 - val_loss:0.4019 - val_acc:0.9213
Epoch 2858/5000
80/80 - 32s 400ms/step - loss:0.0964 - acc:0.9937 - val_loss:0.3899 - val_acc:0.9238
Epoch 2859/5000
80/80 - 32s 400ms/step - loss:0.0975 - acc:0.9934 - val_loss:0.3993 - val_acc:0.9214
Epoch 2860/5000
80/80 - 32s 400ms/step - loss:0.0949 - acc:0.9941 - val_loss:0.3994 - val_acc:0.9235
Epoch 2861/5000
80/80 - 32s 401ms/step - loss:0.0970 - acc:0.9935 - val_loss:0.4064 - val_acc:0.9214
Epoch 2862/5000
80/80 - 32s 399ms/step - loss:0.0955 - acc:0.9940 - val_loss:0.4041 - val_acc:0.9193
Epoch 2863/5000
80/80 - 32s 400ms/step - loss:0.0962 - acc:0.9938 - val_loss:0.4191 - val_acc:0.9191
Epoch 2864/5000
80/80 - 32s 400ms/step - loss:0.0973 - acc:0.9931 - val_loss:0.4045 - val_acc:0.9201
Epoch 2865/5000
80/80 - 32s 399ms/step - loss:0.0954 - acc:0.9943 - val_loss:0.3977 - val_acc:0.9211
Epoch 2866/5000
80/80 - 32s 400ms/step - loss:0.0961 - acc:0.9938 - val_loss:0.3989 - val_acc:0.9227
Epoch 2867/5000
80/80 - 32s 400ms/step - loss:0.0953 - acc:0.9938 - val_loss:0.3939 - val_acc:0.9250
Epoch 2868/5000
80/80 - 32s 400ms/step - loss:0.0979 - acc:0.9930 - val_loss:0.4125 - val_acc:0.9216
Epoch 2869/5000
80/80 - 32s 400ms/step - loss:0.0980 - acc:0.9930 - val_loss:0.4048 - val_acc:0.9215
Epoch 2870/5000
80/80 - 32s 400ms/step - loss:0.0993 - acc:0.9924 - val_loss:0.4179 - val_acc:0.9196
Epoch 2871/5000
80/80 - 32s 399ms/step - loss:0.0972 - acc:0.9932 - val_loss:0.4137 - val_acc:0.9187
Epoch 2872/5000
80/80 - 32s 399ms/step - loss:0.0984 - acc:0.9931 - val_loss:0.4157 - val_acc:0.9195
Epoch 2873/5000
80/80 - 32s 400ms/step - loss:0.0962 - acc:0.9936 - val_loss:0.4047 - val_acc:0.9201
Epoch 2874/5000
80/80 - 32s 400ms/step - loss:0.0961 - acc:0.9935 - val_loss:0.4069 - val_acc:0.9214
Epoch 2875/5000
80/80 - 32s 400ms/step - loss:0.0955 - acc:0.9936 - val_loss:0.4101 - val_acc:0.9211
Epoch 2876/5000
80/80 - 32s 400ms/step - loss:0.0973 - acc:0.9933 - val_loss:0.4001 - val_acc:0.9206
Epoch 2877/5000
80/80 - 32s 400ms/step - loss:0.0964 - acc:0.9935 - val_loss:0.4101 - val_acc:0.9204
Epoch 2878/5000
80/80 - 32s 400ms/step - loss:0.0967 - acc:0.9934 - val_loss:0.4193 - val_acc:0.9174
Epoch 2879/5000
80/80 - 32s 400ms/step - loss:0.0972 - acc:0.9933 - val_loss:0.4158 - val_acc:0.9175
Epoch 2880/5000
80/80 - 32s 399ms/step - loss:0.0972 - acc:0.9932 - val_loss:0.4232 - val_acc:0.9165
Epoch 2881/5000
80/80 - 32s 399ms/step - loss:0.0967 - acc:0.9937 - val_loss:0.4191 - val_acc:0.9158
Epoch 2882/5000
80/80 - 32s 400ms/step - loss:0.0976 - acc:0.9931 - val_loss:0.4062 - val_acc:0.9201
Epoch 2883/5000
80/80 - 32s 400ms/step - loss:0.0976 - acc:0.9929 - val_loss:0.4061 - val_acc:0.9226
Epoch 2884/5000
80/80 - 32s 400ms/step - loss:0.0970 - acc:0.9933 - val_loss:0.4124 - val_acc:0.9204
Epoch 2885/5000
80/80 - 32s 400ms/step - loss:0.0980 - acc:0.9929 - val_loss:0.4139 - val_acc:0.9208
Epoch 2886/5000
80/80 - 32s 400ms/step - loss:0.0999 - acc:0.9925 - val_loss:0.3985 - val_acc:0.9198
Epoch 2887/5000
80/80 - 32s 399ms/step - loss:0.0984 - acc:0.9931 - val_loss:0.4021 - val_acc:0.9228
Epoch 2888/5000
80/80 - 32s 399ms/step - loss:0.0941 - acc:0.9943 - val_loss:0.3999 - val_acc:0.9217
Epoch 2889/5000
80/80 - 32s 400ms/step - loss:0.0963 - acc:0.9938 - val_loss:0.4054 - val_acc:0.9195
Epoch 2890/5000
80/80 - 32s 400ms/step - loss:0.0997 - acc:0.9925 - val_loss:0.4106 - val_acc:0.9215
Epoch 2891/5000
80/80 - 32s 400ms/step - loss:0.0988 - acc:0.9930 - val_loss:0.4006 - val_acc:0.9206
Epoch 2892/5000
80/80 - 32s 400ms/step - loss:0.0969 - acc:0.9934 - val_loss:0.4031 - val_acc:0.9217
Epoch 2893/5000
80/80 - 32s 400ms/step - loss:0.0981 - acc:0.9931 - val_loss:0.4196 - val_acc:0.9153
Epoch 2894/5000
80/80 - 32s 399ms/step - loss:0.0960 - acc:0.9937 - val_loss:0.4029 - val_acc:0.9210
Epoch 2895/5000
80/80 - 32s 399ms/step - loss:0.0943 - acc:0.9942 - val_loss:0.4019 - val_acc:0.9227
Epoch 2896/5000
80/80 - 32s 400ms/step - loss:0.0972 - acc:0.9936 - val_loss:0.4055 - val_acc:0.9214
Epoch 2897/5000
80/80 - 32s 400ms/step - loss:0.0954 - acc:0.9936 - val_loss:0.4086 - val_acc:0.9233
Epoch 2898/5000
80/80 - 32s 400ms/step - loss:0.0970 - acc:0.9931 - val_loss:0.4137 - val_acc:0.9195
Epoch 2899/5000
80/80 - 32s 399ms/step - loss:0.0993 - acc:0.9927 - val_loss:0.3915 - val_acc:0.9229
Epoch 2900/5000
80/80 - 32s 400ms/step - loss:0.0993 - acc:0.9928 - val_loss:0.3793 - val_acc:0.9265
Epoch 2901/5000
80/80 - 32s 399ms/step - loss:0.0956 - acc:0.9936 - val_loss:0.3990 - val_acc:0.9229
Epoch 2902/5000
80/80 - 32s 399ms/step - loss:0.0976 - acc:0.9929 - val_loss:0.4090 - val_acc:0.9201
Epoch 2903/5000
80/80 - 32s 400ms/step - loss:0.0959 - acc:0.9937 - val_loss:0.4035 - val_acc:0.9232
Epoch 2904/5000
80/80 - 32s 399ms/step - loss:0.0982 - acc:0.9930 - val_loss:0.4085 - val_acc:0.9210
Epoch 2905/5000
80/80 - 32s 401ms/step - loss:0.0955 - acc:0.9936 - val_loss:0.4115 - val_acc:0.9212
Epoch 2906/5000
80/80 - 32s 400ms/step - loss:0.0993 - acc:0.9926 - val_loss:0.4004 - val_acc:0.9202
Epoch 2907/5000
80/80 - 32s 399ms/step - loss:0.0966 - acc:0.9938 - val_loss:0.3916 - val_acc:0.9217
Epoch 2908/5000
80/80 - 32s 399ms/step - loss:0.0946 - acc:0.9940 - val_loss:0.4052 - val_acc:0.9215
Epoch 2909/5000
80/80 - 32s 400ms/step - loss:0.0953 - acc:0.9941 - val_loss:0.4041 - val_acc:0.9218
Epoch 2910/5000
80/80 - 32s 400ms/step - loss:0.0957 - acc:0.9938 - val_loss:0.4080 - val_acc:0.9225
Epoch 2911/5000
80/80 - 32s 400ms/step - loss:0.0984 - acc:0.9928 - val_loss:0.4084 - val_acc:0.9204
Epoch 2912/5000
80/80 - 32s 400ms/step - loss:0.0957 - acc:0.9937 - val_loss:0.4140 - val_acc:0.9189
Epoch 2913/5000
80/80 - 32s 400ms/step - loss:0.0974 - acc:0.9932 - val_loss:0.3915 - val_acc:0.9228
Epoch 2914/5000
80/80 - 32s 400ms/step - loss:0.0968 - acc:0.9939 - val_loss:0.3995 - val_acc:0.9218
Epoch 2915/5000
80/80 - 32s 400ms/step - loss:0.0965 - acc:0.9936 - val_loss:0.4201 - val_acc:0.9200
Epoch 2916/5000
80/80 - 32s 400ms/step - loss:0.0967 - acc:0.9937 - val_loss:0.3995 - val_acc:0.9223
Epoch 2917/5000
80/80 - 32s 400ms/step - loss:0.0959 - acc:0.9937 - val_loss:0.4102 - val_acc:0.9200
Epoch 2918/5000
80/80 - 32s 400ms/step - loss:0.0955 - acc:0.9939 - val_loss:0.4134 - val_acc:0.9197
Epoch 2919/5000
80/80 - 32s 400ms/step - loss:0.0966 - acc:0.9936 - val_loss:0.4088 - val_acc:0.9232
Epoch 2920/5000
80/80 - 32s 399ms/step - loss:0.0969 - acc:0.9930 - val_loss:0.4175 - val_acc:0.9202
Epoch 2921/5000
80/80 - 32s 399ms/step - loss:0.0966 - acc:0.9935 - val_loss:0.4059 - val_acc:0.9207
Epoch 2922/5000
80/80 - 32s 400ms/step - loss:0.0983 - acc:0.9927 - val_loss:0.4131 - val_acc:0.9187
Epoch 2923/5000
80/80 - 32s 400ms/step - loss:0.0975 - acc:0.9933 - val_loss:0.4185 - val_acc:0.9204
Epoch 2924/5000
80/80 - 32s 404ms/step - loss:0.0952 - acc:0.9938 - val_loss:0.4081 - val_acc:0.9242
Epoch 2925/5000
80/80 - 32s 400ms/step - loss:0.0971 - acc:0.9933 - val_loss:0.4269 - val_acc:0.9153
Epoch 2926/5000
80/80 - 32s 400ms/step - loss:0.0981 - acc:0.9926 - val_loss:0.4256 - val_acc:0.9169
Epoch 2927/5000
80/80 - 32s 400ms/step - loss:0.0960 - acc:0.9934 - val_loss:0.4056 - val_acc:0.9221
Epoch 2928/5000
80/80 - 32s 400ms/step - loss:0.0971 - acc:0.9932 - val_loss:0.4175 - val_acc:0.9180
Epoch 2929/5000
80/80 - 32s 400ms/step - loss:0.0962 - acc:0.9937 - val_loss:0.4009 - val_acc:0.9214
Epoch 2930/5000
80/80 - 32s 400ms/step - loss:0.0960 - acc:0.9935 - val_loss:0.3967 - val_acc:0.9223
Epoch 2931/5000
80/80 - 32s 400ms/step - loss:0.0962 - acc:0.9940 - val_loss:0.4220 - val_acc:0.9176
Epoch 2932/5000
80/80 - 32s 401ms/step - loss:0.0975 - acc:0.9928 - val_loss:0.4027 - val_acc:0.9214
Epoch 2933/5000
80/80 - 32s 400ms/step - loss:0.0983 - acc:0.9927 - val_loss:0.4145 - val_acc:0.9176
Epoch 2934/5000
80/80 - 32s 400ms/step - loss:0.0943 - acc:0.9946 - val_loss:0.4156 - val_acc:0.9179
Epoch 2935/5000
80/80 - 32s 400ms/step - loss:0.0959 - acc:0.9933 - val_loss:0.4066 - val_acc:0.9221
Epoch 2936/5000
80/80 - 32s 400ms/step - loss:0.0967 - acc:0.9934 - val_loss:0.4068 - val_acc:0.9212
Epoch 2937/5000
80/80 - 32s 400ms/step - loss:0.0978 - acc:0.9927 - val_loss:0.4241 - val_acc:0.9167
Epoch 2938/5000
80/80 - 32s 400ms/step - loss:0.0980 - acc:0.9931 - val_loss:0.4394 - val_acc:0.9145
Epoch 2939/5000
80/80 - 32s 400ms/step - loss:0.0990 - acc:0.9931 - val_loss:0.4005 - val_acc:0.9216
Epoch 2940/5000
80/80 - 32s 399ms/step - loss:0.0986 - acc:0.9927 - val_loss:0.4044 - val_acc:0.9193
Epoch 2941/5000
80/80 - 32s 400ms/step - loss:0.0954 - acc:0.9942 - val_loss:0.4181 - val_acc:0.9186
Epoch 2942/5000
80/80 - 32s 400ms/step - loss:0.0958 - acc:0.9937 - val_loss:0.4147 - val_acc:0.9203
Epoch 2943/5000
80/80 - 32s 399ms/step - loss:0.0951 - acc:0.9942 - val_loss:0.4275 - val_acc:0.9175
Epoch 2944/5000
80/80 - 32s 400ms/step - loss:0.0939 - acc:0.9944 - val_loss:0.4291 - val_acc:0.9166
Epoch 2945/5000
80/80 - 32s 400ms/step - loss:0.0982 - acc:0.9928 - val_loss:0.4092 - val_acc:0.9196
Epoch 2946/5000
80/80 - 32s 399ms/step - loss:0.0978 - acc:0.9932 - val_loss:0.4252 - val_acc:0.9205
Epoch 2947/5000
80/80 - 32s 400ms/step - loss:0.0966 - acc:0.9937 - val_loss:0.4080 - val_acc:0.9209
Epoch 2948/5000
80/80 - 32s 400ms/step - loss:0.0977 - acc:0.9930 - val_loss:0.4041 - val_acc:0.9204
Epoch 2949/5000
80/80 - 32s 399ms/step - loss:0.0955 - acc:0.9936 - val_loss:0.4146 - val_acc:0.9192
Epoch 2950/5000
80/80 - 32s 399ms/step - loss:0.1007 - acc:0.9920 - val_loss:0.4123 - val_acc:0.9200
Epoch 2951/5000
80/80 - 32s 399ms/step - loss:0.0988 - acc:0.9930 - val_loss:0.4133 - val_acc:0.9194
Epoch 2952/5000
80/80 - 32s 399ms/step - loss:0.0972 - acc:0.9929 - val_loss:0.4094 - val_acc:0.9190
Epoch 2953/5000
80/80 - 32s 400ms/step - loss:0.0969 - acc:0.9933 - val_loss:0.3973 - val_acc:0.9224
Epoch 2954/5000
80/80 - 32s 399ms/step - loss:0.0951 - acc:0.9938 - val_loss:0.4130 - val_acc:0.9218
Epoch 2955/5000
80/80 - 32s 400ms/step - loss:0.0978 - acc:0.9930 - val_loss:0.4078 - val_acc:0.9207
Epoch 2956/5000
80/80 - 32s 399ms/step - loss:0.0967 - acc:0.9937 - val_loss:0.4102 - val_acc:0.9188
Epoch 2957/5000
80/80 - 32s 400ms/step - loss:0.1000 - acc:0.9921 - val_loss:0.4272 - val_acc:0.9164
Epoch 2958/5000
80/80 - 32s 400ms/step - loss:0.0979 - acc:0.9932 - val_loss:0.4090 - val_acc:0.9187
Epoch 2959/5000
80/80 - 32s 400ms/step - loss:0.0963 - acc:0.9932 - val_loss:0.4071 - val_acc:0.9222
Epoch 2960/5000
80/80 - 32s 400ms/step - loss:0.0958 - acc:0.9940 - val_loss:0.4108 - val_acc:0.9208
Epoch 2961/5000
80/80 - 32s 399ms/step - loss:0.0949 - acc:0.9942 - val_loss:0.4117 - val_acc:0.9184
Epoch 2962/5000
80/80 - 32s 399ms/step - loss:0.0939 - acc:0.9948 - val_loss:0.4099 - val_acc:0.9209
Epoch 2963/5000
80/80 - 32s 400ms/step - loss:0.0957 - acc:0.9938 - val_loss:0.4137 - val_acc:0.9195
Epoch 2964/5000
80/80 - 32s 400ms/step - loss:0.0970 - acc:0.9934 - val_loss:0.3981 - val_acc:0.9202
Epoch 2965/5000
80/80 - 32s 399ms/step - loss:0.0961 - acc:0.9941 - val_loss:0.4239 - val_acc:0.9195
Epoch 2966/5000
80/80 - 32s 399ms/step - loss:0.0958 - acc:0.9939 - val_loss:0.4232 - val_acc:0.9203
Epoch 2967/5000
80/80 - 32s 400ms/step - loss:0.0972 - acc:0.9934 - val_loss:0.4074 - val_acc:0.9216
Epoch 2968/5000
80/80 - 32s 400ms/step - loss:0.0953 - acc:0.9936 - val_loss:0.4118 - val_acc:0.9193
Epoch 2969/5000
80/80 - 32s 399ms/step - loss:0.0973 - acc:0.9930 - val_loss:0.4131 - val_acc:0.9198
Epoch 2970/5000
80/80 - 32s 400ms/step - loss:0.0958 - acc:0.9940 - val_loss:0.4189 - val_acc:0.9160
Epoch 2971/5000
80/80 - 32s 400ms/step - loss:0.0980 - acc:0.9930 - val_loss:0.4057 - val_acc:0.9209
Epoch 2972/5000
80/80 - 32s 400ms/step - loss:0.0961 - acc:0.9931 - val_loss:0.4205 - val_acc:0.9179
Epoch 2973/5000
80/80 - 32s 399ms/step - loss:0.0967 - acc:0.9937 - val_loss:0.4125 - val_acc:0.9224
Epoch 2974/5000
80/80 - 32s 400ms/step - loss:0.0972 - acc:0.9934 - val_loss:0.3937 - val_acc:0.9228
Epoch 2975/5000
80/80 - 32s 399ms/step - loss:0.0983 - acc:0.9927 - val_loss:0.4062 - val_acc:0.9212
Epoch 2976/5000
80/80 - 32s 399ms/step - loss:0.0957 - acc:0.9937 - val_loss:0.4155 - val_acc:0.9193
Epoch 2977/5000
80/80 - 32s 400ms/step - loss:0.0947 - acc:0.9940 - val_loss:0.4231 - val_acc:0.9165
Epoch 2978/5000
80/80 - 32s 400ms/step - loss:0.0957 - acc:0.9934 - val_loss:0.4168 - val_acc:0.9203
Epoch 2979/5000
80/80 - 32s 400ms/step - loss:0.0962 - acc:0.9938 - val_loss:0.3969 - val_acc:0.9249
Epoch 2980/5000
80/80 - 32s 400ms/step - loss:0.0966 - acc:0.9933 - val_loss:0.4029 - val_acc:0.9222
Epoch 2981/5000
80/80 - 32s 400ms/step - loss:0.0958 - acc:0.9936 - val_loss:0.4147 - val_acc:0.9203
Epoch 2982/5000
80/80 - 32s 400ms/step - loss:0.0953 - acc:0.9937 - val_loss:0.4105 - val_acc:0.9237
Epoch 2983/5000
80/80 - 32s 400ms/step - loss:0.0978 - acc:0.9933 - val_loss:0.4073 - val_acc:0.9219
Epoch 2984/5000
80/80 - 32s 399ms/step - loss:0.0992 - acc:0.9927 - val_loss:0.4007 - val_acc:0.9206
Epoch 2985/5000
80/80 - 32s 400ms/step - loss:0.0979 - acc:0.9926 - val_loss:0.3869 - val_acc:0.9237
Epoch 2986/5000
80/80 - 32s 399ms/step - loss:0.0965 - acc:0.9934 - val_loss:0.4219 - val_acc:0.9190
Epoch 2987/5000
80/80 - 32s 399ms/step - loss:0.0957 - acc:0.9937 - val_loss:0.4208 - val_acc:0.9186
Epoch 2988/5000
80/80 - 32s 399ms/step - loss:0.0973 - acc:0.9932 - val_loss:0.4147 - val_acc:0.9178
Epoch 2989/5000
80/80 - 32s 399ms/step - loss:0.0952 - acc:0.9937 - val_loss:0.4166 - val_acc:0.9193
Epoch 2990/5000
80/80 - 32s 400ms/step - loss:0.0975 - acc:0.9930 - val_loss:0.4258 - val_acc:0.9171
Epoch 2991/5000
80/80 - 32s 399ms/step - loss:0.0943 - acc:0.9941 - val_loss:0.4181 - val_acc:0.9171
Epoch 2992/5000
80/80 - 32s 400ms/step - loss:0.0953 - acc:0.9939 - val_loss:0.4198 - val_acc:0.9200
Epoch 2993/5000
80/80 - 32s 399ms/step - loss:0.0972 - acc:0.9930 - val_loss:0.4107 - val_acc:0.9197
Epoch 2994/5000
80/80 - 32s 399ms/step - loss:0.0968 - acc:0.9933 - val_loss:0.4157 - val_acc:0.9169
Epoch 2995/5000
80/80 - 32s 399ms/step - loss:0.0942 - acc:0.9946 - val_loss:0.4168 - val_acc:0.9182
Epoch 2996/5000
80/80 - 32s 400ms/step - loss:0.0985 - acc:0.9928 - val_loss:0.3975 - val_acc:0.9207
Epoch 2997/5000
80/80 - 32s 399ms/step - loss:0.0959 - acc:0.9935 - val_loss:0.3998 - val_acc:0.9207
Epoch 2998/5000
80/80 - 32s 400ms/step - loss:0.0964 - acc:0.9934 - val_loss:0.4053 - val_acc:0.9188
Epoch 2999/5000
80/80 - 32s 400ms/step - loss:0.0964 - acc:0.9937 - val_loss:0.4064 - val_acc:0.9224
Epoch 3000/5000
80/80 - 32s 400ms/step - loss:0.0980 - acc:0.9927 - val_loss:0.3968 - val_acc:0.9236
Epoch 3001/5000
lr changed to 0.0009999999776482583
80/80 - 32s 400ms/step - loss:0.0968 - acc:0.9934 - val_loss:0.3838 - val_acc:0.9253
Epoch 3002/5000
80/80 - 32s 400ms/step - loss:0.0884 - acc:0.9963 - val_loss:0.3789 - val_acc:0.9271
Epoch 3003/5000
80/80 - 32s 400ms/step - loss:0.0875 - acc:0.9969 - val_loss:0.3780 - val_acc:0.9271
Epoch 3004/5000
80/80 - 32s 400ms/step - loss:0.0847 - acc:0.9976 - val_loss:0.3759 - val_acc:0.9278
Epoch 3005/5000
80/80 - 32s 400ms/step - loss:0.0851 - acc:0.9976 - val_loss:0.3754 - val_acc:0.9282
Epoch 3006/5000
80/80 - 32s 400ms/step - loss:0.0834 - acc:0.9981 - val_loss:0.3740 - val_acc:0.9288
Epoch 3007/5000
80/80 - 32s 400ms/step - loss:0.0830 - acc:0.9982 - val_loss:0.3733 - val_acc:0.9300
Epoch 3008/5000
80/80 - 32s 399ms/step - loss:0.0831 - acc:0.9982 - val_loss:0.3756 - val_acc:0.9301
Epoch 3009/5000
80/80 - 32s 400ms/step - loss:0.0821 - acc:0.9984 - val_loss:0.3762 - val_acc:0.9308
Epoch 3010/5000
80/80 - 32s 399ms/step - loss:0.0824 - acc:0.9982 - val_loss:0.3773 - val_acc:0.9300
Epoch 3011/5000
80/80 - 32s 400ms/step - loss:0.0818 - acc:0.9984 - val_loss:0.3797 - val_acc:0.9299
Epoch 3012/5000
80/80 - 32s 400ms/step - loss:0.0821 - acc:0.9985 - val_loss:0.3804 - val_acc:0.9294
Epoch 3013/5000
80/80 - 32s 400ms/step - loss:0.0812 - acc:0.9988 - val_loss:0.3811 - val_acc:0.9288
Epoch 3014/5000
80/80 - 32s 400ms/step - loss:0.0819 - acc:0.9984 - val_loss:0.3810 - val_acc:0.9300
Epoch 3015/5000
80/80 - 32s 400ms/step - loss:0.0812 - acc:0.9987 - val_loss:0.3800 - val_acc:0.9302
Epoch 3016/5000
80/80 - 32s 400ms/step - loss:0.0813 - acc:0.9989 - val_loss:0.3814 - val_acc:0.9299
Epoch 3017/5000
80/80 - 32s 400ms/step - loss:0.0811 - acc:0.9988 - val_loss:0.3826 - val_acc:0.9297
Epoch 3018/5000
80/80 - 32s 400ms/step - loss:0.0807 - acc:0.9988 - val_loss:0.3823 - val_acc:0.9307
Epoch 3019/5000
80/80 - 32s 400ms/step - loss:0.0808 - acc:0.9987 - val_loss:0.3813 - val_acc:0.9305
Epoch 3020/5000
80/80 - 32s 400ms/step - loss:0.0810 - acc:0.9988 - val_loss:0.3836 - val_acc:0.9296
Epoch 3021/5000
80/80 - 32s 400ms/step - loss:0.0809 - acc:0.9987 - val_loss:0.3835 - val_acc:0.9307
Epoch 3022/5000
80/80 - 32s 400ms/step - loss:0.0803 - acc:0.9988 - val_loss:0.3824 - val_acc:0.9301
Epoch 3023/5000
80/80 - 32s 399ms/step - loss:0.0807 - acc:0.9989 - val_loss:0.3825 - val_acc:0.9303
Epoch 3024/5000
80/80 - 32s 404ms/step - loss:0.0802 - acc:0.9990 - val_loss:0.3835 - val_acc:0.9301
Epoch 3025/5000
80/80 - 32s 400ms/step - loss:0.0801 - acc:0.9989 - val_loss:0.3835 - val_acc:0.9294
Epoch 3026/5000
80/80 - 32s 400ms/step - loss:0.0806 - acc:0.9986 - val_loss:0.3824 - val_acc:0.9306
Epoch 3027/5000
80/80 - 32s 400ms/step - loss:0.0805 - acc:0.9989 - val_loss:0.3806 - val_acc:0.9304
Epoch 3028/5000
80/80 - 32s 400ms/step - loss:0.0799 - acc:0.9991 - val_loss:0.3837 - val_acc:0.9303
Epoch 3029/5000
80/80 - 32s 400ms/step - loss:0.0799 - acc:0.9990 - val_loss:0.3835 - val_acc:0.9302
Epoch 3030/5000
80/80 - 32s 400ms/step - loss:0.0795 - acc:0.9991 - val_loss:0.3831 - val_acc:0.9312
Epoch 3031/5000
80/80 - 32s 400ms/step - loss:0.0803 - acc:0.9989 - val_loss:0.3833 - val_acc:0.9312
Epoch 3032/5000
80/80 - 32s 401ms/step - loss:0.0803 - acc:0.9989 - val_loss:0.3868 - val_acc:0.9298
Epoch 3033/5000
80/80 - 32s 400ms/step - loss:0.0792 - acc:0.9991 - val_loss:0.3878 - val_acc:0.9300
Epoch 3034/5000
80/80 - 32s 400ms/step - loss:0.0795 - acc:0.9990 - val_loss:0.3866 - val_acc:0.9302
Epoch 3035/5000
80/80 - 32s 400ms/step - loss:0.0801 - acc:0.9988 - val_loss:0.3845 - val_acc:0.9308
Epoch 3036/5000
80/80 - 32s 400ms/step - loss:0.0791 - acc:0.9993 - val_loss:0.3815 - val_acc:0.9313
Epoch 3037/5000
80/80 - 32s 400ms/step - loss:0.0790 - acc:0.9992 - val_loss:0.3807 - val_acc:0.9312
Epoch 3038/5000
80/80 - 32s 400ms/step - loss:0.0797 - acc:0.9990 - val_loss:0.3808 - val_acc:0.9317
Epoch 3039/5000
80/80 - 32s 400ms/step - loss:0.0795 - acc:0.9991 - val_loss:0.3818 - val_acc:0.9311
Epoch 3040/5000
80/80 - 32s 400ms/step - loss:0.0794 - acc:0.9990 - val_loss:0.3828 - val_acc:0.9319
Epoch 3041/5000
80/80 - 32s 400ms/step - loss:0.0797 - acc:0.9988 - val_loss:0.3847 - val_acc:0.9315
Epoch 3042/5000
80/80 - 32s 399ms/step - loss:0.0792 - acc:0.9991 - val_loss:0.3845 - val_acc:0.9312
Epoch 3043/5000
80/80 - 32s 400ms/step - loss:0.0790 - acc:0.9992 - val_loss:0.3861 - val_acc:0.9310
Epoch 3044/5000
80/80 - 32s 400ms/step - loss:0.0791 - acc:0.9990 - val_loss:0.3872 - val_acc:0.9309
Epoch 3045/5000
80/80 - 32s 399ms/step - loss:0.0799 - acc:0.9988 - val_loss:0.3869 - val_acc:0.9317
Epoch 3046/5000
80/80 - 32s 398ms/step - loss:0.0791 - acc:0.9991 - val_loss:0.3870 - val_acc:0.9324
Epoch 3047/5000
80/80 - 32s 399ms/step - loss:0.0789 - acc:0.9992 - val_loss:0.3876 - val_acc:0.9326
Epoch 3048/5000
80/80 - 32s 400ms/step - loss:0.0787 - acc:0.9991 - val_loss:0.3884 - val_acc:0.9321
Epoch 3049/5000
80/80 - 32s 400ms/step - loss:0.0786 - acc:0.9993 - val_loss:0.3874 - val_acc:0.9322
Epoch 3050/5000
80/80 - 32s 400ms/step - loss:0.0789 - acc:0.9991 - val_loss:0.3894 - val_acc:0.9316
Epoch 3051/5000
80/80 - 32s 400ms/step - loss:0.0791 - acc:0.9992 - val_loss:0.3875 - val_acc:0.9311
Epoch 3052/5000
80/80 - 32s 399ms/step - loss:0.0787 - acc:0.9991 - val_loss:0.3849 - val_acc:0.9318
Epoch 3053/5000
80/80 - 32s 399ms/step - loss:0.0787 - acc:0.9991 - val_loss:0.3865 - val_acc:0.9325
Epoch 3054/5000
80/80 - 32s 400ms/step - loss:0.0785 - acc:0.9992 - val_loss:0.3880 - val_acc:0.9316
Epoch 3055/5000
80/80 - 32s 399ms/step - loss:0.0782 - acc:0.9994 - val_loss:0.3899 - val_acc:0.9322
Epoch 3056/5000
80/80 - 32s 400ms/step - loss:0.0787 - acc:0.9991 - val_loss:0.3896 - val_acc:0.9315
Epoch 3057/5000
80/80 - 32s 399ms/step - loss:0.0783 - acc:0.9992 - val_loss:0.3895 - val_acc:0.9322
Epoch 3058/5000
80/80 - 32s 400ms/step - loss:0.0781 - acc:0.9994 - val_loss:0.3903 - val_acc:0.9310
Epoch 3059/5000
80/80 - 32s 399ms/step - loss:0.0785 - acc:0.9991 - val_loss:0.3909 - val_acc:0.9315
Epoch 3060/5000
80/80 - 32s 399ms/step - loss:0.0785 - acc:0.9991 - val_loss:0.3904 - val_acc:0.9320
Epoch 3061/5000
80/80 - 32s 400ms/step - loss:0.0783 - acc:0.9992 - val_loss:0.3901 - val_acc:0.9324
Epoch 3062/5000
80/80 - 32s 399ms/step - loss:0.0779 - acc:0.9995 - val_loss:0.3888 - val_acc:0.9322
Epoch 3063/5000
80/80 - 32s 400ms/step - loss:0.0783 - acc:0.9993 - val_loss:0.3861 - val_acc:0.9325
Epoch 3064/5000
80/80 - 32s 400ms/step - loss:0.0779 - acc:0.9993 - val_loss:0.3867 - val_acc:0.9321
Epoch 3065/5000
80/80 - 32s 399ms/step - loss:0.0781 - acc:0.9993 - val_loss:0.3863 - val_acc:0.9322
Epoch 3066/5000
80/80 - 32s 400ms/step - loss:0.0785 - acc:0.9991 - val_loss:0.3847 - val_acc:0.9322
Epoch 3067/5000
80/80 - 32s 399ms/step - loss:0.0785 - acc:0.9991 - val_loss:0.3853 - val_acc:0.9319
Epoch 3068/5000
80/80 - 32s 400ms/step - loss:0.0778 - acc:0.9993 - val_loss:0.3843 - val_acc:0.9317
Epoch 3069/5000
80/80 - 32s 399ms/step - loss:0.0780 - acc:0.9993 - val_loss:0.3830 - val_acc:0.9318
Epoch 3070/5000
80/80 - 32s 400ms/step - loss:0.0780 - acc:0.9993 - val_loss:0.3841 - val_acc:0.9317
Epoch 3071/5000
80/80 - 32s 400ms/step - loss:0.0777 - acc:0.9994 - val_loss:0.3858 - val_acc:0.9317
Epoch 3072/5000
80/80 - 32s 399ms/step - loss:0.0780 - acc:0.9990 - val_loss:0.3869 - val_acc:0.9318
Epoch 3073/5000
80/80 - 32s 399ms/step - loss:0.0783 - acc:0.9991 - val_loss:0.3884 - val_acc:0.9320
Epoch 3074/5000
80/80 - 32s 400ms/step - loss:0.0776 - acc:0.9994 - val_loss:0.3898 - val_acc:0.9320
Epoch 3075/5000
80/80 - 32s 399ms/step - loss:0.0777 - acc:0.9994 - val_loss:0.3903 - val_acc:0.9321
Epoch 3076/5000
80/80 - 32s 399ms/step - loss:0.0784 - acc:0.9992 - val_loss:0.3896 - val_acc:0.9320
Epoch 3077/5000
80/80 - 32s 400ms/step - loss:0.0774 - acc:0.9993 - val_loss:0.3913 - val_acc:0.9311
Epoch 3078/5000
80/80 - 32s 403ms/step - loss:0.0776 - acc:0.9994 - val_loss:0.3905 - val_acc:0.9317
Epoch 3079/5000
80/80 - 32s 400ms/step - loss:0.0779 - acc:0.9991 - val_loss:0.3911 - val_acc:0.9309
Epoch 3080/5000
80/80 - 32s 399ms/step - loss:0.0780 - acc:0.9991 - val_loss:0.3926 - val_acc:0.9318
Epoch 3081/5000
80/80 - 32s 400ms/step - loss:0.0779 - acc:0.9991 - val_loss:0.3899 - val_acc:0.9317
Epoch 3082/5000
80/80 - 32s 400ms/step - loss:0.0775 - acc:0.9994 - val_loss:0.3904 - val_acc:0.9313
Epoch 3083/5000
80/80 - 32s 400ms/step - loss:0.0774 - acc:0.9993 - val_loss:0.3914 - val_acc:0.9317
Epoch 3084/5000
80/80 - 32s 400ms/step - loss:0.0780 - acc:0.9991 - val_loss:0.3894 - val_acc:0.9310
Epoch 3085/5000
80/80 - 32s 400ms/step - loss:0.0771 - acc:0.9995 - val_loss:0.3894 - val_acc:0.9316
Epoch 3086/5000
80/80 - 32s 400ms/step - loss:0.0774 - acc:0.9993 - val_loss:0.3907 - val_acc:0.9314
Epoch 3087/5000
80/80 - 32s 400ms/step - loss:0.0773 - acc:0.9993 - val_loss:0.3931 - val_acc:0.9309
Epoch 3088/5000
80/80 - 32s 400ms/step - loss:0.0768 - acc:0.9996 - val_loss:0.3946 - val_acc:0.9305
Epoch 3089/5000
80/80 - 32s 399ms/step - loss:0.0772 - acc:0.9994 - val_loss:0.3949 - val_acc:0.9299
Epoch 3090/5000
80/80 - 32s 400ms/step - loss:0.0776 - acc:0.9993 - val_loss:0.3971 - val_acc:0.9312
Epoch 3091/5000
80/80 - 32s 400ms/step - loss:0.0771 - acc:0.9995 - val_loss:0.3960 - val_acc:0.9310
Epoch 3092/5000
80/80 - 32s 400ms/step - loss:0.0773 - acc:0.9994 - val_loss:0.3976 - val_acc:0.9300
Epoch 3093/5000
80/80 - 32s 400ms/step - loss:0.0773 - acc:0.9993 - val_loss:0.3980 - val_acc:0.9296
Epoch 3094/5000
80/80 - 32s 400ms/step - loss:0.0772 - acc:0.9994 - val_loss:0.3988 - val_acc:0.9306
Epoch 3095/5000
80/80 - 32s 400ms/step - loss:0.0772 - acc:0.9993 - val_loss:0.4012 - val_acc:0.9295
Epoch 3096/5000
80/80 - 32s 400ms/step - loss:0.0768 - acc:0.9995 - val_loss:0.3996 - val_acc:0.9296
Epoch 3097/5000
80/80 - 32s 400ms/step - loss:0.0773 - acc:0.9993 - val_loss:0.3985 - val_acc:0.9294
Epoch 3098/5000
80/80 - 32s 401ms/step - loss:0.0773 - acc:0.9993 - val_loss:0.3982 - val_acc:0.9299
Epoch 3099/5000
80/80 - 32s 400ms/step - loss:0.0774 - acc:0.9992 - val_loss:0.3972 - val_acc:0.9299
Epoch 3100/5000
80/80 - 32s 400ms/step - loss:0.0771 - acc:0.9994 - val_loss:0.3970 - val_acc:0.9306
Epoch 3101/5000
80/80 - 32s 400ms/step - loss:0.0771 - acc:0.9993 - val_loss:0.3939 - val_acc:0.9304
Epoch 3102/5000
80/80 - 32s 400ms/step - loss:0.0772 - acc:0.9994 - val_loss:0.3938 - val_acc:0.9311
Epoch 3103/5000
80/80 - 32s 400ms/step - loss:0.0770 - acc:0.9993 - val_loss:0.3923 - val_acc:0.9308
Epoch 3104/5000
80/80 - 32s 400ms/step - loss:0.0768 - acc:0.9993 - val_loss:0.3923 - val_acc:0.9313
Epoch 3105/5000
80/80 - 32s 400ms/step - loss:0.0771 - acc:0.9993 - val_loss:0.3946 - val_acc:0.9304
Epoch 3106/5000
80/80 - 32s 399ms/step - loss:0.0766 - acc:0.9995 - val_loss:0.3959 - val_acc:0.9296
Epoch 3107/5000
80/80 - 32s 399ms/step - loss:0.0774 - acc:0.9990 - val_loss:0.3940 - val_acc:0.9304
Epoch 3108/5000
80/80 - 32s 399ms/step - loss:0.0767 - acc:0.9994 - val_loss:0.3944 - val_acc:0.9307
Epoch 3109/5000
80/80 - 32s 399ms/step - loss:0.0771 - acc:0.9992 - val_loss:0.3942 - val_acc:0.9296
Epoch 3110/5000
80/80 - 32s 400ms/step - loss:0.0760 - acc:0.9996 - val_loss:0.3949 - val_acc:0.9303
Epoch 3111/5000
80/80 - 32s 399ms/step - loss:0.0767 - acc:0.9994 - val_loss:0.3933 - val_acc:0.9306
Epoch 3112/5000
80/80 - 32s 399ms/step - loss:0.0768 - acc:0.9993 - val_loss:0.3945 - val_acc:0.9310
Epoch 3113/5000
80/80 - 32s 399ms/step - loss:0.0768 - acc:0.9993 - val_loss:0.3940 - val_acc:0.9314
Epoch 3114/5000
80/80 - 32s 399ms/step - loss:0.0773 - acc:0.9993 - val_loss:0.3902 - val_acc:0.9315
Epoch 3115/5000
80/80 - 32s 399ms/step - loss:0.0763 - acc:0.9995 - val_loss:0.3896 - val_acc:0.9325
Epoch 3116/5000
80/80 - 32s 400ms/step - loss:0.0763 - acc:0.9995 - val_loss:0.3923 - val_acc:0.9328
Epoch 3117/5000
80/80 - 32s 400ms/step - loss:0.0764 - acc:0.9994 - val_loss:0.3917 - val_acc:0.9330
Epoch 3118/5000
80/80 - 32s 400ms/step - loss:0.0768 - acc:0.9994 - val_loss:0.3927 - val_acc:0.9325
Epoch 3119/5000
80/80 - 32s 400ms/step - loss:0.0763 - acc:0.9994 - val_loss:0.3945 - val_acc:0.9310
Epoch 3120/5000
80/80 - 32s 399ms/step - loss:0.0771 - acc:0.9993 - val_loss:0.3959 - val_acc:0.9309
Epoch 3121/5000
80/80 - 32s 399ms/step - loss:0.0767 - acc:0.9994 - val_loss:0.3965 - val_acc:0.9311
Epoch 3122/5000
80/80 - 32s 399ms/step - loss:0.0766 - acc:0.9994 - val_loss:0.3950 - val_acc:0.9312
Epoch 3123/5000
80/80 - 32s 400ms/step - loss:0.0764 - acc:0.9994 - val_loss:0.3932 - val_acc:0.9316
Epoch 3124/5000
80/80 - 32s 400ms/step - loss:0.0764 - acc:0.9994 - val_loss:0.3934 - val_acc:0.9309
Epoch 3125/5000
80/80 - 32s 400ms/step - loss:0.0767 - acc:0.9994 - val_loss:0.3906 - val_acc:0.9316
Epoch 3126/5000
80/80 - 32s 400ms/step - loss:0.0762 - acc:0.9995 - val_loss:0.3904 - val_acc:0.9318
Epoch 3127/5000
80/80 - 32s 399ms/step - loss:0.0762 - acc:0.9994 - val_loss:0.3919 - val_acc:0.9312
Epoch 3128/5000
80/80 - 32s 399ms/step - loss:0.0764 - acc:0.9993 - val_loss:0.3937 - val_acc:0.9309
Epoch 3129/5000
80/80 - 32s 400ms/step - loss:0.0762 - acc:0.9995 - val_loss:0.3957 - val_acc:0.9301
Epoch 3130/5000
80/80 - 32s 400ms/step - loss:0.0765 - acc:0.9992 - val_loss:0.3955 - val_acc:0.9303
Epoch 3131/5000
80/80 - 32s 399ms/step - loss:0.0764 - acc:0.9993 - val_loss:0.3974 - val_acc:0.9298
Epoch 3132/5000
80/80 - 32s 400ms/step - loss:0.0764 - acc:0.9993 - val_loss:0.3986 - val_acc:0.9291
Epoch 3133/5000
80/80 - 32s 400ms/step - loss:0.0759 - acc:0.9995 - val_loss:0.3973 - val_acc:0.9287
Epoch 3134/5000
80/80 - 32s 399ms/step - loss:0.0761 - acc:0.9994 - val_loss:0.3968 - val_acc:0.9302
Epoch 3135/5000
80/80 - 32s 399ms/step - loss:0.0761 - acc:0.9994 - val_loss:0.3973 - val_acc:0.9292
Epoch 3136/5000
80/80 - 32s 399ms/step - loss:0.0761 - acc:0.9994 - val_loss:0.3970 - val_acc:0.9290
Epoch 3137/5000
80/80 - 32s 399ms/step - loss:0.0763 - acc:0.9994 - val_loss:0.3973 - val_acc:0.9297
Epoch 3138/5000
80/80 - 32s 399ms/step - loss:0.0763 - acc:0.9994 - val_loss:0.3962 - val_acc:0.9303
Epoch 3139/5000
80/80 - 32s 400ms/step - loss:0.0763 - acc:0.9992 - val_loss:0.3953 - val_acc:0.9309
Epoch 3140/5000
80/80 - 32s 399ms/step - loss:0.0758 - acc:0.9995 - val_loss:0.3926 - val_acc:0.9303
Epoch 3141/5000
80/80 - 32s 400ms/step - loss:0.0759 - acc:0.9995 - val_loss:0.3940 - val_acc:0.9301
Epoch 3142/5000
80/80 - 32s 399ms/step - loss:0.0758 - acc:0.9995 - val_loss:0.3931 - val_acc:0.9302
Epoch 3143/5000
80/80 - 32s 400ms/step - loss:0.0756 - acc:0.9996 - val_loss:0.3921 - val_acc:0.9316
Epoch 3144/5000
80/80 - 32s 399ms/step - loss:0.0759 - acc:0.9994 - val_loss:0.3920 - val_acc:0.9309
Epoch 3145/5000
80/80 - 32s 400ms/step - loss:0.0759 - acc:0.9994 - val_loss:0.3914 - val_acc:0.9314
Epoch 3146/5000
80/80 - 32s 400ms/step - loss:0.0763 - acc:0.9994 - val_loss:0.3898 - val_acc:0.9307
Epoch 3147/5000
80/80 - 32s 400ms/step - loss:0.0759 - acc:0.9994 - val_loss:0.3891 - val_acc:0.9314
Epoch 3148/5000
80/80 - 32s 400ms/step - loss:0.0757 - acc:0.9996 - val_loss:0.3904 - val_acc:0.9313
Epoch 3149/5000
80/80 - 32s 400ms/step - loss:0.0763 - acc:0.9992 - val_loss:0.3872 - val_acc:0.9326
Epoch 3150/5000
80/80 - 32s 400ms/step - loss:0.0755 - acc:0.9995 - val_loss:0.3876 - val_acc:0.9323
Epoch 3151/5000
80/80 - 32s 400ms/step - loss:0.0759 - acc:0.9994 - val_loss:0.3885 - val_acc:0.9327
Epoch 3152/5000
80/80 - 32s 400ms/step - loss:0.0757 - acc:0.9994 - val_loss:0.3878 - val_acc:0.9334
Epoch 3153/5000
80/80 - 32s 399ms/step - loss:0.0758 - acc:0.9993 - val_loss:0.3888 - val_acc:0.9327
Epoch 3154/5000
80/80 - 32s 399ms/step - loss:0.0761 - acc:0.9993 - val_loss:0.3887 - val_acc:0.9323
Epoch 3155/5000
80/80 - 32s 400ms/step - loss:0.0755 - acc:0.9995 - val_loss:0.3883 - val_acc:0.9321
Epoch 3156/5000
80/80 - 32s 400ms/step - loss:0.0758 - acc:0.9993 - val_loss:0.3893 - val_acc:0.9317
Epoch 3157/5000
80/80 - 32s 399ms/step - loss:0.0756 - acc:0.9994 - val_loss:0.3908 - val_acc:0.9322
Epoch 3158/5000
80/80 - 32s 399ms/step - loss:0.0755 - acc:0.9995 - val_loss:0.3883 - val_acc:0.9318
Epoch 3159/5000
80/80 - 32s 399ms/step - loss:0.0758 - acc:0.9994 - val_loss:0.3882 - val_acc:0.9328
Epoch 3160/5000
80/80 - 32s 399ms/step - loss:0.0753 - acc:0.9995 - val_loss:0.3875 - val_acc:0.9339
Epoch 3161/5000
80/80 - 32s 399ms/step - loss:0.0754 - acc:0.9994 - val_loss:0.3880 - val_acc:0.9326
Epoch 3162/5000
80/80 - 32s 400ms/step - loss:0.0756 - acc:0.9994 - val_loss:0.3889 - val_acc:0.9332
Epoch 3163/5000
80/80 - 32s 400ms/step - loss:0.0755 - acc:0.9993 - val_loss:0.3869 - val_acc:0.9335
Epoch 3164/5000
80/80 - 32s 399ms/step - loss:0.0752 - acc:0.9996 - val_loss:0.3874 - val_acc:0.9337
Epoch 3165/5000
80/80 - 32s 399ms/step - loss:0.0752 - acc:0.9995 - val_loss:0.3903 - val_acc:0.9327
Epoch 3166/5000
80/80 - 32s 399ms/step - loss:0.0757 - acc:0.9995 - val_loss:0.3930 - val_acc:0.9327
Epoch 3167/5000
80/80 - 32s 399ms/step - loss:0.0755 - acc:0.9994 - val_loss:0.3949 - val_acc:0.9322
Epoch 3168/5000
80/80 - 32s 400ms/step - loss:0.0755 - acc:0.9995 - val_loss:0.3950 - val_acc:0.9314
Epoch 3169/5000
80/80 - 32s 400ms/step - loss:0.0752 - acc:0.9994 - val_loss:0.3953 - val_acc:0.9314
Epoch 3170/5000
80/80 - 32s 399ms/step - loss:0.0754 - acc:0.9994 - val_loss:0.3951 - val_acc:0.9320
Epoch 3171/5000
80/80 - 32s 399ms/step - loss:0.0747 - acc:0.9996 - val_loss:0.3974 - val_acc:0.9306
Epoch 3172/5000
80/80 - 32s 399ms/step - loss:0.0756 - acc:0.9994 - val_loss:0.3972 - val_acc:0.9312
Epoch 3173/5000
80/80 - 32s 399ms/step - loss:0.0751 - acc:0.9995 - val_loss:0.3980 - val_acc:0.9311
Epoch 3174/5000
80/80 - 32s 400ms/step - loss:0.0753 - acc:0.9994 - val_loss:0.3987 - val_acc:0.9311
Epoch 3175/5000
80/80 - 32s 400ms/step - loss:0.0755 - acc:0.9993 - val_loss:0.3958 - val_acc:0.9311
Epoch 3176/5000
80/80 - 32s 400ms/step - loss:0.0757 - acc:0.9992 - val_loss:0.3932 - val_acc:0.9318
Epoch 3177/5000
80/80 - 32s 399ms/step - loss:0.0752 - acc:0.9994 - val_loss:0.3926 - val_acc:0.9310
Epoch 3178/5000
80/80 - 32s 400ms/step - loss:0.0748 - acc:0.9996 - val_loss:0.3929 - val_acc:0.9307
Epoch 3179/5000
80/80 - 32s 400ms/step - loss:0.0748 - acc:0.9996 - val_loss:0.3938 - val_acc:0.9316
Epoch 3180/5000
80/80 - 32s 399ms/step - loss:0.0750 - acc:0.9995 - val_loss:0.3940 - val_acc:0.9324
Epoch 3181/5000
80/80 - 32s 400ms/step - loss:0.0753 - acc:0.9994 - val_loss:0.3950 - val_acc:0.9321
Epoch 3182/5000
80/80 - 32s 399ms/step - loss:0.0749 - acc:0.9995 - val_loss:0.3945 - val_acc:0.9310
Epoch 3183/5000
80/80 - 32s 399ms/step - loss:0.0749 - acc:0.9995 - val_loss:0.3920 - val_acc:0.9314
Epoch 3184/5000
80/80 - 32s 399ms/step - loss:0.0754 - acc:0.9993 - val_loss:0.3938 - val_acc:0.9310
Epoch 3185/5000
80/80 - 32s 400ms/step - loss:0.0746 - acc:0.9996 - val_loss:0.3940 - val_acc:0.9306
Epoch 3186/5000
80/80 - 32s 400ms/step - loss:0.0747 - acc:0.9996 - val_loss:0.3908 - val_acc:0.9308
Epoch 3187/5000
80/80 - 32s 399ms/step - loss:0.0750 - acc:0.9994 - val_loss:0.3889 - val_acc:0.9306
Epoch 3188/5000
80/80 - 32s 400ms/step - loss:0.0748 - acc:0.9994 - val_loss:0.3892 - val_acc:0.9308
Epoch 3189/5000
80/80 - 32s 400ms/step - loss:0.0748 - acc:0.9996 - val_loss:0.3894 - val_acc:0.9302
Epoch 3190/5000
80/80 - 32s 400ms/step - loss:0.0746 - acc:0.9996 - val_loss:0.3884 - val_acc:0.9317
Epoch 3191/5000
80/80 - 32s 400ms/step - loss:0.0750 - acc:0.9994 - val_loss:0.3910 - val_acc:0.9308
Epoch 3192/5000
80/80 - 32s 400ms/step - loss:0.0749 - acc:0.9995 - val_loss:0.3904 - val_acc:0.9311
Epoch 3193/5000
80/80 - 32s 400ms/step - loss:0.0752 - acc:0.9994 - val_loss:0.3901 - val_acc:0.9306
Epoch 3194/5000
80/80 - 32s 399ms/step - loss:0.0742 - acc:0.9997 - val_loss:0.3895 - val_acc:0.9302
Epoch 3195/5000
80/80 - 32s 400ms/step - loss:0.0749 - acc:0.9994 - val_loss:0.3904 - val_acc:0.9302
Epoch 3196/5000
80/80 - 32s 400ms/step - loss:0.0750 - acc:0.9993 - val_loss:0.3897 - val_acc:0.9305
Epoch 3197/5000
80/80 - 32s 399ms/step - loss:0.0743 - acc:0.9995 - val_loss:0.3925 - val_acc:0.9307
Epoch 3198/5000
80/80 - 32s 400ms/step - loss:0.0748 - acc:0.9995 - val_loss:0.3952 - val_acc:0.9301
Epoch 3199/5000
80/80 - 32s 400ms/step - loss:0.0748 - acc:0.9995 - val_loss:0.3948 - val_acc:0.9302
Epoch 3200/5000
80/80 - 32s 400ms/step - loss:0.0743 - acc:0.9996 - val_loss:0.3956 - val_acc:0.9300
Epoch 3201/5000
80/80 - 32s 399ms/step - loss:0.0751 - acc:0.9992 - val_loss:0.3927 - val_acc:0.9313
Epoch 3202/5000
80/80 - 32s 400ms/step - loss:0.0746 - acc:0.9995 - val_loss:0.3923 - val_acc:0.9313
Epoch 3203/5000
80/80 - 32s 400ms/step - loss:0.0747 - acc:0.9994 - val_loss:0.3922 - val_acc:0.9318
Epoch 3204/5000
80/80 - 32s 400ms/step - loss:0.0746 - acc:0.9995 - val_loss:0.3910 - val_acc:0.9317
Epoch 3205/5000
80/80 - 32s 400ms/step - loss:0.0746 - acc:0.9994 - val_loss:0.3901 - val_acc:0.9312
Epoch 3206/5000
80/80 - 32s 399ms/step - loss:0.0749 - acc:0.9994 - val_loss:0.3909 - val_acc:0.9312
Epoch 3207/5000
80/80 - 32s 400ms/step - loss:0.0743 - acc:0.9996 - val_loss:0.3912 - val_acc:0.9315
Epoch 3208/5000
80/80 - 32s 399ms/step - loss:0.0745 - acc:0.9994 - val_loss:0.3922 - val_acc:0.9304
Epoch 3209/5000
80/80 - 32s 400ms/step - loss:0.0748 - acc:0.9993 - val_loss:0.3928 - val_acc:0.9302
Epoch 3210/5000
80/80 - 32s 399ms/step - loss:0.0745 - acc:0.9995 - val_loss:0.3934 - val_acc:0.9294
Epoch 3211/5000
80/80 - 32s 400ms/step - loss:0.0741 - acc:0.9996 - val_loss:0.3945 - val_acc:0.9305
Epoch 3212/5000
80/80 - 32s 399ms/step - loss:0.0746 - acc:0.9994 - val_loss:0.3951 - val_acc:0.9298
Epoch 3213/5000
80/80 - 32s 400ms/step - loss:0.0743 - acc:0.9995 - val_loss:0.3967 - val_acc:0.9291
Epoch 3214/5000
80/80 - 32s 399ms/step - loss:0.0740 - acc:0.9996 - val_loss:0.3970 - val_acc:0.9302
Epoch 3215/5000
80/80 - 32s 400ms/step - loss:0.0741 - acc:0.9995 - val_loss:0.3991 - val_acc:0.9301
Epoch 3216/5000
80/80 - 32s 400ms/step - loss:0.0739 - acc:0.9996 - val_loss:0.3986 - val_acc:0.9298
Epoch 3217/5000
80/80 - 32s 400ms/step - loss:0.0739 - acc:0.9996 - val_loss:0.3987 - val_acc:0.9301
Epoch 3218/5000
80/80 - 32s 400ms/step - loss:0.0740 - acc:0.9996 - val_loss:0.3980 - val_acc:0.9304
Epoch 3219/5000
80/80 - 32s 399ms/step - loss:0.0739 - acc:0.9996 - val_loss:0.3976 - val_acc:0.9313
Epoch 3220/5000
80/80 - 32s 399ms/step - loss:0.0743 - acc:0.9994 - val_loss:0.4000 - val_acc:0.9307
Epoch 3221/5000
80/80 - 32s 399ms/step - loss:0.0739 - acc:0.9995 - val_loss:0.3957 - val_acc:0.9316
Epoch 3222/5000
80/80 - 32s 400ms/step - loss:0.0739 - acc:0.9994 - val_loss:0.3948 - val_acc:0.9309
Epoch 3223/5000
80/80 - 32s 400ms/step - loss:0.0738 - acc:0.9995 - val_loss:0.3947 - val_acc:0.9313
Epoch 3224/5000
80/80 - 32s 400ms/step - loss:0.0741 - acc:0.9994 - val_loss:0.3954 - val_acc:0.9322
Epoch 3225/5000
80/80 - 32s 399ms/step - loss:0.0742 - acc:0.9994 - val_loss:0.3951 - val_acc:0.9314
Epoch 3226/5000
80/80 - 32s 400ms/step - loss:0.0736 - acc:0.9997 - val_loss:0.3945 - val_acc:0.9311
Epoch 3227/5000
80/80 - 32s 399ms/step - loss:0.0740 - acc:0.9994 - val_loss:0.3941 - val_acc:0.9312
Epoch 3228/5000
80/80 - 32s 399ms/step - loss:0.0738 - acc:0.9996 - val_loss:0.3946 - val_acc:0.9300
Epoch 3229/5000
80/80 - 32s 399ms/step - loss:0.0736 - acc:0.9997 - val_loss:0.3950 - val_acc:0.9301
Epoch 3230/5000
80/80 - 32s 400ms/step - loss:0.0740 - acc:0.9996 - val_loss:0.3943 - val_acc:0.9305
Epoch 3231/5000
80/80 - 32s 400ms/step - loss:0.0737 - acc:0.9996 - val_loss:0.3974 - val_acc:0.9304
Epoch 3232/5000
80/80 - 32s 400ms/step - loss:0.0739 - acc:0.9995 - val_loss:0.3989 - val_acc:0.9297
Epoch 3233/5000
80/80 - 32s 399ms/step - loss:0.0737 - acc:0.9996 - val_loss:0.3974 - val_acc:0.9308
Epoch 3234/5000
80/80 - 32s 400ms/step - loss:0.0737 - acc:0.9995 - val_loss:0.3957 - val_acc:0.9312
Epoch 3235/5000
80/80 - 32s 400ms/step - loss:0.0739 - acc:0.9994 - val_loss:0.3945 - val_acc:0.9314
Epoch 3236/5000
80/80 - 32s 399ms/step - loss:0.0733 - acc:0.9998 - val_loss:0.3926 - val_acc:0.9323
Epoch 3237/5000
80/80 - 32s 400ms/step - loss:0.0740 - acc:0.9995 - val_loss:0.3936 - val_acc:0.9328
Epoch 3238/5000
80/80 - 32s 400ms/step - loss:0.0740 - acc:0.9994 - val_loss:0.3956 - val_acc:0.9314
Epoch 3239/5000
80/80 - 32s 400ms/step - loss:0.0740 - acc:0.9993 - val_loss:0.3962 - val_acc:0.9318
Epoch 3240/5000
80/80 - 32s 399ms/step - loss:0.0739 - acc:0.9994 - val_loss:0.3941 - val_acc:0.9309
Epoch 3241/5000
80/80 - 32s 400ms/step - loss:0.0740 - acc:0.9994 - val_loss:0.3926 - val_acc:0.9326
Epoch 3242/5000
80/80 - 32s 400ms/step - loss:0.0736 - acc:0.9996 - val_loss:0.3944 - val_acc:0.9310
Epoch 3243/5000
80/80 - 32s 399ms/step - loss:0.0738 - acc:0.9995 - val_loss:0.3934 - val_acc:0.9315
Epoch 3244/5000
80/80 - 32s 400ms/step - loss:0.0738 - acc:0.9994 - val_loss:0.3946 - val_acc:0.9308
Epoch 3245/5000
80/80 - 32s 399ms/step - loss:0.0734 - acc:0.9996 - val_loss:0.3942 - val_acc:0.9321
Epoch 3246/5000
80/80 - 32s 400ms/step - loss:0.0736 - acc:0.9995 - val_loss:0.3945 - val_acc:0.9322
Epoch 3247/5000
80/80 - 32s 400ms/step - loss:0.0733 - acc:0.9996 - val_loss:0.3948 - val_acc:0.9319
Epoch 3248/5000
80/80 - 32s 400ms/step - loss:0.0734 - acc:0.9995 - val_loss:0.3931 - val_acc:0.9321
Epoch 3249/5000
80/80 - 32s 400ms/step - loss:0.0731 - acc:0.9997 - val_loss:0.3953 - val_acc:0.9330
Epoch 3250/5000
80/80 - 32s 399ms/step - loss:0.0736 - acc:0.9995 - val_loss:0.3981 - val_acc:0.9326
Epoch 3251/5000
80/80 - 32s 400ms/step - loss:0.0732 - acc:0.9996 - val_loss:0.3976 - val_acc:0.9319
Epoch 3252/5000
80/80 - 32s 399ms/step - loss:0.0734 - acc:0.9995 - val_loss:0.3990 - val_acc:0.9320
Epoch 3253/5000
80/80 - 32s 400ms/step - loss:0.0734 - acc:0.9996 - val_loss:0.3986 - val_acc:0.9319
Epoch 3254/5000
80/80 - 32s 399ms/step - loss:0.0734 - acc:0.9995 - val_loss:0.3966 - val_acc:0.9316
Epoch 3255/5000
80/80 - 32s 400ms/step - loss:0.0737 - acc:0.9994 - val_loss:0.3945 - val_acc:0.9323
Epoch 3256/5000
80/80 - 32s 400ms/step - loss:0.0734 - acc:0.9995 - val_loss:0.3936 - val_acc:0.9327
Epoch 3257/5000
80/80 - 32s 400ms/step - loss:0.0739 - acc:0.9993 - val_loss:0.3952 - val_acc:0.9332
Epoch 3258/5000
80/80 - 32s 399ms/step - loss:0.0733 - acc:0.9994 - val_loss:0.3961 - val_acc:0.9319
Epoch 3259/5000
80/80 - 32s 399ms/step - loss:0.0734 - acc:0.9994 - val_loss:0.3954 - val_acc:0.9322
Epoch 3260/5000
80/80 - 32s 400ms/step - loss:0.0730 - acc:0.9997 - val_loss:0.3944 - val_acc:0.9325
Epoch 3261/5000
80/80 - 32s 399ms/step - loss:0.0734 - acc:0.9995 - val_loss:0.3933 - val_acc:0.9332
Epoch 3262/5000
80/80 - 32s 400ms/step - loss:0.0733 - acc:0.9995 - val_loss:0.3928 - val_acc:0.9331
Epoch 3263/5000
80/80 - 32s 400ms/step - loss:0.0732 - acc:0.9995 - val_loss:0.3937 - val_acc:0.9336
Epoch 3264/5000
80/80 - 32s 400ms/step - loss:0.0732 - acc:0.9995 - val_loss:0.3953 - val_acc:0.9330
Epoch 3265/5000
80/80 - 32s 400ms/step - loss:0.0733 - acc:0.9995 - val_loss:0.3958 - val_acc:0.9329
Epoch 3266/5000
80/80 - 32s 400ms/step - loss:0.0735 - acc:0.9994 - val_loss:0.3947 - val_acc:0.9335
Epoch 3267/5000
80/80 - 32s 399ms/step - loss:0.0729 - acc:0.9995 - val_loss:0.3950 - val_acc:0.9326
Epoch 3268/5000
80/80 - 32s 400ms/step - loss:0.0732 - acc:0.9995 - val_loss:0.3956 - val_acc:0.9322
Epoch 3269/5000
80/80 - 32s 399ms/step - loss:0.0731 - acc:0.9995 - val_loss:0.3941 - val_acc:0.9329
Epoch 3270/5000
80/80 - 32s 399ms/step - loss:0.0733 - acc:0.9995 - val_loss:0.3946 - val_acc:0.9335
Epoch 3271/5000
80/80 - 32s 399ms/step - loss:0.0733 - acc:0.9995 - val_loss:0.3947 - val_acc:0.9335
Epoch 3272/5000
80/80 - 32s 399ms/step - loss:0.0730 - acc:0.9995 - val_loss:0.3971 - val_acc:0.9322
Epoch 3273/5000
80/80 - 32s 400ms/step - loss:0.0730 - acc:0.9996 - val_loss:0.3974 - val_acc:0.9316
Epoch 3274/5000
80/80 - 32s 400ms/step - loss:0.0728 - acc:0.9996 - val_loss:0.3976 - val_acc:0.9308
Epoch 3275/5000
80/80 - 32s 399ms/step - loss:0.0728 - acc:0.9996 - val_loss:0.3996 - val_acc:0.9309
Epoch 3276/5000
80/80 - 32s 400ms/step - loss:0.0730 - acc:0.9995 - val_loss:0.4002 - val_acc:0.9312
Epoch 3277/5000
80/80 - 32s 403ms/step - loss:0.0731 - acc:0.9996 - val_loss:0.3989 - val_acc:0.9315
Epoch 3278/5000
80/80 - 32s 400ms/step - loss:0.0724 - acc:0.9997 - val_loss:0.3974 - val_acc:0.9312
Epoch 3279/5000
80/80 - 32s 399ms/step - loss:0.0730 - acc:0.9994 - val_loss:0.3980 - val_acc:0.9311
Epoch 3280/5000
80/80 - 32s 400ms/step - loss:0.0728 - acc:0.9994 - val_loss:0.4013 - val_acc:0.9298
Epoch 3281/5000
80/80 - 32s 400ms/step - loss:0.0729 - acc:0.9995 - val_loss:0.3991 - val_acc:0.9306
Epoch 3282/5000
80/80 - 32s 399ms/step - loss:0.0725 - acc:0.9996 - val_loss:0.3975 - val_acc:0.9310
Epoch 3283/5000
80/80 - 32s 399ms/step - loss:0.0729 - acc:0.9996 - val_loss:0.3965 - val_acc:0.9305
Epoch 3284/5000
80/80 - 32s 399ms/step - loss:0.0724 - acc:0.9997 - val_loss:0.3968 - val_acc:0.9305
Epoch 3285/5000
80/80 - 32s 400ms/step - loss:0.0725 - acc:0.9995 - val_loss:0.3976 - val_acc:0.9304
Epoch 3286/5000
80/80 - 32s 400ms/step - loss:0.0726 - acc:0.9996 - val_loss:0.3992 - val_acc:0.9308
Epoch 3287/5000
80/80 - 32s 401ms/step - loss:0.0726 - acc:0.9996 - val_loss:0.3989 - val_acc:0.9309
Epoch 3288/5000
80/80 - 32s 400ms/step - loss:0.0727 - acc:0.9995 - val_loss:0.3995 - val_acc:0.9304
Epoch 3289/5000
80/80 - 32s 400ms/step - loss:0.0726 - acc:0.9995 - val_loss:0.3998 - val_acc:0.9315
Epoch 3290/5000
80/80 - 32s 400ms/step - loss:0.0723 - acc:0.9996 - val_loss:0.3989 - val_acc:0.9313
Epoch 3291/5000
80/80 - 32s 400ms/step - loss:0.0726 - acc:0.9995 - val_loss:0.3993 - val_acc:0.9312
Epoch 3292/5000
80/80 - 32s 400ms/step - loss:0.0725 - acc:0.9995 - val_loss:0.4003 - val_acc:0.9317
Epoch 3293/5000
80/80 - 32s 400ms/step - loss:0.0727 - acc:0.9994 - val_loss:0.4021 - val_acc:0.9321
Epoch 3294/5000
80/80 - 32s 400ms/step - loss:0.0724 - acc:0.9997 - val_loss:0.4023 - val_acc:0.9321
Epoch 3295/5000
80/80 - 32s 400ms/step - loss:0.0728 - acc:0.9995 - val_loss:0.4053 - val_acc:0.9316
Epoch 3296/5000
80/80 - 32s 400ms/step - loss:0.0728 - acc:0.9994 - val_loss:0.4020 - val_acc:0.9317
Epoch 3297/5000
80/80 - 32s 400ms/step - loss:0.0724 - acc:0.9995 - val_loss:0.3995 - val_acc:0.9315
Epoch 3298/5000
80/80 - 32s 400ms/step - loss:0.0723 - acc:0.9995 - val_loss:0.3999 - val_acc:0.9312
Epoch 3299/5000
80/80 - 32s 399ms/step - loss:0.0727 - acc:0.9994 - val_loss:0.3995 - val_acc:0.9317
Epoch 3300/5000
80/80 - 32s 400ms/step - loss:0.0722 - acc:0.9997 - val_loss:0.3985 - val_acc:0.9320
Epoch 3301/5000
80/80 - 32s 399ms/step - loss:0.0723 - acc:0.9996 - val_loss:0.4007 - val_acc:0.9305
Epoch 3302/5000
80/80 - 32s 400ms/step - loss:0.0725 - acc:0.9995 - val_loss:0.4001 - val_acc:0.9300
Epoch 3303/5000
80/80 - 32s 399ms/step - loss:0.0722 - acc:0.9995 - val_loss:0.3995 - val_acc:0.9304
Epoch 3304/5000
80/80 - 32s 400ms/step - loss:0.0726 - acc:0.9994 - val_loss:0.3968 - val_acc:0.9316
Epoch 3305/5000
80/80 - 32s 399ms/step - loss:0.0725 - acc:0.9994 - val_loss:0.3956 - val_acc:0.9328
Epoch 3306/5000
80/80 - 32s 399ms/step - loss:0.0725 - acc:0.9996 - val_loss:0.3955 - val_acc:0.9328
Epoch 3307/5000
80/80 - 32s 399ms/step - loss:0.0723 - acc:0.9995 - val_loss:0.3947 - val_acc:0.9320
Epoch 3308/5000
80/80 - 32s 399ms/step - loss:0.0722 - acc:0.9997 - val_loss:0.3956 - val_acc:0.9317
Epoch 3309/5000
80/80 - 32s 399ms/step - loss:0.0722 - acc:0.9995 - val_loss:0.3982 - val_acc:0.9307
Epoch 3310/5000
80/80 - 32s 399ms/step - loss:0.0720 - acc:0.9996 - val_loss:0.3976 - val_acc:0.9314
Epoch 3311/5000
80/80 - 32s 399ms/step - loss:0.0722 - acc:0.9996 - val_loss:0.3977 - val_acc:0.9316
Epoch 3312/5000
80/80 - 32s 399ms/step - loss:0.0722 - acc:0.9996 - val_loss:0.3980 - val_acc:0.9310
Epoch 3313/5000
80/80 - 32s 399ms/step - loss:0.0720 - acc:0.9996 - val_loss:0.3992 - val_acc:0.9316
Epoch 3314/5000
80/80 - 32s 400ms/step - loss:0.0722 - acc:0.9996 - val_loss:0.3976 - val_acc:0.9314
Epoch 3315/5000
80/80 - 32s 400ms/step - loss:0.0725 - acc:0.9994 - val_loss:0.3961 - val_acc:0.9321
Epoch 3316/5000
80/80 - 32s 400ms/step - loss:0.0718 - acc:0.9996 - val_loss:0.3942 - val_acc:0.9331
Epoch 3317/5000
80/80 - 32s 400ms/step - loss:0.0719 - acc:0.9995 - val_loss:0.3944 - val_acc:0.9327
Epoch 3318/5000
80/80 - 32s 399ms/step - loss:0.0718 - acc:0.9997 - val_loss:0.3941 - val_acc:0.9325
Epoch 3319/5000
80/80 - 32s 399ms/step - loss:0.0722 - acc:0.9994 - val_loss:0.3966 - val_acc:0.9323
Epoch 3320/5000
80/80 - 32s 399ms/step - loss:0.0723 - acc:0.9994 - val_loss:0.3972 - val_acc:0.9311
Epoch 3321/5000
80/80 - 32s 399ms/step - loss:0.0717 - acc:0.9997 - val_loss:0.3950 - val_acc:0.9312
Epoch 3322/5000
80/80 - 32s 404ms/step - loss:0.0721 - acc:0.9995 - val_loss:0.3933 - val_acc:0.9324
Epoch 3323/5000
80/80 - 32s 400ms/step - loss:0.0718 - acc:0.9995 - val_loss:0.3935 - val_acc:0.9310
Epoch 3324/5000
80/80 - 32s 400ms/step - loss:0.0720 - acc:0.9996 - val_loss:0.3960 - val_acc:0.9309
Epoch 3325/5000
80/80 - 32s 400ms/step - loss:0.0724 - acc:0.9995 - val_loss:0.3973 - val_acc:0.9311
Epoch 3326/5000
80/80 - 32s 400ms/step - loss:0.0717 - acc:0.9997 - val_loss:0.3973 - val_acc:0.9317
Epoch 3327/5000
80/80 - 32s 400ms/step - loss:0.0716 - acc:0.9997 - val_loss:0.3984 - val_acc:0.9319
Epoch 3328/5000
80/80 - 32s 400ms/step - loss:0.0721 - acc:0.9995 - val_loss:0.3979 - val_acc:0.9314
Epoch 3329/5000
80/80 - 32s 400ms/step - loss:0.0720 - acc:0.9994 - val_loss:0.3998 - val_acc:0.9309
Epoch 3330/5000
80/80 - 32s 400ms/step - loss:0.0718 - acc:0.9996 - val_loss:0.4017 - val_acc:0.9300
Epoch 3331/5000
80/80 - 32s 400ms/step - loss:0.0716 - acc:0.9997 - val_loss:0.4031 - val_acc:0.9299
Epoch 3332/5000
80/80 - 32s 401ms/step - loss:0.0718 - acc:0.9995 - val_loss:0.4006 - val_acc:0.9295
Epoch 3333/5000
80/80 - 32s 400ms/step - loss:0.0720 - acc:0.9995 - val_loss:0.4019 - val_acc:0.9303
Epoch 3334/5000
80/80 - 32s 400ms/step - loss:0.0716 - acc:0.9996 - val_loss:0.4017 - val_acc:0.9308
Epoch 3335/5000
80/80 - 32s 400ms/step - loss:0.0715 - acc:0.9997 - val_loss:0.3991 - val_acc:0.9310
Epoch 3336/5000
80/80 - 32s 399ms/step - loss:0.0721 - acc:0.9995 - val_loss:0.4007 - val_acc:0.9307
Epoch 3337/5000
80/80 - 32s 399ms/step - loss:0.0716 - acc:0.9996 - val_loss:0.4004 - val_acc:0.9311
Epoch 3338/5000
80/80 - 32s 399ms/step - loss:0.0717 - acc:0.9995 - val_loss:0.3993 - val_acc:0.9310
Epoch 3339/5000
80/80 - 32s 399ms/step - loss:0.0715 - acc:0.9996 - val_loss:0.3989 - val_acc:0.9305
Epoch 3340/5000
80/80 - 32s 399ms/step - loss:0.0715 - acc:0.9996 - val_loss:0.3979 - val_acc:0.9307
Epoch 3341/5000
80/80 - 32s 400ms/step - loss:0.0714 - acc:0.9997 - val_loss:0.3973 - val_acc:0.9313
Epoch 3342/5000
80/80 - 32s 400ms/step - loss:0.0715 - acc:0.9996 - val_loss:0.3977 - val_acc:0.9315
Epoch 3343/5000
80/80 - 32s 400ms/step - loss:0.0714 - acc:0.9996 - val_loss:0.3977 - val_acc:0.9317
Epoch 3344/5000
80/80 - 32s 399ms/step - loss:0.0715 - acc:0.9995 - val_loss:0.3964 - val_acc:0.9330
Epoch 3345/5000
80/80 - 32s 400ms/step - loss:0.0717 - acc:0.9994 - val_loss:0.3961 - val_acc:0.9336
Epoch 3346/5000
80/80 - 32s 399ms/step - loss:0.0717 - acc:0.9995 - val_loss:0.3935 - val_acc:0.9329
Epoch 3347/5000
80/80 - 32s 399ms/step - loss:0.0717 - acc:0.9994 - val_loss:0.3935 - val_acc:0.9338
Epoch 3348/5000
80/80 - 32s 400ms/step - loss:0.0714 - acc:0.9997 - val_loss:0.3965 - val_acc:0.9318
Epoch 3349/5000
80/80 - 32s 399ms/step - loss:0.0714 - acc:0.9995 - val_loss:0.3977 - val_acc:0.9326
Epoch 3350/5000
80/80 - 32s 399ms/step - loss:0.0711 - acc:0.9997 - val_loss:0.3976 - val_acc:0.9320
Epoch 3351/5000
80/80 - 32s 399ms/step - loss:0.0714 - acc:0.9994 - val_loss:0.3966 - val_acc:0.9317
Epoch 3352/5000
80/80 - 32s 399ms/step - loss:0.0713 - acc:0.9997 - val_loss:0.3937 - val_acc:0.9322
Epoch 3353/5000
80/80 - 32s 399ms/step - loss:0.0712 - acc:0.9996 - val_loss:0.3957 - val_acc:0.9322
Epoch 3354/5000
80/80 - 32s 399ms/step - loss:0.0714 - acc:0.9995 - val_loss:0.3993 - val_acc:0.9319
Epoch 3355/5000
80/80 - 32s 399ms/step - loss:0.0713 - acc:0.9996 - val_loss:0.4001 - val_acc:0.9321
Epoch 3356/5000
80/80 - 32s 399ms/step - loss:0.0714 - acc:0.9995 - val_loss:0.3990 - val_acc:0.9324
Epoch 3357/5000
80/80 - 32s 399ms/step - loss:0.0716 - acc:0.9994 - val_loss:0.3999 - val_acc:0.9316
Epoch 3358/5000
80/80 - 32s 400ms/step - loss:0.0712 - acc:0.9995 - val_loss:0.3994 - val_acc:0.9319
Epoch 3359/5000
80/80 - 32s 399ms/step - loss:0.0713 - acc:0.9996 - val_loss:0.3970 - val_acc:0.9313
Epoch 3360/5000
80/80 - 32s 399ms/step - loss:0.0711 - acc:0.9996 - val_loss:0.3946 - val_acc:0.9326
Epoch 3361/5000
80/80 - 32s 399ms/step - loss:0.0713 - acc:0.9996 - val_loss:0.3972 - val_acc:0.9316
Epoch 3362/5000
80/80 - 32s 400ms/step - loss:0.0712 - acc:0.9996 - val_loss:0.3973 - val_acc:0.9317
Epoch 3363/5000
80/80 - 32s 400ms/step - loss:0.0713 - acc:0.9995 - val_loss:0.3974 - val_acc:0.9316
Epoch 3364/5000
80/80 - 32s 399ms/step - loss:0.0710 - acc:0.9996 - val_loss:0.3992 - val_acc:0.9312
Epoch 3365/5000
80/80 - 32s 400ms/step - loss:0.0710 - acc:0.9997 - val_loss:0.3969 - val_acc:0.9318
Epoch 3366/5000
80/80 - 32s 399ms/step - loss:0.0713 - acc:0.9994 - val_loss:0.3955 - val_acc:0.9334
Epoch 3367/5000
80/80 - 32s 399ms/step - loss:0.0714 - acc:0.9994 - val_loss:0.3944 - val_acc:0.9318
Epoch 3368/5000
80/80 - 32s 400ms/step - loss:0.0713 - acc:0.9995 - val_loss:0.3958 - val_acc:0.9317
Epoch 3369/5000
80/80 - 32s 399ms/step - loss:0.0711 - acc:0.9995 - val_loss:0.3950 - val_acc:0.9314
Epoch 3370/5000
80/80 - 32s 399ms/step - loss:0.0712 - acc:0.9995 - val_loss:0.3958 - val_acc:0.9312
Epoch 3371/5000
80/80 - 32s 400ms/step - loss:0.0712 - acc:0.9996 - val_loss:0.3949 - val_acc:0.9326
Epoch 3372/5000
80/80 - 32s 399ms/step - loss:0.0711 - acc:0.9996 - val_loss:0.3947 - val_acc:0.9325
Epoch 3373/5000
80/80 - 32s 399ms/step - loss:0.0709 - acc:0.9995 - val_loss:0.3943 - val_acc:0.9330
Epoch 3374/5000
80/80 - 32s 399ms/step - loss:0.0711 - acc:0.9995 - val_loss:0.3951 - val_acc:0.9322
Epoch 3375/5000
80/80 - 32s 400ms/step - loss:0.0705 - acc:0.9997 - val_loss:0.3962 - val_acc:0.9320
Epoch 3376/5000
80/80 - 32s 399ms/step - loss:0.0707 - acc:0.9997 - val_loss:0.3958 - val_acc:0.9322
Epoch 3377/5000
80/80 - 32s 400ms/step - loss:0.0707 - acc:0.9997 - val_loss:0.3977 - val_acc:0.9318
Epoch 3378/5000
80/80 - 32s 400ms/step - loss:0.0708 - acc:0.9996 - val_loss:0.3971 - val_acc:0.9327
Epoch 3379/5000
80/80 - 32s 399ms/step - loss:0.0712 - acc:0.9995 - val_loss:0.3959 - val_acc:0.9330
Epoch 3380/5000
80/80 - 32s 399ms/step - loss:0.0709 - acc:0.9995 - val_loss:0.3970 - val_acc:0.9322
Epoch 3381/5000
80/80 - 32s 400ms/step - loss:0.0708 - acc:0.9995 - val_loss:0.3948 - val_acc:0.9316
Epoch 3382/5000
80/80 - 32s 400ms/step - loss:0.0707 - acc:0.9996 - val_loss:0.3929 - val_acc:0.9317
Epoch 3383/5000
80/80 - 32s 400ms/step - loss:0.0709 - acc:0.9995 - val_loss:0.3954 - val_acc:0.9327
Epoch 3384/5000
80/80 - 32s 400ms/step - loss:0.0705 - acc:0.9996 - val_loss:0.3946 - val_acc:0.9327
Epoch 3385/5000
80/80 - 32s 399ms/step - loss:0.0707 - acc:0.9996 - val_loss:0.3942 - val_acc:0.9329
Epoch 3386/5000
80/80 - 32s 400ms/step - loss:0.0707 - acc:0.9996 - val_loss:0.3927 - val_acc:0.9335
Epoch 3387/5000
80/80 - 32s 400ms/step - loss:0.0707 - acc:0.9996 - val_loss:0.3931 - val_acc:0.9332
Epoch 3388/5000
80/80 - 32s 399ms/step - loss:0.0707 - acc:0.9996 - val_loss:0.3936 - val_acc:0.9323
Epoch 3389/5000
80/80 - 32s 399ms/step - loss:0.0708 - acc:0.9995 - val_loss:0.3955 - val_acc:0.9327
Epoch 3390/5000
80/80 - 32s 399ms/step - loss:0.0707 - acc:0.9996 - val_loss:0.3969 - val_acc:0.9318
Epoch 3391/5000
80/80 - 32s 400ms/step - loss:0.0703 - acc:0.9997 - val_loss:0.3975 - val_acc:0.9320
Epoch 3392/5000
80/80 - 32s 399ms/step - loss:0.0705 - acc:0.9996 - val_loss:0.3981 - val_acc:0.9313
Epoch 3393/5000
80/80 - 32s 400ms/step - loss:0.0704 - acc:0.9997 - val_loss:0.3988 - val_acc:0.9322
Epoch 3394/5000
80/80 - 32s 399ms/step - loss:0.0705 - acc:0.9996 - val_loss:0.3967 - val_acc:0.9332
Epoch 3395/5000
80/80 - 32s 399ms/step - loss:0.0703 - acc:0.9997 - val_loss:0.3957 - val_acc:0.9318
Epoch 3396/5000
80/80 - 32s 400ms/step - loss:0.0710 - acc:0.9994 - val_loss:0.3979 - val_acc:0.9313
Epoch 3397/5000
80/80 - 32s 399ms/step - loss:0.0703 - acc:0.9996 - val_loss:0.3991 - val_acc:0.9310
Epoch 3398/5000
80/80 - 32s 399ms/step - loss:0.0703 - acc:0.9997 - val_loss:0.3992 - val_acc:0.9310
Epoch 3399/5000
80/80 - 32s 399ms/step - loss:0.0704 - acc:0.9995 - val_loss:0.3959 - val_acc:0.9312
Epoch 3400/5000
80/80 - 32s 400ms/step - loss:0.0706 - acc:0.9995 - val_loss:0.3943 - val_acc:0.9325
Epoch 3401/5000
80/80 - 32s 400ms/step - loss:0.0709 - acc:0.9995 - val_loss:0.3966 - val_acc:0.9338
Epoch 3402/5000
80/80 - 32s 400ms/step - loss:0.0703 - acc:0.9996 - val_loss:0.3976 - val_acc:0.9328
Epoch 3403/5000
80/80 - 32s 400ms/step - loss:0.0702 - acc:0.9996 - val_loss:0.3981 - val_acc:0.9328
Epoch 3404/5000
80/80 - 32s 400ms/step - loss:0.0706 - acc:0.9995 - val_loss:0.3988 - val_acc:0.9332
Epoch 3405/5000
80/80 - 32s 399ms/step - loss:0.0701 - acc:0.9997 - val_loss:0.3998 - val_acc:0.9319
Epoch 3406/5000
80/80 - 32s 399ms/step - loss:0.0701 - acc:0.9997 - val_loss:0.4000 - val_acc:0.9323
Epoch 3407/5000
80/80 - 32s 400ms/step - loss:0.0704 - acc:0.9996 - val_loss:0.3969 - val_acc:0.9326
Epoch 3408/5000
80/80 - 32s 400ms/step - loss:0.0703 - acc:0.9996 - val_loss:0.3961 - val_acc:0.9323
Epoch 3409/5000
80/80 - 32s 400ms/step - loss:0.0704 - acc:0.9995 - val_loss:0.3964 - val_acc:0.9321
Epoch 3410/5000
80/80 - 32s 399ms/step - loss:0.0703 - acc:0.9995 - val_loss:0.3988 - val_acc:0.9320
Epoch 3411/5000
80/80 - 32s 400ms/step - loss:0.0701 - acc:0.9997 - val_loss:0.3980 - val_acc:0.9319
Epoch 3412/5000
80/80 - 32s 399ms/step - loss:0.0703 - acc:0.9997 - val_loss:0.3987 - val_acc:0.9322
Epoch 3413/5000
80/80 - 32s 399ms/step - loss:0.0700 - acc:0.9996 - val_loss:0.4009 - val_acc:0.9313
Epoch 3414/5000
80/80 - 32s 399ms/step - loss:0.0700 - acc:0.9996 - val_loss:0.3986 - val_acc:0.9319
Epoch 3415/5000
80/80 - 32s 400ms/step - loss:0.0700 - acc:0.9996 - val_loss:0.3973 - val_acc:0.9322
Epoch 3416/5000
80/80 - 32s 400ms/step - loss:0.0706 - acc:0.9993 - val_loss:0.4007 - val_acc:0.9311
Epoch 3417/5000
80/80 - 32s 399ms/step - loss:0.0706 - acc:0.9994 - val_loss:0.3994 - val_acc:0.9317
Epoch 3418/5000
80/80 - 32s 399ms/step - loss:0.0701 - acc:0.9996 - val_loss:0.4001 - val_acc:0.9314
Epoch 3419/5000
80/80 - 32s 399ms/step - loss:0.0708 - acc:0.9993 - val_loss:0.3999 - val_acc:0.9317
Epoch 3420/5000
80/80 - 32s 400ms/step - loss:0.0699 - acc:0.9997 - val_loss:0.4001 - val_acc:0.9316
Epoch 3421/5000
80/80 - 32s 400ms/step - loss:0.0702 - acc:0.9995 - val_loss:0.3982 - val_acc:0.9325
Epoch 3422/5000
80/80 - 32s 400ms/step - loss:0.0701 - acc:0.9995 - val_loss:0.4003 - val_acc:0.9318
Epoch 3423/5000
80/80 - 32s 400ms/step - loss:0.0696 - acc:0.9998 - val_loss:0.4021 - val_acc:0.9305
Epoch 3424/5000
80/80 - 32s 403ms/step - loss:0.0703 - acc:0.9994 - val_loss:0.4006 - val_acc:0.9317
Epoch 3425/5000
80/80 - 32s 400ms/step - loss:0.0698 - acc:0.9997 - val_loss:0.4007 - val_acc:0.9308
Epoch 3426/5000
80/80 - 32s 400ms/step - loss:0.0703 - acc:0.9995 - val_loss:0.4008 - val_acc:0.9299
Epoch 3427/5000
80/80 - 32s 401ms/step - loss:0.0702 - acc:0.9995 - val_loss:0.4019 - val_acc:0.9294
Epoch 3428/5000
80/80 - 32s 401ms/step - loss:0.0698 - acc:0.9996 - val_loss:0.4024 - val_acc:0.9302
Epoch 3429/5000
80/80 - 32s 400ms/step - loss:0.0698 - acc:0.9997 - val_loss:0.4017 - val_acc:0.9299
Epoch 3430/5000
80/80 - 32s 401ms/step - loss:0.0700 - acc:0.9994 - val_loss:0.4009 - val_acc:0.9306
Epoch 3431/5000
80/80 - 32s 400ms/step - loss:0.0702 - acc:0.9995 - val_loss:0.4020 - val_acc:0.9302
Epoch 3432/5000
80/80 - 32s 400ms/step - loss:0.0703 - acc:0.9994 - val_loss:0.4034 - val_acc:0.9303
Epoch 3433/5000
80/80 - 32s 401ms/step - loss:0.0702 - acc:0.9994 - val_loss:0.4021 - val_acc:0.9306
Epoch 3434/5000
80/80 - 32s 401ms/step - loss:0.0697 - acc:0.9997 - val_loss:0.4023 - val_acc:0.9302
Epoch 3435/5000
80/80 - 32s 400ms/step - loss:0.0697 - acc:0.9997 - val_loss:0.4026 - val_acc:0.9296
Epoch 3436/5000
80/80 - 32s 400ms/step - loss:0.0698 - acc:0.9996 - val_loss:0.4043 - val_acc:0.9298
Epoch 3437/5000
80/80 - 32s 399ms/step - loss:0.0701 - acc:0.9995 - val_loss:0.4036 - val_acc:0.9303
Epoch 3438/5000
80/80 - 32s 400ms/step - loss:0.0698 - acc:0.9996 - val_loss:0.3998 - val_acc:0.9309
Epoch 3439/5000
80/80 - 32s 400ms/step - loss:0.0696 - acc:0.9997 - val_loss:0.3988 - val_acc:0.9309
Epoch 3440/5000
80/80 - 32s 400ms/step - loss:0.0696 - acc:0.9996 - val_loss:0.3968 - val_acc:0.9311
Epoch 3441/5000
80/80 - 32s 399ms/step - loss:0.0697 - acc:0.9996 - val_loss:0.3941 - val_acc:0.9320
Epoch 3442/5000
80/80 - 32s 400ms/step - loss:0.0697 - acc:0.9995 - val_loss:0.3948 - val_acc:0.9320
Epoch 3443/5000
80/80 - 32s 400ms/step - loss:0.0692 - acc:0.9998 - val_loss:0.3951 - val_acc:0.9316
Epoch 3444/5000
80/80 - 32s 400ms/step - loss:0.0696 - acc:0.9996 - val_loss:0.3981 - val_acc:0.9318
Epoch 3445/5000
80/80 - 32s 400ms/step - loss:0.0694 - acc:0.9997 - val_loss:0.3987 - val_acc:0.9318
Epoch 3446/5000
80/80 - 32s 403ms/step - loss:0.0696 - acc:0.9995 - val_loss:0.3972 - val_acc:0.9326
Epoch 3447/5000
80/80 - 32s 400ms/step - loss:0.0701 - acc:0.9995 - val_loss:0.3980 - val_acc:0.9312
Epoch 3448/5000
80/80 - 32s 399ms/step - loss:0.0694 - acc:0.9996 - val_loss:0.3962 - val_acc:0.9320
Epoch 3449/5000
80/80 - 32s 399ms/step - loss:0.0695 - acc:0.9996 - val_loss:0.3975 - val_acc:0.9312
Epoch 3450/5000
80/80 - 32s 399ms/step - loss:0.0694 - acc:0.9996 - val_loss:0.3970 - val_acc:0.9312
Epoch 3451/5000
80/80 - 32s 399ms/step - loss:0.0691 - acc:0.9997 - val_loss:0.3978 - val_acc:0.9321
Epoch 3452/5000
80/80 - 32s 399ms/step - loss:0.0696 - acc:0.9995 - val_loss:0.3989 - val_acc:0.9312
Epoch 3453/5000
80/80 - 32s 399ms/step - loss:0.0694 - acc:0.9996 - val_loss:0.3965 - val_acc:0.9318
Epoch 3454/5000
80/80 - 32s 399ms/step - loss:0.0695 - acc:0.9996 - val_loss:0.3975 - val_acc:0.9325
Epoch 3455/5000
80/80 - 32s 399ms/step - loss:0.0695 - acc:0.9996 - val_loss:0.3956 - val_acc:0.9324
Epoch 3456/5000
80/80 - 32s 399ms/step - loss:0.0694 - acc:0.9995 - val_loss:0.3971 - val_acc:0.9317
Epoch 3457/5000
80/80 - 32s 399ms/step - loss:0.0691 - acc:0.9997 - val_loss:0.4000 - val_acc:0.9310
Epoch 3458/5000
80/80 - 32s 399ms/step - loss:0.0692 - acc:0.9997 - val_loss:0.4000 - val_acc:0.9306
Epoch 3459/5000
80/80 - 32s 400ms/step - loss:0.0692 - acc:0.9996 - val_loss:0.3998 - val_acc:0.9308
Epoch 3460/5000
80/80 - 32s 399ms/step - loss:0.0697 - acc:0.9995 - val_loss:0.4010 - val_acc:0.9305
Epoch 3461/5000
80/80 - 32s 399ms/step - loss:0.0695 - acc:0.9996 - val_loss:0.4010 - val_acc:0.9315
Epoch 3462/5000
80/80 - 32s 399ms/step - loss:0.0690 - acc:0.9997 - val_loss:0.4004 - val_acc:0.9311
Epoch 3463/5000
80/80 - 32s 400ms/step - loss:0.0698 - acc:0.9995 - val_loss:0.4018 - val_acc:0.9298
Epoch 3464/5000
80/80 - 32s 399ms/step - loss:0.0692 - acc:0.9997 - val_loss:0.4016 - val_acc:0.9311
Epoch 3465/5000
80/80 - 32s 400ms/step - loss:0.0689 - acc:0.9996 - val_loss:0.4037 - val_acc:0.9309
Epoch 3466/5000
80/80 - 32s 400ms/step - loss:0.0694 - acc:0.9995 - val_loss:0.4020 - val_acc:0.9313
Epoch 3467/5000
80/80 - 32s 400ms/step - loss:0.0691 - acc:0.9996 - val_loss:0.4016 - val_acc:0.9314
Epoch 3468/5000
80/80 - 32s 400ms/step - loss:0.0692 - acc:0.9996 - val_loss:0.4034 - val_acc:0.9307
Epoch 3469/5000
80/80 - 32s 400ms/step - loss:0.0693 - acc:0.9996 - val_loss:0.4013 - val_acc:0.9309
Epoch 3470/5000
80/80 - 32s 399ms/step - loss:0.0695 - acc:0.9994 - val_loss:0.3997 - val_acc:0.9326
Epoch 3471/5000
80/80 - 32s 399ms/step - loss:0.0693 - acc:0.9996 - val_loss:0.3991 - val_acc:0.9320
Epoch 3472/5000
80/80 - 32s 399ms/step - loss:0.0690 - acc:0.9997 - val_loss:0.3995 - val_acc:0.9321
Epoch 3473/5000
80/80 - 32s 400ms/step - loss:0.0694 - acc:0.9995 - val_loss:0.3990 - val_acc:0.9310
Epoch 3474/5000
80/80 - 32s 399ms/step - loss:0.0695 - acc:0.9995 - val_loss:0.3964 - val_acc:0.9320
Epoch 3475/5000
80/80 - 32s 399ms/step - loss:0.0692 - acc:0.9996 - val_loss:0.3959 - val_acc:0.9320
Epoch 3476/5000
80/80 - 32s 400ms/step - loss:0.0692 - acc:0.9995 - val_loss:0.3968 - val_acc:0.9316
Epoch 3477/5000
80/80 - 32s 399ms/step - loss:0.0690 - acc:0.9996 - val_loss:0.3976 - val_acc:0.9307
Epoch 3478/5000
80/80 - 32s 399ms/step - loss:0.0689 - acc:0.9996 - val_loss:0.3990 - val_acc:0.9314
Epoch 3479/5000
80/80 - 32s 401ms/step - loss:0.0692 - acc:0.9995 - val_loss:0.3991 - val_acc:0.9303
Epoch 3480/5000
80/80 - 32s 401ms/step - loss:0.0690 - acc:0.9994 - val_loss:0.4010 - val_acc:0.9303
Epoch 3481/5000
80/80 - 32s 403ms/step - loss:0.0689 - acc:0.9995 - val_loss:0.4028 - val_acc:0.9305
Epoch 3482/5000
80/80 - 32s 401ms/step - loss:0.0689 - acc:0.9996 - val_loss:0.4030 - val_acc:0.9295
Epoch 3483/5000
80/80 - 32s 400ms/step - loss:0.0694 - acc:0.9995 - val_loss:0.4027 - val_acc:0.9311
Epoch 3484/5000
80/80 - 32s 399ms/step - loss:0.0690 - acc:0.9996 - val_loss:0.4002 - val_acc:0.9316
Epoch 3485/5000
80/80 - 32s 402ms/step - loss:0.0684 - acc:0.9999 - val_loss:0.3992 - val_acc:0.9321
Epoch 3486/5000
80/80 - 32s 406ms/step - loss:0.0690 - acc:0.9997 - val_loss:0.3999 - val_acc:0.9318
Epoch 3487/5000
80/80 - 32s 399ms/step - loss:0.0686 - acc:0.9997 - val_loss:0.4016 - val_acc:0.9309
Epoch 3488/5000
80/80 - 32s 399ms/step - loss:0.0690 - acc:0.9996 - val_loss:0.4020 - val_acc:0.9308
Epoch 3489/5000
80/80 - 32s 399ms/step - loss:0.0688 - acc:0.9996 - val_loss:0.4028 - val_acc:0.9317
Epoch 3490/5000
80/80 - 32s 399ms/step - loss:0.0688 - acc:0.9996 - val_loss:0.4028 - val_acc:0.9315
Epoch 3491/5000
80/80 - 32s 399ms/step - loss:0.0691 - acc:0.9995 - val_loss:0.4039 - val_acc:0.9304
Epoch 3492/5000
80/80 - 32s 400ms/step - loss:0.0691 - acc:0.9995 - val_loss:0.4039 - val_acc:0.9293
Epoch 3493/5000
80/80 - 32s 399ms/step - loss:0.0690 - acc:0.9996 - val_loss:0.4023 - val_acc:0.9307
Epoch 3494/5000
80/80 - 32s 400ms/step - loss:0.0685 - acc:0.9997 - val_loss:0.4025 - val_acc:0.9304
Epoch 3495/5000
80/80 - 32s 401ms/step - loss:0.0689 - acc:0.9995 - val_loss:0.4058 - val_acc:0.9295
Epoch 3496/5000
80/80 - 32s 402ms/step - loss:0.0684 - acc:0.9997 - val_loss:0.4029 - val_acc:0.9308
Epoch 3497/5000
80/80 - 32s 400ms/step - loss:0.0684 - acc:0.9997 - val_loss:0.4028 - val_acc:0.9298
Epoch 3498/5000
80/80 - 32s 401ms/step - loss:0.0687 - acc:0.9996 - val_loss:0.3992 - val_acc:0.9319
Epoch 3499/5000
80/80 - 32s 401ms/step - loss:0.0685 - acc:0.9997 - val_loss:0.3977 - val_acc:0.9312
Epoch 3500/5000
80/80 - 32s 400ms/step - loss:0.0685 - acc:0.9995 - val_loss:0.3981 - val_acc:0.9313
Epoch 3501/5000
80/80 - 32s 400ms/step - loss:0.0688 - acc:0.9995 - val_loss:0.4005 - val_acc:0.9320
Epoch 3502/5000
80/80 - 32s 400ms/step - loss:0.0682 - acc:0.9998 - val_loss:0.3992 - val_acc:0.9312
Epoch 3503/5000
80/80 - 32s 400ms/step - loss:0.0684 - acc:0.9996 - val_loss:0.3993 - val_acc:0.9306
Epoch 3504/5000
80/80 - 32s 400ms/step - loss:0.0687 - acc:0.9995 - val_loss:0.4003 - val_acc:0.9306
Epoch 3505/5000
80/80 - 32s 401ms/step - loss:0.0685 - acc:0.9997 - val_loss:0.4017 - val_acc:0.9301
Epoch 3506/5000
80/80 - 32s 401ms/step - loss:0.0682 - acc:0.9997 - val_loss:0.4053 - val_acc:0.9299
Epoch 3507/5000
80/80 - 32s 401ms/step - loss:0.0682 - acc:0.9997 - val_loss:0.4047 - val_acc:0.9301
Epoch 3508/5000
80/80 - 32s 400ms/step - loss:0.0689 - acc:0.9994 - val_loss:0.4059 - val_acc:0.9289
Epoch 3509/5000
80/80 - 32s 402ms/step - loss:0.0687 - acc:0.9995 - val_loss:0.4074 - val_acc:0.9289
Epoch 3510/5000
80/80 - 32s 402ms/step - loss:0.0686 - acc:0.9995 - val_loss:0.4042 - val_acc:0.9301
Epoch 3511/5000
80/80 - 32s 400ms/step - loss:0.0685 - acc:0.9995 - val_loss:0.4029 - val_acc:0.9308
Epoch 3512/5000
80/80 - 32s 401ms/step - loss:0.0687 - acc:0.9996 - val_loss:0.4020 - val_acc:0.9301
Epoch 3513/5000
80/80 - 32s 398ms/step - loss:0.0682 - acc:0.9997 - val_loss:0.3987 - val_acc:0.9305
Epoch 3514/5000
80/80 - 32s 400ms/step - loss:0.0683 - acc:0.9996 - val_loss:0.3991 - val_acc:0.9302
Epoch 3515/5000
80/80 - 32s 399ms/step - loss:0.0688 - acc:0.9996 - val_loss:0.3989 - val_acc:0.9307
Epoch 3516/5000
80/80 - 32s 398ms/step - loss:0.0687 - acc:0.9995 - val_loss:0.4004 - val_acc:0.9313
Epoch 3517/5000
80/80 - 32s 400ms/step - loss:0.0681 - acc:0.9996 - val_loss:0.3996 - val_acc:0.9313
Epoch 3518/5000
80/80 - 32s 399ms/step - loss:0.0683 - acc:0.9997 - val_loss:0.4004 - val_acc:0.9308
Epoch 3519/5000
80/80 - 32s 399ms/step - loss:0.0686 - acc:0.9995 - val_loss:0.4002 - val_acc:0.9306
Epoch 3520/5000
80/80 - 32s 400ms/step - loss:0.0687 - acc:0.9995 - val_loss:0.4007 - val_acc:0.9310
Epoch 3521/5000
80/80 - 32s 400ms/step - loss:0.0684 - acc:0.9996 - val_loss:0.4021 - val_acc:0.9318
Epoch 3522/5000
80/80 - 32s 399ms/step - loss:0.0683 - acc:0.9996 - val_loss:0.4033 - val_acc:0.9320
Epoch 3523/5000
80/80 - 32s 400ms/step - loss:0.0681 - acc:0.9997 - val_loss:0.4064 - val_acc:0.9316
Epoch 3524/5000
80/80 - 34s 424ms/step - loss:0.0681 - acc:0.9996 - val_loss:0.4061 - val_acc:0.9309
Epoch 3525/5000
80/80 - 32s 398ms/step - loss:0.0680 - acc:0.9997 - val_loss:0.4032 - val_acc:0.9310
Epoch 3526/5000
80/80 - 32s 397ms/step - loss:0.0681 - acc:0.9995 - val_loss:0.4033 - val_acc:0.9317
Epoch 3527/5000
80/80 - 32s 398ms/step - loss:0.0681 - acc:0.9995 - val_loss:0.4034 - val_acc:0.9317
Epoch 3528/5000
80/80 - 32s 398ms/step - loss:0.0681 - acc:0.9996 - val_loss:0.4021 - val_acc:0.9317
Epoch 3529/5000
80/80 - 32s 398ms/step - loss:0.0682 - acc:0.9996 - val_loss:0.4032 - val_acc:0.9317
Epoch 3530/5000
80/80 - 32s 398ms/step - loss:0.0678 - acc:0.9997 - val_loss:0.4026 - val_acc:0.9316
Epoch 3531/5000
80/80 - 32s 398ms/step - loss:0.0679 - acc:0.9996 - val_loss:0.4000 - val_acc:0.9312
Epoch 3532/5000
80/80 - 32s 398ms/step - loss:0.0682 - acc:0.9995 - val_loss:0.4004 - val_acc:0.9325
Epoch 3533/5000
80/80 - 32s 398ms/step - loss:0.0683 - acc:0.9996 - val_loss:0.4012 - val_acc:0.9320
Epoch 3534/5000
80/80 - 32s 398ms/step - loss:0.0681 - acc:0.9996 - val_loss:0.4006 - val_acc:0.9320
Epoch 3535/5000
80/80 - 32s 398ms/step - loss:0.0678 - acc:0.9996 - val_loss:0.4026 - val_acc:0.9308
Epoch 3536/5000
80/80 - 32s 398ms/step - loss:0.0675 - acc:0.9997 - val_loss:0.4037 - val_acc:0.9306
Epoch 3537/5000
80/80 - 32s 398ms/step - loss:0.0683 - acc:0.9995 - val_loss:0.4056 - val_acc:0.9296
Epoch 3538/5000
80/80 - 32s 398ms/step - loss:0.0684 - acc:0.9995 - val_loss:0.4053 - val_acc:0.9313
Epoch 3539/5000
80/80 - 32s 400ms/step - loss:0.0682 - acc:0.9995 - val_loss:0.4037 - val_acc:0.9305
Epoch 3540/5000
15/80 [====>.........................]- ETA:24s - loss:0.0678 - acc:0.9997Traceback(most recent call last):

没跑完就把程序给中断了。训练准确率已经接近100%,测试准确率一直在93%波动,似乎已经进入过拟合阶段了,再继续训练也没什么用处。

怎么抑制过拟合呢?数据增强已经用了很多种方式了,下一步减小网络规模?

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, Date of Publication: 13 February 2020

https://ieeexplore.ieee.org/d...