深度残差网络+自适应参数化ReLU激活函数(调参记录12)

本文在调参记录10的基础上,在数据增强部分添加了zoom_range = 0.2,将训练迭代次数增加到5000个epoch,批量大小改成了625,测试Adaptively Parametric ReLU(APReLU)激活函数在Cifar10图像集上的效果。

Adaptively Parametric ReLU(APReLU)激活函数的原理如下:

深度残差网络+自适应参数化ReLU激活函数(调参记录12)

Keras程序:

  1 #!/usr/bin/env python3
  2 # -*- coding: utf-8 -*-
  3 """
  4 Created on Tue Apr 14 04:17:45 2020
  5 Implemented using TensorFlow 1.0.1 and Keras 2.2.1
  6 
  7 Minghang Zhao, Shisheng Zhong, Xuyun Fu, Baoping Tang, Shaojiang Dong, Michael Pecht,
  8 Deep Residual Networks with Adaptively Parametric Rectifier Linear Units for Fault Diagnosis, 
  9 IEEE Transactions on Industrial Electronics, 2020, DOI: 10.1109/TIE.2020.2972458 
 10 
 11 @author: Minghang Zhao
 12 """
 13 
 14 from __future__ import print_function
 15 import keras
 16 import numpy as np
 17 from keras.datasets import cifar10
 18 from keras.layers import Dense, Conv2D, BatchNormalization, Activation, Minimum
 19 from keras.layers import AveragePooling2D, Input, GlobalAveragePooling2D, Concatenate, Reshape
 20 from keras.regularizers import l2
 21 from keras import backend as K
 22 from keras.models import Model
 23 from keras import optimizers
 24 from keras.preprocessing.image import ImageDataGenerator
 25 from keras.callbacks import LearningRateScheduler
 26 K.set_learning_phase(1)
 27 
 28 # The data, split between train and test sets
 29 (x_train, y_train), (x_test, y_test) = cifar10.load_data()
 30 
 31 # Noised data
 32 x_train = x_train.astype('float32') / 255.
 33 x_test = x_test.astype('float32') / 255.
 34 x_test = x_test-np.mean(x_train)
 35 x_train = x_train-np.mean(x_train)
 36 print('x_train shape:', x_train.shape)
 37 print(x_train.shape[0], 'train samples')
 38 print(x_test.shape[0], 'test samples')
 39 
 40 # convert class vectors to binary class matrices
 41 y_train = keras.utils.to_categorical(y_train, 10)
 42 y_test = keras.utils.to_categorical(y_test, 10)
 43 
 44 # Schedule the learning rate, multiply 0.1 every 1500 epoches
 45 def scheduler(epoch):
 46   if epoch % 1500 == 0 and epoch != 0:
 47     lr = K.get_value(model.optimizer.lr)
 48     K.set_value(model.optimizer.lr, lr * 0.1)
 49     print("lr changed to {}".format(lr * 0.1))
 50   return K.get_value(model.optimizer.lr)
 51 
 52 # An adaptively parametric rectifier linear unit (APReLU)
 53 def aprelu(inputs):
 54   # get the number of channels
 55   channels = inputs.get_shape().as_list()[-1]
 56   # get a zero feature map
 57   zeros_input = keras.layers.subtract([inputs, inputs])
 58   # get a feature map with only positive features
 59   pos_input = Activation('relu')(inputs)
 60   # get a feature map with only negative features
 61   neg_input = Minimum()([inputs,zeros_input])
 62   # define a network to obtain the scaling coefficients
 63   scales_p = GlobalAveragePooling2D()(pos_input)
 64   scales_n = GlobalAveragePooling2D()(neg_input)
 65   scales = Concatenate()([scales_n, scales_p])
 66   scales = Dense(channels, activation='linear', kernel_initializer='he_normal', kernel_regularizer=l2(1e-4))(scales)
 67   scales = BatchNormalization(momentum=0.9, gamma_regularizer=l2(1e-4))(scales)
 68   scales = Activation('relu')(scales)
 69   scales = Dense(channels, activation='linear', kernel_initializer='he_normal', kernel_regularizer=l2(1e-4))(scales)
 70   scales = BatchNormalization(momentum=0.9, gamma_regularizer=l2(1e-4))(scales)
 71   scales = Activation('sigmoid')(scales)
 72   scales = Reshape((1,1,channels))(scales)
 73   # apply a paramtetric relu
 74   neg_part = keras.layers.multiply([scales, neg_input])
 75   return keras.layers.add([pos_input, neg_part])
 76 
 77 # Residual Block
 78 def residual_block(incoming, nb_blocks, out_channels, downsample=False,
 79           downsample_strides=2):
 80   
 81   residual = incoming
 82   in_channels = incoming.get_shape().as_list()[-1]
 83   
 84   for i in range(nb_blocks):
 85     
 86     identity = residual
 87     
 88     if not downsample:
 89       downsample_strides = 1
 90     
 91     residual = BatchNormalization(momentum=0.9, gamma_regularizer=l2(1e-4))(residual)
 92     residual = aprelu(residual)
 93     residual = Conv2D(out_channels, 3, strides=(downsample_strides, downsample_strides), 
 94              padding='same', kernel_initializer='he_normal', 
 95              kernel_regularizer=l2(1e-4))(residual)
 96     
 97     residual = BatchNormalization(momentum=0.9, gamma_regularizer=l2(1e-4))(residual)
 98     residual = aprelu(residual)
 99     residual = Conv2D(out_channels, 3, padding='same', kernel_initializer='he_normal', 
100              kernel_regularizer=l2(1e-4))(residual)
101     
102     # Downsampling
103     if downsample_strides > 1:
104       identity = AveragePooling2D(pool_size=(1,1), strides=(2,2))(identity)
105       
106     # Zero_padding to match channels
107     if in_channels != out_channels:
108       zeros_identity = keras.layers.subtract([identity, identity])
109       identity = keras.layers.concatenate([identity, zeros_identity])
110       in_channels = out_channels
111     
112     residual = keras.layers.add([residual, identity])
113   
114   return residual
115 
116 
117 # define and train a model
118 inputs = Input(shape=(32, 32, 3))
119 net = Conv2D(16, 3, padding='same', kernel_initializer='he_normal', kernel_regularizer=l2(1e-4))(inputs)
120 net = residual_block(net, 9, 16, downsample=False)
121 net = residual_block(net, 1, 32, downsample=True)
122 net = residual_block(net, 8, 32, downsample=False)
123 net = residual_block(net, 1, 64, downsample=True)
124 net = residual_block(net, 8, 64, downsample=False)
125 net = BatchNormalization(momentum=0.9, gamma_regularizer=l2(1e-4))(net)
126 net = Activation('relu')(net)
127 net = GlobalAveragePooling2D()(net)
128 outputs = Dense(10, activation='softmax', kernel_initializer='he_normal', kernel_regularizer=l2(1e-4))(net)
129 model = Model(inputs=inputs, outputs=outputs)
130 sgd = optimizers.SGD(lr=0.1, decay=0., momentum=0.9, nesterov=True)
131 model.compile(loss='categorical_crossentropy', optimizer=sgd, metrics=['accuracy'])
132 
133 # data augmentation
134 datagen = ImageDataGenerator(
135   # randomly rotate images in the range (deg 0 to 180)
136   rotation_range=30,
137   # Range for random zoom
138   zoom_range = 0.2,
139   # shear angle in counter-clockwise direction in degrees
140   shear_range = 30,
141   # randomly flip images
142   horizontal_flip=True,
143   # randomly shift images horizontally
144   width_shift_range=0.125,
145   # randomly shift images vertically
146   height_shift_range=0.125)
147 
148 reduce_lr = LearningRateScheduler(scheduler)
149 # fit the model on the batches generated by datagen.flow().
150 model.fit_generator(datagen.flow(x_train, y_train, batch_size=625),
151           validation_data=(x_test, y_test), epochs=5000, 
152           verbose=1, callbacks=[reduce_lr], workers=10)
153 
154 # get results
155 K.set_learning_phase(0)
156 DRSN_train_score = model.evaluate(x_train, y_train, batch_size=625, verbose=0)
157 print('Train loss:', DRSN_train_score[0])
158 print('Train accuracy:', DRSN_train_score[1])
159 DRSN_test_score = model.evaluate(x_test, y_test, batch_size=625, verbose=0)
160 print('Test loss:', DRSN_test_score[0])
161 print('Test accuracy:', DRSN_test_score[1])

实验结果:

   1 Epoch 2500/5000
   2 80/80 - 32s 399ms/step - loss: 0.0996 - acc: 0.9930 - val_loss: 0.4074 - val_acc: 0.9203
   3 Epoch 2501/5000
   4 80/80 - 32s 399ms/step - loss: 0.0986 - acc: 0.9937 - val_loss: 0.3996 - val_acc: 0.9202
   5 Epoch 2502/5000
   6 80/80 - 32s 399ms/step - loss: 0.0980 - acc: 0.9933 - val_loss: 0.3950 - val_acc: 0.9236
   7 Epoch 2503/5000
   8 80/80 - 32s 400ms/step - loss: 0.0997 - acc: 0.9928 - val_loss: 0.4173 - val_acc: 0.9190
   9 Epoch 2504/5000
  10 80/80 - 32s 400ms/step - loss: 0.1003 - acc: 0.9927 - val_loss: 0.4020 - val_acc: 0.9210
  11 Epoch 2505/5000
  12 80/80 - 32s 400ms/step - loss: 0.0983 - acc: 0.9935 - val_loss: 0.4114 - val_acc: 0.9209
  13 Epoch 2506/5000
  14 80/80 - 32s 400ms/step - loss: 0.0992 - acc: 0.9929 - val_loss: 0.4048 - val_acc: 0.9212
  15 Epoch 2507/5000
  16 80/80 - 32s 400ms/step - loss: 0.0991 - acc: 0.9935 - val_loss: 0.4153 - val_acc: 0.9205
  17 Epoch 2508/5000
  18 80/80 - 32s 400ms/step - loss: 0.0982 - acc: 0.9939 - val_loss: 0.4106 - val_acc: 0.9202
  19 Epoch 2509/5000
  20 80/80 - 32s 400ms/step - loss: 0.0978 - acc: 0.9937 - val_loss: 0.4142 - val_acc: 0.9214
  21 Epoch 2510/5000
  22 80/80 - 32s 400ms/step - loss: 0.0986 - acc: 0.9932 - val_loss: 0.4161 - val_acc: 0.9208
  23 Epoch 2511/5000
  24 80/80 - 32s 400ms/step - loss: 0.0996 - acc: 0.9931 - val_loss: 0.4168 - val_acc: 0.9213
  25 Epoch 2512/5000
  26 80/80 - 32s 401ms/step - loss: 0.0993 - acc: 0.9933 - val_loss: 0.4125 - val_acc: 0.9202
  27 Epoch 2513/5000
  28 80/80 - 32s 400ms/step - loss: 0.0991 - acc: 0.9932 - val_loss: 0.4072 - val_acc: 0.9203
  29 Epoch 2514/5000
  30 80/80 - 32s 399ms/step - loss: 0.0989 - acc: 0.9930 - val_loss: 0.4077 - val_acc: 0.9190
  31 Epoch 2515/5000
  32 80/80 - 32s 400ms/step - loss: 0.0983 - acc: 0.9933 - val_loss: 0.4031 - val_acc: 0.9212
  33 Epoch 2516/5000
  34 80/80 - 32s 400ms/step - loss: 0.0995 - acc: 0.9927 - val_loss: 0.4060 - val_acc: 0.9219
  35 Epoch 2517/5000
  36 80/80 - 32s 400ms/step - loss: 0.0975 - acc: 0.9933 - val_loss: 0.3955 - val_acc: 0.9247
  37 Epoch 2518/5000
  38 80/80 - 32s 400ms/step - loss: 0.0998 - acc: 0.9931 - val_loss: 0.4099 - val_acc: 0.9195
  39 Epoch 2519/5000
  40 80/80 - 32s 400ms/step - loss: 0.1007 - acc: 0.9924 - val_loss: 0.4077 - val_acc: 0.9195
  41 Epoch 2520/5000
  42 80/80 - 32s 399ms/step - loss: 0.0981 - acc: 0.9930 - val_loss: 0.4108 - val_acc: 0.9205
  43 Epoch 2521/5000
  44 80/80 - 32s 400ms/step - loss: 0.0997 - acc: 0.9931 - val_loss: 0.4017 - val_acc: 0.9233
  45 Epoch 2522/5000
  46 80/80 - 32s 399ms/step - loss: 0.0988 - acc: 0.9933 - val_loss: 0.4079 - val_acc: 0.9202
  47 Epoch 2523/5000
  48 80/80 - 32s 400ms/step - loss: 0.0989 - acc: 0.9932 - val_loss: 0.4085 - val_acc: 0.9224
  49 Epoch 2524/5000
  50 80/80 - 32s 399ms/step - loss: 0.0999 - acc: 0.9931 - val_loss: 0.4265 - val_acc: 0.9156
  51 Epoch 2525/5000
  52 80/80 - 32s 399ms/step - loss: 0.0991 - acc: 0.9928 - val_loss: 0.4078 - val_acc: 0.9198
  53 Epoch 2526/5000
  54 80/80 - 32s 400ms/step - loss: 0.0993 - acc: 0.9929 - val_loss: 0.4057 - val_acc: 0.9213
  55 Epoch 2527/5000
  56 80/80 - 32s 400ms/step - loss: 0.1016 - acc: 0.9925 - val_loss: 0.3981 - val_acc: 0.9214
  57 Epoch 2528/5000
  58 80/80 - 32s 399ms/step - loss: 0.1004 - acc: 0.9925 - val_loss: 0.4142 - val_acc: 0.9188
  59 Epoch 2529/5000
  60 80/80 - 32s 400ms/step - loss: 0.0980 - acc: 0.9938 - val_loss: 0.3881 - val_acc: 0.9244
  61 Epoch 2530/5000
  62 80/80 - 32s 399ms/step - loss: 0.0970 - acc: 0.9938 - val_loss: 0.4089 - val_acc: 0.9218
  63 Epoch 2531/5000
  64 80/80 - 32s 399ms/step - loss: 0.0982 - acc: 0.9935 - val_loss: 0.4139 - val_acc: 0.9185
  65 Epoch 2532/5000
  66 80/80 - 32s 400ms/step - loss: 0.1003 - acc: 0.9927 - val_loss: 0.3969 - val_acc: 0.9206
  67 Epoch 2533/5000
  68 80/80 - 32s 400ms/step - loss: 0.0994 - acc: 0.9927 - val_loss: 0.4123 - val_acc: 0.9180
  69 Epoch 2534/5000
  70 80/80 - 32s 399ms/step - loss: 0.0993 - acc: 0.9929 - val_loss: 0.4002 - val_acc: 0.9226
  71 Epoch 2535/5000
  72 80/80 - 32s 399ms/step - loss: 0.0957 - acc: 0.9943 - val_loss: 0.4116 - val_acc: 0.9192
  73 Epoch 2536/5000
  74 80/80 - 32s 399ms/step - loss: 0.0985 - acc: 0.9933 - val_loss: 0.4214 - val_acc: 0.9164
  75 Epoch 2537/5000
  76 80/80 - 32s 399ms/step - loss: 0.0967 - acc: 0.9940 - val_loss: 0.4219 - val_acc: 0.9163
  77 Epoch 2538/5000
  78 80/80 - 32s 400ms/step - loss: 0.0963 - acc: 0.9940 - val_loss: 0.4312 - val_acc: 0.9154
  79 Epoch 2539/5000
  80 80/80 - 32s 399ms/step - loss: 0.0959 - acc: 0.9943 - val_loss: 0.4308 - val_acc: 0.9166
  81 Epoch 2540/5000
  82 80/80 - 32s 400ms/step - loss: 0.0983 - acc: 0.9933 - val_loss: 0.4163 - val_acc: 0.9174
  83 Epoch 2541/5000
  84 80/80 - 32s 400ms/step - loss: 0.0973 - acc: 0.9935 - val_loss: 0.4336 - val_acc: 0.9172
  85 Epoch 2542/5000
  86 80/80 - 32s 400ms/step - loss: 0.0987 - acc: 0.9936 - val_loss: 0.4197 - val_acc: 0.9201
  87 Epoch 2543/5000
  88 80/80 - 32s 400ms/step - loss: 0.1006 - acc: 0.9925 - val_loss: 0.4098 - val_acc: 0.9219
  89 Epoch 2544/5000
  90 80/80 - 32s 400ms/step - loss: 0.0985 - acc: 0.9931 - val_loss: 0.4044 - val_acc: 0.9214
  91 Epoch 2545/5000
  92 80/80 - 32s 399ms/step - loss: 0.0997 - acc: 0.9929 - val_loss: 0.3958 - val_acc: 0.9251
  93 Epoch 2546/5000
  94 80/80 - 32s 400ms/step - loss: 0.0980 - acc: 0.9936 - val_loss: 0.3987 - val_acc: 0.9220
  95 Epoch 2547/5000
  96 80/80 - 32s 399ms/step - loss: 0.0985 - acc: 0.9930 - val_loss: 0.4155 - val_acc: 0.9144
  97 Epoch 2548/5000
  98 80/80 - 32s 399ms/step - loss: 0.0987 - acc: 0.9929 - val_loss: 0.4052 - val_acc: 0.9216
  99 Epoch 2549/5000
 100 80/80 - 32s 399ms/step - loss: 0.0961 - acc: 0.9943 - val_loss: 0.4019 - val_acc: 0.9248
 101 Epoch 2550/5000
 102 80/80 - 32s 399ms/step - loss: 0.0990 - acc: 0.9932 - val_loss: 0.4112 - val_acc: 0.9186
 103 Epoch 2551/5000
 104 80/80 - 32s 399ms/step - loss: 0.0970 - acc: 0.9937 - val_loss: 0.4091 - val_acc: 0.9190
 105 Epoch 2552/5000
 106 80/80 - 32s 399ms/step - loss: 0.0972 - acc: 0.9942 - val_loss: 0.4164 - val_acc: 0.9191
 107 Epoch 2553/5000
 108 80/80 - 32s 400ms/step - loss: 0.0971 - acc: 0.9939 - val_loss: 0.4206 - val_acc: 0.9156
 109 Epoch 2554/5000
 110 80/80 - 32s 400ms/step - loss: 0.0971 - acc: 0.9937 - val_loss: 0.4245 - val_acc: 0.9163
 111 Epoch 2555/5000
 112 80/80 - 32s 400ms/step - loss: 0.0988 - acc: 0.9927 - val_loss: 0.4192 - val_acc: 0.9191
 113 Epoch 2556/5000
 114 80/80 - 32s 399ms/step - loss: 0.0990 - acc: 0.9931 - val_loss: 0.4244 - val_acc: 0.9177
 115 Epoch 2557/5000
 116 80/80 - 32s 399ms/step - loss: 0.1005 - acc: 0.9928 - val_loss: 0.4160 - val_acc: 0.9195
 117 Epoch 2558/5000
 118 80/80 - 32s 399ms/step - loss: 0.0993 - acc: 0.9930 - val_loss: 0.4175 - val_acc: 0.9154
 119 Epoch 2559/5000
 120 80/80 - 32s 399ms/step - loss: 0.0994 - acc: 0.9929 - val_loss: 0.4214 - val_acc: 0.9157
 121 Epoch 2560/5000
 122 80/80 - 32s 399ms/step - loss: 0.0993 - acc: 0.9934 - val_loss: 0.4160 - val_acc: 0.9203
 123 Epoch 2561/5000
 124 80/80 - 32s 400ms/step - loss: 0.0990 - acc: 0.9931 - val_loss: 0.4251 - val_acc: 0.9156
 125 Epoch 2562/5000
 126 80/80 - 32s 399ms/step - loss: 0.0998 - acc: 0.9929 - val_loss: 0.4163 - val_acc: 0.9160
 127 Epoch 2563/5000
 128 80/80 - 32s 400ms/step - loss: 0.0980 - acc: 0.9933 - val_loss: 0.4083 - val_acc: 0.9204
 129 Epoch 2564/5000
 130 80/80 - 32s 400ms/step - loss: 0.0986 - acc: 0.9933 - val_loss: 0.4211 - val_acc: 0.9177
 131 Epoch 2565/5000
 132 80/80 - 32s 399ms/step - loss: 0.0982 - acc: 0.9929 - val_loss: 0.3990 - val_acc: 0.9198
 133 Epoch 2566/5000
 134 80/80 - 32s 400ms/step - loss: 0.1006 - acc: 0.9928 - val_loss: 0.4059 - val_acc: 0.9200
 135 Epoch 2567/5000
 136 80/80 - 32s 400ms/step - loss: 0.0982 - acc: 0.9936 - val_loss: 0.4255 - val_acc: 0.9172
 137 Epoch 2568/5000
 138 80/80 - 32s 399ms/step - loss: 0.0988 - acc: 0.9928 - val_loss: 0.4167 - val_acc: 0.9186
 139 Epoch 2569/5000
 140 80/80 - 32s 400ms/step - loss: 0.0982 - acc: 0.9937 - val_loss: 0.4128 - val_acc: 0.9216
 141 Epoch 2570/5000
 142 80/80 - 32s 400ms/step - loss: 0.1007 - acc: 0.9925 - val_loss: 0.4126 - val_acc: 0.9193
 143 Epoch 2571/5000
 144 80/80 - 32s 399ms/step - loss: 0.1005 - acc: 0.9923 - val_loss: 0.4234 - val_acc: 0.9143
 145 Epoch 2572/5000
 146 80/80 - 32s 400ms/step - loss: 0.0999 - acc: 0.9928 - val_loss: 0.4101 - val_acc: 0.9206
 147 Epoch 2573/5000
 148 80/80 - 32s 399ms/step - loss: 0.0997 - acc: 0.9935 - val_loss: 0.4210 - val_acc: 0.9181
 149 Epoch 2574/5000
 150 80/80 - 32s 400ms/step - loss: 0.0965 - acc: 0.9941 - val_loss: 0.4224 - val_acc: 0.9180
 151 Epoch 2575/5000
 152 80/80 - 32s 399ms/step - loss: 0.0967 - acc: 0.9941 - val_loss: 0.4097 - val_acc: 0.9208
 153 Epoch 2576/5000
 154 80/80 - 32s 399ms/step - loss: 0.0952 - acc: 0.9944 - val_loss: 0.4208 - val_acc: 0.9188
 155 Epoch 2577/5000
 156 80/80 - 32s 399ms/step - loss: 0.0973 - acc: 0.9937 - val_loss: 0.4197 - val_acc: 0.9157
 157 Epoch 2578/5000
 158 80/80 - 32s 400ms/step - loss: 0.0971 - acc: 0.9935 - val_loss: 0.4177 - val_acc: 0.9221
 159 Epoch 2579/5000
 160 80/80 - 32s 400ms/step - loss: 0.1009 - acc: 0.9925 - val_loss: 0.4102 - val_acc: 0.9205
 161 Epoch 2580/5000
 162 80/80 - 32s 400ms/step - loss: 0.0996 - acc: 0.9931 - val_loss: 0.4128 - val_acc: 0.9177
 163 Epoch 2581/5000
 164 80/80 - 32s 400ms/step - loss: 0.0997 - acc: 0.9934 - val_loss: 0.4057 - val_acc: 0.9193
 165 Epoch 2582/5000
 166 80/80 - 32s 399ms/step - loss: 0.0984 - acc: 0.9930 - val_loss: 0.3972 - val_acc: 0.9205
 167 Epoch 2583/5000
 168 80/80 - 32s 400ms/step - loss: 0.0937 - acc: 0.9952 - val_loss: 0.4127 - val_acc: 0.9192
 169 Epoch 2584/5000
 170 80/80 - 32s 399ms/step - loss: 0.0975 - acc: 0.9935 - val_loss: 0.4041 - val_acc: 0.9223
 171 Epoch 2585/5000
 172 80/80 - 32s 400ms/step - loss: 0.0998 - acc: 0.9926 - val_loss: 0.4125 - val_acc: 0.9182
 173 Epoch 2586/5000
 174 80/80 - 32s 400ms/step - loss: 0.1021 - acc: 0.9918 - val_loss: 0.4003 - val_acc: 0.9196
 175 Epoch 2587/5000
 176 80/80 - 32s 400ms/step - loss: 0.0987 - acc: 0.9931 - val_loss: 0.4137 - val_acc: 0.9204
 177 Epoch 2588/5000
 178 80/80 - 32s 399ms/step - loss: 0.0989 - acc: 0.9931 - val_loss: 0.4122 - val_acc: 0.9200
 179 Epoch 2589/5000
 180 80/80 - 32s 399ms/step - loss: 0.0976 - acc: 0.9936 - val_loss: 0.4021 - val_acc: 0.9193
 181 Epoch 2590/5000
 182 80/80 - 32s 400ms/step - loss: 0.0981 - acc: 0.9935 - val_loss: 0.4269 - val_acc: 0.9157
 183 Epoch 2591/5000
 184 80/80 - 32s 400ms/step - loss: 0.1002 - acc: 0.9925 - val_loss: 0.4298 - val_acc: 0.9166
 185 Epoch 2592/5000
 186 80/80 - 32s 399ms/step - loss: 0.1005 - acc: 0.9921 - val_loss: 0.4184 - val_acc: 0.9197
 187 Epoch 2593/5000
 188 80/80 - 32s 399ms/step - loss: 0.0981 - acc: 0.9936 - val_loss: 0.4072 - val_acc: 0.9192
 189 Epoch 2594/5000
 190 80/80 - 32s 399ms/step - loss: 0.0960 - acc: 0.9943 - val_loss: 0.4043 - val_acc: 0.9225
 191 Epoch 2595/5000
 192 80/80 - 32s 399ms/step - loss: 0.0964 - acc: 0.9939 - val_loss: 0.4311 - val_acc: 0.9145
 193 Epoch 2596/5000
 194 80/80 - 32s 399ms/step - loss: 0.0977 - acc: 0.9937 - val_loss: 0.4075 - val_acc: 0.9217
 195 Epoch 2597/5000
 196 80/80 - 32s 400ms/step - loss: 0.0989 - acc: 0.9934 - val_loss: 0.4333 - val_acc: 0.9161
 197 Epoch 2598/5000
 198 80/80 - 32s 400ms/step - loss: 0.1013 - acc: 0.9923 - val_loss: 0.4255 - val_acc: 0.9161
 199 Epoch 2599/5000
 200 80/80 - 32s 399ms/step - loss: 0.1015 - acc: 0.9925 - val_loss: 0.3974 - val_acc: 0.9204
 201 Epoch 2600/5000
 202 80/80 - 32s 400ms/step - loss: 0.0998 - acc: 0.9930 - val_loss: 0.4109 - val_acc: 0.9211
 203 Epoch 2601/5000
 204 80/80 - 32s 400ms/step - loss: 0.0983 - acc: 0.9935 - val_loss: 0.4120 - val_acc: 0.9208
 205 Epoch 2602/5000
 206 80/80 - 32s 399ms/step - loss: 0.0988 - acc: 0.9927 - val_loss: 0.4055 - val_acc: 0.9196
 207 Epoch 2603/5000
 208 80/80 - 32s 400ms/step - loss: 0.0996 - acc: 0.9932 - val_loss: 0.4109 - val_acc: 0.9207
 209 Epoch 2604/5000
 210 80/80 - 32s 400ms/step - loss: 0.0973 - acc: 0.9937 - val_loss: 0.4208 - val_acc: 0.9182
 211 Epoch 2605/5000
 212 80/80 - 32s 400ms/step - loss: 0.0994 - acc: 0.9929 - val_loss: 0.4018 - val_acc: 0.9223
 213 Epoch 2606/5000
 214 80/80 - 32s 400ms/step - loss: 0.0971 - acc: 0.9937 - val_loss: 0.4009 - val_acc: 0.9228
 215 Epoch 2607/5000
 216 80/80 - 32s 400ms/step - loss: 0.0985 - acc: 0.9931 - val_loss: 0.4101 - val_acc: 0.9218
 217 Epoch 2608/5000
 218 80/80 - 32s 399ms/step - loss: 0.0986 - acc: 0.9929 - val_loss: 0.4025 - val_acc: 0.9194
 219 Epoch 2609/5000
 220 80/80 - 32s 400ms/step - loss: 0.0978 - acc: 0.9935 - val_loss: 0.4306 - val_acc: 0.9177
 221 Epoch 2610/5000
 222 80/80 - 32s 400ms/step - loss: 0.0978 - acc: 0.9934 - val_loss: 0.3992 - val_acc: 0.9206
 223 Epoch 2611/5000
 224 80/80 - 32s 400ms/step - loss: 0.0968 - acc: 0.9939 - val_loss: 0.4082 - val_acc: 0.9193
 225 Epoch 2612/5000
 226 80/80 - 32s 400ms/step - loss: 0.0961 - acc: 0.9941 - val_loss: 0.4167 - val_acc: 0.9175
 227 Epoch 2613/5000
 228 80/80 - 32s 400ms/step - loss: 0.1007 - acc: 0.9924 - val_loss: 0.4278 - val_acc: 0.9139
 229 Epoch 2614/5000
 230 80/80 - 32s 399ms/step - loss: 0.0998 - acc: 0.9931 - val_loss: 0.3944 - val_acc: 0.9230
 231 Epoch 2615/5000
 232 80/80 - 32s 400ms/step - loss: 0.0980 - acc: 0.9935 - val_loss: 0.4270 - val_acc: 0.9189
 233 Epoch 2616/5000
 234 80/80 - 32s 400ms/step - loss: 0.0979 - acc: 0.9934 - val_loss: 0.4189 - val_acc: 0.9158
 235 Epoch 2617/5000
 236 80/80 - 32s 400ms/step - loss: 0.0973 - acc: 0.9938 - val_loss: 0.4085 - val_acc: 0.9197
 237 Epoch 2618/5000
 238 80/80 - 32s 399ms/step - loss: 0.0986 - acc: 0.9931 - val_loss: 0.4071 - val_acc: 0.9197
 239 Epoch 2619/5000
 240 80/80 - 32s 400ms/step - loss: 0.0988 - acc: 0.9934 - val_loss: 0.4104 - val_acc: 0.9175
 241 Epoch 2620/5000
 242 80/80 - 32s 399ms/step - loss: 0.0985 - acc: 0.9930 - val_loss: 0.4074 - val_acc: 0.9190
 243 Epoch 2621/5000
 244 80/80 - 32s 400ms/step - loss: 0.1012 - acc: 0.9922 - val_loss: 0.3955 - val_acc: 0.9221
 245 Epoch 2622/5000
 246 80/80 - 32s 400ms/step - loss: 0.0966 - acc: 0.9939 - val_loss: 0.4020 - val_acc: 0.9182
 247 Epoch 2623/5000
 248 80/80 - 32s 400ms/step - loss: 0.0972 - acc: 0.9934 - val_loss: 0.4133 - val_acc: 0.9183
 249 Epoch 2624/5000
 250 80/80 - 32s 400ms/step - loss: 0.0977 - acc: 0.9935 - val_loss: 0.4207 - val_acc: 0.9197
 251 Epoch 2625/5000
 252 80/80 - 32s 400ms/step - loss: 0.0996 - acc: 0.9930 - val_loss: 0.4089 - val_acc: 0.9212
 253 Epoch 2626/5000
 254 80/80 - 32s 399ms/step - loss: 0.1003 - acc: 0.9934 - val_loss: 0.4132 - val_acc: 0.9185
 255 Epoch 2627/5000
 256 80/80 - 32s 400ms/step - loss: 0.0977 - acc: 0.9937 - val_loss: 0.3954 - val_acc: 0.9247
 257 Epoch 2628/5000
 258 80/80 - 32s 399ms/step - loss: 0.0981 - acc: 0.9934 - val_loss: 0.4054 - val_acc: 0.9197
 259 Epoch 2629/5000
 260 80/80 - 32s 400ms/step - loss: 0.0982 - acc: 0.9932 - val_loss: 0.4149 - val_acc: 0.9201
 261 Epoch 2630/5000
 262 80/80 - 32s 399ms/step - loss: 0.0995 - acc: 0.9929 - val_loss: 0.4055 - val_acc: 0.9197
 263 Epoch 2631/5000
 264 80/80 - 32s 400ms/step - loss: 0.0983 - acc: 0.9937 - val_loss: 0.4128 - val_acc: 0.9185
 265 Epoch 2632/5000
 266 80/80 - 32s 400ms/step - loss: 0.0985 - acc: 0.9936 - val_loss: 0.4011 - val_acc: 0.9206
 267 Epoch 2633/5000
 268 80/80 - 32s 400ms/step - loss: 0.0952 - acc: 0.9942 - val_loss: 0.3949 - val_acc: 0.9207
 269 Epoch 2634/5000
 270 80/80 - 32s 400ms/step - loss: 0.0976 - acc: 0.9936 - val_loss: 0.3849 - val_acc: 0.9241
 271 Epoch 2635/5000
 272 80/80 - 32s 400ms/step - loss: 0.0991 - acc: 0.9928 - val_loss: 0.4020 - val_acc: 0.9219
 273 Epoch 2636/5000
 274 80/80 - 32s 399ms/step - loss: 0.0961 - acc: 0.9941 - val_loss: 0.4096 - val_acc: 0.9193
 275 Epoch 2637/5000
 276 80/80 - 32s 399ms/step - loss: 0.0949 - acc: 0.9944 - val_loss: 0.3974 - val_acc: 0.9247
 277 Epoch 2638/5000
 278 80/80 - 32s 400ms/step - loss: 0.0968 - acc: 0.9937 - val_loss: 0.4155 - val_acc: 0.9219
 279 Epoch 2639/5000
 280 80/80 - 32s 400ms/step - loss: 0.0991 - acc: 0.9932 - val_loss: 0.4076 - val_acc: 0.9211
 281 Epoch 2640/5000
 282 80/80 - 32s 400ms/step - loss: 0.0978 - acc: 0.9932 - val_loss: 0.3905 - val_acc: 0.9236
 283 Epoch 2641/5000
 284 80/80 - 32s 400ms/step - loss: 0.0969 - acc: 0.9939 - val_loss: 0.3885 - val_acc: 0.9236
 285 Epoch 2642/5000
 286 80/80 - 32s 399ms/step - loss: 0.0993 - acc: 0.9929 - val_loss: 0.4034 - val_acc: 0.9235
 287 Epoch 2643/5000
 288 80/80 - 32s 400ms/step - loss: 0.0979 - acc: 0.9932 - val_loss: 0.4073 - val_acc: 0.9218
 289 Epoch 2644/5000
 290 80/80 - 32s 399ms/step - loss: 0.0988 - acc: 0.9932 - val_loss: 0.4026 - val_acc: 0.9224
 291 Epoch 2645/5000
 292 80/80 - 32s 400ms/step - loss: 0.0958 - acc: 0.9940 - val_loss: 0.4014 - val_acc: 0.9220
 293 Epoch 2646/5000
 294 80/80 - 32s 400ms/step - loss: 0.0985 - acc: 0.9933 - val_loss: 0.4068 - val_acc: 0.9213
 295 Epoch 2647/5000
 296 80/80 - 32s 399ms/step - loss: 0.0974 - acc: 0.9939 - val_loss: 0.4105 - val_acc: 0.9193
 297 Epoch 2648/5000
 298 80/80 - 32s 399ms/step - loss: 0.1025 - acc: 0.9917 - val_loss: 0.4219 - val_acc: 0.9188
 299 Epoch 2649/5000
 300 80/80 - 32s 399ms/step - loss: 0.0987 - acc: 0.9933 - val_loss: 0.4090 - val_acc: 0.9211
 301 Epoch 2650/5000
 302 80/80 - 32s 399ms/step - loss: 0.0959 - acc: 0.9941 - val_loss: 0.4021 - val_acc: 0.9208
 303 Epoch 2651/5000
 304 80/80 - 32s 400ms/step - loss: 0.0992 - acc: 0.9930 - val_loss: 0.4051 - val_acc: 0.9215
 305 Epoch 2652/5000
 306 80/80 - 32s 399ms/step - loss: 0.0990 - acc: 0.9930 - val_loss: 0.4006 - val_acc: 0.9229
 307 Epoch 2653/5000
 308 80/80 - 32s 399ms/step - loss: 0.0961 - acc: 0.9942 - val_loss: 0.4091 - val_acc: 0.9222
 309 Epoch 2654/5000
 310 80/80 - 32s 400ms/step - loss: 0.0961 - acc: 0.9937 - val_loss: 0.4235 - val_acc: 0.9196
 311 Epoch 2655/5000
 312 80/80 - 32s 399ms/step - loss: 0.0988 - acc: 0.9930 - val_loss: 0.4084 - val_acc: 0.9186
 313 Epoch 2656/5000
 314 80/80 - 32s 400ms/step - loss: 0.0984 - acc: 0.9932 - val_loss: 0.4081 - val_acc: 0.9210
 315 Epoch 2657/5000
 316 80/80 - 32s 400ms/step - loss: 0.0980 - acc: 0.9935 - val_loss: 0.4156 - val_acc: 0.9190
 317 Epoch 2658/5000
 318 80/80 - 32s 400ms/step - loss: 0.0980 - acc: 0.9931 - val_loss: 0.4087 - val_acc: 0.9193
 319 Epoch 2659/5000
 320 80/80 - 32s 399ms/step - loss: 0.0977 - acc: 0.9934 - val_loss: 0.4033 - val_acc: 0.9185
 321 Epoch 2660/5000
 322 80/80 - 32s 400ms/step - loss: 0.0969 - acc: 0.9940 - val_loss: 0.3986 - val_acc: 0.9222
 323 Epoch 2661/5000
 324 80/80 - 32s 399ms/step - loss: 0.0969 - acc: 0.9939 - val_loss: 0.3965 - val_acc: 0.9218
 325 Epoch 2662/5000
 326 80/80 - 32s 399ms/step - loss: 0.0962 - acc: 0.9937 - val_loss: 0.3976 - val_acc: 0.9215
 327 Epoch 2663/5000
 328 80/80 - 32s 400ms/step - loss: 0.0950 - acc: 0.9943 - val_loss: 0.4167 - val_acc: 0.9188
 329 Epoch 2664/5000
 330 80/80 - 32s 399ms/step - loss: 0.0979 - acc: 0.9932 - val_loss: 0.4034 - val_acc: 0.9206
 331 Epoch 2665/5000
 332 80/80 - 32s 399ms/step - loss: 0.0992 - acc: 0.9929 - val_loss: 0.3969 - val_acc: 0.9234
 333 Epoch 2666/5000
 334 80/80 - 32s 400ms/step - loss: 0.0964 - acc: 0.9941 - val_loss: 0.3966 - val_acc: 0.9220
 335 Epoch 2667/5000
 336 80/80 - 32s 400ms/step - loss: 0.0973 - acc: 0.9936 - val_loss: 0.4148 - val_acc: 0.9198
 337 Epoch 2668/5000
 338 80/80 - 32s 399ms/step - loss: 0.0968 - acc: 0.9938 - val_loss: 0.4037 - val_acc: 0.9208
 339 Epoch 2669/5000
 340 80/80 - 32s 399ms/step - loss: 0.0971 - acc: 0.9935 - val_loss: 0.4084 - val_acc: 0.9209
 341 Epoch 2670/5000
 342 80/80 - 32s 400ms/step - loss: 0.0971 - acc: 0.9934 - val_loss: 0.4074 - val_acc: 0.9189
 343 Epoch 2671/5000
 344 80/80 - 32s 400ms/step - loss: 0.0977 - acc: 0.9931 - val_loss: 0.4032 - val_acc: 0.9232
 345 Epoch 2672/5000
 346 80/80 - 32s 400ms/step - loss: 0.0997 - acc: 0.9927 - val_loss: 0.3939 - val_acc: 0.9240
 347 Epoch 2673/5000
 348 80/80 - 32s 399ms/step - loss: 0.0946 - acc: 0.9947 - val_loss: 0.3953 - val_acc: 0.9237
 349 Epoch 2674/5000
 350 80/80 - 32s 400ms/step - loss: 0.0975 - acc: 0.9935 - val_loss: 0.3868 - val_acc: 0.9279
 351 Epoch 2675/5000
 352 80/80 - 32s 399ms/step - loss: 0.0990 - acc: 0.9930 - val_loss: 0.4006 - val_acc: 0.9199
 353 Epoch 2676/5000
 354 80/80 - 32s 400ms/step - loss: 0.0964 - acc: 0.9934 - val_loss: 0.4220 - val_acc: 0.9188
 355 Epoch 2677/5000
 356 80/80 - 32s 399ms/step - loss: 0.1000 - acc: 0.9929 - val_loss: 0.4106 - val_acc: 0.9204
 357 Epoch 2678/5000
 358 80/80 - 32s 399ms/step - loss: 0.0999 - acc: 0.9929 - val_loss: 0.4121 - val_acc: 0.9190
 359 Epoch 2679/5000
 360 80/80 - 32s 399ms/step - loss: 0.0965 - acc: 0.9941 - val_loss: 0.4127 - val_acc: 0.9188
 361 Epoch 2680/5000
 362 80/80 - 32s 399ms/step - loss: 0.0980 - acc: 0.9932 - val_loss: 0.4100 - val_acc: 0.9202
 363 Epoch 2681/5000
 364 80/80 - 32s 399ms/step - loss: 0.0969 - acc: 0.9940 - val_loss: 0.4025 - val_acc: 0.9228
 365 Epoch 2682/5000
 366 80/80 - 32s 399ms/step - loss: 0.0962 - acc: 0.9940 - val_loss: 0.4207 - val_acc: 0.9190
 367 Epoch 2683/5000
 368 80/80 - 32s 399ms/step - loss: 0.0992 - acc: 0.9931 - val_loss: 0.4197 - val_acc: 0.9177
 369 Epoch 2684/5000
 370 80/80 - 32s 399ms/step - loss: 0.0983 - acc: 0.9934 - val_loss: 0.4109 - val_acc: 0.9206
 371 Epoch 2685/5000
 372 80/80 - 32s 399ms/step - loss: 0.0965 - acc: 0.9938 - val_loss: 0.4025 - val_acc: 0.9218
 373 Epoch 2686/5000
 374 80/80 - 32s 399ms/step - loss: 0.0968 - acc: 0.9936 - val_loss: 0.4093 - val_acc: 0.9219
 375 Epoch 2687/5000
 376 80/80 - 32s 400ms/step - loss: 0.0970 - acc: 0.9934 - val_loss: 0.4014 - val_acc: 0.9196
 377 Epoch 2688/5000
 378 80/80 - 32s 400ms/step - loss: 0.0976 - acc: 0.9934 - val_loss: 0.4054 - val_acc: 0.9226
 379 Epoch 2689/5000
 380 80/80 - 32s 400ms/step - loss: 0.0964 - acc: 0.9936 - val_loss: 0.4357 - val_acc: 0.9176
 381 Epoch 2690/5000
 382 80/80 - 32s 400ms/step - loss: 0.0996 - acc: 0.9927 - val_loss: 0.4148 - val_acc: 0.9204
 383 Epoch 2691/5000
 384 80/80 - 32s 399ms/step - loss: 0.0999 - acc: 0.9930 - val_loss: 0.4421 - val_acc: 0.9148
 385 Epoch 2692/5000
 386 80/80 - 32s 399ms/step - loss: 0.1005 - acc: 0.9918 - val_loss: 0.4207 - val_acc: 0.9183
 387 Epoch 2693/5000
 388 80/80 - 32s 399ms/step - loss: 0.0955 - acc: 0.9942 - val_loss: 0.4128 - val_acc: 0.9198
 389 Epoch 2694/5000
 390 80/80 - 32s 400ms/step - loss: 0.0985 - acc: 0.9931 - val_loss: 0.4005 - val_acc: 0.9238
 391 Epoch 2695/5000
 392 80/80 - 32s 400ms/step - loss: 0.0960 - acc: 0.9937 - val_loss: 0.4034 - val_acc: 0.9219
 393 Epoch 2696/5000
 394 80/80 - 32s 399ms/step - loss: 0.0971 - acc: 0.9933 - val_loss: 0.4024 - val_acc: 0.9232
 395 Epoch 2697/5000
 396 80/80 - 32s 400ms/step - loss: 0.0954 - acc: 0.9942 - val_loss: 0.4048 - val_acc: 0.9216
 397 Epoch 2698/5000
 398 80/80 - 32s 399ms/step - loss: 0.0964 - acc: 0.9938 - val_loss: 0.4180 - val_acc: 0.9184
 399 Epoch 2699/5000
 400 80/80 - 32s 400ms/step - loss: 0.0962 - acc: 0.9940 - val_loss: 0.4164 - val_acc: 0.9208
 401 Epoch 2700/5000
 402 80/80 - 32s 399ms/step - loss: 0.0968 - acc: 0.9938 - val_loss: 0.4152 - val_acc: 0.9186
 403 Epoch 2701/5000
 404 80/80 - 32s 399ms/step - loss: 0.0991 - acc: 0.9929 - val_loss: 0.4133 - val_acc: 0.9202
 405 Epoch 2702/5000
 406 80/80 - 32s 400ms/step - loss: 0.0979 - acc: 0.9929 - val_loss: 0.3980 - val_acc: 0.9215
 407 Epoch 2703/5000
 408 80/80 - 32s 399ms/step - loss: 0.0965 - acc: 0.9940 - val_loss: 0.4181 - val_acc: 0.9183
 409 Epoch 2704/5000
 410 80/80 - 32s 400ms/step - loss: 0.0976 - acc: 0.9937 - val_loss: 0.4209 - val_acc: 0.9201
 411 Epoch 2705/5000
 412 80/80 - 32s 400ms/step - loss: 0.0973 - acc: 0.9936 - val_loss: 0.4127 - val_acc: 0.9203
 413 Epoch 2706/5000
 414 80/80 - 32s 399ms/step - loss: 0.0978 - acc: 0.9934 - val_loss: 0.4009 - val_acc: 0.9232
 415 Epoch 2707/5000
 416 80/80 - 32s 400ms/step - loss: 0.0963 - acc: 0.9938 - val_loss: 0.4163 - val_acc: 0.9188
 417 Epoch 2708/5000
 418 80/80 - 32s 400ms/step - loss: 0.1013 - acc: 0.9926 - val_loss: 0.4137 - val_acc: 0.9184
 419 Epoch 2709/5000
 420 80/80 - 32s 399ms/step - loss: 0.0980 - acc: 0.9933 - val_loss: 0.4121 - val_acc: 0.9202
 421 Epoch 2710/5000
 422 80/80 - 32s 400ms/step - loss: 0.0947 - acc: 0.9943 - val_loss: 0.4124 - val_acc: 0.9214
 423 Epoch 2711/5000
 424 80/80 - 32s 399ms/step - loss: 0.0967 - acc: 0.9939 - val_loss: 0.4326 - val_acc: 0.9164
 425 Epoch 2712/5000
 426 80/80 - 32s 400ms/step - loss: 0.0969 - acc: 0.9935 - val_loss: 0.4284 - val_acc: 0.9170
 427 Epoch 2713/5000
 428 80/80 - 32s 399ms/step - loss: 0.0991 - acc: 0.9927 - val_loss: 0.4333 - val_acc: 0.9171
 429 Epoch 2714/5000
 430 80/80 - 32s 400ms/step - loss: 0.0984 - acc: 0.9930 - val_loss: 0.4169 - val_acc: 0.9168
 431 Epoch 2715/5000
 432 80/80 - 32s 400ms/step - loss: 0.0974 - acc: 0.9939 - val_loss: 0.4255 - val_acc: 0.9151
 433 Epoch 2716/5000
 434 80/80 - 32s 399ms/step - loss: 0.0989 - acc: 0.9929 - val_loss: 0.4167 - val_acc: 0.9198
 435 Epoch 2717/5000
 436 80/80 - 32s 400ms/step - loss: 0.0980 - acc: 0.9932 - val_loss: 0.4285 - val_acc: 0.9159
 437 Epoch 2718/5000
 438 80/80 - 32s 400ms/step - loss: 0.0972 - acc: 0.9933 - val_loss: 0.4089 - val_acc: 0.9190
 439 Epoch 2719/5000
 440 80/80 - 32s 399ms/step - loss: 0.0976 - acc: 0.9932 - val_loss: 0.4192 - val_acc: 0.9172
 441 Epoch 2720/5000
 442 80/80 - 32s 400ms/step - loss: 0.0990 - acc: 0.9933 - val_loss: 0.4182 - val_acc: 0.9173
 443 Epoch 2721/5000
 444 80/80 - 32s 400ms/step - loss: 0.0990 - acc: 0.9929 - val_loss: 0.4402 - val_acc: 0.9162
 445 Epoch 2722/5000
 446 80/80 - 32s 399ms/step - loss: 0.0999 - acc: 0.9927 - val_loss: 0.4046 - val_acc: 0.9209
 447 Epoch 2723/5000
 448 80/80 - 32s 399ms/step - loss: 0.0987 - acc: 0.9932 - val_loss: 0.3987 - val_acc: 0.9237
 449 Epoch 2724/5000
 450 80/80 - 32s 399ms/step - loss: 0.0954 - acc: 0.9940 - val_loss: 0.4187 - val_acc: 0.9198
 451 Epoch 2725/5000
 452 80/80 - 32s 399ms/step - loss: 0.0971 - acc: 0.9933 - val_loss: 0.4090 - val_acc: 0.9192
 453 Epoch 2726/5000
 454 80/80 - 32s 399ms/step - loss: 0.0964 - acc: 0.9940 - val_loss: 0.4208 - val_acc: 0.9179
 455 Epoch 2727/5000
 456 80/80 - 32s 399ms/step - loss: 0.0974 - acc: 0.9934 - val_loss: 0.4090 - val_acc: 0.9226
 457 Epoch 2728/5000
 458 80/80 - 32s 399ms/step - loss: 0.0970 - acc: 0.9937 - val_loss: 0.4152 - val_acc: 0.9195
 459 Epoch 2729/5000
 460 80/80 - 32s 400ms/step - loss: 0.0968 - acc: 0.9935 - val_loss: 0.4141 - val_acc: 0.9203
 461 Epoch 2730/5000
 462 80/80 - 32s 399ms/step - loss: 0.0976 - acc: 0.9938 - val_loss: 0.4124 - val_acc: 0.9190
 463 Epoch 2731/5000
 464 80/80 - 32s 399ms/step - loss: 0.0964 - acc: 0.9936 - val_loss: 0.4213 - val_acc: 0.9205
 465 Epoch 2732/5000
 466 80/80 - 32s 399ms/step - loss: 0.0963 - acc: 0.9941 - val_loss: 0.4038 - val_acc: 0.9224
 467 Epoch 2733/5000
 468 80/80 - 32s 400ms/step - loss: 0.0971 - acc: 0.9938 - val_loss: 0.4017 - val_acc: 0.9220
 469 Epoch 2734/5000
 470 80/80 - 32s 400ms/step - loss: 0.0976 - acc: 0.9932 - val_loss: 0.4037 - val_acc: 0.9185
 471 Epoch 2735/5000
 472 80/80 - 32s 399ms/step - loss: 0.0946 - acc: 0.9943 - val_loss: 0.4279 - val_acc: 0.9170
 473 Epoch 2736/5000
 474 80/80 - 32s 399ms/step - loss: 0.0978 - acc: 0.9932 - val_loss: 0.4096 - val_acc: 0.9191
 475 Epoch 2737/5000
 476 80/80 - 32s 399ms/step - loss: 0.0977 - acc: 0.9934 - val_loss: 0.4116 - val_acc: 0.9193
 477 Epoch 2738/5000
 478 80/80 - 32s 399ms/step - loss: 0.0988 - acc: 0.9934 - val_loss: 0.4065 - val_acc: 0.9204
 479 Epoch 2739/5000
 480 80/80 - 32s 400ms/step - loss: 0.0959 - acc: 0.9937 - val_loss: 0.4142 - val_acc: 0.9183
 481 Epoch 2740/5000
 482 80/80 - 32s 400ms/step - loss: 0.0973 - acc: 0.9934 - val_loss: 0.4102 - val_acc: 0.9187
 483 Epoch 2741/5000
 484 80/80 - 32s 400ms/step - loss: 0.0969 - acc: 0.9936 - val_loss: 0.3986 - val_acc: 0.9215
 485 Epoch 2742/5000
 486 80/80 - 32s 400ms/step - loss: 0.0977 - acc: 0.9933 - val_loss: 0.3990 - val_acc: 0.9211
 487 Epoch 2743/5000
 488 80/80 - 32s 400ms/step - loss: 0.0960 - acc: 0.9942 - val_loss: 0.4157 - val_acc: 0.9180
 489 Epoch 2744/5000
 490 80/80 - 32s 399ms/step - loss: 0.0970 - acc: 0.9935 - val_loss: 0.4073 - val_acc: 0.9223
 491 Epoch 2745/5000
 492 80/80 - 32s 400ms/step - loss: 0.0964 - acc: 0.9936 - val_loss: 0.4208 - val_acc: 0.9195
 493 Epoch 2746/5000
 494 80/80 - 32s 400ms/step - loss: 0.0954 - acc: 0.9937 - val_loss: 0.4097 - val_acc: 0.9224
 495 Epoch 2747/5000
 496 80/80 - 32s 400ms/step - loss: 0.0974 - acc: 0.9934 - val_loss: 0.4088 - val_acc: 0.9212
 497 Epoch 2748/5000
 498 80/80 - 32s 399ms/step - loss: 0.0985 - acc: 0.9926 - val_loss: 0.3928 - val_acc: 0.9236
 499 Epoch 2749/5000
 500 80/80 - 32s 400ms/step - loss: 0.0986 - acc: 0.9927 - val_loss: 0.3917 - val_acc: 0.9218
 501 Epoch 2750/5000
 502 80/80 - 32s 399ms/step - loss: 0.0971 - acc: 0.9939 - val_loss: 0.4023 - val_acc: 0.9231
 503 Epoch 2751/5000
 504 80/80 - 32s 400ms/step - loss: 0.0981 - acc: 0.9933 - val_loss: 0.3974 - val_acc: 0.9205
 505 Epoch 2752/5000
 506 80/80 - 32s 400ms/step - loss: 0.0965 - acc: 0.9935 - val_loss: 0.4127 - val_acc: 0.9194
 507 Epoch 2753/5000
 508 80/80 - 32s 400ms/step - loss: 0.0972 - acc: 0.9936 - val_loss: 0.4006 - val_acc: 0.9218
 509 Epoch 2754/5000
 510 80/80 - 32s 400ms/step - loss: 0.0993 - acc: 0.9928 - val_loss: 0.4107 - val_acc: 0.9205
 511 Epoch 2755/5000
 512 80/80 - 32s 400ms/step - loss: 0.0964 - acc: 0.9937 - val_loss: 0.3914 - val_acc: 0.9250
 513 Epoch 2756/5000
 514 80/80 - 32s 399ms/step - loss: 0.0964 - acc: 0.9939 - val_loss: 0.3962 - val_acc: 0.9229
 515 Epoch 2757/5000
 516 80/80 - 32s 400ms/step - loss: 0.0969 - acc: 0.9934 - val_loss: 0.4014 - val_acc: 0.9222
 517 Epoch 2758/5000
 518 80/80 - 32s 400ms/step - loss: 0.0988 - acc: 0.9930 - val_loss: 0.4162 - val_acc: 0.9200
 519 Epoch 2759/5000
 520 80/80 - 32s 403ms/step - loss: 0.0972 - acc: 0.9936 - val_loss: 0.4115 - val_acc: 0.9213
 521 Epoch 2760/5000
 522 80/80 - 32s 400ms/step - loss: 0.0964 - acc: 0.9937 - val_loss: 0.4100 - val_acc: 0.9184
 523 Epoch 2761/5000
 524 80/80 - 32s 400ms/step - loss: 0.0988 - acc: 0.9928 - val_loss: 0.4156 - val_acc: 0.9186
 525 Epoch 2762/5000
 526 80/80 - 32s 399ms/step - loss: 0.0946 - acc: 0.9944 - val_loss: 0.4085 - val_acc: 0.9195
 527 Epoch 2763/5000
 528 80/80 - 32s 400ms/step - loss: 0.0952 - acc: 0.9937 - val_loss: 0.4210 - val_acc: 0.9174
 529 Epoch 2764/5000
 530 80/80 - 32s 399ms/step - loss: 0.0973 - acc: 0.9931 - val_loss: 0.4238 - val_acc: 0.9175
 531 Epoch 2765/5000
 532 80/80 - 32s 399ms/step - loss: 0.0973 - acc: 0.9935 - val_loss: 0.4231 - val_acc: 0.9184
 533 Epoch 2766/5000
 534 80/80 - 32s 399ms/step - loss: 0.0990 - acc: 0.9929 - val_loss: 0.4158 - val_acc: 0.9191
 535 Epoch 2767/5000
 536 80/80 - 32s 399ms/step - loss: 0.0984 - acc: 0.9929 - val_loss: 0.4081 - val_acc: 0.9180
 537 Epoch 2768/5000
 538 80/80 - 32s 400ms/step - loss: 0.0978 - acc: 0.9933 - val_loss: 0.4206 - val_acc: 0.9165
 539 Epoch 2769/5000
 540 80/80 - 32s 401ms/step - loss: 0.0958 - acc: 0.9937 - val_loss: 0.4084 - val_acc: 0.9183
 541 Epoch 2770/5000
 542 80/80 - 32s 400ms/step - loss: 0.0989 - acc: 0.9930 - val_loss: 0.4146 - val_acc: 0.9180
 543 Epoch 2771/5000
 544 80/80 - 32s 401ms/step - loss: 0.0995 - acc: 0.9932 - val_loss: 0.4020 - val_acc: 0.9195
 545 Epoch 2772/5000
 546 80/80 - 32s 400ms/step - loss: 0.0968 - acc: 0.9934 - val_loss: 0.3946 - val_acc: 0.9253
 547 Epoch 2773/5000
 548 80/80 - 32s 400ms/step - loss: 0.0959 - acc: 0.9938 - val_loss: 0.4154 - val_acc: 0.9195
 549 Epoch 2774/5000
 550 80/80 - 32s 400ms/step - loss: 0.0978 - acc: 0.9930 - val_loss: 0.4129 - val_acc: 0.9196
 551 Epoch 2775/5000
 552 80/80 - 32s 399ms/step - loss: 0.0974 - acc: 0.9937 - val_loss: 0.4206 - val_acc: 0.9169
 553 Epoch 2776/5000
 554 80/80 - 32s 400ms/step - loss: 0.0963 - acc: 0.9937 - val_loss: 0.4115 - val_acc: 0.9198
 555 Epoch 2777/5000
 556 80/80 - 32s 400ms/step - loss: 0.0999 - acc: 0.9924 - val_loss: 0.4169 - val_acc: 0.9180
 557 Epoch 2778/5000
 558 80/80 - 32s 399ms/step - loss: 0.0993 - acc: 0.9926 - val_loss: 0.4161 - val_acc: 0.9207
 559 Epoch 2779/5000
 560 80/80 - 32s 400ms/step - loss: 0.1007 - acc: 0.9924 - val_loss: 0.4098 - val_acc: 0.9177
 561 Epoch 2780/5000
 562 80/80 - 32s 400ms/step - loss: 0.1017 - acc: 0.9916 - val_loss: 0.4123 - val_acc: 0.9176
 563 Epoch 2781/5000
 564 80/80 - 32s 399ms/step - loss: 0.0977 - acc: 0.9934 - val_loss: 0.4133 - val_acc: 0.9180
 565 Epoch 2782/5000
 566 80/80 - 32s 400ms/step - loss: 0.0976 - acc: 0.9931 - val_loss: 0.4278 - val_acc: 0.9153
 567 Epoch 2783/5000
 568 80/80 - 32s 399ms/step - loss: 0.0992 - acc: 0.9927 - val_loss: 0.4089 - val_acc: 0.9185
 569 Epoch 2784/5000
 570 80/80 - 32s 399ms/step - loss: 0.0987 - acc: 0.9924 - val_loss: 0.4190 - val_acc: 0.9187
 571 Epoch 2785/5000
 572 80/80 - 32s 400ms/step - loss: 0.0989 - acc: 0.9929 - val_loss: 0.4083 - val_acc: 0.9191
 573 Epoch 2786/5000
 574 80/80 - 32s 400ms/step - loss: 0.0971 - acc: 0.9934 - val_loss: 0.4127 - val_acc: 0.9192
 575 Epoch 2787/5000
 576 80/80 - 32s 400ms/step - loss: 0.0981 - acc: 0.9931 - val_loss: 0.4030 - val_acc: 0.9207
 577 Epoch 2788/5000
 578 80/80 - 32s 400ms/step - loss: 0.0973 - acc: 0.9935 - val_loss: 0.3978 - val_acc: 0.9218
 579 Epoch 2789/5000
 580 80/80 - 32s 400ms/step - loss: 0.0970 - acc: 0.9932 - val_loss: 0.4080 - val_acc: 0.9205
 581 Epoch 2790/5000
 582 80/80 - 32s 399ms/step - loss: 0.0967 - acc: 0.9940 - val_loss: 0.4017 - val_acc: 0.9217
 583 Epoch 2791/5000
 584 80/80 - 32s 400ms/step - loss: 0.0970 - acc: 0.9933 - val_loss: 0.4003 - val_acc: 0.9223
 585 Epoch 2792/5000
 586 80/80 - 32s 400ms/step - loss: 0.0944 - acc: 0.9943 - val_loss: 0.4182 - val_acc: 0.9211
 587 Epoch 2793/5000
 588 80/80 - 32s 400ms/step - loss: 0.0974 - acc: 0.9935 - val_loss: 0.4142 - val_acc: 0.9176
 589 Epoch 2794/5000
 590 80/80 - 32s 400ms/step - loss: 0.0976 - acc: 0.9935 - val_loss: 0.3996 - val_acc: 0.9209
 591 Epoch 2795/5000
 592 80/80 - 32s 400ms/step - loss: 0.0980 - acc: 0.9933 - val_loss: 0.4202 - val_acc: 0.9171
 593 Epoch 2796/5000
 594 80/80 - 32s 400ms/step - loss: 0.1000 - acc: 0.9926 - val_loss: 0.4170 - val_acc: 0.9189
 595 Epoch 2797/5000
 596 80/80 - 32s 399ms/step - loss: 0.0982 - acc: 0.9929 - val_loss: 0.4060 - val_acc: 0.9215
 597 Epoch 2798/5000
 598 80/80 - 32s 400ms/step - loss: 0.0972 - acc: 0.9932 - val_loss: 0.4076 - val_acc: 0.9205
 599 Epoch 2799/5000
 600 80/80 - 32s 400ms/step - loss: 0.0952 - acc: 0.9943 - val_loss: 0.4100 - val_acc: 0.9200
 601 Epoch 2800/5000
 602 80/80 - 32s 400ms/step - loss: 0.0975 - acc: 0.9935 - val_loss: 0.4176 - val_acc: 0.9184
 603 Epoch 2801/5000
 604 80/80 - 32s 400ms/step - loss: 0.0971 - acc: 0.9936 - val_loss: 0.4148 - val_acc: 0.9175
 605 Epoch 2802/5000
 606 80/80 - 32s 399ms/step - loss: 0.0949 - acc: 0.9942 - val_loss: 0.4052 - val_acc: 0.9218
 607 Epoch 2803/5000
 608 80/80 - 32s 400ms/step - loss: 0.0964 - acc: 0.9939 - val_loss: 0.3979 - val_acc: 0.9220
 609 Epoch 2804/5000
 610 80/80 - 32s 399ms/step - loss: 0.0976 - acc: 0.9928 - val_loss: 0.3957 - val_acc: 0.9225
 611 Epoch 2805/5000
 612 80/80 - 32s 399ms/step - loss: 0.0980 - acc: 0.9934 - val_loss: 0.3964 - val_acc: 0.9216
 613 Epoch 2806/5000
 614 80/80 - 32s 400ms/step - loss: 0.0968 - acc: 0.9935 - val_loss: 0.4204 - val_acc: 0.9203
 615 Epoch 2807/5000
 616 80/80 - 32s 400ms/step - loss: 0.0983 - acc: 0.9934 - val_loss: 0.4139 - val_acc: 0.9203
 617 Epoch 2808/5000
 618 80/80 - 32s 400ms/step - loss: 0.0987 - acc: 0.9929 - val_loss: 0.4037 - val_acc: 0.9192
 619 Epoch 2809/5000
 620 80/80 - 32s 400ms/step - loss: 0.0986 - acc: 0.9927 - val_loss: 0.4057 - val_acc: 0.9203
 621 Epoch 2810/5000
 622 80/80 - 32s 400ms/step - loss: 0.0987 - acc: 0.9930 - val_loss: 0.4055 - val_acc: 0.9181
 623 Epoch 2811/5000
 624 80/80 - 32s 400ms/step - loss: 0.0975 - acc: 0.9936 - val_loss: 0.4011 - val_acc: 0.9174
 625 Epoch 2812/5000
 626 80/80 - 32s 400ms/step - loss: 0.0948 - acc: 0.9944 - val_loss: 0.4148 - val_acc: 0.9197
 627 Epoch 2813/5000
 628 80/80 - 32s 400ms/step - loss: 0.0956 - acc: 0.9942 - val_loss: 0.4006 - val_acc: 0.9234
 629 Epoch 2814/5000
 630 80/80 - 32s 400ms/step - loss: 0.0975 - acc: 0.9934 - val_loss: 0.3995 - val_acc: 0.9185
 631 Epoch 2815/5000
 632 80/80 - 32s 400ms/step - loss: 0.0964 - acc: 0.9940 - val_loss: 0.4069 - val_acc: 0.9206
 633 Epoch 2816/5000
 634 80/80 - 32s 399ms/step - loss: 0.0991 - acc: 0.9924 - val_loss: 0.4033 - val_acc: 0.9209
 635 Epoch 2817/5000
 636 80/80 - 32s 399ms/step - loss: 0.0977 - acc: 0.9930 - val_loss: 0.3956 - val_acc: 0.9223
 637 Epoch 2818/5000
 638 80/80 - 32s 400ms/step - loss: 0.0945 - acc: 0.9945 - val_loss: 0.3962 - val_acc: 0.9258
 639 Epoch 2819/5000
 640 80/80 - 32s 399ms/step - loss: 0.0947 - acc: 0.9939 - val_loss: 0.3998 - val_acc: 0.9231
 641 Epoch 2820/5000
 642 80/80 - 32s 399ms/step - loss: 0.0966 - acc: 0.9937 - val_loss: 0.4144 - val_acc: 0.9206
 643 Epoch 2821/5000
 644 80/80 - 32s 400ms/step - loss: 0.0970 - acc: 0.9934 - val_loss: 0.4081 - val_acc: 0.9206
 645 Epoch 2822/5000
 646 80/80 - 32s 400ms/step - loss: 0.0953 - acc: 0.9940 - val_loss: 0.4050 - val_acc: 0.9226
 647 Epoch 2823/5000
 648 80/80 - 32s 400ms/step - loss: 0.0958 - acc: 0.9937 - val_loss: 0.4340 - val_acc: 0.9173
 649 Epoch 2824/5000
 650 80/80 - 32s 400ms/step - loss: 0.1004 - acc: 0.9921 - val_loss: 0.3955 - val_acc: 0.9213
 651 Epoch 2825/5000
 652 80/80 - 32s 400ms/step - loss: 0.0972 - acc: 0.9935 - val_loss: 0.4043 - val_acc: 0.9214
 653 Epoch 2826/5000
 654 80/80 - 32s 399ms/step - loss: 0.0964 - acc: 0.9938 - val_loss: 0.4085 - val_acc: 0.9219
 655 Epoch 2827/5000
 656 80/80 - 32s 400ms/step - loss: 0.0988 - acc: 0.9928 - val_loss: 0.3964 - val_acc: 0.9210
 657 Epoch 2828/5000
 658 80/80 - 32s 400ms/step - loss: 0.0934 - acc: 0.9948 - val_loss: 0.4140 - val_acc: 0.9205
 659 Epoch 2829/5000
 660 80/80 - 32s 400ms/step - loss: 0.0945 - acc: 0.9942 - val_loss: 0.4219 - val_acc: 0.9198
 661 Epoch 2830/5000
 662 80/80 - 32s 400ms/step - loss: 0.0995 - acc: 0.9923 - val_loss: 0.4031 - val_acc: 0.9197
 663 Epoch 2831/5000
 664 80/80 - 32s 400ms/step - loss: 0.0964 - acc: 0.9939 - val_loss: 0.3897 - val_acc: 0.9226
 665 Epoch 2832/5000
 666 80/80 - 32s 400ms/step - loss: 0.1004 - acc: 0.9927 - val_loss: 0.3936 - val_acc: 0.9214
 667 Epoch 2833/5000
 668 80/80 - 32s 400ms/step - loss: 0.0978 - acc: 0.9931 - val_loss: 0.4018 - val_acc: 0.9201
 669 Epoch 2834/5000
 670 80/80 - 32s 400ms/step - loss: 0.0998 - acc: 0.9924 - val_loss: 0.3988 - val_acc: 0.9198
 671 Epoch 2835/5000
 672 80/80 - 32s 400ms/step - loss: 0.0975 - acc: 0.9933 - val_loss: 0.3856 - val_acc: 0.9240
 673 Epoch 2836/5000
 674 80/80 - 32s 400ms/step - loss: 0.0970 - acc: 0.9939 - val_loss: 0.3876 - val_acc: 0.9229
 675 Epoch 2837/5000
 676 80/80 - 32s 400ms/step - loss: 0.0941 - acc: 0.9944 - val_loss: 0.3920 - val_acc: 0.9244
 677 Epoch 2838/5000
 678 80/80 - 32s 400ms/step - loss: 0.0948 - acc: 0.9944 - val_loss: 0.4028 - val_acc: 0.9221
 679 Epoch 2839/5000
 680 80/80 - 32s 400ms/step - loss: 0.0937 - acc: 0.9945 - val_loss: 0.4004 - val_acc: 0.9229
 681 Epoch 2840/5000
 682 80/80 - 32s 400ms/step - loss: 0.0972 - acc: 0.9934 - val_loss: 0.3903 - val_acc: 0.9226
 683 Epoch 2841/5000
 684 80/80 - 32s 400ms/step - loss: 0.0973 - acc: 0.9934 - val_loss: 0.3857 - val_acc: 0.9256
 685 Epoch 2842/5000
 686 80/80 - 32s 399ms/step - loss: 0.0964 - acc: 0.9936 - val_loss: 0.4010 - val_acc: 0.9221
 687 Epoch 2843/5000
 688 80/80 - 32s 400ms/step - loss: 0.0967 - acc: 0.9937 - val_loss: 0.4024 - val_acc: 0.9216
 689 Epoch 2844/5000
 690 80/80 - 32s 400ms/step - loss: 0.0997 - acc: 0.9926 - val_loss: 0.3900 - val_acc: 0.9236
 691 Epoch 2845/5000
 692 80/80 - 32s 400ms/step - loss: 0.0969 - acc: 0.9935 - val_loss: 0.3953 - val_acc: 0.9221
 693 Epoch 2846/5000
 694 80/80 - 32s 400ms/step - loss: 0.0951 - acc: 0.9938 - val_loss: 0.4021 - val_acc: 0.9208
 695 Epoch 2847/5000
 696 80/80 - 32s 400ms/step - loss: 0.0979 - acc: 0.9930 - val_loss: 0.4009 - val_acc: 0.9233
 697 Epoch 2848/5000
 698 80/80 - 32s 400ms/step - loss: 0.0977 - acc: 0.9930 - val_loss: 0.3930 - val_acc: 0.9237
 699 Epoch 2849/5000
 700 80/80 - 32s 400ms/step - loss: 0.0956 - acc: 0.9939 - val_loss: 0.4015 - val_acc: 0.9243
 701 Epoch 2850/5000
 702 80/80 - 32s 400ms/step - loss: 0.0927 - acc: 0.9948 - val_loss: 0.4049 - val_acc: 0.9207
 703 Epoch 2851/5000
 704 80/80 - 32s 400ms/step - loss: 0.0946 - acc: 0.9940 - val_loss: 0.4033 - val_acc: 0.9220
 705 Epoch 2852/5000
 706 80/80 - 32s 400ms/step - loss: 0.0978 - acc: 0.9929 - val_loss: 0.4225 - val_acc: 0.9175
 707 Epoch 2853/5000
 708 80/80 - 32s 400ms/step - loss: 0.0997 - acc: 0.9922 - val_loss: 0.4070 - val_acc: 0.9192
 709 Epoch 2854/5000
 710 80/80 - 32s 400ms/step - loss: 0.0983 - acc: 0.9928 - val_loss: 0.4036 - val_acc: 0.9210
 711 Epoch 2855/5000
 712 80/80 - 32s 399ms/step - loss: 0.0987 - acc: 0.9926 - val_loss: 0.4075 - val_acc: 0.9206
 713 Epoch 2856/5000
 714 80/80 - 32s 400ms/step - loss: 0.0987 - acc: 0.9927 - val_loss: 0.4032 - val_acc: 0.9203
 715 Epoch 2857/5000
 716 80/80 - 32s 401ms/step - loss: 0.0969 - acc: 0.9938 - val_loss: 0.4019 - val_acc: 0.9213
 717 Epoch 2858/5000
 718 80/80 - 32s 400ms/step - loss: 0.0964 - acc: 0.9937 - val_loss: 0.3899 - val_acc: 0.9238
 719 Epoch 2859/5000
 720 80/80 - 32s 400ms/step - loss: 0.0975 - acc: 0.9934 - val_loss: 0.3993 - val_acc: 0.9214
 721 Epoch 2860/5000
 722 80/80 - 32s 400ms/step - loss: 0.0949 - acc: 0.9941 - val_loss: 0.3994 - val_acc: 0.9235
 723 Epoch 2861/5000
 724 80/80 - 32s 401ms/step - loss: 0.0970 - acc: 0.9935 - val_loss: 0.4064 - val_acc: 0.9214
 725 Epoch 2862/5000
 726 80/80 - 32s 399ms/step - loss: 0.0955 - acc: 0.9940 - val_loss: 0.4041 - val_acc: 0.9193
 727 Epoch 2863/5000
 728 80/80 - 32s 400ms/step - loss: 0.0962 - acc: 0.9938 - val_loss: 0.4191 - val_acc: 0.9191
 729 Epoch 2864/5000
 730 80/80 - 32s 400ms/step - loss: 0.0973 - acc: 0.9931 - val_loss: 0.4045 - val_acc: 0.9201
 731 Epoch 2865/5000
 732 80/80 - 32s 399ms/step - loss: 0.0954 - acc: 0.9943 - val_loss: 0.3977 - val_acc: 0.9211
 733 Epoch 2866/5000
 734 80/80 - 32s 400ms/step - loss: 0.0961 - acc: 0.9938 - val_loss: 0.3989 - val_acc: 0.9227
 735 Epoch 2867/5000
 736 80/80 - 32s 400ms/step - loss: 0.0953 - acc: 0.9938 - val_loss: 0.3939 - val_acc: 0.9250
 737 Epoch 2868/5000
 738 80/80 - 32s 400ms/step - loss: 0.0979 - acc: 0.9930 - val_loss: 0.4125 - val_acc: 0.9216
 739 Epoch 2869/5000
 740 80/80 - 32s 400ms/step - loss: 0.0980 - acc: 0.9930 - val_loss: 0.4048 - val_acc: 0.9215
 741 Epoch 2870/5000
 742 80/80 - 32s 400ms/step - loss: 0.0993 - acc: 0.9924 - val_loss: 0.4179 - val_acc: 0.9196
 743 Epoch 2871/5000
 744 80/80 - 32s 399ms/step - loss: 0.0972 - acc: 0.9932 - val_loss: 0.4137 - val_acc: 0.9187
 745 Epoch 2872/5000
 746 80/80 - 32s 399ms/step - loss: 0.0984 - acc: 0.9931 - val_loss: 0.4157 - val_acc: 0.9195
 747 Epoch 2873/5000
 748 80/80 - 32s 400ms/step - loss: 0.0962 - acc: 0.9936 - val_loss: 0.4047 - val_acc: 0.9201
 749 Epoch 2874/5000
 750 80/80 - 32s 400ms/step - loss: 0.0961 - acc: 0.9935 - val_loss: 0.4069 - val_acc: 0.9214
 751 Epoch 2875/5000
 752 80/80 - 32s 400ms/step - loss: 0.0955 - acc: 0.9936 - val_loss: 0.4101 - val_acc: 0.9211
 753 Epoch 2876/5000
 754 80/80 - 32s 400ms/step - loss: 0.0973 - acc: 0.9933 - val_loss: 0.4001 - val_acc: 0.9206
 755 Epoch 2877/5000
 756 80/80 - 32s 400ms/step - loss: 0.0964 - acc: 0.9935 - val_loss: 0.4101 - val_acc: 0.9204
 757 Epoch 2878/5000
 758 80/80 - 32s 400ms/step - loss: 0.0967 - acc: 0.9934 - val_loss: 0.4193 - val_acc: 0.9174
 759 Epoch 2879/5000
 760 80/80 - 32s 400ms/step - loss: 0.0972 - acc: 0.9933 - val_loss: 0.4158 - val_acc: 0.9175
 761 Epoch 2880/5000
 762 80/80 - 32s 399ms/step - loss: 0.0972 - acc: 0.9932 - val_loss: 0.4232 - val_acc: 0.9165
 763 Epoch 2881/5000
 764 80/80 - 32s 399ms/step - loss: 0.0967 - acc: 0.9937 - val_loss: 0.4191 - val_acc: 0.9158
 765 Epoch 2882/5000
 766 80/80 - 32s 400ms/step - loss: 0.0976 - acc: 0.9931 - val_loss: 0.4062 - val_acc: 0.9201
 767 Epoch 2883/5000
 768 80/80 - 32s 400ms/step - loss: 0.0976 - acc: 0.9929 - val_loss: 0.4061 - val_acc: 0.9226
 769 Epoch 2884/5000
 770 80/80 - 32s 400ms/step - loss: 0.0970 - acc: 0.9933 - val_loss: 0.4124 - val_acc: 0.9204
 771 Epoch 2885/5000
 772 80/80 - 32s 400ms/step - loss: 0.0980 - acc: 0.9929 - val_loss: 0.4139 - val_acc: 0.9208
 773 Epoch 2886/5000
 774 80/80 - 32s 400ms/step - loss: 0.0999 - acc: 0.9925 - val_loss: 0.3985 - val_acc: 0.9198
 775 Epoch 2887/5000
 776 80/80 - 32s 399ms/step - loss: 0.0984 - acc: 0.9931 - val_loss: 0.4021 - val_acc: 0.9228
 777 Epoch 2888/5000
 778 80/80 - 32s 399ms/step - loss: 0.0941 - acc: 0.9943 - val_loss: 0.3999 - val_acc: 0.9217
 779 Epoch 2889/5000
 780 80/80 - 32s 400ms/step - loss: 0.0963 - acc: 0.9938 - val_loss: 0.4054 - val_acc: 0.9195
 781 Epoch 2890/5000
 782 80/80 - 32s 400ms/step - loss: 0.0997 - acc: 0.9925 - val_loss: 0.4106 - val_acc: 0.9215
 783 Epoch 2891/5000
 784 80/80 - 32s 400ms/step - loss: 0.0988 - acc: 0.9930 - val_loss: 0.4006 - val_acc: 0.9206
 785 Epoch 2892/5000
 786 80/80 - 32s 400ms/step - loss: 0.0969 - acc: 0.9934 - val_loss: 0.4031 - val_acc: 0.9217
 787 Epoch 2893/5000
 788 80/80 - 32s 400ms/step - loss: 0.0981 - acc: 0.9931 - val_loss: 0.4196 - val_acc: 0.9153
 789 Epoch 2894/5000
 790 80/80 - 32s 399ms/step - loss: 0.0960 - acc: 0.9937 - val_loss: 0.4029 - val_acc: 0.9210
 791 Epoch 2895/5000
 792 80/80 - 32s 399ms/step - loss: 0.0943 - acc: 0.9942 - val_loss: 0.4019 - val_acc: 0.9227
 793 Epoch 2896/5000
 794 80/80 - 32s 400ms/step - loss: 0.0972 - acc: 0.9936 - val_loss: 0.4055 - val_acc: 0.9214
 795 Epoch 2897/5000
 796 80/80 - 32s 400ms/step - loss: 0.0954 - acc: 0.9936 - val_loss: 0.4086 - val_acc: 0.9233
 797 Epoch 2898/5000
 798 80/80 - 32s 400ms/step - loss: 0.0970 - acc: 0.9931 - val_loss: 0.4137 - val_acc: 0.9195
 799 Epoch 2899/5000
 800 80/80 - 32s 399ms/step - loss: 0.0993 - acc: 0.9927 - val_loss: 0.3915 - val_acc: 0.9229
 801 Epoch 2900/5000
 802 80/80 - 32s 400ms/step - loss: 0.0993 - acc: 0.9928 - val_loss: 0.3793 - val_acc: 0.9265
 803 Epoch 2901/5000
 804 80/80 - 32s 399ms/step - loss: 0.0956 - acc: 0.9936 - val_loss: 0.3990 - val_acc: 0.9229
 805 Epoch 2902/5000
 806 80/80 - 32s 399ms/step - loss: 0.0976 - acc: 0.9929 - val_loss: 0.4090 - val_acc: 0.9201
 807 Epoch 2903/5000
 808 80/80 - 32s 400ms/step - loss: 0.0959 - acc: 0.9937 - val_loss: 0.4035 - val_acc: 0.9232
 809 Epoch 2904/5000
 810 80/80 - 32s 399ms/step - loss: 0.0982 - acc: 0.9930 - val_loss: 0.4085 - val_acc: 0.9210
 811 Epoch 2905/5000
 812 80/80 - 32s 401ms/step - loss: 0.0955 - acc: 0.9936 - val_loss: 0.4115 - val_acc: 0.9212
 813 Epoch 2906/5000
 814 80/80 - 32s 400ms/step - loss: 0.0993 - acc: 0.9926 - val_loss: 0.4004 - val_acc: 0.9202
 815 Epoch 2907/5000
 816 80/80 - 32s 399ms/step - loss: 0.0966 - acc: 0.9938 - val_loss: 0.3916 - val_acc: 0.9217
 817 Epoch 2908/5000
 818 80/80 - 32s 399ms/step - loss: 0.0946 - acc: 0.9940 - val_loss: 0.4052 - val_acc: 0.9215
 819 Epoch 2909/5000
 820 80/80 - 32s 400ms/step - loss: 0.0953 - acc: 0.9941 - val_loss: 0.4041 - val_acc: 0.9218
 821 Epoch 2910/5000
 822 80/80 - 32s 400ms/step - loss: 0.0957 - acc: 0.9938 - val_loss: 0.4080 - val_acc: 0.9225
 823 Epoch 2911/5000
 824 80/80 - 32s 400ms/step - loss: 0.0984 - acc: 0.9928 - val_loss: 0.4084 - val_acc: 0.9204
 825 Epoch 2912/5000
 826 80/80 - 32s 400ms/step - loss: 0.0957 - acc: 0.9937 - val_loss: 0.4140 - val_acc: 0.9189
 827 Epoch 2913/5000
 828 80/80 - 32s 400ms/step - loss: 0.0974 - acc: 0.9932 - val_loss: 0.3915 - val_acc: 0.9228
 829 Epoch 2914/5000
 830 80/80 - 32s 400ms/step - loss: 0.0968 - acc: 0.9939 - val_loss: 0.3995 - val_acc: 0.9218
 831 Epoch 2915/5000
 832 80/80 - 32s 400ms/step - loss: 0.0965 - acc: 0.9936 - val_loss: 0.4201 - val_acc: 0.9200
 833 Epoch 2916/5000
 834 80/80 - 32s 400ms/step - loss: 0.0967 - acc: 0.9937 - val_loss: 0.3995 - val_acc: 0.9223
 835 Epoch 2917/5000
 836 80/80 - 32s 400ms/step - loss: 0.0959 - acc: 0.9937 - val_loss: 0.4102 - val_acc: 0.9200
 837 Epoch 2918/5000
 838 80/80 - 32s 400ms/step - loss: 0.0955 - acc: 0.9939 - val_loss: 0.4134 - val_acc: 0.9197
 839 Epoch 2919/5000
 840 80/80 - 32s 400ms/step - loss: 0.0966 - acc: 0.9936 - val_loss: 0.4088 - val_acc: 0.9232
 841 Epoch 2920/5000
 842 80/80 - 32s 399ms/step - loss: 0.0969 - acc: 0.9930 - val_loss: 0.4175 - val_acc: 0.9202
 843 Epoch 2921/5000
 844 80/80 - 32s 399ms/step - loss: 0.0966 - acc: 0.9935 - val_loss: 0.4059 - val_acc: 0.9207
 845 Epoch 2922/5000
 846 80/80 - 32s 400ms/step - loss: 0.0983 - acc: 0.9927 - val_loss: 0.4131 - val_acc: 0.9187
 847 Epoch 2923/5000
 848 80/80 - 32s 400ms/step - loss: 0.0975 - acc: 0.9933 - val_loss: 0.4185 - val_acc: 0.9204
 849 Epoch 2924/5000
 850 80/80 - 32s 404ms/step - loss: 0.0952 - acc: 0.9938 - val_loss: 0.4081 - val_acc: 0.9242
 851 Epoch 2925/5000
 852 80/80 - 32s 400ms/step - loss: 0.0971 - acc: 0.9933 - val_loss: 0.4269 - val_acc: 0.9153
 853 Epoch 2926/5000
 854 80/80 - 32s 400ms/step - loss: 0.0981 - acc: 0.9926 - val_loss: 0.4256 - val_acc: 0.9169
 855 Epoch 2927/5000
 856 80/80 - 32s 400ms/step - loss: 0.0960 - acc: 0.9934 - val_loss: 0.4056 - val_acc: 0.9221
 857 Epoch 2928/5000
 858 80/80 - 32s 400ms/step - loss: 0.0971 - acc: 0.9932 - val_loss: 0.4175 - val_acc: 0.9180
 859 Epoch 2929/5000
 860 80/80 - 32s 400ms/step - loss: 0.0962 - acc: 0.9937 - val_loss: 0.4009 - val_acc: 0.9214
 861 Epoch 2930/5000
 862 80/80 - 32s 400ms/step - loss: 0.0960 - acc: 0.9935 - val_loss: 0.3967 - val_acc: 0.9223
 863 Epoch 2931/5000
 864 80/80 - 32s 400ms/step - loss: 0.0962 - acc: 0.9940 - val_loss: 0.4220 - val_acc: 0.9176
 865 Epoch 2932/5000
 866 80/80 - 32s 401ms/step - loss: 0.0975 - acc: 0.9928 - val_loss: 0.4027 - val_acc: 0.9214
 867 Epoch 2933/5000
 868 80/80 - 32s 400ms/step - loss: 0.0983 - acc: 0.9927 - val_loss: 0.4145 - val_acc: 0.9176
 869 Epoch 2934/5000
 870 80/80 - 32s 400ms/step - loss: 0.0943 - acc: 0.9946 - val_loss: 0.4156 - val_acc: 0.9179
 871 Epoch 2935/5000
 872 80/80 - 32s 400ms/step - loss: 0.0959 - acc: 0.9933 - val_loss: 0.4066 - val_acc: 0.9221
 873 Epoch 2936/5000
 874 80/80 - 32s 400ms/step - loss: 0.0967 - acc: 0.9934 - val_loss: 0.4068 - val_acc: 0.9212
 875 Epoch 2937/5000
 876 80/80 - 32s 400ms/step - loss: 0.0978 - acc: 0.9927 - val_loss: 0.4241 - val_acc: 0.9167
 877 Epoch 2938/5000
 878 80/80 - 32s 400ms/step - loss: 0.0980 - acc: 0.9931 - val_loss: 0.4394 - val_acc: 0.9145
 879 Epoch 2939/5000
 880 80/80 - 32s 400ms/step - loss: 0.0990 - acc: 0.9931 - val_loss: 0.4005 - val_acc: 0.9216
 881 Epoch 2940/5000
 882 80/80 - 32s 399ms/step - loss: 0.0986 - acc: 0.9927 - val_loss: 0.4044 - val_acc: 0.9193
 883 Epoch 2941/5000
 884 80/80 - 32s 400ms/step - loss: 0.0954 - acc: 0.9942 - val_loss: 0.4181 - val_acc: 0.9186
 885 Epoch 2942/5000
 886 80/80 - 32s 400ms/step - loss: 0.0958 - acc: 0.9937 - val_loss: 0.4147 - val_acc: 0.9203
 887 Epoch 2943/5000
 888 80/80 - 32s 399ms/step - loss: 0.0951 - acc: 0.9942 - val_loss: 0.4275 - val_acc: 0.9175
 889 Epoch 2944/5000
 890 80/80 - 32s 400ms/step - loss: 0.0939 - acc: 0.9944 - val_loss: 0.4291 - val_acc: 0.9166
 891 Epoch 2945/5000
 892 80/80 - 32s 400ms/step - loss: 0.0982 - acc: 0.9928 - val_loss: 0.4092 - val_acc: 0.9196
 893 Epoch 2946/5000
 894 80/80 - 32s 399ms/step - loss: 0.0978 - acc: 0.9932 - val_loss: 0.4252 - val_acc: 0.9205
 895 Epoch 2947/5000
 896 80/80 - 32s 400ms/step - loss: 0.0966 - acc: 0.9937 - val_loss: 0.4080 - val_acc: 0.9209
 897 Epoch 2948/5000
 898 80/80 - 32s 400ms/step - loss: 0.0977 - acc: 0.9930 - val_loss: 0.4041 - val_acc: 0.9204
 899 Epoch 2949/5000
 900 80/80 - 32s 399ms/step - loss: 0.0955 - acc: 0.9936 - val_loss: 0.4146 - val_acc: 0.9192
 901 Epoch 2950/5000
 902 80/80 - 32s 399ms/step - loss: 0.1007 - acc: 0.9920 - val_loss: 0.4123 - val_acc: 0.9200
 903 Epoch 2951/5000
 904 80/80 - 32s 399ms/step - loss: 0.0988 - acc: 0.9930 - val_loss: 0.4133 - val_acc: 0.9194
 905 Epoch 2952/5000
 906 80/80 - 32s 399ms/step - loss: 0.0972 - acc: 0.9929 - val_loss: 0.4094 - val_acc: 0.9190
 907 Epoch 2953/5000
 908 80/80 - 32s 400ms/step - loss: 0.0969 - acc: 0.9933 - val_loss: 0.3973 - val_acc: 0.9224
 909 Epoch 2954/5000
 910 80/80 - 32s 399ms/step - loss: 0.0951 - acc: 0.9938 - val_loss: 0.4130 - val_acc: 0.9218
 911 Epoch 2955/5000
 912 80/80 - 32s 400ms/step - loss: 0.0978 - acc: 0.9930 - val_loss: 0.4078 - val_acc: 0.9207
 913 Epoch 2956/5000
 914 80/80 - 32s 399ms/step - loss: 0.0967 - acc: 0.9937 - val_loss: 0.4102 - val_acc: 0.9188
 915 Epoch 2957/5000
 916 80/80 - 32s 400ms/step - loss: 0.1000 - acc: 0.9921 - val_loss: 0.4272 - val_acc: 0.9164
 917 Epoch 2958/5000
 918 80/80 - 32s 400ms/step - loss: 0.0979 - acc: 0.9932 - val_loss: 0.4090 - val_acc: 0.9187
 919 Epoch 2959/5000
 920 80/80 - 32s 400ms/step - loss: 0.0963 - acc: 0.9932 - val_loss: 0.4071 - val_acc: 0.9222
 921 Epoch 2960/5000
 922 80/80 - 32s 400ms/step - loss: 0.0958 - acc: 0.9940 - val_loss: 0.4108 - val_acc: 0.9208
 923 Epoch 2961/5000
 924 80/80 - 32s 399ms/step - loss: 0.0949 - acc: 0.9942 - val_loss: 0.4117 - val_acc: 0.9184
 925 Epoch 2962/5000
 926 80/80 - 32s 399ms/step - loss: 0.0939 - acc: 0.9948 - val_loss: 0.4099 - val_acc: 0.9209
 927 Epoch 2963/5000
 928 80/80 - 32s 400ms/step - loss: 0.0957 - acc: 0.9938 - val_loss: 0.4137 - val_acc: 0.9195
 929 Epoch 2964/5000
 930 80/80 - 32s 400ms/step - loss: 0.0970 - acc: 0.9934 - val_loss: 0.3981 - val_acc: 0.9202
 931 Epoch 2965/5000
 932 80/80 - 32s 399ms/step - loss: 0.0961 - acc: 0.9941 - val_loss: 0.4239 - val_acc: 0.9195
 933 Epoch 2966/5000
 934 80/80 - 32s 399ms/step - loss: 0.0958 - acc: 0.9939 - val_loss: 0.4232 - val_acc: 0.9203
 935 Epoch 2967/5000
 936 80/80 - 32s 400ms/step - loss: 0.0972 - acc: 0.9934 - val_loss: 0.4074 - val_acc: 0.9216
 937 Epoch 2968/5000
 938 80/80 - 32s 400ms/step - loss: 0.0953 - acc: 0.9936 - val_loss: 0.4118 - val_acc: 0.9193
 939 Epoch 2969/5000
 940 80/80 - 32s 399ms/step - loss: 0.0973 - acc: 0.9930 - val_loss: 0.4131 - val_acc: 0.9198
 941 Epoch 2970/5000
 942 80/80 - 32s 400ms/step - loss: 0.0958 - acc: 0.9940 - val_loss: 0.4189 - val_acc: 0.9160
 943 Epoch 2971/5000
 944 80/80 - 32s 400ms/step - loss: 0.0980 - acc: 0.9930 - val_loss: 0.4057 - val_acc: 0.9209
 945 Epoch 2972/5000
 946 80/80 - 32s 400ms/step - loss: 0.0961 - acc: 0.9931 - val_loss: 0.4205 - val_acc: 0.9179
 947 Epoch 2973/5000
 948 80/80 - 32s 399ms/step - loss: 0.0967 - acc: 0.9937 - val_loss: 0.4125 - val_acc: 0.9224
 949 Epoch 2974/5000
 950 80/80 - 32s 400ms/step - loss: 0.0972 - acc: 0.9934 - val_loss: 0.3937 - val_acc: 0.9228
 951 Epoch 2975/5000
 952 80/80 - 32s 399ms/step - loss: 0.0983 - acc: 0.9927 - val_loss: 0.4062 - val_acc: 0.9212
 953 Epoch 2976/5000
 954 80/80 - 32s 399ms/step - loss: 0.0957 - acc: 0.9937 - val_loss: 0.4155 - val_acc: 0.9193
 955 Epoch 2977/5000
 956 80/80 - 32s 400ms/step - loss: 0.0947 - acc: 0.9940 - val_loss: 0.4231 - val_acc: 0.9165
 957 Epoch 2978/5000
 958 80/80 - 32s 400ms/step - loss: 0.0957 - acc: 0.9934 - val_loss: 0.4168 - val_acc: 0.9203
 959 Epoch 2979/5000
 960 80/80 - 32s 400ms/step - loss: 0.0962 - acc: 0.9938 - val_loss: 0.3969 - val_acc: 0.9249
 961 Epoch 2980/5000
 962 80/80 - 32s 400ms/step - loss: 0.0966 - acc: 0.9933 - val_loss: 0.4029 - val_acc: 0.9222
 963 Epoch 2981/5000
 964 80/80 - 32s 400ms/step - loss: 0.0958 - acc: 0.9936 - val_loss: 0.4147 - val_acc: 0.9203
 965 Epoch 2982/5000
 966 80/80 - 32s 400ms/step - loss: 0.0953 - acc: 0.9937 - val_loss: 0.4105 - val_acc: 0.9237
 967 Epoch 2983/5000
 968 80/80 - 32s 400ms/step - loss: 0.0978 - acc: 0.9933 - val_loss: 0.4073 - val_acc: 0.9219
 969 Epoch 2984/5000
 970 80/80 - 32s 399ms/step - loss: 0.0992 - acc: 0.9927 - val_loss: 0.4007 - val_acc: 0.9206
 971 Epoch 2985/5000
 972 80/80 - 32s 400ms/step - loss: 0.0979 - acc: 0.9926 - val_loss: 0.3869 - val_acc: 0.9237
 973 Epoch 2986/5000
 974 80/80 - 32s 399ms/step - loss: 0.0965 - acc: 0.9934 - val_loss: 0.4219 - val_acc: 0.9190
 975 Epoch 2987/5000
 976 80/80 - 32s 399ms/step - loss: 0.0957 - acc: 0.9937 - val_loss: 0.4208 - val_acc: 0.9186
 977 Epoch 2988/5000
 978 80/80 - 32s 399ms/step - loss: 0.0973 - acc: 0.9932 - val_loss: 0.4147 - val_acc: 0.9178
 979 Epoch 2989/5000
 980 80/80 - 32s 399ms/step - loss: 0.0952 - acc: 0.9937 - val_loss: 0.4166 - val_acc: 0.9193
 981 Epoch 2990/5000
 982 80/80 - 32s 400ms/step - loss: 0.0975 - acc: 0.9930 - val_loss: 0.4258 - val_acc: 0.9171
 983 Epoch 2991/5000
 984 80/80 - 32s 399ms/step - loss: 0.0943 - acc: 0.9941 - val_loss: 0.4181 - val_acc: 0.9171
 985 Epoch 2992/5000
 986 80/80 - 32s 400ms/step - loss: 0.0953 - acc: 0.9939 - val_loss: 0.4198 - val_acc: 0.9200
 987 Epoch 2993/5000
 988 80/80 - 32s 399ms/step - loss: 0.0972 - acc: 0.9930 - val_loss: 0.4107 - val_acc: 0.9197
 989 Epoch 2994/5000
 990 80/80 - 32s 399ms/step - loss: 0.0968 - acc: 0.9933 - val_loss: 0.4157 - val_acc: 0.9169
 991 Epoch 2995/5000
 992 80/80 - 32s 399ms/step - loss: 0.0942 - acc: 0.9946 - val_loss: 0.4168 - val_acc: 0.9182
 993 Epoch 2996/5000
 994 80/80 - 32s 400ms/step - loss: 0.0985 - acc: 0.9928 - val_loss: 0.3975 - val_acc: 0.9207
 995 Epoch 2997/5000
 996 80/80 - 32s 399ms/step - loss: 0.0959 - acc: 0.9935 - val_loss: 0.3998 - val_acc: 0.9207
 997 Epoch 2998/5000
 998 80/80 - 32s 400ms/step - loss: 0.0964 - acc: 0.9934 - val_loss: 0.4053 - val_acc: 0.9188
 999 Epoch 2999/5000
1000 80/80 - 32s 400ms/step - loss: 0.0964 - acc: 0.9937 - val_loss: 0.4064 - val_acc: 0.9224
1001 Epoch 3000/5000
1002 80/80 - 32s 400ms/step - loss: 0.0980 - acc: 0.9927 - val_loss: 0.3968 - val_acc: 0.9236
1003 Epoch 3001/5000
1004 lr changed to 0.0009999999776482583
1005 80/80 - 32s 400ms/step - loss: 0.0968 - acc: 0.9934 - val_loss: 0.3838 - val_acc: 0.9253
1006 Epoch 3002/5000
1007 80/80 - 32s 400ms/step - loss: 0.0884 - acc: 0.9963 - val_loss: 0.3789 - val_acc: 0.9271
1008 Epoch 3003/5000
1009 80/80 - 32s 400ms/step - loss: 0.0875 - acc: 0.9969 - val_loss: 0.3780 - val_acc: 0.9271
1010 Epoch 3004/5000
1011 80/80 - 32s 400ms/step - loss: 0.0847 - acc: 0.9976 - val_loss: 0.3759 - val_acc: 0.9278
1012 Epoch 3005/5000
1013 80/80 - 32s 400ms/step - loss: 0.0851 - acc: 0.9976 - val_loss: 0.3754 - val_acc: 0.9282
1014 Epoch 3006/5000
1015 80/80 - 32s 400ms/step - loss: 0.0834 - acc: 0.9981 - val_loss: 0.3740 - val_acc: 0.9288
1016 Epoch 3007/5000
1017 80/80 - 32s 400ms/step - loss: 0.0830 - acc: 0.9982 - val_loss: 0.3733 - val_acc: 0.9300
1018 Epoch 3008/5000
1019 80/80 - 32s 399ms/step - loss: 0.0831 - acc: 0.9982 - val_loss: 0.3756 - val_acc: 0.9301
1020 Epoch 3009/5000
1021 80/80 - 32s 400ms/step - loss: 0.0821 - acc: 0.9984 - val_loss: 0.3762 - val_acc: 0.9308
1022 Epoch 3010/5000
1023 80/80 - 32s 399ms/step - loss: 0.0824 - acc: 0.9982 - val_loss: 0.3773 - val_acc: 0.9300
1024 Epoch 3011/5000
1025 80/80 - 32s 400ms/step - loss: 0.0818 - acc: 0.9984 - val_loss: 0.3797 - val_acc: 0.9299
1026 Epoch 3012/5000
1027 80/80 - 32s 400ms/step - loss: 0.0821 - acc: 0.9985 - val_loss: 0.3804 - val_acc: 0.9294
1028 Epoch 3013/5000
1029 80/80 - 32s 400ms/step - loss: 0.0812 - acc: 0.9988 - val_loss: 0.3811 - val_acc: 0.9288
1030 Epoch 3014/5000
1031 80/80 - 32s 400ms/step - loss: 0.0819 - acc: 0.9984 - val_loss: 0.3810 - val_acc: 0.9300
1032 Epoch 3015/5000
1033 80/80 - 32s 400ms/step - loss: 0.0812 - acc: 0.9987 - val_loss: 0.3800 - val_acc: 0.9302
1034 Epoch 3016/5000
1035 80/80 - 32s 400ms/step - loss: 0.0813 - acc: 0.9989 - val_loss: 0.3814 - val_acc: 0.9299
1036 Epoch 3017/5000
1037 80/80 - 32s 400ms/step - loss: 0.0811 - acc: 0.9988 - val_loss: 0.3826 - val_acc: 0.9297
1038 Epoch 3018/5000
1039 80/80 - 32s 400ms/step - loss: 0.0807 - acc: 0.9988 - val_loss: 0.3823 - val_acc: 0.9307
1040 Epoch 3019/5000
1041 80/80 - 32s 400ms/step - loss: 0.0808 - acc: 0.9987 - val_loss: 0.3813 - val_acc: 0.9305
1042 Epoch 3020/5000
1043 80/80 - 32s 400ms/step - loss: 0.0810 - acc: 0.9988 - val_loss: 0.3836 - val_acc: 0.9296
1044 Epoch 3021/5000
1045 80/80 - 32s 400ms/step - loss: 0.0809 - acc: 0.9987 - val_loss: 0.3835 - val_acc: 0.9307
1046 Epoch 3022/5000
1047 80/80 - 32s 400ms/step - loss: 0.0803 - acc: 0.9988 - val_loss: 0.3824 - val_acc: 0.9301
1048 Epoch 3023/5000
1049 80/80 - 32s 399ms/step - loss: 0.0807 - acc: 0.9989 - val_loss: 0.3825 - val_acc: 0.9303
1050 Epoch 3024/5000
1051 80/80 - 32s 404ms/step - loss: 0.0802 - acc: 0.9990 - val_loss: 0.3835 - val_acc: 0.9301
1052 Epoch 3025/5000
1053 80/80 - 32s 400ms/step - loss: 0.0801 - acc: 0.9989 - val_loss: 0.3835 - val_acc: 0.9294
1054 Epoch 3026/5000
1055 80/80 - 32s 400ms/step - loss: 0.0806 - acc: 0.9986 - val_loss: 0.3824 - val_acc: 0.9306
1056 Epoch 3027/5000
1057 80/80 - 32s 400ms/step - loss: 0.0805 - acc: 0.9989 - val_loss: 0.3806 - val_acc: 0.9304
1058 Epoch 3028/5000
1059 80/80 - 32s 400ms/step - loss: 0.0799 - acc: 0.9991 - val_loss: 0.3837 - val_acc: 0.9303
1060 Epoch 3029/5000
1061 80/80 - 32s 400ms/step - loss: 0.0799 - acc: 0.9990 - val_loss: 0.3835 - val_acc: 0.9302
1062 Epoch 3030/5000
1063 80/80 - 32s 400ms/step - loss: 0.0795 - acc: 0.9991 - val_loss: 0.3831 - val_acc: 0.9312
1064 Epoch 3031/5000
1065 80/80 - 32s 400ms/step - loss: 0.0803 - acc: 0.9989 - val_loss: 0.3833 - val_acc: 0.9312
1066 Epoch 3032/5000
1067 80/80 - 32s 401ms/step - loss: 0.0803 - acc: 0.9989 - val_loss: 0.3868 - val_acc: 0.9298
1068 Epoch 3033/5000
1069 80/80 - 32s 400ms/step - loss: 0.0792 - acc: 0.9991 - val_loss: 0.3878 - val_acc: 0.9300
1070 Epoch 3034/5000
1071 80/80 - 32s 400ms/step - loss: 0.0795 - acc: 0.9990 - val_loss: 0.3866 - val_acc: 0.9302
1072 Epoch 3035/5000
1073 80/80 - 32s 400ms/step - loss: 0.0801 - acc: 0.9988 - val_loss: 0.3845 - val_acc: 0.9308
1074 Epoch 3036/5000
1075 80/80 - 32s 400ms/step - loss: 0.0791 - acc: 0.9993 - val_loss: 0.3815 - val_acc: 0.9313
1076 Epoch 3037/5000
1077 80/80 - 32s 400ms/step - loss: 0.0790 - acc: 0.9992 - val_loss: 0.3807 - val_acc: 0.9312
1078 Epoch 3038/5000
1079 80/80 - 32s 400ms/step - loss: 0.0797 - acc: 0.9990 - val_loss: 0.3808 - val_acc: 0.9317
1080 Epoch 3039/5000
1081 80/80 - 32s 400ms/step - loss: 0.0795 - acc: 0.9991 - val_loss: 0.3818 - val_acc: 0.9311
1082 Epoch 3040/5000
1083 80/80 - 32s 400ms/step - loss: 0.0794 - acc: 0.9990 - val_loss: 0.3828 - val_acc: 0.9319
1084 Epoch 3041/5000
1085 80/80 - 32s 400ms/step - loss: 0.0797 - acc: 0.9988 - val_loss: 0.3847 - val_acc: 0.9315
1086 Epoch 3042/5000
1087 80/80 - 32s 399ms/step - loss: 0.0792 - acc: 0.9991 - val_loss: 0.3845 - val_acc: 0.9312
1088 Epoch 3043/5000
1089 80/80 - 32s 400ms/step - loss: 0.0790 - acc: 0.9992 - val_loss: 0.3861 - val_acc: 0.9310
1090 Epoch 3044/5000
1091 80/80 - 32s 400ms/step - loss: 0.0791 - acc: 0.9990 - val_loss: 0.3872 - val_acc: 0.9309
1092 Epoch 3045/5000
1093 80/80 - 32s 399ms/step - loss: 0.0799 - acc: 0.9988 - val_loss: 0.3869 - val_acc: 0.9317
1094 Epoch 3046/5000
1095 80/80 - 32s 398ms/step - loss: 0.0791 - acc: 0.9991 - val_loss: 0.3870 - val_acc: 0.9324
1096 Epoch 3047/5000
1097 80/80 - 32s 399ms/step - loss: 0.0789 - acc: 0.9992 - val_loss: 0.3876 - val_acc: 0.9326
1098 Epoch 3048/5000
1099 80/80 - 32s 400ms/step - loss: 0.0787 - acc: 0.9991 - val_loss: 0.3884 - val_acc: 0.9321
1100 Epoch 3049/5000
1101 80/80 - 32s 400ms/step - loss: 0.0786 - acc: 0.9993 - val_loss: 0.3874 - val_acc: 0.9322
1102 Epoch 3050/5000
1103 80/80 - 32s 400ms/step - loss: 0.0789 - acc: 0.9991 - val_loss: 0.3894 - val_acc: 0.9316
1104 Epoch 3051/5000
1105 80/80 - 32s 400ms/step - loss: 0.0791 - acc: 0.9992 - val_loss: 0.3875 - val_acc: 0.9311
1106 Epoch 3052/5000
1107 80/80 - 32s 399ms/step - loss: 0.0787 - acc: 0.9991 - val_loss: 0.3849 - val_acc: 0.9318
1108 Epoch 3053/5000
1109 80/80 - 32s 399ms/step - loss: 0.0787 - acc: 0.9991 - val_loss: 0.3865 - val_acc: 0.9325
1110 Epoch 3054/5000
1111 80/80 - 32s 400ms/step - loss: 0.0785 - acc: 0.9992 - val_loss: 0.3880 - val_acc: 0.9316
1112 Epoch 3055/5000
1113 80/80 - 32s 399ms/step - loss: 0.0782 - acc: 0.9994 - val_loss: 0.3899 - val_acc: 0.9322
1114 Epoch 3056/5000
1115 80/80 - 32s 400ms/step - loss: 0.0787 - acc: 0.9991 - val_loss: 0.3896 - val_acc: 0.9315
1116 Epoch 3057/5000
1117 80/80 - 32s 399ms/step - loss: 0.0783 - acc: 0.9992 - val_loss: 0.3895 - val_acc: 0.9322
1118 Epoch 3058/5000
1119 80/80 - 32s 400ms/step - loss: 0.0781 - acc: 0.9994 - val_loss: 0.3903 - val_acc: 0.9310
1120 Epoch 3059/5000
1121 80/80 - 32s 399ms/step - loss: 0.0785 - acc: 0.9991 - val_loss: 0.3909 - val_acc: 0.9315
1122 Epoch 3060/5000
1123 80/80 - 32s 399ms/step - loss: 0.0785 - acc: 0.9991 - val_loss: 0.3904 - val_acc: 0.9320
1124 Epoch 3061/5000
1125 80/80 - 32s 400ms/step - loss: 0.0783 - acc: 0.9992 - val_loss: 0.3901 - val_acc: 0.9324
1126 Epoch 3062/5000
1127 80/80 - 32s 399ms/step - loss: 0.0779 - acc: 0.9995 - val_loss: 0.3888 - val_acc: 0.9322
1128 Epoch 3063/5000
1129 80/80 - 32s 400ms/step - loss: 0.0783 - acc: 0.9993 - val_loss: 0.3861 - val_acc: 0.9325
1130 Epoch 3064/5000
1131 80/80 - 32s 400ms/step - loss: 0.0779 - acc: 0.9993 - val_loss: 0.3867 - val_acc: 0.9321
1132 Epoch 3065/5000
1133 80/80 - 32s 399ms/step - loss: 0.0781 - acc: 0.9993 - val_loss: 0.3863 - val_acc: 0.9322
1134 Epoch 3066/5000
1135 80/80 - 32s 400ms/step - loss: 0.0785 - acc: 0.9991 - val_loss: 0.3847 - val_acc: 0.9322
1136 Epoch 3067/5000
1137 80/80 - 32s 399ms/step - loss: 0.0785 - acc: 0.9991 - val_loss: 0.3853 - val_acc: 0.9319
1138 Epoch 3068/5000
1139 80/80 - 32s 400ms/step - loss: 0.0778 - acc: 0.9993 - val_loss: 0.3843 - val_acc: 0.9317
1140 Epoch 3069/5000
1141 80/80 - 32s 399ms/step - loss: 0.0780 - acc: 0.9993 - val_loss: 0.3830 - val_acc: 0.9318
1142 Epoch 3070/5000
1143 80/80 - 32s 400ms/step - loss: 0.0780 - acc: 0.9993 - val_loss: 0.3841 - val_acc: 0.9317
1144 Epoch 3071/5000
1145 80/80 - 32s 400ms/step - loss: 0.0777 - acc: 0.9994 - val_loss: 0.3858 - val_acc: 0.9317
1146 Epoch 3072/5000
1147 80/80 - 32s 399ms/step - loss: 0.0780 - acc: 0.9990 - val_loss: 0.3869 - val_acc: 0.9318
1148 Epoch 3073/5000
1149 80/80 - 32s 399ms/step - loss: 0.0783 - acc: 0.9991 - val_loss: 0.3884 - val_acc: 0.9320
1150 Epoch 3074/5000
1151 80/80 - 32s 400ms/step - loss: 0.0776 - acc: 0.9994 - val_loss: 0.3898 - val_acc: 0.9320
1152 Epoch 3075/5000
1153 80/80 - 32s 399ms/step - loss: 0.0777 - acc: 0.9994 - val_loss: 0.3903 - val_acc: 0.9321
1154 Epoch 3076/5000
1155 80/80 - 32s 399ms/step - loss: 0.0784 - acc: 0.9992 - val_loss: 0.3896 - val_acc: 0.9320
1156 Epoch 3077/5000
1157 80/80 - 32s 400ms/step - loss: 0.0774 - acc: 0.9993 - val_loss: 0.3913 - val_acc: 0.9311
1158 Epoch 3078/5000
1159 80/80 - 32s 403ms/step - loss: 0.0776 - acc: 0.9994 - val_loss: 0.3905 - val_acc: 0.9317
1160 Epoch 3079/5000
1161 80/80 - 32s 400ms/step - loss: 0.0779 - acc: 0.9991 - val_loss: 0.3911 - val_acc: 0.9309
1162 Epoch 3080/5000
1163 80/80 - 32s 399ms/step - loss: 0.0780 - acc: 0.9991 - val_loss: 0.3926 - val_acc: 0.9318
1164 Epoch 3081/5000
1165 80/80 - 32s 400ms/step - loss: 0.0779 - acc: 0.9991 - val_loss: 0.3899 - val_acc: 0.9317
1166 Epoch 3082/5000
1167 80/80 - 32s 400ms/step - loss: 0.0775 - acc: 0.9994 - val_loss: 0.3904 - val_acc: 0.9313
1168 Epoch 3083/5000
1169 80/80 - 32s 400ms/step - loss: 0.0774 - acc: 0.9993 - val_loss: 0.3914 - val_acc: 0.9317
1170 Epoch 3084/5000
1171 80/80 - 32s 400ms/step - loss: 0.0780 - acc: 0.9991 - val_loss: 0.3894 - val_acc: 0.9310
1172 Epoch 3085/5000
1173 80/80 - 32s 400ms/step - loss: 0.0771 - acc: 0.9995 - val_loss: 0.3894 - val_acc: 0.9316
1174 Epoch 3086/5000
1175 80/80 - 32s 400ms/step - loss: 0.0774 - acc: 0.9993 - val_loss: 0.3907 - val_acc: 0.9314
1176 Epoch 3087/5000
1177 80/80 - 32s 400ms/step - loss: 0.0773 - acc: 0.9993 - val_loss: 0.3931 - val_acc: 0.9309
1178 Epoch 3088/5000
1179 80/80 - 32s 400ms/step - loss: 0.0768 - acc: 0.9996 - val_loss: 0.3946 - val_acc: 0.9305
1180 Epoch 3089/5000
1181 80/80 - 32s 399ms/step - loss: 0.0772 - acc: 0.9994 - val_loss: 0.3949 - val_acc: 0.9299
1182 Epoch 3090/5000
1183 80/80 - 32s 400ms/step - loss: 0.0776 - acc: 0.9993 - val_loss: 0.3971 - val_acc: 0.9312
1184 Epoch 3091/5000
1185 80/80 - 32s 400ms/step - loss: 0.0771 - acc: 0.9995 - val_loss: 0.3960 - val_acc: 0.9310
1186 Epoch 3092/5000
1187 80/80 - 32s 400ms/step - loss: 0.0773 - acc: 0.9994 - val_loss: 0.3976 - val_acc: 0.9300
1188 Epoch 3093/5000
1189 80/80 - 32s 400ms/step - loss: 0.0773 - acc: 0.9993 - val_loss: 0.3980 - val_acc: 0.9296
1190 Epoch 3094/5000
1191 80/80 - 32s 400ms/step - loss: 0.0772 - acc: 0.9994 - val_loss: 0.3988 - val_acc: 0.9306
1192 Epoch 3095/5000
1193 80/80 - 32s 400ms/step - loss: 0.0772 - acc: 0.9993 - val_loss: 0.4012 - val_acc: 0.9295
1194 Epoch 3096/5000
1195 80/80 - 32s 400ms/step - loss: 0.0768 - acc: 0.9995 - val_loss: 0.3996 - val_acc: 0.9296
1196 Epoch 3097/5000
1197 80/80 - 32s 400ms/step - loss: 0.0773 - acc: 0.9993 - val_loss: 0.3985 - val_acc: 0.9294
1198 Epoch 3098/5000
1199 80/80 - 32s 401ms/step - loss: 0.0773 - acc: 0.9993 - val_loss: 0.3982 - val_acc: 0.9299
1200 Epoch 3099/5000
1201 80/80 - 32s 400ms/step - loss: 0.0774 - acc: 0.9992 - val_loss: 0.3972 - val_acc: 0.9299
1202 Epoch 3100/5000
1203 80/80 - 32s 400ms/step - loss: 0.0771 - acc: 0.9994 - val_loss: 0.3970 - val_acc: 0.9306
1204 Epoch 3101/5000
1205 80/80 - 32s 400ms/step - loss: 0.0771 - acc: 0.9993 - val_loss: 0.3939 - val_acc: 0.9304
1206 Epoch 3102/5000
1207 80/80 - 32s 400ms/step - loss: 0.0772 - acc: 0.9994 - val_loss: 0.3938 - val_acc: 0.9311
1208 Epoch 3103/5000
1209 80/80 - 32s 400ms/step - loss: 0.0770 - acc: 0.9993 - val_loss: 0.3923 - val_acc: 0.9308
1210 Epoch 3104/5000
1211 80/80 - 32s 400ms/step - loss: 0.0768 - acc: 0.9993 - val_loss: 0.3923 - val_acc: 0.9313
1212 Epoch 3105/5000
1213 80/80 - 32s 400ms/step - loss: 0.0771 - acc: 0.9993 - val_loss: 0.3946 - val_acc: 0.9304
1214 Epoch 3106/5000
1215 80/80 - 32s 399ms/step - loss: 0.0766 - acc: 0.9995 - val_loss: 0.3959 - val_acc: 0.9296
1216 Epoch 3107/5000
1217 80/80 - 32s 399ms/step - loss: 0.0774 - acc: 0.9990 - val_loss: 0.3940 - val_acc: 0.9304
1218 Epoch 3108/5000
1219 80/80 - 32s 399ms/step - loss: 0.0767 - acc: 0.9994 - val_loss: 0.3944 - val_acc: 0.9307
1220 Epoch 3109/5000
1221 80/80 - 32s 399ms/step - loss: 0.0771 - acc: 0.9992 - val_loss: 0.3942 - val_acc: 0.9296
1222 Epoch 3110/5000
1223 80/80 - 32s 400ms/step - loss: 0.0760 - acc: 0.9996 - val_loss: 0.3949 - val_acc: 0.9303
1224 Epoch 3111/5000
1225 80/80 - 32s 399ms/step - loss: 0.0767 - acc: 0.9994 - val_loss: 0.3933 - val_acc: 0.9306
1226 Epoch 3112/5000
1227 80/80 - 32s 399ms/step - loss: 0.0768 - acc: 0.9993 - val_loss: 0.3945 - val_acc: 0.9310
1228 Epoch 3113/5000
1229 80/80 - 32s 399ms/step - loss: 0.0768 - acc: 0.9993 - val_loss: 0.3940 - val_acc: 0.9314
1230 Epoch 3114/5000
1231 80/80 - 32s 399ms/step - loss: 0.0773 - acc: 0.9993 - val_loss: 0.3902 - val_acc: 0.9315
1232 Epoch 3115/5000
1233 80/80 - 32s 399ms/step - loss: 0.0763 - acc: 0.9995 - val_loss: 0.3896 - val_acc: 0.9325
1234 Epoch 3116/5000
1235 80/80 - 32s 400ms/step - loss: 0.0763 - acc: 0.9995 - val_loss: 0.3923 - val_acc: 0.9328
1236 Epoch 3117/5000
1237 80/80 - 32s 400ms/step - loss: 0.0764 - acc: 0.9994 - val_loss: 0.3917 - val_acc: 0.9330
1238 Epoch 3118/5000
1239 80/80 - 32s 400ms/step - loss: 0.0768 - acc: 0.9994 - val_loss: 0.3927 - val_acc: 0.9325
1240 Epoch 3119/5000
1241 80/80 - 32s 400ms/step - loss: 0.0763 - acc: 0.9994 - val_loss: 0.3945 - val_acc: 0.9310
1242 Epoch 3120/5000
1243 80/80 - 32s 399ms/step - loss: 0.0771 - acc: 0.9993 - val_loss: 0.3959 - val_acc: 0.9309
1244 Epoch 3121/5000
1245 80/80 - 32s 399ms/step - loss: 0.0767 - acc: 0.9994 - val_loss: 0.3965 - val_acc: 0.9311
1246 Epoch 3122/5000
1247 80/80 - 32s 399ms/step - loss: 0.0766 - acc: 0.9994 - val_loss: 0.3950 - val_acc: 0.9312
1248 Epoch 3123/5000
1249 80/80 - 32s 400ms/step - loss: 0.0764 - acc: 0.9994 - val_loss: 0.3932 - val_acc: 0.9316
1250 Epoch 3124/5000
1251 80/80 - 32s 400ms/step - loss: 0.0764 - acc: 0.9994 - val_loss: 0.3934 - val_acc: 0.9309
1252 Epoch 3125/5000
1253 80/80 - 32s 400ms/step - loss: 0.0767 - acc: 0.9994 - val_loss: 0.3906 - val_acc: 0.9316
1254 Epoch 3126/5000
1255 80/80 - 32s 400ms/step - loss: 0.0762 - acc: 0.9995 - val_loss: 0.3904 - val_acc: 0.9318
1256 Epoch 3127/5000
1257 80/80 - 32s 399ms/step - loss: 0.0762 - acc: 0.9994 - val_loss: 0.3919 - val_acc: 0.9312
1258 Epoch 3128/5000
1259 80/80 - 32s 399ms/step - loss: 0.0764 - acc: 0.9993 - val_loss: 0.3937 - val_acc: 0.9309
1260 Epoch 3129/5000
1261 80/80 - 32s 400ms/step - loss: 0.0762 - acc: 0.9995 - val_loss: 0.3957 - val_acc: 0.9301
1262 Epoch 3130/5000
1263 80/80 - 32s 400ms/step - loss: 0.0765 - acc: 0.9992 - val_loss: 0.3955 - val_acc: 0.9303
1264 Epoch 3131/5000
1265 80/80 - 32s 399ms/step - loss: 0.0764 - acc: 0.9993 - val_loss: 0.3974 - val_acc: 0.9298
1266 Epoch 3132/5000
1267 80/80 - 32s 400ms/step - loss: 0.0764 - acc: 0.9993 - val_loss: 0.3986 - val_acc: 0.9291
1268 Epoch 3133/5000
1269 80/80 - 32s 400ms/step - loss: 0.0759 - acc: 0.9995 - val_loss: 0.3973 - val_acc: 0.9287
1270 Epoch 3134/5000
1271 80/80 - 32s 399ms/step - loss: 0.0761 - acc: 0.9994 - val_loss: 0.3968 - val_acc: 0.9302
1272 Epoch 3135/5000
1273 80/80 - 32s 399ms/step - loss: 0.0761 - acc: 0.9994 - val_loss: 0.3973 - val_acc: 0.9292
1274 Epoch 3136/5000
1275 80/80 - 32s 399ms/step - loss: 0.0761 - acc: 0.9994 - val_loss: 0.3970 - val_acc: 0.9290
1276 Epoch 3137/5000
1277 80/80 - 32s 399ms/step - loss: 0.0763 - acc: 0.9994 - val_loss: 0.3973 - val_acc: 0.9297
1278 Epoch 3138/5000
1279 80/80 - 32s 399ms/step - loss: 0.0763 - acc: 0.9994 - val_loss: 0.3962 - val_acc: 0.9303
1280 Epoch 3139/5000
1281 80/80 - 32s 400ms/step - loss: 0.0763 - acc: 0.9992 - val_loss: 0.3953 - val_acc: 0.9309
1282 Epoch 3140/5000
1283 80/80 - 32s 399ms/step - loss: 0.0758 - acc: 0.9995 - val_loss: 0.3926 - val_acc: 0.9303
1284 Epoch 3141/5000
1285 80/80 - 32s 400ms/step - loss: 0.0759 - acc: 0.9995 - val_loss: 0.3940 - val_acc: 0.9301
1286 Epoch 3142/5000
1287 80/80 - 32s 399ms/step - loss: 0.0758 - acc: 0.9995 - val_loss: 0.3931 - val_acc: 0.9302
1288 Epoch 3143/5000
1289 80/80 - 32s 400ms/step - loss: 0.0756 - acc: 0.9996 - val_loss: 0.3921 - val_acc: 0.9316
1290 Epoch 3144/5000
1291 80/80 - 32s 399ms/step - loss: 0.0759 - acc: 0.9994 - val_loss: 0.3920 - val_acc: 0.9309
1292 Epoch 3145/5000
1293 80/80 - 32s 400ms/step - loss: 0.0759 - acc: 0.9994 - val_loss: 0.3914 - val_acc: 0.9314
1294 Epoch 3146/5000
1295 80/80 - 32s 400ms/step - loss: 0.0763 - acc: 0.9994 - val_loss: 0.3898 - val_acc: 0.9307
1296 Epoch 3147/5000
1297 80/80 - 32s 400ms/step - loss: 0.0759 - acc: 0.9994 - val_loss: 0.3891 - val_acc: 0.9314
1298 Epoch 3148/5000
1299 80/80 - 32s 400ms/step - loss: 0.0757 - acc: 0.9996 - val_loss: 0.3904 - val_acc: 0.9313
1300 Epoch 3149/5000
1301 80/80 - 32s 400ms/step - loss: 0.0763 - acc: 0.9992 - val_loss: 0.3872 - val_acc: 0.9326
1302 Epoch 3150/5000
1303 80/80 - 32s 400ms/step - loss: 0.0755 - acc: 0.9995 - val_loss: 0.3876 - val_acc: 0.9323
1304 Epoch 3151/5000
1305 80/80 - 32s 400ms/step - loss: 0.0759 - acc: 0.9994 - val_loss: 0.3885 - val_acc: 0.9327
1306 Epoch 3152/5000
1307 80/80 - 32s 400ms/step - loss: 0.0757 - acc: 0.9994 - val_loss: 0.3878 - val_acc: 0.9334
1308 Epoch 3153/5000
1309 80/80 - 32s 399ms/step - loss: 0.0758 - acc: 0.9993 - val_loss: 0.3888 - val_acc: 0.9327
1310 Epoch 3154/5000
1311 80/80 - 32s 399ms/step - loss: 0.0761 - acc: 0.9993 - val_loss: 0.3887 - val_acc: 0.9323
1312 Epoch 3155/5000
1313 80/80 - 32s 400ms/step - loss: 0.0755 - acc: 0.9995 - val_loss: 0.3883 - val_acc: 0.9321
1314 Epoch 3156/5000
1315 80/80 - 32s 400ms/step - loss: 0.0758 - acc: 0.9993 - val_loss: 0.3893 - val_acc: 0.9317
1316 Epoch 3157/5000
1317 80/80 - 32s 399ms/step - loss: 0.0756 - acc: 0.9994 - val_loss: 0.3908 - val_acc: 0.9322
1318 Epoch 3158/5000
1319 80/80 - 32s 399ms/step - loss: 0.0755 - acc: 0.9995 - val_loss: 0.3883 - val_acc: 0.9318
1320 Epoch 3159/5000
1321 80/80 - 32s 399ms/step - loss: 0.0758 - acc: 0.9994 - val_loss: 0.3882 - val_acc: 0.9328
1322 Epoch 3160/5000
1323 80/80 - 32s 399ms/step - loss: 0.0753 - acc: 0.9995 - val_loss: 0.3875 - val_acc: 0.9339
1324 Epoch 3161/5000
1325 80/80 - 32s 399ms/step - loss: 0.0754 - acc: 0.9994 - val_loss: 0.3880 - val_acc: 0.9326
1326 Epoch 3162/5000
1327 80/80 - 32s 400ms/step - loss: 0.0756 - acc: 0.9994 - val_loss: 0.3889 - val_acc: 0.9332
1328 Epoch 3163/5000
1329 80/80 - 32s 400ms/step - loss: 0.0755 - acc: 0.9993 - val_loss: 0.3869 - val_acc: 0.9335
1330 Epoch 3164/5000
1331 80/80 - 32s 399ms/step - loss: 0.0752 - acc: 0.9996 - val_loss: 0.3874 - val_acc: 0.9337
1332 Epoch 3165/5000
1333 80/80 - 32s 399ms/step - loss: 0.0752 - acc: 0.9995 - val_loss: 0.3903 - val_acc: 0.9327
1334 Epoch 3166/5000
1335 80/80 - 32s 399ms/step - loss: 0.0757 - acc: 0.9995 - val_loss: 0.3930 - val_acc: 0.9327
1336 Epoch 3167/5000
1337 80/80 - 32s 399ms/step - loss: 0.0755 - acc: 0.9994 - val_loss: 0.3949 - val_acc: 0.9322
1338 Epoch 3168/5000
1339 80/80 - 32s 400ms/step - loss: 0.0755 - acc: 0.9995 - val_loss: 0.3950 - val_acc: 0.9314
1340 Epoch 3169/5000
1341 80/80 - 32s 400ms/step - loss: 0.0752 - acc: 0.9994 - val_loss: 0.3953 - val_acc: 0.9314
1342 Epoch 3170/5000
1343 80/80 - 32s 399ms/step - loss: 0.0754 - acc: 0.9994 - val_loss: 0.3951 - val_acc: 0.9320
1344 Epoch 3171/5000
1345 80/80 - 32s 399ms/step - loss: 0.0747 - acc: 0.9996 - val_loss: 0.3974 - val_acc: 0.9306
1346 Epoch 3172/5000
1347 80/80 - 32s 399ms/step - loss: 0.0756 - acc: 0.9994 - val_loss: 0.3972 - val_acc: 0.9312
1348 Epoch 3173/5000
1349 80/80 - 32s 399ms/step - loss: 0.0751 - acc: 0.9995 - val_loss: 0.3980 - val_acc: 0.9311
1350 Epoch 3174/5000
1351 80/80 - 32s 400ms/step - loss: 0.0753 - acc: 0.9994 - val_loss: 0.3987 - val_acc: 0.9311
1352 Epoch 3175/5000
1353 80/80 - 32s 400ms/step - loss: 0.0755 - acc: 0.9993 - val_loss: 0.3958 - val_acc: 0.9311
1354 Epoch 3176/5000
1355 80/80 - 32s 400ms/step - loss: 0.0757 - acc: 0.9992 - val_loss: 0.3932 - val_acc: 0.9318
1356 Epoch 3177/5000
1357 80/80 - 32s 399ms/step - loss: 0.0752 - acc: 0.9994 - val_loss: 0.3926 - val_acc: 0.9310
1358 Epoch 3178/5000
1359 80/80 - 32s 400ms/step - loss: 0.0748 - acc: 0.9996 - val_loss: 0.3929 - val_acc: 0.9307
1360 Epoch 3179/5000
1361 80/80 - 32s 400ms/step - loss: 0.0748 - acc: 0.9996 - val_loss: 0.3938 - val_acc: 0.9316
1362 Epoch 3180/5000
1363 80/80 - 32s 399ms/step - loss: 0.0750 - acc: 0.9995 - val_loss: 0.3940 - val_acc: 0.9324
1364 Epoch 3181/5000
1365 80/80 - 32s 400ms/step - loss: 0.0753 - acc: 0.9994 - val_loss: 0.3950 - val_acc: 0.9321
1366 Epoch 3182/5000
1367 80/80 - 32s 399ms/step - loss: 0.0749 - acc: 0.9995 - val_loss: 0.3945 - val_acc: 0.9310
1368 Epoch 3183/5000
1369 80/80 - 32s 399ms/step - loss: 0.0749 - acc: 0.9995 - val_loss: 0.3920 - val_acc: 0.9314
1370 Epoch 3184/5000
1371 80/80 - 32s 399ms/step - loss: 0.0754 - acc: 0.9993 - val_loss: 0.3938 - val_acc: 0.9310
1372 Epoch 3185/5000
1373 80/80 - 32s 400ms/step - loss: 0.0746 - acc: 0.9996 - val_loss: 0.3940 - val_acc: 0.9306
1374 Epoch 3186/5000
1375 80/80 - 32s 400ms/step - loss: 0.0747 - acc: 0.9996 - val_loss: 0.3908 - val_acc: 0.9308
1376 Epoch 3187/5000
1377 80/80 - 32s 399ms/step - loss: 0.0750 - acc: 0.9994 - val_loss: 0.3889 - val_acc: 0.9306
1378 Epoch 3188/5000
1379 80/80 - 32s 400ms/step - loss: 0.0748 - acc: 0.9994 - val_loss: 0.3892 - val_acc: 0.9308
1380 Epoch 3189/5000
1381 80/80 - 32s 400ms/step - loss: 0.0748 - acc: 0.9996 - val_loss: 0.3894 - val_acc: 0.9302
1382 Epoch 3190/5000
1383 80/80 - 32s 400ms/step - loss: 0.0746 - acc: 0.9996 - val_loss: 0.3884 - val_acc: 0.9317
1384 Epoch 3191/5000
1385 80/80 - 32s 400ms/step - loss: 0.0750 - acc: 0.9994 - val_loss: 0.3910 - val_acc: 0.9308
1386 Epoch 3192/5000
1387 80/80 - 32s 400ms/step - loss: 0.0749 - acc: 0.9995 - val_loss: 0.3904 - val_acc: 0.9311
1388 Epoch 3193/5000
1389 80/80 - 32s 400ms/step - loss: 0.0752 - acc: 0.9994 - val_loss: 0.3901 - val_acc: 0.9306
1390 Epoch 3194/5000
1391 80/80 - 32s 399ms/step - loss: 0.0742 - acc: 0.9997 - val_loss: 0.3895 - val_acc: 0.9302
1392 Epoch 3195/5000
1393 80/80 - 32s 400ms/step - loss: 0.0749 - acc: 0.9994 - val_loss: 0.3904 - val_acc: 0.9302
1394 Epoch 3196/5000
1395 80/80 - 32s 400ms/step - loss: 0.0750 - acc: 0.9993 - val_loss: 0.3897 - val_acc: 0.9305
1396 Epoch 3197/5000
1397 80/80 - 32s 399ms/step - loss: 0.0743 - acc: 0.9995 - val_loss: 0.3925 - val_acc: 0.9307
1398 Epoch 3198/5000
1399 80/80 - 32s 400ms/step - loss: 0.0748 - acc: 0.9995 - val_loss: 0.3952 - val_acc: 0.9301
1400 Epoch 3199/5000
1401 80/80 - 32s 400ms/step - loss: 0.0748 - acc: 0.9995 - val_loss: 0.3948 - val_acc: 0.9302
1402 Epoch 3200/5000
1403 80/80 - 32s 400ms/step - loss: 0.0743 - acc: 0.9996 - val_loss: 0.3956 - val_acc: 0.9300
1404 Epoch 3201/5000
1405 80/80 - 32s 399ms/step - loss: 0.0751 - acc: 0.9992 - val_loss: 0.3927 - val_acc: 0.9313
1406 Epoch 3202/5000
1407 80/80 - 32s 400ms/step - loss: 0.0746 - acc: 0.9995 - val_loss: 0.3923 - val_acc: 0.9313
1408 Epoch 3203/5000
1409 80/80 - 32s 400ms/step - loss: 0.0747 - acc: 0.9994 - val_loss: 0.3922 - val_acc: 0.9318
1410 Epoch 3204/5000
1411 80/80 - 32s 400ms/step - loss: 0.0746 - acc: 0.9995 - val_loss: 0.3910 - val_acc: 0.9317
1412 Epoch 3205/5000
1413 80/80 - 32s 400ms/step - loss: 0.0746 - acc: 0.9994 - val_loss: 0.3901 - val_acc: 0.9312
1414 Epoch 3206/5000
1415 80/80 - 32s 399ms/step - loss: 0.0749 - acc: 0.9994 - val_loss: 0.3909 - val_acc: 0.9312
1416 Epoch 3207/5000
1417 80/80 - 32s 400ms/step - loss: 0.0743 - acc: 0.9996 - val_loss: 0.3912 - val_acc: 0.9315
1418 Epoch 3208/5000
1419 80/80 - 32s 399ms/step - loss: 0.0745 - acc: 0.9994 - val_loss: 0.3922 - val_acc: 0.9304
1420 Epoch 3209/5000
1421 80/80 - 32s 400ms/step - loss: 0.0748 - acc: 0.9993 - val_loss: 0.3928 - val_acc: 0.9302
1422 Epoch 3210/5000
1423 80/80 - 32s 399ms/step - loss: 0.0745 - acc: 0.9995 - val_loss: 0.3934 - val_acc: 0.9294
1424 Epoch 3211/5000
1425 80/80 - 32s 400ms/step - loss: 0.0741 - acc: 0.9996 - val_loss: 0.3945 - val_acc: 0.9305
1426 Epoch 3212/5000
1427 80/80 - 32s 399ms/step - loss: 0.0746 - acc: 0.9994 - val_loss: 0.3951 - val_acc: 0.9298
1428 Epoch 3213/5000
1429 80/80 - 32s 400ms/step - loss: 0.0743 - acc: 0.9995 - val_loss: 0.3967 - val_acc: 0.9291
1430 Epoch 3214/5000
1431 80/80 - 32s 399ms/step - loss: 0.0740 - acc: 0.9996 - val_loss: 0.3970 - val_acc: 0.9302
1432 Epoch 3215/5000
1433 80/80 - 32s 400ms/step - loss: 0.0741 - acc: 0.9995 - val_loss: 0.3991 - val_acc: 0.9301
1434 Epoch 3216/5000
1435 80/80 - 32s 400ms/step - loss: 0.0739 - acc: 0.9996 - val_loss: 0.3986 - val_acc: 0.9298
1436 Epoch 3217/5000
1437 80/80 - 32s 400ms/step - loss: 0.0739 - acc: 0.9996 - val_loss: 0.3987 - val_acc: 0.9301
1438 Epoch 3218/5000
1439 80/80 - 32s 400ms/step - loss: 0.0740 - acc: 0.9996 - val_loss: 0.3980 - val_acc: 0.9304
1440 Epoch 3219/5000
1441 80/80 - 32s 399ms/step - loss: 0.0739 - acc: 0.9996 - val_loss: 0.3976 - val_acc: 0.9313
1442 Epoch 3220/5000
1443 80/80 - 32s 399ms/step - loss: 0.0743 - acc: 0.9994 - val_loss: 0.4000 - val_acc: 0.9307
1444 Epoch 3221/5000
1445 80/80 - 32s 399ms/step - loss: 0.0739 - acc: 0.9995 - val_loss: 0.3957 - val_acc: 0.9316
1446 Epoch 3222/5000
1447 80/80 - 32s 400ms/step - loss: 0.0739 - acc: 0.9994 - val_loss: 0.3948 - val_acc: 0.9309
1448 Epoch 3223/5000
1449 80/80 - 32s 400ms/step - loss: 0.0738 - acc: 0.9995 - val_loss: 0.3947 - val_acc: 0.9313
1450 Epoch 3224/5000
1451 80/80 - 32s 400ms/step - loss: 0.0741 - acc: 0.9994 - val_loss: 0.3954 - val_acc: 0.9322
1452 Epoch 3225/5000
1453 80/80 - 32s 399ms/step - loss: 0.0742 - acc: 0.9994 - val_loss: 0.3951 - val_acc: 0.9314
1454 Epoch 3226/5000
1455 80/80 - 32s 400ms/step - loss: 0.0736 - acc: 0.9997 - val_loss: 0.3945 - val_acc: 0.9311
1456 Epoch 3227/5000
1457 80/80 - 32s 399ms/step - loss: 0.0740 - acc: 0.9994 - val_loss: 0.3941 - val_acc: 0.9312
1458 Epoch 3228/5000
1459 80/80 - 32s 399ms/step - loss: 0.0738 - acc: 0.9996 - val_loss: 0.3946 - val_acc: 0.9300
1460 Epoch 3229/5000
1461 80/80 - 32s 399ms/step - loss: 0.0736 - acc: 0.9997 - val_loss: 0.3950 - val_acc: 0.9301
1462 Epoch 3230/5000
1463 80/80 - 32s 400ms/step - loss: 0.0740 - acc: 0.9996 - val_loss: 0.3943 - val_acc: 0.9305
1464 Epoch 3231/5000
1465 80/80 - 32s 400ms/step - loss: 0.0737 - acc: 0.9996 - val_loss: 0.3974 - val_acc: 0.9304
1466 Epoch 3232/5000
1467 80/80 - 32s 400ms/step - loss: 0.0739 - acc: 0.9995 - val_loss: 0.3989 - val_acc: 0.9297
1468 Epoch 3233/5000
1469 80/80 - 32s 399ms/step - loss: 0.0737 - acc: 0.9996 - val_loss: 0.3974 - val_acc: 0.9308
1470 Epoch 3234/5000
1471 80/80 - 32s 400ms/step - loss: 0.0737 - acc: 0.9995 - val_loss: 0.3957 - val_acc: 0.9312
1472 Epoch 3235/5000
1473 80/80 - 32s 400ms/step - loss: 0.0739 - acc: 0.9994 - val_loss: 0.3945 - val_acc: 0.9314
1474 Epoch 3236/5000
1475 80/80 - 32s 399ms/step - loss: 0.0733 - acc: 0.9998 - val_loss: 0.3926 - val_acc: 0.9323
1476 Epoch 3237/5000
1477 80/80 - 32s 400ms/step - loss: 0.0740 - acc: 0.9995 - val_loss: 0.3936 - val_acc: 0.9328
1478 Epoch 3238/5000
1479 80/80 - 32s 400ms/step - loss: 0.0740 - acc: 0.9994 - val_loss: 0.3956 - val_acc: 0.9314
1480 Epoch 3239/5000
1481 80/80 - 32s 400ms/step - loss: 0.0740 - acc: 0.9993 - val_loss: 0.3962 - val_acc: 0.9318
1482 Epoch 3240/5000
1483 80/80 - 32s 399ms/step - loss: 0.0739 - acc: 0.9994 - val_loss: 0.3941 - val_acc: 0.9309
1484 Epoch 3241/5000
1485 80/80 - 32s 400ms/step - loss: 0.0740 - acc: 0.9994 - val_loss: 0.3926 - val_acc: 0.9326
1486 Epoch 3242/5000
1487 80/80 - 32s 400ms/step - loss: 0.0736 - acc: 0.9996 - val_loss: 0.3944 - val_acc: 0.9310
1488 Epoch 3243/5000
1489 80/80 - 32s 399ms/step - loss: 0.0738 - acc: 0.9995 - val_loss: 0.3934 - val_acc: 0.9315
1490 Epoch 3244/5000
1491 80/80 - 32s 400ms/step - loss: 0.0738 - acc: 0.9994 - val_loss: 0.3946 - val_acc: 0.9308
1492 Epoch 3245/5000
1493 80/80 - 32s 399ms/step - loss: 0.0734 - acc: 0.9996 - val_loss: 0.3942 - val_acc: 0.9321
1494 Epoch 3246/5000
1495 80/80 - 32s 400ms/step - loss: 0.0736 - acc: 0.9995 - val_loss: 0.3945 - val_acc: 0.9322
1496 Epoch 3247/5000
1497 80/80 - 32s 400ms/step - loss: 0.0733 - acc: 0.9996 - val_loss: 0.3948 - val_acc: 0.9319
1498 Epoch 3248/5000
1499 80/80 - 32s 400ms/step - loss: 0.0734 - acc: 0.9995 - val_loss: 0.3931 - val_acc: 0.9321
1500 Epoch 3249/5000
1501 80/80 - 32s 400ms/step - loss: 0.0731 - acc: 0.9997 - val_loss: 0.3953 - val_acc: 0.9330
1502 Epoch 3250/5000
1503 80/80 - 32s 399ms/step - loss: 0.0736 - acc: 0.9995 - val_loss: 0.3981 - val_acc: 0.9326
1504 Epoch 3251/5000
1505 80/80 - 32s 400ms/step - loss: 0.0732 - acc: 0.9996 - val_loss: 0.3976 - val_acc: 0.9319
1506 Epoch 3252/5000
1507 80/80 - 32s 399ms/step - loss: 0.0734 - acc: 0.9995 - val_loss: 0.3990 - val_acc: 0.9320
1508 Epoch 3253/5000
1509 80/80 - 32s 400ms/step - loss: 0.0734 - acc: 0.9996 - val_loss: 0.3986 - val_acc: 0.9319
1510 Epoch 3254/5000
1511 80/80 - 32s 399ms/step - loss: 0.0734 - acc: 0.9995 - val_loss: 0.3966 - val_acc: 0.9316
1512 Epoch 3255/5000
1513 80/80 - 32s 400ms/step - loss: 0.0737 - acc: 0.9994 - val_loss: 0.3945 - val_acc: 0.9323
1514 Epoch 3256/5000
1515 80/80 - 32s 400ms/step - loss: 0.0734 - acc: 0.9995 - val_loss: 0.3936 - val_acc: 0.9327
1516 Epoch 3257/5000
1517 80/80 - 32s 400ms/step - loss: 0.0739 - acc: 0.9993 - val_loss: 0.3952 - val_acc: 0.9332
1518 Epoch 3258/5000
1519 80/80 - 32s 399ms/step - loss: 0.0733 - acc: 0.9994 - val_loss: 0.3961 - val_acc: 0.9319
1520 Epoch 3259/5000
1521 80/80 - 32s 399ms/step - loss: 0.0734 - acc: 0.9994 - val_loss: 0.3954 - val_acc: 0.9322
1522 Epoch 3260/5000
1523 80/80 - 32s 400ms/step - loss: 0.0730 - acc: 0.9997 - val_loss: 0.3944 - val_acc: 0.9325
1524 Epoch 3261/5000
1525 80/80 - 32s 399ms/step - loss: 0.0734 - acc: 0.9995 - val_loss: 0.3933 - val_acc: 0.9332
1526 Epoch 3262/5000
1527 80/80 - 32s 400ms/step - loss: 0.0733 - acc: 0.9995 - val_loss: 0.3928 - val_acc: 0.9331
1528 Epoch 3263/5000
1529 80/80 - 32s 400ms/step - loss: 0.0732 - acc: 0.9995 - val_loss: 0.3937 - val_acc: 0.9336
1530 Epoch 3264/5000
1531 80/80 - 32s 400ms/step - loss: 0.0732 - acc: 0.9995 - val_loss: 0.3953 - val_acc: 0.9330
1532 Epoch 3265/5000
1533 80/80 - 32s 400ms/step - loss: 0.0733 - acc: 0.9995 - val_loss: 0.3958 - val_acc: 0.9329
1534 Epoch 3266/5000
1535 80/80 - 32s 400ms/step - loss: 0.0735 - acc: 0.9994 - val_loss: 0.3947 - val_acc: 0.9335
1536 Epoch 3267/5000
1537 80/80 - 32s 399ms/step - loss: 0.0729 - acc: 0.9995 - val_loss: 0.3950 - val_acc: 0.9326
1538 Epoch 3268/5000
1539 80/80 - 32s 400ms/step - loss: 0.0732 - acc: 0.9995 - val_loss: 0.3956 - val_acc: 0.9322
1540 Epoch 3269/5000
1541 80/80 - 32s 399ms/step - loss: 0.0731 - acc: 0.9995 - val_loss: 0.3941 - val_acc: 0.9329
1542 Epoch 3270/5000
1543 80/80 - 32s 399ms/step - loss: 0.0733 - acc: 0.9995 - val_loss: 0.3946 - val_acc: 0.9335
1544 Epoch 3271/5000
1545 80/80 - 32s 399ms/step - loss: 0.0733 - acc: 0.9995 - val_loss: 0.3947 - val_acc: 0.9335
1546 Epoch 3272/5000
1547 80/80 - 32s 399ms/step - loss: 0.0730 - acc: 0.9995 - val_loss: 0.3971 - val_acc: 0.9322
1548 Epoch 3273/5000
1549 80/80 - 32s 400ms/step - loss: 0.0730 - acc: 0.9996 - val_loss: 0.3974 - val_acc: 0.9316
1550 Epoch 3274/5000
1551 80/80 - 32s 400ms/step - loss: 0.0728 - acc: 0.9996 - val_loss: 0.3976 - val_acc: 0.9308
1552 Epoch 3275/5000
1553 80/80 - 32s 399ms/step - loss: 0.0728 - acc: 0.9996 - val_loss: 0.3996 - val_acc: 0.9309
1554 Epoch 3276/5000
1555 80/80 - 32s 400ms/step - loss: 0.0730 - acc: 0.9995 - val_loss: 0.4002 - val_acc: 0.9312
1556 Epoch 3277/5000
1557 80/80 - 32s 403ms/step - loss: 0.0731 - acc: 0.9996 - val_loss: 0.3989 - val_acc: 0.9315
1558 Epoch 3278/5000
1559 80/80 - 32s 400ms/step - loss: 0.0724 - acc: 0.9997 - val_loss: 0.3974 - val_acc: 0.9312
1560 Epoch 3279/5000
1561 80/80 - 32s 399ms/step - loss: 0.0730 - acc: 0.9994 - val_loss: 0.3980 - val_acc: 0.9311
1562 Epoch 3280/5000
1563 80/80 - 32s 400ms/step - loss: 0.0728 - acc: 0.9994 - val_loss: 0.4013 - val_acc: 0.9298
1564 Epoch 3281/5000
1565 80/80 - 32s 400ms/step - loss: 0.0729 - acc: 0.9995 - val_loss: 0.3991 - val_acc: 0.9306
1566 Epoch 3282/5000
1567 80/80 - 32s 399ms/step - loss: 0.0725 - acc: 0.9996 - val_loss: 0.3975 - val_acc: 0.9310
1568 Epoch 3283/5000
1569 80/80 - 32s 399ms/step - loss: 0.0729 - acc: 0.9996 - val_loss: 0.3965 - val_acc: 0.9305
1570 Epoch 3284/5000
1571 80/80 - 32s 399ms/step - loss: 0.0724 - acc: 0.9997 - val_loss: 0.3968 - val_acc: 0.9305
1572 Epoch 3285/5000
1573 80/80 - 32s 400ms/step - loss: 0.0725 - acc: 0.9995 - val_loss: 0.3976 - val_acc: 0.9304
1574 Epoch 3286/5000
1575 80/80 - 32s 400ms/step - loss: 0.0726 - acc: 0.9996 - val_loss: 0.3992 - val_acc: 0.9308
1576 Epoch 3287/5000
1577 80/80 - 32s 401ms/step - loss: 0.0726 - acc: 0.9996 - val_loss: 0.3989 - val_acc: 0.9309
1578 Epoch 3288/5000
1579 80/80 - 32s 400ms/step - loss: 0.0727 - acc: 0.9995 - val_loss: 0.3995 - val_acc: 0.9304
1580 Epoch 3289/5000
1581 80/80 - 32s 400ms/step - loss: 0.0726 - acc: 0.9995 - val_loss: 0.3998 - val_acc: 0.9315
1582 Epoch 3290/5000
1583 80/80 - 32s 400ms/step - loss: 0.0723 - acc: 0.9996 - val_loss: 0.3989 - val_acc: 0.9313
1584 Epoch 3291/5000
1585 80/80 - 32s 400ms/step - loss: 0.0726 - acc: 0.9995 - val_loss: 0.3993 - val_acc: 0.9312
1586 Epoch 3292/5000
1587 80/80 - 32s 400ms/step - loss: 0.0725 - acc: 0.9995 - val_loss: 0.4003 - val_acc: 0.9317
1588 Epoch 3293/5000
1589 80/80 - 32s 400ms/step - loss: 0.0727 - acc: 0.9994 - val_loss: 0.4021 - val_acc: 0.9321
1590 Epoch 3294/5000
1591 80/80 - 32s 400ms/step - loss: 0.0724 - acc: 0.9997 - val_loss: 0.4023 - val_acc: 0.9321
1592 Epoch 3295/5000
1593 80/80 - 32s 400ms/step - loss: 0.0728 - acc: 0.9995 - val_loss: 0.4053 - val_acc: 0.9316
1594 Epoch 3296/5000
1595 80/80 - 32s 400ms/step - loss: 0.0728 - acc: 0.9994 - val_loss: 0.4020 - val_acc: 0.9317
1596 Epoch 3297/5000
1597 80/80 - 32s 400ms/step - loss: 0.0724 - acc: 0.9995 - val_loss: 0.3995 - val_acc: 0.9315
1598 Epoch 3298/5000
1599 80/80 - 32s 400ms/step - loss: 0.0723 - acc: 0.9995 - val_loss: 0.3999 - val_acc: 0.9312
1600 Epoch 3299/5000
1601 80/80 - 32s 399ms/step - loss: 0.0727 - acc: 0.9994 - val_loss: 0.3995 - val_acc: 0.9317
1602 Epoch 3300/5000
1603 80/80 - 32s 400ms/step - loss: 0.0722 - acc: 0.9997 - val_loss: 0.3985 - val_acc: 0.9320
1604 Epoch 3301/5000
1605 80/80 - 32s 399ms/step - loss: 0.0723 - acc: 0.9996 - val_loss: 0.4007 - val_acc: 0.9305
1606 Epoch 3302/5000
1607 80/80 - 32s 400ms/step - loss: 0.0725 - acc: 0.9995 - val_loss: 0.4001 - val_acc: 0.9300
1608 Epoch 3303/5000
1609 80/80 - 32s 399ms/step - loss: 0.0722 - acc: 0.9995 - val_loss: 0.3995 - val_acc: 0.9304
1610 Epoch 3304/5000
1611 80/80 - 32s 400ms/step - loss: 0.0726 - acc: 0.9994 - val_loss: 0.3968 - val_acc: 0.9316
1612 Epoch 3305/5000
1613 80/80 - 32s 399ms/step - loss: 0.0725 - acc: 0.9994 - val_loss: 0.3956 - val_acc: 0.9328
1614 Epoch 3306/5000
1615 80/80 - 32s 399ms/step - loss: 0.0725 - acc: 0.9996 - val_loss: 0.3955 - val_acc: 0.9328
1616 Epoch 3307/5000
1617 80/80 - 32s 399ms/step - loss: 0.0723 - acc: 0.9995 - val_loss: 0.3947 - val_acc: 0.9320
1618 Epoch 3308/5000
1619 80/80 - 32s 399ms/step - loss: 0.0722 - acc: 0.9997 - val_loss: 0.3956 - val_acc: 0.9317
1620 Epoch 3309/5000
1621 80/80 - 32s 399ms/step - loss: 0.0722 - acc: 0.9995 - val_loss: 0.3982 - val_acc: 0.9307
1622 Epoch 3310/5000
1623 80/80 - 32s 399ms/step - loss: 0.0720 - acc: 0.9996 - val_loss: 0.3976 - val_acc: 0.9314
1624 Epoch 3311/5000
1625 80/80 - 32s 399ms/step - loss: 0.0722 - acc: 0.9996 - val_loss: 0.3977 - val_acc: 0.9316
1626 Epoch 3312/5000
1627 80/80 - 32s 399ms/step - loss: 0.0722 - acc: 0.9996 - val_loss: 0.3980 - val_acc: 0.9310
1628 Epoch 3313/5000
1629 80/80 - 32s 399ms/step - loss: 0.0720 - acc: 0.9996 - val_loss: 0.3992 - val_acc: 0.9316
1630 Epoch 3314/5000
1631 80/80 - 32s 400ms/step - loss: 0.0722 - acc: 0.9996 - val_loss: 0.3976 - val_acc: 0.9314
1632 Epoch 3315/5000
1633 80/80 - 32s 400ms/step - loss: 0.0725 - acc: 0.9994 - val_loss: 0.3961 - val_acc: 0.9321
1634 Epoch 3316/5000
1635 80/80 - 32s 400ms/step - loss: 0.0718 - acc: 0.9996 - val_loss: 0.3942 - val_acc: 0.9331
1636 Epoch 3317/5000
1637 80/80 - 32s 400ms/step - loss: 0.0719 - acc: 0.9995 - val_loss: 0.3944 - val_acc: 0.9327
1638 Epoch 3318/5000
1639 80/80 - 32s 399ms/step - loss: 0.0718 - acc: 0.9997 - val_loss: 0.3941 - val_acc: 0.9325
1640 Epoch 3319/5000
1641 80/80 - 32s 399ms/step - loss: 0.0722 - acc: 0.9994 - val_loss: 0.3966 - val_acc: 0.9323
1642 Epoch 3320/5000
1643 80/80 - 32s 399ms/step - loss: 0.0723 - acc: 0.9994 - val_loss: 0.3972 - val_acc: 0.9311
1644 Epoch 3321/5000
1645 80/80 - 32s 399ms/step - loss: 0.0717 - acc: 0.9997 - val_loss: 0.3950 - val_acc: 0.9312
1646 Epoch 3322/5000
1647 80/80 - 32s 404ms/step - loss: 0.0721 - acc: 0.9995 - val_loss: 0.3933 - val_acc: 0.9324
1648 Epoch 3323/5000
1649 80/80 - 32s 400ms/step - loss: 0.0718 - acc: 0.9995 - val_loss: 0.3935 - val_acc: 0.9310
1650 Epoch 3324/5000
1651 80/80 - 32s 400ms/step - loss: 0.0720 - acc: 0.9996 - val_loss: 0.3960 - val_acc: 0.9309
1652 Epoch 3325/5000
1653 80/80 - 32s 400ms/step - loss: 0.0724 - acc: 0.9995 - val_loss: 0.3973 - val_acc: 0.9311
1654 Epoch 3326/5000
1655 80/80 - 32s 400ms/step - loss: 0.0717 - acc: 0.9997 - val_loss: 0.3973 - val_acc: 0.9317
1656 Epoch 3327/5000
1657 80/80 - 32s 400ms/step - loss: 0.0716 - acc: 0.9997 - val_loss: 0.3984 - val_acc: 0.9319
1658 Epoch 3328/5000
1659 80/80 - 32s 400ms/step - loss: 0.0721 - acc: 0.9995 - val_loss: 0.3979 - val_acc: 0.9314
1660 Epoch 3329/5000
1661 80/80 - 32s 400ms/step - loss: 0.0720 - acc: 0.9994 - val_loss: 0.3998 - val_acc: 0.9309
1662 Epoch 3330/5000
1663 80/80 - 32s 400ms/step - loss: 0.0718 - acc: 0.9996 - val_loss: 0.4017 - val_acc: 0.9300
1664 Epoch 3331/5000
1665 80/80 - 32s 400ms/step - loss: 0.0716 - acc: 0.9997 - val_loss: 0.4031 - val_acc: 0.9299
1666 Epoch 3332/5000
1667 80/80 - 32s 401ms/step - loss: 0.0718 - acc: 0.9995 - val_loss: 0.4006 - val_acc: 0.9295
1668 Epoch 3333/5000
1669 80/80 - 32s 400ms/step - loss: 0.0720 - acc: 0.9995 - val_loss: 0.4019 - val_acc: 0.9303
1670 Epoch 3334/5000
1671 80/80 - 32s 400ms/step - loss: 0.0716 - acc: 0.9996 - val_loss: 0.4017 - val_acc: 0.9308
1672 Epoch 3335/5000
1673 80/80 - 32s 400ms/step - loss: 0.0715 - acc: 0.9997 - val_loss: 0.3991 - val_acc: 0.9310
1674 Epoch 3336/5000
1675 80/80 - 32s 399ms/step - loss: 0.0721 - acc: 0.9995 - val_loss: 0.4007 - val_acc: 0.9307
1676 Epoch 3337/5000
1677 80/80 - 32s 399ms/step - loss: 0.0716 - acc: 0.9996 - val_loss: 0.4004 - val_acc: 0.9311
1678 Epoch 3338/5000
1679 80/80 - 32s 399ms/step - loss: 0.0717 - acc: 0.9995 - val_loss: 0.3993 - val_acc: 0.9310
1680 Epoch 3339/5000
1681 80/80 - 32s 399ms/step - loss: 0.0715 - acc: 0.9996 - val_loss: 0.3989 - val_acc: 0.9305
1682 Epoch 3340/5000
1683 80/80 - 32s 399ms/step - loss: 0.0715 - acc: 0.9996 - val_loss: 0.3979 - val_acc: 0.9307
1684 Epoch 3341/5000
1685 80/80 - 32s 400ms/step - loss: 0.0714 - acc: 0.9997 - val_loss: 0.3973 - val_acc: 0.9313
1686 Epoch 3342/5000
1687 80/80 - 32s 400ms/step - loss: 0.0715 - acc: 0.9996 - val_loss: 0.3977 - val_acc: 0.9315
1688 Epoch 3343/5000
1689 80/80 - 32s 400ms/step - loss: 0.0714 - acc: 0.9996 - val_loss: 0.3977 - val_acc: 0.9317
1690 Epoch 3344/5000
1691 80/80 - 32s 399ms/step - loss: 0.0715 - acc: 0.9995 - val_loss: 0.3964 - val_acc: 0.9330
1692 Epoch 3345/5000
1693 80/80 - 32s 400ms/step - loss: 0.0717 - acc: 0.9994 - val_loss: 0.3961 - val_acc: 0.9336
1694 Epoch 3346/5000
1695 80/80 - 32s 399ms/step - loss: 0.0717 - acc: 0.9995 - val_loss: 0.3935 - val_acc: 0.9329
1696 Epoch 3347/5000
1697 80/80 - 32s 399ms/step - loss: 0.0717 - acc: 0.9994 - val_loss: 0.3935 - val_acc: 0.9338
1698 Epoch 3348/5000
1699 80/80 - 32s 400ms/step - loss: 0.0714 - acc: 0.9997 - val_loss: 0.3965 - val_acc: 0.9318
1700 Epoch 3349/5000
1701 80/80 - 32s 399ms/step - loss: 0.0714 - acc: 0.9995 - val_loss: 0.3977 - val_acc: 0.9326
1702 Epoch 3350/5000
1703 80/80 - 32s 399ms/step - loss: 0.0711 - acc: 0.9997 - val_loss: 0.3976 - val_acc: 0.9320
1704 Epoch 3351/5000
1705 80/80 - 32s 399ms/step - loss: 0.0714 - acc: 0.9994 - val_loss: 0.3966 - val_acc: 0.9317
1706 Epoch 3352/5000
1707 80/80 - 32s 399ms/step - loss: 0.0713 - acc: 0.9997 - val_loss: 0.3937 - val_acc: 0.9322
1708 Epoch 3353/5000
1709 80/80 - 32s 399ms/step - loss: 0.0712 - acc: 0.9996 - val_loss: 0.3957 - val_acc: 0.9322
1710 Epoch 3354/5000
1711 80/80 - 32s 399ms/step - loss: 0.0714 - acc: 0.9995 - val_loss: 0.3993 - val_acc: 0.9319
1712 Epoch 3355/5000
1713 80/80 - 32s 399ms/step - loss: 0.0713 - acc: 0.9996 - val_loss: 0.4001 - val_acc: 0.9321
1714 Epoch 3356/5000
1715 80/80 - 32s 399ms/step - loss: 0.0714 - acc: 0.9995 - val_loss: 0.3990 - val_acc: 0.9324
1716 Epoch 3357/5000
1717 80/80 - 32s 399ms/step - loss: 0.0716 - acc: 0.9994 - val_loss: 0.3999 - val_acc: 0.9316
1718 Epoch 3358/5000
1719 80/80 - 32s 400ms/step - loss: 0.0712 - acc: 0.9995 - val_loss: 0.3994 - val_acc: 0.9319
1720 Epoch 3359/5000
1721 80/80 - 32s 399ms/step - loss: 0.0713 - acc: 0.9996 - val_loss: 0.3970 - val_acc: 0.9313
1722 Epoch 3360/5000
1723 80/80 - 32s 399ms/step - loss: 0.0711 - acc: 0.9996 - val_loss: 0.3946 - val_acc: 0.9326
1724 Epoch 3361/5000
1725 80/80 - 32s 399ms/step - loss: 0.0713 - acc: 0.9996 - val_loss: 0.3972 - val_acc: 0.9316
1726 Epoch 3362/5000
1727 80/80 - 32s 400ms/step - loss: 0.0712 - acc: 0.9996 - val_loss: 0.3973 - val_acc: 0.9317
1728 Epoch 3363/5000
1729 80/80 - 32s 400ms/step - loss: 0.0713 - acc: 0.9995 - val_loss: 0.3974 - val_acc: 0.9316
1730 Epoch 3364/5000
1731 80/80 - 32s 399ms/step - loss: 0.0710 - acc: 0.9996 - val_loss: 0.3992 - val_acc: 0.9312
1732 Epoch 3365/5000
1733 80/80 - 32s 400ms/step - loss: 0.0710 - acc: 0.9997 - val_loss: 0.3969 - val_acc: 0.9318
1734 Epoch 3366/5000
1735 80/80 - 32s 399ms/step - loss: 0.0713 - acc: 0.9994 - val_loss: 0.3955 - val_acc: 0.9334
1736 Epoch 3367/5000
1737 80/80 - 32s 399ms/step - loss: 0.0714 - acc: 0.9994 - val_loss: 0.3944 - val_acc: 0.9318
1738 Epoch 3368/5000
1739 80/80 - 32s 400ms/step - loss: 0.0713 - acc: 0.9995 - val_loss: 0.3958 - val_acc: 0.9317
1740 Epoch 3369/5000
1741 80/80 - 32s 399ms/step - loss: 0.0711 - acc: 0.9995 - val_loss: 0.3950 - val_acc: 0.9314
1742 Epoch 3370/5000
1743 80/80 - 32s 399ms/step - loss: 0.0712 - acc: 0.9995 - val_loss: 0.3958 - val_acc: 0.9312
1744 Epoch 3371/5000
1745 80/80 - 32s 400ms/step - loss: 0.0712 - acc: 0.9996 - val_loss: 0.3949 - val_acc: 0.9326
1746 Epoch 3372/5000
1747 80/80 - 32s 399ms/step - loss: 0.0711 - acc: 0.9996 - val_loss: 0.3947 - val_acc: 0.9325
1748 Epoch 3373/5000
1749 80/80 - 32s 399ms/step - loss: 0.0709 - acc: 0.9995 - val_loss: 0.3943 - val_acc: 0.9330
1750 Epoch 3374/5000
1751 80/80 - 32s 399ms/step - loss: 0.0711 - acc: 0.9995 - val_loss: 0.3951 - val_acc: 0.9322
1752 Epoch 3375/5000
1753 80/80 - 32s 400ms/step - loss: 0.0705 - acc: 0.9997 - val_loss: 0.3962 - val_acc: 0.9320
1754 Epoch 3376/5000
1755 80/80 - 32s 399ms/step - loss: 0.0707 - acc: 0.9997 - val_loss: 0.3958 - val_acc: 0.9322
1756 Epoch 3377/5000
1757 80/80 - 32s 400ms/step - loss: 0.0707 - acc: 0.9997 - val_loss: 0.3977 - val_acc: 0.9318
1758 Epoch 3378/5000
1759 80/80 - 32s 400ms/step - loss: 0.0708 - acc: 0.9996 - val_loss: 0.3971 - val_acc: 0.9327
1760 Epoch 3379/5000
1761 80/80 - 32s 399ms/step - loss: 0.0712 - acc: 0.9995 - val_loss: 0.3959 - val_acc: 0.9330
1762 Epoch 3380/5000
1763 80/80 - 32s 399ms/step - loss: 0.0709 - acc: 0.9995 - val_loss: 0.3970 - val_acc: 0.9322
1764 Epoch 3381/5000
1765 80/80 - 32s 400ms/step - loss: 0.0708 - acc: 0.9995 - val_loss: 0.3948 - val_acc: 0.9316
1766 Epoch 3382/5000
1767 80/80 - 32s 400ms/step - loss: 0.0707 - acc: 0.9996 - val_loss: 0.3929 - val_acc: 0.9317
1768 Epoch 3383/5000
1769 80/80 - 32s 400ms/step - loss: 0.0709 - acc: 0.9995 - val_loss: 0.3954 - val_acc: 0.9327
1770 Epoch 3384/5000
1771 80/80 - 32s 400ms/step - loss: 0.0705 - acc: 0.9996 - val_loss: 0.3946 - val_acc: 0.9327
1772 Epoch 3385/5000
1773 80/80 - 32s 399ms/step - loss: 0.0707 - acc: 0.9996 - val_loss: 0.3942 - val_acc: 0.9329
1774 Epoch 3386/5000
1775 80/80 - 32s 400ms/step - loss: 0.0707 - acc: 0.9996 - val_loss: 0.3927 - val_acc: 0.9335
1776 Epoch 3387/5000
1777 80/80 - 32s 400ms/step - loss: 0.0707 - acc: 0.9996 - val_loss: 0.3931 - val_acc: 0.9332
1778 Epoch 3388/5000
1779 80/80 - 32s 399ms/step - loss: 0.0707 - acc: 0.9996 - val_loss: 0.3936 - val_acc: 0.9323
1780 Epoch 3389/5000
1781 80/80 - 32s 399ms/step - loss: 0.0708 - acc: 0.9995 - val_loss: 0.3955 - val_acc: 0.9327
1782 Epoch 3390/5000
1783 80/80 - 32s 399ms/step - loss: 0.0707 - acc: 0.9996 - val_loss: 0.3969 - val_acc: 0.9318
1784 Epoch 3391/5000
1785 80/80 - 32s 400ms/step - loss: 0.0703 - acc: 0.9997 - val_loss: 0.3975 - val_acc: 0.9320
1786 Epoch 3392/5000
1787 80/80 - 32s 399ms/step - loss: 0.0705 - acc: 0.9996 - val_loss: 0.3981 - val_acc: 0.9313
1788 Epoch 3393/5000
1789 80/80 - 32s 400ms/step - loss: 0.0704 - acc: 0.9997 - val_loss: 0.3988 - val_acc: 0.9322
1790 Epoch 3394/5000
1791 80/80 - 32s 399ms/step - loss: 0.0705 - acc: 0.9996 - val_loss: 0.3967 - val_acc: 0.9332
1792 Epoch 3395/5000
1793 80/80 - 32s 399ms/step - loss: 0.0703 - acc: 0.9997 - val_loss: 0.3957 - val_acc: 0.9318
1794 Epoch 3396/5000
1795 80/80 - 32s 400ms/step - loss: 0.0710 - acc: 0.9994 - val_loss: 0.3979 - val_acc: 0.9313
1796 Epoch 3397/5000
1797 80/80 - 32s 399ms/step - loss: 0.0703 - acc: 0.9996 - val_loss: 0.3991 - val_acc: 0.9310
1798 Epoch 3398/5000
1799 80/80 - 32s 399ms/step - loss: 0.0703 - acc: 0.9997 - val_loss: 0.3992 - val_acc: 0.9310
1800 Epoch 3399/5000
1801 80/80 - 32s 399ms/step - loss: 0.0704 - acc: 0.9995 - val_loss: 0.3959 - val_acc: 0.9312
1802 Epoch 3400/5000
1803 80/80 - 32s 400ms/step - loss: 0.0706 - acc: 0.9995 - val_loss: 0.3943 - val_acc: 0.9325
1804 Epoch 3401/5000
1805 80/80 - 32s 400ms/step - loss: 0.0709 - acc: 0.9995 - val_loss: 0.3966 - val_acc: 0.9338
1806 Epoch 3402/5000
1807 80/80 - 32s 400ms/step - loss: 0.0703 - acc: 0.9996 - val_loss: 0.3976 - val_acc: 0.9328
1808 Epoch 3403/5000
1809 80/80 - 32s 400ms/step - loss: 0.0702 - acc: 0.9996 - val_loss: 0.3981 - val_acc: 0.9328
1810 Epoch 3404/5000
1811 80/80 - 32s 400ms/step - loss: 0.0706 - acc: 0.9995 - val_loss: 0.3988 - val_acc: 0.9332
1812 Epoch 3405/5000
1813 80/80 - 32s 399ms/step - loss: 0.0701 - acc: 0.9997 - val_loss: 0.3998 - val_acc: 0.9319
1814 Epoch 3406/5000
1815 80/80 - 32s 399ms/step - loss: 0.0701 - acc: 0.9997 - val_loss: 0.4000 - val_acc: 0.9323
1816 Epoch 3407/5000
1817 80/80 - 32s 400ms/step - loss: 0.0704 - acc: 0.9996 - val_loss: 0.3969 - val_acc: 0.9326
1818 Epoch 3408/5000
1819 80/80 - 32s 400ms/step - loss: 0.0703 - acc: 0.9996 - val_loss: 0.3961 - val_acc: 0.9323
1820 Epoch 3409/5000
1821 80/80 - 32s 400ms/step - loss: 0.0704 - acc: 0.9995 - val_loss: 0.3964 - val_acc: 0.9321
1822 Epoch 3410/5000
1823 80/80 - 32s 399ms/step - loss: 0.0703 - acc: 0.9995 - val_loss: 0.3988 - val_acc: 0.9320
1824 Epoch 3411/5000
1825 80/80 - 32s 400ms/step - loss: 0.0701 - acc: 0.9997 - val_loss: 0.3980 - val_acc: 0.9319
1826 Epoch 3412/5000
1827 80/80 - 32s 399ms/step - loss: 0.0703 - acc: 0.9997 - val_loss: 0.3987 - val_acc: 0.9322
1828 Epoch 3413/5000
1829 80/80 - 32s 399ms/step - loss: 0.0700 - acc: 0.9996 - val_loss: 0.4009 - val_acc: 0.9313
1830 Epoch 3414/5000
1831 80/80 - 32s 399ms/step - loss: 0.0700 - acc: 0.9996 - val_loss: 0.3986 - val_acc: 0.9319
1832 Epoch 3415/5000
1833 80/80 - 32s 400ms/step - loss: 0.0700 - acc: 0.9996 - val_loss: 0.3973 - val_acc: 0.9322
1834 Epoch 3416/5000
1835 80/80 - 32s 400ms/step - loss: 0.0706 - acc: 0.9993 - val_loss: 0.4007 - val_acc: 0.9311
1836 Epoch 3417/5000
1837 80/80 - 32s 399ms/step - loss: 0.0706 - acc: 0.9994 - val_loss: 0.3994 - val_acc: 0.9317
1838 Epoch 3418/5000
1839 80/80 - 32s 399ms/step - loss: 0.0701 - acc: 0.9996 - val_loss: 0.4001 - val_acc: 0.9314
1840 Epoch 3419/5000
1841 80/80 - 32s 399ms/step - loss: 0.0708 - acc: 0.9993 - val_loss: 0.3999 - val_acc: 0.9317
1842 Epoch 3420/5000
1843 80/80 - 32s 400ms/step - loss: 0.0699 - acc: 0.9997 - val_loss: 0.4001 - val_acc: 0.9316
1844 Epoch 3421/5000
1845 80/80 - 32s 400ms/step - loss: 0.0702 - acc: 0.9995 - val_loss: 0.3982 - val_acc: 0.9325
1846 Epoch 3422/5000
1847 80/80 - 32s 400ms/step - loss: 0.0701 - acc: 0.9995 - val_loss: 0.4003 - val_acc: 0.9318
1848 Epoch 3423/5000
1849 80/80 - 32s 400ms/step - loss: 0.0696 - acc: 0.9998 - val_loss: 0.4021 - val_acc: 0.9305
1850 Epoch 3424/5000
1851 80/80 - 32s 403ms/step - loss: 0.0703 - acc: 0.9994 - val_loss: 0.4006 - val_acc: 0.9317
1852 Epoch 3425/5000
1853 80/80 - 32s 400ms/step - loss: 0.0698 - acc: 0.9997 - val_loss: 0.4007 - val_acc: 0.9308
1854 Epoch 3426/5000
1855 80/80 - 32s 400ms/step - loss: 0.0703 - acc: 0.9995 - val_loss: 0.4008 - val_acc: 0.9299
1856 Epoch 3427/5000
1857 80/80 - 32s 401ms/step - loss: 0.0702 - acc: 0.9995 - val_loss: 0.4019 - val_acc: 0.9294
1858 Epoch 3428/5000
1859 80/80 - 32s 401ms/step - loss: 0.0698 - acc: 0.9996 - val_loss: 0.4024 - val_acc: 0.9302
1860 Epoch 3429/5000
1861 80/80 - 32s 400ms/step - loss: 0.0698 - acc: 0.9997 - val_loss: 0.4017 - val_acc: 0.9299
1862 Epoch 3430/5000
1863 80/80 - 32s 401ms/step - loss: 0.0700 - acc: 0.9994 - val_loss: 0.4009 - val_acc: 0.9306
1864 Epoch 3431/5000
1865 80/80 - 32s 400ms/step - loss: 0.0702 - acc: 0.9995 - val_loss: 0.4020 - val_acc: 0.9302
1866 Epoch 3432/5000
1867 80/80 - 32s 400ms/step - loss: 0.0703 - acc: 0.9994 - val_loss: 0.4034 - val_acc: 0.9303
1868 Epoch 3433/5000
1869 80/80 - 32s 401ms/step - loss: 0.0702 - acc: 0.9994 - val_loss: 0.4021 - val_acc: 0.9306
1870 Epoch 3434/5000
1871 80/80 - 32s 401ms/step - loss: 0.0697 - acc: 0.9997 - val_loss: 0.4023 - val_acc: 0.9302
1872 Epoch 3435/5000
1873 80/80 - 32s 400ms/step - loss: 0.0697 - acc: 0.9997 - val_loss: 0.4026 - val_acc: 0.9296
1874 Epoch 3436/5000
1875 80/80 - 32s 400ms/step - loss: 0.0698 - acc: 0.9996 - val_loss: 0.4043 - val_acc: 0.9298
1876 Epoch 3437/5000
1877 80/80 - 32s 399ms/step - loss: 0.0701 - acc: 0.9995 - val_loss: 0.4036 - val_acc: 0.9303
1878 Epoch 3438/5000
1879 80/80 - 32s 400ms/step - loss: 0.0698 - acc: 0.9996 - val_loss: 0.3998 - val_acc: 0.9309
1880 Epoch 3439/5000
1881 80/80 - 32s 400ms/step - loss: 0.0696 - acc: 0.9997 - val_loss: 0.3988 - val_acc: 0.9309
1882 Epoch 3440/5000
1883 80/80 - 32s 400ms/step - loss: 0.0696 - acc: 0.9996 - val_loss: 0.3968 - val_acc: 0.9311
1884 Epoch 3441/5000
1885 80/80 - 32s 399ms/step - loss: 0.0697 - acc: 0.9996 - val_loss: 0.3941 - val_acc: 0.9320
1886 Epoch 3442/5000
1887 80/80 - 32s 400ms/step - loss: 0.0697 - acc: 0.9995 - val_loss: 0.3948 - val_acc: 0.9320
1888 Epoch 3443/5000
1889 80/80 - 32s 400ms/step - loss: 0.0692 - acc: 0.9998 - val_loss: 0.3951 - val_acc: 0.9316
1890 Epoch 3444/5000
1891 80/80 - 32s 400ms/step - loss: 0.0696 - acc: 0.9996 - val_loss: 0.3981 - val_acc: 0.9318
1892 Epoch 3445/5000
1893 80/80 - 32s 400ms/step - loss: 0.0694 - acc: 0.9997 - val_loss: 0.3987 - val_acc: 0.9318
1894 Epoch 3446/5000
1895 80/80 - 32s 403ms/step - loss: 0.0696 - acc: 0.9995 - val_loss: 0.3972 - val_acc: 0.9326
1896 Epoch 3447/5000
1897 80/80 - 32s 400ms/step - loss: 0.0701 - acc: 0.9995 - val_loss: 0.3980 - val_acc: 0.9312
1898 Epoch 3448/5000
1899 80/80 - 32s 399ms/step - loss: 0.0694 - acc: 0.9996 - val_loss: 0.3962 - val_acc: 0.9320
1900 Epoch 3449/5000
1901 80/80 - 32s 399ms/step - loss: 0.0695 - acc: 0.9996 - val_loss: 0.3975 - val_acc: 0.9312
1902 Epoch 3450/5000
1903 80/80 - 32s 399ms/step - loss: 0.0694 - acc: 0.9996 - val_loss: 0.3970 - val_acc: 0.9312
1904 Epoch 3451/5000
1905 80/80 - 32s 399ms/step - loss: 0.0691 - acc: 0.9997 - val_loss: 0.3978 - val_acc: 0.9321
1906 Epoch 3452/5000
1907 80/80 - 32s 399ms/step - loss: 0.0696 - acc: 0.9995 - val_loss: 0.3989 - val_acc: 0.9312
1908 Epoch 3453/5000
1909 80/80 - 32s 399ms/step - loss: 0.0694 - acc: 0.9996 - val_loss: 0.3965 - val_acc: 0.9318
1910 Epoch 3454/5000
1911 80/80 - 32s 399ms/step - loss: 0.0695 - acc: 0.9996 - val_loss: 0.3975 - val_acc: 0.9325
1912 Epoch 3455/5000
1913 80/80 - 32s 399ms/step - loss: 0.0695 - acc: 0.9996 - val_loss: 0.3956 - val_acc: 0.9324
1914 Epoch 3456/5000
1915 80/80 - 32s 399ms/step - loss: 0.0694 - acc: 0.9995 - val_loss: 0.3971 - val_acc: 0.9317
1916 Epoch 3457/5000
1917 80/80 - 32s 399ms/step - loss: 0.0691 - acc: 0.9997 - val_loss: 0.4000 - val_acc: 0.9310
1918 Epoch 3458/5000
1919 80/80 - 32s 399ms/step - loss: 0.0692 - acc: 0.9997 - val_loss: 0.4000 - val_acc: 0.9306
1920 Epoch 3459/5000
1921 80/80 - 32s 400ms/step - loss: 0.0692 - acc: 0.9996 - val_loss: 0.3998 - val_acc: 0.9308
1922 Epoch 3460/5000
1923 80/80 - 32s 399ms/step - loss: 0.0697 - acc: 0.9995 - val_loss: 0.4010 - val_acc: 0.9305
1924 Epoch 3461/5000
1925 80/80 - 32s 399ms/step - loss: 0.0695 - acc: 0.9996 - val_loss: 0.4010 - val_acc: 0.9315
1926 Epoch 3462/5000
1927 80/80 - 32s 399ms/step - loss: 0.0690 - acc: 0.9997 - val_loss: 0.4004 - val_acc: 0.9311
1928 Epoch 3463/5000
1929 80/80 - 32s 400ms/step - loss: 0.0698 - acc: 0.9995 - val_loss: 0.4018 - val_acc: 0.9298
1930 Epoch 3464/5000
1931 80/80 - 32s 399ms/step - loss: 0.0692 - acc: 0.9997 - val_loss: 0.4016 - val_acc: 0.9311
1932 Epoch 3465/5000
1933 80/80 - 32s 400ms/step - loss: 0.0689 - acc: 0.9996 - val_loss: 0.4037 - val_acc: 0.9309
1934 Epoch 3466/5000
1935 80/80 - 32s 400ms/step - loss: 0.0694 - acc: 0.9995 - val_loss: 0.4020 - val_acc: 0.9313
1936 Epoch 3467/5000
1937 80/80 - 32s 400ms/step - loss: 0.0691 - acc: 0.9996 - val_loss: 0.4016 - val_acc: 0.9314
1938 Epoch 3468/5000
1939 80/80 - 32s 400ms/step - loss: 0.0692 - acc: 0.9996 - val_loss: 0.4034 - val_acc: 0.9307
1940 Epoch 3469/5000
1941 80/80 - 32s 400ms/step - loss: 0.0693 - acc: 0.9996 - val_loss: 0.4013 - val_acc: 0.9309
1942 Epoch 3470/5000
1943 80/80 - 32s 399ms/step - loss: 0.0695 - acc: 0.9994 - val_loss: 0.3997 - val_acc: 0.9326
1944 Epoch 3471/5000
1945 80/80 - 32s 399ms/step - loss: 0.0693 - acc: 0.9996 - val_loss: 0.3991 - val_acc: 0.9320
1946 Epoch 3472/5000
1947 80/80 - 32s 399ms/step - loss: 0.0690 - acc: 0.9997 - val_loss: 0.3995 - val_acc: 0.9321
1948 Epoch 3473/5000
1949 80/80 - 32s 400ms/step - loss: 0.0694 - acc: 0.9995 - val_loss: 0.3990 - val_acc: 0.9310
1950 Epoch 3474/5000
1951 80/80 - 32s 399ms/step - loss: 0.0695 - acc: 0.9995 - val_loss: 0.3964 - val_acc: 0.9320
1952 Epoch 3475/5000
1953 80/80 - 32s 399ms/step - loss: 0.0692 - acc: 0.9996 - val_loss: 0.3959 - val_acc: 0.9320
1954 Epoch 3476/5000
1955 80/80 - 32s 400ms/step - loss: 0.0692 - acc: 0.9995 - val_loss: 0.3968 - val_acc: 0.9316
1956 Epoch 3477/5000
1957 80/80 - 32s 399ms/step - loss: 0.0690 - acc: 0.9996 - val_loss: 0.3976 - val_acc: 0.9307
1958 Epoch 3478/5000
1959 80/80 - 32s 399ms/step - loss: 0.0689 - acc: 0.9996 - val_loss: 0.3990 - val_acc: 0.9314
1960 Epoch 3479/5000
1961 80/80 - 32s 401ms/step - loss: 0.0692 - acc: 0.9995 - val_loss: 0.3991 - val_acc: 0.9303
1962 Epoch 3480/5000
1963 80/80 - 32s 401ms/step - loss: 0.0690 - acc: 0.9994 - val_loss: 0.4010 - val_acc: 0.9303
1964 Epoch 3481/5000
1965 80/80 - 32s 403ms/step - loss: 0.0689 - acc: 0.9995 - val_loss: 0.4028 - val_acc: 0.9305
1966 Epoch 3482/5000
1967 80/80 - 32s 401ms/step - loss: 0.0689 - acc: 0.9996 - val_loss: 0.4030 - val_acc: 0.9295
1968 Epoch 3483/5000
1969 80/80 - 32s 400ms/step - loss: 0.0694 - acc: 0.9995 - val_loss: 0.4027 - val_acc: 0.9311
1970 Epoch 3484/5000
1971 80/80 - 32s 399ms/step - loss: 0.0690 - acc: 0.9996 - val_loss: 0.4002 - val_acc: 0.9316
1972 Epoch 3485/5000
1973 80/80 - 32s 402ms/step - loss: 0.0684 - acc: 0.9999 - val_loss: 0.3992 - val_acc: 0.9321
1974 Epoch 3486/5000
1975 80/80 - 32s 406ms/step - loss: 0.0690 - acc: 0.9997 - val_loss: 0.3999 - val_acc: 0.9318
1976 Epoch 3487/5000
1977 80/80 - 32s 399ms/step - loss: 0.0686 - acc: 0.9997 - val_loss: 0.4016 - val_acc: 0.9309
1978 Epoch 3488/5000
1979 80/80 - 32s 399ms/step - loss: 0.0690 - acc: 0.9996 - val_loss: 0.4020 - val_acc: 0.9308
1980 Epoch 3489/5000
1981 80/80 - 32s 399ms/step - loss: 0.0688 - acc: 0.9996 - val_loss: 0.4028 - val_acc: 0.9317
1982 Epoch 3490/5000
1983 80/80 - 32s 399ms/step - loss: 0.0688 - acc: 0.9996 - val_loss: 0.4028 - val_acc: 0.9315
1984 Epoch 3491/5000
1985 80/80 - 32s 399ms/step - loss: 0.0691 - acc: 0.9995 - val_loss: 0.4039 - val_acc: 0.9304
1986 Epoch 3492/5000
1987 80/80 - 32s 400ms/step - loss: 0.0691 - acc: 0.9995 - val_loss: 0.4039 - val_acc: 0.9293
1988 Epoch 3493/5000
1989 80/80 - 32s 399ms/step - loss: 0.0690 - acc: 0.9996 - val_loss: 0.4023 - val_acc: 0.9307
1990 Epoch 3494/5000
1991 80/80 - 32s 400ms/step - loss: 0.0685 - acc: 0.9997 - val_loss: 0.4025 - val_acc: 0.9304
1992 Epoch 3495/5000
1993 80/80 - 32s 401ms/step - loss: 0.0689 - acc: 0.9995 - val_loss: 0.4058 - val_acc: 0.9295
1994 Epoch 3496/5000
1995 80/80 - 32s 402ms/step - loss: 0.0684 - acc: 0.9997 - val_loss: 0.4029 - val_acc: 0.9308
1996 Epoch 3497/5000
1997 80/80 - 32s 400ms/step - loss: 0.0684 - acc: 0.9997 - val_loss: 0.4028 - val_acc: 0.9298
1998 Epoch 3498/5000
1999 80/80 - 32s 401ms/step - loss: 0.0687 - acc: 0.9996 - val_loss: 0.3992 - val_acc: 0.9319
2000 Epoch 3499/5000
2001 80/80 - 32s 401ms/step - loss: 0.0685 - acc: 0.9997 - val_loss: 0.3977 - val_acc: 0.9312
2002 Epoch 3500/5000
2003 80/80 - 32s 400ms/step - loss: 0.0685 - acc: 0.9995 - val_loss: 0.3981 - val_acc: 0.9313
2004 Epoch 3501/5000
2005 80/80 - 32s 400ms/step - loss: 0.0688 - acc: 0.9995 - val_loss: 0.4005 - val_acc: 0.9320
2006 Epoch 3502/5000
2007 80/80 - 32s 400ms/step - loss: 0.0682 - acc: 0.9998 - val_loss: 0.3992 - val_acc: 0.9312
2008 Epoch 3503/5000
2009 80/80 - 32s 400ms/step - loss: 0.0684 - acc: 0.9996 - val_loss: 0.3993 - val_acc: 0.9306
2010 Epoch 3504/5000
2011 80/80 - 32s 400ms/step - loss: 0.0687 - acc: 0.9995 - val_loss: 0.4003 - val_acc: 0.9306
2012 Epoch 3505/5000
2013 80/80 - 32s 401ms/step - loss: 0.0685 - acc: 0.9997 - val_loss: 0.4017 - val_acc: 0.9301
2014 Epoch 3506/5000
2015 80/80 - 32s 401ms/step - loss: 0.0682 - acc: 0.9997 - val_loss: 0.4053 - val_acc: 0.9299
2016 Epoch 3507/5000
2017 80/80 - 32s 401ms/step - loss: 0.0682 - acc: 0.9997 - val_loss: 0.4047 - val_acc: 0.9301
2018 Epoch 3508/5000
2019 80/80 - 32s 400ms/step - loss: 0.0689 - acc: 0.9994 - val_loss: 0.4059 - val_acc: 0.9289
2020 Epoch 3509/5000
2021 80/80 - 32s 402ms/step - loss: 0.0687 - acc: 0.9995 - val_loss: 0.4074 - val_acc: 0.9289
2022 Epoch 3510/5000
2023 80/80 - 32s 402ms/step - loss: 0.0686 - acc: 0.9995 - val_loss: 0.4042 - val_acc: 0.9301
2024 Epoch 3511/5000
2025 80/80 - 32s 400ms/step - loss: 0.0685 - acc: 0.9995 - val_loss: 0.4029 - val_acc: 0.9308
2026 Epoch 3512/5000
2027 80/80 - 32s 401ms/step - loss: 0.0687 - acc: 0.9996 - val_loss: 0.4020 - val_acc: 0.9301
2028 Epoch 3513/5000
2029 80/80 - 32s 398ms/step - loss: 0.0682 - acc: 0.9997 - val_loss: 0.3987 - val_acc: 0.9305
2030 Epoch 3514/5000
2031 80/80 - 32s 400ms/step - loss: 0.0683 - acc: 0.9996 - val_loss: 0.3991 - val_acc: 0.9302
2032 Epoch 3515/5000
2033 80/80 - 32s 399ms/step - loss: 0.0688 - acc: 0.9996 - val_loss: 0.3989 - val_acc: 0.9307
2034 Epoch 3516/5000
2035 80/80 - 32s 398ms/step - loss: 0.0687 - acc: 0.9995 - val_loss: 0.4004 - val_acc: 0.9313
2036 Epoch 3517/5000
2037 80/80 - 32s 400ms/step - loss: 0.0681 - acc: 0.9996 - val_loss: 0.3996 - val_acc: 0.9313
2038 Epoch 3518/5000
2039 80/80 - 32s 399ms/step - loss: 0.0683 - acc: 0.9997 - val_loss: 0.4004 - val_acc: 0.9308
2040 Epoch 3519/5000
2041 80/80 - 32s 399ms/step - loss: 0.0686 - acc: 0.9995 - val_loss: 0.4002 - val_acc: 0.9306
2042 Epoch 3520/5000
2043 80/80 - 32s 400ms/step - loss: 0.0687 - acc: 0.9995 - val_loss: 0.4007 - val_acc: 0.9310
2044 Epoch 3521/5000
2045 80/80 - 32s 400ms/step - loss: 0.0684 - acc: 0.9996 - val_loss: 0.4021 - val_acc: 0.9318
2046 Epoch 3522/5000
2047 80/80 - 32s 399ms/step - loss: 0.0683 - acc: 0.9996 - val_loss: 0.4033 - val_acc: 0.9320
2048 Epoch 3523/5000
2049 80/80 - 32s 400ms/step - loss: 0.0681 - acc: 0.9997 - val_loss: 0.4064 - val_acc: 0.9316
2050 Epoch 3524/5000
2051 80/80 - 34s 424ms/step - loss: 0.0681 - acc: 0.9996 - val_loss: 0.4061 - val_acc: 0.9309
2052 Epoch 3525/5000
2053 80/80 - 32s 398ms/step - loss: 0.0680 - acc: 0.9997 - val_loss: 0.4032 - val_acc: 0.9310
2054 Epoch 3526/5000
2055 80/80 - 32s 397ms/step - loss: 0.0681 - acc: 0.9995 - val_loss: 0.4033 - val_acc: 0.9317
2056 Epoch 3527/5000
2057 80/80 - 32s 398ms/step - loss: 0.0681 - acc: 0.9995 - val_loss: 0.4034 - val_acc: 0.9317
2058 Epoch 3528/5000
2059 80/80 - 32s 398ms/step - loss: 0.0681 - acc: 0.9996 - val_loss: 0.4021 - val_acc: 0.9317
2060 Epoch 3529/5000
2061 80/80 - 32s 398ms/step - loss: 0.0682 - acc: 0.9996 - val_loss: 0.4032 - val_acc: 0.9317
2062 Epoch 3530/5000
2063 80/80 - 32s 398ms/step - loss: 0.0678 - acc: 0.9997 - val_loss: 0.4026 - val_acc: 0.9316
2064 Epoch 3531/5000
2065 80/80 - 32s 398ms/step - loss: 0.0679 - acc: 0.9996 - val_loss: 0.4000 - val_acc: 0.9312
2066 Epoch 3532/5000
2067 80/80 - 32s 398ms/step - loss: 0.0682 - acc: 0.9995 - val_loss: 0.4004 - val_acc: 0.9325
2068 Epoch 3533/5000
2069 80/80 - 32s 398ms/step - loss: 0.0683 - acc: 0.9996 - val_loss: 0.4012 - val_acc: 0.9320
2070 Epoch 3534/5000
2071 80/80 - 32s 398ms/step - loss: 0.0681 - acc: 0.9996 - val_loss: 0.4006 - val_acc: 0.9320
2072 Epoch 3535/5000
2073 80/80 - 32s 398ms/step - loss: 0.0678 - acc: 0.9996 - val_loss: 0.4026 - val_acc: 0.9308
2074 Epoch 3536/5000
2075 80/80 - 32s 398ms/step - loss: 0.0675 - acc: 0.9997 - val_loss: 0.4037 - val_acc: 0.9306
2076 Epoch 3537/5000
2077 80/80 - 32s 398ms/step - loss: 0.0683 - acc: 0.9995 - val_loss: 0.4056 - val_acc: 0.9296
2078 Epoch 3538/5000
2079 80/80 - 32s 398ms/step - loss: 0.0684 - acc: 0.9995 - val_loss: 0.4053 - val_acc: 0.9313
2080 Epoch 3539/5000
2081 80/80 - 32s 400ms/step - loss: 0.0682 - acc: 0.9995 - val_loss: 0.4037 - val_acc: 0.9305
2082 Epoch 3540/5000
2083 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?数据增强部分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

https://ieeexplore.ieee.org/document/8998530

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