Interpreting Convolutional Neural Networks#
Learning Goals#
In this tutorial, you will practice analyzing and interpreting a convolutional neural network.
This tutorial assumes a basic knowledge of convolutional neural networks. We will utilize the model described in Classifying_JWST-HST_galaxy_mergers_with_CNNs, so it is recommended to complete that notebook before reading this one.
Introduction#
Machine learning techniques can be powerful tools for categorizing data and performing data analysis questions. However, machine learning techniques often involve a lot of hidden computation that is not immediately meaningful. The black-box nature of intermediary processes, especially in layered neural networks, can make it difficult to interpret and understand. The goal of this notebook is to familiarize you with some of the various techniques used to make sense of machine learning and convolutional neural networks (CNNs) in particular. CNNs in particular can be very difficult to interpret due to their multi-layered structure and convolutional layers. In this notebook, we will examine two methods of visualizing CNN results (Backpropagation and Grad-CAM) and another method for testing model architecture.
Load the data
Split the data into training, validation, and testing sets
Build and train a model
Apply some interpretation technique to understand your results from a physical perspective.
Dependencies#
This notebook uses the following packages:
numpyto handle array functionsastropyfor downloading and accessing FITS filesmatplotlib.pyplotfor plotting datakerasandtensorflowfor building the CNNsklearnfor some utility functions
If you do not have these packages installed, you can install them using pip or conda.
Further information about the original model can be found at the Hello Universe codebase.
Author:
Oliver Lin, oliverlin2004@gmail.com
Additional Contributors:
Daisuke Nagai, daisuke.nagai@yale.edu.
Michelle Ntampaka, mntampaka@stsci.edu.
Published: 2024-05-08
# arrays
import numpy as np
# fits
from astropy.io import fits
from astropy.utils.data import download_file
from astropy.visualization import simple_norm
# plotting
from matplotlib import pyplot as plt
# keras
from keras.models import Model
from keras.layers import Input, Flatten, Dense, Dropout, BatchNormalization, Convolution2D, MaxPooling2D
# from keras.layers.convolutional import Convolution2D, MaxPooling2D
from keras.regularizers import l2
# sklearn
from sklearn.model_selection import train_test_split
# tensorflow for saliency
import tensorflow as tf
import cv2
2026-07-28 19:05:35.596864: I external/local_tsl/tsl/cuda/cudart_stub.cc:31] Could not find cuda drivers on your machine, GPU will not be used.
2026-07-28 19:05:35.629811: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
2026-07-28 19:05:35.629848: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
2026-07-28 19:05:35.630816: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
2026-07-28 19:05:35.636606: I external/local_tsl/tsl/cuda/cudart_stub.cc:31] Could not find cuda drivers on your machine, GPU will not be used.
2026-07-28 19:05:35.637523: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
2026-07-28 19:05:36.451186: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
Reloading our Model#
To start, we need to reload our model from the previous galaxy classification notebook from the Mikulski Archive for Space Telescopes (MAST). The following code is directly copied over from that notebook. For a quick refresher, the model intakes a FITS file from a high level science product hosted by MAST. There are 15,426 observations in total, each taken with three filters (F814W from the Advanced Camera for Surveys and F160W from the Wide Field Camera 3 on the Hubble Space Telescope (HST), and F160W and F356W from Near Infrared Camera on the James Webb Space Telescope (JWST)). The model then applies a Convolutional Neural Network to classify whether a galaxy has undergone a merger.
version = 'pristine'
file_url = 'https://archive.stsci.edu/hlsps/deepmerge/hlsp_deepmerge_hst-jwst_acs-wfc3-nircam_illustris-z2_f814w-f160w-f356w_v1_sim-'+version+'.fits'
hdu = fits.open(download_file(file_url, cache=True, show_progress=True))
Build and Compile the Convolutional Model#
For the sake of transparency, we will rebuild the model using the same architecture as the original notebook. The model can also be loaded directly by using save_model and load_model from the Keras package.
X = hdu[0].data
y = hdu[1].data
Following the authors, we will split the data into 70:10:20 ratio of train:validate:test. As above, set the random seed to randomly split the images in a repeatable way. Feel free to try different values!
random_state = 42
X = np.asarray(X).astype('float32')
y = np.asarray(y).astype('float32')
# First split off 30% of the data for validation+testing
X_train, X_split, y_train, y_split = train_test_split(X, y, test_size=0.3, random_state=random_state, shuffle=True)
# Then divide this subset into training and testing sets
X_valid, X_test, y_valid, y_test = train_test_split(X_split, y_split, test_size=0.666, random_state=random_state, shuffle=True)
imsize = np.shape(X_train)[2]
X_train = np.array([np.stack(x, axis=2) for x in X_train])
X_valid = np.array([np.stack(x, axis=2) for x in X_valid])
X_test = np.array([np.stack(x, axis=2) for x in X_test])
Generate the model architecture (written for Keras 2)#
# Define architecture for model
data_shape = np.shape(X)
input_shape = (imsize, imsize, 3)
x_in = Input(shape=input_shape)
c0 = Convolution2D(8, (5, 5), activation='relu', strides=(1, 1), padding='same')(x_in)
b0 = BatchNormalization()(c0)
d0 = MaxPooling2D(pool_size=(2, 2), strides=None, padding='valid')(b0)
e0 = Dropout(0.5)(d0)
c1 = Convolution2D(16, (3, 3), activation='relu', strides=(1, 1), padding='same')(e0)
b1 = BatchNormalization()(c1)
d1 = MaxPooling2D(pool_size=(2, 2), strides=None, padding='valid')(b1)
e1 = Dropout(0.5)(d1)
c2 = Convolution2D(32, (3, 3), activation='relu', strides=(1, 1), padding='same')(e1)
b2 = BatchNormalization()(c2)
d2 = MaxPooling2D(pool_size=(2, 2), strides=None, padding='valid')(b2)
e2 = Dropout(0.5)(d2)
f = Flatten()(e2)
z0 = Dense(64, activation='softmax', kernel_regularizer=l2(0.0001))(f)
z1 = Dense(32, activation='softmax', kernel_regularizer=l2(0.0001))(z0)
y_out = Dense(1, activation='sigmoid')(z1)
cnn = Model(inputs=x_in, outputs=y_out)
Compile Model#
optimizer = 'adam'
fit_metrics = ['accuracy']
loss = 'binary_crossentropy'
cnn.compile(loss=loss, optimizer=optimizer, metrics=fit_metrics)
Load pretrained weights#
file_url = 'https://archive.stsci.edu/hlsps/hellouniverse/hellouniverse_interpretability_best_weights.hdf5'
cnn.load_weights(download_file(file_url, cache=True, show_progress=True))
2026-07-28 19:05:39.235445: W tensorflow/core/util/tensor_slice_reader.cc:98] Could not open /home/runner/.astropy/cache/download/url/75479cba1a5e1313befcce7b9c2f3f36/contents: DATA_LOSS: not an sstable (bad magic number): perhaps your file is in a different file format and you need to use a different restore operator?
1. Saliency Maps#
We will start by introducing the most popular and well known method of interpreting CNNs. A saliency map can help us identify which pixels are significant to the models final prediction. There are many methods of calculating saliency maps, but the most popular method utilizes gradient backpropagation to determine the significance of pixels at each layer of the model. To calculate the saliency map, the error gradient at each layer is calculated and then fed into the previous layer, repeating until we reach the original image. Then the pixels with the highest gradient values will also have the most effect on the model’s activation. This methodology is described in detail by Simonyan et al. 2013.
Dependencies#
tensorflow.GradientTape() is used to track the gradient of the function.
# Choose the image to analyze
img_idx = 1
# We can change the index to any number in range of the test set
orig_img = X_test[img_idx]
img = orig_img
img = img.reshape((1, *img.shape))
norm = simple_norm(orig_img, 'log', max_percent=99.75)
scaled_img = norm(orig_img)
images = tf.Variable(img, dtype=float)
# Make a prediction and track gradients
with tf.GradientTape() as tape:
pred = cnn(images, training=False)
class_idxs_sorted = np.argsort(pred.numpy().flatten())[::-1]
loss = pred[class_idxs_sorted[0]]
grads = tape.gradient(loss, images)
Plot the original image and the saliency map#
Saliency maps provide an intuitive understanding of how the model works. The hot pixels represent higher activation and more importance. In the below model, the saliency maps demonstrates that the model focuses on the area around the center of the galaxy for the majority of galaxies. Our results are in line with a corroborating result by Ntampaka et al. 2018, suggesting that the key features of a galaxy are found the ring around the galaxy rather than in the center of the galaxy.
y_pred = cnn.predict(img)
dgrad_abs = tf.math.abs(grads)
dgrad_max_ = np.max(dgrad_abs, axis=3)[0]
# normalize to range between 0 and 1
arr_min, arr_max = np.min(dgrad_max_), np.max(dgrad_max_)
grad_eval = (dgrad_max_ - arr_min) / (arr_max - arr_min + 1e-18)
# Plot the results next to the original image
fig, axes = plt.subplots(1, 3, figsize=(14, 5))
axes[0].imshow(orig_img)
axes[0].set_title("orig_img")
axes[1].imshow(scaled_img)
axes[1].set_title("scaled_img")
i = axes[2].imshow(grad_eval, cmap="turbo")
fig.colorbar(i)
axes[2].set_title("heat_map")
fig.suptitle("prediction_val=" + str(y_pred))
1/1 [==============================] - ETA: 0s
1/1 [==============================] - 0s 97ms/step
Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers). Got range [1.822696e-08..8.880155].
Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers). Got range [0.0..1.2109969226408994].
Text(0.5, 0.98, 'prediction_val=[[0.44489214]]')
Image caption: The above image contains three panels in a horizontal row. The first panel shows the original image of a merging galaxy candidate, the second panel shows a logarithmically-scaled version of the original image, and the third panel shows a heat map of the saliency map.
Create a stack of saliency images#
To understand the overall behavior of our algorithm, we can stack some or all of the saliency maps in the test set to generate an overarching estimate of important pixels. For the sake of simplicity, we will stack the saliency maps for the first 100 images in the test set. Our results once again indicate that the region around a galaxy is particularly important to the model.
sum_map = np.zeros((75, 75))
# Summing the first 100 saliencies. We can change
# the range to sum more or less saliencies or pick
# specific ones
for i in range(100):
img = X_test[img_idx]
img = img.reshape((1, *img.shape))
images = tf.Variable(img, dtype=float)
# Make a prediction and track gradients
with tf.GradientTape() as tape:
pred = cnn(images, training=False)
class_idxs_sorted = np.argsort(pred.numpy().flatten())[::-1]
loss = pred[class_idxs_sorted[0]]
grads = tape.gradient(loss, images)
y_pred = cnn.predict(images, verbose=0)
dgrad_abs = tf.math.abs(grads)
dgrad_max_ = np.max(dgrad_abs, axis=3)[0]
# normalize to range between 0 and 1
arr_min, arr_max = np.min(dgrad_max_), np.max(dgrad_max_)
grad_eval = (dgrad_max_ - arr_min) / (arr_max - arr_min)
sum_map += grad_eval
plt.imshow(sum_map, cmap='turbo')
<matplotlib.image.AxesImage at 0x7f9574a1b450>
Image caption: The above image contains a single panel, and shows a stacked version of the saliency maps from 100 images.
2. Grad-CAM#
While gradient backpropagation has historically been the most popular type of saliency map, the highly connected nature of backtracking has been shown to produce high variance under small changes to inputs. As such, gradient backpropagation is extremely sensitive to data manipulation (preprocessing, sensitivity analysis, GANs), raising questions about its reliability and validity. Gradient Class Activation Mapping (Grad-CAM) is an alternative method for generating saliency models that only examines the gradient of the final convolutional layer when producing the map. As a consequence, Grad-CAM maps have lower (coarser) resolution than backpropagation but are far more resilient to small changes and therefore more reliable when tuning a model. A full description of the technique can be found in Selveraju et al. 2016.
The code for Grad-CAM comes from a useful tutorial on the subject by Daniel Reiff. For more information, please visit the full tutorial.
Dependencies#
Open_CV and astropy.simple_norm are used to do manipulate the image for display. Alternatively, we could allow Python to automatically clip the image when the heatmap is out of range.
# Choose the image to analyze
img_idx = 1
# We can change the index to any number in range of the test set
orig_img = X_test[img_idx]
img = orig_img
img = img.reshape((1, *img.shape))
norm = simple_norm(orig_img, 'log', max_percent=99.75)
scaled_img = norm(orig_img)
# Note: recompiling the model will change the layer
# name. In that case, you can either restart the
# kernel or change the layer_name.
# We can also change the layer selected here to pull out any layer of our model
gradModel = Model(inputs=[cnn.inputs], outputs=[cnn.get_layer("conv2d_2").output, cnn.output])
with tf.GradientTape() as tape:
# get the loss with associated with the prediction
inputs = tf.cast(X_test, tf.float32)
(convOutputs, predictions) = gradModel(inputs)
loss = predictions[:, 0]
# use automatic differentiation to compute the gradients
grads = tape.gradient(loss, convOutputs)
# compute the guided gradients by removing all nonpositive
# gradients
castConvOutputs = tf.cast(convOutputs > 0, "float32")
castGrads = tf.cast(grads > 0, "float32")
guidedGrads = castConvOutputs * castGrads * grads
# pick out the convolution and gradient of the chosen image
convOutputs = convOutputs[img_idx]
guidedGrads = guidedGrads[img_idx]
# compute the average of the gradient values, and using them
# as weights, compute the importance of the pieces
weights = tf.reduce_mean(guidedGrads, axis=(0, 1))
cam = tf.reduce_sum(tf.multiply(weights, convOutputs), axis=-1)
# grab the spatial dimensions of the input image and resize
# the output class activation map to match the input image
# dimensions
(w, h) = (X_test.shape[2], X_test.shape[1])
heatmap = cv2.resize(cam.numpy(), (w, h))
# normalize the heatmap such that all values lie in the range
# [0, 1], scale the resulting values to the range [0, 255],
# and then convert to an unsigned 8-bit integer
2026-07-28 19:05:42.424701: W external/local_tsl/tsl/framework/cpu_allocator_impl.cc:83] Allocation of 554940000 exceeds 10% of free system memory.
2026-07-28 19:05:43.326282: W external/local_tsl/tsl/framework/cpu_allocator_impl.cc:83] Allocation of 554940000 exceeds 10% of free system memory.
2026-07-28 19:05:43.399682: W external/local_tsl/tsl/framework/cpu_allocator_impl.cc:83] Allocation of 554940000 exceeds 10% of free system memory.
2026-07-28 19:05:43.442876: W external/local_tsl/tsl/framework/cpu_allocator_impl.cc:83] Allocation of 554940000 exceeds 10% of free system memory.
2026-07-28 19:05:44.974962: W external/local_tsl/tsl/framework/cpu_allocator_impl.cc:83] Allocation of 554940000 exceeds 10% of free system memory.
y_pred = cnn.predict(img)
# Plot the results next to the original image
fig, axes = plt.subplots(1, 3, figsize=(14, 5))
axes[0].imshow(orig_img)
axes[0].set_title("orig_img")
axes[1].imshow(scaled_img)
axes[1].set_title("scaled_img")
i = axes[2].imshow(heatmap, cmap="turbo")
fig.colorbar(i)
axes[2].set_title("heat_map")
fig.suptitle("prediction_val=" + str(y_pred))
1/1 [==============================] - ETA: 0s
1/1 [==============================] - 0s 14ms/step
Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers). Got range [1.822696e-08..8.880155].
Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers). Got range [0.0..1.2109969226408994].
Text(0.5, 0.98, 'prediction_val=[[0.44489214]]')
Image caption: The above image contains three panels in a horizontal row. The first panel shows the original image of a merging galaxy candidate, the second panel shows a logarithmically-scaled version of the original image, and the third panel shows a heat map of the grad-cam map.
The result is very similar to our saliency map from backpropagation, although the image is coarser and also shows both the top and bottom of the galaxy. We can also play around with the selected layer to calculate the output at different steps in the model and see how activation changes throughout the model.
3. RISE Algorithm#
The RISE (Randomized Input Sampling for Explanation) Algorithm is another interpretation technique for calculating saliency maps. Instead of calculating gradients from within the model, the RISE implementation works by covering up pieces of the input image, running it through the model, and calculating the average activation in order to determine what parts of the image are most important. As such, this method does not require any access to the inner workings of the model. The algorithm first generates a random sequence of binary grids (called masks), which are placed onto the image. Everything not covered by the mask is removed by multiplying the images together, and the resultant activations are averaged to get our final heatmap. A full description of the algorithm and its variations is provided by Petsiuk et al. 2018.
# Choose the image to analyze
img_idx = 6
# We can change the index to any number in range of the test set
image = X_test[img_idx]
N = 1000 # Number of masks
s = 8 # Size of the grid
p1 = 0.5 # Probability of the cell being set to 1
cell_size = np.ceil(np.array(input_shape[:2]) / s).astype(int)
up_size = (s * cell_size).astype(int)
grid = np.random.rand(N, s, s) < p1
masks = np.empty((N, *input_shape[:2]))
for i in range(N):
# Randomly place the grid on the image
x = np.random.randint(0, input_shape[0]-s)
y = np.random.randint(0, input_shape[1]-s)
mask = np.pad(grid[i], ((x, input_shape[0]-x-s), (y, input_shape[0]-y-s)), 'constant', constant_values=(0, 0))
mask = mask[:input_shape[0], :input_shape[1]]
masks[i] = mask
masks = masks.reshape(-1, *input_shape[:2], 1)
N = len(masks)
pred_masks = cnn.predict(image * masks)
pred_masks = np.expand_dims(pred_masks, axis=-1)
pred_masks = np.expand_dims(pred_masks, axis=-1) # Reshape pred_masks for broadcasting
heatmap = (pred_masks * masks).sum(axis=0)
heatmap = heatmap / N / p1
1/32 [..............................] - ETA: 1s
4/32 [==>...........................] - ETA: 0s
7/32 [=====>........................] - ETA: 0s
10/32 [========>.....................] - ETA: 0s
13/32 [===========>..................] - ETA: 0s
16/32 [==============>...............] - ETA: 0s
19/32 [================>.............] - ETA: 0s
22/32 [===================>..........] - ETA: 0s
25/32 [======================>.......] - ETA: 0s
28/32 [=========================>....] - ETA: 0s
31/32 [============================>.] - ETA: 0s
32/32 [==============================] - 1s 17ms/step
# Plot the results next to the original image
fig, axes = plt.subplots(1, 2, figsize=(14, 5))
axes[0].imshow(image)
axes[0].set_title("orig_img")
i = axes[1].imshow(heatmap, cmap="turbo")
fig.colorbar(i)
axes[1].set_title("heat_map")
Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers). Got range [0.00022207294..674.50696].
Text(0.5, 1.0, 'heat_map')
Image caption: The above image contains two panels in a horizontal row. The first panel shows the original image of a merginig galaxy candidate, and the second panel shows a heat map of the RISE map.
When examining the selected image, we see a ring around the galactic center. Note that this is not the case for all astronomical images, or even all images in this dataset. Try playing around with the selected image to generate different saliency maps. For images where the central feature is relatively small, RISE’s occlusion-based methodology can be unreliable.
4. Ablation Analysis#
Saliency maps provide an intuitive visual understanding of our model’s focus and can be useful for understanding the physical relevance of our classification scheme. In order to understand the efficacy of our model’s architecture, we can instead use ablation analysis to determine the most important layers of our model. Ablation analysis works by rebuilding our model without a specified layer of interest and testing and comparing the performance of a partial model. Since we are focusing on our model’s internal architecture rather than the features of the dataset we are looking at, we want to use this technique when trying to improve the training metrics of our model by editing its layers. This method allows us to determine which layers of the model are most important, or if some layers are hindering the learning capabilities of our mode
In the exercise below, we will build and train four mini-models on the same data set as before. As this is an educational notebook, we will limit the training time of each model to five epochs. Results with these models may vary considerably due to these training constraints, but we highly encourage you to try modifying this section of the notebook for different results (see Exercises)
Note that performing an ablation analysis will require training multiple models with the same architecture. This can be quite compute intensive on personal computers, so if you are running this notebook locally it is recommended that your device be plugged in before running the analysis.
Dependencies#
Tensorflow is used build our model and train it.
def create_model(ablate=None):
x_in = Input(shape=input_shape)
if ablate != 'c0':
c0 = Convolution2D(8, (5, 5), activation='relu', strides=(1, 1), padding='same')(x_in)
else:
c0 = x_in
b0 = BatchNormalization()(c0)
d0 = MaxPooling2D(pool_size=(2, 2), strides=None, padding='valid')(b0)
e0 = Dropout(0.5)(d0)
if ablate != 'c1':
c1 = Convolution2D(16, (3, 3), activation='relu', strides=(1, 1), padding='same')(e0)
else:
c1 = e0
b1 = BatchNormalization()(c1)
d1 = MaxPooling2D(pool_size=(2, 2), strides=None, padding='valid')(b1)
e1 = Dropout(0.5)(d1)
if ablate != 'c2':
c2 = Convolution2D(32, (3, 3), activation='relu', strides=(1, 1), padding='same')(e1)
else:
c2 = e1
b2 = BatchNormalization()(c2)
d2 = MaxPooling2D(pool_size=(2, 2), strides=None, padding='valid')(b2)
e2 = Dropout(0.5)(d2)
f = Flatten()(e2)
z0 = Dense(64, activation='softmax', kernel_regularizer=l2(0.0001))(f)
z1 = Dense(32, activation='softmax', kernel_regularizer=l2(0.0001))(z0)
y_out = Dense(1, activation='sigmoid')(z1)
cnn = Model(inputs=x_in, outputs=y_out)
return cnn
Since ablation analysis requires training multiple models, it can often be more resource intensive than other methods. However, it can also provide useful information on the way features are organized during training. The following cell can be edited to change how much we want to train our mini-models.
# You can change how much to train each model
# 5 epochs is chosen due to time and computation constraints
num_epochs = 5
# Train the original model
model = create_model()
model.compile(optimizer='adam', loss='binary_crossentropy', metrics=['accuracy'])
model.fit(X_train, y_train, epochs=num_epochs, batch_size=32, validation_data=(X_test, y_test))
# Get baseline performance
baseline_score = model.evaluate(X_test, y_test)
# Ablate each layer and compare performance
layers_to_ablate = ['c0', 'c1', 'c2']
for layer in layers_to_ablate:
model_ablated = create_model(ablate=layer)
model_ablated.compile(optimizer='adam', loss='binary_crossentropy', metrics=['accuracy'])
model_ablated.fit(X_train, y_train, epochs=num_epochs, batch_size=32, validation_data=(X_test, y_test))
ablated_score = model_ablated.evaluate(X_test, y_test)
print(f"Performance drop after ablating {layer}: {baseline_score[1] - ablated_score[1]}")
Epoch 1/5
1/338 [..............................] - ETA: 5:50 - loss: 0.7095 - accuracy: 0.5938
2/338 [..............................] - ETA: 20s - loss: 0.7095 - accuracy: 0.5312
3/338 [..............................] - ETA: 20s - loss: 0.7093 - accuracy: 0.5312
4/338 [..............................] - ETA: 20s - loss: 0.7090 - accuracy: 0.5312
5/338 [..............................] - ETA: 20s - loss: 0.7088 - accuracy: 0.5188
6/338 [..............................] - ETA: 19s - loss: 0.7084 - accuracy: 0.5312
7/338 [..............................] - ETA: 19s - loss: 0.7081 - accuracy: 0.5312
8/338 [..............................] - ETA: 19s - loss: 0.7079 - accuracy: 0.5273
9/338 [..............................] - ETA: 19s - loss: 0.7077 - accuracy: 0.5174
10/338 [..............................] - ETA: 19s - loss: 0.7076 - accuracy: 0.5031
11/338 [..............................] - ETA: 19s - loss: 0.7073 - accuracy: 0.5057
12/338 [>.............................] - ETA: 19s - loss: 0.7071 - accuracy: 0.5026
13/338 [>.............................] - ETA: 19s - loss: 0.7068 - accuracy: 0.5072
14/338 [>.............................] - ETA: 19s - loss: 0.7064 - accuracy: 0.5134
15/338 [>.............................] - ETA: 19s - loss: 0.7063 - accuracy: 0.5063
16/338 [>.............................] - ETA: 19s - loss: 0.7061 - accuracy: 0.5039
17/338 [>.............................] - ETA: 19s - loss: 0.7058 - accuracy: 0.5055
18/338 [>.............................] - ETA: 19s - loss: 0.7057 - accuracy: 0.5000
19/338 [>.............................] - ETA: 18s - loss: 0.7054 - accuracy: 0.5066
20/338 [>.............................] - ETA: 18s - loss: 0.7051 - accuracy: 0.5094
21/338 [>.............................] - ETA: 18s - loss: 0.7050 - accuracy: 0.5045
22/338 [>.............................] - ETA: 18s - loss: 0.7048 - accuracy: 0.5057
23/338 [=>............................] - ETA: 18s - loss: 0.7045 - accuracy: 0.5068
24/338 [=>............................] - ETA: 18s - loss: 0.7043 - accuracy: 0.5078
25/338 [=>............................] - ETA: 18s - loss: 0.7041 - accuracy: 0.5150
26/338 [=>............................] - ETA: 18s - loss: 0.7039 - accuracy: 0.5168
27/338 [=>............................] - ETA: 18s - loss: 0.7036 - accuracy: 0.5197
28/338 [=>............................] - ETA: 18s - loss: 0.7033 - accuracy: 0.5268
29/338 [=>............................] - ETA: 18s - loss: 0.7031 - accuracy: 0.5291
30/338 [=>............................] - ETA: 18s - loss: 0.7028 - accuracy: 0.5344
31/338 [=>............................] - ETA: 18s - loss: 0.7027 - accuracy: 0.5312
32/338 [=>............................] - ETA: 18s - loss: 0.7025 - accuracy: 0.5332
33/338 [=>............................] - ETA: 18s - loss: 0.7021 - accuracy: 0.5398
34/338 [==>...........................] - ETA: 18s - loss: 0.7020 - accuracy: 0.5386
35/338 [==>...........................] - ETA: 18s - loss: 0.7018 - accuracy: 0.5402
36/338 [==>...........................] - ETA: 17s - loss: 0.7017 - accuracy: 0.5391
37/338 [==>...........................] - ETA: 17s - loss: 0.7016 - accuracy: 0.5397
38/338 [==>...........................] - ETA: 17s - loss: 0.7014 - accuracy: 0.5395
39/338 [==>...........................] - ETA: 17s - loss: 0.7012 - accuracy: 0.5401
40/338 [==>...........................] - ETA: 17s - loss: 0.7011 - accuracy: 0.5391
41/338 [==>...........................] - ETA: 17s - loss: 0.7007 - accuracy: 0.5442
42/338 [==>...........................] - ETA: 17s - loss: 0.7005 - accuracy: 0.5461
43/338 [==>...........................] - ETA: 17s - loss: 0.7004 - accuracy: 0.5451
44/338 [==>...........................] - ETA: 17s - loss: 0.7003 - accuracy: 0.5469
45/338 [==>...........................] - ETA: 17s - loss: 0.7001 - accuracy: 0.5465
46/338 [===>..........................] - ETA: 17s - loss: 0.7001 - accuracy: 0.5448
47/338 [===>..........................] - ETA: 17s - loss: 0.7000 - accuracy: 0.5452
48/338 [===>..........................] - ETA: 17s - loss: 0.6998 - accuracy: 0.5449
49/338 [===>..........................] - ETA: 17s - loss: 0.7000 - accuracy: 0.5408
50/338 [===>..........................] - ETA: 17s - loss: 0.6997 - accuracy: 0.5437
51/338 [===>..........................] - ETA: 17s - loss: 0.6994 - accuracy: 0.5478
52/338 [===>..........................] - ETA: 17s - loss: 0.6992 - accuracy: 0.5481
53/338 [===>..........................] - ETA: 17s - loss: 0.6991 - accuracy: 0.5489
54/338 [===>..........................] - ETA: 16s - loss: 0.6992 - accuracy: 0.5451
55/338 [===>..........................] - ETA: 16s - loss: 0.6991 - accuracy: 0.5455
56/338 [===>..........................] - ETA: 16s - loss: 0.6991 - accuracy: 0.5441
57/338 [====>.........................] - ETA: 16s - loss: 0.6989 - accuracy: 0.5455
58/338 [====>.........................] - ETA: 16s - loss: 0.6987 - accuracy: 0.5463
59/338 [====>.........................] - ETA: 16s - loss: 0.6988 - accuracy: 0.5440
60/338 [====>.........................] - ETA: 16s - loss: 0.6986 - accuracy: 0.5448
61/338 [====>.........................] - ETA: 16s - loss: 0.6985 - accuracy: 0.5451
62/338 [====>.........................] - ETA: 16s - loss: 0.6983 - accuracy: 0.5464
63/338 [====>.........................] - ETA: 16s - loss: 0.6983 - accuracy: 0.5451
64/338 [====>.........................] - ETA: 16s - loss: 0.6982 - accuracy: 0.5454
65/338 [====>.........................] - ETA: 16s - loss: 0.6981 - accuracy: 0.5447
66/338 [====>.........................] - ETA: 16s - loss: 0.6981 - accuracy: 0.5440
67/338 [====>.........................] - ETA: 16s - loss: 0.6980 - accuracy: 0.5443
68/338 [=====>........................] - ETA: 16s - loss: 0.6980 - accuracy: 0.5437
69/338 [=====>........................] - ETA: 15s - loss: 0.6980 - accuracy: 0.5421
70/338 [=====>........................] - ETA: 15s - loss: 0.6980 - accuracy: 0.5415
71/338 [=====>........................] - ETA: 15s - loss: 0.6981 - accuracy: 0.5392
72/338 [=====>........................] - ETA: 15s - loss: 0.6981 - accuracy: 0.5382
73/338 [=====>........................] - ETA: 15s - loss: 0.6980 - accuracy: 0.5381
74/338 [=====>........................] - ETA: 15s - loss: 0.6980 - accuracy: 0.5372
75/338 [=====>........................] - ETA: 15s - loss: 0.6980 - accuracy: 0.5362
76/338 [=====>........................] - ETA: 15s - loss: 0.6979 - accuracy: 0.5362
77/338 [=====>........................] - ETA: 15s - loss: 0.6980 - accuracy: 0.5345
78/338 [=====>........................] - ETA: 15s - loss: 0.6979 - accuracy: 0.5357
79/338 [======>.......................] - ETA: 15s - loss: 0.6979 - accuracy: 0.5340
80/338 [======>.......................] - ETA: 15s - loss: 0.6979 - accuracy: 0.5336
81/338 [======>.......................] - ETA: 15s - loss: 0.6977 - accuracy: 0.5351
82/338 [======>.......................] - ETA: 15s - loss: 0.6976 - accuracy: 0.5366
83/338 [======>.......................] - ETA: 15s - loss: 0.6976 - accuracy: 0.5354
84/338 [======>.......................] - ETA: 14s - loss: 0.6975 - accuracy: 0.5361
85/338 [======>.......................] - ETA: 14s - loss: 0.6976 - accuracy: 0.5342
86/338 [======>.......................] - ETA: 14s - loss: 0.6976 - accuracy: 0.5334
87/338 [======>.......................] - ETA: 14s - loss: 0.6975 - accuracy: 0.5341
88/338 [======>.......................] - ETA: 14s - loss: 0.6974 - accuracy: 0.5337
89/338 [======>.......................] - ETA: 14s - loss: 0.6973 - accuracy: 0.5344
90/338 [======>.......................] - ETA: 14s - loss: 0.6973 - accuracy: 0.5344
91/338 [=======>......................] - ETA: 14s - loss: 0.6971 - accuracy: 0.5361
92/338 [=======>......................] - ETA: 14s - loss: 0.6971 - accuracy: 0.5353
93/338 [=======>......................] - ETA: 14s - loss: 0.6971 - accuracy: 0.5353
94/338 [=======>......................] - ETA: 14s - loss: 0.6970 - accuracy: 0.5349
95/338 [=======>......................] - ETA: 14s - loss: 0.6971 - accuracy: 0.5336
96/338 [=======>......................] - ETA: 14s - loss: 0.6970 - accuracy: 0.5342
97/338 [=======>......................] - ETA: 14s - loss: 0.6970 - accuracy: 0.5338
98/338 [=======>......................] - ETA: 14s - loss: 0.6971 - accuracy: 0.5328
99/338 [=======>......................] - ETA: 14s - loss: 0.6970 - accuracy: 0.5335
100/338 [=======>......................] - ETA: 14s - loss: 0.6969 - accuracy: 0.5341
101/338 [=======>......................] - ETA: 13s - loss: 0.6970 - accuracy: 0.5325
102/338 [========>.....................] - ETA: 13s - loss: 0.6968 - accuracy: 0.5337
103/338 [========>.....................] - ETA: 13s - loss: 0.6969 - accuracy: 0.5322
104/338 [========>.....................] - ETA: 13s - loss: 0.6968 - accuracy: 0.5325
105/338 [========>.....................] - ETA: 13s - loss: 0.6967 - accuracy: 0.5333
106/338 [========>.....................] - ETA: 13s - loss: 0.6968 - accuracy: 0.5321
107/338 [========>.....................] - ETA: 13s - loss: 0.6969 - accuracy: 0.5304
108/338 [========>.....................] - ETA: 13s - loss: 0.6969 - accuracy: 0.5298
109/338 [========>.....................] - ETA: 13s - loss: 0.6968 - accuracy: 0.5298
110/338 [========>.....................] - ETA: 13s - loss: 0.6969 - accuracy: 0.5290
111/338 [========>.....................] - ETA: 13s - loss: 0.6968 - accuracy: 0.5296
112/338 [========>.....................] - ETA: 13s - loss: 0.6968 - accuracy: 0.5296
113/338 [=========>....................] - ETA: 13s - loss: 0.6967 - accuracy: 0.5293
114/338 [=========>....................] - ETA: 13s - loss: 0.6968 - accuracy: 0.5280
115/338 [=========>....................] - ETA: 13s - loss: 0.6967 - accuracy: 0.5288
116/338 [=========>....................] - ETA: 13s - loss: 0.6967 - accuracy: 0.5291
117/338 [=========>....................] - ETA: 12s - loss: 0.6966 - accuracy: 0.5294
118/338 [=========>....................] - ETA: 12s - loss: 0.6966 - accuracy: 0.5299
119/338 [=========>....................] - ETA: 12s - loss: 0.6966 - accuracy: 0.5294
120/338 [=========>....................] - ETA: 12s - loss: 0.6966 - accuracy: 0.5294
121/338 [=========>....................] - ETA: 12s - loss: 0.6966 - accuracy: 0.5292
122/338 [=========>....................] - ETA: 12s - loss: 0.6966 - accuracy: 0.5287
123/338 [=========>....................] - ETA: 12s - loss: 0.6966 - accuracy: 0.5282
124/338 [==========>...................] - ETA: 12s - loss: 0.6965 - accuracy: 0.5285
125/338 [==========>...................] - ETA: 12s - loss: 0.6964 - accuracy: 0.5303
126/338 [==========>...................] - ETA: 12s - loss: 0.6963 - accuracy: 0.5317
127/338 [==========>...................] - ETA: 12s - loss: 0.6963 - accuracy: 0.5303
128/338 [==========>...................] - ETA: 12s - loss: 0.6963 - accuracy: 0.5300
129/338 [==========>...................] - ETA: 12s - loss: 0.6963 - accuracy: 0.5305
130/338 [==========>...................] - ETA: 12s - loss: 0.6963 - accuracy: 0.5300
131/338 [==========>...................] - ETA: 12s - loss: 0.6962 - accuracy: 0.5308
132/338 [==========>...................] - ETA: 12s - loss: 0.6962 - accuracy: 0.5303
133/338 [==========>...................] - ETA: 12s - loss: 0.6962 - accuracy: 0.5305
134/338 [==========>...................] - ETA: 12s - loss: 0.6962 - accuracy: 0.5303
135/338 [==========>...................] - ETA: 11s - loss: 0.6961 - accuracy: 0.5310
136/338 [===========>..................] - ETA: 11s - loss: 0.6961 - accuracy: 0.5312
137/338 [===========>..................] - ETA: 11s - loss: 0.6961 - accuracy: 0.5308
138/338 [===========>..................] - ETA: 11s - loss: 0.6960 - accuracy: 0.5308
139/338 [===========>..................] - ETA: 11s - loss: 0.6961 - accuracy: 0.5301
140/338 [===========>..................] - ETA: 11s - loss: 0.6960 - accuracy: 0.5301
141/338 [===========>..................] - ETA: 11s - loss: 0.6961 - accuracy: 0.5295
142/338 [===========>..................] - ETA: 11s - loss: 0.6961 - accuracy: 0.5290
143/338 [===========>..................] - ETA: 11s - loss: 0.6961 - accuracy: 0.5286
144/338 [===========>..................] - ETA: 11s - loss: 0.6960 - accuracy: 0.5291
145/338 [===========>..................] - ETA: 11s - loss: 0.6960 - accuracy: 0.5284
146/338 [===========>..................] - ETA: 11s - loss: 0.6961 - accuracy: 0.5276
147/338 [============>.................] - ETA: 11s - loss: 0.6961 - accuracy: 0.5270
148/338 [============>.................] - ETA: 11s - loss: 0.6960 - accuracy: 0.5274
149/338 [============>.................] - ETA: 11s - loss: 0.6960 - accuracy: 0.5273
150/338 [============>.................] - ETA: 11s - loss: 0.6960 - accuracy: 0.5271
151/338 [============>.................] - ETA: 10s - loss: 0.6959 - accuracy: 0.5281
152/338 [============>.................] - ETA: 10s - loss: 0.6959 - accuracy: 0.5280
153/338 [============>.................] - ETA: 10s - loss: 0.6959 - accuracy: 0.5280
154/338 [============>.................] - ETA: 10s - loss: 0.6959 - accuracy: 0.5272
155/338 [============>.................] - ETA: 10s - loss: 0.6958 - accuracy: 0.5282
156/338 [============>.................] - ETA: 10s - loss: 0.6958 - accuracy: 0.5288
157/338 [============>.................] - ETA: 10s - loss: 0.6957 - accuracy: 0.5291
158/338 [=============>................] - ETA: 10s - loss: 0.6958 - accuracy: 0.5283
159/338 [=============>................] - ETA: 10s - loss: 0.6957 - accuracy: 0.5291
160/338 [=============>................] - ETA: 10s - loss: 0.6957 - accuracy: 0.5287
161/338 [=============>................] - ETA: 10s - loss: 0.6957 - accuracy: 0.5287
162/338 [=============>................] - ETA: 10s - loss: 0.6957 - accuracy: 0.5276
163/338 [=============>................] - ETA: 10s - loss: 0.6956 - accuracy: 0.5284
164/338 [=============>................] - ETA: 10s - loss: 0.6956 - accuracy: 0.5286
165/338 [=============>................] - ETA: 10s - loss: 0.6956 - accuracy: 0.5284
166/338 [=============>................] - ETA: 10s - loss: 0.6956 - accuracy: 0.5282
167/338 [=============>................] - ETA: 10s - loss: 0.6956 - accuracy: 0.5275
168/338 [=============>................] - ETA: 9s - loss: 0.6956 - accuracy: 0.5281
169/338 [==============>...............] - ETA: 9s - loss: 0.6955 - accuracy: 0.5285
170/338 [==============>...............] - ETA: 9s - loss: 0.6955 - accuracy: 0.5285
171/338 [==============>...............] - ETA: 9s - loss: 0.6955 - accuracy: 0.5283
172/338 [==============>...............] - ETA: 9s - loss: 0.6955 - accuracy: 0.5287
173/338 [==============>...............] - ETA: 9s - loss: 0.6955 - accuracy: 0.5282
174/338 [==============>...............] - ETA: 9s - loss: 0.6954 - accuracy: 0.5286
175/338 [==============>...............] - ETA: 9s - loss: 0.6954 - accuracy: 0.5289
176/338 [==============>...............] - ETA: 9s - loss: 0.6954 - accuracy: 0.5284
177/338 [==============>...............] - ETA: 9s - loss: 0.6954 - accuracy: 0.5279
178/338 [==============>...............] - ETA: 9s - loss: 0.6954 - accuracy: 0.5281
179/338 [==============>...............] - ETA: 9s - loss: 0.6954 - accuracy: 0.5279
180/338 [==============>...............] - ETA: 9s - loss: 0.6954 - accuracy: 0.5273
181/338 [===============>..............] - ETA: 9s - loss: 0.6953 - accuracy: 0.5278
182/338 [===============>..............] - ETA: 9s - loss: 0.6952 - accuracy: 0.5287
183/338 [===============>..............] - ETA: 9s - loss: 0.6953 - accuracy: 0.5278
184/338 [===============>..............] - ETA: 9s - loss: 0.6952 - accuracy: 0.5285
185/338 [===============>..............] - ETA: 8s - loss: 0.6952 - accuracy: 0.5287
186/338 [===============>..............] - ETA: 8s - loss: 0.6952 - accuracy: 0.5282
187/338 [===============>..............] - ETA: 8s - loss: 0.6952 - accuracy: 0.5286
188/338 [===============>..............] - ETA: 8s - loss: 0.6951 - accuracy: 0.5289
189/338 [===============>..............] - ETA: 8s - loss: 0.6951 - accuracy: 0.5286
190/338 [===============>..............] - ETA: 8s - loss: 0.6950 - accuracy: 0.5293
191/338 [===============>..............] - ETA: 8s - loss: 0.6951 - accuracy: 0.5283
192/338 [================>.............] - ETA: 8s - loss: 0.6952 - accuracy: 0.5270
193/338 [================>.............] - ETA: 8s - loss: 0.6952 - accuracy: 0.5267
194/338 [================>.............] - ETA: 8s - loss: 0.6951 - accuracy: 0.5275
195/338 [================>.............] - ETA: 8s - loss: 0.6950 - accuracy: 0.5287
196/338 [================>.............] - ETA: 8s - loss: 0.6950 - accuracy: 0.5284
197/338 [================>.............] - ETA: 8s - loss: 0.6950 - accuracy: 0.5276
198/338 [================>.............] - ETA: 8s - loss: 0.6950 - accuracy: 0.5279
199/338 [================>.............] - ETA: 8s - loss: 0.6949 - accuracy: 0.5283
200/338 [================>.............] - ETA: 8s - loss: 0.6950 - accuracy: 0.5277
201/338 [================>.............] - ETA: 8s - loss: 0.6950 - accuracy: 0.5271
202/338 [================>.............] - ETA: 7s - loss: 0.6949 - accuracy: 0.5275
203/338 [=================>............] - ETA: 7s - loss: 0.6950 - accuracy: 0.5271
204/338 [=================>............] - ETA: 7s - loss: 0.6950 - accuracy: 0.5270
205/338 [=================>............] - ETA: 7s - loss: 0.6950 - accuracy: 0.5268
206/338 [=================>............] - ETA: 7s - loss: 0.6950 - accuracy: 0.5262
207/338 [=================>............] - ETA: 7s - loss: 0.6949 - accuracy: 0.5267
208/338 [=================>............] - ETA: 7s - loss: 0.6949 - accuracy: 0.5267
209/338 [=================>............] - ETA: 7s - loss: 0.6949 - accuracy: 0.5272
210/338 [=================>............] - ETA: 7s - loss: 0.6948 - accuracy: 0.5272
211/338 [=================>............] - ETA: 7s - loss: 0.6948 - accuracy: 0.5271
212/338 [=================>............] - ETA: 7s - loss: 0.6948 - accuracy: 0.5274
213/338 [=================>............] - ETA: 7s - loss: 0.6947 - accuracy: 0.5276
214/338 [=================>............] - ETA: 7s - loss: 0.6947 - accuracy: 0.5276
215/338 [==================>...........] - ETA: 7s - loss: 0.6947 - accuracy: 0.5272
216/338 [==================>...........] - ETA: 7s - loss: 0.6947 - accuracy: 0.5271
217/338 [==================>...........] - ETA: 7s - loss: 0.6947 - accuracy: 0.5274
218/338 [==================>...........] - ETA: 7s - loss: 0.6946 - accuracy: 0.5275
219/338 [==================>...........] - ETA: 6s - loss: 0.6946 - accuracy: 0.5274
220/338 [==================>...........] - ETA: 6s - loss: 0.6946 - accuracy: 0.5277
221/338 [==================>...........] - ETA: 6s - loss: 0.6946 - accuracy: 0.5277
222/338 [==================>...........] - ETA: 6s - loss: 0.6946 - accuracy: 0.5276
223/338 [==================>...........] - ETA: 6s - loss: 0.6945 - accuracy: 0.5279
224/338 [==================>...........] - ETA: 6s - loss: 0.6945 - accuracy: 0.5280
225/338 [==================>...........] - ETA: 6s - loss: 0.6944 - accuracy: 0.5286
226/338 [===================>..........] - ETA: 6s - loss: 0.6944 - accuracy: 0.5285
227/338 [===================>..........] - ETA: 6s - loss: 0.6944 - accuracy: 0.5288
228/338 [===================>..........] - ETA: 6s - loss: 0.6944 - accuracy: 0.5286
229/338 [===================>..........] - ETA: 6s - loss: 0.6944 - accuracy: 0.5287
230/338 [===================>..........] - ETA: 6s - loss: 0.6944 - accuracy: 0.5285
231/338 [===================>..........] - ETA: 6s - loss: 0.6944 - accuracy: 0.5287
232/338 [===================>..........] - ETA: 6s - loss: 0.6945 - accuracy: 0.5279
233/338 [===================>..........] - ETA: 6s - loss: 0.6945 - accuracy: 0.5270
234/338 [===================>..........] - ETA: 6s - loss: 0.6945 - accuracy: 0.5276
235/338 [===================>..........] - ETA: 6s - loss: 0.6944 - accuracy: 0.5281
236/338 [===================>..........] - ETA: 5s - loss: 0.6944 - accuracy: 0.5277
237/338 [====================>.........] - ETA: 5s - loss: 0.6944 - accuracy: 0.5272
238/338 [====================>.........] - ETA: 5s - loss: 0.6945 - accuracy: 0.5270
239/338 [====================>.........] - ETA: 5s - loss: 0.6945 - accuracy: 0.5271
240/338 [====================>.........] - ETA: 5s - loss: 0.6945 - accuracy: 0.5267
241/338 [====================>.........] - ETA: 5s - loss: 0.6944 - accuracy: 0.5268
242/338 [====================>.........] - ETA: 5s - loss: 0.6944 - accuracy: 0.5270
243/338 [====================>.........] - ETA: 5s - loss: 0.6944 - accuracy: 0.5269
244/338 [====================>.........] - ETA: 5s - loss: 0.6944 - accuracy: 0.5264
245/338 [====================>.........] - ETA: 5s - loss: 0.6944 - accuracy: 0.5261
246/338 [====================>.........] - ETA: 5s - loss: 0.6945 - accuracy: 0.5257
247/338 [====================>.........] - ETA: 5s - loss: 0.6944 - accuracy: 0.5259
248/338 [=====================>........] - ETA: 5s - loss: 0.6944 - accuracy: 0.5265
249/338 [=====================>........] - ETA: 5s - loss: 0.6943 - accuracy: 0.5265
250/338 [=====================>........] - ETA: 5s - loss: 0.6943 - accuracy: 0.5266
251/338 [=====================>........] - ETA: 5s - loss: 0.6943 - accuracy: 0.5269
252/338 [=====================>........] - ETA: 5s - loss: 0.6942 - accuracy: 0.5269
253/338 [=====================>........] - ETA: 4s - loss: 0.6942 - accuracy: 0.5268
254/338 [=====================>........] - ETA: 4s - loss: 0.6942 - accuracy: 0.5272
255/338 [=====================>........] - ETA: 4s - loss: 0.6943 - accuracy: 0.5262
256/338 [=====================>........] - ETA: 4s - loss: 0.6942 - accuracy: 0.5262
257/338 [=====================>........] - ETA: 4s - loss: 0.6942 - accuracy: 0.5260
258/338 [=====================>........] - ETA: 4s - loss: 0.6943 - accuracy: 0.5254
259/338 [=====================>........] - ETA: 4s - loss: 0.6942 - accuracy: 0.5256
260/338 [======================>.......] - ETA: 4s - loss: 0.6943 - accuracy: 0.5252
261/338 [======================>.......] - ETA: 4s - loss: 0.6942 - accuracy: 0.5256
262/338 [======================>.......] - ETA: 4s - loss: 0.6942 - accuracy: 0.5259
263/338 [======================>.......] - ETA: 4s - loss: 0.6942 - accuracy: 0.5257
264/338 [======================>.......] - ETA: 4s - loss: 0.6942 - accuracy: 0.5251
265/338 [======================>.......] - ETA: 4s - loss: 0.6942 - accuracy: 0.5255
266/338 [======================>.......] - ETA: 4s - loss: 0.6941 - accuracy: 0.5256
267/338 [======================>.......] - ETA: 4s - loss: 0.6941 - accuracy: 0.5256
268/338 [======================>.......] - ETA: 4s - loss: 0.6940 - accuracy: 0.5264
269/338 [======================>.......] - ETA: 4s - loss: 0.6940 - accuracy: 0.5270
270/338 [======================>.......] - ETA: 3s - loss: 0.6940 - accuracy: 0.5266
271/338 [=======================>......] - ETA: 3s - loss: 0.6940 - accuracy: 0.5266
272/338 [=======================>......] - ETA: 3s - loss: 0.6941 - accuracy: 0.5255
273/338 [=======================>......] - ETA: 3s - loss: 0.6941 - accuracy: 0.5255
274/338 [=======================>......] - ETA: 3s - loss: 0.6941 - accuracy: 0.5253
275/338 [=======================>......] - ETA: 3s - loss: 0.6940 - accuracy: 0.5253
276/338 [=======================>......] - ETA: 3s - loss: 0.6940 - accuracy: 0.5250
277/338 [=======================>......] - ETA: 3s - loss: 0.6940 - accuracy: 0.5256
278/338 [=======================>......] - ETA: 3s - loss: 0.6939 - accuracy: 0.5262
279/338 [=======================>......] - ETA: 3s - loss: 0.6939 - accuracy: 0.5267
280/338 [=======================>......] - ETA: 3s - loss: 0.6939 - accuracy: 0.5266
281/338 [=======================>......] - ETA: 3s - loss: 0.6938 - accuracy: 0.5267
282/338 [========================>.....] - ETA: 3s - loss: 0.6939 - accuracy: 0.5260
283/338 [========================>.....] - ETA: 3s - loss: 0.6939 - accuracy: 0.5255
284/338 [========================>.....] - ETA: 3s - loss: 0.6939 - accuracy: 0.5259
285/338 [========================>.....] - ETA: 3s - loss: 0.6939 - accuracy: 0.5261
286/338 [========================>.....] - ETA: 3s - loss: 0.6938 - accuracy: 0.5267
287/338 [========================>.....] - ETA: 2s - loss: 0.6938 - accuracy: 0.5264
288/338 [========================>.....] - ETA: 2s - loss: 0.6938 - accuracy: 0.5263
289/338 [========================>.....] - ETA: 2s - loss: 0.6938 - accuracy: 0.5265
290/338 [========================>.....] - ETA: 2s - loss: 0.6937 - accuracy: 0.5268
291/338 [========================>.....] - ETA: 2s - loss: 0.6937 - accuracy: 0.5267
292/338 [========================>.....] - ETA: 2s - loss: 0.6937 - accuracy: 0.5270
293/338 [=========================>....] - ETA: 2s - loss: 0.6937 - accuracy: 0.5267
294/338 [=========================>....] - ETA: 2s - loss: 0.6937 - accuracy: 0.5267
295/338 [=========================>....] - ETA: 2s - loss: 0.6937 - accuracy: 0.5266
296/338 [=========================>....] - ETA: 2s - loss: 0.6937 - accuracy: 0.5265
297/338 [=========================>....] - ETA: 2s - loss: 0.6937 - accuracy: 0.5263
298/338 [=========================>....] - ETA: 2s - loss: 0.6937 - accuracy: 0.5264
299/338 [=========================>....] - ETA: 2s - loss: 0.6936 - accuracy: 0.5265
300/338 [=========================>....] - ETA: 2s - loss: 0.6936 - accuracy: 0.5267
301/338 [=========================>....] - ETA: 2s - loss: 0.6936 - accuracy: 0.5264
302/338 [=========================>....] - ETA: 2s - loss: 0.6936 - accuracy: 0.5267
303/338 [=========================>....] - ETA: 2s - loss: 0.6936 - accuracy: 0.5268
304/338 [=========================>....] - ETA: 1s - loss: 0.6936 - accuracy: 0.5267
305/338 [==========================>...] - ETA: 1s - loss: 0.6936 - accuracy: 0.5263
306/338 [==========================>...] - ETA: 1s - loss: 0.6935 - accuracy: 0.5263
307/338 [==========================>...] - ETA: 1s - loss: 0.6936 - accuracy: 0.5260
308/338 [==========================>...] - ETA: 1s - loss: 0.6936 - accuracy: 0.5260
309/338 [==========================>...] - ETA: 1s - loss: 0.6935 - accuracy: 0.5262
310/338 [==========================>...] - ETA: 1s - loss: 0.6936 - accuracy: 0.5256
311/338 [==========================>...] - ETA: 1s - loss: 0.6936 - accuracy: 0.5257
312/338 [==========================>...] - ETA: 1s - loss: 0.6936 - accuracy: 0.5255
313/338 [==========================>...] - ETA: 1s - loss: 0.6935 - accuracy: 0.5259
314/338 [==========================>...] - ETA: 1s - loss: 0.6935 - accuracy: 0.5261
315/338 [==========================>...] - ETA: 1s - loss: 0.6934 - accuracy: 0.5263
316/338 [===========================>..] - ETA: 1s - loss: 0.6934 - accuracy: 0.5261
317/338 [===========================>..] - ETA: 1s - loss: 0.6934 - accuracy: 0.5264
318/338 [===========================>..] - ETA: 1s - loss: 0.6934 - accuracy: 0.5264
319/338 [===========================>..] - ETA: 1s - loss: 0.6933 - accuracy: 0.5267
320/338 [===========================>..] - ETA: 1s - loss: 0.6933 - accuracy: 0.5265
321/338 [===========================>..] - ETA: 0s - loss: 0.6933 - accuracy: 0.5265
322/338 [===========================>..] - ETA: 0s - loss: 0.6932 - accuracy: 0.5272
323/338 [===========================>..] - ETA: 0s - loss: 0.6932 - accuracy: 0.5271
324/338 [===========================>..] - ETA: 0s - loss: 0.6933 - accuracy: 0.5265
325/338 [===========================>..] - ETA: 0s - loss: 0.6932 - accuracy: 0.5266
326/338 [===========================>..] - ETA: 0s - loss: 0.6932 - accuracy: 0.5264
327/338 [============================>.] - ETA: 0s - loss: 0.6932 - accuracy: 0.5262
328/338 [============================>.] - ETA: 0s - loss: 0.6932 - accuracy: 0.5263
329/338 [============================>.] - ETA: 0s - loss: 0.6932 - accuracy: 0.5261
330/338 [============================>.] - ETA: 0s - loss: 0.6932 - accuracy: 0.5262
331/338 [============================>.] - ETA: 0s - loss: 0.6932 - accuracy: 0.5264
332/338 [============================>.] - ETA: 0s - loss: 0.6932 - accuracy: 0.5262
333/338 [============================>.] - ETA: 0s - loss: 0.6931 - accuracy: 0.5265
334/338 [============================>.] - ETA: 0s - loss: 0.6931 - accuracy: 0.5268
335/338 [============================>.] - ETA: 0s - loss: 0.6930 - accuracy: 0.5269
336/338 [============================>.] - ETA: 0s - loss: 0.6930 - accuracy: 0.5270
337/338 [============================>.] - ETA: 0s - loss: 0.6929 - accuracy: 0.5272
338/338 [==============================] - 23s 64ms/step - loss: 0.6929 - accuracy: 0.5270 - val_loss: 0.6900 - val_accuracy: 0.5235
Epoch 2/5
1/338 [..............................] - ETA: 19s - loss: 0.7020 - accuracy: 0.4062
2/338 [..............................] - ETA: 19s - loss: 0.6900 - accuracy: 0.5312
3/338 [..............................] - ETA: 19s - loss: 0.6981 - accuracy: 0.4583
4/338 [..............................] - ETA: 19s - loss: 0.6907 - accuracy: 0.5078
5/338 [..............................] - ETA: 19s - loss: 0.6879 - accuracy: 0.5312
6/338 [..............................] - ETA: 19s - loss: 0.6906 - accuracy: 0.5104
7/338 [..............................] - ETA: 19s - loss: 0.6912 - accuracy: 0.5045
8/338 [..............................] - ETA: 19s - loss: 0.6905 - accuracy: 0.5156
9/338 [..............................] - ETA: 19s - loss: 0.6904 - accuracy: 0.5174
10/338 [..............................] - ETA: 19s - loss: 0.6890 - accuracy: 0.5312
11/338 [..............................] - ETA: 18s - loss: 0.6884 - accuracy: 0.5426
12/338 [>.............................] - ETA: 18s - loss: 0.6904 - accuracy: 0.5208
13/338 [>.............................] - ETA: 18s - loss: 0.6910 - accuracy: 0.5120
14/338 [>.............................] - ETA: 18s - loss: 0.6907 - accuracy: 0.5112
15/338 [>.............................] - ETA: 18s - loss: 0.6898 - accuracy: 0.5146
16/338 [>.............................] - ETA: 18s - loss: 0.6899 - accuracy: 0.5098
17/338 [>.............................] - ETA: 18s - loss: 0.6894 - accuracy: 0.5110
18/338 [>.............................] - ETA: 18s - loss: 0.6899 - accuracy: 0.5069
19/338 [>.............................] - ETA: 18s - loss: 0.6907 - accuracy: 0.5049
20/338 [>.............................] - ETA: 18s - loss: 0.6900 - accuracy: 0.5078
21/338 [>.............................] - ETA: 18s - loss: 0.6896 - accuracy: 0.5074
22/338 [>.............................] - ETA: 18s - loss: 0.6894 - accuracy: 0.5071
23/338 [=>............................] - ETA: 18s - loss: 0.6894 - accuracy: 0.5082
24/338 [=>............................] - ETA: 18s - loss: 0.6888 - accuracy: 0.5117
25/338 [=>............................] - ETA: 18s - loss: 0.6894 - accuracy: 0.5050
26/338 [=>............................] - ETA: 17s - loss: 0.6899 - accuracy: 0.5024
27/338 [=>............................] - ETA: 17s - loss: 0.6893 - accuracy: 0.5069
28/338 [=>............................] - ETA: 17s - loss: 0.6895 - accuracy: 0.5056
29/338 [=>............................] - ETA: 17s - loss: 0.6896 - accuracy: 0.5032
30/338 [=>............................] - ETA: 17s - loss: 0.6893 - accuracy: 0.5052
31/338 [=>............................] - ETA: 17s - loss: 0.6895 - accuracy: 0.5030
32/338 [=>............................] - ETA: 17s - loss: 0.6896 - accuracy: 0.5000
33/338 [=>............................] - ETA: 17s - loss: 0.6894 - accuracy: 0.5009
34/338 [==>...........................] - ETA: 17s - loss: 0.6893 - accuracy: 0.5028
35/338 [==>...........................] - ETA: 17s - loss: 0.6894 - accuracy: 0.5018
36/338 [==>...........................] - ETA: 17s - loss: 0.6895 - accuracy: 0.5000
37/338 [==>...........................] - ETA: 17s - loss: 0.6896 - accuracy: 0.5025
38/338 [==>...........................] - ETA: 17s - loss: 0.6895 - accuracy: 0.5066
39/338 [==>...........................] - ETA: 17s - loss: 0.6894 - accuracy: 0.5088
40/338 [==>...........................] - ETA: 17s - loss: 0.6890 - accuracy: 0.5148
41/338 [==>...........................] - ETA: 17s - loss: 0.6887 - accuracy: 0.5191
42/338 [==>...........................] - ETA: 17s - loss: 0.6885 - accuracy: 0.5231
43/338 [==>...........................] - ETA: 17s - loss: 0.6882 - accuracy: 0.5262
44/338 [==>...........................] - ETA: 17s - loss: 0.6881 - accuracy: 0.5277
45/338 [==>...........................] - ETA: 17s - loss: 0.6877 - accuracy: 0.5319
46/338 [===>..........................] - ETA: 17s - loss: 0.6874 - accuracy: 0.5353
47/338 [===>..........................] - ETA: 17s - loss: 0.6873 - accuracy: 0.5379
48/338 [===>..........................] - ETA: 16s - loss: 0.6870 - accuracy: 0.5417
49/338 [===>..........................] - ETA: 16s - loss: 0.6872 - accuracy: 0.5415
50/338 [===>..........................] - ETA: 16s - loss: 0.6870 - accuracy: 0.5450
51/338 [===>..........................] - ETA: 16s - loss: 0.6871 - accuracy: 0.5453
52/338 [===>..........................] - ETA: 16s - loss: 0.6874 - accuracy: 0.5439
53/338 [===>..........................] - ETA: 16s - loss: 0.6875 - accuracy: 0.5442
54/338 [===>..........................] - ETA: 16s - loss: 0.6876 - accuracy: 0.5440
55/338 [===>..........................] - ETA: 16s - loss: 0.6875 - accuracy: 0.5455
56/338 [===>..........................] - ETA: 16s - loss: 0.6873 - accuracy: 0.5469
57/338 [====>.........................] - ETA: 16s - loss: 0.6872 - accuracy: 0.5488
58/338 [====>.........................] - ETA: 16s - loss: 0.6872 - accuracy: 0.5490
59/338 [====>.........................] - ETA: 16s - loss: 0.6872 - accuracy: 0.5498
60/338 [====>.........................] - ETA: 16s - loss: 0.6870 - accuracy: 0.5510
61/338 [====>.........................] - ETA: 16s - loss: 0.6866 - accuracy: 0.5538
62/338 [====>.........................] - ETA: 16s - loss: 0.6869 - accuracy: 0.5519
63/338 [====>.........................] - ETA: 15s - loss: 0.6870 - accuracy: 0.5511
64/338 [====>.........................] - ETA: 15s - loss: 0.6868 - accuracy: 0.5532
65/338 [====>.........................] - ETA: 15s - loss: 0.6866 - accuracy: 0.5562
66/338 [====>.........................] - ETA: 15s - loss: 0.6867 - accuracy: 0.5563
67/338 [====>.........................] - ETA: 15s - loss: 0.6866 - accuracy: 0.5569
68/338 [=====>........................] - ETA: 15s - loss: 0.6864 - accuracy: 0.5579
69/338 [=====>........................] - ETA: 15s - loss: 0.6861 - accuracy: 0.5602
70/338 [=====>........................] - ETA: 15s - loss: 0.6861 - accuracy: 0.5612
71/338 [=====>........................] - ETA: 15s - loss: 0.6862 - accuracy: 0.5612
72/338 [=====>........................] - ETA: 15s - loss: 0.6864 - accuracy: 0.5599
73/338 [=====>........................] - ETA: 15s - loss: 0.6865 - accuracy: 0.5591
74/338 [=====>........................] - ETA: 15s - loss: 0.6865 - accuracy: 0.5604
75/338 [=====>........................] - ETA: 15s - loss: 0.6866 - accuracy: 0.5596
76/338 [=====>........................] - ETA: 15s - loss: 0.6865 - accuracy: 0.5600
77/338 [=====>........................] - ETA: 15s - loss: 0.6865 - accuracy: 0.5609
78/338 [=====>........................] - ETA: 15s - loss: 0.6865 - accuracy: 0.5613
79/338 [======>.......................] - ETA: 15s - loss: 0.6864 - accuracy: 0.5625
80/338 [======>.......................] - ETA: 14s - loss: 0.6864 - accuracy: 0.5625
81/338 [======>.......................] - ETA: 14s - loss: 0.6864 - accuracy: 0.5613
82/338 [======>.......................] - ETA: 14s - loss: 0.6863 - accuracy: 0.5610
83/338 [======>.......................] - ETA: 14s - loss: 0.6863 - accuracy: 0.5629
84/338 [======>.......................] - ETA: 14s - loss: 0.6862 - accuracy: 0.5629
85/338 [======>.......................] - ETA: 14s - loss: 0.6863 - accuracy: 0.5625
86/338 [======>.......................] - ETA: 14s - loss: 0.6863 - accuracy: 0.5636
87/338 [======>.......................] - ETA: 14s - loss: 0.6863 - accuracy: 0.5629
88/338 [======>.......................] - ETA: 14s - loss: 0.6865 - accuracy: 0.5611
89/338 [======>.......................] - ETA: 14s - loss: 0.6863 - accuracy: 0.5625
90/338 [======>.......................] - ETA: 14s - loss: 0.6863 - accuracy: 0.5639
91/338 [=======>......................] - ETA: 14s - loss: 0.6862 - accuracy: 0.5639
92/338 [=======>......................] - ETA: 14s - loss: 0.6863 - accuracy: 0.5639
93/338 [=======>......................] - ETA: 14s - loss: 0.6861 - accuracy: 0.5665
94/338 [=======>......................] - ETA: 14s - loss: 0.6861 - accuracy: 0.5668
95/338 [=======>......................] - ETA: 14s - loss: 0.6862 - accuracy: 0.5671
96/338 [=======>......................] - ETA: 14s - loss: 0.6863 - accuracy: 0.5674
97/338 [=======>......................] - ETA: 13s - loss: 0.6863 - accuracy: 0.5673
98/338 [=======>......................] - ETA: 13s - loss: 0.6863 - accuracy: 0.5666
99/338 [=======>......................] - ETA: 13s - loss: 0.6863 - accuracy: 0.5666
100/338 [=======>......................] - ETA: 13s - loss: 0.6863 - accuracy: 0.5672
101/338 [=======>......................] - ETA: 13s - loss: 0.6864 - accuracy: 0.5671
102/338 [========>.....................] - ETA: 13s - loss: 0.6864 - accuracy: 0.5668
103/338 [========>.....................] - ETA: 13s - loss: 0.6862 - accuracy: 0.5689
104/338 [========>.....................] - ETA: 13s - loss: 0.6861 - accuracy: 0.5703
105/338 [========>.....................] - ETA: 13s - loss: 0.6860 - accuracy: 0.5720
106/338 [========>.....................] - ETA: 13s - loss: 0.6860 - accuracy: 0.5728
107/338 [========>.....................] - ETA: 13s - loss: 0.6858 - accuracy: 0.5745
108/338 [========>.....................] - ETA: 13s - loss: 0.6859 - accuracy: 0.5744
109/338 [========>.....................] - ETA: 13s - loss: 0.6859 - accuracy: 0.5743
110/338 [========>.....................] - ETA: 13s - loss: 0.6858 - accuracy: 0.5759
111/338 [========>.....................] - ETA: 13s - loss: 0.6858 - accuracy: 0.5757
112/338 [========>.....................] - ETA: 13s - loss: 0.6856 - accuracy: 0.5773
113/338 [=========>....................] - ETA: 13s - loss: 0.6856 - accuracy: 0.5772
114/338 [=========>....................] - ETA: 12s - loss: 0.6855 - accuracy: 0.5773
115/338 [=========>....................] - ETA: 12s - loss: 0.6856 - accuracy: 0.5769
116/338 [=========>....................] - ETA: 12s - loss: 0.6856 - accuracy: 0.5770
117/338 [=========>....................] - ETA: 12s - loss: 0.6856 - accuracy: 0.5772
118/338 [=========>....................] - ETA: 12s - loss: 0.6857 - accuracy: 0.5760
119/338 [=========>....................] - ETA: 12s - loss: 0.6857 - accuracy: 0.5769
120/338 [=========>....................] - ETA: 12s - loss: 0.6857 - accuracy: 0.5763
121/338 [=========>....................] - ETA: 12s - loss: 0.6857 - accuracy: 0.5762
122/338 [=========>....................] - ETA: 12s - loss: 0.6856 - accuracy: 0.5771
123/338 [=========>....................] - ETA: 12s - loss: 0.6856 - accuracy: 0.5767
124/338 [==========>...................] - ETA: 12s - loss: 0.6856 - accuracy: 0.5771
125/338 [==========>...................] - ETA: 12s - loss: 0.6858 - accuracy: 0.5767
126/338 [==========>...................] - ETA: 12s - loss: 0.6859 - accuracy: 0.5761
127/338 [==========>...................] - ETA: 12s - loss: 0.6859 - accuracy: 0.5763
128/338 [==========>...................] - ETA: 12s - loss: 0.6858 - accuracy: 0.5769
129/338 [==========>...................] - ETA: 12s - loss: 0.6858 - accuracy: 0.5773
130/338 [==========>...................] - ETA: 12s - loss: 0.6857 - accuracy: 0.5781
131/338 [==========>...................] - ETA: 12s - loss: 0.6858 - accuracy: 0.5787
132/338 [==========>...................] - ETA: 11s - loss: 0.6858 - accuracy: 0.5791
133/338 [==========>...................] - ETA: 11s - loss: 0.6858 - accuracy: 0.5792
134/338 [==========>...................] - ETA: 11s - loss: 0.6858 - accuracy: 0.5795
135/338 [==========>...................] - ETA: 11s - loss: 0.6857 - accuracy: 0.5801
136/338 [===========>..................] - ETA: 11s - loss: 0.6856 - accuracy: 0.5807
137/338 [===========>..................] - ETA: 11s - loss: 0.6858 - accuracy: 0.5801
138/338 [===========>..................] - ETA: 11s - loss: 0.6857 - accuracy: 0.5811
139/338 [===========>..................] - ETA: 11s - loss: 0.6857 - accuracy: 0.5814
140/338 [===========>..................] - ETA: 11s - loss: 0.6858 - accuracy: 0.5808
141/338 [===========>..................] - ETA: 11s - loss: 0.6859 - accuracy: 0.5805
142/338 [===========>..................] - ETA: 11s - loss: 0.6860 - accuracy: 0.5792
143/338 [===========>..................] - ETA: 11s - loss: 0.6861 - accuracy: 0.5791
144/338 [===========>..................] - ETA: 11s - loss: 0.6862 - accuracy: 0.5786
145/338 [===========>..................] - ETA: 11s - loss: 0.6863 - accuracy: 0.5780
146/338 [===========>..................] - ETA: 11s - loss: 0.6863 - accuracy: 0.5786
147/338 [============>.................] - ETA: 11s - loss: 0.6863 - accuracy: 0.5789
148/338 [============>.................] - ETA: 11s - loss: 0.6863 - accuracy: 0.5788
149/338 [============>.................] - ETA: 10s - loss: 0.6862 - accuracy: 0.5789
150/338 [============>.................] - ETA: 10s - loss: 0.6862 - accuracy: 0.5790
151/338 [============>.................] - ETA: 10s - loss: 0.6861 - accuracy: 0.5793
152/338 [============>.................] - ETA: 10s - loss: 0.6861 - accuracy: 0.5792
153/338 [============>.................] - ETA: 10s - loss: 0.6861 - accuracy: 0.5786
154/338 [============>.................] - ETA: 10s - loss: 0.6862 - accuracy: 0.5779
155/338 [============>.................] - ETA: 10s - loss: 0.6861 - accuracy: 0.5780
156/338 [============>.................] - ETA: 10s - loss: 0.6862 - accuracy: 0.5775
157/338 [============>.................] - ETA: 10s - loss: 0.6862 - accuracy: 0.5780
158/338 [=============>................] - ETA: 10s - loss: 0.6862 - accuracy: 0.5781
159/338 [=============>................] - ETA: 10s - loss: 0.6861 - accuracy: 0.5784
160/338 [=============>................] - ETA: 10s - loss: 0.6861 - accuracy: 0.5787
161/338 [=============>................] - ETA: 10s - loss: 0.6862 - accuracy: 0.5786
162/338 [=============>................] - ETA: 10s - loss: 0.6862 - accuracy: 0.5781
163/338 [=============>................] - ETA: 10s - loss: 0.6863 - accuracy: 0.5784
164/338 [=============>................] - ETA: 10s - loss: 0.6862 - accuracy: 0.5787
165/338 [=============>................] - ETA: 10s - loss: 0.6862 - accuracy: 0.5784
166/338 [=============>................] - ETA: 9s - loss: 0.6862 - accuracy: 0.5791
167/338 [=============>................] - ETA: 9s - loss: 0.6861 - accuracy: 0.5793
168/338 [=============>................] - ETA: 9s - loss: 0.6860 - accuracy: 0.5805
169/338 [==============>...............] - ETA: 9s - loss: 0.6860 - accuracy: 0.5812
170/338 [==============>...............] - ETA: 9s - loss: 0.6860 - accuracy: 0.5814
171/338 [==============>...............] - ETA: 9s - loss: 0.6860 - accuracy: 0.5817
172/338 [==============>...............] - ETA: 9s - loss: 0.6859 - accuracy: 0.5825
173/338 [==============>...............] - ETA: 9s - loss: 0.6858 - accuracy: 0.5833
174/338 [==============>...............] - ETA: 9s - loss: 0.6856 - accuracy: 0.5842
175/338 [==============>...............] - ETA: 9s - loss: 0.6855 - accuracy: 0.5846
176/338 [==============>...............] - ETA: 9s - loss: 0.6854 - accuracy: 0.5852
177/338 [==============>...............] - ETA: 9s - loss: 0.6855 - accuracy: 0.5844
178/338 [==============>...............] - ETA: 9s - loss: 0.6854 - accuracy: 0.5850
179/338 [==============>...............] - ETA: 9s - loss: 0.6855 - accuracy: 0.5843
180/338 [==============>...............] - ETA: 9s - loss: 0.6854 - accuracy: 0.5847
181/338 [===============>..............] - ETA: 9s - loss: 0.6853 - accuracy: 0.5855
182/338 [===============>..............] - ETA: 9s - loss: 0.6853 - accuracy: 0.5852
183/338 [===============>..............] - ETA: 8s - loss: 0.6853 - accuracy: 0.5854
184/338 [===============>..............] - ETA: 8s - loss: 0.6854 - accuracy: 0.5846
185/338 [===============>..............] - ETA: 8s - loss: 0.6854 - accuracy: 0.5850
186/338 [===============>..............] - ETA: 8s - loss: 0.6854 - accuracy: 0.5847
187/338 [===============>..............] - ETA: 8s - loss: 0.6853 - accuracy: 0.5852
188/338 [===============>..............] - ETA: 8s - loss: 0.6852 - accuracy: 0.5853
189/338 [===============>..............] - ETA: 8s - loss: 0.6852 - accuracy: 0.5855
190/338 [===============>..............] - ETA: 8s - loss: 0.6852 - accuracy: 0.5855
191/338 [===============>..............] - ETA: 8s - loss: 0.6852 - accuracy: 0.5861
192/338 [================>.............] - ETA: 8s - loss: 0.6851 - accuracy: 0.5869
193/338 [================>.............] - ETA: 8s - loss: 0.6850 - accuracy: 0.5874
194/338 [================>.............] - ETA: 8s - loss: 0.6850 - accuracy: 0.5876
195/338 [================>.............] - ETA: 8s - loss: 0.6850 - accuracy: 0.5880
196/338 [================>.............] - ETA: 8s - loss: 0.6849 - accuracy: 0.5883
197/338 [================>.............] - ETA: 8s - loss: 0.6849 - accuracy: 0.5885
198/338 [================>.............] - ETA: 8s - loss: 0.6850 - accuracy: 0.5889
199/338 [================>.............] - ETA: 8s - loss: 0.6850 - accuracy: 0.5884
200/338 [================>.............] - ETA: 7s - loss: 0.6850 - accuracy: 0.5889
201/338 [================>.............] - ETA: 7s - loss: 0.6849 - accuracy: 0.5892
202/338 [================>.............] - ETA: 7s - loss: 0.6848 - accuracy: 0.5897
203/338 [=================>............] - ETA: 7s - loss: 0.6848 - accuracy: 0.5897
204/338 [=================>............] - ETA: 7s - loss: 0.6848 - accuracy: 0.5895
205/338 [=================>............] - ETA: 7s - loss: 0.6848 - accuracy: 0.5896
206/338 [=================>............] - ETA: 7s - loss: 0.6847 - accuracy: 0.5903
207/338 [=================>............] - ETA: 7s - loss: 0.6847 - accuracy: 0.5903
208/338 [=================>............] - ETA: 7s - loss: 0.6846 - accuracy: 0.5909
209/338 [=================>............] - ETA: 7s - loss: 0.6846 - accuracy: 0.5909
210/338 [=================>............] - ETA: 7s - loss: 0.6845 - accuracy: 0.5917
211/338 [=================>............] - ETA: 7s - loss: 0.6845 - accuracy: 0.5914
212/338 [=================>............] - ETA: 7s - loss: 0.6846 - accuracy: 0.5911
213/338 [=================>............] - ETA: 7s - loss: 0.6845 - accuracy: 0.5918
214/338 [=================>............] - ETA: 7s - loss: 0.6845 - accuracy: 0.5923
215/338 [==================>...........] - ETA: 7s - loss: 0.6845 - accuracy: 0.5923
216/338 [==================>...........] - ETA: 7s - loss: 0.6845 - accuracy: 0.5924
217/338 [==================>...........] - ETA: 7s - loss: 0.6845 - accuracy: 0.5922
218/338 [==================>...........] - ETA: 6s - loss: 0.6844 - accuracy: 0.5925
219/338 [==================>...........] - ETA: 6s - loss: 0.6844 - accuracy: 0.5926
220/338 [==================>...........] - ETA: 6s - loss: 0.6843 - accuracy: 0.5929
221/338 [==================>...........] - ETA: 6s - loss: 0.6844 - accuracy: 0.5923
222/338 [==================>...........] - ETA: 6s - loss: 0.6843 - accuracy: 0.5930
223/338 [==================>...........] - ETA: 6s - loss: 0.6844 - accuracy: 0.5929
224/338 [==================>...........] - ETA: 6s - loss: 0.6842 - accuracy: 0.5935
225/338 [==================>...........] - ETA: 6s - loss: 0.6842 - accuracy: 0.5942
226/338 [===================>..........] - ETA: 6s - loss: 0.6842 - accuracy: 0.5944
227/338 [===================>..........] - ETA: 6s - loss: 0.6841 - accuracy: 0.5949
228/338 [===================>..........] - ETA: 6s - loss: 0.6841 - accuracy: 0.5953
229/338 [===================>..........] - ETA: 6s - loss: 0.6841 - accuracy: 0.5951
230/338 [===================>..........] - ETA: 6s - loss: 0.6842 - accuracy: 0.5951
231/338 [===================>..........] - ETA: 6s - loss: 0.6841 - accuracy: 0.5950
232/338 [===================>..........] - ETA: 6s - loss: 0.6842 - accuracy: 0.5948
233/338 [===================>..........] - ETA: 6s - loss: 0.6841 - accuracy: 0.5952
234/338 [===================>..........] - ETA: 6s - loss: 0.6841 - accuracy: 0.5954
235/338 [===================>..........] - ETA: 5s - loss: 0.6841 - accuracy: 0.5957
236/338 [===================>..........] - ETA: 5s - loss: 0.6840 - accuracy: 0.5961
237/338 [====================>.........] - ETA: 5s - loss: 0.6840 - accuracy: 0.5959
238/338 [====================>.........] - ETA: 5s - loss: 0.6841 - accuracy: 0.5956
239/338 [====================>.........] - ETA: 5s - loss: 0.6840 - accuracy: 0.5961
240/338 [====================>.........] - ETA: 5s - loss: 0.6840 - accuracy: 0.5958
241/338 [====================>.........] - ETA: 5s - loss: 0.6841 - accuracy: 0.5958
242/338 [====================>.........] - ETA: 5s - loss: 0.6840 - accuracy: 0.5965
243/338 [====================>.........] - ETA: 5s - loss: 0.6840 - accuracy: 0.5965
244/338 [====================>.........] - ETA: 5s - loss: 0.6840 - accuracy: 0.5964
245/338 [====================>.........] - ETA: 5s - loss: 0.6839 - accuracy: 0.5967
246/338 [====================>.........] - ETA: 5s - loss: 0.6839 - accuracy: 0.5969
247/338 [====================>.........] - ETA: 5s - loss: 0.6839 - accuracy: 0.5970
248/338 [=====================>........] - ETA: 5s - loss: 0.6838 - accuracy: 0.5975
249/338 [=====================>........] - ETA: 5s - loss: 0.6838 - accuracy: 0.5979
250/338 [=====================>........] - ETA: 5s - loss: 0.6837 - accuracy: 0.5979
251/338 [=====================>........] - ETA: 5s - loss: 0.6838 - accuracy: 0.5972
252/338 [=====================>........] - ETA: 4s - loss: 0.6838 - accuracy: 0.5970
253/338 [=====================>........] - ETA: 4s - loss: 0.6837 - accuracy: 0.5976
254/338 [=====================>........] - ETA: 4s - loss: 0.6836 - accuracy: 0.5982
255/338 [=====================>........] - ETA: 4s - loss: 0.6834 - accuracy: 0.5993
256/338 [=====================>........] - ETA: 4s - loss: 0.6834 - accuracy: 0.5995
257/338 [=====================>........] - ETA: 4s - loss: 0.6834 - accuracy: 0.6000
258/338 [=====================>........] - ETA: 4s - loss: 0.6835 - accuracy: 0.6000
259/338 [=====================>........] - ETA: 4s - loss: 0.6835 - accuracy: 0.6001
260/338 [======================>.......] - ETA: 4s - loss: 0.6833 - accuracy: 0.6008
261/338 [======================>.......] - ETA: 4s - loss: 0.6833 - accuracy: 0.6013
262/338 [======================>.......] - ETA: 4s - loss: 0.6833 - accuracy: 0.6011
263/338 [======================>.......] - ETA: 4s - loss: 0.6833 - accuracy: 0.6011
264/338 [======================>.......] - ETA: 4s - loss: 0.6833 - accuracy: 0.6013
265/338 [======================>.......] - ETA: 4s - loss: 0.6833 - accuracy: 0.6014
266/338 [======================>.......] - ETA: 4s - loss: 0.6832 - accuracy: 0.6019
267/338 [======================>.......] - ETA: 4s - loss: 0.6831 - accuracy: 0.6023
268/338 [======================>.......] - ETA: 4s - loss: 0.6831 - accuracy: 0.6026
269/338 [======================>.......] - ETA: 3s - loss: 0.6831 - accuracy: 0.6023
270/338 [======================>.......] - ETA: 3s - loss: 0.6831 - accuracy: 0.6024
271/338 [=======================>......] - ETA: 3s - loss: 0.6830 - accuracy: 0.6030
272/338 [=======================>......] - ETA: 3s - loss: 0.6830 - accuracy: 0.6031
273/338 [=======================>......] - ETA: 3s - loss: 0.6829 - accuracy: 0.6035
274/338 [=======================>......] - ETA: 3s - loss: 0.6829 - accuracy: 0.6034
275/338 [=======================>......] - ETA: 3s - loss: 0.6828 - accuracy: 0.6040
276/338 [=======================>......] - ETA: 3s - loss: 0.6828 - accuracy: 0.6042
277/338 [=======================>......] - ETA: 3s - loss: 0.6827 - accuracy: 0.6049
278/338 [=======================>......] - ETA: 3s - loss: 0.6829 - accuracy: 0.6038
279/338 [=======================>......] - ETA: 3s - loss: 0.6829 - accuracy: 0.6039
280/338 [=======================>......] - ETA: 3s - loss: 0.6829 - accuracy: 0.6039
281/338 [=======================>......] - ETA: 3s - loss: 0.6829 - accuracy: 0.6041
282/338 [========================>.....] - ETA: 3s - loss: 0.6828 - accuracy: 0.6045
283/338 [========================>.....] - ETA: 3s - loss: 0.6827 - accuracy: 0.6051
284/338 [========================>.....] - ETA: 3s - loss: 0.6828 - accuracy: 0.6044
285/338 [========================>.....] - ETA: 3s - loss: 0.6828 - accuracy: 0.6045
286/338 [========================>.....] - ETA: 2s - loss: 0.6827 - accuracy: 0.6048
287/338 [========================>.....] - ETA: 2s - loss: 0.6827 - accuracy: 0.6049
288/338 [========================>.....] - ETA: 2s - loss: 0.6828 - accuracy: 0.6044
289/338 [========================>.....] - ETA: 2s - loss: 0.6827 - accuracy: 0.6048
290/338 [========================>.....] - ETA: 2s - loss: 0.6826 - accuracy: 0.6052
291/338 [========================>.....] - ETA: 2s - loss: 0.6826 - accuracy: 0.6055
292/338 [========================>.....] - ETA: 2s - loss: 0.6825 - accuracy: 0.6056
293/338 [=========================>....] - ETA: 2s - loss: 0.6825 - accuracy: 0.6056
294/338 [=========================>....] - ETA: 2s - loss: 0.6825 - accuracy: 0.6055
295/338 [=========================>....] - ETA: 2s - loss: 0.6825 - accuracy: 0.6057
296/338 [=========================>....] - ETA: 2s - loss: 0.6825 - accuracy: 0.6059
297/338 [=========================>....] - ETA: 2s - loss: 0.6824 - accuracy: 0.6059
298/338 [=========================>....] - ETA: 2s - loss: 0.6825 - accuracy: 0.6055
299/338 [=========================>....] - ETA: 2s - loss: 0.6825 - accuracy: 0.6055
300/338 [=========================>....] - ETA: 2s - loss: 0.6824 - accuracy: 0.6056
301/338 [=========================>....] - ETA: 2s - loss: 0.6824 - accuracy: 0.6056
302/338 [=========================>....] - ETA: 2s - loss: 0.6824 - accuracy: 0.6051
303/338 [=========================>....] - ETA: 2s - loss: 0.6825 - accuracy: 0.6051
304/338 [=========================>....] - ETA: 1s - loss: 0.6824 - accuracy: 0.6054
305/338 [==========================>...] - ETA: 1s - loss: 0.6824 - accuracy: 0.6055
306/338 [==========================>...] - ETA: 1s - loss: 0.6824 - accuracy: 0.6057
307/338 [==========================>...] - ETA: 1s - loss: 0.6824 - accuracy: 0.6057
308/338 [==========================>...] - ETA: 1s - loss: 0.6823 - accuracy: 0.6060
309/338 [==========================>...] - ETA: 1s - loss: 0.6823 - accuracy: 0.6061
310/338 [==========================>...] - ETA: 1s - loss: 0.6822 - accuracy: 0.6066
311/338 [==========================>...] - ETA: 1s - loss: 0.6821 - accuracy: 0.6068
312/338 [==========================>...] - ETA: 1s - loss: 0.6822 - accuracy: 0.6067
313/338 [==========================>...] - ETA: 1s - loss: 0.6821 - accuracy: 0.6072
314/338 [==========================>...] - ETA: 1s - loss: 0.6822 - accuracy: 0.6068
315/338 [==========================>...] - ETA: 1s - loss: 0.6822 - accuracy: 0.6069
316/338 [===========================>..] - ETA: 1s - loss: 0.6822 - accuracy: 0.6069
317/338 [===========================>..] - ETA: 1s - loss: 0.6821 - accuracy: 0.6071
318/338 [===========================>..] - ETA: 1s - loss: 0.6821 - accuracy: 0.6072
319/338 [===========================>..] - ETA: 1s - loss: 0.6821 - accuracy: 0.6070
320/338 [===========================>..] - ETA: 1s - loss: 0.6820 - accuracy: 0.6074
321/338 [===========================>..] - ETA: 0s - loss: 0.6819 - accuracy: 0.6080
322/338 [===========================>..] - ETA: 0s - loss: 0.6819 - accuracy: 0.6081
323/338 [===========================>..] - ETA: 0s - loss: 0.6817 - accuracy: 0.6091
324/338 [===========================>..] - ETA: 0s - loss: 0.6817 - accuracy: 0.6092
325/338 [===========================>..] - ETA: 0s - loss: 0.6816 - accuracy: 0.6097
326/338 [===========================>..] - ETA: 0s - loss: 0.6815 - accuracy: 0.6101
327/338 [============================>.] - ETA: 0s - loss: 0.6814 - accuracy: 0.6105
328/338 [============================>.] - ETA: 0s - loss: 0.6813 - accuracy: 0.6110
329/338 [============================>.] - ETA: 0s - loss: 0.6812 - accuracy: 0.6113
330/338 [============================>.] - ETA: 0s - loss: 0.6811 - accuracy: 0.6116
331/338 [============================>.] - ETA: 0s - loss: 0.6810 - accuracy: 0.6123
332/338 [============================>.] - ETA: 0s - loss: 0.6809 - accuracy: 0.6126
333/338 [============================>.] - ETA: 0s - loss: 0.6809 - accuracy: 0.6128
334/338 [============================>.] - ETA: 0s - loss: 0.6809 - accuracy: 0.6128
335/338 [============================>.] - ETA: 0s - loss: 0.6808 - accuracy: 0.6132
336/338 [============================>.] - ETA: 0s - loss: 0.6808 - accuracy: 0.6129
337/338 [============================>.] - ETA: 0s - loss: 0.6808 - accuracy: 0.6129
338/338 [==============================] - 21s 63ms/step - loss: 0.6808 - accuracy: 0.6132 - val_loss: 0.6883 - val_accuracy: 0.5436
Epoch 3/5
1/338 [..............................] - ETA: 19s - loss: 0.6689 - accuracy: 0.5938
2/338 [..............................] - ETA: 19s - loss: 0.6610 - accuracy: 0.6719
3/338 [..............................] - ETA: 19s - loss: 0.6630 - accuracy: 0.6771
4/338 [..............................] - ETA: 19s - loss: 0.6641 - accuracy: 0.6797
5/338 [..............................] - ETA: 19s - loss: 0.6673 - accuracy: 0.6625
6/338 [..............................] - ETA: 19s - loss: 0.6645 - accuracy: 0.6719
7/338 [..............................] - ETA: 19s - loss: 0.6639 - accuracy: 0.6696
8/338 [..............................] - ETA: 19s - loss: 0.6665 - accuracy: 0.6445
9/338 [..............................] - ETA: 19s - loss: 0.6687 - accuracy: 0.6285
10/338 [..............................] - ETA: 19s - loss: 0.6692 - accuracy: 0.6250
11/338 [..............................] - ETA: 19s - loss: 0.6703 - accuracy: 0.6193
12/338 [>.............................] - ETA: 19s - loss: 0.6712 - accuracy: 0.6120
13/338 [>.............................] - ETA: 19s - loss: 0.6703 - accuracy: 0.6154
14/338 [>.............................] - ETA: 19s - loss: 0.6724 - accuracy: 0.6094
15/338 [>.............................] - ETA: 19s - loss: 0.6729 - accuracy: 0.6125
16/338 [>.............................] - ETA: 19s - loss: 0.6740 - accuracy: 0.6055
17/338 [>.............................] - ETA: 19s - loss: 0.6744 - accuracy: 0.6048
18/338 [>.............................] - ETA: 19s - loss: 0.6740 - accuracy: 0.6042
19/338 [>.............................] - ETA: 18s - loss: 0.6744 - accuracy: 0.6020
20/338 [>.............................] - ETA: 18s - loss: 0.6751 - accuracy: 0.6016
21/338 [>.............................] - ETA: 18s - loss: 0.6739 - accuracy: 0.6071
22/338 [>.............................] - ETA: 18s - loss: 0.6748 - accuracy: 0.6023
23/338 [=>............................] - ETA: 18s - loss: 0.6742 - accuracy: 0.6073
24/338 [=>............................] - ETA: 18s - loss: 0.6749 - accuracy: 0.6029
25/338 [=>............................] - ETA: 18s - loss: 0.6740 - accuracy: 0.6100
26/338 [=>............................] - ETA: 18s - loss: 0.6745 - accuracy: 0.6082
27/338 [=>............................] - ETA: 18s - loss: 0.6756 - accuracy: 0.6030
28/338 [=>............................] - ETA: 18s - loss: 0.6756 - accuracy: 0.6083
29/338 [=>............................] - ETA: 18s - loss: 0.6756 - accuracy: 0.6078
30/338 [=>............................] - ETA: 18s - loss: 0.6754 - accuracy: 0.6094
31/338 [=>............................] - ETA: 18s - loss: 0.6755 - accuracy: 0.6089
32/338 [=>............................] - ETA: 18s - loss: 0.6755 - accuracy: 0.6074
33/338 [=>............................] - ETA: 18s - loss: 0.6751 - accuracy: 0.6108
34/338 [==>...........................] - ETA: 18s - loss: 0.6743 - accuracy: 0.6131
35/338 [==>...........................] - ETA: 18s - loss: 0.6737 - accuracy: 0.6143
36/338 [==>...........................] - ETA: 17s - loss: 0.6737 - accuracy: 0.6128
37/338 [==>...........................] - ETA: 17s - loss: 0.6740 - accuracy: 0.6132
38/338 [==>...........................] - ETA: 17s - loss: 0.6736 - accuracy: 0.6135
39/338 [==>...........................] - ETA: 17s - loss: 0.6737 - accuracy: 0.6106
40/338 [==>...........................] - ETA: 17s - loss: 0.6747 - accuracy: 0.6047
41/338 [==>...........................] - ETA: 17s - loss: 0.6743 - accuracy: 0.6075
42/338 [==>...........................] - ETA: 17s - loss: 0.6751 - accuracy: 0.6042
43/338 [==>...........................] - ETA: 17s - loss: 0.6759 - accuracy: 0.6025
44/338 [==>...........................] - ETA: 17s - loss: 0.6758 - accuracy: 0.6030
45/338 [==>...........................] - ETA: 17s - loss: 0.6755 - accuracy: 0.6042
46/338 [===>..........................] - ETA: 17s - loss: 0.6755 - accuracy: 0.6039
47/338 [===>..........................] - ETA: 17s - loss: 0.6752 - accuracy: 0.6044
48/338 [===>..........................] - ETA: 17s - loss: 0.6756 - accuracy: 0.6035
49/338 [===>..........................] - ETA: 17s - loss: 0.6758 - accuracy: 0.6020
50/338 [===>..........................] - ETA: 17s - loss: 0.6756 - accuracy: 0.6031
51/338 [===>..........................] - ETA: 16s - loss: 0.6756 - accuracy: 0.6029
52/338 [===>..........................] - ETA: 16s - loss: 0.6756 - accuracy: 0.6034
53/338 [===>..........................] - ETA: 16s - loss: 0.6755 - accuracy: 0.6044
54/338 [===>..........................] - ETA: 16s - loss: 0.6757 - accuracy: 0.6030
55/338 [===>..........................] - ETA: 16s - loss: 0.6757 - accuracy: 0.6028
56/338 [===>..........................] - ETA: 16s - loss: 0.6756 - accuracy: 0.6027
57/338 [====>.........................] - ETA: 16s - loss: 0.6757 - accuracy: 0.6014
58/338 [====>.........................] - ETA: 16s - loss: 0.6755 - accuracy: 0.6018
59/338 [====>.........................] - ETA: 16s - loss: 0.6759 - accuracy: 0.5990
60/338 [====>.........................] - ETA: 16s - loss: 0.6752 - accuracy: 0.6031
61/338 [====>.........................] - ETA: 16s - loss: 0.6754 - accuracy: 0.6025
62/338 [====>.........................] - ETA: 16s - loss: 0.6753 - accuracy: 0.6033
63/338 [====>.........................] - ETA: 16s - loss: 0.6758 - accuracy: 0.6017
64/338 [====>.........................] - ETA: 16s - loss: 0.6755 - accuracy: 0.6025
65/338 [====>.........................] - ETA: 16s - loss: 0.6750 - accuracy: 0.6043
66/338 [====>.........................] - ETA: 16s - loss: 0.6748 - accuracy: 0.6051
67/338 [====>.........................] - ETA: 15s - loss: 0.6749 - accuracy: 0.6054
68/338 [=====>........................] - ETA: 15s - loss: 0.6747 - accuracy: 0.6066
69/338 [=====>........................] - ETA: 15s - loss: 0.6748 - accuracy: 0.6064
70/338 [=====>........................] - ETA: 15s - loss: 0.6747 - accuracy: 0.6076
71/338 [=====>........................] - ETA: 15s - loss: 0.6741 - accuracy: 0.6100
72/338 [=====>........................] - ETA: 15s - loss: 0.6738 - accuracy: 0.6120
73/338 [=====>........................] - ETA: 15s - loss: 0.6735 - accuracy: 0.6126
74/338 [=====>........................] - ETA: 15s - loss: 0.6735 - accuracy: 0.6123
75/338 [=====>........................] - ETA: 15s - loss: 0.6733 - accuracy: 0.6129
76/338 [=====>........................] - ETA: 15s - loss: 0.6733 - accuracy: 0.6135
77/338 [=====>........................] - ETA: 15s - loss: 0.6724 - accuracy: 0.6173
78/338 [=====>........................] - ETA: 15s - loss: 0.6720 - accuracy: 0.6194
79/338 [======>.......................] - ETA: 15s - loss: 0.6717 - accuracy: 0.6206
80/338 [======>.......................] - ETA: 15s - loss: 0.6716 - accuracy: 0.6211
81/338 [======>.......................] - ETA: 15s - loss: 0.6713 - accuracy: 0.6227
82/338 [======>.......................] - ETA: 15s - loss: 0.6718 - accuracy: 0.6208
83/338 [======>.......................] - ETA: 14s - loss: 0.6715 - accuracy: 0.6220
84/338 [======>.......................] - ETA: 14s - loss: 0.6718 - accuracy: 0.6209
85/338 [======>.......................] - ETA: 14s - loss: 0.6715 - accuracy: 0.6210
86/338 [======>.......................] - ETA: 14s - loss: 0.6713 - accuracy: 0.6217
87/338 [======>.......................] - ETA: 14s - loss: 0.6716 - accuracy: 0.6210
88/338 [======>.......................] - ETA: 14s - loss: 0.6714 - accuracy: 0.6211
89/338 [======>.......................] - ETA: 14s - loss: 0.6714 - accuracy: 0.6222
90/338 [======>.......................] - ETA: 14s - loss: 0.6717 - accuracy: 0.6212
91/338 [=======>......................] - ETA: 14s - loss: 0.6717 - accuracy: 0.6209
92/338 [=======>......................] - ETA: 14s - loss: 0.6714 - accuracy: 0.6219
93/338 [=======>......................] - ETA: 14s - loss: 0.6715 - accuracy: 0.6210
94/338 [=======>......................] - ETA: 14s - loss: 0.6717 - accuracy: 0.6200
95/338 [=======>......................] - ETA: 14s - loss: 0.6714 - accuracy: 0.6211
96/338 [=======>......................] - ETA: 14s - loss: 0.6714 - accuracy: 0.6211
97/338 [=======>......................] - ETA: 14s - loss: 0.6715 - accuracy: 0.6208
98/338 [=======>......................] - ETA: 14s - loss: 0.6720 - accuracy: 0.6196
99/338 [=======>......................] - ETA: 14s - loss: 0.6722 - accuracy: 0.6193
100/338 [=======>......................] - ETA: 13s - loss: 0.6722 - accuracy: 0.6197
101/338 [=======>......................] - ETA: 13s - loss: 0.6722 - accuracy: 0.6204
102/338 [========>.....................] - ETA: 13s - loss: 0.6723 - accuracy: 0.6204
103/338 [========>.....................] - ETA: 13s - loss: 0.6721 - accuracy: 0.6217
104/338 [========>.....................] - ETA: 13s - loss: 0.6719 - accuracy: 0.6226
105/338 [========>.....................] - ETA: 13s - loss: 0.6722 - accuracy: 0.6211
106/338 [========>.....................] - ETA: 13s - loss: 0.6722 - accuracy: 0.6218
107/338 [========>.....................] - ETA: 13s - loss: 0.6722 - accuracy: 0.6230
108/338 [========>.....................] - ETA: 13s - loss: 0.6721 - accuracy: 0.6233
109/338 [========>.....................] - ETA: 13s - loss: 0.6721 - accuracy: 0.6233
110/338 [========>.....................] - ETA: 13s - loss: 0.6722 - accuracy: 0.6227
111/338 [========>.....................] - ETA: 13s - loss: 0.6723 - accuracy: 0.6213
112/338 [========>.....................] - ETA: 13s - loss: 0.6724 - accuracy: 0.6219
113/338 [=========>....................] - ETA: 13s - loss: 0.6723 - accuracy: 0.6220
114/338 [=========>....................] - ETA: 13s - loss: 0.6723 - accuracy: 0.6212
115/338 [=========>....................] - ETA: 13s - loss: 0.6722 - accuracy: 0.6212
116/338 [=========>....................] - ETA: 12s - loss: 0.6720 - accuracy: 0.6223
117/338 [=========>....................] - ETA: 12s - loss: 0.6722 - accuracy: 0.6207
118/338 [=========>....................] - ETA: 12s - loss: 0.6725 - accuracy: 0.6192
119/338 [=========>....................] - ETA: 12s - loss: 0.6725 - accuracy: 0.6192
120/338 [=========>....................] - ETA: 12s - loss: 0.6727 - accuracy: 0.6180
121/338 [=========>....................] - ETA: 12s - loss: 0.6727 - accuracy: 0.6183
122/338 [=========>....................] - ETA: 12s - loss: 0.6728 - accuracy: 0.6181
123/338 [=========>....................] - ETA: 12s - loss: 0.6729 - accuracy: 0.6174
124/338 [==========>...................] - ETA: 12s - loss: 0.6730 - accuracy: 0.6172
125/338 [==========>...................] - ETA: 12s - loss: 0.6732 - accuracy: 0.6162
126/338 [==========>...................] - ETA: 12s - loss: 0.6732 - accuracy: 0.6158
127/338 [==========>...................] - ETA: 12s - loss: 0.6732 - accuracy: 0.6159
128/338 [==========>...................] - ETA: 12s - loss: 0.6732 - accuracy: 0.6152
129/338 [==========>...................] - ETA: 12s - loss: 0.6735 - accuracy: 0.6139
130/338 [==========>...................] - ETA: 12s - loss: 0.6734 - accuracy: 0.6142
131/338 [==========>...................] - ETA: 12s - loss: 0.6733 - accuracy: 0.6140
132/338 [==========>...................] - ETA: 12s - loss: 0.6729 - accuracy: 0.6155
133/338 [==========>...................] - ETA: 12s - loss: 0.6729 - accuracy: 0.6154
134/338 [==========>...................] - ETA: 11s - loss: 0.6732 - accuracy: 0.6133
135/338 [==========>...................] - ETA: 11s - loss: 0.6732 - accuracy: 0.6139
136/338 [===========>..................] - ETA: 11s - loss: 0.6730 - accuracy: 0.6147
137/338 [===========>..................] - ETA: 11s - loss: 0.6730 - accuracy: 0.6145
138/338 [===========>..................] - ETA: 11s - loss: 0.6730 - accuracy: 0.6139
139/338 [===========>..................] - ETA: 11s - loss: 0.6729 - accuracy: 0.6144
140/338 [===========>..................] - ETA: 11s - loss: 0.6730 - accuracy: 0.6152
141/338 [===========>..................] - ETA: 11s - loss: 0.6730 - accuracy: 0.6152
142/338 [===========>..................] - ETA: 11s - loss: 0.6731 - accuracy: 0.6155
143/338 [===========>..................] - ETA: 11s - loss: 0.6730 - accuracy: 0.6163
144/338 [===========>..................] - ETA: 11s - loss: 0.6729 - accuracy: 0.6170
145/338 [===========>..................] - ETA: 11s - loss: 0.6728 - accuracy: 0.6177
146/338 [===========>..................] - ETA: 11s - loss: 0.6727 - accuracy: 0.6182
147/338 [============>.................] - ETA: 11s - loss: 0.6726 - accuracy: 0.6182
148/338 [============>.................] - ETA: 11s - loss: 0.6727 - accuracy: 0.6174
149/338 [============>.................] - ETA: 11s - loss: 0.6727 - accuracy: 0.6174
150/338 [============>.................] - ETA: 11s - loss: 0.6728 - accuracy: 0.6175
151/338 [============>.................] - ETA: 10s - loss: 0.6728 - accuracy: 0.6175
152/338 [============>.................] - ETA: 10s - loss: 0.6728 - accuracy: 0.6176
153/338 [============>.................] - ETA: 10s - loss: 0.6729 - accuracy: 0.6179
154/338 [============>.................] - ETA: 10s - loss: 0.6731 - accuracy: 0.6175
155/338 [============>.................] - ETA: 10s - loss: 0.6731 - accuracy: 0.6179
156/338 [============>.................] - ETA: 10s - loss: 0.6730 - accuracy: 0.6180
157/338 [============>.................] - ETA: 10s - loss: 0.6730 - accuracy: 0.6178
158/338 [=============>................] - ETA: 10s - loss: 0.6730 - accuracy: 0.6183
159/338 [=============>................] - ETA: 10s - loss: 0.6728 - accuracy: 0.6193
160/338 [=============>................] - ETA: 10s - loss: 0.6729 - accuracy: 0.6184
161/338 [=============>................] - ETA: 10s - loss: 0.6728 - accuracy: 0.6188
162/338 [=============>................] - ETA: 10s - loss: 0.6727 - accuracy: 0.6188
163/338 [=============>................] - ETA: 10s - loss: 0.6726 - accuracy: 0.6194
164/338 [=============>................] - ETA: 10s - loss: 0.6726 - accuracy: 0.6199
165/338 [=============>................] - ETA: 10s - loss: 0.6725 - accuracy: 0.6201
166/338 [=============>................] - ETA: 10s - loss: 0.6726 - accuracy: 0.6197
167/338 [=============>................] - ETA: 10s - loss: 0.6723 - accuracy: 0.6203
168/338 [=============>................] - ETA: 9s - loss: 0.6723 - accuracy: 0.6203
169/338 [==============>...............] - ETA: 9s - loss: 0.6723 - accuracy: 0.6200
170/338 [==============>...............] - ETA: 9s - loss: 0.6723 - accuracy: 0.6202
171/338 [==============>...............] - ETA: 9s - loss: 0.6724 - accuracy: 0.6199
172/338 [==============>...............] - ETA: 9s - loss: 0.6724 - accuracy: 0.6199
173/338 [==============>...............] - ETA: 9s - loss: 0.6724 - accuracy: 0.6201
174/338 [==============>...............] - ETA: 9s - loss: 0.6725 - accuracy: 0.6198
175/338 [==============>...............] - ETA: 9s - loss: 0.6724 - accuracy: 0.6205
176/338 [==============>...............] - ETA: 9s - loss: 0.6725 - accuracy: 0.6206
177/338 [==============>...............] - ETA: 9s - loss: 0.6723 - accuracy: 0.6213
178/338 [==============>...............] - ETA: 9s - loss: 0.6722 - accuracy: 0.6213
179/338 [==============>...............] - ETA: 9s - loss: 0.6721 - accuracy: 0.6217
180/338 [==============>...............] - ETA: 9s - loss: 0.6720 - accuracy: 0.6222
181/338 [===============>..............] - ETA: 9s - loss: 0.6721 - accuracy: 0.6221
182/338 [===============>..............] - ETA: 9s - loss: 0.6720 - accuracy: 0.6226
183/338 [===============>..............] - ETA: 9s - loss: 0.6721 - accuracy: 0.6221
184/338 [===============>..............] - ETA: 9s - loss: 0.6722 - accuracy: 0.6216
185/338 [===============>..............] - ETA: 8s - loss: 0.6723 - accuracy: 0.6213
186/338 [===============>..............] - ETA: 8s - loss: 0.6722 - accuracy: 0.6216
187/338 [===============>..............] - ETA: 8s - loss: 0.6721 - accuracy: 0.6220
188/338 [===============>..............] - ETA: 8s - loss: 0.6721 - accuracy: 0.6222
189/338 [===============>..............] - ETA: 8s - loss: 0.6720 - accuracy: 0.6227
190/338 [===============>..............] - ETA: 8s - loss: 0.6721 - accuracy: 0.6227
191/338 [===============>..............] - ETA: 8s - loss: 0.6719 - accuracy: 0.6235
192/338 [================>.............] - ETA: 8s - loss: 0.6718 - accuracy: 0.6235
193/338 [================>.............] - ETA: 8s - loss: 0.6718 - accuracy: 0.6239
194/338 [================>.............] - ETA: 8s - loss: 0.6719 - accuracy: 0.6232
195/338 [================>.............] - ETA: 8s - loss: 0.6718 - accuracy: 0.6237
196/338 [================>.............] - ETA: 8s - loss: 0.6718 - accuracy: 0.6237
197/338 [================>.............] - ETA: 8s - loss: 0.6718 - accuracy: 0.6237
198/338 [================>.............] - ETA: 8s - loss: 0.6717 - accuracy: 0.6239
199/338 [================>.............] - ETA: 8s - loss: 0.6715 - accuracy: 0.6244
200/338 [================>.............] - ETA: 8s - loss: 0.6716 - accuracy: 0.6244
201/338 [================>.............] - ETA: 7s - loss: 0.6716 - accuracy: 0.6242
202/338 [================>.............] - ETA: 7s - loss: 0.6717 - accuracy: 0.6241
203/338 [=================>............] - ETA: 7s - loss: 0.6716 - accuracy: 0.6244
204/338 [=================>............] - ETA: 7s - loss: 0.6716 - accuracy: 0.6247
205/338 [=================>............] - ETA: 7s - loss: 0.6718 - accuracy: 0.6241
206/338 [=================>............] - ETA: 7s - loss: 0.6718 - accuracy: 0.6241
207/338 [=================>............] - ETA: 7s - loss: 0.6719 - accuracy: 0.6239
208/338 [=================>............] - ETA: 7s - loss: 0.6719 - accuracy: 0.6238
209/338 [=================>............] - ETA: 7s - loss: 0.6718 - accuracy: 0.6246
210/338 [=================>............] - ETA: 7s - loss: 0.6717 - accuracy: 0.6247
211/338 [=================>............] - ETA: 7s - loss: 0.6718 - accuracy: 0.6244
212/338 [=================>............] - ETA: 7s - loss: 0.6717 - accuracy: 0.6246
213/338 [=================>............] - ETA: 7s - loss: 0.6717 - accuracy: 0.6250
214/338 [=================>............] - ETA: 7s - loss: 0.6717 - accuracy: 0.6249
215/338 [==================>...........] - ETA: 7s - loss: 0.6716 - accuracy: 0.6250
216/338 [==================>...........] - ETA: 7s - loss: 0.6716 - accuracy: 0.6247
217/338 [==================>...........] - ETA: 7s - loss: 0.6716 - accuracy: 0.6247
218/338 [==================>...........] - ETA: 7s - loss: 0.6714 - accuracy: 0.6250
219/338 [==================>...........] - ETA: 6s - loss: 0.6714 - accuracy: 0.6251
220/338 [==================>...........] - ETA: 6s - loss: 0.6713 - accuracy: 0.6257
221/338 [==================>...........] - ETA: 6s - loss: 0.6713 - accuracy: 0.6258
222/338 [==================>...........] - ETA: 6s - loss: 0.6712 - accuracy: 0.6261
223/338 [==================>...........] - ETA: 6s - loss: 0.6711 - accuracy: 0.6261
224/338 [==================>...........] - ETA: 6s - loss: 0.6711 - accuracy: 0.6261
225/338 [==================>...........] - ETA: 6s - loss: 0.6710 - accuracy: 0.6264
226/338 [===================>..........] - ETA: 6s - loss: 0.6709 - accuracy: 0.6268
227/338 [===================>..........] - ETA: 6s - loss: 0.6709 - accuracy: 0.6269
228/338 [===================>..........] - ETA: 6s - loss: 0.6710 - accuracy: 0.6268
229/338 [===================>..........] - ETA: 6s - loss: 0.6708 - accuracy: 0.6275
230/338 [===================>..........] - ETA: 6s - loss: 0.6707 - accuracy: 0.6276
231/338 [===================>..........] - ETA: 6s - loss: 0.6708 - accuracy: 0.6273
232/338 [===================>..........] - ETA: 6s - loss: 0.6707 - accuracy: 0.6276
233/338 [===================>..........] - ETA: 6s - loss: 0.6707 - accuracy: 0.6274
234/338 [===================>..........] - ETA: 6s - loss: 0.6706 - accuracy: 0.6278
235/338 [===================>..........] - ETA: 6s - loss: 0.6705 - accuracy: 0.6282
236/338 [===================>..........] - ETA: 5s - loss: 0.6704 - accuracy: 0.6284
237/338 [====================>.........] - ETA: 5s - loss: 0.6705 - accuracy: 0.6284
238/338 [====================>.........] - ETA: 5s - loss: 0.6703 - accuracy: 0.6289
239/338 [====================>.........] - ETA: 5s - loss: 0.6704 - accuracy: 0.6287
240/338 [====================>.........] - ETA: 5s - loss: 0.6702 - accuracy: 0.6290
241/338 [====================>.........] - ETA: 5s - loss: 0.6703 - accuracy: 0.6288
242/338 [====================>.........] - ETA: 5s - loss: 0.6701 - accuracy: 0.6295
243/338 [====================>.........] - ETA: 5s - loss: 0.6701 - accuracy: 0.6295
244/338 [====================>.........] - ETA: 5s - loss: 0.6699 - accuracy: 0.6300
245/338 [====================>.........] - ETA: 5s - loss: 0.6701 - accuracy: 0.6293
246/338 [====================>.........] - ETA: 5s - loss: 0.6700 - accuracy: 0.6300
247/338 [====================>.........] - ETA: 5s - loss: 0.6699 - accuracy: 0.6299
248/338 [=====================>........] - ETA: 5s - loss: 0.6699 - accuracy: 0.6298
249/338 [=====================>........] - ETA: 5s - loss: 0.6699 - accuracy: 0.6300
250/338 [=====================>........] - ETA: 5s - loss: 0.6698 - accuracy: 0.6302
251/338 [=====================>........] - ETA: 5s - loss: 0.6699 - accuracy: 0.6301
252/338 [=====================>........] - ETA: 5s - loss: 0.6697 - accuracy: 0.6306
253/338 [=====================>........] - ETA: 4s - loss: 0.6696 - accuracy: 0.6307
254/338 [=====================>........] - ETA: 4s - loss: 0.6695 - accuracy: 0.6308
255/338 [=====================>........] - ETA: 4s - loss: 0.6695 - accuracy: 0.6306
256/338 [=====================>........] - ETA: 4s - loss: 0.6693 - accuracy: 0.6310
257/338 [=====================>........] - ETA: 4s - loss: 0.6695 - accuracy: 0.6305
258/338 [=====================>........] - ETA: 4s - loss: 0.6695 - accuracy: 0.6303
259/338 [=====================>........] - ETA: 4s - loss: 0.6697 - accuracy: 0.6299
260/338 [======================>.......] - ETA: 4s - loss: 0.6698 - accuracy: 0.6294
261/338 [======================>.......] - ETA: 4s - loss: 0.6697 - accuracy: 0.6297
262/338 [======================>.......] - ETA: 4s - loss: 0.6699 - accuracy: 0.6291
263/338 [======================>.......] - ETA: 4s - loss: 0.6699 - accuracy: 0.6289
264/338 [======================>.......] - ETA: 4s - loss: 0.6700 - accuracy: 0.6286
265/338 [======================>.......] - ETA: 4s - loss: 0.6699 - accuracy: 0.6289
266/338 [======================>.......] - ETA: 4s - loss: 0.6698 - accuracy: 0.6290
267/338 [======================>.......] - ETA: 4s - loss: 0.6697 - accuracy: 0.6296
268/338 [======================>.......] - ETA: 4s - loss: 0.6698 - accuracy: 0.6293
269/338 [======================>.......] - ETA: 4s - loss: 0.6697 - accuracy: 0.6293
270/338 [======================>.......] - ETA: 3s - loss: 0.6699 - accuracy: 0.6291
271/338 [=======================>......] - ETA: 3s - loss: 0.6697 - accuracy: 0.6296
272/338 [=======================>......] - ETA: 3s - loss: 0.6697 - accuracy: 0.6294
273/338 [=======================>......] - ETA: 3s - loss: 0.6696 - accuracy: 0.6298
274/338 [=======================>......] - ETA: 3s - loss: 0.6695 - accuracy: 0.6304
275/338 [=======================>......] - ETA: 3s - loss: 0.6694 - accuracy: 0.6306
276/338 [=======================>......] - ETA: 3s - loss: 0.6693 - accuracy: 0.6309
277/338 [=======================>......] - ETA: 3s - loss: 0.6693 - accuracy: 0.6306
278/338 [=======================>......] - ETA: 3s - loss: 0.6693 - accuracy: 0.6308
279/338 [=======================>......] - ETA: 3s - loss: 0.6693 - accuracy: 0.6309
280/338 [=======================>......] - ETA: 3s - loss: 0.6694 - accuracy: 0.6304
281/338 [=======================>......] - ETA: 3s - loss: 0.6696 - accuracy: 0.6298
282/338 [========================>.....] - ETA: 3s - loss: 0.6694 - accuracy: 0.6302
283/338 [========================>.....] - ETA: 3s - loss: 0.6694 - accuracy: 0.6303
284/338 [========================>.....] - ETA: 3s - loss: 0.6694 - accuracy: 0.6304
285/338 [========================>.....] - ETA: 3s - loss: 0.6693 - accuracy: 0.6304
286/338 [========================>.....] - ETA: 3s - loss: 0.6693 - accuracy: 0.6305
287/338 [========================>.....] - ETA: 2s - loss: 0.6693 - accuracy: 0.6302
288/338 [========================>.....] - ETA: 2s - loss: 0.6692 - accuracy: 0.6306
289/338 [========================>.....] - ETA: 2s - loss: 0.6692 - accuracy: 0.6308
290/338 [========================>.....] - ETA: 2s - loss: 0.6691 - accuracy: 0.6310
291/338 [========================>.....] - ETA: 2s - loss: 0.6692 - accuracy: 0.6309
292/338 [========================>.....] - ETA: 2s - loss: 0.6693 - accuracy: 0.6304
293/338 [=========================>....] - ETA: 2s - loss: 0.6693 - accuracy: 0.6305
294/338 [=========================>....] - ETA: 2s - loss: 0.6691 - accuracy: 0.6312
295/338 [=========================>....] - ETA: 2s - loss: 0.6691 - accuracy: 0.6310
296/338 [=========================>....] - ETA: 2s - loss: 0.6692 - accuracy: 0.6308
297/338 [=========================>....] - ETA: 2s - loss: 0.6692 - accuracy: 0.6308
298/338 [=========================>....] - ETA: 2s - loss: 0.6691 - accuracy: 0.6310
299/338 [=========================>....] - ETA: 2s - loss: 0.6690 - accuracy: 0.6315
300/338 [=========================>....] - ETA: 2s - loss: 0.6690 - accuracy: 0.6311
301/338 [=========================>....] - ETA: 2s - loss: 0.6690 - accuracy: 0.6311
302/338 [=========================>....] - ETA: 2s - loss: 0.6692 - accuracy: 0.6307
303/338 [=========================>....] - ETA: 2s - loss: 0.6692 - accuracy: 0.6305
304/338 [=========================>....] - ETA: 1s - loss: 0.6692 - accuracy: 0.6306
305/338 [==========================>...] - ETA: 1s - loss: 0.6691 - accuracy: 0.6308
306/338 [==========================>...] - ETA: 1s - loss: 0.6690 - accuracy: 0.6310
307/338 [==========================>...] - ETA: 1s - loss: 0.6691 - accuracy: 0.6307
308/338 [==========================>...] - ETA: 1s - loss: 0.6691 - accuracy: 0.6307
309/338 [==========================>...] - ETA: 1s - loss: 0.6690 - accuracy: 0.6312
310/338 [==========================>...] - ETA: 1s - loss: 0.6690 - accuracy: 0.6309
311/338 [==========================>...] - ETA: 1s - loss: 0.6690 - accuracy: 0.6311
312/338 [==========================>...] - ETA: 1s - loss: 0.6691 - accuracy: 0.6308
313/338 [==========================>...] - ETA: 1s - loss: 0.6691 - accuracy: 0.6308
314/338 [==========================>...] - ETA: 1s - loss: 0.6693 - accuracy: 0.6304
315/338 [==========================>...] - ETA: 1s - loss: 0.6692 - accuracy: 0.6307
316/338 [===========================>..] - ETA: 1s - loss: 0.6691 - accuracy: 0.6308
317/338 [===========================>..] - ETA: 1s - loss: 0.6690 - accuracy: 0.6312
318/338 [===========================>..] - ETA: 1s - loss: 0.6690 - accuracy: 0.6312
319/338 [===========================>..] - ETA: 1s - loss: 0.6689 - accuracy: 0.6315
320/338 [===========================>..] - ETA: 1s - loss: 0.6689 - accuracy: 0.6315
321/338 [===========================>..] - ETA: 0s - loss: 0.6689 - accuracy: 0.6315
322/338 [===========================>..] - ETA: 0s - loss: 0.6689 - accuracy: 0.6314
323/338 [===========================>..] - ETA: 0s - loss: 0.6689 - accuracy: 0.6314
324/338 [===========================>..] - ETA: 0s - loss: 0.6689 - accuracy: 0.6317
325/338 [===========================>..] - ETA: 0s - loss: 0.6689 - accuracy: 0.6315
326/338 [===========================>..] - ETA: 0s - loss: 0.6688 - accuracy: 0.6317
327/338 [============================>.] - ETA: 0s - loss: 0.6687 - accuracy: 0.6319
328/338 [============================>.] - ETA: 0s - loss: 0.6688 - accuracy: 0.6315
329/338 [============================>.] - ETA: 0s - loss: 0.6689 - accuracy: 0.6313
330/338 [============================>.] - ETA: 0s - loss: 0.6689 - accuracy: 0.6313
331/338 [============================>.] - ETA: 0s - loss: 0.6689 - accuracy: 0.6312
332/338 [============================>.] - ETA: 0s - loss: 0.6688 - accuracy: 0.6314
333/338 [============================>.] - ETA: 0s - loss: 0.6687 - accuracy: 0.6317
334/338 [============================>.] - ETA: 0s - loss: 0.6688 - accuracy: 0.6315
335/338 [============================>.] - ETA: 0s - loss: 0.6686 - accuracy: 0.6320
336/338 [============================>.] - ETA: 0s - loss: 0.6685 - accuracy: 0.6322
337/338 [============================>.] - ETA: 0s - loss: 0.6685 - accuracy: 0.6323
338/338 [==============================] - 21s 63ms/step - loss: 0.6685 - accuracy: 0.6323 - val_loss: 0.7007 - val_accuracy: 0.5183
Epoch 4/5
1/338 [..............................] - ETA: 18s - loss: 0.6862 - accuracy: 0.5938
2/338 [..............................] - ETA: 19s - loss: 0.6681 - accuracy: 0.6406
3/338 [..............................] - ETA: 18s - loss: 0.6680 - accuracy: 0.6458
4/338 [..............................] - ETA: 18s - loss: 0.6705 - accuracy: 0.6406
5/338 [..............................] - ETA: 19s - loss: 0.6746 - accuracy: 0.6187
6/338 [..............................] - ETA: 18s - loss: 0.6701 - accuracy: 0.6250
7/338 [..............................] - ETA: 18s - loss: 0.6672 - accuracy: 0.6339
8/338 [..............................] - ETA: 18s - loss: 0.6623 - accuracy: 0.6484
9/338 [..............................] - ETA: 18s - loss: 0.6630 - accuracy: 0.6493
10/338 [..............................] - ETA: 18s - loss: 0.6609 - accuracy: 0.6531
11/338 [..............................] - ETA: 18s - loss: 0.6646 - accuracy: 0.6364
12/338 [>.............................] - ETA: 18s - loss: 0.6651 - accuracy: 0.6354
13/338 [>.............................] - ETA: 18s - loss: 0.6661 - accuracy: 0.6346
14/338 [>.............................] - ETA: 18s - loss: 0.6655 - accuracy: 0.6384
15/338 [>.............................] - ETA: 18s - loss: 0.6659 - accuracy: 0.6375
16/338 [>.............................] - ETA: 18s - loss: 0.6647 - accuracy: 0.6426
17/338 [>.............................] - ETA: 18s - loss: 0.6650 - accuracy: 0.6397
18/338 [>.............................] - ETA: 18s - loss: 0.6635 - accuracy: 0.6441
19/338 [>.............................] - ETA: 18s - loss: 0.6656 - accuracy: 0.6349
20/338 [>.............................] - ETA: 18s - loss: 0.6657 - accuracy: 0.6359
21/338 [>.............................] - ETA: 18s - loss: 0.6650 - accuracy: 0.6384
22/338 [>.............................] - ETA: 18s - loss: 0.6650 - accuracy: 0.6392
23/338 [=>............................] - ETA: 18s - loss: 0.6650 - accuracy: 0.6372
24/338 [=>............................] - ETA: 17s - loss: 0.6652 - accuracy: 0.6367
25/338 [=>............................] - ETA: 17s - loss: 0.6649 - accuracy: 0.6375
26/338 [=>............................] - ETA: 17s - loss: 0.6651 - accuracy: 0.6370
27/338 [=>............................] - ETA: 17s - loss: 0.6633 - accuracy: 0.6435
28/338 [=>............................] - ETA: 17s - loss: 0.6641 - accuracy: 0.6417
29/338 [=>............................] - ETA: 17s - loss: 0.6625 - accuracy: 0.6444
30/338 [=>............................] - ETA: 17s - loss: 0.6612 - accuracy: 0.6479
31/338 [=>............................] - ETA: 17s - loss: 0.6601 - accuracy: 0.6512
32/338 [=>............................] - ETA: 17s - loss: 0.6607 - accuracy: 0.6484
33/338 [=>............................] - ETA: 17s - loss: 0.6629 - accuracy: 0.6420
34/338 [==>...........................] - ETA: 17s - loss: 0.6639 - accuracy: 0.6379
35/338 [==>...........................] - ETA: 17s - loss: 0.6623 - accuracy: 0.6429
36/338 [==>...........................] - ETA: 17s - loss: 0.6616 - accuracy: 0.6450
37/338 [==>...........................] - ETA: 17s - loss: 0.6616 - accuracy: 0.6444
38/338 [==>...........................] - ETA: 17s - loss: 0.6616 - accuracy: 0.6447
39/338 [==>...........................] - ETA: 17s - loss: 0.6614 - accuracy: 0.6442
40/338 [==>...........................] - ETA: 17s - loss: 0.6605 - accuracy: 0.6469
41/338 [==>...........................] - ETA: 17s - loss: 0.6609 - accuracy: 0.6463
42/338 [==>...........................] - ETA: 17s - loss: 0.6610 - accuracy: 0.6466
43/338 [==>...........................] - ETA: 17s - loss: 0.6599 - accuracy: 0.6497
44/338 [==>...........................] - ETA: 16s - loss: 0.6606 - accuracy: 0.6470
45/338 [==>...........................] - ETA: 16s - loss: 0.6596 - accuracy: 0.6493
46/338 [===>..........................] - ETA: 16s - loss: 0.6609 - accuracy: 0.6461
47/338 [===>..........................] - ETA: 16s - loss: 0.6603 - accuracy: 0.6476
48/338 [===>..........................] - ETA: 16s - loss: 0.6614 - accuracy: 0.6445
49/338 [===>..........................] - ETA: 16s - loss: 0.6621 - accuracy: 0.6429
50/338 [===>..........................] - ETA: 16s - loss: 0.6626 - accuracy: 0.6406
51/338 [===>..........................] - ETA: 16s - loss: 0.6626 - accuracy: 0.6403
52/338 [===>..........................] - ETA: 16s - loss: 0.6626 - accuracy: 0.6394
53/338 [===>..........................] - ETA: 16s - loss: 0.6625 - accuracy: 0.6392
54/338 [===>..........................] - ETA: 16s - loss: 0.6626 - accuracy: 0.6377
55/338 [===>..........................] - ETA: 16s - loss: 0.6625 - accuracy: 0.6375
56/338 [===>..........................] - ETA: 16s - loss: 0.6625 - accuracy: 0.6367
57/338 [====>.........................] - ETA: 16s - loss: 0.6618 - accuracy: 0.6387
58/338 [====>.........................] - ETA: 16s - loss: 0.6612 - accuracy: 0.6406
59/338 [====>.........................] - ETA: 16s - loss: 0.6616 - accuracy: 0.6404
60/338 [====>.........................] - ETA: 16s - loss: 0.6619 - accuracy: 0.6391
61/338 [====>.........................] - ETA: 15s - loss: 0.6619 - accuracy: 0.6388
62/338 [====>.........................] - ETA: 15s - loss: 0.6621 - accuracy: 0.6381
63/338 [====>.........................] - ETA: 15s - loss: 0.6614 - accuracy: 0.6399
64/338 [====>.........................] - ETA: 15s - loss: 0.6616 - accuracy: 0.6396
65/338 [====>.........................] - ETA: 15s - loss: 0.6623 - accuracy: 0.6370
66/338 [====>.........................] - ETA: 15s - loss: 0.6623 - accuracy: 0.6373
67/338 [====>.........................] - ETA: 15s - loss: 0.6624 - accuracy: 0.6362
68/338 [=====>........................] - ETA: 15s - loss: 0.6621 - accuracy: 0.6374
69/338 [=====>........................] - ETA: 15s - loss: 0.6626 - accuracy: 0.6350
70/338 [=====>........................] - ETA: 15s - loss: 0.6620 - accuracy: 0.6366
71/338 [=====>........................] - ETA: 15s - loss: 0.6613 - accuracy: 0.6386
72/338 [=====>........................] - ETA: 15s - loss: 0.6609 - accuracy: 0.6393
73/338 [=====>........................] - ETA: 15s - loss: 0.6604 - accuracy: 0.6404
74/338 [=====>........................] - ETA: 15s - loss: 0.6606 - accuracy: 0.6398
75/338 [=====>........................] - ETA: 15s - loss: 0.6609 - accuracy: 0.6388
76/338 [=====>........................] - ETA: 15s - loss: 0.6611 - accuracy: 0.6382
77/338 [=====>........................] - ETA: 15s - loss: 0.6606 - accuracy: 0.6396
78/338 [=====>........................] - ETA: 14s - loss: 0.6604 - accuracy: 0.6398
79/338 [======>.......................] - ETA: 14s - loss: 0.6607 - accuracy: 0.6392
80/338 [======>.......................] - ETA: 14s - loss: 0.6601 - accuracy: 0.6414
81/338 [======>.......................] - ETA: 14s - loss: 0.6605 - accuracy: 0.6404
82/338 [======>.......................] - ETA: 14s - loss: 0.6603 - accuracy: 0.6414
83/338 [======>.......................] - ETA: 14s - loss: 0.6601 - accuracy: 0.6416
84/338 [======>.......................] - ETA: 14s - loss: 0.6596 - accuracy: 0.6429
85/338 [======>.......................] - ETA: 14s - loss: 0.6595 - accuracy: 0.6430
86/338 [======>.......................] - ETA: 14s - loss: 0.6599 - accuracy: 0.6424
87/338 [======>.......................] - ETA: 14s - loss: 0.6599 - accuracy: 0.6422
88/338 [======>.......................] - ETA: 14s - loss: 0.6597 - accuracy: 0.6431
89/338 [======>.......................] - ETA: 14s - loss: 0.6601 - accuracy: 0.6419
90/338 [======>.......................] - ETA: 14s - loss: 0.6597 - accuracy: 0.6431
91/338 [=======>......................] - ETA: 14s - loss: 0.6592 - accuracy: 0.6442
92/338 [=======>......................] - ETA: 14s - loss: 0.6594 - accuracy: 0.6433
93/338 [=======>......................] - ETA: 14s - loss: 0.6590 - accuracy: 0.6442
94/338 [=======>......................] - ETA: 14s - loss: 0.6590 - accuracy: 0.6439
95/338 [=======>......................] - ETA: 13s - loss: 0.6587 - accuracy: 0.6451
96/338 [=======>......................] - ETA: 13s - loss: 0.6590 - accuracy: 0.6442
97/338 [=======>......................] - ETA: 13s - loss: 0.6589 - accuracy: 0.6450
98/338 [=======>......................] - ETA: 13s - loss: 0.6589 - accuracy: 0.6451
99/338 [=======>......................] - ETA: 13s - loss: 0.6587 - accuracy: 0.6455
100/338 [=======>......................] - ETA: 13s - loss: 0.6583 - accuracy: 0.6469
101/338 [=======>......................] - ETA: 13s - loss: 0.6586 - accuracy: 0.6460
102/338 [========>.....................] - ETA: 13s - loss: 0.6585 - accuracy: 0.6458
103/338 [========>.....................] - ETA: 13s - loss: 0.6581 - accuracy: 0.6465
104/338 [========>.....................] - ETA: 13s - loss: 0.6580 - accuracy: 0.6463
105/338 [========>.....................] - ETA: 13s - loss: 0.6579 - accuracy: 0.6467
106/338 [========>.....................] - ETA: 13s - loss: 0.6579 - accuracy: 0.6471
107/338 [========>.....................] - ETA: 13s - loss: 0.6583 - accuracy: 0.6457
108/338 [========>.....................] - ETA: 13s - loss: 0.6586 - accuracy: 0.6450
109/338 [========>.....................] - ETA: 13s - loss: 0.6589 - accuracy: 0.6439
110/338 [========>.....................] - ETA: 13s - loss: 0.6593 - accuracy: 0.6432
111/338 [========>.....................] - ETA: 13s - loss: 0.6593 - accuracy: 0.6430
112/338 [========>.....................] - ETA: 12s - loss: 0.6592 - accuracy: 0.6434
113/338 [=========>....................] - ETA: 12s - loss: 0.6597 - accuracy: 0.6419
114/338 [=========>....................] - ETA: 12s - loss: 0.6597 - accuracy: 0.6420
115/338 [=========>....................] - ETA: 12s - loss: 0.6598 - accuracy: 0.6418
116/338 [=========>....................] - ETA: 12s - loss: 0.6599 - accuracy: 0.6414
117/338 [=========>....................] - ETA: 12s - loss: 0.6597 - accuracy: 0.6421
118/338 [=========>....................] - ETA: 12s - loss: 0.6591 - accuracy: 0.6435
119/338 [=========>....................] - ETA: 12s - loss: 0.6591 - accuracy: 0.6434
120/338 [=========>....................] - ETA: 12s - loss: 0.6589 - accuracy: 0.6443
121/338 [=========>....................] - ETA: 12s - loss: 0.6586 - accuracy: 0.6451
122/338 [=========>....................] - ETA: 12s - loss: 0.6585 - accuracy: 0.6452
123/338 [=========>....................] - ETA: 12s - loss: 0.6588 - accuracy: 0.6443
124/338 [==========>...................] - ETA: 12s - loss: 0.6586 - accuracy: 0.6452
125/338 [==========>...................] - ETA: 12s - loss: 0.6585 - accuracy: 0.6455
126/338 [==========>...................] - ETA: 12s - loss: 0.6588 - accuracy: 0.6451
127/338 [==========>...................] - ETA: 12s - loss: 0.6589 - accuracy: 0.6444
128/338 [==========>...................] - ETA: 12s - loss: 0.6593 - accuracy: 0.6431
129/338 [==========>...................] - ETA: 12s - loss: 0.6589 - accuracy: 0.6439
130/338 [==========>...................] - ETA: 11s - loss: 0.6585 - accuracy: 0.6450
131/338 [==========>...................] - ETA: 11s - loss: 0.6587 - accuracy: 0.6446
132/338 [==========>...................] - ETA: 11s - loss: 0.6585 - accuracy: 0.6446
133/338 [==========>...................] - ETA: 11s - loss: 0.6586 - accuracy: 0.6440
134/338 [==========>...................] - ETA: 11s - loss: 0.6589 - accuracy: 0.6437
135/338 [==========>...................] - ETA: 11s - loss: 0.6586 - accuracy: 0.6444
136/338 [===========>..................] - ETA: 11s - loss: 0.6586 - accuracy: 0.6445
137/338 [===========>..................] - ETA: 11s - loss: 0.6586 - accuracy: 0.6446
138/338 [===========>..................] - ETA: 11s - loss: 0.6588 - accuracy: 0.6445
139/338 [===========>..................] - ETA: 11s - loss: 0.6587 - accuracy: 0.6443
140/338 [===========>..................] - ETA: 11s - loss: 0.6584 - accuracy: 0.6451
141/338 [===========>..................] - ETA: 11s - loss: 0.6588 - accuracy: 0.6438
142/338 [===========>..................] - ETA: 11s - loss: 0.6587 - accuracy: 0.6437
143/338 [===========>..................] - ETA: 11s - loss: 0.6586 - accuracy: 0.6438
144/338 [===========>..................] - ETA: 11s - loss: 0.6584 - accuracy: 0.6443
145/338 [===========>..................] - ETA: 11s - loss: 0.6580 - accuracy: 0.6453
146/338 [===========>..................] - ETA: 11s - loss: 0.6581 - accuracy: 0.6451
147/338 [============>.................] - ETA: 10s - loss: 0.6582 - accuracy: 0.6452
148/338 [============>.................] - ETA: 10s - loss: 0.6582 - accuracy: 0.6451
149/338 [============>.................] - ETA: 10s - loss: 0.6581 - accuracy: 0.6451
150/338 [============>.................] - ETA: 10s - loss: 0.6582 - accuracy: 0.6454
151/338 [============>.................] - ETA: 10s - loss: 0.6584 - accuracy: 0.6449
152/338 [============>.................] - ETA: 10s - loss: 0.6585 - accuracy: 0.6447
153/338 [============>.................] - ETA: 10s - loss: 0.6585 - accuracy: 0.6450
154/338 [============>.................] - ETA: 10s - loss: 0.6583 - accuracy: 0.6449
155/338 [============>.................] - ETA: 10s - loss: 0.6587 - accuracy: 0.6440
156/338 [============>.................] - ETA: 10s - loss: 0.6587 - accuracy: 0.6442
157/338 [============>.................] - ETA: 10s - loss: 0.6588 - accuracy: 0.6437
158/338 [=============>................] - ETA: 10s - loss: 0.6586 - accuracy: 0.6442
159/338 [=============>................] - ETA: 10s - loss: 0.6585 - accuracy: 0.6447
160/338 [=============>................] - ETA: 10s - loss: 0.6585 - accuracy: 0.6445
161/338 [=============>................] - ETA: 10s - loss: 0.6587 - accuracy: 0.6440
162/338 [=============>................] - ETA: 10s - loss: 0.6584 - accuracy: 0.6449
163/338 [=============>................] - ETA: 10s - loss: 0.6581 - accuracy: 0.6455
164/338 [=============>................] - ETA: 10s - loss: 0.6578 - accuracy: 0.6463
165/338 [=============>................] - ETA: 9s - loss: 0.6580 - accuracy: 0.6458
166/338 [=============>................] - ETA: 9s - loss: 0.6581 - accuracy: 0.6457
167/338 [=============>................] - ETA: 9s - loss: 0.6577 - accuracy: 0.6463
168/338 [=============>................] - ETA: 9s - loss: 0.6580 - accuracy: 0.6455
169/338 [==============>...............] - ETA: 9s - loss: 0.6581 - accuracy: 0.6455
170/338 [==============>...............] - ETA: 9s - loss: 0.6579 - accuracy: 0.6460
171/338 [==============>...............] - ETA: 9s - loss: 0.6580 - accuracy: 0.6458
172/338 [==============>...............] - ETA: 9s - loss: 0.6576 - accuracy: 0.6468
173/338 [==============>...............] - ETA: 9s - loss: 0.6575 - accuracy: 0.6469
174/338 [==============>...............] - ETA: 9s - loss: 0.6575 - accuracy: 0.6471
175/338 [==============>...............] - ETA: 9s - loss: 0.6572 - accuracy: 0.6479
176/338 [==============>...............] - ETA: 9s - loss: 0.6572 - accuracy: 0.6479
177/338 [==============>...............] - ETA: 9s - loss: 0.6570 - accuracy: 0.6483
178/338 [==============>...............] - ETA: 9s - loss: 0.6572 - accuracy: 0.6476
179/338 [==============>...............] - ETA: 9s - loss: 0.6571 - accuracy: 0.6479
180/338 [==============>...............] - ETA: 9s - loss: 0.6568 - accuracy: 0.6486
181/338 [===============>..............] - ETA: 9s - loss: 0.6571 - accuracy: 0.6480
182/338 [===============>..............] - ETA: 8s - loss: 0.6572 - accuracy: 0.6478
183/338 [===============>..............] - ETA: 8s - loss: 0.6575 - accuracy: 0.6474
184/338 [===============>..............] - ETA: 8s - loss: 0.6575 - accuracy: 0.6471
185/338 [===============>..............] - ETA: 8s - loss: 0.6573 - accuracy: 0.6478
186/338 [===============>..............] - ETA: 8s - loss: 0.6574 - accuracy: 0.6477
187/338 [===============>..............] - ETA: 8s - loss: 0.6571 - accuracy: 0.6484
188/338 [===============>..............] - ETA: 8s - loss: 0.6572 - accuracy: 0.6483
189/338 [===============>..............] - ETA: 8s - loss: 0.6571 - accuracy: 0.6485
190/338 [===============>..............] - ETA: 8s - loss: 0.6570 - accuracy: 0.6487
191/338 [===============>..............] - ETA: 8s - loss: 0.6570 - accuracy: 0.6486
192/338 [================>.............] - ETA: 8s - loss: 0.6569 - accuracy: 0.6491
193/338 [================>.............] - ETA: 8s - loss: 0.6570 - accuracy: 0.6488
194/338 [================>.............] - ETA: 8s - loss: 0.6569 - accuracy: 0.6490
195/338 [================>.............] - ETA: 8s - loss: 0.6567 - accuracy: 0.6494
196/338 [================>.............] - ETA: 8s - loss: 0.6565 - accuracy: 0.6499
197/338 [================>.............] - ETA: 8s - loss: 0.6568 - accuracy: 0.6491
198/338 [================>.............] - ETA: 8s - loss: 0.6565 - accuracy: 0.6496
199/338 [================>.............] - ETA: 7s - loss: 0.6563 - accuracy: 0.6504
200/338 [================>.............] - ETA: 7s - loss: 0.6562 - accuracy: 0.6505
201/338 [================>.............] - ETA: 7s - loss: 0.6564 - accuracy: 0.6497
202/338 [================>.............] - ETA: 7s - loss: 0.6565 - accuracy: 0.6494
203/338 [=================>............] - ETA: 7s - loss: 0.6565 - accuracy: 0.6495
204/338 [=================>............] - ETA: 7s - loss: 0.6564 - accuracy: 0.6497
205/338 [=================>............] - ETA: 7s - loss: 0.6561 - accuracy: 0.6503
206/338 [=================>............] - ETA: 7s - loss: 0.6559 - accuracy: 0.6506
207/338 [=================>............] - ETA: 7s - loss: 0.6557 - accuracy: 0.6513
208/338 [=================>............] - ETA: 7s - loss: 0.6556 - accuracy: 0.6514
209/338 [=================>............] - ETA: 7s - loss: 0.6554 - accuracy: 0.6519
210/338 [=================>............] - ETA: 7s - loss: 0.6554 - accuracy: 0.6518
211/338 [=================>............] - ETA: 7s - loss: 0.6553 - accuracy: 0.6520
212/338 [=================>............] - ETA: 7s - loss: 0.6554 - accuracy: 0.6518
213/338 [=================>............] - ETA: 7s - loss: 0.6556 - accuracy: 0.6513
214/338 [=================>............] - ETA: 7s - loss: 0.6557 - accuracy: 0.6510
215/338 [==================>...........] - ETA: 7s - loss: 0.6556 - accuracy: 0.6513
216/338 [==================>...........] - ETA: 7s - loss: 0.6555 - accuracy: 0.6513
217/338 [==================>...........] - ETA: 6s - loss: 0.6554 - accuracy: 0.6516
218/338 [==================>...........] - ETA: 6s - loss: 0.6555 - accuracy: 0.6517
219/338 [==================>...........] - ETA: 6s - loss: 0.6555 - accuracy: 0.6518
220/338 [==================>...........] - ETA: 6s - loss: 0.6554 - accuracy: 0.6518
221/338 [==================>...........] - ETA: 6s - loss: 0.6556 - accuracy: 0.6513
222/338 [==================>...........] - ETA: 6s - loss: 0.6555 - accuracy: 0.6513
223/338 [==================>...........] - ETA: 6s - loss: 0.6555 - accuracy: 0.6515
224/338 [==================>...........] - ETA: 6s - loss: 0.6555 - accuracy: 0.6516
225/338 [==================>...........] - ETA: 6s - loss: 0.6553 - accuracy: 0.6522
226/338 [===================>..........] - ETA: 6s - loss: 0.6553 - accuracy: 0.6521
227/338 [===================>..........] - ETA: 6s - loss: 0.6553 - accuracy: 0.6521
228/338 [===================>..........] - ETA: 6s - loss: 0.6550 - accuracy: 0.6527
229/338 [===================>..........] - ETA: 6s - loss: 0.6550 - accuracy: 0.6527
230/338 [===================>..........] - ETA: 6s - loss: 0.6550 - accuracy: 0.6527
231/338 [===================>..........] - ETA: 6s - loss: 0.6549 - accuracy: 0.6531
232/338 [===================>..........] - ETA: 6s - loss: 0.6549 - accuracy: 0.6534
233/338 [===================>..........] - ETA: 6s - loss: 0.6547 - accuracy: 0.6538
234/338 [===================>..........] - ETA: 5s - loss: 0.6546 - accuracy: 0.6541
235/338 [===================>..........] - ETA: 5s - loss: 0.6544 - accuracy: 0.6547
236/338 [===================>..........] - ETA: 5s - loss: 0.6545 - accuracy: 0.6544
237/338 [====================>.........] - ETA: 5s - loss: 0.6546 - accuracy: 0.6541
238/338 [====================>.........] - ETA: 5s - loss: 0.6546 - accuracy: 0.6540
239/338 [====================>.........] - ETA: 5s - loss: 0.6542 - accuracy: 0.6549
240/338 [====================>.........] - ETA: 5s - loss: 0.6542 - accuracy: 0.6551
241/338 [====================>.........] - ETA: 5s - loss: 0.6541 - accuracy: 0.6553
242/338 [====================>.........] - ETA: 5s - loss: 0.6540 - accuracy: 0.6553
243/338 [====================>.........] - ETA: 5s - loss: 0.6540 - accuracy: 0.6555
244/338 [====================>.........] - ETA: 5s - loss: 0.6540 - accuracy: 0.6554
245/338 [====================>.........] - ETA: 5s - loss: 0.6539 - accuracy: 0.6559
246/338 [====================>.........] - ETA: 5s - loss: 0.6539 - accuracy: 0.6557
247/338 [====================>.........] - ETA: 5s - loss: 0.6536 - accuracy: 0.6564
248/338 [=====================>........] - ETA: 5s - loss: 0.6535 - accuracy: 0.6565
249/338 [=====================>........] - ETA: 5s - loss: 0.6535 - accuracy: 0.6565
250/338 [=====================>........] - ETA: 5s - loss: 0.6536 - accuracy: 0.6561
251/338 [=====================>........] - ETA: 5s - loss: 0.6535 - accuracy: 0.6562
252/338 [=====================>........] - ETA: 4s - loss: 0.6536 - accuracy: 0.6560
253/338 [=====================>........] - ETA: 4s - loss: 0.6536 - accuracy: 0.6559
254/338 [=====================>........] - ETA: 4s - loss: 0.6534 - accuracy: 0.6564
255/338 [=====================>........] - ETA: 4s - loss: 0.6533 - accuracy: 0.6567
256/338 [=====================>........] - ETA: 4s - loss: 0.6534 - accuracy: 0.6566
257/338 [=====================>........] - ETA: 4s - loss: 0.6530 - accuracy: 0.6571
258/338 [=====================>........] - ETA: 4s - loss: 0.6531 - accuracy: 0.6569
259/338 [=====================>........] - ETA: 4s - loss: 0.6534 - accuracy: 0.6562
260/338 [======================>.......] - ETA: 4s - loss: 0.6530 - accuracy: 0.6569
261/338 [======================>.......] - ETA: 4s - loss: 0.6530 - accuracy: 0.6571
262/338 [======================>.......] - ETA: 4s - loss: 0.6529 - accuracy: 0.6573
263/338 [======================>.......] - ETA: 4s - loss: 0.6528 - accuracy: 0.6574
264/338 [======================>.......] - ETA: 4s - loss: 0.6528 - accuracy: 0.6573
265/338 [======================>.......] - ETA: 4s - loss: 0.6529 - accuracy: 0.6570
266/338 [======================>.......] - ETA: 4s - loss: 0.6530 - accuracy: 0.6567
267/338 [======================>.......] - ETA: 4s - loss: 0.6528 - accuracy: 0.6571
268/338 [======================>.......] - ETA: 4s - loss: 0.6529 - accuracy: 0.6568
269/338 [======================>.......] - ETA: 3s - loss: 0.6529 - accuracy: 0.6568
270/338 [======================>.......] - ETA: 3s - loss: 0.6529 - accuracy: 0.6567
271/338 [=======================>......] - ETA: 3s - loss: 0.6529 - accuracy: 0.6568
272/338 [=======================>......] - ETA: 3s - loss: 0.6530 - accuracy: 0.6568
273/338 [=======================>......] - ETA: 3s - loss: 0.6531 - accuracy: 0.6566
274/338 [=======================>......] - ETA: 3s - loss: 0.6532 - accuracy: 0.6565
275/338 [=======================>......] - ETA: 3s - loss: 0.6529 - accuracy: 0.6569
276/338 [=======================>......] - ETA: 3s - loss: 0.6528 - accuracy: 0.6570
277/338 [=======================>......] - ETA: 3s - loss: 0.6526 - accuracy: 0.6575
278/338 [=======================>......] - ETA: 3s - loss: 0.6526 - accuracy: 0.6575
279/338 [=======================>......] - ETA: 3s - loss: 0.6523 - accuracy: 0.6582
280/338 [=======================>......] - ETA: 3s - loss: 0.6525 - accuracy: 0.6578
281/338 [=======================>......] - ETA: 3s - loss: 0.6524 - accuracy: 0.6580
282/338 [========================>.....] - ETA: 3s - loss: 0.6524 - accuracy: 0.6580
283/338 [========================>.....] - ETA: 3s - loss: 0.6524 - accuracy: 0.6579
284/338 [========================>.....] - ETA: 3s - loss: 0.6521 - accuracy: 0.6583
285/338 [========================>.....] - ETA: 3s - loss: 0.6521 - accuracy: 0.6584
286/338 [========================>.....] - ETA: 2s - loss: 0.6523 - accuracy: 0.6580
287/338 [========================>.....] - ETA: 2s - loss: 0.6526 - accuracy: 0.6572
288/338 [========================>.....] - ETA: 2s - loss: 0.6524 - accuracy: 0.6577
289/338 [========================>.....] - ETA: 2s - loss: 0.6523 - accuracy: 0.6580
290/338 [========================>.....] - ETA: 2s - loss: 0.6520 - accuracy: 0.6587
291/338 [========================>.....] - ETA: 2s - loss: 0.6519 - accuracy: 0.6588
292/338 [========================>.....] - ETA: 2s - loss: 0.6518 - accuracy: 0.6590
293/338 [=========================>....] - ETA: 2s - loss: 0.6518 - accuracy: 0.6590
294/338 [=========================>....] - ETA: 2s - loss: 0.6518 - accuracy: 0.6590
295/338 [=========================>....] - ETA: 2s - loss: 0.6516 - accuracy: 0.6592
296/338 [=========================>....] - ETA: 2s - loss: 0.6518 - accuracy: 0.6590
297/338 [=========================>....] - ETA: 2s - loss: 0.6515 - accuracy: 0.6596
298/338 [=========================>....] - ETA: 2s - loss: 0.6514 - accuracy: 0.6598
299/338 [=========================>....] - ETA: 2s - loss: 0.6515 - accuracy: 0.6598
300/338 [=========================>....] - ETA: 2s - loss: 0.6516 - accuracy: 0.6595
301/338 [=========================>....] - ETA: 2s - loss: 0.6515 - accuracy: 0.6597
302/338 [=========================>....] - ETA: 2s - loss: 0.6516 - accuracy: 0.6596
303/338 [=========================>....] - ETA: 2s - loss: 0.6513 - accuracy: 0.6602
304/338 [=========================>....] - ETA: 1s - loss: 0.6512 - accuracy: 0.6603
305/338 [==========================>...] - ETA: 1s - loss: 0.6513 - accuracy: 0.6601
306/338 [==========================>...] - ETA: 1s - loss: 0.6510 - accuracy: 0.6606
307/338 [==========================>...] - ETA: 1s - loss: 0.6511 - accuracy: 0.6604
308/338 [==========================>...] - ETA: 1s - loss: 0.6511 - accuracy: 0.6606
309/338 [==========================>...] - ETA: 1s - loss: 0.6512 - accuracy: 0.6604
310/338 [==========================>...] - ETA: 1s - loss: 0.6512 - accuracy: 0.6603
311/338 [==========================>...] - ETA: 1s - loss: 0.6512 - accuracy: 0.6603
312/338 [==========================>...] - ETA: 1s - loss: 0.6513 - accuracy: 0.6601
313/338 [==========================>...] - ETA: 1s - loss: 0.6514 - accuracy: 0.6599
314/338 [==========================>...] - ETA: 1s - loss: 0.6512 - accuracy: 0.6602
315/338 [==========================>...] - ETA: 1s - loss: 0.6514 - accuracy: 0.6600
316/338 [===========================>..] - ETA: 1s - loss: 0.6516 - accuracy: 0.6595
317/338 [===========================>..] - ETA: 1s - loss: 0.6517 - accuracy: 0.6593
318/338 [===========================>..] - ETA: 1s - loss: 0.6515 - accuracy: 0.6597
319/338 [===========================>..] - ETA: 1s - loss: 0.6515 - accuracy: 0.6599
320/338 [===========================>..] - ETA: 1s - loss: 0.6516 - accuracy: 0.6595
321/338 [===========================>..] - ETA: 0s - loss: 0.6515 - accuracy: 0.6596
322/338 [===========================>..] - ETA: 0s - loss: 0.6516 - accuracy: 0.6594
323/338 [===========================>..] - ETA: 0s - loss: 0.6516 - accuracy: 0.6594
324/338 [===========================>..] - ETA: 0s - loss: 0.6513 - accuracy: 0.6600
325/338 [===========================>..] - ETA: 0s - loss: 0.6512 - accuracy: 0.6601
326/338 [===========================>..] - ETA: 0s - loss: 0.6511 - accuracy: 0.6603
327/338 [============================>.] - ETA: 0s - loss: 0.6512 - accuracy: 0.6602
328/338 [============================>.] - ETA: 0s - loss: 0.6510 - accuracy: 0.6604
329/338 [============================>.] - ETA: 0s - loss: 0.6510 - accuracy: 0.6606
330/338 [============================>.] - ETA: 0s - loss: 0.6511 - accuracy: 0.6603
331/338 [============================>.] - ETA: 0s - loss: 0.6511 - accuracy: 0.6603
332/338 [============================>.] - ETA: 0s - loss: 0.6512 - accuracy: 0.6602
333/338 [============================>.] - ETA: 0s - loss: 0.6514 - accuracy: 0.6597
334/338 [============================>.] - ETA: 0s - loss: 0.6514 - accuracy: 0.6597
335/338 [============================>.] - ETA: 0s - loss: 0.6513 - accuracy: 0.6601
336/338 [============================>.] - ETA: 0s - loss: 0.6514 - accuracy: 0.6598
337/338 [============================>.] - ETA: 0s - loss: 0.6515 - accuracy: 0.6594
338/338 [==============================] - 21s 62ms/step - loss: 0.6515 - accuracy: 0.6595 - val_loss: 0.6660 - val_accuracy: 0.6153
Epoch 5/5
1/338 [..............................] - ETA: 18s - loss: 0.5872 - accuracy: 0.8125
2/338 [..............................] - ETA: 18s - loss: 0.6303 - accuracy: 0.7188
3/338 [..............................] - ETA: 18s - loss: 0.6449 - accuracy: 0.6771
4/338 [..............................] - ETA: 19s - loss: 0.6355 - accuracy: 0.6875
5/338 [..............................] - ETA: 18s - loss: 0.6339 - accuracy: 0.6938
6/338 [..............................] - ETA: 18s - loss: 0.6423 - accuracy: 0.6771
7/338 [..............................] - ETA: 19s - loss: 0.6489 - accuracy: 0.6652
8/338 [..............................] - ETA: 19s - loss: 0.6499 - accuracy: 0.6641
9/338 [..............................] - ETA: 18s - loss: 0.6529 - accuracy: 0.6562
10/338 [..............................] - ETA: 18s - loss: 0.6486 - accuracy: 0.6656
11/338 [..............................] - ETA: 18s - loss: 0.6468 - accuracy: 0.6705
12/338 [>.............................] - ETA: 18s - loss: 0.6492 - accuracy: 0.6667
13/338 [>.............................] - ETA: 18s - loss: 0.6481 - accuracy: 0.6683
14/338 [>.............................] - ETA: 18s - loss: 0.6476 - accuracy: 0.6674
15/338 [>.............................] - ETA: 18s - loss: 0.6441 - accuracy: 0.6750
16/338 [>.............................] - ETA: 18s - loss: 0.6462 - accuracy: 0.6719
17/338 [>.............................] - ETA: 18s - loss: 0.6487 - accuracy: 0.6673
18/338 [>.............................] - ETA: 18s - loss: 0.6484 - accuracy: 0.6684
19/338 [>.............................] - ETA: 18s - loss: 0.6474 - accuracy: 0.6678
20/338 [>.............................] - ETA: 18s - loss: 0.6487 - accuracy: 0.6625
21/338 [>.............................] - ETA: 18s - loss: 0.6493 - accuracy: 0.6592
22/338 [>.............................] - ETA: 18s - loss: 0.6506 - accuracy: 0.6577
23/338 [=>............................] - ETA: 18s - loss: 0.6511 - accuracy: 0.6562
24/338 [=>............................] - ETA: 18s - loss: 0.6509 - accuracy: 0.6562
25/338 [=>............................] - ETA: 17s - loss: 0.6523 - accuracy: 0.6550
26/338 [=>............................] - ETA: 17s - loss: 0.6517 - accuracy: 0.6550
27/338 [=>............................] - ETA: 17s - loss: 0.6511 - accuracy: 0.6551
28/338 [=>............................] - ETA: 17s - loss: 0.6508 - accuracy: 0.6551
29/338 [=>............................] - ETA: 17s - loss: 0.6505 - accuracy: 0.6552
30/338 [=>............................] - ETA: 17s - loss: 0.6501 - accuracy: 0.6562
31/338 [=>............................] - ETA: 17s - loss: 0.6495 - accuracy: 0.6573
32/338 [=>............................] - ETA: 17s - loss: 0.6489 - accuracy: 0.6582
33/338 [=>............................] - ETA: 17s - loss: 0.6500 - accuracy: 0.6562
34/338 [==>...........................] - ETA: 17s - loss: 0.6492 - accuracy: 0.6581
35/338 [==>...........................] - ETA: 17s - loss: 0.6494 - accuracy: 0.6562
36/338 [==>...........................] - ETA: 17s - loss: 0.6501 - accuracy: 0.6554
37/338 [==>...........................] - ETA: 17s - loss: 0.6498 - accuracy: 0.6571
38/338 [==>...........................] - ETA: 17s - loss: 0.6515 - accuracy: 0.6546
39/338 [==>...........................] - ETA: 17s - loss: 0.6501 - accuracy: 0.6579
40/338 [==>...........................] - ETA: 17s - loss: 0.6496 - accuracy: 0.6586
41/338 [==>...........................] - ETA: 17s - loss: 0.6490 - accuracy: 0.6585
42/338 [==>...........................] - ETA: 17s - loss: 0.6477 - accuracy: 0.6600
43/338 [==>...........................] - ETA: 17s - loss: 0.6492 - accuracy: 0.6562
44/338 [==>...........................] - ETA: 16s - loss: 0.6473 - accuracy: 0.6598
45/338 [==>...........................] - ETA: 16s - loss: 0.6474 - accuracy: 0.6597
46/338 [===>..........................] - ETA: 16s - loss: 0.6475 - accuracy: 0.6596
47/338 [===>..........................] - ETA: 16s - loss: 0.6472 - accuracy: 0.6596
48/338 [===>..........................] - ETA: 16s - loss: 0.6477 - accuracy: 0.6582
49/338 [===>..........................] - ETA: 16s - loss: 0.6483 - accuracy: 0.6569
50/338 [===>..........................] - ETA: 16s - loss: 0.6497 - accuracy: 0.6538
51/338 [===>..........................] - ETA: 16s - loss: 0.6503 - accuracy: 0.6526
52/338 [===>..........................] - ETA: 16s - loss: 0.6495 - accuracy: 0.6538
53/338 [===>..........................] - ETA: 16s - loss: 0.6503 - accuracy: 0.6515
54/338 [===>..........................] - ETA: 16s - loss: 0.6500 - accuracy: 0.6522
55/338 [===>..........................] - ETA: 16s - loss: 0.6496 - accuracy: 0.6528
56/338 [===>..........................] - ETA: 16s - loss: 0.6482 - accuracy: 0.6551
57/338 [====>.........................] - ETA: 16s - loss: 0.6483 - accuracy: 0.6546
58/338 [====>.........................] - ETA: 16s - loss: 0.6490 - accuracy: 0.6536
59/338 [====>.........................] - ETA: 16s - loss: 0.6499 - accuracy: 0.6520
60/338 [====>.........................] - ETA: 16s - loss: 0.6499 - accuracy: 0.6516
61/338 [====>.........................] - ETA: 15s - loss: 0.6496 - accuracy: 0.6522
62/338 [====>.........................] - ETA: 15s - loss: 0.6499 - accuracy: 0.6522
63/338 [====>.........................] - ETA: 15s - loss: 0.6506 - accuracy: 0.6503
64/338 [====>.........................] - ETA: 15s - loss: 0.6509 - accuracy: 0.6489
65/338 [====>.........................] - ETA: 15s - loss: 0.6513 - accuracy: 0.6476
66/338 [====>.........................] - ETA: 15s - loss: 0.6512 - accuracy: 0.6477
67/338 [====>.........................] - ETA: 15s - loss: 0.6522 - accuracy: 0.6460
68/338 [=====>........................] - ETA: 15s - loss: 0.6515 - accuracy: 0.6475
69/338 [=====>........................] - ETA: 15s - loss: 0.6509 - accuracy: 0.6490
70/338 [=====>........................] - ETA: 15s - loss: 0.6508 - accuracy: 0.6496
71/338 [=====>........................] - ETA: 15s - loss: 0.6511 - accuracy: 0.6488
72/338 [=====>........................] - ETA: 15s - loss: 0.6501 - accuracy: 0.6506
73/338 [=====>........................] - ETA: 15s - loss: 0.6500 - accuracy: 0.6507
74/338 [=====>........................] - ETA: 15s - loss: 0.6501 - accuracy: 0.6491
75/338 [=====>........................] - ETA: 15s - loss: 0.6489 - accuracy: 0.6521
76/338 [=====>........................] - ETA: 15s - loss: 0.6492 - accuracy: 0.6517
77/338 [=====>........................] - ETA: 15s - loss: 0.6488 - accuracy: 0.6530
78/338 [=====>........................] - ETA: 14s - loss: 0.6489 - accuracy: 0.6526
79/338 [======>.......................] - ETA: 14s - loss: 0.6489 - accuracy: 0.6531
80/338 [======>.......................] - ETA: 14s - loss: 0.6481 - accuracy: 0.6555
81/338 [======>.......................] - ETA: 14s - loss: 0.6468 - accuracy: 0.6582
82/338 [======>.......................] - ETA: 14s - loss: 0.6470 - accuracy: 0.6570
83/338 [======>.......................] - ETA: 14s - loss: 0.6464 - accuracy: 0.6585
84/338 [======>.......................] - ETA: 14s - loss: 0.6452 - accuracy: 0.6607
85/338 [======>.......................] - ETA: 14s - loss: 0.6463 - accuracy: 0.6592
86/338 [======>.......................] - ETA: 14s - loss: 0.6460 - accuracy: 0.6599
87/338 [======>.......................] - ETA: 14s - loss: 0.6467 - accuracy: 0.6591
88/338 [======>.......................] - ETA: 14s - loss: 0.6466 - accuracy: 0.6598
89/338 [======>.......................] - ETA: 14s - loss: 0.6462 - accuracy: 0.6608
90/338 [======>.......................] - ETA: 14s - loss: 0.6459 - accuracy: 0.6618
91/338 [=======>......................] - ETA: 14s - loss: 0.6461 - accuracy: 0.6614
92/338 [=======>......................] - ETA: 14s - loss: 0.6470 - accuracy: 0.6596
93/338 [=======>......................] - ETA: 14s - loss: 0.6481 - accuracy: 0.6576
94/338 [=======>......................] - ETA: 14s - loss: 0.6484 - accuracy: 0.6569
95/338 [=======>......................] - ETA: 13s - loss: 0.6485 - accuracy: 0.6572
96/338 [=======>......................] - ETA: 13s - loss: 0.6483 - accuracy: 0.6576
97/338 [=======>......................] - ETA: 13s - loss: 0.6486 - accuracy: 0.6575
98/338 [=======>......................] - ETA: 13s - loss: 0.6493 - accuracy: 0.6562
99/338 [=======>......................] - ETA: 13s - loss: 0.6488 - accuracy: 0.6575
100/338 [=======>......................] - ETA: 13s - loss: 0.6491 - accuracy: 0.6569
101/338 [=======>......................] - ETA: 13s - loss: 0.6491 - accuracy: 0.6572
102/338 [========>.....................] - ETA: 13s - loss: 0.6489 - accuracy: 0.6569
103/338 [========>.....................] - ETA: 13s - loss: 0.6488 - accuracy: 0.6572
104/338 [========>.....................] - ETA: 13s - loss: 0.6490 - accuracy: 0.6569
105/338 [========>.....................] - ETA: 13s - loss: 0.6483 - accuracy: 0.6586
106/338 [========>.....................] - ETA: 13s - loss: 0.6481 - accuracy: 0.6589
107/338 [========>.....................] - ETA: 13s - loss: 0.6484 - accuracy: 0.6574
108/338 [========>.....................] - ETA: 13s - loss: 0.6486 - accuracy: 0.6568
109/338 [========>.....................] - ETA: 13s - loss: 0.6485 - accuracy: 0.6568
110/338 [========>.....................] - ETA: 13s - loss: 0.6487 - accuracy: 0.6565
111/338 [========>.....................] - ETA: 13s - loss: 0.6484 - accuracy: 0.6571
112/338 [========>.....................] - ETA: 12s - loss: 0.6491 - accuracy: 0.6557
113/338 [=========>....................] - ETA: 12s - loss: 0.6488 - accuracy: 0.6562
114/338 [=========>....................] - ETA: 12s - loss: 0.6491 - accuracy: 0.6554
115/338 [=========>....................] - ETA: 12s - loss: 0.6486 - accuracy: 0.6562
116/338 [=========>....................] - ETA: 12s - loss: 0.6489 - accuracy: 0.6560
117/338 [=========>....................] - ETA: 12s - loss: 0.6491 - accuracy: 0.6560
118/338 [=========>....................] - ETA: 12s - loss: 0.6489 - accuracy: 0.6568
119/338 [=========>....................] - ETA: 12s - loss: 0.6488 - accuracy: 0.6568
120/338 [=========>....................] - ETA: 12s - loss: 0.6492 - accuracy: 0.6562
121/338 [=========>....................] - ETA: 12s - loss: 0.6489 - accuracy: 0.6565
122/338 [=========>....................] - ETA: 12s - loss: 0.6492 - accuracy: 0.6552
123/338 [=========>....................] - ETA: 12s - loss: 0.6489 - accuracy: 0.6562
124/338 [==========>...................] - ETA: 12s - loss: 0.6491 - accuracy: 0.6560
125/338 [==========>...................] - ETA: 12s - loss: 0.6486 - accuracy: 0.6572
126/338 [==========>...................] - ETA: 12s - loss: 0.6488 - accuracy: 0.6575
127/338 [==========>...................] - ETA: 12s - loss: 0.6487 - accuracy: 0.6577
128/338 [==========>...................] - ETA: 12s - loss: 0.6492 - accuracy: 0.6570
129/338 [==========>...................] - ETA: 11s - loss: 0.6492 - accuracy: 0.6567
130/338 [==========>...................] - ETA: 11s - loss: 0.6491 - accuracy: 0.6565
131/338 [==========>...................] - ETA: 11s - loss: 0.6494 - accuracy: 0.6555
132/338 [==========>...................] - ETA: 11s - loss: 0.6491 - accuracy: 0.6560
133/338 [==========>...................] - ETA: 11s - loss: 0.6489 - accuracy: 0.6565
134/338 [==========>...................] - ETA: 11s - loss: 0.6487 - accuracy: 0.6567
135/338 [==========>...................] - ETA: 11s - loss: 0.6485 - accuracy: 0.6572
136/338 [===========>..................] - ETA: 11s - loss: 0.6482 - accuracy: 0.6579
137/338 [===========>..................] - ETA: 11s - loss: 0.6481 - accuracy: 0.6581
138/338 [===========>..................] - ETA: 11s - loss: 0.6484 - accuracy: 0.6572
139/338 [===========>..................] - ETA: 11s - loss: 0.6481 - accuracy: 0.6578
140/338 [===========>..................] - ETA: 11s - loss: 0.6480 - accuracy: 0.6580
141/338 [===========>..................] - ETA: 11s - loss: 0.6478 - accuracy: 0.6582
142/338 [===========>..................] - ETA: 11s - loss: 0.6481 - accuracy: 0.6578
143/338 [===========>..................] - ETA: 11s - loss: 0.6479 - accuracy: 0.6580
144/338 [===========>..................] - ETA: 11s - loss: 0.6483 - accuracy: 0.6576
145/338 [===========>..................] - ETA: 11s - loss: 0.6485 - accuracy: 0.6571
146/338 [===========>..................] - ETA: 10s - loss: 0.6479 - accuracy: 0.6582
147/338 [============>.................] - ETA: 10s - loss: 0.6479 - accuracy: 0.6582
148/338 [============>.................] - ETA: 10s - loss: 0.6477 - accuracy: 0.6584
149/338 [============>.................] - ETA: 10s - loss: 0.6478 - accuracy: 0.6579
150/338 [============>.................] - ETA: 10s - loss: 0.6473 - accuracy: 0.6587
151/338 [============>.................] - ETA: 10s - loss: 0.6475 - accuracy: 0.6587
152/338 [============>.................] - ETA: 10s - loss: 0.6475 - accuracy: 0.6589
153/338 [============>.................] - ETA: 10s - loss: 0.6476 - accuracy: 0.6589
154/338 [============>.................] - ETA: 10s - loss: 0.6481 - accuracy: 0.6577
155/338 [============>.................] - ETA: 10s - loss: 0.6484 - accuracy: 0.6571
156/338 [============>.................] - ETA: 10s - loss: 0.6485 - accuracy: 0.6567
157/338 [============>.................] - ETA: 10s - loss: 0.6490 - accuracy: 0.6559
158/338 [=============>................] - ETA: 10s - loss: 0.6489 - accuracy: 0.6561
159/338 [=============>................] - ETA: 10s - loss: 0.6487 - accuracy: 0.6562
160/338 [=============>................] - ETA: 10s - loss: 0.6484 - accuracy: 0.6572
161/338 [=============>................] - ETA: 10s - loss: 0.6483 - accuracy: 0.6574
162/338 [=============>................] - ETA: 10s - loss: 0.6482 - accuracy: 0.6572
163/338 [=============>................] - ETA: 9s - loss: 0.6481 - accuracy: 0.6572
164/338 [=============>................] - ETA: 9s - loss: 0.6485 - accuracy: 0.6566
165/338 [=============>................] - ETA: 9s - loss: 0.6481 - accuracy: 0.6574
166/338 [=============>................] - ETA: 9s - loss: 0.6482 - accuracy: 0.6570
167/338 [=============>................] - ETA: 9s - loss: 0.6483 - accuracy: 0.6566
168/338 [=============>................] - ETA: 9s - loss: 0.6481 - accuracy: 0.6570
169/338 [==============>...............] - ETA: 9s - loss: 0.6478 - accuracy: 0.6575
170/338 [==============>...............] - ETA: 9s - loss: 0.6479 - accuracy: 0.6572
171/338 [==============>...............] - ETA: 9s - loss: 0.6482 - accuracy: 0.6566
172/338 [==============>...............] - ETA: 9s - loss: 0.6479 - accuracy: 0.6572
173/338 [==============>...............] - ETA: 9s - loss: 0.6479 - accuracy: 0.6572
174/338 [==============>...............] - ETA: 9s - loss: 0.6481 - accuracy: 0.6570
175/338 [==============>...............] - ETA: 9s - loss: 0.6481 - accuracy: 0.6570
176/338 [==============>...............] - ETA: 9s - loss: 0.6483 - accuracy: 0.6566
177/338 [==============>...............] - ETA: 9s - loss: 0.6482 - accuracy: 0.6571
178/338 [==============>...............] - ETA: 9s - loss: 0.6474 - accuracy: 0.6585
179/338 [==============>...............] - ETA: 9s - loss: 0.6474 - accuracy: 0.6585
180/338 [==============>...............] - ETA: 9s - loss: 0.6472 - accuracy: 0.6589
181/338 [===============>..............] - ETA: 8s - loss: 0.6471 - accuracy: 0.6592
182/338 [===============>..............] - ETA: 8s - loss: 0.6471 - accuracy: 0.6593
183/338 [===============>..............] - ETA: 8s - loss: 0.6470 - accuracy: 0.6595
184/338 [===============>..............] - ETA: 8s - loss: 0.6468 - accuracy: 0.6598
185/338 [===============>..............] - ETA: 8s - loss: 0.6469 - accuracy: 0.6596
186/338 [===============>..............] - ETA: 8s - loss: 0.6465 - accuracy: 0.6605
187/338 [===============>..............] - ETA: 8s - loss: 0.6459 - accuracy: 0.6614
188/338 [===============>..............] - ETA: 8s - loss: 0.6458 - accuracy: 0.6616
189/338 [===============>..............] - ETA: 8s - loss: 0.6457 - accuracy: 0.6620
190/338 [===============>..............] - ETA: 8s - loss: 0.6460 - accuracy: 0.6613
191/338 [===============>..............] - ETA: 8s - loss: 0.6460 - accuracy: 0.6612
192/338 [================>.............] - ETA: 8s - loss: 0.6463 - accuracy: 0.6605
193/338 [================>.............] - ETA: 8s - loss: 0.6464 - accuracy: 0.6601
194/338 [================>.............] - ETA: 8s - loss: 0.6467 - accuracy: 0.6596
195/338 [================>.............] - ETA: 8s - loss: 0.6469 - accuracy: 0.6596
196/338 [================>.............] - ETA: 8s - loss: 0.6464 - accuracy: 0.6604
197/338 [================>.............] - ETA: 8s - loss: 0.6464 - accuracy: 0.6604
198/338 [================>.............] - ETA: 7s - loss: 0.6465 - accuracy: 0.6602
199/338 [================>.............] - ETA: 7s - loss: 0.6463 - accuracy: 0.6605
200/338 [================>.............] - ETA: 7s - loss: 0.6463 - accuracy: 0.6603
201/338 [================>.............] - ETA: 7s - loss: 0.6466 - accuracy: 0.6598
202/338 [================>.............] - ETA: 7s - loss: 0.6467 - accuracy: 0.6595
203/338 [=================>............] - ETA: 7s - loss: 0.6465 - accuracy: 0.6598
204/338 [=================>............] - ETA: 7s - loss: 0.6469 - accuracy: 0.6593
205/338 [=================>............] - ETA: 7s - loss: 0.6467 - accuracy: 0.6599
206/338 [=================>............] - ETA: 7s - loss: 0.6466 - accuracy: 0.6599
207/338 [=================>............] - ETA: 7s - loss: 0.6470 - accuracy: 0.6593
208/338 [=================>............] - ETA: 7s - loss: 0.6469 - accuracy: 0.6594
209/338 [=================>............] - ETA: 7s - loss: 0.6466 - accuracy: 0.6598
210/338 [=================>............] - ETA: 7s - loss: 0.6465 - accuracy: 0.6600
211/338 [=================>............] - ETA: 7s - loss: 0.6464 - accuracy: 0.6605
212/338 [=================>............] - ETA: 7s - loss: 0.6464 - accuracy: 0.6605
213/338 [=================>............] - ETA: 7s - loss: 0.6465 - accuracy: 0.6604
214/338 [=================>............] - ETA: 7s - loss: 0.6467 - accuracy: 0.6602
215/338 [==================>...........] - ETA: 7s - loss: 0.6464 - accuracy: 0.6610
216/338 [==================>...........] - ETA: 6s - loss: 0.6464 - accuracy: 0.6610
217/338 [==================>...........] - ETA: 6s - loss: 0.6465 - accuracy: 0.6606
218/338 [==================>...........] - ETA: 6s - loss: 0.6464 - accuracy: 0.6610
219/338 [==================>...........] - ETA: 6s - loss: 0.6463 - accuracy: 0.6611
220/338 [==================>...........] - ETA: 6s - loss: 0.6460 - accuracy: 0.6616
221/338 [==================>...........] - ETA: 6s - loss: 0.6460 - accuracy: 0.6615
222/338 [==================>...........] - ETA: 6s - loss: 0.6462 - accuracy: 0.6609
223/338 [==================>...........] - ETA: 6s - loss: 0.6465 - accuracy: 0.6606
224/338 [==================>...........] - ETA: 6s - loss: 0.6463 - accuracy: 0.6610
225/338 [==================>...........] - ETA: 6s - loss: 0.6462 - accuracy: 0.6612
226/338 [===================>..........] - ETA: 6s - loss: 0.6463 - accuracy: 0.6611
227/338 [===================>..........] - ETA: 6s - loss: 0.6463 - accuracy: 0.6612
228/338 [===================>..........] - ETA: 6s - loss: 0.6462 - accuracy: 0.6615
229/338 [===================>..........] - ETA: 6s - loss: 0.6459 - accuracy: 0.6620
230/338 [===================>..........] - ETA: 6s - loss: 0.6462 - accuracy: 0.6613
231/338 [===================>..........] - ETA: 6s - loss: 0.6464 - accuracy: 0.6610
232/338 [===================>..........] - ETA: 6s - loss: 0.6461 - accuracy: 0.6614
233/338 [===================>..........] - ETA: 5s - loss: 0.6460 - accuracy: 0.6616
234/338 [===================>..........] - ETA: 5s - loss: 0.6459 - accuracy: 0.6619
235/338 [===================>..........] - ETA: 5s - loss: 0.6459 - accuracy: 0.6620
236/338 [===================>..........] - ETA: 5s - loss: 0.6461 - accuracy: 0.6615
237/338 [====================>.........] - ETA: 5s - loss: 0.6462 - accuracy: 0.6613
238/338 [====================>.........] - ETA: 5s - loss: 0.6464 - accuracy: 0.6611
239/338 [====================>.........] - ETA: 5s - loss: 0.6466 - accuracy: 0.6607
240/338 [====================>.........] - ETA: 5s - loss: 0.6466 - accuracy: 0.6609
241/338 [====================>.........] - ETA: 5s - loss: 0.6465 - accuracy: 0.6609
242/338 [====================>.........] - ETA: 5s - loss: 0.6462 - accuracy: 0.6615
243/338 [====================>.........] - ETA: 5s - loss: 0.6465 - accuracy: 0.6609
244/338 [====================>.........] - ETA: 5s - loss: 0.6467 - accuracy: 0.6606
245/338 [====================>.........] - ETA: 5s - loss: 0.6469 - accuracy: 0.6602
246/338 [====================>.........] - ETA: 5s - loss: 0.6468 - accuracy: 0.6602
247/338 [====================>.........] - ETA: 5s - loss: 0.6467 - accuracy: 0.6607
248/338 [=====================>........] - ETA: 5s - loss: 0.6469 - accuracy: 0.6604
249/338 [=====================>........] - ETA: 5s - loss: 0.6470 - accuracy: 0.6604
250/338 [=====================>........] - ETA: 5s - loss: 0.6469 - accuracy: 0.6605
251/338 [=====================>........] - ETA: 4s - loss: 0.6468 - accuracy: 0.6610
252/338 [=====================>........] - ETA: 4s - loss: 0.6471 - accuracy: 0.6601
253/338 [=====================>........] - ETA: 4s - loss: 0.6471 - accuracy: 0.6602
254/338 [=====================>........] - ETA: 4s - loss: 0.6472 - accuracy: 0.6601
255/338 [=====================>........] - ETA: 4s - loss: 0.6474 - accuracy: 0.6600
256/338 [=====================>........] - ETA: 4s - loss: 0.6472 - accuracy: 0.6605
257/338 [=====================>........] - ETA: 4s - loss: 0.6471 - accuracy: 0.6605
258/338 [=====================>........] - ETA: 4s - loss: 0.6472 - accuracy: 0.6602
259/338 [=====================>........] - ETA: 4s - loss: 0.6471 - accuracy: 0.6604
260/338 [======================>.......] - ETA: 4s - loss: 0.6469 - accuracy: 0.6607
261/338 [======================>.......] - ETA: 4s - loss: 0.6466 - accuracy: 0.6614
262/338 [======================>.......] - ETA: 4s - loss: 0.6466 - accuracy: 0.6613
263/338 [======================>.......] - ETA: 4s - loss: 0.6466 - accuracy: 0.6615
264/338 [======================>.......] - ETA: 4s - loss: 0.6466 - accuracy: 0.6615
265/338 [======================>.......] - ETA: 4s - loss: 0.6466 - accuracy: 0.6616
266/338 [======================>.......] - ETA: 4s - loss: 0.6468 - accuracy: 0.6612
267/338 [======================>.......] - ETA: 4s - loss: 0.6469 - accuracy: 0.6608
268/338 [======================>.......] - ETA: 3s - loss: 0.6469 - accuracy: 0.6607
269/338 [======================>.......] - ETA: 3s - loss: 0.6466 - accuracy: 0.6611
270/338 [======================>.......] - ETA: 3s - loss: 0.6463 - accuracy: 0.6617
271/338 [=======================>......] - ETA: 3s - loss: 0.6463 - accuracy: 0.6616
272/338 [=======================>......] - ETA: 3s - loss: 0.6465 - accuracy: 0.6612
273/338 [=======================>......] - ETA: 3s - loss: 0.6463 - accuracy: 0.6615
274/338 [=======================>......] - ETA: 3s - loss: 0.6463 - accuracy: 0.6614
275/338 [=======================>......] - ETA: 3s - loss: 0.6463 - accuracy: 0.6615
276/338 [=======================>......] - ETA: 3s - loss: 0.6463 - accuracy: 0.6615
277/338 [=======================>......] - ETA: 3s - loss: 0.6460 - accuracy: 0.6619
278/338 [=======================>......] - ETA: 3s - loss: 0.6459 - accuracy: 0.6621
279/338 [=======================>......] - ETA: 3s - loss: 0.6459 - accuracy: 0.6620
280/338 [=======================>......] - ETA: 3s - loss: 0.6460 - accuracy: 0.6618
281/338 [=======================>......] - ETA: 3s - loss: 0.6456 - accuracy: 0.6625
282/338 [========================>.....] - ETA: 3s - loss: 0.6453 - accuracy: 0.6630
283/338 [========================>.....] - ETA: 3s - loss: 0.6450 - accuracy: 0.6635
284/338 [========================>.....] - ETA: 3s - loss: 0.6450 - accuracy: 0.6636
285/338 [========================>.....] - ETA: 3s - loss: 0.6451 - accuracy: 0.6633
286/338 [========================>.....] - ETA: 2s - loss: 0.6453 - accuracy: 0.6630
287/338 [========================>.....] - ETA: 2s - loss: 0.6453 - accuracy: 0.6630
288/338 [========================>.....] - ETA: 2s - loss: 0.6452 - accuracy: 0.6630
289/338 [========================>.....] - ETA: 2s - loss: 0.6452 - accuracy: 0.6628
290/338 [========================>.....] - ETA: 2s - loss: 0.6455 - accuracy: 0.6625
291/338 [========================>.....] - ETA: 2s - loss: 0.6455 - accuracy: 0.6627
292/338 [========================>.....] - ETA: 2s - loss: 0.6455 - accuracy: 0.6625
293/338 [=========================>....] - ETA: 2s - loss: 0.6455 - accuracy: 0.6624
294/338 [=========================>....] - ETA: 2s - loss: 0.6455 - accuracy: 0.6624
295/338 [=========================>....] - ETA: 2s - loss: 0.6455 - accuracy: 0.6621
296/338 [=========================>....] - ETA: 2s - loss: 0.6456 - accuracy: 0.6621
297/338 [=========================>....] - ETA: 2s - loss: 0.6454 - accuracy: 0.6624
298/338 [=========================>....] - ETA: 2s - loss: 0.6456 - accuracy: 0.6621
299/338 [=========================>....] - ETA: 2s - loss: 0.6454 - accuracy: 0.6624
300/338 [=========================>....] - ETA: 2s - loss: 0.6455 - accuracy: 0.6622
301/338 [=========================>....] - ETA: 2s - loss: 0.6456 - accuracy: 0.6618
302/338 [=========================>....] - ETA: 2s - loss: 0.6456 - accuracy: 0.6617
303/338 [=========================>....] - ETA: 1s - loss: 0.6458 - accuracy: 0.6614
304/338 [=========================>....] - ETA: 1s - loss: 0.6456 - accuracy: 0.6616
305/338 [==========================>...] - ETA: 1s - loss: 0.6455 - accuracy: 0.6618
306/338 [==========================>...] - ETA: 1s - loss: 0.6458 - accuracy: 0.6613
307/338 [==========================>...] - ETA: 1s - loss: 0.6458 - accuracy: 0.6612
308/338 [==========================>...] - ETA: 1s - loss: 0.6458 - accuracy: 0.6613
309/338 [==========================>...] - ETA: 1s - loss: 0.6458 - accuracy: 0.6612
310/338 [==========================>...] - ETA: 1s - loss: 0.6459 - accuracy: 0.6611
311/338 [==========================>...] - ETA: 1s - loss: 0.6459 - accuracy: 0.6608
312/338 [==========================>...] - ETA: 1s - loss: 0.6461 - accuracy: 0.6606
313/338 [==========================>...] - ETA: 1s - loss: 0.6460 - accuracy: 0.6607
314/338 [==========================>...] - ETA: 1s - loss: 0.6461 - accuracy: 0.6606
315/338 [==========================>...] - ETA: 1s - loss: 0.6461 - accuracy: 0.6605
316/338 [===========================>..] - ETA: 1s - loss: 0.6462 - accuracy: 0.6604
317/338 [===========================>..] - ETA: 1s - loss: 0.6460 - accuracy: 0.6608
318/338 [===========================>..] - ETA: 1s - loss: 0.6459 - accuracy: 0.6610
319/338 [===========================>..] - ETA: 1s - loss: 0.6458 - accuracy: 0.6612
320/338 [===========================>..] - ETA: 1s - loss: 0.6458 - accuracy: 0.6611
321/338 [===========================>..] - ETA: 0s - loss: 0.6458 - accuracy: 0.6612
322/338 [===========================>..] - ETA: 0s - loss: 0.6457 - accuracy: 0.6610
323/338 [===========================>..] - ETA: 0s - loss: 0.6455 - accuracy: 0.6616
324/338 [===========================>..] - ETA: 0s - loss: 0.6454 - accuracy: 0.6617
325/338 [===========================>..] - ETA: 0s - loss: 0.6456 - accuracy: 0.6613
326/338 [===========================>..] - ETA: 0s - loss: 0.6456 - accuracy: 0.6614
327/338 [============================>.] - ETA: 0s - loss: 0.6457 - accuracy: 0.6613
328/338 [============================>.] - ETA: 0s - loss: 0.6457 - accuracy: 0.6612
329/338 [============================>.] - ETA: 0s - loss: 0.6457 - accuracy: 0.6612
330/338 [============================>.] - ETA: 0s - loss: 0.6456 - accuracy: 0.6614
331/338 [============================>.] - ETA: 0s - loss: 0.6456 - accuracy: 0.6615
332/338 [============================>.] - ETA: 0s - loss: 0.6456 - accuracy: 0.6615
333/338 [============================>.] - ETA: 0s - loss: 0.6455 - accuracy: 0.6618
334/338 [============================>.] - ETA: 0s - loss: 0.6456 - accuracy: 0.6618
335/338 [============================>.] - ETA: 0s - loss: 0.6456 - accuracy: 0.6616
336/338 [============================>.] - ETA: 0s - loss: 0.6454 - accuracy: 0.6619
337/338 [============================>.] - ETA: 0s - loss: 0.6452 - accuracy: 0.6622
338/338 [==============================] - 21s 62ms/step - loss: 0.6450 - accuracy: 0.6624 - val_loss: 0.7239 - val_accuracy: 0.5268
1/97 [..............................] - ETA: 3s - loss: 0.6385 - accuracy: 0.6562
4/97 [>.............................] - ETA: 1s - loss: 0.6832 - accuracy: 0.5938
7/97 [=>............................] - ETA: 1s - loss: 0.7150 - accuracy: 0.5402
10/97 [==>...........................] - ETA: 1s - loss: 0.7165 - accuracy: 0.5406
13/97 [===>..........................] - ETA: 1s - loss: 0.7252 - accuracy: 0.5240
16/97 [===>..........................] - ETA: 1s - loss: 0.7299 - accuracy: 0.5176
19/97 [====>.........................] - ETA: 1s - loss: 0.7271 - accuracy: 0.5230
22/97 [=====>........................] - ETA: 1s - loss: 0.7313 - accuracy: 0.5142
25/97 [======>.......................] - ETA: 1s - loss: 0.7361 - accuracy: 0.5075
28/97 [=======>......................] - ETA: 1s - loss: 0.7302 - accuracy: 0.5179
31/97 [========>.....................] - ETA: 1s - loss: 0.7338 - accuracy: 0.5111
34/97 [=========>....................] - ETA: 1s - loss: 0.7319 - accuracy: 0.5147
37/97 [==========>...................] - ETA: 1s - loss: 0.7285 - accuracy: 0.5203
40/97 [===========>..................] - ETA: 0s - loss: 0.7294 - accuracy: 0.5188
43/97 [============>.................] - ETA: 0s - loss: 0.7266 - accuracy: 0.5240
46/97 [=============>................] - ETA: 0s - loss: 0.7305 - accuracy: 0.5170
49/97 [==============>...............] - ETA: 0s - loss: 0.7317 - accuracy: 0.5147
52/97 [===============>..............] - ETA: 0s - loss: 0.7279 - accuracy: 0.5216
55/97 [================>.............] - ETA: 0s - loss: 0.7261 - accuracy: 0.5244
58/97 [================>.............] - ETA: 0s - loss: 0.7252 - accuracy: 0.5259
61/97 [=================>............] - ETA: 0s - loss: 0.7277 - accuracy: 0.5215
64/97 [==================>...........] - ETA: 0s - loss: 0.7292 - accuracy: 0.5190
67/97 [===================>..........] - ETA: 0s - loss: 0.7291 - accuracy: 0.5191
70/97 [====================>.........] - ETA: 0s - loss: 0.7284 - accuracy: 0.5201
73/97 [=====================>........] - ETA: 0s - loss: 0.7268 - accuracy: 0.5227
76/97 [======================>.......] - ETA: 0s - loss: 0.7271 - accuracy: 0.5210
79/97 [=======================>......] - ETA: 0s - loss: 0.7259 - accuracy: 0.5233
82/97 [========================>.....] - ETA: 0s - loss: 0.7255 - accuracy: 0.5244
85/97 [=========================>....] - ETA: 0s - loss: 0.7257 - accuracy: 0.5239
88/97 [==========================>...] - ETA: 0s - loss: 0.7260 - accuracy: 0.5234
91/97 [===========================>..] - ETA: 0s - loss: 0.7248 - accuracy: 0.5251
94/97 [============================>.] - ETA: 0s - loss: 0.7251 - accuracy: 0.5246
97/97 [==============================] - 2s 17ms/step - loss: 0.7239 - accuracy: 0.5268
Epoch 1/5
1/338 [..............................] - ETA: 6:22 - loss: 0.7098 - accuracy: 0.6250
3/338 [..............................] - ETA: 10s - loss: 0.7094 - accuracy: 0.5104
5/338 [..............................] - ETA: 10s - loss: 0.7090 - accuracy: 0.4938
7/338 [..............................] - ETA: 10s - loss: 0.7082 - accuracy: 0.5223
9/338 [..............................] - ETA: 10s - loss: 0.7073 - accuracy: 0.5556
11/338 [..............................] - ETA: 10s - loss: 0.7068 - accuracy: 0.5540
13/338 [>.............................] - ETA: 10s - loss: 0.7062 - accuracy: 0.5529
15/338 [>.............................] - ETA: 10s - loss: 0.7057 - accuracy: 0.5500
17/338 [>.............................] - ETA: 10s - loss: 0.7054 - accuracy: 0.5441
19/338 [>.............................] - ETA: 10s - loss: 0.7050 - accuracy: 0.5395
21/338 [>.............................] - ETA: 10s - loss: 0.7048 - accuracy: 0.5342
23/338 [=>............................] - ETA: 10s - loss: 0.7042 - accuracy: 0.5367
25/338 [=>............................] - ETA: 10s - loss: 0.7037 - accuracy: 0.5400
27/338 [=>............................] - ETA: 10s - loss: 0.7032 - accuracy: 0.5428
29/338 [=>............................] - ETA: 10s - loss: 0.7029 - accuracy: 0.5399
31/338 [=>............................] - ETA: 10s - loss: 0.7027 - accuracy: 0.5363
33/338 [=>............................] - ETA: 10s - loss: 0.7025 - accuracy: 0.5341
35/338 [==>...........................] - ETA: 9s - loss: 0.7024 - accuracy: 0.5268
37/338 [==>...........................] - ETA: 9s - loss: 0.7022 - accuracy: 0.5253
39/338 [==>...........................] - ETA: 9s - loss: 0.7018 - accuracy: 0.5280
41/338 [==>...........................] - ETA: 9s - loss: 0.7017 - accuracy: 0.5259
43/338 [==>...........................] - ETA: 9s - loss: 0.7013 - accuracy: 0.5283
45/338 [==>...........................] - ETA: 9s - loss: 0.7010 - accuracy: 0.5299
47/338 [===>..........................] - ETA: 9s - loss: 0.7008 - accuracy: 0.5286
49/338 [===>..........................] - ETA: 9s - loss: 0.7006 - accuracy: 0.5274
51/338 [===>..........................] - ETA: 9s - loss: 0.7005 - accuracy: 0.5270
53/338 [===>..........................] - ETA: 9s - loss: 0.7002 - accuracy: 0.5283
55/338 [===>..........................] - ETA: 9s - loss: 0.7001 - accuracy: 0.5267
57/338 [====>.........................] - ETA: 9s - loss: 0.7000 - accuracy: 0.5263
59/338 [====>.........................] - ETA: 9s - loss: 0.6998 - accuracy: 0.5249
61/338 [====>.........................] - ETA: 9s - loss: 0.6996 - accuracy: 0.5256
63/338 [====>.........................] - ETA: 9s - loss: 0.6995 - accuracy: 0.5253
65/338 [====>.........................] - ETA: 8s - loss: 0.6993 - accuracy: 0.5279
67/338 [====>.........................] - ETA: 8s - loss: 0.6993 - accuracy: 0.5247
69/338 [=====>........................] - ETA: 8s - loss: 0.6991 - accuracy: 0.5245
71/338 [=====>........................] - ETA: 8s - loss: 0.6991 - accuracy: 0.5233
73/338 [=====>........................] - ETA: 8s - loss: 0.6990 - accuracy: 0.5223
75/338 [=====>........................] - ETA: 8s - loss: 0.6989 - accuracy: 0.5208
77/338 [=====>........................] - ETA: 8s - loss: 0.6988 - accuracy: 0.5215
79/338 [======>.......................] - ETA: 8s - loss: 0.6987 - accuracy: 0.5214
81/338 [======>.......................] - ETA: 8s - loss: 0.6985 - accuracy: 0.5235
83/338 [======>.......................] - ETA: 8s - loss: 0.6984 - accuracy: 0.5233
85/338 [======>.......................] - ETA: 8s - loss: 0.6983 - accuracy: 0.5224
87/338 [======>.......................] - ETA: 8s - loss: 0.6983 - accuracy: 0.5201
89/338 [======>.......................] - ETA: 8s - loss: 0.6982 - accuracy: 0.5214
91/338 [=======>......................] - ETA: 8s - loss: 0.6982 - accuracy: 0.5185
93/338 [=======>......................] - ETA: 8s - loss: 0.6981 - accuracy: 0.5195
95/338 [=======>......................] - ETA: 7s - loss: 0.6980 - accuracy: 0.5197
97/338 [=======>......................] - ETA: 7s - loss: 0.6979 - accuracy: 0.5209
99/338 [=======>......................] - ETA: 7s - loss: 0.6979 - accuracy: 0.5193
101/338 [=======>......................] - ETA: 7s - loss: 0.6978 - accuracy: 0.5201
103/338 [========>.....................] - ETA: 7s - loss: 0.6977 - accuracy: 0.5182
105/338 [========>.....................] - ETA: 7s - loss: 0.6977 - accuracy: 0.5182
107/338 [========>.....................] - ETA: 7s - loss: 0.6976 - accuracy: 0.5187
109/338 [========>.....................] - ETA: 7s - loss: 0.6974 - accuracy: 0.5206
111/338 [========>.....................] - ETA: 7s - loss: 0.6973 - accuracy: 0.5211
113/338 [=========>....................] - ETA: 7s - loss: 0.6973 - accuracy: 0.5207
115/338 [=========>....................] - ETA: 7s - loss: 0.6972 - accuracy: 0.5209
117/338 [=========>....................] - ETA: 7s - loss: 0.6972 - accuracy: 0.5206
119/338 [=========>....................] - ETA: 7s - loss: 0.6971 - accuracy: 0.5207
121/338 [=========>....................] - ETA: 7s - loss: 0.6970 - accuracy: 0.5201
123/338 [=========>....................] - ETA: 7s - loss: 0.6969 - accuracy: 0.5213
125/338 [==========>...................] - ETA: 7s - loss: 0.6970 - accuracy: 0.5200
127/338 [==========>...................] - ETA: 6s - loss: 0.6969 - accuracy: 0.5207
129/338 [==========>...................] - ETA: 6s - loss: 0.6967 - accuracy: 0.5228
131/338 [==========>...................] - ETA: 6s - loss: 0.6967 - accuracy: 0.5224
133/338 [==========>...................] - ETA: 6s - loss: 0.6967 - accuracy: 0.5209
135/338 [==========>...................] - ETA: 6s - loss: 0.6967 - accuracy: 0.5194
137/338 [===========>..................] - ETA: 6s - loss: 0.6967 - accuracy: 0.5194
139/338 [===========>..................] - ETA: 6s - loss: 0.6966 - accuracy: 0.5189
141/338 [===========>..................] - ETA: 6s - loss: 0.6966 - accuracy: 0.5182
143/338 [===========>..................] - ETA: 6s - loss: 0.6966 - accuracy: 0.5184
145/338 [===========>..................] - ETA: 6s - loss: 0.6966 - accuracy: 0.5164
147/338 [============>.................] - ETA: 6s - loss: 0.6966 - accuracy: 0.5162
149/338 [============>.................] - ETA: 6s - loss: 0.6965 - accuracy: 0.5157
151/338 [============>.................] - ETA: 6s - loss: 0.6965 - accuracy: 0.5145
153/338 [============>.................] - ETA: 6s - loss: 0.6964 - accuracy: 0.5155
155/338 [============>.................] - ETA: 6s - loss: 0.6964 - accuracy: 0.5157
157/338 [============>.................] - ETA: 5s - loss: 0.6963 - accuracy: 0.5169
159/338 [=============>................] - ETA: 5s - loss: 0.6962 - accuracy: 0.5165
161/338 [=============>................] - ETA: 5s - loss: 0.6962 - accuracy: 0.5161
163/338 [=============>................] - ETA: 5s - loss: 0.6961 - accuracy: 0.5180
165/338 [=============>................] - ETA: 5s - loss: 0.6960 - accuracy: 0.5191
167/338 [=============>................] - ETA: 5s - loss: 0.6960 - accuracy: 0.5193
169/338 [==============>...............] - ETA: 5s - loss: 0.6960 - accuracy: 0.5187
171/338 [==============>...............] - ETA: 5s - loss: 0.6959 - accuracy: 0.5185
173/338 [==============>...............] - ETA: 5s - loss: 0.6959 - accuracy: 0.5190
175/338 [==============>...............] - ETA: 5s - loss: 0.6958 - accuracy: 0.5186
177/338 [==============>...............] - ETA: 5s - loss: 0.6958 - accuracy: 0.5192
179/338 [==============>...............] - ETA: 5s - loss: 0.6957 - accuracy: 0.5196
181/338 [===============>..............] - ETA: 5s - loss: 0.6956 - accuracy: 0.5199
183/338 [===============>..............] - ETA: 5s - loss: 0.6956 - accuracy: 0.5196
185/338 [===============>..............] - ETA: 5s - loss: 0.6955 - accuracy: 0.5204
187/338 [===============>..............] - ETA: 4s - loss: 0.6955 - accuracy: 0.5197
189/338 [===============>..............] - ETA: 4s - loss: 0.6954 - accuracy: 0.5197
191/338 [===============>..............] - ETA: 4s - loss: 0.6953 - accuracy: 0.5206
193/338 [================>.............] - ETA: 4s - loss: 0.6953 - accuracy: 0.5198
195/338 [================>.............] - ETA: 4s - loss: 0.6953 - accuracy: 0.5191
197/338 [================>.............] - ETA: 4s - loss: 0.6953 - accuracy: 0.5190
199/338 [================>.............] - ETA: 4s - loss: 0.6952 - accuracy: 0.5195
201/338 [================>.............] - ETA: 4s - loss: 0.6952 - accuracy: 0.5194
203/338 [=================>............] - ETA: 4s - loss: 0.6952 - accuracy: 0.5186
205/338 [=================>............] - ETA: 4s - loss: 0.6951 - accuracy: 0.5194
207/338 [=================>............] - ETA: 4s - loss: 0.6951 - accuracy: 0.5201
209/338 [=================>............] - ETA: 4s - loss: 0.6950 - accuracy: 0.5206
211/338 [=================>............] - ETA: 4s - loss: 0.6949 - accuracy: 0.5219
213/338 [=================>............] - ETA: 4s - loss: 0.6949 - accuracy: 0.5223
215/338 [==================>...........] - ETA: 4s - loss: 0.6949 - accuracy: 0.5227
217/338 [==================>...........] - ETA: 3s - loss: 0.6948 - accuracy: 0.5229
219/338 [==================>...........] - ETA: 3s - loss: 0.6948 - accuracy: 0.5228
221/338 [==================>...........] - ETA: 3s - loss: 0.6947 - accuracy: 0.5228
223/338 [==================>...........] - ETA: 3s - loss: 0.6947 - accuracy: 0.5223
225/338 [==================>...........] - ETA: 3s - loss: 0.6947 - accuracy: 0.5226
227/338 [===================>..........] - ETA: 3s - loss: 0.6946 - accuracy: 0.5226
229/338 [===================>..........] - ETA: 3s - loss: 0.6946 - accuracy: 0.5227
231/338 [===================>..........] - ETA: 3s - loss: 0.6946 - accuracy: 0.5223
233/338 [===================>..........] - ETA: 3s - loss: 0.6945 - accuracy: 0.5225
235/338 [===================>..........] - ETA: 3s - loss: 0.6945 - accuracy: 0.5225
237/338 [====================>.........] - ETA: 3s - loss: 0.6945 - accuracy: 0.5224
239/338 [====================>.........] - ETA: 3s - loss: 0.6944 - accuracy: 0.5231
241/338 [====================>.........] - ETA: 3s - loss: 0.6944 - accuracy: 0.5235
243/338 [====================>.........] - ETA: 3s - loss: 0.6943 - accuracy: 0.5235
245/338 [====================>.........] - ETA: 3s - loss: 0.6942 - accuracy: 0.5241
247/338 [====================>.........] - ETA: 2s - loss: 0.6943 - accuracy: 0.5234
249/338 [=====================>........] - ETA: 2s - loss: 0.6943 - accuracy: 0.5226
251/338 [=====================>........] - ETA: 2s - loss: 0.6942 - accuracy: 0.5234
253/338 [=====================>........] - ETA: 2s - loss: 0.6942 - accuracy: 0.5235
255/338 [=====================>........] - ETA: 2s - loss: 0.6942 - accuracy: 0.5233
257/338 [=====================>........] - ETA: 2s - loss: 0.6941 - accuracy: 0.5236
259/338 [=====================>........] - ETA: 2s - loss: 0.6941 - accuracy: 0.5238
261/338 [======================>.......] - ETA: 2s - loss: 0.6941 - accuracy: 0.5235
263/338 [======================>.......] - ETA: 2s - loss: 0.6942 - accuracy: 0.5227
265/338 [======================>.......] - ETA: 2s - loss: 0.6941 - accuracy: 0.5230
267/338 [======================>.......] - ETA: 2s - loss: 0.6941 - accuracy: 0.5232
269/338 [======================>.......] - ETA: 2s - loss: 0.6940 - accuracy: 0.5236
271/338 [=======================>......] - ETA: 2s - loss: 0.6940 - accuracy: 0.5232
273/338 [=======================>......] - ETA: 2s - loss: 0.6939 - accuracy: 0.5239
275/338 [=======================>......] - ETA: 2s - loss: 0.6939 - accuracy: 0.5241
277/338 [=======================>......] - ETA: 2s - loss: 0.6938 - accuracy: 0.5240
279/338 [=======================>......] - ETA: 1s - loss: 0.6938 - accuracy: 0.5241
281/338 [=======================>......] - ETA: 1s - loss: 0.6937 - accuracy: 0.5248
283/338 [========================>.....] - ETA: 1s - loss: 0.6937 - accuracy: 0.5252
285/338 [========================>.....] - ETA: 1s - loss: 0.6937 - accuracy: 0.5243
287/338 [========================>.....] - ETA: 1s - loss: 0.6936 - accuracy: 0.5250
289/338 [========================>.....] - ETA: 1s - loss: 0.6937 - accuracy: 0.5245
291/338 [========================>.....] - ETA: 1s - loss: 0.6936 - accuracy: 0.5246
293/338 [=========================>....] - ETA: 1s - loss: 0.6937 - accuracy: 0.5241
295/338 [=========================>....] - ETA: 1s - loss: 0.6936 - accuracy: 0.5238
297/338 [=========================>....] - ETA: 1s - loss: 0.6936 - accuracy: 0.5240
299/338 [=========================>....] - ETA: 1s - loss: 0.6935 - accuracy: 0.5245
301/338 [=========================>....] - ETA: 1s - loss: 0.6935 - accuracy: 0.5247
303/338 [=========================>....] - ETA: 1s - loss: 0.6934 - accuracy: 0.5253
305/338 [==========================>...] - ETA: 1s - loss: 0.6933 - accuracy: 0.5256
307/338 [==========================>...] - ETA: 1s - loss: 0.6933 - accuracy: 0.5255
309/338 [==========================>...] - ETA: 0s - loss: 0.6932 - accuracy: 0.5265
311/338 [==========================>...] - ETA: 0s - loss: 0.6932 - accuracy: 0.5263
313/338 [==========================>...] - ETA: 0s - loss: 0.6932 - accuracy: 0.5264
315/338 [==========================>...] - ETA: 0s - loss: 0.6932 - accuracy: 0.5260
317/338 [===========================>..] - ETA: 0s - loss: 0.6932 - accuracy: 0.5260
319/338 [===========================>..] - ETA: 0s - loss: 0.6932 - accuracy: 0.5260
321/338 [===========================>..] - ETA: 0s - loss: 0.6931 - accuracy: 0.5265
323/338 [===========================>..] - ETA: 0s - loss: 0.6930 - accuracy: 0.5269
325/338 [===========================>..] - ETA: 0s - loss: 0.6930 - accuracy: 0.5270
327/338 [============================>.] - ETA: 0s - loss: 0.6930 - accuracy: 0.5269
329/338 [============================>.] - ETA: 0s - loss: 0.6929 - accuracy: 0.5269
331/338 [============================>.] - ETA: 0s - loss: 0.6929 - accuracy: 0.5266
333/338 [============================>.] - ETA: 0s - loss: 0.6930 - accuracy: 0.5260
335/338 [============================>.] - ETA: 0s - loss: 0.6930 - accuracy: 0.5261
337/338 [============================>.] - ETA: 0s - loss: 0.6929 - accuracy: 0.5266
338/338 [==============================] - 14s 37ms/step - loss: 0.6929 - accuracy: 0.5268 - val_loss: 0.6900 - val_accuracy: 0.5235
Epoch 2/5
1/338 [..............................] - ETA: 11s - loss: 0.6757 - accuracy: 0.6250
3/338 [..............................] - ETA: 10s - loss: 0.6854 - accuracy: 0.5208
5/338 [..............................] - ETA: 10s - loss: 0.6880 - accuracy: 0.5125
7/338 [..............................] - ETA: 10s - loss: 0.6864 - accuracy: 0.5268
9/338 [..............................] - ETA: 10s - loss: 0.6887 - accuracy: 0.5069
11/338 [..............................] - ETA: 10s - loss: 0.6898 - accuracy: 0.5028
13/338 [>.............................] - ETA: 10s - loss: 0.6903 - accuracy: 0.4976
15/338 [>.............................] - ETA: 10s - loss: 0.6904 - accuracy: 0.5000
17/338 [>.............................] - ETA: 10s - loss: 0.6915 - accuracy: 0.4890
19/338 [>.............................] - ETA: 10s - loss: 0.6914 - accuracy: 0.4918
21/338 [>.............................] - ETA: 10s - loss: 0.6899 - accuracy: 0.5045
23/338 [=>............................] - ETA: 10s - loss: 0.6902 - accuracy: 0.5000
25/338 [=>............................] - ETA: 10s - loss: 0.6904 - accuracy: 0.4950
27/338 [=>............................] - ETA: 10s - loss: 0.6903 - accuracy: 0.4931
29/338 [=>............................] - ETA: 10s - loss: 0.6891 - accuracy: 0.5054
31/338 [=>............................] - ETA: 10s - loss: 0.6887 - accuracy: 0.5091
33/338 [=>............................] - ETA: 10s - loss: 0.6884 - accuracy: 0.5123
35/338 [==>...........................] - ETA: 9s - loss: 0.6883 - accuracy: 0.5143
37/338 [==>...........................] - ETA: 9s - loss: 0.6879 - accuracy: 0.5186
39/338 [==>...........................] - ETA: 9s - loss: 0.6876 - accuracy: 0.5224
41/338 [==>...........................] - ETA: 9s - loss: 0.6883 - accuracy: 0.5183
43/338 [==>...........................] - ETA: 9s - loss: 0.6884 - accuracy: 0.5160
45/338 [==>...........................] - ETA: 9s - loss: 0.6885 - accuracy: 0.5153
47/338 [===>..........................] - ETA: 9s - loss: 0.6883 - accuracy: 0.5173
49/338 [===>..........................] - ETA: 9s - loss: 0.6883 - accuracy: 0.5179
51/338 [===>..........................] - ETA: 9s - loss: 0.6884 - accuracy: 0.5153
53/338 [===>..........................] - ETA: 9s - loss: 0.6882 - accuracy: 0.5171
55/338 [===>..........................] - ETA: 9s - loss: 0.6880 - accuracy: 0.5176
57/338 [====>.........................] - ETA: 9s - loss: 0.6879 - accuracy: 0.5175
59/338 [====>.........................] - ETA: 9s - loss: 0.6882 - accuracy: 0.5164
61/338 [====>.........................] - ETA: 9s - loss: 0.6880 - accuracy: 0.5164
63/338 [====>.........................] - ETA: 9s - loss: 0.6878 - accuracy: 0.5174
65/338 [====>.........................] - ETA: 9s - loss: 0.6875 - accuracy: 0.5197
67/338 [====>.........................] - ETA: 8s - loss: 0.6872 - accuracy: 0.5233
69/338 [=====>........................] - ETA: 8s - loss: 0.6873 - accuracy: 0.5231
71/338 [=====>........................] - ETA: 8s - loss: 0.6876 - accuracy: 0.5216
73/338 [=====>........................] - ETA: 8s - loss: 0.6877 - accuracy: 0.5197
75/338 [=====>........................] - ETA: 8s - loss: 0.6872 - accuracy: 0.5221
77/338 [=====>........................] - ETA: 8s - loss: 0.6873 - accuracy: 0.5203
79/338 [======>.......................] - ETA: 8s - loss: 0.6877 - accuracy: 0.5178
81/338 [======>.......................] - ETA: 8s - loss: 0.6873 - accuracy: 0.5204
83/338 [======>.......................] - ETA: 8s - loss: 0.6870 - accuracy: 0.5215
85/338 [======>.......................] - ETA: 8s - loss: 0.6868 - accuracy: 0.5232
87/338 [======>.......................] - ETA: 8s - loss: 0.6867 - accuracy: 0.5237
89/338 [======>.......................] - ETA: 8s - loss: 0.6864 - accuracy: 0.5253
91/338 [=======>......................] - ETA: 8s - loss: 0.6864 - accuracy: 0.5251
93/338 [=======>......................] - ETA: 8s - loss: 0.6867 - accuracy: 0.5225
95/338 [=======>......................] - ETA: 7s - loss: 0.6865 - accuracy: 0.5234
97/338 [=======>......................] - ETA: 7s - loss: 0.6864 - accuracy: 0.5235
99/338 [=======>......................] - ETA: 7s - loss: 0.6864 - accuracy: 0.5234
101/338 [=======>......................] - ETA: 7s - loss: 0.6863 - accuracy: 0.5238
103/338 [========>.....................] - ETA: 7s - loss: 0.6863 - accuracy: 0.5237
105/338 [========>.....................] - ETA: 7s - loss: 0.6864 - accuracy: 0.5229
107/338 [========>.....................] - ETA: 7s - loss: 0.6863 - accuracy: 0.5228
109/338 [========>.....................] - ETA: 7s - loss: 0.6865 - accuracy: 0.5209
111/338 [========>.....................] - ETA: 7s - loss: 0.6864 - accuracy: 0.5222
113/338 [=========>....................] - ETA: 7s - loss: 0.6863 - accuracy: 0.5232
115/338 [=========>....................] - ETA: 7s - loss: 0.6862 - accuracy: 0.5239
117/338 [=========>....................] - ETA: 7s - loss: 0.6863 - accuracy: 0.5243
119/338 [=========>....................] - ETA: 7s - loss: 0.6863 - accuracy: 0.5228
121/338 [=========>....................] - ETA: 7s - loss: 0.6862 - accuracy: 0.5243
123/338 [=========>....................] - ETA: 7s - loss: 0.6863 - accuracy: 0.5252
125/338 [==========>...................] - ETA: 7s - loss: 0.6862 - accuracy: 0.5263
127/338 [==========>...................] - ETA: 6s - loss: 0.6861 - accuracy: 0.5268
129/338 [==========>...................] - ETA: 6s - loss: 0.6861 - accuracy: 0.5266
131/338 [==========>...................] - ETA: 6s - loss: 0.6859 - accuracy: 0.5279
133/338 [==========>...................] - ETA: 6s - loss: 0.6860 - accuracy: 0.5273
135/338 [==========>...................] - ETA: 6s - loss: 0.6862 - accuracy: 0.5264
137/338 [===========>..................] - ETA: 6s - loss: 0.6863 - accuracy: 0.5262
139/338 [===========>..................] - ETA: 6s - loss: 0.6863 - accuracy: 0.5263
141/338 [===========>..................] - ETA: 6s - loss: 0.6863 - accuracy: 0.5257
143/338 [===========>..................] - ETA: 6s - loss: 0.6862 - accuracy: 0.5267
145/338 [===========>..................] - ETA: 6s - loss: 0.6863 - accuracy: 0.5259
147/338 [============>.................] - ETA: 6s - loss: 0.6860 - accuracy: 0.5274
149/338 [============>.................] - ETA: 6s - loss: 0.6860 - accuracy: 0.5277
151/338 [============>.................] - ETA: 6s - loss: 0.6860 - accuracy: 0.5271
153/338 [============>.................] - ETA: 6s - loss: 0.6857 - accuracy: 0.5294
155/338 [============>.................] - ETA: 6s - loss: 0.6856 - accuracy: 0.5302
157/338 [============>.................] - ETA: 5s - loss: 0.6856 - accuracy: 0.5297
159/338 [=============>................] - ETA: 5s - loss: 0.6855 - accuracy: 0.5293
161/338 [=============>................] - ETA: 5s - loss: 0.6854 - accuracy: 0.5303
163/338 [=============>................] - ETA: 5s - loss: 0.6853 - accuracy: 0.5309
165/338 [=============>................] - ETA: 5s - loss: 0.6855 - accuracy: 0.5294
167/338 [=============>................] - ETA: 5s - loss: 0.6856 - accuracy: 0.5283
169/338 [==============>...............] - ETA: 5s - loss: 0.6856 - accuracy: 0.5283
171/338 [==============>...............] - ETA: 5s - loss: 0.6857 - accuracy: 0.5272
173/338 [==============>...............] - ETA: 5s - loss: 0.6858 - accuracy: 0.5267
175/338 [==============>...............] - ETA: 5s - loss: 0.6859 - accuracy: 0.5254
177/338 [==============>...............] - ETA: 5s - loss: 0.6859 - accuracy: 0.5254
179/338 [==============>...............] - ETA: 5s - loss: 0.6859 - accuracy: 0.5253
181/338 [===============>..............] - ETA: 5s - loss: 0.6858 - accuracy: 0.5242
183/338 [===============>..............] - ETA: 5s - loss: 0.6859 - accuracy: 0.5241
185/338 [===============>..............] - ETA: 5s - loss: 0.6859 - accuracy: 0.5250
187/338 [===============>..............] - ETA: 4s - loss: 0.6858 - accuracy: 0.5256
189/338 [===============>..............] - ETA: 4s - loss: 0.6859 - accuracy: 0.5261
191/338 [===============>..............] - ETA: 4s - loss: 0.6858 - accuracy: 0.5278
193/338 [================>.............] - ETA: 4s - loss: 0.6859 - accuracy: 0.5282
195/338 [================>.............] - ETA: 4s - loss: 0.6859 - accuracy: 0.5287
197/338 [================>.............] - ETA: 4s - loss: 0.6858 - accuracy: 0.5305
199/338 [================>.............] - ETA: 4s - loss: 0.6855 - accuracy: 0.5322
201/338 [================>.............] - ETA: 4s - loss: 0.6855 - accuracy: 0.5333
203/338 [=================>............] - ETA: 4s - loss: 0.6855 - accuracy: 0.5342
205/338 [=================>............] - ETA: 4s - loss: 0.6856 - accuracy: 0.5341
207/338 [=================>............] - ETA: 4s - loss: 0.6856 - accuracy: 0.5344
209/338 [=================>............] - ETA: 4s - loss: 0.6856 - accuracy: 0.5351
211/338 [=================>............] - ETA: 4s - loss: 0.6854 - accuracy: 0.5363
213/338 [=================>............] - ETA: 4s - loss: 0.6855 - accuracy: 0.5364
215/338 [==================>...........] - ETA: 4s - loss: 0.6853 - accuracy: 0.5382
217/338 [==================>...........] - ETA: 3s - loss: 0.6854 - accuracy: 0.5380
219/338 [==================>...........] - ETA: 3s - loss: 0.6854 - accuracy: 0.5385
221/338 [==================>...........] - ETA: 3s - loss: 0.6854 - accuracy: 0.5390
223/338 [==================>...........] - ETA: 3s - loss: 0.6854 - accuracy: 0.5399
225/338 [==================>...........] - ETA: 3s - loss: 0.6853 - accuracy: 0.5411
227/338 [===================>..........] - ETA: 3s - loss: 0.6853 - accuracy: 0.5417
229/338 [===================>..........] - ETA: 3s - loss: 0.6853 - accuracy: 0.5419
231/338 [===================>..........] - ETA: 3s - loss: 0.6852 - accuracy: 0.5430
233/338 [===================>..........] - ETA: 3s - loss: 0.6853 - accuracy: 0.5435
235/338 [===================>..........] - ETA: 3s - loss: 0.6852 - accuracy: 0.5445
237/338 [====================>.........] - ETA: 3s - loss: 0.6851 - accuracy: 0.5452
239/338 [====================>.........] - ETA: 3s - loss: 0.6850 - accuracy: 0.5467
241/338 [====================>.........] - ETA: 3s - loss: 0.6849 - accuracy: 0.5478
243/338 [====================>.........] - ETA: 3s - loss: 0.6850 - accuracy: 0.5476
245/338 [====================>.........] - ETA: 3s - loss: 0.6849 - accuracy: 0.5487
247/338 [====================>.........] - ETA: 2s - loss: 0.6848 - accuracy: 0.5505
249/338 [=====================>........] - ETA: 2s - loss: 0.6847 - accuracy: 0.5515
251/338 [=====================>........] - ETA: 2s - loss: 0.6847 - accuracy: 0.5513
253/338 [=====================>........] - ETA: 2s - loss: 0.6846 - accuracy: 0.5519
255/338 [=====================>........] - ETA: 2s - loss: 0.6846 - accuracy: 0.5520
257/338 [=====================>........] - ETA: 2s - loss: 0.6845 - accuracy: 0.5525
259/338 [=====================>........] - ETA: 2s - loss: 0.6844 - accuracy: 0.5530
261/338 [======================>.......] - ETA: 2s - loss: 0.6843 - accuracy: 0.5538
263/338 [======================>.......] - ETA: 2s - loss: 0.6844 - accuracy: 0.5537
265/338 [======================>.......] - ETA: 2s - loss: 0.6843 - accuracy: 0.5546
267/338 [======================>.......] - ETA: 2s - loss: 0.6842 - accuracy: 0.5551
269/338 [======================>.......] - ETA: 2s - loss: 0.6841 - accuracy: 0.5563
271/338 [=======================>......] - ETA: 2s - loss: 0.6840 - accuracy: 0.5568
273/338 [=======================>......] - ETA: 2s - loss: 0.6840 - accuracy: 0.5570
275/338 [=======================>......] - ETA: 2s - loss: 0.6839 - accuracy: 0.5578
277/338 [=======================>......] - ETA: 1s - loss: 0.6840 - accuracy: 0.5578
279/338 [=======================>......] - ETA: 1s - loss: 0.6840 - accuracy: 0.5581
281/338 [=======================>......] - ETA: 1s - loss: 0.6841 - accuracy: 0.5582
283/338 [========================>.....] - ETA: 1s - loss: 0.6841 - accuracy: 0.5584
285/338 [========================>.....] - ETA: 1s - loss: 0.6840 - accuracy: 0.5591
287/338 [========================>.....] - ETA: 1s - loss: 0.6838 - accuracy: 0.5600
289/338 [========================>.....] - ETA: 1s - loss: 0.6837 - accuracy: 0.5607
291/338 [========================>.....] - ETA: 1s - loss: 0.6836 - accuracy: 0.5616
293/338 [=========================>....] - ETA: 1s - loss: 0.6836 - accuracy: 0.5621
295/338 [=========================>....] - ETA: 1s - loss: 0.6837 - accuracy: 0.5618
297/338 [=========================>....] - ETA: 1s - loss: 0.6837 - accuracy: 0.5619
299/338 [=========================>....] - ETA: 1s - loss: 0.6836 - accuracy: 0.5628
301/338 [=========================>....] - ETA: 1s - loss: 0.6835 - accuracy: 0.5635
303/338 [=========================>....] - ETA: 1s - loss: 0.6836 - accuracy: 0.5632
305/338 [==========================>...] - ETA: 1s - loss: 0.6835 - accuracy: 0.5633
307/338 [==========================>...] - ETA: 1s - loss: 0.6835 - accuracy: 0.5636
309/338 [==========================>...] - ETA: 0s - loss: 0.6833 - accuracy: 0.5646
311/338 [==========================>...] - ETA: 0s - loss: 0.6832 - accuracy: 0.5655
313/338 [==========================>...] - ETA: 0s - loss: 0.6832 - accuracy: 0.5655
315/338 [==========================>...] - ETA: 0s - loss: 0.6831 - accuracy: 0.5662
317/338 [===========================>..] - ETA: 0s - loss: 0.6831 - accuracy: 0.5667
319/338 [===========================>..] - ETA: 0s - loss: 0.6832 - accuracy: 0.5669
321/338 [===========================>..] - ETA: 0s - loss: 0.6833 - accuracy: 0.5666
323/338 [===========================>..] - ETA: 0s - loss: 0.6833 - accuracy: 0.5668
325/338 [===========================>..] - ETA: 0s - loss: 0.6832 - accuracy: 0.5673
327/338 [============================>.] - ETA: 0s - loss: 0.6832 - accuracy: 0.5679
329/338 [============================>.] - ETA: 0s - loss: 0.6832 - accuracy: 0.5685
331/338 [============================>.] - ETA: 0s - loss: 0.6832 - accuracy: 0.5682
333/338 [============================>.] - ETA: 0s - loss: 0.6832 - accuracy: 0.5687
335/338 [============================>.] - ETA: 0s - loss: 0.6832 - accuracy: 0.5688
337/338 [============================>.] - ETA: 0s - loss: 0.6832 - accuracy: 0.5691
338/338 [==============================] - 12s 35ms/step - loss: 0.6832 - accuracy: 0.5691 - val_loss: 0.6829 - val_accuracy: 0.5946
Epoch 3/5
1/338 [..............................] - ETA: 10s - loss: 0.6924 - accuracy: 0.4688
3/338 [..............................] - ETA: 10s - loss: 0.6903 - accuracy: 0.5208
5/338 [..............................] - ETA: 10s - loss: 0.6860 - accuracy: 0.5437
7/338 [..............................] - ETA: 10s - loss: 0.6810 - accuracy: 0.5938
9/338 [..............................] - ETA: 10s - loss: 0.6844 - accuracy: 0.5694
11/338 [..............................] - ETA: 10s - loss: 0.6849 - accuracy: 0.5767
13/338 [>.............................] - ETA: 10s - loss: 0.6834 - accuracy: 0.5913
15/338 [>.............................] - ETA: 10s - loss: 0.6817 - accuracy: 0.6062
17/338 [>.............................] - ETA: 10s - loss: 0.6827 - accuracy: 0.6048
19/338 [>.............................] - ETA: 10s - loss: 0.6815 - accuracy: 0.6053
21/338 [>.............................] - ETA: 10s - loss: 0.6788 - accuracy: 0.6176
23/338 [=>............................] - ETA: 10s - loss: 0.6798 - accuracy: 0.6114
25/338 [=>............................] - ETA: 10s - loss: 0.6794 - accuracy: 0.6100
27/338 [=>............................] - ETA: 10s - loss: 0.6791 - accuracy: 0.6123
29/338 [=>............................] - ETA: 10s - loss: 0.6799 - accuracy: 0.6045
31/338 [=>............................] - ETA: 10s - loss: 0.6805 - accuracy: 0.6018
33/338 [=>............................] - ETA: 10s - loss: 0.6795 - accuracy: 0.6089
35/338 [==>...........................] - ETA: 10s - loss: 0.6789 - accuracy: 0.6125
37/338 [==>...........................] - ETA: 9s - loss: 0.6787 - accuracy: 0.6123
39/338 [==>...........................] - ETA: 9s - loss: 0.6792 - accuracy: 0.6106
41/338 [==>...........................] - ETA: 9s - loss: 0.6793 - accuracy: 0.6098
43/338 [==>...........................] - ETA: 9s - loss: 0.6798 - accuracy: 0.6083
45/338 [==>...........................] - ETA: 9s - loss: 0.6801 - accuracy: 0.6062
47/338 [===>..........................] - ETA: 9s - loss: 0.6805 - accuracy: 0.6037
49/338 [===>..........................] - ETA: 9s - loss: 0.6806 - accuracy: 0.6059
51/338 [===>..........................] - ETA: 9s - loss: 0.6804 - accuracy: 0.6078
53/338 [===>..........................] - ETA: 9s - loss: 0.6806 - accuracy: 0.6073
55/338 [===>..........................] - ETA: 9s - loss: 0.6805 - accuracy: 0.6080
57/338 [====>.........................] - ETA: 9s - loss: 0.6805 - accuracy: 0.6091
59/338 [====>.........................] - ETA: 9s - loss: 0.6806 - accuracy: 0.6086
61/338 [====>.........................] - ETA: 9s - loss: 0.6802 - accuracy: 0.6117
63/338 [====>.........................] - ETA: 9s - loss: 0.6803 - accuracy: 0.6111
65/338 [====>.........................] - ETA: 9s - loss: 0.6802 - accuracy: 0.6130
67/338 [====>.........................] - ETA: 8s - loss: 0.6807 - accuracy: 0.6082
69/338 [=====>........................] - ETA: 8s - loss: 0.6812 - accuracy: 0.6051
71/338 [=====>........................] - ETA: 8s - loss: 0.6813 - accuracy: 0.6056
73/338 [=====>........................] - ETA: 8s - loss: 0.6812 - accuracy: 0.6062
75/338 [=====>........................] - ETA: 8s - loss: 0.6816 - accuracy: 0.6042
77/338 [=====>........................] - ETA: 8s - loss: 0.6810 - accuracy: 0.6063
79/338 [======>.......................] - ETA: 8s - loss: 0.6807 - accuracy: 0.6068
81/338 [======>.......................] - ETA: 8s - loss: 0.6805 - accuracy: 0.6076
83/338 [======>.......................] - ETA: 8s - loss: 0.6800 - accuracy: 0.6111
85/338 [======>.......................] - ETA: 8s - loss: 0.6800 - accuracy: 0.6107
87/338 [======>.......................] - ETA: 8s - loss: 0.6796 - accuracy: 0.6128
89/338 [======>.......................] - ETA: 8s - loss: 0.6796 - accuracy: 0.6134
91/338 [=======>......................] - ETA: 8s - loss: 0.6791 - accuracy: 0.6161
93/338 [=======>......................] - ETA: 8s - loss: 0.6790 - accuracy: 0.6159
95/338 [=======>......................] - ETA: 7s - loss: 0.6790 - accuracy: 0.6164
97/338 [=======>......................] - ETA: 7s - loss: 0.6782 - accuracy: 0.6189
99/338 [=======>......................] - ETA: 7s - loss: 0.6783 - accuracy: 0.6196
101/338 [=======>......................] - ETA: 7s - loss: 0.6779 - accuracy: 0.6213
103/338 [========>.....................] - ETA: 7s - loss: 0.6777 - accuracy: 0.6220
105/338 [========>.....................] - ETA: 7s - loss: 0.6780 - accuracy: 0.6202
107/338 [========>.....................] - ETA: 7s - loss: 0.6781 - accuracy: 0.6197
109/338 [========>.....................] - ETA: 7s - loss: 0.6779 - accuracy: 0.6201
111/338 [========>.....................] - ETA: 7s - loss: 0.6780 - accuracy: 0.6188
113/338 [=========>....................] - ETA: 7s - loss: 0.6781 - accuracy: 0.6184
115/338 [=========>....................] - ETA: 7s - loss: 0.6777 - accuracy: 0.6198
117/338 [=========>....................] - ETA: 7s - loss: 0.6776 - accuracy: 0.6205
119/338 [=========>....................] - ETA: 7s - loss: 0.6775 - accuracy: 0.6203
121/338 [=========>....................] - ETA: 7s - loss: 0.6770 - accuracy: 0.6216
123/338 [=========>....................] - ETA: 7s - loss: 0.6769 - accuracy: 0.6222
125/338 [==========>...................] - ETA: 7s - loss: 0.6769 - accuracy: 0.6223
127/338 [==========>...................] - ETA: 6s - loss: 0.6766 - accuracy: 0.6233
129/338 [==========>...................] - ETA: 6s - loss: 0.6767 - accuracy: 0.6228
131/338 [==========>...................] - ETA: 6s - loss: 0.6765 - accuracy: 0.6233
133/338 [==========>...................] - ETA: 6s - loss: 0.6765 - accuracy: 0.6231
135/338 [==========>...................] - ETA: 6s - loss: 0.6763 - accuracy: 0.6241
137/338 [===========>..................] - ETA: 6s - loss: 0.6762 - accuracy: 0.6255
139/338 [===========>..................] - ETA: 6s - loss: 0.6762 - accuracy: 0.6250
141/338 [===========>..................] - ETA: 6s - loss: 0.6762 - accuracy: 0.6246
143/338 [===========>..................] - ETA: 6s - loss: 0.6760 - accuracy: 0.6257
145/338 [===========>..................] - ETA: 6s - loss: 0.6760 - accuracy: 0.6261
147/338 [============>.................] - ETA: 6s - loss: 0.6759 - accuracy: 0.6261
149/338 [============>.................] - ETA: 6s - loss: 0.6758 - accuracy: 0.6269
151/338 [============>.................] - ETA: 6s - loss: 0.6760 - accuracy: 0.6252
153/338 [============>.................] - ETA: 6s - loss: 0.6758 - accuracy: 0.6256
155/338 [============>.................] - ETA: 6s - loss: 0.6755 - accuracy: 0.6264
157/338 [============>.................] - ETA: 5s - loss: 0.6753 - accuracy: 0.6272
159/338 [=============>................] - ETA: 5s - loss: 0.6753 - accuracy: 0.6266
161/338 [=============>................] - ETA: 5s - loss: 0.6753 - accuracy: 0.6264
163/338 [=============>................] - ETA: 5s - loss: 0.6755 - accuracy: 0.6254
165/338 [=============>................] - ETA: 5s - loss: 0.6756 - accuracy: 0.6246
167/338 [=============>................] - ETA: 5s - loss: 0.6753 - accuracy: 0.6259
169/338 [==============>...............] - ETA: 5s - loss: 0.6752 - accuracy: 0.6261
171/338 [==============>...............] - ETA: 5s - loss: 0.6751 - accuracy: 0.6268
173/338 [==============>...............] - ETA: 5s - loss: 0.6749 - accuracy: 0.6277
175/338 [==============>...............] - ETA: 5s - loss: 0.6752 - accuracy: 0.6266
177/338 [==============>...............] - ETA: 5s - loss: 0.6751 - accuracy: 0.6271
179/338 [==============>...............] - ETA: 5s - loss: 0.6751 - accuracy: 0.6269
181/338 [===============>..............] - ETA: 5s - loss: 0.6749 - accuracy: 0.6271
183/338 [===============>..............] - ETA: 5s - loss: 0.6747 - accuracy: 0.6284
185/338 [===============>..............] - ETA: 5s - loss: 0.6745 - accuracy: 0.6291
187/338 [===============>..............] - ETA: 4s - loss: 0.6742 - accuracy: 0.6293
189/338 [===============>..............] - ETA: 4s - loss: 0.6741 - accuracy: 0.6295
191/338 [===============>..............] - ETA: 4s - loss: 0.6740 - accuracy: 0.6302
193/338 [================>.............] - ETA: 4s - loss: 0.6739 - accuracy: 0.6305
195/338 [================>.............] - ETA: 4s - loss: 0.6737 - accuracy: 0.6309
197/338 [================>.............] - ETA: 4s - loss: 0.6737 - accuracy: 0.6306
199/338 [================>.............] - ETA: 4s - loss: 0.6734 - accuracy: 0.6313
201/338 [================>.............] - ETA: 4s - loss: 0.6736 - accuracy: 0.6300
203/338 [=================>............] - ETA: 4s - loss: 0.6736 - accuracy: 0.6302
205/338 [=================>............] - ETA: 4s - loss: 0.6736 - accuracy: 0.6299
207/338 [=================>............] - ETA: 4s - loss: 0.6737 - accuracy: 0.6294
209/338 [=================>............] - ETA: 4s - loss: 0.6736 - accuracy: 0.6296
211/338 [=================>............] - ETA: 4s - loss: 0.6736 - accuracy: 0.6294
213/338 [=================>............] - ETA: 4s - loss: 0.6736 - accuracy: 0.6291
215/338 [==================>...........] - ETA: 4s - loss: 0.6736 - accuracy: 0.6286
217/338 [==================>...........] - ETA: 3s - loss: 0.6733 - accuracy: 0.6292
219/338 [==================>...........] - ETA: 3s - loss: 0.6732 - accuracy: 0.6296
221/338 [==================>...........] - ETA: 3s - loss: 0.6731 - accuracy: 0.6295
223/338 [==================>...........] - ETA: 3s - loss: 0.6731 - accuracy: 0.6295
225/338 [==================>...........] - ETA: 3s - loss: 0.6728 - accuracy: 0.6303
227/338 [===================>..........] - ETA: 3s - loss: 0.6730 - accuracy: 0.6300
229/338 [===================>..........] - ETA: 3s - loss: 0.6729 - accuracy: 0.6303
231/338 [===================>..........] - ETA: 3s - loss: 0.6729 - accuracy: 0.6301
233/338 [===================>..........] - ETA: 3s - loss: 0.6728 - accuracy: 0.6305
235/338 [===================>..........] - ETA: 3s - loss: 0.6726 - accuracy: 0.6311
237/338 [====================>.........] - ETA: 3s - loss: 0.6727 - accuracy: 0.6307
239/338 [====================>.........] - ETA: 3s - loss: 0.6729 - accuracy: 0.6298
241/338 [====================>.........] - ETA: 3s - loss: 0.6730 - accuracy: 0.6294
243/338 [====================>.........] - ETA: 3s - loss: 0.6730 - accuracy: 0.6296
245/338 [====================>.........] - ETA: 3s - loss: 0.6730 - accuracy: 0.6295
247/338 [====================>.........] - ETA: 2s - loss: 0.6729 - accuracy: 0.6299
249/338 [=====================>........] - ETA: 2s - loss: 0.6727 - accuracy: 0.6305
251/338 [=====================>........] - ETA: 2s - loss: 0.6725 - accuracy: 0.6311
253/338 [=====================>........] - ETA: 2s - loss: 0.6722 - accuracy: 0.6319
255/338 [=====================>........] - ETA: 2s - loss: 0.6723 - accuracy: 0.6316
257/338 [=====================>........] - ETA: 2s - loss: 0.6723 - accuracy: 0.6313
259/338 [=====================>........] - ETA: 2s - loss: 0.6722 - accuracy: 0.6319
261/338 [======================>.......] - ETA: 2s - loss: 0.6720 - accuracy: 0.6322
263/338 [======================>.......] - ETA: 2s - loss: 0.6722 - accuracy: 0.6315
265/338 [======================>.......] - ETA: 2s - loss: 0.6723 - accuracy: 0.6310
267/338 [======================>.......] - ETA: 2s - loss: 0.6724 - accuracy: 0.6305
269/338 [======================>.......] - ETA: 2s - loss: 0.6724 - accuracy: 0.6303
271/338 [=======================>......] - ETA: 2s - loss: 0.6724 - accuracy: 0.6304
273/338 [=======================>......] - ETA: 2s - loss: 0.6727 - accuracy: 0.6293
275/338 [=======================>......] - ETA: 2s - loss: 0.6726 - accuracy: 0.6293
277/338 [=======================>......] - ETA: 2s - loss: 0.6725 - accuracy: 0.6295
279/338 [=======================>......] - ETA: 1s - loss: 0.6726 - accuracy: 0.6293
281/338 [=======================>......] - ETA: 1s - loss: 0.6725 - accuracy: 0.6294
283/338 [========================>.....] - ETA: 1s - loss: 0.6724 - accuracy: 0.6296
285/338 [========================>.....] - ETA: 1s - loss: 0.6725 - accuracy: 0.6294
287/338 [========================>.....] - ETA: 1s - loss: 0.6726 - accuracy: 0.6292
289/338 [========================>.....] - ETA: 1s - loss: 0.6725 - accuracy: 0.6295
291/338 [========================>.....] - ETA: 1s - loss: 0.6724 - accuracy: 0.6298
293/338 [=========================>....] - ETA: 1s - loss: 0.6723 - accuracy: 0.6299
295/338 [=========================>....] - ETA: 1s - loss: 0.6722 - accuracy: 0.6302
297/338 [=========================>....] - ETA: 1s - loss: 0.6720 - accuracy: 0.6305
299/338 [=========================>....] - ETA: 1s - loss: 0.6720 - accuracy: 0.6304
301/338 [=========================>....] - ETA: 1s - loss: 0.6720 - accuracy: 0.6304
303/338 [=========================>....] - ETA: 1s - loss: 0.6720 - accuracy: 0.6302
305/338 [==========================>...] - ETA: 1s - loss: 0.6720 - accuracy: 0.6304
307/338 [==========================>...] - ETA: 1s - loss: 0.6720 - accuracy: 0.6303
309/338 [==========================>...] - ETA: 0s - loss: 0.6721 - accuracy: 0.6300
311/338 [==========================>...] - ETA: 0s - loss: 0.6719 - accuracy: 0.6303
313/338 [==========================>...] - ETA: 0s - loss: 0.6718 - accuracy: 0.6306
315/338 [==========================>...] - ETA: 0s - loss: 0.6718 - accuracy: 0.6306
317/338 [===========================>..] - ETA: 0s - loss: 0.6718 - accuracy: 0.6302
319/338 [===========================>..] - ETA: 0s - loss: 0.6720 - accuracy: 0.6295
321/338 [===========================>..] - ETA: 0s - loss: 0.6718 - accuracy: 0.6299
323/338 [===========================>..] - ETA: 0s - loss: 0.6719 - accuracy: 0.6297
325/338 [===========================>..] - ETA: 0s - loss: 0.6717 - accuracy: 0.6303
327/338 [============================>.] - ETA: 0s - loss: 0.6718 - accuracy: 0.6299
329/338 [============================>.] - ETA: 0s - loss: 0.6717 - accuracy: 0.6300
331/338 [============================>.] - ETA: 0s - loss: 0.6719 - accuracy: 0.6295
333/338 [============================>.] - ETA: 0s - loss: 0.6719 - accuracy: 0.6293
335/338 [============================>.] - ETA: 0s - loss: 0.6719 - accuracy: 0.6294
337/338 [============================>.] - ETA: 0s - loss: 0.6719 - accuracy: 0.6294
338/338 [==============================] - 12s 35ms/step - loss: 0.6719 - accuracy: 0.6293 - val_loss: 0.6714 - val_accuracy: 0.6228
Epoch 4/5
1/338 [..............................] - ETA: 10s - loss: 0.6296 - accuracy: 0.7500
3/338 [..............................] - ETA: 10s - loss: 0.6615 - accuracy: 0.6354
5/338 [..............................] - ETA: 10s - loss: 0.6674 - accuracy: 0.6250
7/338 [..............................] - ETA: 10s - loss: 0.6609 - accuracy: 0.6384
9/338 [..............................] - ETA: 10s - loss: 0.6617 - accuracy: 0.6354
11/338 [..............................] - ETA: 10s - loss: 0.6622 - accuracy: 0.6392
13/338 [>.............................] - ETA: 10s - loss: 0.6608 - accuracy: 0.6442
15/338 [>.............................] - ETA: 10s - loss: 0.6609 - accuracy: 0.6458
17/338 [>.............................] - ETA: 10s - loss: 0.6622 - accuracy: 0.6434
19/338 [>.............................] - ETA: 10s - loss: 0.6617 - accuracy: 0.6464
21/338 [>.............................] - ETA: 10s - loss: 0.6591 - accuracy: 0.6548
23/338 [=>............................] - ETA: 10s - loss: 0.6576 - accuracy: 0.6590
25/338 [=>............................] - ETA: 10s - loss: 0.6607 - accuracy: 0.6463
27/338 [=>............................] - ETA: 10s - loss: 0.6596 - accuracy: 0.6516
29/338 [=>............................] - ETA: 10s - loss: 0.6596 - accuracy: 0.6498
31/338 [=>............................] - ETA: 10s - loss: 0.6622 - accuracy: 0.6421
33/338 [=>............................] - ETA: 9s - loss: 0.6615 - accuracy: 0.6449
35/338 [==>...........................] - ETA: 9s - loss: 0.6605 - accuracy: 0.6473
37/338 [==>...........................] - ETA: 9s - loss: 0.6606 - accuracy: 0.6478
39/338 [==>...........................] - ETA: 9s - loss: 0.6602 - accuracy: 0.6490
41/338 [==>...........................] - ETA: 9s - loss: 0.6614 - accuracy: 0.6441
43/338 [==>...........................] - ETA: 9s - loss: 0.6612 - accuracy: 0.6446
45/338 [==>...........................] - ETA: 9s - loss: 0.6599 - accuracy: 0.6479
47/338 [===>..........................] - ETA: 9s - loss: 0.6602 - accuracy: 0.6476
49/338 [===>..........................] - ETA: 9s - loss: 0.6590 - accuracy: 0.6518
51/338 [===>..........................] - ETA: 9s - loss: 0.6582 - accuracy: 0.6532
53/338 [===>..........................] - ETA: 9s - loss: 0.6612 - accuracy: 0.6450
55/338 [===>..........................] - ETA: 9s - loss: 0.6617 - accuracy: 0.6443
57/338 [====>.........................] - ETA: 9s - loss: 0.6632 - accuracy: 0.6404
59/338 [====>.........................] - ETA: 9s - loss: 0.6636 - accuracy: 0.6393
61/338 [====>.........................] - ETA: 9s - loss: 0.6632 - accuracy: 0.6399
63/338 [====>.........................] - ETA: 8s - loss: 0.6643 - accuracy: 0.6364
65/338 [====>.........................] - ETA: 8s - loss: 0.6662 - accuracy: 0.6313
67/338 [====>.........................] - ETA: 8s - loss: 0.6657 - accuracy: 0.6329
69/338 [=====>........................] - ETA: 8s - loss: 0.6645 - accuracy: 0.6359
71/338 [=====>........................] - ETA: 8s - loss: 0.6643 - accuracy: 0.6364
73/338 [=====>........................] - ETA: 8s - loss: 0.6639 - accuracy: 0.6370
75/338 [=====>........................] - ETA: 8s - loss: 0.6643 - accuracy: 0.6363
77/338 [=====>........................] - ETA: 8s - loss: 0.6645 - accuracy: 0.6356
79/338 [======>.......................] - ETA: 8s - loss: 0.6639 - accuracy: 0.6373
81/338 [======>.......................] - ETA: 8s - loss: 0.6645 - accuracy: 0.6350
83/338 [======>.......................] - ETA: 8s - loss: 0.6650 - accuracy: 0.6337
85/338 [======>.......................] - ETA: 8s - loss: 0.6647 - accuracy: 0.6346
87/338 [======>.......................] - ETA: 8s - loss: 0.6651 - accuracy: 0.6336
89/338 [======>.......................] - ETA: 8s - loss: 0.6648 - accuracy: 0.6345
91/338 [=======>......................] - ETA: 8s - loss: 0.6650 - accuracy: 0.6336
93/338 [=======>......................] - ETA: 7s - loss: 0.6655 - accuracy: 0.6324
95/338 [=======>......................] - ETA: 7s - loss: 0.6652 - accuracy: 0.6329
97/338 [=======>......................] - ETA: 7s - loss: 0.6653 - accuracy: 0.6321
99/338 [=======>......................] - ETA: 7s - loss: 0.6658 - accuracy: 0.6310
101/338 [=======>......................] - ETA: 7s - loss: 0.6654 - accuracy: 0.6315
103/338 [========>.....................] - ETA: 7s - loss: 0.6651 - accuracy: 0.6326
105/338 [========>.....................] - ETA: 7s - loss: 0.6656 - accuracy: 0.6318
107/338 [========>.....................] - ETA: 7s - loss: 0.6656 - accuracy: 0.6320
109/338 [========>.....................] - ETA: 7s - loss: 0.6656 - accuracy: 0.6319
111/338 [========>.....................] - ETA: 7s - loss: 0.6660 - accuracy: 0.6306
113/338 [=========>....................] - ETA: 7s - loss: 0.6658 - accuracy: 0.6308
115/338 [=========>....................] - ETA: 7s - loss: 0.6662 - accuracy: 0.6299
117/338 [=========>....................] - ETA: 7s - loss: 0.6660 - accuracy: 0.6303
119/338 [=========>....................] - ETA: 7s - loss: 0.6662 - accuracy: 0.6300
121/338 [=========>....................] - ETA: 7s - loss: 0.6658 - accuracy: 0.6312
123/338 [=========>....................] - ETA: 7s - loss: 0.6657 - accuracy: 0.6311
125/338 [==========>...................] - ETA: 6s - loss: 0.6653 - accuracy: 0.6325
127/338 [==========>...................] - ETA: 6s - loss: 0.6654 - accuracy: 0.6321
129/338 [==========>...................] - ETA: 6s - loss: 0.6652 - accuracy: 0.6328
131/338 [==========>...................] - ETA: 6s - loss: 0.6649 - accuracy: 0.6336
133/338 [==========>...................] - ETA: 6s - loss: 0.6646 - accuracy: 0.6344
135/338 [==========>...................] - ETA: 6s - loss: 0.6643 - accuracy: 0.6350
137/338 [===========>..................] - ETA: 6s - loss: 0.6643 - accuracy: 0.6350
139/338 [===========>..................] - ETA: 6s - loss: 0.6643 - accuracy: 0.6351
141/338 [===========>..................] - ETA: 6s - loss: 0.6646 - accuracy: 0.6343
143/338 [===========>..................] - ETA: 6s - loss: 0.6645 - accuracy: 0.6342
145/338 [===========>..................] - ETA: 6s - loss: 0.6648 - accuracy: 0.6336
147/338 [============>.................] - ETA: 6s - loss: 0.6646 - accuracy: 0.6341
149/338 [============>.................] - ETA: 6s - loss: 0.6650 - accuracy: 0.6332
151/338 [============>.................] - ETA: 6s - loss: 0.6650 - accuracy: 0.6331
153/338 [============>.................] - ETA: 6s - loss: 0.6642 - accuracy: 0.6352
155/338 [============>.................] - ETA: 5s - loss: 0.6642 - accuracy: 0.6355
157/338 [============>.................] - ETA: 5s - loss: 0.6641 - accuracy: 0.6357
159/338 [=============>................] - ETA: 5s - loss: 0.6638 - accuracy: 0.6364
161/338 [=============>................] - ETA: 5s - loss: 0.6644 - accuracy: 0.6349
163/338 [=============>................] - ETA: 5s - loss: 0.6645 - accuracy: 0.6348
165/338 [=============>................] - ETA: 5s - loss: 0.6644 - accuracy: 0.6345
167/338 [=============>................] - ETA: 5s - loss: 0.6644 - accuracy: 0.6342
169/338 [==============>...............] - ETA: 5s - loss: 0.6647 - accuracy: 0.6333
171/338 [==============>...............] - ETA: 5s - loss: 0.6644 - accuracy: 0.6340
173/338 [==============>...............] - ETA: 5s - loss: 0.6647 - accuracy: 0.6331
175/338 [==============>...............] - ETA: 5s - loss: 0.6649 - accuracy: 0.6325
177/338 [==============>...............] - ETA: 5s - loss: 0.6643 - accuracy: 0.6340
179/338 [==============>...............] - ETA: 5s - loss: 0.6642 - accuracy: 0.6341
181/338 [===============>..............] - ETA: 5s - loss: 0.6643 - accuracy: 0.6340
183/338 [===============>..............] - ETA: 5s - loss: 0.6647 - accuracy: 0.6329
185/338 [===============>..............] - ETA: 5s - loss: 0.6647 - accuracy: 0.6326
187/338 [===============>..............] - ETA: 4s - loss: 0.6647 - accuracy: 0.6325
189/338 [===============>..............] - ETA: 4s - loss: 0.6644 - accuracy: 0.6334
191/338 [===============>..............] - ETA: 4s - loss: 0.6644 - accuracy: 0.6332
193/338 [================>.............] - ETA: 4s - loss: 0.6645 - accuracy: 0.6329
195/338 [================>.............] - ETA: 4s - loss: 0.6646 - accuracy: 0.6325
197/338 [================>.............] - ETA: 4s - loss: 0.6647 - accuracy: 0.6325
199/338 [================>.............] - ETA: 4s - loss: 0.6646 - accuracy: 0.6329
201/338 [================>.............] - ETA: 4s - loss: 0.6646 - accuracy: 0.6328
203/338 [=================>............] - ETA: 4s - loss: 0.6643 - accuracy: 0.6335
205/338 [=================>............] - ETA: 4s - loss: 0.6645 - accuracy: 0.6331
207/338 [=================>............] - ETA: 4s - loss: 0.6645 - accuracy: 0.6332
209/338 [=================>............] - ETA: 4s - loss: 0.6646 - accuracy: 0.6326
211/338 [=================>............] - ETA: 4s - loss: 0.6648 - accuracy: 0.6323
213/338 [=================>............] - ETA: 4s - loss: 0.6650 - accuracy: 0.6317
215/338 [==================>...........] - ETA: 4s - loss: 0.6650 - accuracy: 0.6318
217/338 [==================>...........] - ETA: 3s - loss: 0.6650 - accuracy: 0.6316
219/338 [==================>...........] - ETA: 3s - loss: 0.6649 - accuracy: 0.6317
221/338 [==================>...........] - ETA: 3s - loss: 0.6650 - accuracy: 0.6314
223/338 [==================>...........] - ETA: 3s - loss: 0.6650 - accuracy: 0.6312
225/338 [==================>...........] - ETA: 3s - loss: 0.6646 - accuracy: 0.6318
227/338 [===================>..........] - ETA: 3s - loss: 0.6644 - accuracy: 0.6324
229/338 [===================>..........] - ETA: 3s - loss: 0.6641 - accuracy: 0.6331
231/338 [===================>..........] - ETA: 3s - loss: 0.6642 - accuracy: 0.6326
233/338 [===================>..........] - ETA: 3s - loss: 0.6642 - accuracy: 0.6325
235/338 [===================>..........] - ETA: 3s - loss: 0.6644 - accuracy: 0.6320
237/338 [====================>.........] - ETA: 3s - loss: 0.6646 - accuracy: 0.6316
239/338 [====================>.........] - ETA: 3s - loss: 0.6646 - accuracy: 0.6315
241/338 [====================>.........] - ETA: 3s - loss: 0.6642 - accuracy: 0.6327
243/338 [====================>.........] - ETA: 3s - loss: 0.6639 - accuracy: 0.6334
245/338 [====================>.........] - ETA: 3s - loss: 0.6637 - accuracy: 0.6338
247/338 [====================>.........] - ETA: 2s - loss: 0.6637 - accuracy: 0.6337
249/338 [=====================>........] - ETA: 2s - loss: 0.6636 - accuracy: 0.6340
251/338 [=====================>........] - ETA: 2s - loss: 0.6634 - accuracy: 0.6346
253/338 [=====================>........] - ETA: 2s - loss: 0.6635 - accuracy: 0.6345
255/338 [=====================>........] - ETA: 2s - loss: 0.6633 - accuracy: 0.6348
257/338 [=====================>........] - ETA: 2s - loss: 0.6633 - accuracy: 0.6348
259/338 [=====================>........] - ETA: 2s - loss: 0.6634 - accuracy: 0.6345
261/338 [======================>.......] - ETA: 2s - loss: 0.6633 - accuracy: 0.6347
263/338 [======================>.......] - ETA: 2s - loss: 0.6631 - accuracy: 0.6352
265/338 [======================>.......] - ETA: 2s - loss: 0.6632 - accuracy: 0.6350
267/338 [======================>.......] - ETA: 2s - loss: 0.6631 - accuracy: 0.6352
269/338 [======================>.......] - ETA: 2s - loss: 0.6630 - accuracy: 0.6355
271/338 [=======================>......] - ETA: 2s - loss: 0.6630 - accuracy: 0.6354
273/338 [=======================>......] - ETA: 2s - loss: 0.6629 - accuracy: 0.6355
275/338 [=======================>......] - ETA: 2s - loss: 0.6631 - accuracy: 0.6352
277/338 [=======================>......] - ETA: 1s - loss: 0.6630 - accuracy: 0.6355
279/338 [=======================>......] - ETA: 1s - loss: 0.6634 - accuracy: 0.6345
281/338 [=======================>......] - ETA: 1s - loss: 0.6633 - accuracy: 0.6348
283/338 [========================>.....] - ETA: 1s - loss: 0.6630 - accuracy: 0.6355
285/338 [========================>.....] - ETA: 1s - loss: 0.6630 - accuracy: 0.6354
287/338 [========================>.....] - ETA: 1s - loss: 0.6630 - accuracy: 0.6356
289/338 [========================>.....] - ETA: 1s - loss: 0.6629 - accuracy: 0.6356
291/338 [========================>.....] - ETA: 1s - loss: 0.6628 - accuracy: 0.6358
293/338 [=========================>....] - ETA: 1s - loss: 0.6627 - accuracy: 0.6358
295/338 [=========================>....] - ETA: 1s - loss: 0.6625 - accuracy: 0.6363
297/338 [=========================>....] - ETA: 1s - loss: 0.6625 - accuracy: 0.6364
299/338 [=========================>....] - ETA: 1s - loss: 0.6624 - accuracy: 0.6365
301/338 [=========================>....] - ETA: 1s - loss: 0.6625 - accuracy: 0.6360
303/338 [=========================>....] - ETA: 1s - loss: 0.6628 - accuracy: 0.6354
305/338 [==========================>...] - ETA: 1s - loss: 0.6629 - accuracy: 0.6352
307/338 [==========================>...] - ETA: 1s - loss: 0.6629 - accuracy: 0.6352
309/338 [==========================>...] - ETA: 0s - loss: 0.6628 - accuracy: 0.6353
311/338 [==========================>...] - ETA: 0s - loss: 0.6630 - accuracy: 0.6348
313/338 [==========================>...] - ETA: 0s - loss: 0.6630 - accuracy: 0.6348
315/338 [==========================>...] - ETA: 0s - loss: 0.6628 - accuracy: 0.6350
317/338 [===========================>..] - ETA: 0s - loss: 0.6631 - accuracy: 0.6342
319/338 [===========================>..] - ETA: 0s - loss: 0.6632 - accuracy: 0.6338
321/338 [===========================>..] - ETA: 0s - loss: 0.6634 - accuracy: 0.6334
323/338 [===========================>..] - ETA: 0s - loss: 0.6633 - accuracy: 0.6335
325/338 [===========================>..] - ETA: 0s - loss: 0.6629 - accuracy: 0.6342
327/338 [============================>.] - ETA: 0s - loss: 0.6630 - accuracy: 0.6341
329/338 [============================>.] - ETA: 0s - loss: 0.6627 - accuracy: 0.6347
331/338 [============================>.] - ETA: 0s - loss: 0.6626 - accuracy: 0.6350
333/338 [============================>.] - ETA: 0s - loss: 0.6625 - accuracy: 0.6352
335/338 [============================>.] - ETA: 0s - loss: 0.6625 - accuracy: 0.6353
337/338 [============================>.] - ETA: 0s - loss: 0.6624 - accuracy: 0.6355
338/338 [==============================] - 12s 35ms/step - loss: 0.6624 - accuracy: 0.6354 - val_loss: 0.6997 - val_accuracy: 0.5517
Epoch 5/5
1/338 [..............................] - ETA: 10s - loss: 0.6803 - accuracy: 0.6250
3/338 [..............................] - ETA: 11s - loss: 0.6730 - accuracy: 0.6146
5/338 [..............................] - ETA: 10s - loss: 0.6598 - accuracy: 0.6500
7/338 [..............................] - ETA: 10s - loss: 0.6638 - accuracy: 0.6384
9/338 [..............................] - ETA: 10s - loss: 0.6614 - accuracy: 0.6458
11/338 [..............................] - ETA: 10s - loss: 0.6610 - accuracy: 0.6449
13/338 [>.............................] - ETA: 10s - loss: 0.6623 - accuracy: 0.6418
15/338 [>.............................] - ETA: 10s - loss: 0.6595 - accuracy: 0.6458
17/338 [>.............................] - ETA: 10s - loss: 0.6571 - accuracy: 0.6526
19/338 [>.............................] - ETA: 10s - loss: 0.6598 - accuracy: 0.6431
21/338 [>.............................] - ETA: 10s - loss: 0.6584 - accuracy: 0.6473
23/338 [=>............................] - ETA: 10s - loss: 0.6577 - accuracy: 0.6467
25/338 [=>............................] - ETA: 10s - loss: 0.6569 - accuracy: 0.6475
27/338 [=>............................] - ETA: 10s - loss: 0.6585 - accuracy: 0.6458
29/338 [=>............................] - ETA: 10s - loss: 0.6580 - accuracy: 0.6455
31/338 [=>............................] - ETA: 9s - loss: 0.6580 - accuracy: 0.6442
33/338 [=>............................] - ETA: 9s - loss: 0.6607 - accuracy: 0.6373
35/338 [==>...........................] - ETA: 9s - loss: 0.6612 - accuracy: 0.6375
37/338 [==>...........................] - ETA: 9s - loss: 0.6598 - accuracy: 0.6402
39/338 [==>...........................] - ETA: 9s - loss: 0.6575 - accuracy: 0.6450
41/338 [==>...........................] - ETA: 9s - loss: 0.6608 - accuracy: 0.6372
43/338 [==>...........................] - ETA: 9s - loss: 0.6598 - accuracy: 0.6395
45/338 [==>...........................] - ETA: 9s - loss: 0.6617 - accuracy: 0.6361
47/338 [===>..........................] - ETA: 9s - loss: 0.6622 - accuracy: 0.6356
49/338 [===>..........................] - ETA: 9s - loss: 0.6596 - accuracy: 0.6403
51/338 [===>..........................] - ETA: 9s - loss: 0.6607 - accuracy: 0.6385
53/338 [===>..........................] - ETA: 9s - loss: 0.6594 - accuracy: 0.6415
55/338 [===>..........................] - ETA: 9s - loss: 0.6591 - accuracy: 0.6420
57/338 [====>.........................] - ETA: 9s - loss: 0.6593 - accuracy: 0.6420
59/338 [====>.........................] - ETA: 9s - loss: 0.6604 - accuracy: 0.6388
61/338 [====>.........................] - ETA: 9s - loss: 0.6588 - accuracy: 0.6419
63/338 [====>.........................] - ETA: 8s - loss: 0.6596 - accuracy: 0.6394
65/338 [====>.........................] - ETA: 8s - loss: 0.6601 - accuracy: 0.6380
67/338 [====>.........................] - ETA: 8s - loss: 0.6595 - accuracy: 0.6385
69/338 [=====>........................] - ETA: 8s - loss: 0.6586 - accuracy: 0.6404
71/338 [=====>........................] - ETA: 8s - loss: 0.6565 - accuracy: 0.6448
73/338 [=====>........................] - ETA: 8s - loss: 0.6564 - accuracy: 0.6451
75/338 [=====>........................] - ETA: 8s - loss: 0.6568 - accuracy: 0.6442
77/338 [=====>........................] - ETA: 8s - loss: 0.6566 - accuracy: 0.6445
79/338 [======>.......................] - ETA: 8s - loss: 0.6560 - accuracy: 0.6456
81/338 [======>.......................] - ETA: 8s - loss: 0.6560 - accuracy: 0.6454
83/338 [======>.......................] - ETA: 8s - loss: 0.6557 - accuracy: 0.6461
85/338 [======>.......................] - ETA: 8s - loss: 0.6559 - accuracy: 0.6452
87/338 [======>.......................] - ETA: 8s - loss: 0.6557 - accuracy: 0.6462
89/338 [======>.......................] - ETA: 8s - loss: 0.6560 - accuracy: 0.6457
91/338 [=======>......................] - ETA: 8s - loss: 0.6556 - accuracy: 0.6470
93/338 [=======>......................] - ETA: 7s - loss: 0.6554 - accuracy: 0.6472
95/338 [=======>......................] - ETA: 7s - loss: 0.6548 - accuracy: 0.6487
97/338 [=======>......................] - ETA: 7s - loss: 0.6547 - accuracy: 0.6488
99/338 [=======>......................] - ETA: 7s - loss: 0.6552 - accuracy: 0.6480
101/338 [=======>......................] - ETA: 7s - loss: 0.6556 - accuracy: 0.6470
103/338 [========>.....................] - ETA: 7s - loss: 0.6561 - accuracy: 0.6456
105/338 [========>.....................] - ETA: 7s - loss: 0.6559 - accuracy: 0.6455
107/338 [========>.....................] - ETA: 7s - loss: 0.6559 - accuracy: 0.6452
109/338 [========>.....................] - ETA: 7s - loss: 0.6557 - accuracy: 0.6454
111/338 [========>.....................] - ETA: 7s - loss: 0.6556 - accuracy: 0.6458
113/338 [=========>....................] - ETA: 7s - loss: 0.6569 - accuracy: 0.6435
115/338 [=========>....................] - ETA: 7s - loss: 0.6575 - accuracy: 0.6421
117/338 [=========>....................] - ETA: 7s - loss: 0.6576 - accuracy: 0.6416
119/338 [=========>....................] - ETA: 7s - loss: 0.6582 - accuracy: 0.6402
121/338 [=========>....................] - ETA: 7s - loss: 0.6583 - accuracy: 0.6402
123/338 [=========>....................] - ETA: 7s - loss: 0.6588 - accuracy: 0.6392
125/338 [==========>...................] - ETA: 7s - loss: 0.6587 - accuracy: 0.6388
127/338 [==========>...................] - ETA: 6s - loss: 0.6588 - accuracy: 0.6385
129/338 [==========>...................] - ETA: 6s - loss: 0.6591 - accuracy: 0.6376
131/338 [==========>...................] - ETA: 6s - loss: 0.6587 - accuracy: 0.6386
133/338 [==========>...................] - ETA: 6s - loss: 0.6590 - accuracy: 0.6382
135/338 [==========>...................] - ETA: 6s - loss: 0.6592 - accuracy: 0.6380
137/338 [===========>..................] - ETA: 6s - loss: 0.6594 - accuracy: 0.6375
139/338 [===========>..................] - ETA: 6s - loss: 0.6594 - accuracy: 0.6374
141/338 [===========>..................] - ETA: 6s - loss: 0.6596 - accuracy: 0.6372
143/338 [===========>..................] - ETA: 6s - loss: 0.6598 - accuracy: 0.6370
145/338 [===========>..................] - ETA: 6s - loss: 0.6591 - accuracy: 0.6386
147/338 [============>.................] - ETA: 6s - loss: 0.6590 - accuracy: 0.6390
149/338 [============>.................] - ETA: 6s - loss: 0.6589 - accuracy: 0.6391
151/338 [============>.................] - ETA: 6s - loss: 0.6589 - accuracy: 0.6393
153/338 [============>.................] - ETA: 6s - loss: 0.6591 - accuracy: 0.6389
155/338 [============>.................] - ETA: 6s - loss: 0.6589 - accuracy: 0.6391
157/338 [============>.................] - ETA: 5s - loss: 0.6588 - accuracy: 0.6395
159/338 [=============>................] - ETA: 5s - loss: 0.6585 - accuracy: 0.6401
161/338 [=============>................] - ETA: 5s - loss: 0.6588 - accuracy: 0.6398
163/338 [=============>................] - ETA: 5s - loss: 0.6590 - accuracy: 0.6392
165/338 [=============>................] - ETA: 5s - loss: 0.6586 - accuracy: 0.6400
167/338 [=============>................] - ETA: 5s - loss: 0.6592 - accuracy: 0.6385
169/338 [==============>...............] - ETA: 5s - loss: 0.6591 - accuracy: 0.6389
171/338 [==============>...............] - ETA: 5s - loss: 0.6587 - accuracy: 0.6396
173/338 [==============>...............] - ETA: 5s - loss: 0.6588 - accuracy: 0.6395
175/338 [==============>...............] - ETA: 5s - loss: 0.6585 - accuracy: 0.6402
177/338 [==============>...............] - ETA: 5s - loss: 0.6583 - accuracy: 0.6407
179/338 [==============>...............] - ETA: 5s - loss: 0.6582 - accuracy: 0.6407
181/338 [===============>..............] - ETA: 5s - loss: 0.6583 - accuracy: 0.6409
183/338 [===============>..............] - ETA: 5s - loss: 0.6584 - accuracy: 0.6402
185/338 [===============>..............] - ETA: 5s - loss: 0.6586 - accuracy: 0.6400
187/338 [===============>..............] - ETA: 4s - loss: 0.6586 - accuracy: 0.6410
189/338 [===============>..............] - ETA: 4s - loss: 0.6588 - accuracy: 0.6405
191/338 [===============>..............] - ETA: 4s - loss: 0.6589 - accuracy: 0.6407
193/338 [================>.............] - ETA: 4s - loss: 0.6589 - accuracy: 0.6404
195/338 [================>.............] - ETA: 4s - loss: 0.6592 - accuracy: 0.6404
197/338 [================>.............] - ETA: 4s - loss: 0.6595 - accuracy: 0.6398
199/338 [================>.............] - ETA: 4s - loss: 0.6595 - accuracy: 0.6399
201/338 [================>.............] - ETA: 4s - loss: 0.6594 - accuracy: 0.6398
203/338 [=================>............] - ETA: 4s - loss: 0.6595 - accuracy: 0.6405
205/338 [=================>............] - ETA: 4s - loss: 0.6594 - accuracy: 0.6409
207/338 [=================>............] - ETA: 4s - loss: 0.6593 - accuracy: 0.6412
209/338 [=================>............] - ETA: 4s - loss: 0.6595 - accuracy: 0.6406
211/338 [=================>............] - ETA: 4s - loss: 0.6597 - accuracy: 0.6401
213/338 [=================>............] - ETA: 4s - loss: 0.6598 - accuracy: 0.6398
215/338 [==================>...........] - ETA: 4s - loss: 0.6598 - accuracy: 0.6400
217/338 [==================>...........] - ETA: 3s - loss: 0.6601 - accuracy: 0.6394
219/338 [==================>...........] - ETA: 3s - loss: 0.6597 - accuracy: 0.6401
221/338 [==================>...........] - ETA: 3s - loss: 0.6598 - accuracy: 0.6400
223/338 [==================>...........] - ETA: 3s - loss: 0.6596 - accuracy: 0.6403
225/338 [==================>...........] - ETA: 3s - loss: 0.6598 - accuracy: 0.6399
227/338 [===================>..........] - ETA: 3s - loss: 0.6598 - accuracy: 0.6400
229/338 [===================>..........] - ETA: 3s - loss: 0.6596 - accuracy: 0.6406
231/338 [===================>..........] - ETA: 3s - loss: 0.6594 - accuracy: 0.6411
233/338 [===================>..........] - ETA: 3s - loss: 0.6594 - accuracy: 0.6411
235/338 [===================>..........] - ETA: 3s - loss: 0.6598 - accuracy: 0.6404
237/338 [====================>.........] - ETA: 3s - loss: 0.6599 - accuracy: 0.6399
239/338 [====================>.........] - ETA: 3s - loss: 0.6600 - accuracy: 0.6399
241/338 [====================>.........] - ETA: 3s - loss: 0.6596 - accuracy: 0.6407
243/338 [====================>.........] - ETA: 3s - loss: 0.6599 - accuracy: 0.6399
245/338 [====================>.........] - ETA: 3s - loss: 0.6600 - accuracy: 0.6399
247/338 [====================>.........] - ETA: 2s - loss: 0.6601 - accuracy: 0.6397
249/338 [=====================>........] - ETA: 2s - loss: 0.6599 - accuracy: 0.6402
251/338 [=====================>........] - ETA: 2s - loss: 0.6595 - accuracy: 0.6409
253/338 [=====================>........] - ETA: 2s - loss: 0.6591 - accuracy: 0.6419
255/338 [=====================>........] - ETA: 2s - loss: 0.6594 - accuracy: 0.6413
257/338 [=====================>........] - ETA: 2s - loss: 0.6593 - accuracy: 0.6415
259/338 [=====================>........] - ETA: 2s - loss: 0.6595 - accuracy: 0.6412
261/338 [======================>.......] - ETA: 2s - loss: 0.6594 - accuracy: 0.6414
263/338 [======================>.......] - ETA: 2s - loss: 0.6598 - accuracy: 0.6408
265/338 [======================>.......] - ETA: 2s - loss: 0.6601 - accuracy: 0.6402
267/338 [======================>.......] - ETA: 2s - loss: 0.6602 - accuracy: 0.6400
269/338 [======================>.......] - ETA: 2s - loss: 0.6602 - accuracy: 0.6398
271/338 [=======================>......] - ETA: 2s - loss: 0.6601 - accuracy: 0.6398
273/338 [=======================>......] - ETA: 2s - loss: 0.6601 - accuracy: 0.6398
275/338 [=======================>......] - ETA: 2s - loss: 0.6602 - accuracy: 0.6394
277/338 [=======================>......] - ETA: 2s - loss: 0.6600 - accuracy: 0.6400
279/338 [=======================>......] - ETA: 1s - loss: 0.6601 - accuracy: 0.6397
281/338 [=======================>......] - ETA: 1s - loss: 0.6600 - accuracy: 0.6398
283/338 [========================>.....] - ETA: 1s - loss: 0.6601 - accuracy: 0.6396
285/338 [========================>.....] - ETA: 1s - loss: 0.6605 - accuracy: 0.6387
287/338 [========================>.....] - ETA: 1s - loss: 0.6606 - accuracy: 0.6387
289/338 [========================>.....] - ETA: 1s - loss: 0.6604 - accuracy: 0.6389
291/338 [========================>.....] - ETA: 1s - loss: 0.6607 - accuracy: 0.6385
293/338 [=========================>....] - ETA: 1s - loss: 0.6604 - accuracy: 0.6390
295/338 [=========================>....] - ETA: 1s - loss: 0.6604 - accuracy: 0.6387
297/338 [=========================>....] - ETA: 1s - loss: 0.6601 - accuracy: 0.6390
299/338 [=========================>....] - ETA: 1s - loss: 0.6603 - accuracy: 0.6387
301/338 [=========================>....] - ETA: 1s - loss: 0.6602 - accuracy: 0.6388
303/338 [=========================>....] - ETA: 1s - loss: 0.6603 - accuracy: 0.6385
305/338 [==========================>...] - ETA: 1s - loss: 0.6602 - accuracy: 0.6389
307/338 [==========================>...] - ETA: 1s - loss: 0.6600 - accuracy: 0.6393
309/338 [==========================>...] - ETA: 0s - loss: 0.6599 - accuracy: 0.6395
311/338 [==========================>...] - ETA: 0s - loss: 0.6598 - accuracy: 0.6397
313/338 [==========================>...] - ETA: 0s - loss: 0.6599 - accuracy: 0.6394
315/338 [==========================>...] - ETA: 0s - loss: 0.6601 - accuracy: 0.6392
317/338 [===========================>..] - ETA: 0s - loss: 0.6598 - accuracy: 0.6398
319/338 [===========================>..] - ETA: 0s - loss: 0.6597 - accuracy: 0.6401
321/338 [===========================>..] - ETA: 0s - loss: 0.6593 - accuracy: 0.6409
323/338 [===========================>..] - ETA: 0s - loss: 0.6594 - accuracy: 0.6408
325/338 [===========================>..] - ETA: 0s - loss: 0.6597 - accuracy: 0.6404
327/338 [============================>.] - ETA: 0s - loss: 0.6598 - accuracy: 0.6403
329/338 [============================>.] - ETA: 0s - loss: 0.6597 - accuracy: 0.6405
331/338 [============================>.] - ETA: 0s - loss: 0.6598 - accuracy: 0.6403
333/338 [============================>.] - ETA: 0s - loss: 0.6598 - accuracy: 0.6403
335/338 [============================>.] - ETA: 0s - loss: 0.6600 - accuracy: 0.6400
337/338 [============================>.] - ETA: 0s - loss: 0.6596 - accuracy: 0.6408
338/338 [==============================] - 12s 35ms/step - loss: 0.6594 - accuracy: 0.6410 - val_loss: 0.6650 - val_accuracy: 0.6296
1/97 [..............................] - ETA: 1s - loss: 0.6470 - accuracy: 0.6875
8/97 [=>............................] - ETA: 0s - loss: 0.6748 - accuracy: 0.6211
15/97 [===>..........................] - ETA: 0s - loss: 0.6659 - accuracy: 0.6354
22/97 [=====>........................] - ETA: 0s - loss: 0.6607 - accuracy: 0.6406
29/97 [=======>......................] - ETA: 0s - loss: 0.6640 - accuracy: 0.6315
36/97 [==========>...................] - ETA: 0s - loss: 0.6648 - accuracy: 0.6293
43/97 [============>.................] - ETA: 0s - loss: 0.6713 - accuracy: 0.6163
50/97 [==============>...............] - ETA: 0s - loss: 0.6634 - accuracy: 0.6313
57/97 [================>.............] - ETA: 0s - loss: 0.6664 - accuracy: 0.6266
64/97 [==================>...........] - ETA: 0s - loss: 0.6648 - accuracy: 0.6299
71/97 [====================>.........] - ETA: 0s - loss: 0.6643 - accuracy: 0.6298
78/97 [=======================>......] - ETA: 0s - loss: 0.6661 - accuracy: 0.6266
85/97 [=========================>....] - ETA: 0s - loss: 0.6649 - accuracy: 0.6294
92/97 [===========================>..] - ETA: 0s - loss: 0.6651 - accuracy: 0.6287
97/97 [==============================] - 1s 7ms/step - loss: 0.6650 - accuracy: 0.6296
Performance drop after ablating c0: -0.102821946144104
Epoch 1/5
1/338 [..............................] - ETA: 5:07 - loss: 0.7088 - accuracy: 0.5312
2/338 [..............................] - ETA: 16s - loss: 0.7075 - accuracy: 0.5625
3/338 [..............................] - ETA: 16s - loss: 0.7079 - accuracy: 0.5417
4/338 [..............................] - ETA: 17s - loss: 0.7080 - accuracy: 0.5312
5/338 [..............................] - ETA: 17s - loss: 0.7092 - accuracy: 0.4938
6/338 [..............................] - ETA: 17s - loss: 0.7074 - accuracy: 0.5365
7/338 [..............................] - ETA: 17s - loss: 0.7067 - accuracy: 0.5446
9/338 [..............................] - ETA: 16s - loss: 0.7069 - accuracy: 0.5278
10/338 [..............................] - ETA: 16s - loss: 0.7070 - accuracy: 0.5188
12/338 [>.............................] - ETA: 16s - loss: 0.7059 - accuracy: 0.5339
13/338 [>.............................] - ETA: 16s - loss: 0.7057 - accuracy: 0.5312
14/338 [>.............................] - ETA: 16s - loss: 0.7050 - accuracy: 0.5424
16/338 [>.............................] - ETA: 16s - loss: 0.7041 - accuracy: 0.5508
17/338 [>.............................] - ETA: 16s - loss: 0.7039 - accuracy: 0.5496
18/338 [>.............................] - ETA: 16s - loss: 0.7040 - accuracy: 0.5434
19/338 [>.............................] - ETA: 16s - loss: 0.7040 - accuracy: 0.5395
20/338 [>.............................] - ETA: 16s - loss: 0.7039 - accuracy: 0.5359
21/338 [>.............................] - ETA: 16s - loss: 0.7036 - accuracy: 0.5387
22/338 [>.............................] - ETA: 16s - loss: 0.7032 - accuracy: 0.5412
23/338 [=>............................] - ETA: 16s - loss: 0.7027 - accuracy: 0.5462
25/338 [=>............................] - ETA: 15s - loss: 0.7026 - accuracy: 0.5412
26/338 [=>............................] - ETA: 15s - loss: 0.7025 - accuracy: 0.5397
27/338 [=>............................] - ETA: 15s - loss: 0.7022 - accuracy: 0.5417
28/338 [=>............................] - ETA: 15s - loss: 0.7022 - accuracy: 0.5391
29/338 [=>............................] - ETA: 15s - loss: 0.7021 - accuracy: 0.5366
30/338 [=>............................] - ETA: 15s - loss: 0.7019 - accuracy: 0.5375
31/338 [=>............................] - ETA: 15s - loss: 0.7016 - accuracy: 0.5403
32/338 [=>............................] - ETA: 15s - loss: 0.7016 - accuracy: 0.5381
33/338 [=>............................] - ETA: 15s - loss: 0.7015 - accuracy: 0.5360
35/338 [==>...........................] - ETA: 15s - loss: 0.7011 - accuracy: 0.5384
36/338 [==>...........................] - ETA: 15s - loss: 0.7008 - accuracy: 0.5408
38/338 [==>...........................] - ETA: 15s - loss: 0.7006 - accuracy: 0.5395
39/338 [==>...........................] - ETA: 15s - loss: 0.7004 - accuracy: 0.5401
40/338 [==>...........................] - ETA: 15s - loss: 0.7005 - accuracy: 0.5367
42/338 [==>...........................] - ETA: 15s - loss: 0.7003 - accuracy: 0.5357
44/338 [==>...........................] - ETA: 14s - loss: 0.7002 - accuracy: 0.5341
45/338 [==>...........................] - ETA: 14s - loss: 0.7000 - accuracy: 0.5347
46/338 [===>..........................] - ETA: 14s - loss: 0.7000 - accuracy: 0.5340
47/338 [===>..........................] - ETA: 14s - loss: 0.6996 - accuracy: 0.5379
48/338 [===>..........................] - ETA: 14s - loss: 0.6995 - accuracy: 0.5378
49/338 [===>..........................] - ETA: 14s - loss: 0.6993 - accuracy: 0.5395
51/338 [===>..........................] - ETA: 14s - loss: 0.6995 - accuracy: 0.5337
52/338 [===>..........................] - ETA: 14s - loss: 0.6994 - accuracy: 0.5331
53/338 [===>..........................] - ETA: 14s - loss: 0.6993 - accuracy: 0.5342
54/338 [===>..........................] - ETA: 14s - loss: 0.6993 - accuracy: 0.5330
56/338 [===>..........................] - ETA: 14s - loss: 0.6992 - accuracy: 0.5312
57/338 [====>.........................] - ETA: 14s - loss: 0.6991 - accuracy: 0.5312
59/338 [====>.........................] - ETA: 14s - loss: 0.6989 - accuracy: 0.5318
61/338 [====>.........................] - ETA: 14s - loss: 0.6988 - accuracy: 0.5312
62/338 [====>.........................] - ETA: 14s - loss: 0.6989 - accuracy: 0.5292
63/338 [====>.........................] - ETA: 13s - loss: 0.6987 - accuracy: 0.5312
65/338 [====>.........................] - ETA: 13s - loss: 0.6987 - accuracy: 0.5293
66/338 [====>.........................] - ETA: 13s - loss: 0.6986 - accuracy: 0.5298
67/338 [====>.........................] - ETA: 13s - loss: 0.6986 - accuracy: 0.5285
68/338 [=====>........................] - ETA: 13s - loss: 0.6986 - accuracy: 0.5276
69/338 [=====>........................] - ETA: 13s - loss: 0.6986 - accuracy: 0.5263
70/338 [=====>........................] - ETA: 13s - loss: 0.6986 - accuracy: 0.5254
71/338 [=====>........................] - ETA: 13s - loss: 0.6986 - accuracy: 0.5246
72/338 [=====>........................] - ETA: 13s - loss: 0.6986 - accuracy: 0.5239
74/338 [=====>........................] - ETA: 13s - loss: 0.6984 - accuracy: 0.5258
76/338 [=====>........................] - ETA: 13s - loss: 0.6983 - accuracy: 0.5247
78/338 [=====>........................] - ETA: 13s - loss: 0.6982 - accuracy: 0.5244
79/338 [======>.......................] - ETA: 13s - loss: 0.6981 - accuracy: 0.5257
80/338 [======>.......................] - ETA: 13s - loss: 0.6981 - accuracy: 0.5246
81/338 [======>.......................] - ETA: 13s - loss: 0.6980 - accuracy: 0.5258
82/338 [======>.......................] - ETA: 12s - loss: 0.6980 - accuracy: 0.5252
83/338 [======>.......................] - ETA: 12s - loss: 0.6979 - accuracy: 0.5256
85/338 [======>.......................] - ETA: 12s - loss: 0.6979 - accuracy: 0.5243
86/338 [======>.......................] - ETA: 12s - loss: 0.6979 - accuracy: 0.5229
88/338 [======>.......................] - ETA: 12s - loss: 0.6977 - accuracy: 0.5241
90/338 [======>.......................] - ETA: 12s - loss: 0.6976 - accuracy: 0.5253
92/338 [=======>......................] - ETA: 12s - loss: 0.6974 - accuracy: 0.5279
93/338 [=======>......................] - ETA: 12s - loss: 0.6973 - accuracy: 0.5286
94/338 [=======>......................] - ETA: 12s - loss: 0.6974 - accuracy: 0.5256
95/338 [=======>......................] - ETA: 12s - loss: 0.6974 - accuracy: 0.5253
96/338 [=======>......................] - ETA: 12s - loss: 0.6973 - accuracy: 0.5267
97/338 [=======>......................] - ETA: 12s - loss: 0.6973 - accuracy: 0.5258
99/338 [=======>......................] - ETA: 12s - loss: 0.6972 - accuracy: 0.5262
100/338 [=======>......................] - ETA: 12s - loss: 0.6971 - accuracy: 0.5269
101/338 [=======>......................] - ETA: 12s - loss: 0.6971 - accuracy: 0.5269
102/338 [========>.....................] - ETA: 12s - loss: 0.6972 - accuracy: 0.5248
104/338 [========>.....................] - ETA: 11s - loss: 0.6972 - accuracy: 0.5243
105/338 [========>.....................] - ETA: 11s - loss: 0.6972 - accuracy: 0.5235
107/338 [========>.....................] - ETA: 11s - loss: 0.6969 - accuracy: 0.5263
108/338 [========>.....................] - ETA: 11s - loss: 0.6969 - accuracy: 0.5263
109/338 [========>.....................] - ETA: 11s - loss: 0.6967 - accuracy: 0.5281
111/338 [========>.....................] - ETA: 11s - loss: 0.6965 - accuracy: 0.5301
113/338 [=========>....................] - ETA: 11s - loss: 0.6964 - accuracy: 0.5304
114/338 [=========>....................] - ETA: 11s - loss: 0.6964 - accuracy: 0.5310
115/338 [=========>....................] - ETA: 11s - loss: 0.6963 - accuracy: 0.5310
116/338 [=========>....................] - ETA: 11s - loss: 0.6962 - accuracy: 0.5323
118/338 [=========>....................] - ETA: 11s - loss: 0.6961 - accuracy: 0.5331
119/338 [=========>....................] - ETA: 11s - loss: 0.6960 - accuracy: 0.5341
120/338 [=========>....................] - ETA: 11s - loss: 0.6959 - accuracy: 0.5346
121/338 [=========>....................] - ETA: 11s - loss: 0.6958 - accuracy: 0.5351
122/338 [=========>....................] - ETA: 10s - loss: 0.6959 - accuracy: 0.5343
123/338 [=========>....................] - ETA: 10s - loss: 0.6959 - accuracy: 0.5340
124/338 [==========>...................] - ETA: 10s - loss: 0.6958 - accuracy: 0.5343
125/338 [==========>...................] - ETA: 10s - loss: 0.6958 - accuracy: 0.5345
127/338 [==========>...................] - ETA: 10s - loss: 0.6958 - accuracy: 0.5337
128/338 [==========>...................] - ETA: 10s - loss: 0.6956 - accuracy: 0.5349
129/338 [==========>...................] - ETA: 10s - loss: 0.6955 - accuracy: 0.5354
130/338 [==========>...................] - ETA: 10s - loss: 0.6956 - accuracy: 0.5349
131/338 [==========>...................] - ETA: 10s - loss: 0.6956 - accuracy: 0.5346
132/338 [==========>...................] - ETA: 10s - loss: 0.6956 - accuracy: 0.5336
133/338 [==========>...................] - ETA: 10s - loss: 0.6956 - accuracy: 0.5336
135/338 [==========>...................] - ETA: 10s - loss: 0.6957 - accuracy: 0.5322
136/338 [===========>..................] - ETA: 10s - loss: 0.6957 - accuracy: 0.5317
137/338 [===========>..................] - ETA: 10s - loss: 0.6957 - accuracy: 0.5315
138/338 [===========>..................] - ETA: 10s - loss: 0.6957 - accuracy: 0.5317
139/338 [===========>..................] - ETA: 10s - loss: 0.6956 - accuracy: 0.5326
140/338 [===========>..................] - ETA: 10s - loss: 0.6957 - accuracy: 0.5312
142/338 [===========>..................] - ETA: 9s - loss: 0.6955 - accuracy: 0.5319
143/338 [===========>..................] - ETA: 9s - loss: 0.6956 - accuracy: 0.5308
144/338 [===========>..................] - ETA: 9s - loss: 0.6955 - accuracy: 0.5317
145/338 [===========>..................] - ETA: 9s - loss: 0.6955 - accuracy: 0.5317
146/338 [===========>..................] - ETA: 9s - loss: 0.6954 - accuracy: 0.5325
148/338 [============>.................] - ETA: 9s - loss: 0.6954 - accuracy: 0.5321
150/338 [============>.................] - ETA: 9s - loss: 0.6952 - accuracy: 0.5331
152/338 [============>.................] - ETA: 9s - loss: 0.6951 - accuracy: 0.5335
153/338 [============>.................] - ETA: 9s - loss: 0.6951 - accuracy: 0.5331
155/338 [============>.................] - ETA: 9s - loss: 0.6951 - accuracy: 0.5325
156/338 [============>.................] - ETA: 9s - loss: 0.6952 - accuracy: 0.5323
157/338 [============>.................] - ETA: 9s - loss: 0.6951 - accuracy: 0.5324
158/338 [=============>................] - ETA: 9s - loss: 0.6950 - accuracy: 0.5336
160/338 [=============>................] - ETA: 9s - loss: 0.6949 - accuracy: 0.5340
161/338 [=============>................] - ETA: 8s - loss: 0.6948 - accuracy: 0.5342
163/338 [=============>................] - ETA: 8s - loss: 0.6946 - accuracy: 0.5360
164/338 [=============>................] - ETA: 8s - loss: 0.6945 - accuracy: 0.5362
165/338 [=============>................] - ETA: 8s - loss: 0.6946 - accuracy: 0.5356
166/338 [=============>................] - ETA: 8s - loss: 0.6947 - accuracy: 0.5346
168/338 [=============>................] - ETA: 8s - loss: 0.6947 - accuracy: 0.5342
169/338 [==============>...............] - ETA: 8s - loss: 0.6947 - accuracy: 0.5340
170/338 [==============>...............] - ETA: 8s - loss: 0.6946 - accuracy: 0.5344
171/338 [==============>...............] - ETA: 8s - loss: 0.6946 - accuracy: 0.5345
172/338 [==============>...............] - ETA: 8s - loss: 0.6947 - accuracy: 0.5338
173/338 [==============>...............] - ETA: 8s - loss: 0.6945 - accuracy: 0.5347
174/338 [==============>...............] - ETA: 8s - loss: 0.6945 - accuracy: 0.5348
175/338 [==============>...............] - ETA: 8s - loss: 0.6944 - accuracy: 0.5350
176/338 [==============>...............] - ETA: 8s - loss: 0.6943 - accuracy: 0.5357
178/338 [==============>...............] - ETA: 8s - loss: 0.6943 - accuracy: 0.5358
179/338 [==============>...............] - ETA: 8s - loss: 0.6942 - accuracy: 0.5361
180/338 [==============>...............] - ETA: 8s - loss: 0.6943 - accuracy: 0.5354
181/338 [===============>..............] - ETA: 7s - loss: 0.6942 - accuracy: 0.5359
182/338 [===============>..............] - ETA: 7s - loss: 0.6943 - accuracy: 0.5354
183/338 [===============>..............] - ETA: 7s - loss: 0.6943 - accuracy: 0.5350
185/338 [===============>..............] - ETA: 7s - loss: 0.6943 - accuracy: 0.5348
186/338 [===============>..............] - ETA: 7s - loss: 0.6942 - accuracy: 0.5353
187/338 [===============>..............] - ETA: 7s - loss: 0.6942 - accuracy: 0.5353
188/338 [===============>..............] - ETA: 7s - loss: 0.6941 - accuracy: 0.5357
189/338 [===============>..............] - ETA: 7s - loss: 0.6941 - accuracy: 0.5355
190/338 [===============>..............] - ETA: 7s - loss: 0.6941 - accuracy: 0.5360
191/338 [===============>..............] - ETA: 7s - loss: 0.6941 - accuracy: 0.5358
192/338 [================>.............] - ETA: 7s - loss: 0.6940 - accuracy: 0.5358
193/338 [================>.............] - ETA: 7s - loss: 0.6939 - accuracy: 0.5366
194/338 [================>.............] - ETA: 7s - loss: 0.6939 - accuracy: 0.5366
195/338 [================>.............] - ETA: 7s - loss: 0.6940 - accuracy: 0.5361
196/338 [================>.............] - ETA: 7s - loss: 0.6939 - accuracy: 0.5364
198/338 [================>.............] - ETA: 7s - loss: 0.6939 - accuracy: 0.5361
199/338 [================>.............] - ETA: 7s - loss: 0.6938 - accuracy: 0.5364
200/338 [================>.............] - ETA: 7s - loss: 0.6938 - accuracy: 0.5369
201/338 [================>.............] - ETA: 6s - loss: 0.6938 - accuracy: 0.5367
202/338 [================>.............] - ETA: 6s - loss: 0.6938 - accuracy: 0.5365
203/338 [=================>............] - ETA: 6s - loss: 0.6939 - accuracy: 0.5353
204/338 [=================>............] - ETA: 6s - loss: 0.6939 - accuracy: 0.5346
205/338 [=================>............] - ETA: 6s - loss: 0.6940 - accuracy: 0.5340
206/338 [=================>............] - ETA: 6s - loss: 0.6940 - accuracy: 0.5337
207/338 [=================>............] - ETA: 6s - loss: 0.6940 - accuracy: 0.5340
208/338 [=================>............] - ETA: 6s - loss: 0.6939 - accuracy: 0.5344
209/338 [=================>............] - ETA: 6s - loss: 0.6939 - accuracy: 0.5342
210/338 [=================>............] - ETA: 6s - loss: 0.6939 - accuracy: 0.5338
211/338 [=================>............] - ETA: 6s - loss: 0.6940 - accuracy: 0.5330
212/338 [=================>............] - ETA: 6s - loss: 0.6940 - accuracy: 0.5329
214/338 [=================>............] - ETA: 6s - loss: 0.6940 - accuracy: 0.5330
215/338 [==================>...........] - ETA: 6s - loss: 0.6939 - accuracy: 0.5336
217/338 [==================>...........] - ETA: 6s - loss: 0.6939 - accuracy: 0.5338
218/338 [==================>...........] - ETA: 6s - loss: 0.6939 - accuracy: 0.5331
219/338 [==================>...........] - ETA: 6s - loss: 0.6939 - accuracy: 0.5332
220/338 [==================>...........] - ETA: 6s - loss: 0.6939 - accuracy: 0.5330
221/338 [==================>...........] - ETA: 5s - loss: 0.6939 - accuracy: 0.5331
222/338 [==================>...........] - ETA: 5s - loss: 0.6938 - accuracy: 0.5334
223/338 [==================>...........] - ETA: 5s - loss: 0.6938 - accuracy: 0.5334
224/338 [==================>...........] - ETA: 5s - loss: 0.6938 - accuracy: 0.5333
225/338 [==================>...........] - ETA: 5s - loss: 0.6938 - accuracy: 0.5333
226/338 [===================>..........] - ETA: 5s - loss: 0.6938 - accuracy: 0.5333
227/338 [===================>..........] - ETA: 5s - loss: 0.6937 - accuracy: 0.5337
229/338 [===================>..........] - ETA: 5s - loss: 0.6938 - accuracy: 0.5325
230/338 [===================>..........] - ETA: 5s - loss: 0.6938 - accuracy: 0.5327
231/338 [===================>..........] - ETA: 5s - loss: 0.6938 - accuracy: 0.5325
232/338 [===================>..........] - ETA: 5s - loss: 0.6938 - accuracy: 0.5326
233/338 [===================>..........] - ETA: 5s - loss: 0.6938 - accuracy: 0.5322
234/338 [===================>..........] - ETA: 5s - loss: 0.6938 - accuracy: 0.5321
235/338 [===================>..........] - ETA: 5s - loss: 0.6938 - accuracy: 0.5318
237/338 [====================>.........] - ETA: 5s - loss: 0.6937 - accuracy: 0.5323
238/338 [====================>.........] - ETA: 5s - loss: 0.6938 - accuracy: 0.5320
239/338 [====================>.........] - ETA: 5s - loss: 0.6938 - accuracy: 0.5319
240/338 [====================>.........] - ETA: 4s - loss: 0.6938 - accuracy: 0.5318
241/338 [====================>.........] - ETA: 4s - loss: 0.6938 - accuracy: 0.5314
242/338 [====================>.........] - ETA: 4s - loss: 0.6938 - accuracy: 0.5310
243/338 [====================>.........] - ETA: 4s - loss: 0.6938 - accuracy: 0.5309
244/338 [====================>.........] - ETA: 4s - loss: 0.6939 - accuracy: 0.5302
245/338 [====================>.........] - ETA: 4s - loss: 0.6938 - accuracy: 0.5309
246/338 [====================>.........] - ETA: 4s - loss: 0.6938 - accuracy: 0.5309
247/338 [====================>.........] - ETA: 4s - loss: 0.6938 - accuracy: 0.5304
248/338 [=====================>........] - ETA: 4s - loss: 0.6938 - accuracy: 0.5306
249/338 [=====================>........] - ETA: 4s - loss: 0.6938 - accuracy: 0.5306
250/338 [=====================>........] - ETA: 4s - loss: 0.6938 - accuracy: 0.5307
251/338 [=====================>........] - ETA: 4s - loss: 0.6937 - accuracy: 0.5309
253/338 [=====================>........] - ETA: 4s - loss: 0.6938 - accuracy: 0.5301
254/338 [=====================>........] - ETA: 4s - loss: 0.6938 - accuracy: 0.5303
256/338 [=====================>........] - ETA: 4s - loss: 0.6938 - accuracy: 0.5291
257/338 [=====================>........] - ETA: 4s - loss: 0.6938 - accuracy: 0.5294
259/338 [=====================>........] - ETA: 4s - loss: 0.6938 - accuracy: 0.5287
260/338 [======================>.......] - ETA: 3s - loss: 0.6938 - accuracy: 0.5287
261/338 [======================>.......] - ETA: 3s - loss: 0.6938 - accuracy: 0.5289
262/338 [======================>.......] - ETA: 3s - loss: 0.6938 - accuracy: 0.5287
263/338 [======================>.......] - ETA: 3s - loss: 0.6938 - accuracy: 0.5284
264/338 [======================>.......] - ETA: 3s - loss: 0.6938 - accuracy: 0.5285
266/338 [======================>.......] - ETA: 3s - loss: 0.6938 - accuracy: 0.5280
267/338 [======================>.......] - ETA: 3s - loss: 0.6938 - accuracy: 0.5282
268/338 [======================>.......] - ETA: 3s - loss: 0.6938 - accuracy: 0.5281
269/338 [======================>.......] - ETA: 3s - loss: 0.6938 - accuracy: 0.5273
270/338 [======================>.......] - ETA: 3s - loss: 0.6937 - accuracy: 0.5285
271/338 [=======================>......] - ETA: 3s - loss: 0.6937 - accuracy: 0.5283
272/338 [=======================>......] - ETA: 3s - loss: 0.6937 - accuracy: 0.5284
273/338 [=======================>......] - ETA: 3s - loss: 0.6936 - accuracy: 0.5283
274/338 [=======================>......] - ETA: 3s - loss: 0.6936 - accuracy: 0.5284
275/338 [=======================>......] - ETA: 3s - loss: 0.6936 - accuracy: 0.5285
276/338 [=======================>......] - ETA: 3s - loss: 0.6936 - accuracy: 0.5288
278/338 [=======================>......] - ETA: 3s - loss: 0.6936 - accuracy: 0.5286
279/338 [=======================>......] - ETA: 3s - loss: 0.6935 - accuracy: 0.5288
280/338 [=======================>......] - ETA: 2s - loss: 0.6935 - accuracy: 0.5286
281/338 [=======================>......] - ETA: 2s - loss: 0.6936 - accuracy: 0.5279
282/338 [========================>.....] - ETA: 2s - loss: 0.6936 - accuracy: 0.5276
283/338 [========================>.....] - ETA: 2s - loss: 0.6936 - accuracy: 0.5277
284/338 [========================>.....] - ETA: 2s - loss: 0.6936 - accuracy: 0.5273
285/338 [========================>.....] - ETA: 2s - loss: 0.6936 - accuracy: 0.5273
286/338 [========================>.....] - ETA: 2s - loss: 0.6936 - accuracy: 0.5272
287/338 [========================>.....] - ETA: 2s - loss: 0.6935 - accuracy: 0.5280
288/338 [========================>.....] - ETA: 2s - loss: 0.6935 - accuracy: 0.5281
289/338 [========================>.....] - ETA: 2s - loss: 0.6934 - accuracy: 0.5284
290/338 [========================>.....] - ETA: 2s - loss: 0.6934 - accuracy: 0.5287
292/338 [========================>.....] - ETA: 2s - loss: 0.6933 - accuracy: 0.5292
294/338 [=========================>....] - ETA: 2s - loss: 0.6933 - accuracy: 0.5286
295/338 [=========================>....] - ETA: 2s - loss: 0.6933 - accuracy: 0.5286
296/338 [=========================>....] - ETA: 2s - loss: 0.6933 - accuracy: 0.5286
298/338 [=========================>....] - ETA: 2s - loss: 0.6933 - accuracy: 0.5284
299/338 [=========================>....] - ETA: 1s - loss: 0.6933 - accuracy: 0.5287
300/338 [=========================>....] - ETA: 1s - loss: 0.6933 - accuracy: 0.5288
301/338 [=========================>....] - ETA: 1s - loss: 0.6932 - accuracy: 0.5294
302/338 [=========================>....] - ETA: 1s - loss: 0.6932 - accuracy: 0.5289
303/338 [=========================>....] - ETA: 1s - loss: 0.6932 - accuracy: 0.5290
304/338 [=========================>....] - ETA: 1s - loss: 0.6932 - accuracy: 0.5290
305/338 [==========================>...] - ETA: 1s - loss: 0.6932 - accuracy: 0.5287
306/338 [==========================>...] - ETA: 1s - loss: 0.6932 - accuracy: 0.5282
307/338 [==========================>...] - ETA: 1s - loss: 0.6932 - accuracy: 0.5288
308/338 [==========================>...] - ETA: 1s - loss: 0.6932 - accuracy: 0.5287
310/338 [==========================>...] - ETA: 1s - loss: 0.6932 - accuracy: 0.5281
312/338 [==========================>...] - ETA: 1s - loss: 0.6932 - accuracy: 0.5277
314/338 [==========================>...] - ETA: 1s - loss: 0.6933 - accuracy: 0.5267
315/338 [==========================>...] - ETA: 1s - loss: 0.6933 - accuracy: 0.5265
316/338 [===========================>..] - ETA: 1s - loss: 0.6933 - accuracy: 0.5264
318/338 [===========================>..] - ETA: 1s - loss: 0.6932 - accuracy: 0.5272
319/338 [===========================>..] - ETA: 0s - loss: 0.6932 - accuracy: 0.5271
321/338 [===========================>..] - ETA: 0s - loss: 0.6932 - accuracy: 0.5270
322/338 [===========================>..] - ETA: 0s - loss: 0.6932 - accuracy: 0.5269
323/338 [===========================>..] - ETA: 0s - loss: 0.6932 - accuracy: 0.5267
324/338 [===========================>..] - ETA: 0s - loss: 0.6931 - accuracy: 0.5270
325/338 [===========================>..] - ETA: 0s - loss: 0.6931 - accuracy: 0.5272
326/338 [===========================>..] - ETA: 0s - loss: 0.6931 - accuracy: 0.5272
327/338 [============================>.] - ETA: 0s - loss: 0.6931 - accuracy: 0.5270
328/338 [============================>.] - ETA: 0s - loss: 0.6931 - accuracy: 0.5268
329/338 [============================>.] - ETA: 0s - loss: 0.6931 - accuracy: 0.5269
330/338 [============================>.] - ETA: 0s - loss: 0.6931 - accuracy: 0.5269
331/338 [============================>.] - ETA: 0s - loss: 0.6930 - accuracy: 0.5271
332/338 [============================>.] - ETA: 0s - loss: 0.6930 - accuracy: 0.5277
333/338 [============================>.] - ETA: 0s - loss: 0.6930 - accuracy: 0.5274
334/338 [============================>.] - ETA: 0s - loss: 0.6930 - accuracy: 0.5272
335/338 [============================>.] - ETA: 0s - loss: 0.6930 - accuracy: 0.5273
336/338 [============================>.] - ETA: 0s - loss: 0.6930 - accuracy: 0.5274
337/338 [============================>.] - ETA: 0s - loss: 0.6930 - accuracy: 0.5272
338/338 [==============================] - 21s 59ms/step - loss: 0.6930 - accuracy: 0.5271 - val_loss: 0.6900 - val_accuracy: 0.5235
Epoch 2/5
1/338 [..............................] - ETA: 16s - loss: 0.6968 - accuracy: 0.4375
3/338 [..............................] - ETA: 16s - loss: 0.6924 - accuracy: 0.5104
5/338 [..............................] - ETA: 16s - loss: 0.6935 - accuracy: 0.4938
7/338 [..............................] - ETA: 16s - loss: 0.6944 - accuracy: 0.4821
9/338 [..............................] - ETA: 16s - loss: 0.6936 - accuracy: 0.4896
10/338 [..............................] - ETA: 16s - loss: 0.6932 - accuracy: 0.4938
12/338 [>.............................] - ETA: 16s - loss: 0.6930 - accuracy: 0.4896
13/338 [>.............................] - ETA: 16s - loss: 0.6919 - accuracy: 0.5024
14/338 [>.............................] - ETA: 16s - loss: 0.6909 - accuracy: 0.5112
15/338 [>.............................] - ETA: 16s - loss: 0.6916 - accuracy: 0.5042
16/338 [>.............................] - ETA: 16s - loss: 0.6916 - accuracy: 0.5039
17/338 [>.............................] - ETA: 16s - loss: 0.6912 - accuracy: 0.5092
18/338 [>.............................] - ETA: 16s - loss: 0.6912 - accuracy: 0.5052
19/338 [>.............................] - ETA: 16s - loss: 0.6916 - accuracy: 0.5016
20/338 [>.............................] - ETA: 16s - loss: 0.6922 - accuracy: 0.4938
21/338 [>.............................] - ETA: 16s - loss: 0.6921 - accuracy: 0.4970
22/338 [>.............................] - ETA: 16s - loss: 0.6919 - accuracy: 0.5000
23/338 [=>............................] - ETA: 16s - loss: 0.6919 - accuracy: 0.4986
24/338 [=>............................] - ETA: 16s - loss: 0.6917 - accuracy: 0.5000
25/338 [=>............................] - ETA: 16s - loss: 0.6917 - accuracy: 0.5000
26/338 [=>............................] - ETA: 16s - loss: 0.6911 - accuracy: 0.5048
27/338 [=>............................] - ETA: 15s - loss: 0.6911 - accuracy: 0.5023
28/338 [=>............................] - ETA: 15s - loss: 0.6914 - accuracy: 0.5011
29/338 [=>............................] - ETA: 15s - loss: 0.6911 - accuracy: 0.5022
30/338 [=>............................] - ETA: 15s - loss: 0.6908 - accuracy: 0.5042
31/338 [=>............................] - ETA: 15s - loss: 0.6903 - accuracy: 0.5111
33/338 [=>............................] - ETA: 15s - loss: 0.6910 - accuracy: 0.5047
34/338 [==>...........................] - ETA: 15s - loss: 0.6909 - accuracy: 0.5064
35/338 [==>...........................] - ETA: 15s - loss: 0.6907 - accuracy: 0.5080
36/338 [==>...........................] - ETA: 15s - loss: 0.6908 - accuracy: 0.5061
37/338 [==>...........................] - ETA: 15s - loss: 0.6906 - accuracy: 0.5093
38/338 [==>...........................] - ETA: 15s - loss: 0.6902 - accuracy: 0.5140
40/338 [==>...........................] - ETA: 15s - loss: 0.6904 - accuracy: 0.5102
41/338 [==>...........................] - ETA: 15s - loss: 0.6904 - accuracy: 0.5091
42/338 [==>...........................] - ETA: 15s - loss: 0.6904 - accuracy: 0.5097
44/338 [==>...........................] - ETA: 15s - loss: 0.6903 - accuracy: 0.5099
45/338 [==>...........................] - ETA: 14s - loss: 0.6901 - accuracy: 0.5125
47/338 [===>..........................] - ETA: 14s - loss: 0.6898 - accuracy: 0.5140
48/338 [===>..........................] - ETA: 14s - loss: 0.6894 - accuracy: 0.5163
49/338 [===>..........................] - ETA: 14s - loss: 0.6894 - accuracy: 0.5166
50/338 [===>..........................] - ETA: 14s - loss: 0.6893 - accuracy: 0.5181
52/338 [===>..........................] - ETA: 14s - loss: 0.6892 - accuracy: 0.5216
53/338 [===>..........................] - ETA: 14s - loss: 0.6889 - accuracy: 0.5242
54/338 [===>..........................] - ETA: 14s - loss: 0.6891 - accuracy: 0.5226
55/338 [===>..........................] - ETA: 14s - loss: 0.6890 - accuracy: 0.5239
57/338 [====>.........................] - ETA: 14s - loss: 0.6887 - accuracy: 0.5280
58/338 [====>.........................] - ETA: 14s - loss: 0.6886 - accuracy: 0.5280
59/338 [====>.........................] - ETA: 14s - loss: 0.6887 - accuracy: 0.5265
60/338 [====>.........................] - ETA: 14s - loss: 0.6887 - accuracy: 0.5266
62/338 [====>.........................] - ETA: 14s - loss: 0.6890 - accuracy: 0.5242
63/338 [====>.........................] - ETA: 14s - loss: 0.6889 - accuracy: 0.5238
64/338 [====>.........................] - ETA: 13s - loss: 0.6888 - accuracy: 0.5254
66/338 [====>.........................] - ETA: 13s - loss: 0.6892 - accuracy: 0.5223
67/338 [====>.........................] - ETA: 13s - loss: 0.6894 - accuracy: 0.5215
68/338 [=====>........................] - ETA: 13s - loss: 0.6893 - accuracy: 0.5216
70/338 [=====>........................] - ETA: 13s - loss: 0.6896 - accuracy: 0.5188
71/338 [=====>........................] - ETA: 13s - loss: 0.6894 - accuracy: 0.5189
72/338 [=====>........................] - ETA: 13s - loss: 0.6895 - accuracy: 0.5178
74/338 [=====>........................] - ETA: 13s - loss: 0.6895 - accuracy: 0.5173
75/338 [=====>........................] - ETA: 13s - loss: 0.6895 - accuracy: 0.5171
77/338 [=====>........................] - ETA: 13s - loss: 0.6894 - accuracy: 0.5183
78/338 [=====>........................] - ETA: 13s - loss: 0.6893 - accuracy: 0.5192
79/338 [======>.......................] - ETA: 13s - loss: 0.6892 - accuracy: 0.5190
80/338 [======>.......................] - ETA: 13s - loss: 0.6893 - accuracy: 0.5180
82/338 [======>.......................] - ETA: 13s - loss: 0.6891 - accuracy: 0.5198
83/338 [======>.......................] - ETA: 12s - loss: 0.6890 - accuracy: 0.5207
84/338 [======>.......................] - ETA: 12s - loss: 0.6890 - accuracy: 0.5216
85/338 [======>.......................] - ETA: 12s - loss: 0.6891 - accuracy: 0.5210
86/338 [======>.......................] - ETA: 12s - loss: 0.6892 - accuracy: 0.5211
88/338 [======>.......................] - ETA: 12s - loss: 0.6892 - accuracy: 0.5206
89/338 [======>.......................] - ETA: 12s - loss: 0.6893 - accuracy: 0.5204
90/338 [======>.......................] - ETA: 12s - loss: 0.6891 - accuracy: 0.5222
91/338 [=======>......................] - ETA: 12s - loss: 0.6889 - accuracy: 0.5234
93/338 [=======>......................] - ETA: 12s - loss: 0.6887 - accuracy: 0.5239
94/338 [=======>......................] - ETA: 12s - loss: 0.6886 - accuracy: 0.5263
96/338 [=======>......................] - ETA: 12s - loss: 0.6885 - accuracy: 0.5257
97/338 [=======>......................] - ETA: 12s - loss: 0.6885 - accuracy: 0.5267
98/338 [=======>......................] - ETA: 12s - loss: 0.6884 - accuracy: 0.5274
99/338 [=======>......................] - ETA: 12s - loss: 0.6883 - accuracy: 0.5284
100/338 [=======>......................] - ETA: 12s - loss: 0.6882 - accuracy: 0.5288
101/338 [=======>......................] - ETA: 12s - loss: 0.6882 - accuracy: 0.5291
103/338 [========>.....................] - ETA: 11s - loss: 0.6881 - accuracy: 0.5294
104/338 [========>.....................] - ETA: 11s - loss: 0.6882 - accuracy: 0.5279
106/338 [========>.....................] - ETA: 11s - loss: 0.6881 - accuracy: 0.5289
107/338 [========>.....................] - ETA: 11s - loss: 0.6881 - accuracy: 0.5289
108/338 [========>.....................] - ETA: 11s - loss: 0.6881 - accuracy: 0.5281
109/338 [========>.....................] - ETA: 11s - loss: 0.6880 - accuracy: 0.5284
110/338 [========>.....................] - ETA: 11s - loss: 0.6881 - accuracy: 0.5276
111/338 [========>.....................] - ETA: 11s - loss: 0.6880 - accuracy: 0.5276
112/338 [========>.....................] - ETA: 11s - loss: 0.6881 - accuracy: 0.5271
113/338 [=========>....................] - ETA: 11s - loss: 0.6880 - accuracy: 0.5274
115/338 [=========>....................] - ETA: 11s - loss: 0.6879 - accuracy: 0.5285
116/338 [=========>....................] - ETA: 11s - loss: 0.6879 - accuracy: 0.5283
117/338 [=========>....................] - ETA: 11s - loss: 0.6878 - accuracy: 0.5291
118/338 [=========>....................] - ETA: 11s - loss: 0.6877 - accuracy: 0.5299
119/338 [=========>....................] - ETA: 11s - loss: 0.6878 - accuracy: 0.5294
120/338 [=========>....................] - ETA: 11s - loss: 0.6878 - accuracy: 0.5294
121/338 [=========>....................] - ETA: 11s - loss: 0.6877 - accuracy: 0.5297
123/338 [=========>....................] - ETA: 10s - loss: 0.6878 - accuracy: 0.5282
125/338 [==========>...................] - ETA: 10s - loss: 0.6879 - accuracy: 0.5275
127/338 [==========>...................] - ETA: 10s - loss: 0.6876 - accuracy: 0.5293
128/338 [==========>...................] - ETA: 10s - loss: 0.6875 - accuracy: 0.5303
129/338 [==========>...................] - ETA: 10s - loss: 0.6874 - accuracy: 0.5312
131/338 [==========>...................] - ETA: 10s - loss: 0.6874 - accuracy: 0.5301
132/338 [==========>...................] - ETA: 10s - loss: 0.6876 - accuracy: 0.5291
134/338 [==========>...................] - ETA: 10s - loss: 0.6876 - accuracy: 0.5285
135/338 [==========>...................] - ETA: 10s - loss: 0.6876 - accuracy: 0.5278
136/338 [===========>..................] - ETA: 10s - loss: 0.6876 - accuracy: 0.5283
138/338 [===========>..................] - ETA: 10s - loss: 0.6874 - accuracy: 0.5288
140/338 [===========>..................] - ETA: 10s - loss: 0.6874 - accuracy: 0.5292
142/338 [===========>..................] - ETA: 10s - loss: 0.6874 - accuracy: 0.5284
143/338 [===========>..................] - ETA: 9s - loss: 0.6875 - accuracy: 0.5278
144/338 [===========>..................] - ETA: 9s - loss: 0.6875 - accuracy: 0.5276
145/338 [===========>..................] - ETA: 9s - loss: 0.6876 - accuracy: 0.5274
146/338 [===========>..................] - ETA: 9s - loss: 0.6875 - accuracy: 0.5274
147/338 [============>.................] - ETA: 9s - loss: 0.6873 - accuracy: 0.5285
148/338 [============>.................] - ETA: 9s - loss: 0.6872 - accuracy: 0.5289
149/338 [============>.................] - ETA: 9s - loss: 0.6872 - accuracy: 0.5283
151/338 [============>.................] - ETA: 9s - loss: 0.6871 - accuracy: 0.5290
152/338 [============>.................] - ETA: 9s - loss: 0.6870 - accuracy: 0.5296
153/338 [============>.................] - ETA: 9s - loss: 0.6871 - accuracy: 0.5290
155/338 [============>.................] - ETA: 9s - loss: 0.6869 - accuracy: 0.5306
156/338 [============>.................] - ETA: 9s - loss: 0.6869 - accuracy: 0.5308
157/338 [============>.................] - ETA: 9s - loss: 0.6869 - accuracy: 0.5311
159/338 [=============>................] - ETA: 9s - loss: 0.6868 - accuracy: 0.5318
160/338 [=============>................] - ETA: 9s - loss: 0.6869 - accuracy: 0.5309
161/338 [=============>................] - ETA: 9s - loss: 0.6871 - accuracy: 0.5297
162/338 [=============>................] - ETA: 8s - loss: 0.6869 - accuracy: 0.5305
164/338 [=============>................] - ETA: 8s - loss: 0.6869 - accuracy: 0.5299
166/338 [=============>................] - ETA: 8s - loss: 0.6871 - accuracy: 0.5290
167/338 [=============>................] - ETA: 8s - loss: 0.6870 - accuracy: 0.5296
168/338 [=============>................] - ETA: 8s - loss: 0.6869 - accuracy: 0.5296
170/338 [==============>...............] - ETA: 8s - loss: 0.6870 - accuracy: 0.5287
171/338 [==============>...............] - ETA: 8s - loss: 0.6871 - accuracy: 0.5281
172/338 [==============>...............] - ETA: 8s - loss: 0.6871 - accuracy: 0.5276
173/338 [==============>...............] - ETA: 8s - loss: 0.6872 - accuracy: 0.5273
174/338 [==============>...............] - ETA: 8s - loss: 0.6872 - accuracy: 0.5264
175/338 [==============>...............] - ETA: 8s - loss: 0.6871 - accuracy: 0.5270
177/338 [==============>...............] - ETA: 8s - loss: 0.6871 - accuracy: 0.5258
178/338 [==============>...............] - ETA: 8s - loss: 0.6871 - accuracy: 0.5253
179/338 [==============>...............] - ETA: 8s - loss: 0.6871 - accuracy: 0.5253
180/338 [==============>...............] - ETA: 8s - loss: 0.6872 - accuracy: 0.5245
181/338 [===============>..............] - ETA: 7s - loss: 0.6872 - accuracy: 0.5247
183/338 [===============>..............] - ETA: 7s - loss: 0.6872 - accuracy: 0.5244
184/338 [===============>..............] - ETA: 7s - loss: 0.6872 - accuracy: 0.5239
185/338 [===============>..............] - ETA: 7s - loss: 0.6873 - accuracy: 0.5242
186/338 [===============>..............] - ETA: 7s - loss: 0.6872 - accuracy: 0.5245
188/338 [===============>..............] - ETA: 7s - loss: 0.6872 - accuracy: 0.5258
190/338 [===============>..............] - ETA: 7s - loss: 0.6872 - accuracy: 0.5255
191/338 [===============>..............] - ETA: 7s - loss: 0.6872 - accuracy: 0.5263
192/338 [================>.............] - ETA: 7s - loss: 0.6872 - accuracy: 0.5265
193/338 [================>.............] - ETA: 7s - loss: 0.6872 - accuracy: 0.5267
194/338 [================>.............] - ETA: 7s - loss: 0.6872 - accuracy: 0.5267
195/338 [================>.............] - ETA: 7s - loss: 0.6871 - accuracy: 0.5274
196/338 [================>.............] - ETA: 7s - loss: 0.6871 - accuracy: 0.5279
197/338 [================>.............] - ETA: 7s - loss: 0.6870 - accuracy: 0.5284
198/338 [================>.............] - ETA: 7s - loss: 0.6870 - accuracy: 0.5286
199/338 [================>.............] - ETA: 7s - loss: 0.6870 - accuracy: 0.5289
201/338 [================>.............] - ETA: 6s - loss: 0.6870 - accuracy: 0.5294
202/338 [================>.............] - ETA: 6s - loss: 0.6870 - accuracy: 0.5299
204/338 [=================>............] - ETA: 6s - loss: 0.6869 - accuracy: 0.5306
206/338 [=================>............] - ETA: 6s - loss: 0.6869 - accuracy: 0.5303
207/338 [=================>............] - ETA: 6s - loss: 0.6869 - accuracy: 0.5305
208/338 [=================>............] - ETA: 6s - loss: 0.6870 - accuracy: 0.5300
209/338 [=================>............] - ETA: 6s - loss: 0.6871 - accuracy: 0.5298
211/338 [=================>............] - ETA: 6s - loss: 0.6871 - accuracy: 0.5296
212/338 [=================>............] - ETA: 6s - loss: 0.6872 - accuracy: 0.5289
213/338 [=================>............] - ETA: 6s - loss: 0.6871 - accuracy: 0.5289
215/338 [==================>...........] - ETA: 6s - loss: 0.6872 - accuracy: 0.5285
217/338 [==================>...........] - ETA: 6s - loss: 0.6871 - accuracy: 0.5287
218/338 [==================>...........] - ETA: 6s - loss: 0.6872 - accuracy: 0.5277
219/338 [==================>...........] - ETA: 6s - loss: 0.6872 - accuracy: 0.5280
220/338 [==================>...........] - ETA: 5s - loss: 0.6870 - accuracy: 0.5286
221/338 [==================>...........] - ETA: 5s - loss: 0.6870 - accuracy: 0.5286
222/338 [==================>...........] - ETA: 5s - loss: 0.6870 - accuracy: 0.5280
223/338 [==================>...........] - ETA: 5s - loss: 0.6869 - accuracy: 0.5291
224/338 [==================>...........] - ETA: 5s - loss: 0.6869 - accuracy: 0.5294
225/338 [==================>...........] - ETA: 5s - loss: 0.6868 - accuracy: 0.5299
226/338 [===================>..........] - ETA: 5s - loss: 0.6867 - accuracy: 0.5304
227/338 [===================>..........] - ETA: 5s - loss: 0.6866 - accuracy: 0.5310
228/338 [===================>..........] - ETA: 5s - loss: 0.6866 - accuracy: 0.5311
229/338 [===================>..........] - ETA: 5s - loss: 0.6866 - accuracy: 0.5315
230/338 [===================>..........] - ETA: 5s - loss: 0.6865 - accuracy: 0.5322
231/338 [===================>..........] - ETA: 5s - loss: 0.6865 - accuracy: 0.5319
232/338 [===================>..........] - ETA: 5s - loss: 0.6865 - accuracy: 0.5326
233/338 [===================>..........] - ETA: 5s - loss: 0.6865 - accuracy: 0.5323
234/338 [===================>..........] - ETA: 5s - loss: 0.6865 - accuracy: 0.5331
235/338 [===================>..........] - ETA: 5s - loss: 0.6864 - accuracy: 0.5334
236/338 [===================>..........] - ETA: 5s - loss: 0.6864 - accuracy: 0.5342
237/338 [====================>.........] - ETA: 5s - loss: 0.6864 - accuracy: 0.5344
239/338 [====================>.........] - ETA: 5s - loss: 0.6865 - accuracy: 0.5346
240/338 [====================>.........] - ETA: 4s - loss: 0.6865 - accuracy: 0.5340
242/338 [====================>.........] - ETA: 4s - loss: 0.6865 - accuracy: 0.5338
244/338 [====================>.........] - ETA: 4s - loss: 0.6864 - accuracy: 0.5338
246/338 [====================>.........] - ETA: 4s - loss: 0.6864 - accuracy: 0.5337
247/338 [====================>.........] - ETA: 4s - loss: 0.6865 - accuracy: 0.5334
249/338 [=====================>........] - ETA: 4s - loss: 0.6864 - accuracy: 0.5335
250/338 [=====================>........] - ETA: 4s - loss: 0.6864 - accuracy: 0.5334
251/338 [=====================>........] - ETA: 4s - loss: 0.6863 - accuracy: 0.5339
252/338 [=====================>........] - ETA: 4s - loss: 0.6863 - accuracy: 0.5334
253/338 [=====================>........] - ETA: 4s - loss: 0.6862 - accuracy: 0.5340
255/338 [=====================>........] - ETA: 4s - loss: 0.6863 - accuracy: 0.5335
257/338 [=====================>........] - ETA: 4s - loss: 0.6864 - accuracy: 0.5331
258/338 [=====================>........] - ETA: 4s - loss: 0.6864 - accuracy: 0.5328
259/338 [=====================>........] - ETA: 4s - loss: 0.6864 - accuracy: 0.5322
261/338 [======================>.......] - ETA: 3s - loss: 0.6863 - accuracy: 0.5329
262/338 [======================>.......] - ETA: 3s - loss: 0.6864 - accuracy: 0.5328
263/338 [======================>.......] - ETA: 3s - loss: 0.6863 - accuracy: 0.5334
265/338 [======================>.......] - ETA: 3s - loss: 0.6863 - accuracy: 0.5337
267/338 [======================>.......] - ETA: 3s - loss: 0.6862 - accuracy: 0.5342
268/338 [======================>.......] - ETA: 3s - loss: 0.6862 - accuracy: 0.5338
270/338 [======================>.......] - ETA: 3s - loss: 0.6861 - accuracy: 0.5347
272/338 [=======================>......] - ETA: 3s - loss: 0.6862 - accuracy: 0.5347
273/338 [=======================>......] - ETA: 3s - loss: 0.6863 - accuracy: 0.5348
274/338 [=======================>......] - ETA: 3s - loss: 0.6863 - accuracy: 0.5350
275/338 [=======================>......] - ETA: 3s - loss: 0.6863 - accuracy: 0.5355
277/338 [=======================>......] - ETA: 3s - loss: 0.6863 - accuracy: 0.5353
278/338 [=======================>......] - ETA: 3s - loss: 0.6863 - accuracy: 0.5357
279/338 [=======================>......] - ETA: 2s - loss: 0.6863 - accuracy: 0.5362
280/338 [=======================>......] - ETA: 2s - loss: 0.6862 - accuracy: 0.5365
281/338 [=======================>......] - ETA: 2s - loss: 0.6862 - accuracy: 0.5366
282/338 [========================>.....] - ETA: 2s - loss: 0.6862 - accuracy: 0.5366
283/338 [========================>.....] - ETA: 2s - loss: 0.6862 - accuracy: 0.5371
284/338 [========================>.....] - ETA: 2s - loss: 0.6861 - accuracy: 0.5377
285/338 [========================>.....] - ETA: 2s - loss: 0.6861 - accuracy: 0.5382
286/338 [========================>.....] - ETA: 2s - loss: 0.6861 - accuracy: 0.5385
288/338 [========================>.....] - ETA: 2s - loss: 0.6861 - accuracy: 0.5390
289/338 [========================>.....] - ETA: 2s - loss: 0.6861 - accuracy: 0.5388
291/338 [========================>.....] - ETA: 2s - loss: 0.6862 - accuracy: 0.5382
292/338 [========================>.....] - ETA: 2s - loss: 0.6862 - accuracy: 0.5384
293/338 [=========================>....] - ETA: 2s - loss: 0.6861 - accuracy: 0.5389
294/338 [=========================>....] - ETA: 2s - loss: 0.6861 - accuracy: 0.5389
295/338 [=========================>....] - ETA: 2s - loss: 0.6862 - accuracy: 0.5389
297/338 [=========================>....] - ETA: 2s - loss: 0.6861 - accuracy: 0.5394
298/338 [=========================>....] - ETA: 2s - loss: 0.6862 - accuracy: 0.5391
299/338 [=========================>....] - ETA: 1s - loss: 0.6861 - accuracy: 0.5396
300/338 [=========================>....] - ETA: 1s - loss: 0.6860 - accuracy: 0.5400
301/338 [=========================>....] - ETA: 1s - loss: 0.6860 - accuracy: 0.5401
302/338 [=========================>....] - ETA: 1s - loss: 0.6860 - accuracy: 0.5405
304/338 [=========================>....] - ETA: 1s - loss: 0.6860 - accuracy: 0.5411
305/338 [==========================>...] - ETA: 1s - loss: 0.6860 - accuracy: 0.5414
306/338 [==========================>...] - ETA: 1s - loss: 0.6859 - accuracy: 0.5419
308/338 [==========================>...] - ETA: 1s - loss: 0.6859 - accuracy: 0.5422
309/338 [==========================>...] - ETA: 1s - loss: 0.6859 - accuracy: 0.5422
310/338 [==========================>...] - ETA: 1s - loss: 0.6860 - accuracy: 0.5420
311/338 [==========================>...] - ETA: 1s - loss: 0.6860 - accuracy: 0.5424
313/338 [==========================>...] - ETA: 1s - loss: 0.6859 - accuracy: 0.5427
315/338 [==========================>...] - ETA: 1s - loss: 0.6858 - accuracy: 0.5433
316/338 [===========================>..] - ETA: 1s - loss: 0.6858 - accuracy: 0.5433
317/338 [===========================>..] - ETA: 1s - loss: 0.6859 - accuracy: 0.5429
319/338 [===========================>..] - ETA: 0s - loss: 0.6857 - accuracy: 0.5441
321/338 [===========================>..] - ETA: 0s - loss: 0.6857 - accuracy: 0.5446
323/338 [===========================>..] - ETA: 0s - loss: 0.6858 - accuracy: 0.5441
324/338 [===========================>..] - ETA: 0s - loss: 0.6858 - accuracy: 0.5442
325/338 [===========================>..] - ETA: 0s - loss: 0.6857 - accuracy: 0.5445
326/338 [===========================>..] - ETA: 0s - loss: 0.6857 - accuracy: 0.5448
327/338 [============================>.] - ETA: 0s - loss: 0.6857 - accuracy: 0.5450
329/338 [============================>.] - ETA: 0s - loss: 0.6856 - accuracy: 0.5458
330/338 [============================>.] - ETA: 0s - loss: 0.6856 - accuracy: 0.5462
331/338 [============================>.] - ETA: 0s - loss: 0.6857 - accuracy: 0.5463
332/338 [============================>.] - ETA: 0s - loss: 0.6856 - accuracy: 0.5466
333/338 [============================>.] - ETA: 0s - loss: 0.6856 - accuracy: 0.5471
335/338 [============================>.] - ETA: 0s - loss: 0.6855 - accuracy: 0.5478
336/338 [============================>.] - ETA: 0s - loss: 0.6854 - accuracy: 0.5483
338/338 [==============================] - ETA: 0s - loss: 0.6855 - accuracy: 0.5481
338/338 [==============================] - 20s 58ms/step - loss: 0.6855 - accuracy: 0.5481 - val_loss: 0.6846 - val_accuracy: 0.6062
Epoch 3/5
1/338 [..............................] - ETA: 17s - loss: 0.6678 - accuracy: 0.5938
2/338 [..............................] - ETA: 17s - loss: 0.6789 - accuracy: 0.6094
3/338 [..............................] - ETA: 17s - loss: 0.6721 - accuracy: 0.6146
4/338 [..............................] - ETA: 17s - loss: 0.6729 - accuracy: 0.6250
5/338 [..............................] - ETA: 17s - loss: 0.6727 - accuracy: 0.6438
7/338 [..............................] - ETA: 16s - loss: 0.6742 - accuracy: 0.6384
9/338 [..............................] - ETA: 16s - loss: 0.6748 - accuracy: 0.6319
10/338 [..............................] - ETA: 16s - loss: 0.6764 - accuracy: 0.6250
11/338 [..............................] - ETA: 16s - loss: 0.6762 - accuracy: 0.6278
13/338 [>.............................] - ETA: 16s - loss: 0.6763 - accuracy: 0.6130
15/338 [>.............................] - ETA: 16s - loss: 0.6799 - accuracy: 0.5979
16/338 [>.............................] - ETA: 16s - loss: 0.6806 - accuracy: 0.5938
18/338 [>.............................] - ETA: 16s - loss: 0.6830 - accuracy: 0.5816
20/338 [>.............................] - ETA: 16s - loss: 0.6815 - accuracy: 0.5906
22/338 [>.............................] - ETA: 15s - loss: 0.6821 - accuracy: 0.5938
24/338 [=>............................] - ETA: 15s - loss: 0.6815 - accuracy: 0.5977
25/338 [=>............................] - ETA: 15s - loss: 0.6823 - accuracy: 0.5962
27/338 [=>............................] - ETA: 15s - loss: 0.6814 - accuracy: 0.6007
29/338 [=>............................] - ETA: 15s - loss: 0.6811 - accuracy: 0.6034
30/338 [=>............................] - ETA: 15s - loss: 0.6808 - accuracy: 0.6042
31/338 [=>............................] - ETA: 15s - loss: 0.6810 - accuracy: 0.6018
32/338 [=>............................] - ETA: 15s - loss: 0.6807 - accuracy: 0.6025
33/338 [=>............................] - ETA: 15s - loss: 0.6816 - accuracy: 0.5985
34/338 [==>...........................] - ETA: 15s - loss: 0.6831 - accuracy: 0.5919
35/338 [==>...........................] - ETA: 15s - loss: 0.6838 - accuracy: 0.5902
36/338 [==>...........................] - ETA: 15s - loss: 0.6840 - accuracy: 0.5894
37/338 [==>...........................] - ETA: 15s - loss: 0.6844 - accuracy: 0.5861
38/338 [==>...........................] - ETA: 15s - loss: 0.6847 - accuracy: 0.5847
39/338 [==>...........................] - ETA: 15s - loss: 0.6847 - accuracy: 0.5817
40/338 [==>...........................] - ETA: 15s - loss: 0.6846 - accuracy: 0.5828
41/338 [==>...........................] - ETA: 15s - loss: 0.6843 - accuracy: 0.5846
42/338 [==>...........................] - ETA: 15s - loss: 0.6840 - accuracy: 0.5871
43/338 [==>...........................] - ETA: 14s - loss: 0.6839 - accuracy: 0.5865
45/338 [==>...........................] - ETA: 14s - loss: 0.6839 - accuracy: 0.5868
46/338 [===>..........................] - ETA: 14s - loss: 0.6836 - accuracy: 0.5904
47/338 [===>..........................] - ETA: 14s - loss: 0.6839 - accuracy: 0.5878
48/338 [===>..........................] - ETA: 14s - loss: 0.6842 - accuracy: 0.5853
49/338 [===>..........................] - ETA: 14s - loss: 0.6844 - accuracy: 0.5848
51/338 [===>..........................] - ETA: 14s - loss: 0.6846 - accuracy: 0.5827
53/338 [===>..........................] - ETA: 14s - loss: 0.6843 - accuracy: 0.5837
54/338 [===>..........................] - ETA: 14s - loss: 0.6844 - accuracy: 0.5822
55/338 [===>..........................] - ETA: 14s - loss: 0.6841 - accuracy: 0.5824
57/338 [====>.........................] - ETA: 14s - loss: 0.6846 - accuracy: 0.5779
58/338 [====>.........................] - ETA: 14s - loss: 0.6846 - accuracy: 0.5765
60/338 [====>.........................] - ETA: 14s - loss: 0.6847 - accuracy: 0.5766
61/338 [====>.........................] - ETA: 14s - loss: 0.6849 - accuracy: 0.5748
62/338 [====>.........................] - ETA: 14s - loss: 0.6850 - accuracy: 0.5756
63/338 [====>.........................] - ETA: 14s - loss: 0.6850 - accuracy: 0.5754
64/338 [====>.........................] - ETA: 13s - loss: 0.6852 - accuracy: 0.5742
65/338 [====>.........................] - ETA: 13s - loss: 0.6851 - accuracy: 0.5755
66/338 [====>.........................] - ETA: 13s - loss: 0.6850 - accuracy: 0.5767
67/338 [====>.........................] - ETA: 13s - loss: 0.6851 - accuracy: 0.5765
68/338 [=====>........................] - ETA: 13s - loss: 0.6850 - accuracy: 0.5790
69/338 [=====>........................] - ETA: 13s - loss: 0.6850 - accuracy: 0.5788
70/338 [=====>........................] - ETA: 13s - loss: 0.6850 - accuracy: 0.5790
72/338 [=====>........................] - ETA: 13s - loss: 0.6855 - accuracy: 0.5773
73/338 [=====>........................] - ETA: 13s - loss: 0.6854 - accuracy: 0.5771
74/338 [=====>........................] - ETA: 13s - loss: 0.6852 - accuracy: 0.5781
75/338 [=====>........................] - ETA: 13s - loss: 0.6853 - accuracy: 0.5775
76/338 [=====>........................] - ETA: 13s - loss: 0.6853 - accuracy: 0.5765
78/338 [=====>........................] - ETA: 13s - loss: 0.6853 - accuracy: 0.5757
79/338 [======>.......................] - ETA: 13s - loss: 0.6852 - accuracy: 0.5752
81/338 [======>.......................] - ETA: 13s - loss: 0.6847 - accuracy: 0.5791
82/338 [======>.......................] - ETA: 13s - loss: 0.6847 - accuracy: 0.5796
83/338 [======>.......................] - ETA: 12s - loss: 0.6846 - accuracy: 0.5794
85/338 [======>.......................] - ETA: 12s - loss: 0.6843 - accuracy: 0.5813
86/338 [======>.......................] - ETA: 12s - loss: 0.6844 - accuracy: 0.5810
88/338 [======>.......................] - ETA: 12s - loss: 0.6843 - accuracy: 0.5817
89/338 [======>.......................] - ETA: 12s - loss: 0.6839 - accuracy: 0.5846
90/338 [======>.......................] - ETA: 12s - loss: 0.6840 - accuracy: 0.5837
91/338 [=======>......................] - ETA: 12s - loss: 0.6837 - accuracy: 0.5848
92/338 [=======>......................] - ETA: 12s - loss: 0.6834 - accuracy: 0.5866
94/338 [=======>......................] - ETA: 12s - loss: 0.6832 - accuracy: 0.5864
95/338 [=======>......................] - ETA: 12s - loss: 0.6829 - accuracy: 0.5882
96/338 [=======>......................] - ETA: 12s - loss: 0.6824 - accuracy: 0.5905
97/338 [=======>......................] - ETA: 12s - loss: 0.6825 - accuracy: 0.5905
98/338 [=======>......................] - ETA: 12s - loss: 0.6825 - accuracy: 0.5902
100/338 [=======>......................] - ETA: 12s - loss: 0.6827 - accuracy: 0.5900
101/338 [=======>......................] - ETA: 12s - loss: 0.6826 - accuracy: 0.5907
102/338 [========>.....................] - ETA: 11s - loss: 0.6830 - accuracy: 0.5895
103/338 [========>.....................] - ETA: 11s - loss: 0.6831 - accuracy: 0.5892
104/338 [========>.....................] - ETA: 11s - loss: 0.6832 - accuracy: 0.5880
105/338 [========>.....................] - ETA: 11s - loss: 0.6832 - accuracy: 0.5884
106/338 [========>.....................] - ETA: 11s - loss: 0.6833 - accuracy: 0.5879
107/338 [========>.....................] - ETA: 11s - loss: 0.6833 - accuracy: 0.5888
109/338 [========>.....................] - ETA: 11s - loss: 0.6832 - accuracy: 0.5892
111/338 [========>.....................] - ETA: 11s - loss: 0.6834 - accuracy: 0.5884
113/338 [=========>....................] - ETA: 11s - loss: 0.6835 - accuracy: 0.5885
114/338 [=========>....................] - ETA: 11s - loss: 0.6835 - accuracy: 0.5888
115/338 [=========>....................] - ETA: 11s - loss: 0.6834 - accuracy: 0.5886
116/338 [=========>....................] - ETA: 11s - loss: 0.6832 - accuracy: 0.5900
118/338 [=========>....................] - ETA: 11s - loss: 0.6829 - accuracy: 0.5906
119/338 [=========>....................] - ETA: 11s - loss: 0.6830 - accuracy: 0.5898
121/338 [=========>....................] - ETA: 11s - loss: 0.6833 - accuracy: 0.5886
122/338 [=========>....................] - ETA: 10s - loss: 0.6834 - accuracy: 0.5889
124/338 [==========>...................] - ETA: 10s - loss: 0.6831 - accuracy: 0.5895
126/338 [==========>...................] - ETA: 10s - loss: 0.6833 - accuracy: 0.5893
127/338 [==========>...................] - ETA: 10s - loss: 0.6833 - accuracy: 0.5886
128/338 [==========>...................] - ETA: 10s - loss: 0.6831 - accuracy: 0.5898
129/338 [==========>...................] - ETA: 10s - loss: 0.6832 - accuracy: 0.5896
130/338 [==========>...................] - ETA: 10s - loss: 0.6829 - accuracy: 0.5911
132/338 [==========>...................] - ETA: 10s - loss: 0.6828 - accuracy: 0.5921
133/338 [==========>...................] - ETA: 10s - loss: 0.6828 - accuracy: 0.5921
134/338 [==========>...................] - ETA: 10s - loss: 0.6828 - accuracy: 0.5921
135/338 [==========>...................] - ETA: 10s - loss: 0.6828 - accuracy: 0.5928
136/338 [===========>..................] - ETA: 10s - loss: 0.6829 - accuracy: 0.5926
138/338 [===========>..................] - ETA: 10s - loss: 0.6829 - accuracy: 0.5924
139/338 [===========>..................] - ETA: 10s - loss: 0.6828 - accuracy: 0.5929
141/338 [===========>..................] - ETA: 9s - loss: 0.6830 - accuracy: 0.5920
142/338 [===========>..................] - ETA: 9s - loss: 0.6832 - accuracy: 0.5911
144/338 [===========>..................] - ETA: 9s - loss: 0.6831 - accuracy: 0.5916
145/338 [===========>..................] - ETA: 9s - loss: 0.6829 - accuracy: 0.5918
146/338 [===========>..................] - ETA: 9s - loss: 0.6831 - accuracy: 0.5912
147/338 [============>.................] - ETA: 9s - loss: 0.6831 - accuracy: 0.5914
149/338 [============>.................] - ETA: 9s - loss: 0.6832 - accuracy: 0.5917
150/338 [============>.................] - ETA: 9s - loss: 0.6831 - accuracy: 0.5923
151/338 [============>.................] - ETA: 9s - loss: 0.6831 - accuracy: 0.5929
152/338 [============>.................] - ETA: 9s - loss: 0.6829 - accuracy: 0.5938
153/338 [============>.................] - ETA: 9s - loss: 0.6828 - accuracy: 0.5940
154/338 [============>.................] - ETA: 9s - loss: 0.6829 - accuracy: 0.5940
156/338 [============>.................] - ETA: 9s - loss: 0.6827 - accuracy: 0.5946
158/338 [=============>................] - ETA: 9s - loss: 0.6827 - accuracy: 0.5945
159/338 [=============>................] - ETA: 9s - loss: 0.6828 - accuracy: 0.5941
161/338 [=============>................] - ETA: 8s - loss: 0.6826 - accuracy: 0.5945
163/338 [=============>................] - ETA: 8s - loss: 0.6826 - accuracy: 0.5953
164/338 [=============>................] - ETA: 8s - loss: 0.6824 - accuracy: 0.5962
166/338 [=============>................] - ETA: 8s - loss: 0.6824 - accuracy: 0.5964
168/338 [=============>................] - ETA: 8s - loss: 0.6824 - accuracy: 0.5967
169/338 [==============>...............] - ETA: 8s - loss: 0.6824 - accuracy: 0.5969
170/338 [==============>...............] - ETA: 8s - loss: 0.6824 - accuracy: 0.5972
171/338 [==============>...............] - ETA: 8s - loss: 0.6824 - accuracy: 0.5972
173/338 [==============>...............] - ETA: 8s - loss: 0.6822 - accuracy: 0.5983
174/338 [==============>...............] - ETA: 8s - loss: 0.6820 - accuracy: 0.5993
176/338 [==============>...............] - ETA: 8s - loss: 0.6817 - accuracy: 0.6007
178/338 [==============>...............] - ETA: 8s - loss: 0.6815 - accuracy: 0.6013
180/338 [==============>...............] - ETA: 8s - loss: 0.6815 - accuracy: 0.6014
181/338 [===============>..............] - ETA: 7s - loss: 0.6814 - accuracy: 0.6020
182/338 [===============>..............] - ETA: 7s - loss: 0.6813 - accuracy: 0.6027
183/338 [===============>..............] - ETA: 7s - loss: 0.6812 - accuracy: 0.6023
184/338 [===============>..............] - ETA: 7s - loss: 0.6813 - accuracy: 0.6022
185/338 [===============>..............] - ETA: 7s - loss: 0.6813 - accuracy: 0.6020
186/338 [===============>..............] - ETA: 7s - loss: 0.6813 - accuracy: 0.6022
187/338 [===============>..............] - ETA: 7s - loss: 0.6814 - accuracy: 0.6019
188/338 [===============>..............] - ETA: 7s - loss: 0.6813 - accuracy: 0.6019
189/338 [===============>..............] - ETA: 7s - loss: 0.6813 - accuracy: 0.6017
191/338 [===============>..............] - ETA: 7s - loss: 0.6813 - accuracy: 0.6019
192/338 [================>.............] - ETA: 7s - loss: 0.6812 - accuracy: 0.6021
193/338 [================>.............] - ETA: 7s - loss: 0.6813 - accuracy: 0.6018
195/338 [================>.............] - ETA: 7s - loss: 0.6812 - accuracy: 0.6019
197/338 [================>.............] - ETA: 7s - loss: 0.6811 - accuracy: 0.6020
198/338 [================>.............] - ETA: 7s - loss: 0.6810 - accuracy: 0.6023
200/338 [================>.............] - ETA: 6s - loss: 0.6809 - accuracy: 0.6031
201/338 [================>.............] - ETA: 6s - loss: 0.6810 - accuracy: 0.6028
202/338 [================>.............] - ETA: 6s - loss: 0.6809 - accuracy: 0.6033
203/338 [=================>............] - ETA: 6s - loss: 0.6808 - accuracy: 0.6038
205/338 [=================>............] - ETA: 6s - loss: 0.6810 - accuracy: 0.6034
206/338 [=================>............] - ETA: 6s - loss: 0.6809 - accuracy: 0.6039
207/338 [=================>............] - ETA: 6s - loss: 0.6809 - accuracy: 0.6037
209/338 [=================>............] - ETA: 6s - loss: 0.6808 - accuracy: 0.6038
210/338 [=================>............] - ETA: 6s - loss: 0.6809 - accuracy: 0.6036
212/338 [=================>............] - ETA: 6s - loss: 0.6810 - accuracy: 0.6030
214/338 [=================>............] - ETA: 6s - loss: 0.6809 - accuracy: 0.6029
216/338 [==================>...........] - ETA: 6s - loss: 0.6807 - accuracy: 0.6034
217/338 [==================>...........] - ETA: 6s - loss: 0.6806 - accuracy: 0.6038
218/338 [==================>...........] - ETA: 6s - loss: 0.6806 - accuracy: 0.6036
219/338 [==================>...........] - ETA: 6s - loss: 0.6805 - accuracy: 0.6040
220/338 [==================>...........] - ETA: 5s - loss: 0.6806 - accuracy: 0.6040
222/338 [==================>...........] - ETA: 5s - loss: 0.6807 - accuracy: 0.6033
224/338 [==================>...........] - ETA: 5s - loss: 0.6808 - accuracy: 0.6021
225/338 [==================>...........] - ETA: 5s - loss: 0.6808 - accuracy: 0.6019
227/338 [===================>..........] - ETA: 5s - loss: 0.6807 - accuracy: 0.6019
229/338 [===================>..........] - ETA: 5s - loss: 0.6805 - accuracy: 0.6032
231/338 [===================>..........] - ETA: 5s - loss: 0.6803 - accuracy: 0.6035
233/338 [===================>..........] - ETA: 5s - loss: 0.6800 - accuracy: 0.6046
235/338 [===================>..........] - ETA: 5s - loss: 0.6798 - accuracy: 0.6052
237/338 [====================>.........] - ETA: 5s - loss: 0.6798 - accuracy: 0.6054
239/338 [====================>.........] - ETA: 5s - loss: 0.6797 - accuracy: 0.6058
241/338 [====================>.........] - ETA: 4s - loss: 0.6799 - accuracy: 0.6053
242/338 [====================>.........] - ETA: 4s - loss: 0.6798 - accuracy: 0.6058
243/338 [====================>.........] - ETA: 4s - loss: 0.6798 - accuracy: 0.6056
245/338 [====================>.........] - ETA: 4s - loss: 0.6797 - accuracy: 0.6061
247/338 [====================>.........] - ETA: 4s - loss: 0.6797 - accuracy: 0.6060
248/338 [=====================>........] - ETA: 4s - loss: 0.6798 - accuracy: 0.6057
250/338 [=====================>........] - ETA: 4s - loss: 0.6799 - accuracy: 0.6055
251/338 [=====================>........] - ETA: 4s - loss: 0.6799 - accuracy: 0.6055
252/338 [=====================>........] - ETA: 4s - loss: 0.6800 - accuracy: 0.6055
254/338 [=====================>........] - ETA: 4s - loss: 0.6801 - accuracy: 0.6051
255/338 [=====================>........] - ETA: 4s - loss: 0.6801 - accuracy: 0.6048
257/338 [=====================>........] - ETA: 4s - loss: 0.6801 - accuracy: 0.6046
258/338 [=====================>........] - ETA: 4s - loss: 0.6800 - accuracy: 0.6050
260/338 [======================>.......] - ETA: 3s - loss: 0.6800 - accuracy: 0.6054
262/338 [======================>.......] - ETA: 3s - loss: 0.6799 - accuracy: 0.6058
264/338 [======================>.......] - ETA: 3s - loss: 0.6798 - accuracy: 0.6063
266/338 [======================>.......] - ETA: 3s - loss: 0.6796 - accuracy: 0.6066
267/338 [======================>.......] - ETA: 3s - loss: 0.6797 - accuracy: 0.6060
269/338 [======================>.......] - ETA: 3s - loss: 0.6795 - accuracy: 0.6069
270/338 [======================>.......] - ETA: 3s - loss: 0.6795 - accuracy: 0.6065
272/338 [=======================>......] - ETA: 3s - loss: 0.6793 - accuracy: 0.6072
273/338 [=======================>......] - ETA: 3s - loss: 0.6793 - accuracy: 0.6070
274/338 [=======================>......] - ETA: 3s - loss: 0.6793 - accuracy: 0.6071
275/338 [=======================>......] - ETA: 3s - loss: 0.6792 - accuracy: 0.6073
277/338 [=======================>......] - ETA: 3s - loss: 0.6793 - accuracy: 0.6071
278/338 [=======================>......] - ETA: 3s - loss: 0.6794 - accuracy: 0.6068
280/338 [=======================>......] - ETA: 2s - loss: 0.6794 - accuracy: 0.6068
281/338 [=======================>......] - ETA: 2s - loss: 0.6793 - accuracy: 0.6072
282/338 [========================>.....] - ETA: 2s - loss: 0.6793 - accuracy: 0.6073
284/338 [========================>.....] - ETA: 2s - loss: 0.6793 - accuracy: 0.6075
286/338 [========================>.....] - ETA: 2s - loss: 0.6792 - accuracy: 0.6080
287/338 [========================>.....] - ETA: 2s - loss: 0.6792 - accuracy: 0.6079
288/338 [========================>.....] - ETA: 2s - loss: 0.6792 - accuracy: 0.6077
289/338 [========================>.....] - ETA: 2s - loss: 0.6792 - accuracy: 0.6080
290/338 [========================>.....] - ETA: 2s - loss: 0.6791 - accuracy: 0.6082
292/338 [========================>.....] - ETA: 2s - loss: 0.6791 - accuracy: 0.6086
294/338 [=========================>....] - ETA: 2s - loss: 0.6790 - accuracy: 0.6088
295/338 [=========================>....] - ETA: 2s - loss: 0.6788 - accuracy: 0.6095
297/338 [=========================>....] - ETA: 2s - loss: 0.6788 - accuracy: 0.6095
298/338 [=========================>....] - ETA: 2s - loss: 0.6788 - accuracy: 0.6095
299/338 [=========================>....] - ETA: 1s - loss: 0.6789 - accuracy: 0.6092
300/338 [=========================>....] - ETA: 1s - loss: 0.6790 - accuracy: 0.6089
301/338 [=========================>....] - ETA: 1s - loss: 0.6790 - accuracy: 0.6089
302/338 [=========================>....] - ETA: 1s - loss: 0.6790 - accuracy: 0.6090
303/338 [=========================>....] - ETA: 1s - loss: 0.6790 - accuracy: 0.6085
304/338 [=========================>....] - ETA: 1s - loss: 0.6789 - accuracy: 0.6087
305/338 [==========================>...] - ETA: 1s - loss: 0.6788 - accuracy: 0.6090
307/338 [==========================>...] - ETA: 1s - loss: 0.6788 - accuracy: 0.6087
308/338 [==========================>...] - ETA: 1s - loss: 0.6787 - accuracy: 0.6091
310/338 [==========================>...] - ETA: 1s - loss: 0.6787 - accuracy: 0.6092
312/338 [==========================>...] - ETA: 1s - loss: 0.6786 - accuracy: 0.6101
313/338 [==========================>...] - ETA: 1s - loss: 0.6785 - accuracy: 0.6106
314/338 [==========================>...] - ETA: 1s - loss: 0.6784 - accuracy: 0.6108
316/338 [===========================>..] - ETA: 1s - loss: 0.6785 - accuracy: 0.6107
318/338 [===========================>..] - ETA: 1s - loss: 0.6783 - accuracy: 0.6116
320/338 [===========================>..] - ETA: 0s - loss: 0.6782 - accuracy: 0.6121
321/338 [===========================>..] - ETA: 0s - loss: 0.6783 - accuracy: 0.6121
323/338 [===========================>..] - ETA: 0s - loss: 0.6781 - accuracy: 0.6126
325/338 [===========================>..] - ETA: 0s - loss: 0.6781 - accuracy: 0.6124
326/338 [===========================>..] - ETA: 0s - loss: 0.6780 - accuracy: 0.6128
328/338 [============================>.] - ETA: 0s - loss: 0.6779 - accuracy: 0.6133
330/338 [============================>.] - ETA: 0s - loss: 0.6779 - accuracy: 0.6134
331/338 [============================>.] - ETA: 0s - loss: 0.6777 - accuracy: 0.6139
332/338 [============================>.] - ETA: 0s - loss: 0.6777 - accuracy: 0.6142
334/338 [============================>.] - ETA: 0s - loss: 0.6776 - accuracy: 0.6144
336/338 [============================>.] - ETA: 0s - loss: 0.6774 - accuracy: 0.6151
337/338 [============================>.] - ETA: 0s - loss: 0.6774 - accuracy: 0.6153
338/338 [==============================] - 19s 55ms/step - loss: 0.6774 - accuracy: 0.6153 - val_loss: 0.6667 - val_accuracy: 0.6666
Epoch 4/5
1/338 [..............................] - ETA: 16s - loss: 0.6727 - accuracy: 0.6562
3/338 [..............................] - ETA: 16s - loss: 0.6526 - accuracy: 0.7083
4/338 [..............................] - ETA: 16s - loss: 0.6672 - accuracy: 0.6484
5/338 [..............................] - ETA: 16s - loss: 0.6642 - accuracy: 0.6562
7/338 [..............................] - ETA: 16s - loss: 0.6658 - accuracy: 0.6518
9/338 [..............................] - ETA: 16s - loss: 0.6717 - accuracy: 0.6250
10/338 [..............................] - ETA: 16s - loss: 0.6746 - accuracy: 0.6156
11/338 [..............................] - ETA: 16s - loss: 0.6752 - accuracy: 0.6136
12/338 [>.............................] - ETA: 16s - loss: 0.6756 - accuracy: 0.6094
14/338 [>.............................] - ETA: 16s - loss: 0.6711 - accuracy: 0.6205
16/338 [>.............................] - ETA: 16s - loss: 0.6667 - accuracy: 0.6367
18/338 [>.............................] - ETA: 15s - loss: 0.6649 - accuracy: 0.6406
20/338 [>.............................] - ETA: 15s - loss: 0.6646 - accuracy: 0.6453
22/338 [>.............................] - ETA: 15s - loss: 0.6655 - accuracy: 0.6406
23/338 [=>............................] - ETA: 15s - loss: 0.6663 - accuracy: 0.6386
24/338 [=>............................] - ETA: 15s - loss: 0.6655 - accuracy: 0.6419
26/338 [=>............................] - ETA: 15s - loss: 0.6656 - accuracy: 0.6430
27/338 [=>............................] - ETA: 15s - loss: 0.6661 - accuracy: 0.6412
29/338 [=>............................] - ETA: 15s - loss: 0.6647 - accuracy: 0.6444
30/338 [=>............................] - ETA: 15s - loss: 0.6637 - accuracy: 0.6469
32/338 [=>............................] - ETA: 15s - loss: 0.6638 - accuracy: 0.6475
33/338 [=>............................] - ETA: 15s - loss: 0.6634 - accuracy: 0.6477
35/338 [==>...........................] - ETA: 15s - loss: 0.6653 - accuracy: 0.6429
37/338 [==>...........................] - ETA: 15s - loss: 0.6651 - accuracy: 0.6419
39/338 [==>...........................] - ETA: 14s - loss: 0.6661 - accuracy: 0.6394
41/338 [==>...........................] - ETA: 14s - loss: 0.6669 - accuracy: 0.6364
43/338 [==>...........................] - ETA: 14s - loss: 0.6666 - accuracy: 0.6374
44/338 [==>...........................] - ETA: 14s - loss: 0.6671 - accuracy: 0.6349
45/338 [==>...........................] - ETA: 14s - loss: 0.6672 - accuracy: 0.6340
46/338 [===>..........................] - ETA: 14s - loss: 0.6673 - accuracy: 0.6338
47/338 [===>..........................] - ETA: 14s - loss: 0.6674 - accuracy: 0.6343
49/338 [===>..........................] - ETA: 14s - loss: 0.6676 - accuracy: 0.6333
51/338 [===>..........................] - ETA: 14s - loss: 0.6670 - accuracy: 0.6360
52/338 [===>..........................] - ETA: 14s - loss: 0.6668 - accuracy: 0.6358
53/338 [===>..........................] - ETA: 14s - loss: 0.6667 - accuracy: 0.6356
55/338 [===>..........................] - ETA: 14s - loss: 0.6673 - accuracy: 0.6330
56/338 [===>..........................] - ETA: 14s - loss: 0.6678 - accuracy: 0.6306
57/338 [====>.........................] - ETA: 14s - loss: 0.6680 - accuracy: 0.6305
58/338 [====>.........................] - ETA: 13s - loss: 0.6682 - accuracy: 0.6304
60/338 [====>.........................] - ETA: 13s - loss: 0.6686 - accuracy: 0.6286
62/338 [====>.........................] - ETA: 13s - loss: 0.6676 - accuracy: 0.6321
64/338 [====>.........................] - ETA: 13s - loss: 0.6687 - accuracy: 0.6289
66/338 [====>.........................] - ETA: 13s - loss: 0.6679 - accuracy: 0.6316
67/338 [====>.........................] - ETA: 13s - loss: 0.6672 - accuracy: 0.6348
68/338 [=====>........................] - ETA: 13s - loss: 0.6671 - accuracy: 0.6351
70/338 [=====>........................] - ETA: 13s - loss: 0.6674 - accuracy: 0.6344
72/338 [=====>........................] - ETA: 13s - loss: 0.6675 - accuracy: 0.6350
74/338 [=====>........................] - ETA: 13s - loss: 0.6678 - accuracy: 0.6334
76/338 [=====>........................] - ETA: 13s - loss: 0.6680 - accuracy: 0.6328
78/338 [=====>........................] - ETA: 12s - loss: 0.6674 - accuracy: 0.6346
80/338 [======>.......................] - ETA: 12s - loss: 0.6669 - accuracy: 0.6359
82/338 [======>.......................] - ETA: 12s - loss: 0.6670 - accuracy: 0.6353
84/338 [======>.......................] - ETA: 12s - loss: 0.6671 - accuracy: 0.6354
85/338 [======>.......................] - ETA: 12s - loss: 0.6675 - accuracy: 0.6338
86/338 [======>.......................] - ETA: 12s - loss: 0.6678 - accuracy: 0.6334
88/338 [======>.......................] - ETA: 12s - loss: 0.6677 - accuracy: 0.6332
90/338 [======>.......................] - ETA: 12s - loss: 0.6674 - accuracy: 0.6337
91/338 [=======>......................] - ETA: 12s - loss: 0.6677 - accuracy: 0.6319
92/338 [=======>......................] - ETA: 12s - loss: 0.6676 - accuracy: 0.6321
94/338 [=======>......................] - ETA: 12s - loss: 0.6673 - accuracy: 0.6330
95/338 [=======>......................] - ETA: 12s - loss: 0.6674 - accuracy: 0.6322
97/338 [=======>......................] - ETA: 12s - loss: 0.6675 - accuracy: 0.6321
98/338 [=======>......................] - ETA: 11s - loss: 0.6669 - accuracy: 0.6336
99/338 [=======>......................] - ETA: 11s - loss: 0.6671 - accuracy: 0.6329
100/338 [=======>......................] - ETA: 11s - loss: 0.6672 - accuracy: 0.6322
101/338 [=======>......................] - ETA: 11s - loss: 0.6670 - accuracy: 0.6321
102/338 [========>.....................] - ETA: 11s - loss: 0.6672 - accuracy: 0.6314
104/338 [========>.....................] - ETA: 11s - loss: 0.6667 - accuracy: 0.6334
105/338 [========>.....................] - ETA: 11s - loss: 0.6666 - accuracy: 0.6336
106/338 [========>.....................] - ETA: 11s - loss: 0.6663 - accuracy: 0.6341
107/338 [========>.....................] - ETA: 11s - loss: 0.6661 - accuracy: 0.6349
109/338 [========>.....................] - ETA: 11s - loss: 0.6662 - accuracy: 0.6347
110/338 [========>.....................] - ETA: 11s - loss: 0.6660 - accuracy: 0.6358
112/338 [========>.....................] - ETA: 11s - loss: 0.6659 - accuracy: 0.6359
113/338 [=========>....................] - ETA: 11s - loss: 0.6653 - accuracy: 0.6374
115/338 [=========>....................] - ETA: 11s - loss: 0.6659 - accuracy: 0.6356
116/338 [=========>....................] - ETA: 11s - loss: 0.6659 - accuracy: 0.6360
118/338 [=========>....................] - ETA: 11s - loss: 0.6660 - accuracy: 0.6359
120/338 [=========>....................] - ETA: 10s - loss: 0.6661 - accuracy: 0.6349
122/338 [=========>....................] - ETA: 10s - loss: 0.6659 - accuracy: 0.6355
123/338 [=========>....................] - ETA: 10s - loss: 0.6660 - accuracy: 0.6352
124/338 [==========>...................] - ETA: 10s - loss: 0.6661 - accuracy: 0.6351
125/338 [==========>...................] - ETA: 10s - loss: 0.6660 - accuracy: 0.6355
126/338 [==========>...................] - ETA: 10s - loss: 0.6661 - accuracy: 0.6349
127/338 [==========>...................] - ETA: 10s - loss: 0.6659 - accuracy: 0.6356
128/338 [==========>...................] - ETA: 10s - loss: 0.6658 - accuracy: 0.6360
129/338 [==========>...................] - ETA: 10s - loss: 0.6658 - accuracy: 0.6359
131/338 [==========>...................] - ETA: 10s - loss: 0.6663 - accuracy: 0.6348
133/338 [==========>...................] - ETA: 10s - loss: 0.6662 - accuracy: 0.6349
134/338 [==========>...................] - ETA: 10s - loss: 0.6664 - accuracy: 0.6341
135/338 [==========>...................] - ETA: 10s - loss: 0.6663 - accuracy: 0.6343
136/338 [===========>..................] - ETA: 10s - loss: 0.6663 - accuracy: 0.6342
137/338 [===========>..................] - ETA: 10s - loss: 0.6662 - accuracy: 0.6344
138/338 [===========>..................] - ETA: 10s - loss: 0.6665 - accuracy: 0.6334
140/338 [===========>..................] - ETA: 9s - loss: 0.6664 - accuracy: 0.6335
141/338 [===========>..................] - ETA: 9s - loss: 0.6664 - accuracy: 0.6330
142/338 [===========>..................] - ETA: 9s - loss: 0.6665 - accuracy: 0.6325
144/338 [===========>..................] - ETA: 9s - loss: 0.6666 - accuracy: 0.6322
146/338 [===========>..................] - ETA: 9s - loss: 0.6667 - accuracy: 0.6314
148/338 [============>.................] - ETA: 9s - loss: 0.6666 - accuracy: 0.6320
150/338 [============>.................] - ETA: 9s - loss: 0.6669 - accuracy: 0.6315
152/338 [============>.................] - ETA: 9s - loss: 0.6674 - accuracy: 0.6295
153/338 [============>.................] - ETA: 9s - loss: 0.6674 - accuracy: 0.6297
154/338 [============>.................] - ETA: 9s - loss: 0.6671 - accuracy: 0.6299
155/338 [============>.................] - ETA: 9s - loss: 0.6672 - accuracy: 0.6298
156/338 [============>.................] - ETA: 9s - loss: 0.6672 - accuracy: 0.6294
157/338 [============>.................] - ETA: 9s - loss: 0.6673 - accuracy: 0.6292
159/338 [=============>................] - ETA: 8s - loss: 0.6672 - accuracy: 0.6297
160/338 [=============>................] - ETA: 8s - loss: 0.6672 - accuracy: 0.6299
162/338 [=============>................] - ETA: 8s - loss: 0.6670 - accuracy: 0.6304
164/338 [=============>................] - ETA: 8s - loss: 0.6670 - accuracy: 0.6303
165/338 [=============>................] - ETA: 8s - loss: 0.6668 - accuracy: 0.6311
166/338 [=============>................] - ETA: 8s - loss: 0.6668 - accuracy: 0.6310
168/338 [=============>................] - ETA: 8s - loss: 0.6667 - accuracy: 0.6315
169/338 [==============>...............] - ETA: 8s - loss: 0.6666 - accuracy: 0.6318
170/338 [==============>...............] - ETA: 8s - loss: 0.6667 - accuracy: 0.6318
171/338 [==============>...............] - ETA: 8s - loss: 0.6670 - accuracy: 0.6305
172/338 [==============>...............] - ETA: 8s - loss: 0.6670 - accuracy: 0.6305
174/338 [==============>...............] - ETA: 8s - loss: 0.6669 - accuracy: 0.6309
176/338 [==============>...............] - ETA: 8s - loss: 0.6671 - accuracy: 0.6301
177/338 [==============>...............] - ETA: 8s - loss: 0.6670 - accuracy: 0.6305
179/338 [==============>...............] - ETA: 7s - loss: 0.6669 - accuracy: 0.6308
181/338 [===============>..............] - ETA: 7s - loss: 0.6668 - accuracy: 0.6316
182/338 [===============>..............] - ETA: 7s - loss: 0.6671 - accuracy: 0.6307
184/338 [===============>..............] - ETA: 7s - loss: 0.6667 - accuracy: 0.6318
186/338 [===============>..............] - ETA: 7s - loss: 0.6668 - accuracy: 0.6314
188/338 [===============>..............] - ETA: 7s - loss: 0.6671 - accuracy: 0.6307
189/338 [===============>..............] - ETA: 7s - loss: 0.6671 - accuracy: 0.6306
191/338 [===============>..............] - ETA: 7s - loss: 0.6669 - accuracy: 0.6311
192/338 [================>.............] - ETA: 7s - loss: 0.6669 - accuracy: 0.6310
193/338 [================>.............] - ETA: 7s - loss: 0.6667 - accuracy: 0.6315
195/338 [================>.............] - ETA: 7s - loss: 0.6665 - accuracy: 0.6319
197/338 [================>.............] - ETA: 7s - loss: 0.6664 - accuracy: 0.6321
198/338 [================>.............] - ETA: 7s - loss: 0.6661 - accuracy: 0.6329
200/338 [================>.............] - ETA: 6s - loss: 0.6663 - accuracy: 0.6323
201/338 [================>.............] - ETA: 6s - loss: 0.6663 - accuracy: 0.6322
202/338 [================>.............] - ETA: 6s - loss: 0.6660 - accuracy: 0.6329
203/338 [=================>............] - ETA: 6s - loss: 0.6659 - accuracy: 0.6332
204/338 [=================>............] - ETA: 6s - loss: 0.6661 - accuracy: 0.6328
205/338 [=================>............] - ETA: 6s - loss: 0.6659 - accuracy: 0.6329
206/338 [=================>............] - ETA: 6s - loss: 0.6657 - accuracy: 0.6335
208/338 [=================>............] - ETA: 6s - loss: 0.6658 - accuracy: 0.6336
209/338 [=================>............] - ETA: 6s - loss: 0.6659 - accuracy: 0.6331
211/338 [=================>............] - ETA: 6s - loss: 0.6660 - accuracy: 0.6331
213/338 [=================>............] - ETA: 6s - loss: 0.6657 - accuracy: 0.6338
214/338 [=================>............] - ETA: 6s - loss: 0.6656 - accuracy: 0.6341
215/338 [==================>...........] - ETA: 6s - loss: 0.6654 - accuracy: 0.6344
217/338 [==================>...........] - ETA: 6s - loss: 0.6657 - accuracy: 0.6339
218/338 [==================>...........] - ETA: 6s - loss: 0.6656 - accuracy: 0.6340
220/338 [==================>...........] - ETA: 5s - loss: 0.6652 - accuracy: 0.6351
221/338 [==================>...........] - ETA: 5s - loss: 0.6652 - accuracy: 0.6350
223/338 [==================>...........] - ETA: 5s - loss: 0.6651 - accuracy: 0.6354
224/338 [==================>...........] - ETA: 5s - loss: 0.6651 - accuracy: 0.6353
226/338 [===================>..........] - ETA: 5s - loss: 0.6649 - accuracy: 0.6358
228/338 [===================>..........] - ETA: 5s - loss: 0.6649 - accuracy: 0.6357
229/338 [===================>..........] - ETA: 5s - loss: 0.6648 - accuracy: 0.6359
231/338 [===================>..........] - ETA: 5s - loss: 0.6643 - accuracy: 0.6370
233/338 [===================>..........] - ETA: 5s - loss: 0.6641 - accuracy: 0.6377
235/338 [===================>..........] - ETA: 5s - loss: 0.6637 - accuracy: 0.6384
237/338 [====================>.........] - ETA: 5s - loss: 0.6633 - accuracy: 0.6395
238/338 [====================>.........] - ETA: 5s - loss: 0.6632 - accuracy: 0.6397
240/338 [====================>.........] - ETA: 4s - loss: 0.6633 - accuracy: 0.6396
241/338 [====================>.........] - ETA: 4s - loss: 0.6631 - accuracy: 0.6399
243/338 [====================>.........] - ETA: 4s - loss: 0.6631 - accuracy: 0.6399
244/338 [====================>.........] - ETA: 4s - loss: 0.6630 - accuracy: 0.6404
246/338 [====================>.........] - ETA: 4s - loss: 0.6627 - accuracy: 0.6413
247/338 [====================>.........] - ETA: 4s - loss: 0.6628 - accuracy: 0.6408
249/338 [=====================>........] - ETA: 4s - loss: 0.6626 - accuracy: 0.6411
250/338 [=====================>........] - ETA: 4s - loss: 0.6627 - accuracy: 0.6409
252/338 [=====================>........] - ETA: 4s - loss: 0.6625 - accuracy: 0.6414
254/338 [=====================>........] - ETA: 4s - loss: 0.6624 - accuracy: 0.6415
256/338 [=====================>........] - ETA: 4s - loss: 0.6624 - accuracy: 0.6414
257/338 [=====================>........] - ETA: 4s - loss: 0.6624 - accuracy: 0.6414
258/338 [=====================>........] - ETA: 4s - loss: 0.6626 - accuracy: 0.6410
259/338 [=====================>........] - ETA: 3s - loss: 0.6625 - accuracy: 0.6410
261/338 [======================>.......] - ETA: 3s - loss: 0.6625 - accuracy: 0.6410
262/338 [======================>.......] - ETA: 3s - loss: 0.6626 - accuracy: 0.6409
264/338 [======================>.......] - ETA: 3s - loss: 0.6626 - accuracy: 0.6405
266/338 [======================>.......] - ETA: 3s - loss: 0.6630 - accuracy: 0.6396
268/338 [======================>.......] - ETA: 3s - loss: 0.6631 - accuracy: 0.6393
270/338 [======================>.......] - ETA: 3s - loss: 0.6630 - accuracy: 0.6397
272/338 [=======================>......] - ETA: 3s - loss: 0.6633 - accuracy: 0.6389
273/338 [=======================>......] - ETA: 3s - loss: 0.6634 - accuracy: 0.6386
275/338 [=======================>......] - ETA: 3s - loss: 0.6632 - accuracy: 0.6392
276/338 [=======================>......] - ETA: 3s - loss: 0.6630 - accuracy: 0.6397
278/338 [=======================>......] - ETA: 3s - loss: 0.6629 - accuracy: 0.6397
279/338 [=======================>......] - ETA: 2s - loss: 0.6630 - accuracy: 0.6396
281/338 [=======================>......] - ETA: 2s - loss: 0.6630 - accuracy: 0.6396
283/338 [========================>.....] - ETA: 2s - loss: 0.6629 - accuracy: 0.6399
285/338 [========================>.....] - ETA: 2s - loss: 0.6628 - accuracy: 0.6402
287/338 [========================>.....] - ETA: 2s - loss: 0.6627 - accuracy: 0.6406
289/338 [========================>.....] - ETA: 2s - loss: 0.6625 - accuracy: 0.6410
291/338 [========================>.....] - ETA: 2s - loss: 0.6624 - accuracy: 0.6413
293/338 [=========================>....] - ETA: 2s - loss: 0.6626 - accuracy: 0.6408
295/338 [=========================>....] - ETA: 2s - loss: 0.6621 - accuracy: 0.6419
297/338 [=========================>....] - ETA: 2s - loss: 0.6623 - accuracy: 0.6415
298/338 [=========================>....] - ETA: 2s - loss: 0.6623 - accuracy: 0.6414
300/338 [=========================>....] - ETA: 1s - loss: 0.6621 - accuracy: 0.6419
302/338 [=========================>....] - ETA: 1s - loss: 0.6618 - accuracy: 0.6424
304/338 [=========================>....] - ETA: 1s - loss: 0.6617 - accuracy: 0.6426
305/338 [==========================>...] - ETA: 1s - loss: 0.6617 - accuracy: 0.6426
306/338 [==========================>...] - ETA: 1s - loss: 0.6617 - accuracy: 0.6427
307/338 [==========================>...] - ETA: 1s - loss: 0.6616 - accuracy: 0.6429
308/338 [==========================>...] - ETA: 1s - loss: 0.6616 - accuracy: 0.6431
310/338 [==========================>...] - ETA: 1s - loss: 0.6616 - accuracy: 0.6429
311/338 [==========================>...] - ETA: 1s - loss: 0.6615 - accuracy: 0.6431
312/338 [==========================>...] - ETA: 1s - loss: 0.6614 - accuracy: 0.6433
314/338 [==========================>...] - ETA: 1s - loss: 0.6615 - accuracy: 0.6432
315/338 [==========================>...] - ETA: 1s - loss: 0.6614 - accuracy: 0.6432
316/338 [===========================>..] - ETA: 1s - loss: 0.6616 - accuracy: 0.6429
317/338 [===========================>..] - ETA: 1s - loss: 0.6614 - accuracy: 0.6433
318/338 [===========================>..] - ETA: 1s - loss: 0.6615 - accuracy: 0.6431
320/338 [===========================>..] - ETA: 0s - loss: 0.6615 - accuracy: 0.6430
321/338 [===========================>..] - ETA: 0s - loss: 0.6616 - accuracy: 0.6428
323/338 [===========================>..] - ETA: 0s - loss: 0.6616 - accuracy: 0.6426
324/338 [===========================>..] - ETA: 0s - loss: 0.6616 - accuracy: 0.6426
326/338 [===========================>..] - ETA: 0s - loss: 0.6615 - accuracy: 0.6426
328/338 [============================>.] - ETA: 0s - loss: 0.6616 - accuracy: 0.6422
330/338 [============================>.] - ETA: 0s - loss: 0.6616 - accuracy: 0.6424
332/338 [============================>.] - ETA: 0s - loss: 0.6616 - accuracy: 0.6423
333/338 [============================>.] - ETA: 0s - loss: 0.6616 - accuracy: 0.6423
334/338 [============================>.] - ETA: 0s - loss: 0.6616 - accuracy: 0.6422
336/338 [============================>.] - ETA: 0s - loss: 0.6615 - accuracy: 0.6426
338/338 [==============================] - ETA: 0s - loss: 0.6615 - accuracy: 0.6424
338/338 [==============================] - 18s 54ms/step - loss: 0.6615 - accuracy: 0.6424 - val_loss: 0.6572 - val_accuracy: 0.6432
Epoch 5/5
1/338 [..............................] - ETA: 16s - loss: 0.7059 - accuracy: 0.4688
2/338 [..............................] - ETA: 16s - loss: 0.6938 - accuracy: 0.5000
3/338 [..............................] - ETA: 16s - loss: 0.6774 - accuracy: 0.5521
4/338 [..............................] - ETA: 16s - loss: 0.6733 - accuracy: 0.5703
6/338 [..............................] - ETA: 16s - loss: 0.6701 - accuracy: 0.5938
8/338 [..............................] - ETA: 16s - loss: 0.6718 - accuracy: 0.5938
9/338 [..............................] - ETA: 16s - loss: 0.6674 - accuracy: 0.6076
11/338 [..............................] - ETA: 16s - loss: 0.6657 - accuracy: 0.6136
13/338 [>.............................] - ETA: 16s - loss: 0.6708 - accuracy: 0.6034
14/338 [>.............................] - ETA: 16s - loss: 0.6700 - accuracy: 0.6049
15/338 [>.............................] - ETA: 16s - loss: 0.6679 - accuracy: 0.6083
17/338 [>.............................] - ETA: 16s - loss: 0.6688 - accuracy: 0.6085
18/338 [>.............................] - ETA: 16s - loss: 0.6701 - accuracy: 0.6059
19/338 [>.............................] - ETA: 15s - loss: 0.6682 - accuracy: 0.6102
21/338 [>.............................] - ETA: 15s - loss: 0.6664 - accuracy: 0.6146
23/338 [=>............................] - ETA: 15s - loss: 0.6648 - accuracy: 0.6182
24/338 [=>............................] - ETA: 15s - loss: 0.6633 - accuracy: 0.6224
25/338 [=>............................] - ETA: 15s - loss: 0.6613 - accuracy: 0.6263
26/338 [=>............................] - ETA: 15s - loss: 0.6595 - accuracy: 0.6322
28/338 [=>............................] - ETA: 15s - loss: 0.6620 - accuracy: 0.6250
30/338 [=>............................] - ETA: 15s - loss: 0.6586 - accuracy: 0.6333
32/338 [=>............................] - ETA: 15s - loss: 0.6600 - accuracy: 0.6309
33/338 [=>............................] - ETA: 15s - loss: 0.6610 - accuracy: 0.6288
35/338 [==>...........................] - ETA: 15s - loss: 0.6623 - accuracy: 0.6268
37/338 [==>...........................] - ETA: 15s - loss: 0.6600 - accuracy: 0.6334
39/338 [==>...........................] - ETA: 14s - loss: 0.6588 - accuracy: 0.6362
40/338 [==>...........................] - ETA: 14s - loss: 0.6577 - accuracy: 0.6398
41/338 [==>...........................] - ETA: 14s - loss: 0.6583 - accuracy: 0.6387
42/338 [==>...........................] - ETA: 14s - loss: 0.6584 - accuracy: 0.6384
43/338 [==>...........................] - ETA: 14s - loss: 0.6583 - accuracy: 0.6388
44/338 [==>...........................] - ETA: 14s - loss: 0.6567 - accuracy: 0.6428
45/338 [==>...........................] - ETA: 14s - loss: 0.6570 - accuracy: 0.6424
46/338 [===>..........................] - ETA: 14s - loss: 0.6572 - accuracy: 0.6420
47/338 [===>..........................] - ETA: 14s - loss: 0.6569 - accuracy: 0.6430
49/338 [===>..........................] - ETA: 14s - loss: 0.6567 - accuracy: 0.6441
50/338 [===>..........................] - ETA: 14s - loss: 0.6581 - accuracy: 0.6413
51/338 [===>..........................] - ETA: 14s - loss: 0.6567 - accuracy: 0.6446
53/338 [===>..........................] - ETA: 14s - loss: 0.6563 - accuracy: 0.6450
54/338 [===>..........................] - ETA: 14s - loss: 0.6567 - accuracy: 0.6435
56/338 [===>..........................] - ETA: 14s - loss: 0.6564 - accuracy: 0.6440
58/338 [====>.........................] - ETA: 14s - loss: 0.6549 - accuracy: 0.6471
59/338 [====>.........................] - ETA: 14s - loss: 0.6542 - accuracy: 0.6488
60/338 [====>.........................] - ETA: 14s - loss: 0.6537 - accuracy: 0.6495
62/338 [====>.........................] - ETA: 13s - loss: 0.6521 - accuracy: 0.6537
63/338 [====>.........................] - ETA: 13s - loss: 0.6514 - accuracy: 0.6553
64/338 [====>.........................] - ETA: 13s - loss: 0.6521 - accuracy: 0.6533
65/338 [====>.........................] - ETA: 13s - loss: 0.6519 - accuracy: 0.6538
67/338 [====>.........................] - ETA: 13s - loss: 0.6523 - accuracy: 0.6530
68/338 [=====>........................] - ETA: 13s - loss: 0.6519 - accuracy: 0.6540
69/338 [=====>........................] - ETA: 13s - loss: 0.6521 - accuracy: 0.6535
70/338 [=====>........................] - ETA: 13s - loss: 0.6520 - accuracy: 0.6540
72/338 [=====>........................] - ETA: 13s - loss: 0.6518 - accuracy: 0.6541
74/338 [=====>........................] - ETA: 13s - loss: 0.6509 - accuracy: 0.6562
75/338 [=====>........................] - ETA: 13s - loss: 0.6505 - accuracy: 0.6575
77/338 [=====>........................] - ETA: 13s - loss: 0.6500 - accuracy: 0.6583
78/338 [=====>........................] - ETA: 13s - loss: 0.6500 - accuracy: 0.6583
79/338 [======>.......................] - ETA: 13s - loss: 0.6500 - accuracy: 0.6578
81/338 [======>.......................] - ETA: 12s - loss: 0.6496 - accuracy: 0.6586
82/338 [======>.......................] - ETA: 12s - loss: 0.6496 - accuracy: 0.6585
84/338 [======>.......................] - ETA: 12s - loss: 0.6496 - accuracy: 0.6589
85/338 [======>.......................] - ETA: 12s - loss: 0.6497 - accuracy: 0.6588
87/338 [======>.......................] - ETA: 12s - loss: 0.6510 - accuracy: 0.6559
88/338 [======>.......................] - ETA: 12s - loss: 0.6506 - accuracy: 0.6566
90/338 [======>.......................] - ETA: 12s - loss: 0.6501 - accuracy: 0.6576
91/338 [=======>......................] - ETA: 12s - loss: 0.6499 - accuracy: 0.6580
93/338 [=======>......................] - ETA: 12s - loss: 0.6494 - accuracy: 0.6589
95/338 [=======>......................] - ETA: 12s - loss: 0.6488 - accuracy: 0.6599
97/338 [=======>......................] - ETA: 12s - loss: 0.6493 - accuracy: 0.6588
98/338 [=======>......................] - ETA: 12s - loss: 0.6500 - accuracy: 0.6572
100/338 [=======>......................] - ETA: 11s - loss: 0.6489 - accuracy: 0.6597
101/338 [=======>......................] - ETA: 11s - loss: 0.6492 - accuracy: 0.6590
103/338 [========>.....................] - ETA: 11s - loss: 0.6485 - accuracy: 0.6608
104/338 [========>.....................] - ETA: 11s - loss: 0.6482 - accuracy: 0.6611
106/338 [========>.....................] - ETA: 11s - loss: 0.6484 - accuracy: 0.6610
107/338 [========>.....................] - ETA: 11s - loss: 0.6474 - accuracy: 0.6630
109/338 [========>.....................] - ETA: 11s - loss: 0.6468 - accuracy: 0.6646
111/338 [========>.....................] - ETA: 11s - loss: 0.6472 - accuracy: 0.6633
112/338 [========>.....................] - ETA: 11s - loss: 0.6468 - accuracy: 0.6643
114/338 [=========>....................] - ETA: 11s - loss: 0.6467 - accuracy: 0.6642
115/338 [=========>....................] - ETA: 11s - loss: 0.6470 - accuracy: 0.6636
117/338 [=========>....................] - ETA: 11s - loss: 0.6464 - accuracy: 0.6648
118/338 [=========>....................] - ETA: 11s - loss: 0.6465 - accuracy: 0.6647
119/338 [=========>....................] - ETA: 10s - loss: 0.6465 - accuracy: 0.6647
121/338 [=========>....................] - ETA: 10s - loss: 0.6472 - accuracy: 0.6632
123/338 [=========>....................] - ETA: 10s - loss: 0.6472 - accuracy: 0.6634
125/338 [==========>...................] - ETA: 10s - loss: 0.6472 - accuracy: 0.6633
126/338 [==========>...................] - ETA: 10s - loss: 0.6476 - accuracy: 0.6622
128/338 [==========>...................] - ETA: 10s - loss: 0.6471 - accuracy: 0.6633
129/338 [==========>...................] - ETA: 10s - loss: 0.6477 - accuracy: 0.6623
131/338 [==========>...................] - ETA: 10s - loss: 0.6486 - accuracy: 0.6605
132/338 [==========>...................] - ETA: 10s - loss: 0.6483 - accuracy: 0.6612
133/338 [==========>...................] - ETA: 10s - loss: 0.6489 - accuracy: 0.6600
134/338 [==========>...................] - ETA: 10s - loss: 0.6488 - accuracy: 0.6602
136/338 [===========>..................] - ETA: 10s - loss: 0.6490 - accuracy: 0.6602
137/338 [===========>..................] - ETA: 10s - loss: 0.6486 - accuracy: 0.6608
139/338 [===========>..................] - ETA: 9s - loss: 0.6486 - accuracy: 0.6607
141/338 [===========>..................] - ETA: 9s - loss: 0.6485 - accuracy: 0.6609
142/338 [===========>..................] - ETA: 9s - loss: 0.6483 - accuracy: 0.6613
144/338 [===========>..................] - ETA: 9s - loss: 0.6482 - accuracy: 0.6615
145/338 [===========>..................] - ETA: 9s - loss: 0.6481 - accuracy: 0.6619
147/338 [============>.................] - ETA: 9s - loss: 0.6484 - accuracy: 0.6611
149/338 [============>.................] - ETA: 9s - loss: 0.6483 - accuracy: 0.6611
150/338 [============>.................] - ETA: 9s - loss: 0.6481 - accuracy: 0.6615
151/338 [============>.................] - ETA: 9s - loss: 0.6480 - accuracy: 0.6616
153/338 [============>.................] - ETA: 9s - loss: 0.6481 - accuracy: 0.6616
155/338 [============>.................] - ETA: 9s - loss: 0.6478 - accuracy: 0.6621
156/338 [============>.................] - ETA: 9s - loss: 0.6479 - accuracy: 0.6619
157/338 [============>.................] - ETA: 9s - loss: 0.6477 - accuracy: 0.6622
158/338 [=============>................] - ETA: 9s - loss: 0.6476 - accuracy: 0.6624
160/338 [=============>................] - ETA: 8s - loss: 0.6474 - accuracy: 0.6625
162/338 [=============>................] - ETA: 8s - loss: 0.6473 - accuracy: 0.6626
163/338 [=============>................] - ETA: 8s - loss: 0.6476 - accuracy: 0.6618
165/338 [=============>................] - ETA: 8s - loss: 0.6474 - accuracy: 0.6625
167/338 [=============>................] - ETA: 8s - loss: 0.6474 - accuracy: 0.6622
169/338 [==============>...............] - ETA: 8s - loss: 0.6474 - accuracy: 0.6620
170/338 [==============>...............] - ETA: 8s - loss: 0.6472 - accuracy: 0.6621
172/338 [==============>...............] - ETA: 8s - loss: 0.6475 - accuracy: 0.6617
173/338 [==============>...............] - ETA: 8s - loss: 0.6478 - accuracy: 0.6609
175/338 [==============>...............] - ETA: 8s - loss: 0.6477 - accuracy: 0.6612
177/338 [==============>...............] - ETA: 8s - loss: 0.6486 - accuracy: 0.6596
179/338 [==============>...............] - ETA: 7s - loss: 0.6486 - accuracy: 0.6594
181/338 [===============>..............] - ETA: 7s - loss: 0.6486 - accuracy: 0.6590
183/338 [===============>..............] - ETA: 7s - loss: 0.6494 - accuracy: 0.6574
185/338 [===============>..............] - ETA: 7s - loss: 0.6491 - accuracy: 0.6581
186/338 [===============>..............] - ETA: 7s - loss: 0.6494 - accuracy: 0.6576
188/338 [===============>..............] - ETA: 7s - loss: 0.6495 - accuracy: 0.6571
189/338 [===============>..............] - ETA: 7s - loss: 0.6493 - accuracy: 0.6579
191/338 [===============>..............] - ETA: 7s - loss: 0.6503 - accuracy: 0.6556
192/338 [================>.............] - ETA: 7s - loss: 0.6500 - accuracy: 0.6561
193/338 [================>.............] - ETA: 7s - loss: 0.6501 - accuracy: 0.6559
194/338 [================>.............] - ETA: 7s - loss: 0.6502 - accuracy: 0.6558
196/338 [================>.............] - ETA: 7s - loss: 0.6507 - accuracy: 0.6542
197/338 [================>.............] - ETA: 7s - loss: 0.6510 - accuracy: 0.6534
198/338 [================>.............] - ETA: 7s - loss: 0.6510 - accuracy: 0.6534
199/338 [================>.............] - ETA: 6s - loss: 0.6511 - accuracy: 0.6531
201/338 [================>.............] - ETA: 6s - loss: 0.6510 - accuracy: 0.6530
203/338 [=================>............] - ETA: 6s - loss: 0.6512 - accuracy: 0.6524
205/338 [=================>............] - ETA: 6s - loss: 0.6514 - accuracy: 0.6521
206/338 [=================>............] - ETA: 6s - loss: 0.6511 - accuracy: 0.6528
207/338 [=================>............] - ETA: 6s - loss: 0.6509 - accuracy: 0.6532
208/338 [=================>............] - ETA: 6s - loss: 0.6510 - accuracy: 0.6529
210/338 [=================>............] - ETA: 6s - loss: 0.6506 - accuracy: 0.6539
212/338 [=================>............] - ETA: 6s - loss: 0.6506 - accuracy: 0.6536
213/338 [=================>............] - ETA: 6s - loss: 0.6506 - accuracy: 0.6538
215/338 [==================>...........] - ETA: 6s - loss: 0.6507 - accuracy: 0.6536
216/338 [==================>...........] - ETA: 6s - loss: 0.6506 - accuracy: 0.6539
217/338 [==================>...........] - ETA: 6s - loss: 0.6508 - accuracy: 0.6535
219/338 [==================>...........] - ETA: 5s - loss: 0.6507 - accuracy: 0.6535
221/338 [==================>...........] - ETA: 5s - loss: 0.6508 - accuracy: 0.6531
223/338 [==================>...........] - ETA: 5s - loss: 0.6505 - accuracy: 0.6536
225/338 [==================>...........] - ETA: 5s - loss: 0.6506 - accuracy: 0.6536
227/338 [===================>..........] - ETA: 5s - loss: 0.6506 - accuracy: 0.6534
228/338 [===================>..........] - ETA: 5s - loss: 0.6504 - accuracy: 0.6538
230/338 [===================>..........] - ETA: 5s - loss: 0.6503 - accuracy: 0.6539
231/338 [===================>..........] - ETA: 5s - loss: 0.6506 - accuracy: 0.6534
233/338 [===================>..........] - ETA: 5s - loss: 0.6503 - accuracy: 0.6540
234/338 [===================>..........] - ETA: 5s - loss: 0.6501 - accuracy: 0.6544
235/338 [===================>..........] - ETA: 5s - loss: 0.6504 - accuracy: 0.6540
237/338 [====================>.........] - ETA: 5s - loss: 0.6505 - accuracy: 0.6536
238/338 [====================>.........] - ETA: 4s - loss: 0.6502 - accuracy: 0.6540
239/338 [====================>.........] - ETA: 4s - loss: 0.6502 - accuracy: 0.6542
241/338 [====================>.........] - ETA: 4s - loss: 0.6505 - accuracy: 0.6537
242/338 [====================>.........] - ETA: 4s - loss: 0.6504 - accuracy: 0.6538
244/338 [====================>.........] - ETA: 4s - loss: 0.6502 - accuracy: 0.6541
246/338 [====================>.........] - ETA: 4s - loss: 0.6504 - accuracy: 0.6540
248/338 [=====================>........] - ETA: 4s - loss: 0.6504 - accuracy: 0.6540
250/338 [=====================>........] - ETA: 4s - loss: 0.6503 - accuracy: 0.6543
252/338 [=====================>........] - ETA: 4s - loss: 0.6501 - accuracy: 0.6546
253/338 [=====================>........] - ETA: 4s - loss: 0.6502 - accuracy: 0.6544
255/338 [=====================>........] - ETA: 4s - loss: 0.6499 - accuracy: 0.6547
257/338 [=====================>........] - ETA: 4s - loss: 0.6501 - accuracy: 0.6545
258/338 [=====================>........] - ETA: 3s - loss: 0.6500 - accuracy: 0.6548
259/338 [=====================>........] - ETA: 3s - loss: 0.6500 - accuracy: 0.6547
260/338 [======================>.......] - ETA: 3s - loss: 0.6501 - accuracy: 0.6544
261/338 [======================>.......] - ETA: 3s - loss: 0.6503 - accuracy: 0.6540
262/338 [======================>.......] - ETA: 3s - loss: 0.6505 - accuracy: 0.6536
264/338 [======================>.......] - ETA: 3s - loss: 0.6502 - accuracy: 0.6540
266/338 [======================>.......] - ETA: 3s - loss: 0.6499 - accuracy: 0.6546
267/338 [======================>.......] - ETA: 3s - loss: 0.6499 - accuracy: 0.6547
269/338 [======================>.......] - ETA: 3s - loss: 0.6502 - accuracy: 0.6539
271/338 [=======================>......] - ETA: 3s - loss: 0.6501 - accuracy: 0.6541
272/338 [=======================>......] - ETA: 3s - loss: 0.6499 - accuracy: 0.6544
273/338 [=======================>......] - ETA: 3s - loss: 0.6502 - accuracy: 0.6537
275/338 [=======================>......] - ETA: 3s - loss: 0.6505 - accuracy: 0.6530
277/338 [=======================>......] - ETA: 3s - loss: 0.6507 - accuracy: 0.6528
278/338 [=======================>......] - ETA: 3s - loss: 0.6504 - accuracy: 0.6532
279/338 [=======================>......] - ETA: 2s - loss: 0.6505 - accuracy: 0.6529
280/338 [=======================>......] - ETA: 2s - loss: 0.6505 - accuracy: 0.6531
282/338 [========================>.....] - ETA: 2s - loss: 0.6509 - accuracy: 0.6523
283/338 [========================>.....] - ETA: 2s - loss: 0.6510 - accuracy: 0.6522
285/338 [========================>.....] - ETA: 2s - loss: 0.6511 - accuracy: 0.6519
287/338 [========================>.....] - ETA: 2s - loss: 0.6510 - accuracy: 0.6518
288/338 [========================>.....] - ETA: 2s - loss: 0.6512 - accuracy: 0.6513
289/338 [========================>.....] - ETA: 2s - loss: 0.6515 - accuracy: 0.6506
291/338 [========================>.....] - ETA: 2s - loss: 0.6516 - accuracy: 0.6505
292/338 [========================>.....] - ETA: 2s - loss: 0.6517 - accuracy: 0.6503
293/338 [=========================>....] - ETA: 2s - loss: 0.6514 - accuracy: 0.6506
294/338 [=========================>....] - ETA: 2s - loss: 0.6515 - accuracy: 0.6506
295/338 [=========================>....] - ETA: 2s - loss: 0.6513 - accuracy: 0.6506
296/338 [=========================>....] - ETA: 2s - loss: 0.6512 - accuracy: 0.6509
298/338 [=========================>....] - ETA: 2s - loss: 0.6512 - accuracy: 0.6509
300/338 [=========================>....] - ETA: 1s - loss: 0.6510 - accuracy: 0.6514
302/338 [=========================>....] - ETA: 1s - loss: 0.6507 - accuracy: 0.6518
304/338 [=========================>....] - ETA: 1s - loss: 0.6506 - accuracy: 0.6519
305/338 [==========================>...] - ETA: 1s - loss: 0.6504 - accuracy: 0.6523
306/338 [==========================>...] - ETA: 1s - loss: 0.6503 - accuracy: 0.6523
307/338 [==========================>...] - ETA: 1s - loss: 0.6502 - accuracy: 0.6526
309/338 [==========================>...] - ETA: 1s - loss: 0.6505 - accuracy: 0.6520
310/338 [==========================>...] - ETA: 1s - loss: 0.6506 - accuracy: 0.6516
312/338 [==========================>...] - ETA: 1s - loss: 0.6507 - accuracy: 0.6515
314/338 [==========================>...] - ETA: 1s - loss: 0.6505 - accuracy: 0.6518
316/338 [===========================>..] - ETA: 1s - loss: 0.6505 - accuracy: 0.6516
317/338 [===========================>..] - ETA: 1s - loss: 0.6506 - accuracy: 0.6516
318/338 [===========================>..] - ETA: 1s - loss: 0.6507 - accuracy: 0.6513
319/338 [===========================>..] - ETA: 0s - loss: 0.6506 - accuracy: 0.6514
320/338 [===========================>..] - ETA: 0s - loss: 0.6507 - accuracy: 0.6514
321/338 [===========================>..] - ETA: 0s - loss: 0.6508 - accuracy: 0.6512
322/338 [===========================>..] - ETA: 0s - loss: 0.6510 - accuracy: 0.6509
324/338 [===========================>..] - ETA: 0s - loss: 0.6511 - accuracy: 0.6506
325/338 [===========================>..] - ETA: 0s - loss: 0.6511 - accuracy: 0.6506
326/338 [===========================>..] - ETA: 0s - loss: 0.6509 - accuracy: 0.6509
327/338 [============================>.] - ETA: 0s - loss: 0.6509 - accuracy: 0.6508
329/338 [============================>.] - ETA: 0s - loss: 0.6510 - accuracy: 0.6506
331/338 [============================>.] - ETA: 0s - loss: 0.6507 - accuracy: 0.6512
333/338 [============================>.] - ETA: 0s - loss: 0.6510 - accuracy: 0.6504
334/338 [============================>.] - ETA: 0s - loss: 0.6512 - accuracy: 0.6500
335/338 [============================>.] - ETA: 0s - loss: 0.6513 - accuracy: 0.6498
337/338 [============================>.] - ETA: 0s - loss: 0.6513 - accuracy: 0.6499
338/338 [==============================] - 19s 58ms/step - loss: 0.6513 - accuracy: 0.6498 - val_loss: 0.7152 - val_accuracy: 0.5375
1/97 [..............................] - ETA: 2s - loss: 0.8232 - accuracy: 0.3125
5/97 [>.............................] - ETA: 1s - loss: 0.7510 - accuracy: 0.4750
9/97 [=>............................] - ETA: 1s - loss: 0.7313 - accuracy: 0.5069
13/97 [===>..........................] - ETA: 1s - loss: 0.7269 - accuracy: 0.5144
17/97 [====>.........................] - ETA: 1s - loss: 0.7218 - accuracy: 0.5294
21/97 [=====>........................] - ETA: 1s - loss: 0.7184 - accuracy: 0.5327
25/97 [======>.......................] - ETA: 1s - loss: 0.7113 - accuracy: 0.5475
29/97 [=======>......................] - ETA: 1s - loss: 0.7151 - accuracy: 0.5420
33/97 [=========>....................] - ETA: 0s - loss: 0.7157 - accuracy: 0.5398
37/97 [==========>...................] - ETA: 0s - loss: 0.7182 - accuracy: 0.5346
41/97 [===========>..................] - ETA: 0s - loss: 0.7179 - accuracy: 0.5358
45/97 [============>.................] - ETA: 0s - loss: 0.7148 - accuracy: 0.5417
49/97 [==============>...............] - ETA: 0s - loss: 0.7122 - accuracy: 0.5440
53/97 [===============>..............] - ETA: 0s - loss: 0.7148 - accuracy: 0.5395
57/97 [================>.............] - ETA: 0s - loss: 0.7166 - accuracy: 0.5351
61/97 [=================>............] - ETA: 0s - loss: 0.7139 - accuracy: 0.5400
65/97 [===================>..........] - ETA: 0s - loss: 0.7122 - accuracy: 0.5428
69/97 [====================>.........] - ETA: 0s - loss: 0.7129 - accuracy: 0.5403
73/97 [=====================>........] - ETA: 0s - loss: 0.7135 - accuracy: 0.5394
77/97 [======================>.......] - ETA: 0s - loss: 0.7132 - accuracy: 0.5402
81/97 [========================>.....] - ETA: 0s - loss: 0.7146 - accuracy: 0.5374
85/97 [=========================>....] - ETA: 0s - loss: 0.7143 - accuracy: 0.5379
89/97 [==========================>...] - ETA: 0s - loss: 0.7152 - accuracy: 0.5365
93/97 [===========================>..] - ETA: 0s - loss: 0.7153 - accuracy: 0.5363
97/97 [==============================] - ETA: 0s - loss: 0.7152 - accuracy: 0.5375
97/97 [==============================] - 2s 15ms/step - loss: 0.7152 - accuracy: 0.5375
Performance drop after ablating c1: -0.010703861713409424
Epoch 1/5
1/338 [..............................] - ETA: 5:03 - loss: 0.7195 - accuracy: 0.4062
2/338 [..............................] - ETA: 18s - loss: 0.7163 - accuracy: 0.4375
3/338 [..............................] - ETA: 18s - loss: 0.7151 - accuracy: 0.4479
4/338 [..............................] - ETA: 17s - loss: 0.7130 - accuracy: 0.4688
5/338 [..............................] - ETA: 17s - loss: 0.7121 - accuracy: 0.4750
6/338 [..............................] - ETA: 17s - loss: 0.7115 - accuracy: 0.4792
7/338 [..............................] - ETA: 17s - loss: 0.7098 - accuracy: 0.4955
8/338 [..............................] - ETA: 17s - loss: 0.7099 - accuracy: 0.4922
9/338 [..............................] - ETA: 17s - loss: 0.7104 - accuracy: 0.4826
10/338 [..............................] - ETA: 17s - loss: 0.7102 - accuracy: 0.4812
11/338 [..............................] - ETA: 17s - loss: 0.7088 - accuracy: 0.4972
12/338 [>.............................] - ETA: 17s - loss: 0.7081 - accuracy: 0.5026
13/338 [>.............................] - ETA: 17s - loss: 0.7079 - accuracy: 0.5024
14/338 [>.............................] - ETA: 17s - loss: 0.7068 - accuracy: 0.5134
15/338 [>.............................] - ETA: 17s - loss: 0.7069 - accuracy: 0.5104
16/338 [>.............................] - ETA: 17s - loss: 0.7064 - accuracy: 0.5137
17/338 [>.............................] - ETA: 17s - loss: 0.7060 - accuracy: 0.5165
18/338 [>.............................] - ETA: 17s - loss: 0.7056 - accuracy: 0.5191
19/338 [>.............................] - ETA: 17s - loss: 0.7055 - accuracy: 0.5181
20/338 [>.............................] - ETA: 17s - loss: 0.7058 - accuracy: 0.5109
21/338 [>.............................] - ETA: 17s - loss: 0.7056 - accuracy: 0.5119
22/338 [>.............................] - ETA: 17s - loss: 0.7045 - accuracy: 0.5227
23/338 [=>............................] - ETA: 17s - loss: 0.7043 - accuracy: 0.5231
24/338 [=>............................] - ETA: 16s - loss: 0.7038 - accuracy: 0.5273
25/338 [=>............................] - ETA: 16s - loss: 0.7039 - accuracy: 0.5238
26/338 [=>............................] - ETA: 16s - loss: 0.7036 - accuracy: 0.5252
27/338 [=>............................] - ETA: 16s - loss: 0.7035 - accuracy: 0.5243
28/338 [=>............................] - ETA: 16s - loss: 0.7031 - accuracy: 0.5279
29/338 [=>............................] - ETA: 16s - loss: 0.7033 - accuracy: 0.5237
30/338 [=>............................] - ETA: 16s - loss: 0.7027 - accuracy: 0.5281
31/338 [=>............................] - ETA: 16s - loss: 0.7031 - accuracy: 0.5222
32/338 [=>............................] - ETA: 16s - loss: 0.7027 - accuracy: 0.5254
33/338 [=>............................] - ETA: 16s - loss: 0.7027 - accuracy: 0.5237
34/338 [==>...........................] - ETA: 16s - loss: 0.7022 - accuracy: 0.5276
35/338 [==>...........................] - ETA: 16s - loss: 0.7021 - accuracy: 0.5268
36/338 [==>...........................] - ETA: 16s - loss: 0.7018 - accuracy: 0.5286
37/338 [==>...........................] - ETA: 16s - loss: 0.7017 - accuracy: 0.5287
38/338 [==>...........................] - ETA: 16s - loss: 0.7014 - accuracy: 0.5312
39/338 [==>...........................] - ETA: 16s - loss: 0.7009 - accuracy: 0.5353
40/338 [==>...........................] - ETA: 16s - loss: 0.7010 - accuracy: 0.5328
41/338 [==>...........................] - ETA: 16s - loss: 0.7011 - accuracy: 0.5297
42/338 [==>...........................] - ETA: 15s - loss: 0.7014 - accuracy: 0.5253
43/338 [==>...........................] - ETA: 15s - loss: 0.7010 - accuracy: 0.5283
44/338 [==>...........................] - ETA: 15s - loss: 0.7010 - accuracy: 0.5277
45/338 [==>...........................] - ETA: 15s - loss: 0.7008 - accuracy: 0.5278
46/338 [===>..........................] - ETA: 15s - loss: 0.7007 - accuracy: 0.5279
47/338 [===>..........................] - ETA: 15s - loss: 0.7007 - accuracy: 0.5266
48/338 [===>..........................] - ETA: 15s - loss: 0.7008 - accuracy: 0.5247
49/338 [===>..........................] - ETA: 15s - loss: 0.7011 - accuracy: 0.5204
50/338 [===>..........................] - ETA: 15s - loss: 0.7009 - accuracy: 0.5219
51/338 [===>..........................] - ETA: 15s - loss: 0.7009 - accuracy: 0.5208
52/338 [===>..........................] - ETA: 15s - loss: 0.7006 - accuracy: 0.5222
53/338 [===>..........................] - ETA: 15s - loss: 0.7005 - accuracy: 0.5224
54/338 [===>..........................] - ETA: 15s - loss: 0.7004 - accuracy: 0.5226
55/338 [===>..........................] - ETA: 15s - loss: 0.7003 - accuracy: 0.5233
56/338 [===>..........................] - ETA: 15s - loss: 0.7000 - accuracy: 0.5257
57/338 [====>.........................] - ETA: 15s - loss: 0.6999 - accuracy: 0.5252
58/338 [====>.........................] - ETA: 15s - loss: 0.6997 - accuracy: 0.5264
59/338 [====>.........................] - ETA: 15s - loss: 0.6999 - accuracy: 0.5233
60/338 [====>.........................] - ETA: 14s - loss: 0.6999 - accuracy: 0.5229
61/338 [====>.........................] - ETA: 14s - loss: 0.6997 - accuracy: 0.5241
62/338 [====>.........................] - ETA: 14s - loss: 0.6995 - accuracy: 0.5252
63/338 [====>.........................] - ETA: 14s - loss: 0.6993 - accuracy: 0.5268
64/338 [====>.........................] - ETA: 14s - loss: 0.6991 - accuracy: 0.5288
65/338 [====>.........................] - ETA: 14s - loss: 0.6989 - accuracy: 0.5303
66/338 [====>.........................] - ETA: 14s - loss: 0.6987 - accuracy: 0.5317
67/338 [====>.........................] - ETA: 14s - loss: 0.6985 - accuracy: 0.5331
68/338 [=====>........................] - ETA: 14s - loss: 0.6984 - accuracy: 0.5326
69/338 [=====>........................] - ETA: 14s - loss: 0.6984 - accuracy: 0.5322
70/338 [=====>........................] - ETA: 14s - loss: 0.6983 - accuracy: 0.5326
71/338 [=====>........................] - ETA: 14s - loss: 0.6982 - accuracy: 0.5326
72/338 [=====>........................] - ETA: 14s - loss: 0.6984 - accuracy: 0.5308
73/338 [=====>........................] - ETA: 14s - loss: 0.6982 - accuracy: 0.5321
74/338 [=====>........................] - ETA: 14s - loss: 0.6981 - accuracy: 0.5325
75/338 [=====>........................] - ETA: 14s - loss: 0.6981 - accuracy: 0.5317
76/338 [=====>........................] - ETA: 14s - loss: 0.6979 - accuracy: 0.5325
77/338 [=====>........................] - ETA: 14s - loss: 0.6978 - accuracy: 0.5329
78/338 [=====>........................] - ETA: 14s - loss: 0.6977 - accuracy: 0.5341
79/338 [======>.......................] - ETA: 13s - loss: 0.6977 - accuracy: 0.5332
80/338 [======>.......................] - ETA: 13s - loss: 0.6976 - accuracy: 0.5340
81/338 [======>.......................] - ETA: 13s - loss: 0.6974 - accuracy: 0.5347
82/338 [======>.......................] - ETA: 13s - loss: 0.6971 - accuracy: 0.5370
83/338 [======>.......................] - ETA: 13s - loss: 0.6972 - accuracy: 0.5358
84/338 [======>.......................] - ETA: 13s - loss: 0.6973 - accuracy: 0.5350
85/338 [======>.......................] - ETA: 13s - loss: 0.6974 - accuracy: 0.5335
86/338 [======>.......................] - ETA: 13s - loss: 0.6974 - accuracy: 0.5331
87/338 [======>.......................] - ETA: 13s - loss: 0.6972 - accuracy: 0.5338
88/338 [======>.......................] - ETA: 13s - loss: 0.6973 - accuracy: 0.5330
89/338 [======>.......................] - ETA: 13s - loss: 0.6972 - accuracy: 0.5334
90/338 [======>.......................] - ETA: 13s - loss: 0.6970 - accuracy: 0.5344
91/338 [=======>......................] - ETA: 13s - loss: 0.6971 - accuracy: 0.5333
92/338 [=======>......................] - ETA: 13s - loss: 0.6970 - accuracy: 0.5333
93/338 [=======>......................] - ETA: 13s - loss: 0.6969 - accuracy: 0.5339
94/338 [=======>......................] - ETA: 13s - loss: 0.6968 - accuracy: 0.5346
95/338 [=======>......................] - ETA: 13s - loss: 0.6968 - accuracy: 0.5342
96/338 [=======>......................] - ETA: 13s - loss: 0.6970 - accuracy: 0.5326
97/338 [=======>......................] - ETA: 12s - loss: 0.6969 - accuracy: 0.5329
98/338 [=======>......................] - ETA: 12s - loss: 0.6968 - accuracy: 0.5335
99/338 [=======>......................] - ETA: 12s - loss: 0.6968 - accuracy: 0.5325
100/338 [=======>......................] - ETA: 12s - loss: 0.6967 - accuracy: 0.5334
101/338 [=======>......................] - ETA: 12s - loss: 0.6967 - accuracy: 0.5334
102/338 [========>.....................] - ETA: 12s - loss: 0.6967 - accuracy: 0.5328
103/338 [========>.....................] - ETA: 12s - loss: 0.6968 - accuracy: 0.5316
104/338 [========>.....................] - ETA: 12s - loss: 0.6966 - accuracy: 0.5325
105/338 [========>.....................] - ETA: 12s - loss: 0.6965 - accuracy: 0.5330
106/338 [========>.....................] - ETA: 12s - loss: 0.6964 - accuracy: 0.5339
107/338 [========>.....................] - ETA: 12s - loss: 0.6964 - accuracy: 0.5336
108/338 [========>.....................] - ETA: 12s - loss: 0.6963 - accuracy: 0.5344
109/338 [========>.....................] - ETA: 12s - loss: 0.6961 - accuracy: 0.5353
110/338 [========>.....................] - ETA: 12s - loss: 0.6960 - accuracy: 0.5364
111/338 [========>.....................] - ETA: 12s - loss: 0.6960 - accuracy: 0.5360
112/338 [========>.....................] - ETA: 12s - loss: 0.6960 - accuracy: 0.5357
113/338 [=========>....................] - ETA: 12s - loss: 0.6960 - accuracy: 0.5357
114/338 [=========>....................] - ETA: 12s - loss: 0.6962 - accuracy: 0.5337
115/338 [=========>....................] - ETA: 11s - loss: 0.6962 - accuracy: 0.5334
116/338 [=========>....................] - ETA: 11s - loss: 0.6961 - accuracy: 0.5337
117/338 [=========>....................] - ETA: 11s - loss: 0.6959 - accuracy: 0.5347
118/338 [=========>....................] - ETA: 11s - loss: 0.6958 - accuracy: 0.5355
119/338 [=========>....................] - ETA: 11s - loss: 0.6959 - accuracy: 0.5349
120/338 [=========>....................] - ETA: 11s - loss: 0.6958 - accuracy: 0.5354
121/338 [=========>....................] - ETA: 11s - loss: 0.6957 - accuracy: 0.5354
122/338 [=========>....................] - ETA: 11s - loss: 0.6958 - accuracy: 0.5346
123/338 [=========>....................] - ETA: 11s - loss: 0.6957 - accuracy: 0.5351
124/338 [==========>...................] - ETA: 11s - loss: 0.6957 - accuracy: 0.5353
125/338 [==========>...................] - ETA: 11s - loss: 0.6956 - accuracy: 0.5353
126/338 [==========>...................] - ETA: 11s - loss: 0.6956 - accuracy: 0.5350
127/338 [==========>...................] - ETA: 11s - loss: 0.6955 - accuracy: 0.5359
128/338 [==========>...................] - ETA: 11s - loss: 0.6953 - accuracy: 0.5369
129/338 [==========>...................] - ETA: 11s - loss: 0.6954 - accuracy: 0.5361
130/338 [==========>...................] - ETA: 11s - loss: 0.6954 - accuracy: 0.5361
131/338 [==========>...................] - ETA: 11s - loss: 0.6955 - accuracy: 0.5351
132/338 [==========>...................] - ETA: 11s - loss: 0.6955 - accuracy: 0.5343
133/338 [==========>...................] - ETA: 11s - loss: 0.6955 - accuracy: 0.5343
134/338 [==========>...................] - ETA: 10s - loss: 0.6955 - accuracy: 0.5338
135/338 [==========>...................] - ETA: 10s - loss: 0.6957 - accuracy: 0.5324
136/338 [===========>..................] - ETA: 10s - loss: 0.6956 - accuracy: 0.5326
137/338 [===========>..................] - ETA: 10s - loss: 0.6956 - accuracy: 0.5324
138/338 [===========>..................] - ETA: 10s - loss: 0.6958 - accuracy: 0.5310
139/338 [===========>..................] - ETA: 10s - loss: 0.6957 - accuracy: 0.5310
140/338 [===========>..................] - ETA: 10s - loss: 0.6957 - accuracy: 0.5310
141/338 [===========>..................] - ETA: 10s - loss: 0.6957 - accuracy: 0.5306
142/338 [===========>..................] - ETA: 10s - loss: 0.6957 - accuracy: 0.5310
143/338 [===========>..................] - ETA: 10s - loss: 0.6956 - accuracy: 0.5308
144/338 [===========>..................] - ETA: 10s - loss: 0.6956 - accuracy: 0.5306
145/338 [===========>..................] - ETA: 10s - loss: 0.6956 - accuracy: 0.5306
146/338 [===========>..................] - ETA: 10s - loss: 0.6955 - accuracy: 0.5317
147/338 [============>.................] - ETA: 10s - loss: 0.6955 - accuracy: 0.5317
148/338 [============>.................] - ETA: 10s - loss: 0.6954 - accuracy: 0.5317
149/338 [============>.................] - ETA: 10s - loss: 0.6954 - accuracy: 0.5315
150/338 [============>.................] - ETA: 10s - loss: 0.6954 - accuracy: 0.5317
151/338 [============>.................] - ETA: 10s - loss: 0.6955 - accuracy: 0.5306
152/338 [============>.................] - ETA: 10s - loss: 0.6955 - accuracy: 0.5302
153/338 [============>.................] - ETA: 9s - loss: 0.6956 - accuracy: 0.5290
154/338 [============>.................] - ETA: 9s - loss: 0.6955 - accuracy: 0.5298
155/338 [============>.................] - ETA: 9s - loss: 0.6955 - accuracy: 0.5298
156/338 [============>.................] - ETA: 9s - loss: 0.6954 - accuracy: 0.5300
157/338 [============>.................] - ETA: 9s - loss: 0.6955 - accuracy: 0.5293
158/338 [=============>................] - ETA: 9s - loss: 0.6954 - accuracy: 0.5299
159/338 [=============>................] - ETA: 9s - loss: 0.6954 - accuracy: 0.5301
160/338 [=============>................] - ETA: 9s - loss: 0.6954 - accuracy: 0.5297
161/338 [=============>................] - ETA: 9s - loss: 0.6954 - accuracy: 0.5289
162/338 [=============>................] - ETA: 9s - loss: 0.6954 - accuracy: 0.5287
163/338 [=============>................] - ETA: 9s - loss: 0.6953 - accuracy: 0.5293
164/338 [=============>................] - ETA: 9s - loss: 0.6954 - accuracy: 0.5286
165/338 [=============>................] - ETA: 9s - loss: 0.6954 - accuracy: 0.5288
166/338 [=============>................] - ETA: 9s - loss: 0.6954 - accuracy: 0.5279
167/338 [=============>................] - ETA: 9s - loss: 0.6954 - accuracy: 0.5277
168/338 [=============>................] - ETA: 9s - loss: 0.6954 - accuracy: 0.5279
169/338 [==============>...............] - ETA: 9s - loss: 0.6953 - accuracy: 0.5283
170/338 [==============>...............] - ETA: 9s - loss: 0.6954 - accuracy: 0.5278
171/338 [==============>...............] - ETA: 8s - loss: 0.6954 - accuracy: 0.5270
172/338 [==============>...............] - ETA: 8s - loss: 0.6954 - accuracy: 0.5271
173/338 [==============>...............] - ETA: 8s - loss: 0.6954 - accuracy: 0.5269
174/338 [==============>...............] - ETA: 8s - loss: 0.6955 - accuracy: 0.5260
175/338 [==============>...............] - ETA: 8s - loss: 0.6955 - accuracy: 0.5259
176/338 [==============>...............] - ETA: 8s - loss: 0.6955 - accuracy: 0.5259
177/338 [==============>...............] - ETA: 8s - loss: 0.6955 - accuracy: 0.5258
178/338 [==============>...............] - ETA: 8s - loss: 0.6954 - accuracy: 0.5258
179/338 [==============>...............] - ETA: 8s - loss: 0.6954 - accuracy: 0.5262
180/338 [==============>...............] - ETA: 8s - loss: 0.6954 - accuracy: 0.5262
181/338 [===============>..............] - ETA: 8s - loss: 0.6954 - accuracy: 0.5261
182/338 [===============>..............] - ETA: 8s - loss: 0.6954 - accuracy: 0.5256
183/338 [===============>..............] - ETA: 8s - loss: 0.6954 - accuracy: 0.5249
184/338 [===============>..............] - ETA: 8s - loss: 0.6954 - accuracy: 0.5255
185/338 [===============>..............] - ETA: 8s - loss: 0.6953 - accuracy: 0.5264
186/338 [===============>..............] - ETA: 8s - loss: 0.6953 - accuracy: 0.5260
187/338 [===============>..............] - ETA: 8s - loss: 0.6953 - accuracy: 0.5256
188/338 [===============>..............] - ETA: 8s - loss: 0.6953 - accuracy: 0.5253
189/338 [===============>..............] - ETA: 8s - loss: 0.6954 - accuracy: 0.5248
190/338 [===============>..............] - ETA: 7s - loss: 0.6953 - accuracy: 0.5247
191/338 [===============>..............] - ETA: 7s - loss: 0.6953 - accuracy: 0.5254
192/338 [================>.............] - ETA: 7s - loss: 0.6953 - accuracy: 0.5249
193/338 [================>.............] - ETA: 7s - loss: 0.6953 - accuracy: 0.5248
194/338 [================>.............] - ETA: 7s - loss: 0.6953 - accuracy: 0.5248
195/338 [================>.............] - ETA: 7s - loss: 0.6953 - accuracy: 0.5245
196/338 [================>.............] - ETA: 7s - loss: 0.6952 - accuracy: 0.5249
197/338 [================>.............] - ETA: 7s - loss: 0.6952 - accuracy: 0.5251
198/338 [================>.............] - ETA: 7s - loss: 0.6952 - accuracy: 0.5248
199/338 [================>.............] - ETA: 7s - loss: 0.6952 - accuracy: 0.5243
200/338 [================>.............] - ETA: 7s - loss: 0.6952 - accuracy: 0.5247
201/338 [================>.............] - ETA: 7s - loss: 0.6952 - accuracy: 0.5243
202/338 [================>.............] - ETA: 7s - loss: 0.6952 - accuracy: 0.5240
203/338 [=================>............] - ETA: 7s - loss: 0.6952 - accuracy: 0.5240
204/338 [=================>............] - ETA: 7s - loss: 0.6952 - accuracy: 0.5234
205/338 [=================>............] - ETA: 7s - loss: 0.6953 - accuracy: 0.5227
206/338 [=================>............] - ETA: 7s - loss: 0.6952 - accuracy: 0.5229
207/338 [=================>............] - ETA: 7s - loss: 0.6952 - accuracy: 0.5226
208/338 [=================>............] - ETA: 6s - loss: 0.6952 - accuracy: 0.5230
209/338 [=================>............] - ETA: 6s - loss: 0.6951 - accuracy: 0.5232
210/338 [=================>............] - ETA: 6s - loss: 0.6951 - accuracy: 0.5238
211/338 [=================>............] - ETA: 6s - loss: 0.6951 - accuracy: 0.5233
212/338 [=================>............] - ETA: 6s - loss: 0.6950 - accuracy: 0.5239
213/338 [=================>............] - ETA: 6s - loss: 0.6950 - accuracy: 0.5241
214/338 [=================>............] - ETA: 6s - loss: 0.6950 - accuracy: 0.5242
215/338 [==================>...........] - ETA: 6s - loss: 0.6949 - accuracy: 0.5247
216/338 [==================>...........] - ETA: 6s - loss: 0.6949 - accuracy: 0.5253
217/338 [==================>...........] - ETA: 6s - loss: 0.6949 - accuracy: 0.5252
218/338 [==================>...........] - ETA: 6s - loss: 0.6948 - accuracy: 0.5257
219/338 [==================>...........] - ETA: 6s - loss: 0.6948 - accuracy: 0.5253
220/338 [==================>...........] - ETA: 6s - loss: 0.6948 - accuracy: 0.5251
221/338 [==================>...........] - ETA: 6s - loss: 0.6948 - accuracy: 0.5252
222/338 [==================>...........] - ETA: 6s - loss: 0.6948 - accuracy: 0.5255
223/338 [==================>...........] - ETA: 6s - loss: 0.6947 - accuracy: 0.5258
224/338 [==================>...........] - ETA: 6s - loss: 0.6947 - accuracy: 0.5261
225/338 [==================>...........] - ETA: 6s - loss: 0.6947 - accuracy: 0.5264
226/338 [===================>..........] - ETA: 6s - loss: 0.6946 - accuracy: 0.5268
227/338 [===================>..........] - ETA: 5s - loss: 0.6946 - accuracy: 0.5267
228/338 [===================>..........] - ETA: 5s - loss: 0.6946 - accuracy: 0.5263
229/338 [===================>..........] - ETA: 5s - loss: 0.6945 - accuracy: 0.5276
230/338 [===================>..........] - ETA: 5s - loss: 0.6944 - accuracy: 0.5277
231/338 [===================>..........] - ETA: 5s - loss: 0.6945 - accuracy: 0.5273
232/338 [===================>..........] - ETA: 5s - loss: 0.6944 - accuracy: 0.5277
233/338 [===================>..........] - ETA: 5s - loss: 0.6944 - accuracy: 0.5276
234/338 [===================>..........] - ETA: 5s - loss: 0.6944 - accuracy: 0.5279
235/338 [===================>..........] - ETA: 5s - loss: 0.6944 - accuracy: 0.5274
236/338 [===================>..........] - ETA: 5s - loss: 0.6944 - accuracy: 0.5278
237/338 [====================>.........] - ETA: 5s - loss: 0.6944 - accuracy: 0.5276
238/338 [====================>.........] - ETA: 5s - loss: 0.6944 - accuracy: 0.5276
239/338 [====================>.........] - ETA: 5s - loss: 0.6943 - accuracy: 0.5282
240/338 [====================>.........] - ETA: 5s - loss: 0.6943 - accuracy: 0.5280
241/338 [====================>.........] - ETA: 5s - loss: 0.6943 - accuracy: 0.5279
242/338 [====================>.........] - ETA: 5s - loss: 0.6943 - accuracy: 0.5280
243/338 [====================>.........] - ETA: 5s - loss: 0.6942 - accuracy: 0.5283
244/338 [====================>.........] - ETA: 5s - loss: 0.6942 - accuracy: 0.5284
245/338 [====================>.........] - ETA: 5s - loss: 0.6942 - accuracy: 0.5284
246/338 [====================>.........] - ETA: 4s - loss: 0.6942 - accuracy: 0.5285
247/338 [====================>.........] - ETA: 4s - loss: 0.6941 - accuracy: 0.5291
248/338 [=====================>........] - ETA: 4s - loss: 0.6941 - accuracy: 0.5289
249/338 [=====================>........] - ETA: 4s - loss: 0.6941 - accuracy: 0.5290
250/338 [=====================>........] - ETA: 4s - loss: 0.6941 - accuracy: 0.5289
251/338 [=====================>........] - ETA: 4s - loss: 0.6940 - accuracy: 0.5291
252/338 [=====================>........] - ETA: 4s - loss: 0.6940 - accuracy: 0.5291
253/338 [=====================>........] - ETA: 4s - loss: 0.6941 - accuracy: 0.5287
254/338 [=====================>........] - ETA: 4s - loss: 0.6941 - accuracy: 0.5284
255/338 [=====================>........] - ETA: 4s - loss: 0.6941 - accuracy: 0.5279
256/338 [=====================>........] - ETA: 4s - loss: 0.6941 - accuracy: 0.5278
257/338 [=====================>........] - ETA: 4s - loss: 0.6941 - accuracy: 0.5283
258/338 [=====================>........] - ETA: 4s - loss: 0.6941 - accuracy: 0.5277
259/338 [=====================>........] - ETA: 4s - loss: 0.6941 - accuracy: 0.5275
260/338 [======================>.......] - ETA: 4s - loss: 0.6941 - accuracy: 0.5278
261/338 [======================>.......] - ETA: 4s - loss: 0.6941 - accuracy: 0.5275
262/338 [======================>.......] - ETA: 4s - loss: 0.6941 - accuracy: 0.5278
263/338 [======================>.......] - ETA: 4s - loss: 0.6941 - accuracy: 0.5276
264/338 [======================>.......] - ETA: 4s - loss: 0.6940 - accuracy: 0.5277
265/338 [======================>.......] - ETA: 3s - loss: 0.6940 - accuracy: 0.5282
266/338 [======================>.......] - ETA: 3s - loss: 0.6939 - accuracy: 0.5288
267/338 [======================>.......] - ETA: 3s - loss: 0.6939 - accuracy: 0.5287
268/338 [======================>.......] - ETA: 3s - loss: 0.6939 - accuracy: 0.5283
269/338 [======================>.......] - ETA: 3s - loss: 0.6939 - accuracy: 0.5280
270/338 [======================>.......] - ETA: 3s - loss: 0.6939 - accuracy: 0.5279
271/338 [=======================>......] - ETA: 3s - loss: 0.6939 - accuracy: 0.5283
272/338 [=======================>......] - ETA: 3s - loss: 0.6939 - accuracy: 0.5279
273/338 [=======================>......] - ETA: 3s - loss: 0.6940 - accuracy: 0.5275
274/338 [=======================>......] - ETA: 3s - loss: 0.6940 - accuracy: 0.5271
275/338 [=======================>......] - ETA: 3s - loss: 0.6940 - accuracy: 0.5269
276/338 [=======================>......] - ETA: 3s - loss: 0.6940 - accuracy: 0.5269
277/338 [=======================>......] - ETA: 3s - loss: 0.6939 - accuracy: 0.5275
278/338 [=======================>......] - ETA: 3s - loss: 0.6938 - accuracy: 0.5281
279/338 [=======================>......] - ETA: 3s - loss: 0.6938 - accuracy: 0.5281
280/338 [=======================>......] - ETA: 3s - loss: 0.6938 - accuracy: 0.5280
281/338 [=======================>......] - ETA: 3s - loss: 0.6938 - accuracy: 0.5276
282/338 [========================>.....] - ETA: 3s - loss: 0.6938 - accuracy: 0.5283
283/338 [========================>.....] - ETA: 2s - loss: 0.6938 - accuracy: 0.5282
284/338 [========================>.....] - ETA: 2s - loss: 0.6938 - accuracy: 0.5277
285/338 [========================>.....] - ETA: 2s - loss: 0.6938 - accuracy: 0.5275
286/338 [========================>.....] - ETA: 2s - loss: 0.6938 - accuracy: 0.5273
287/338 [========================>.....] - ETA: 2s - loss: 0.6938 - accuracy: 0.5275
288/338 [========================>.....] - ETA: 2s - loss: 0.6937 - accuracy: 0.5277
289/338 [========================>.....] - ETA: 2s - loss: 0.6937 - accuracy: 0.5281
290/338 [========================>.....] - ETA: 2s - loss: 0.6937 - accuracy: 0.5280
291/338 [========================>.....] - ETA: 2s - loss: 0.6937 - accuracy: 0.5279
292/338 [========================>.....] - ETA: 2s - loss: 0.6937 - accuracy: 0.5280
293/338 [=========================>....] - ETA: 2s - loss: 0.6936 - accuracy: 0.5282
294/338 [=========================>....] - ETA: 2s - loss: 0.6937 - accuracy: 0.5277
295/338 [=========================>....] - ETA: 2s - loss: 0.6937 - accuracy: 0.5278
296/338 [=========================>....] - ETA: 2s - loss: 0.6937 - accuracy: 0.5278
297/338 [=========================>....] - ETA: 2s - loss: 0.6936 - accuracy: 0.5278
298/338 [=========================>....] - ETA: 2s - loss: 0.6937 - accuracy: 0.5275
299/338 [=========================>....] - ETA: 2s - loss: 0.6937 - accuracy: 0.5274
300/338 [=========================>....] - ETA: 2s - loss: 0.6936 - accuracy: 0.5277
301/338 [=========================>....] - ETA: 2s - loss: 0.6936 - accuracy: 0.5278
302/338 [=========================>....] - ETA: 1s - loss: 0.6937 - accuracy: 0.5273
303/338 [=========================>....] - ETA: 1s - loss: 0.6936 - accuracy: 0.5276
304/338 [=========================>....] - ETA: 1s - loss: 0.6936 - accuracy: 0.5273
305/338 [==========================>...] - ETA: 1s - loss: 0.6937 - accuracy: 0.5269
306/338 [==========================>...] - ETA: 1s - loss: 0.6936 - accuracy: 0.5272
307/338 [==========================>...] - ETA: 1s - loss: 0.6936 - accuracy: 0.5273
308/338 [==========================>...] - ETA: 1s - loss: 0.6936 - accuracy: 0.5275
309/338 [==========================>...] - ETA: 1s - loss: 0.6936 - accuracy: 0.5274
310/338 [==========================>...] - ETA: 1s - loss: 0.6935 - accuracy: 0.5280
311/338 [==========================>...] - ETA: 1s - loss: 0.6934 - accuracy: 0.5282
312/338 [==========================>...] - ETA: 1s - loss: 0.6934 - accuracy: 0.5284
313/338 [==========================>...] - ETA: 1s - loss: 0.6934 - accuracy: 0.5283
314/338 [==========================>...] - ETA: 1s - loss: 0.6934 - accuracy: 0.5284
315/338 [==========================>...] - ETA: 1s - loss: 0.6934 - accuracy: 0.5282
316/338 [===========================>..] - ETA: 1s - loss: 0.6934 - accuracy: 0.5279
317/338 [===========================>..] - ETA: 1s - loss: 0.6934 - accuracy: 0.5280
318/338 [===========================>..] - ETA: 1s - loss: 0.6934 - accuracy: 0.5278
319/338 [===========================>..] - ETA: 1s - loss: 0.6934 - accuracy: 0.5279
320/338 [===========================>..] - ETA: 0s - loss: 0.6934 - accuracy: 0.5275
321/338 [===========================>..] - ETA: 0s - loss: 0.6934 - accuracy: 0.5278
322/338 [===========================>..] - ETA: 0s - loss: 0.6934 - accuracy: 0.5278
323/338 [===========================>..] - ETA: 0s - loss: 0.6933 - accuracy: 0.5282
324/338 [===========================>..] - ETA: 0s - loss: 0.6933 - accuracy: 0.5279
325/338 [===========================>..] - ETA: 0s - loss: 0.6933 - accuracy: 0.5284
326/338 [===========================>..] - ETA: 0s - loss: 0.6933 - accuracy: 0.5284
327/338 [============================>.] - ETA: 0s - loss: 0.6932 - accuracy: 0.5287
328/338 [============================>.] - ETA: 0s - loss: 0.6933 - accuracy: 0.5283
329/338 [============================>.] - ETA: 0s - loss: 0.6933 - accuracy: 0.5282
330/338 [============================>.] - ETA: 0s - loss: 0.6933 - accuracy: 0.5278
331/338 [============================>.] - ETA: 0s - loss: 0.6933 - accuracy: 0.5279
332/338 [============================>.] - ETA: 0s - loss: 0.6933 - accuracy: 0.5274
333/338 [============================>.] - ETA: 0s - loss: 0.6933 - accuracy: 0.5278
334/338 [============================>.] - ETA: 0s - loss: 0.6933 - accuracy: 0.5273
335/338 [============================>.] - ETA: 0s - loss: 0.6934 - accuracy: 0.5270
336/338 [============================>.] - ETA: 0s - loss: 0.6934 - accuracy: 0.5268
337/338 [============================>.] - ETA: 0s - loss: 0.6933 - accuracy: 0.5270
338/338 [==============================] - 21s 59ms/step - loss: 0.6933 - accuracy: 0.5271 - val_loss: 0.6910 - val_accuracy: 0.5235
Epoch 2/5
1/338 [..............................] - ETA: 18s - loss: 0.6975 - accuracy: 0.5000
2/338 [..............................] - ETA: 18s - loss: 0.6861 - accuracy: 0.5781
3/338 [..............................] - ETA: 18s - loss: 0.6863 - accuracy: 0.5729
4/338 [..............................] - ETA: 17s - loss: 0.6921 - accuracy: 0.5156
5/338 [..............................] - ETA: 18s - loss: 0.6928 - accuracy: 0.5125
6/338 [..............................] - ETA: 17s - loss: 0.6914 - accuracy: 0.5208
7/338 [..............................] - ETA: 17s - loss: 0.6907 - accuracy: 0.5268
8/338 [..............................] - ETA: 17s - loss: 0.6924 - accuracy: 0.5156
9/338 [..............................] - ETA: 17s - loss: 0.6906 - accuracy: 0.5312
10/338 [..............................] - ETA: 17s - loss: 0.6906 - accuracy: 0.5312
11/338 [..............................] - ETA: 17s - loss: 0.6895 - accuracy: 0.5398
12/338 [>.............................] - ETA: 17s - loss: 0.6898 - accuracy: 0.5365
13/338 [>.............................] - ETA: 17s - loss: 0.6905 - accuracy: 0.5288
14/338 [>.............................] - ETA: 17s - loss: 0.6895 - accuracy: 0.5379
15/338 [>.............................] - ETA: 17s - loss: 0.6893 - accuracy: 0.5396
16/338 [>.............................] - ETA: 17s - loss: 0.6894 - accuracy: 0.5391
17/338 [>.............................] - ETA: 17s - loss: 0.6897 - accuracy: 0.5368
18/338 [>.............................] - ETA: 17s - loss: 0.6890 - accuracy: 0.5434
19/338 [>.............................] - ETA: 17s - loss: 0.6887 - accuracy: 0.5461
20/338 [>.............................] - ETA: 16s - loss: 0.6891 - accuracy: 0.5422
21/338 [>.............................] - ETA: 16s - loss: 0.6893 - accuracy: 0.5387
22/338 [>.............................] - ETA: 16s - loss: 0.6884 - accuracy: 0.5455
23/338 [=>............................] - ETA: 16s - loss: 0.6879 - accuracy: 0.5489
24/338 [=>............................] - ETA: 16s - loss: 0.6876 - accuracy: 0.5508
25/338 [=>............................] - ETA: 16s - loss: 0.6874 - accuracy: 0.5537
26/338 [=>............................] - ETA: 16s - loss: 0.6881 - accuracy: 0.5469
27/338 [=>............................] - ETA: 16s - loss: 0.6885 - accuracy: 0.5417
28/338 [=>............................] - ETA: 16s - loss: 0.6882 - accuracy: 0.5446
29/338 [=>............................] - ETA: 16s - loss: 0.6876 - accuracy: 0.5485
30/338 [=>............................] - ETA: 16s - loss: 0.6878 - accuracy: 0.5469
31/338 [=>............................] - ETA: 16s - loss: 0.6881 - accuracy: 0.5444
32/338 [=>............................] - ETA: 16s - loss: 0.6882 - accuracy: 0.5430
33/338 [=>............................] - ETA: 16s - loss: 0.6881 - accuracy: 0.5436
34/338 [==>...........................] - ETA: 16s - loss: 0.6885 - accuracy: 0.5404
35/338 [==>...........................] - ETA: 16s - loss: 0.6882 - accuracy: 0.5429
36/338 [==>...........................] - ETA: 16s - loss: 0.6881 - accuracy: 0.5443
37/338 [==>...........................] - ETA: 16s - loss: 0.6881 - accuracy: 0.5439
38/338 [==>...........................] - ETA: 16s - loss: 0.6881 - accuracy: 0.5444
39/338 [==>...........................] - ETA: 15s - loss: 0.6878 - accuracy: 0.5465
40/338 [==>...........................] - ETA: 15s - loss: 0.6878 - accuracy: 0.5461
41/338 [==>...........................] - ETA: 15s - loss: 0.6874 - accuracy: 0.5488
42/338 [==>...........................] - ETA: 15s - loss: 0.6878 - accuracy: 0.5461
43/338 [==>...........................] - ETA: 15s - loss: 0.6881 - accuracy: 0.5436
44/338 [==>...........................] - ETA: 15s - loss: 0.6883 - accuracy: 0.5419
45/338 [==>...........................] - ETA: 15s - loss: 0.6885 - accuracy: 0.5403
46/338 [===>..........................] - ETA: 15s - loss: 0.6885 - accuracy: 0.5401
47/338 [===>..........................] - ETA: 15s - loss: 0.6890 - accuracy: 0.5359
48/338 [===>..........................] - ETA: 15s - loss: 0.6890 - accuracy: 0.5358
49/338 [===>..........................] - ETA: 15s - loss: 0.6889 - accuracy: 0.5357
50/338 [===>..........................] - ETA: 15s - loss: 0.6889 - accuracy: 0.5362
51/338 [===>..........................] - ETA: 15s - loss: 0.6887 - accuracy: 0.5374
52/338 [===>..........................] - ETA: 15s - loss: 0.6891 - accuracy: 0.5349
53/338 [===>..........................] - ETA: 15s - loss: 0.6890 - accuracy: 0.5354
54/338 [===>..........................] - ETA: 15s - loss: 0.6889 - accuracy: 0.5365
55/338 [===>..........................] - ETA: 15s - loss: 0.6891 - accuracy: 0.5347
56/338 [===>..........................] - ETA: 15s - loss: 0.6891 - accuracy: 0.5340
57/338 [====>.........................] - ETA: 15s - loss: 0.6895 - accuracy: 0.5318
58/338 [====>.........................] - ETA: 15s - loss: 0.6896 - accuracy: 0.5296
59/338 [====>.........................] - ETA: 15s - loss: 0.6897 - accuracy: 0.5291
60/338 [====>.........................] - ETA: 14s - loss: 0.6896 - accuracy: 0.5292
61/338 [====>.........................] - ETA: 14s - loss: 0.6895 - accuracy: 0.5302
62/338 [====>.........................] - ETA: 14s - loss: 0.6894 - accuracy: 0.5318
63/338 [====>.........................] - ETA: 14s - loss: 0.6897 - accuracy: 0.5288
64/338 [====>.........................] - ETA: 14s - loss: 0.6896 - accuracy: 0.5298
65/338 [====>.........................] - ETA: 14s - loss: 0.6894 - accuracy: 0.5308
66/338 [====>.........................] - ETA: 14s - loss: 0.6894 - accuracy: 0.5308
67/338 [====>.........................] - ETA: 14s - loss: 0.6895 - accuracy: 0.5299
68/338 [=====>........................] - ETA: 14s - loss: 0.6894 - accuracy: 0.5303
69/338 [=====>........................] - ETA: 14s - loss: 0.6895 - accuracy: 0.5299
70/338 [=====>........................] - ETA: 14s - loss: 0.6896 - accuracy: 0.5295
71/338 [=====>........................] - ETA: 14s - loss: 0.6896 - accuracy: 0.5295
72/338 [=====>........................] - ETA: 14s - loss: 0.6892 - accuracy: 0.5326
73/338 [=====>........................] - ETA: 14s - loss: 0.6891 - accuracy: 0.5334
74/338 [=====>........................] - ETA: 14s - loss: 0.6891 - accuracy: 0.5334
75/338 [=====>........................] - ETA: 14s - loss: 0.6894 - accuracy: 0.5308
76/338 [=====>........................] - ETA: 14s - loss: 0.6894 - accuracy: 0.5308
77/338 [=====>........................] - ETA: 14s - loss: 0.6894 - accuracy: 0.5304
78/338 [=====>........................] - ETA: 13s - loss: 0.6896 - accuracy: 0.5292
79/338 [======>.......................] - ETA: 13s - loss: 0.6896 - accuracy: 0.5297
80/338 [======>.......................] - ETA: 13s - loss: 0.6893 - accuracy: 0.5309
81/338 [======>.......................] - ETA: 13s - loss: 0.6895 - accuracy: 0.5297
82/338 [======>.......................] - ETA: 13s - loss: 0.6897 - accuracy: 0.5286
83/338 [======>.......................] - ETA: 13s - loss: 0.6901 - accuracy: 0.5252
84/338 [======>.......................] - ETA: 13s - loss: 0.6900 - accuracy: 0.5257
85/338 [======>.......................] - ETA: 13s - loss: 0.6900 - accuracy: 0.5261
86/338 [======>.......................] - ETA: 13s - loss: 0.6899 - accuracy: 0.5265
87/338 [======>.......................] - ETA: 13s - loss: 0.6900 - accuracy: 0.5259
88/338 [======>.......................] - ETA: 13s - loss: 0.6901 - accuracy: 0.5249
89/338 [======>.......................] - ETA: 13s - loss: 0.6902 - accuracy: 0.5239
90/338 [======>.......................] - ETA: 13s - loss: 0.6903 - accuracy: 0.5233
91/338 [=======>......................] - ETA: 13s - loss: 0.6903 - accuracy: 0.5223
92/338 [=======>......................] - ETA: 13s - loss: 0.6901 - accuracy: 0.5238
93/338 [=======>......................] - ETA: 13s - loss: 0.6902 - accuracy: 0.5232
94/338 [=======>......................] - ETA: 13s - loss: 0.6901 - accuracy: 0.5239
95/338 [=======>......................] - ETA: 13s - loss: 0.6904 - accuracy: 0.5214
96/338 [=======>......................] - ETA: 13s - loss: 0.6904 - accuracy: 0.5215
97/338 [=======>......................] - ETA: 12s - loss: 0.6903 - accuracy: 0.5226
98/338 [=======>......................] - ETA: 12s - loss: 0.6903 - accuracy: 0.5220
99/338 [=======>......................] - ETA: 12s - loss: 0.6904 - accuracy: 0.5215
100/338 [=======>......................] - ETA: 12s - loss: 0.6903 - accuracy: 0.5222
101/338 [=======>......................] - ETA: 12s - loss: 0.6903 - accuracy: 0.5220
102/338 [========>.....................] - ETA: 12s - loss: 0.6904 - accuracy: 0.5208
103/338 [========>.....................] - ETA: 12s - loss: 0.6904 - accuracy: 0.5215
104/338 [========>.....................] - ETA: 12s - loss: 0.6904 - accuracy: 0.5204
105/338 [========>.....................] - ETA: 12s - loss: 0.6904 - accuracy: 0.5202
106/338 [========>.....................] - ETA: 12s - loss: 0.6904 - accuracy: 0.5203
107/338 [========>.....................] - ETA: 12s - loss: 0.6904 - accuracy: 0.5204
108/338 [========>.....................] - ETA: 12s - loss: 0.6904 - accuracy: 0.5208
109/338 [========>.....................] - ETA: 12s - loss: 0.6903 - accuracy: 0.5209
110/338 [========>.....................] - ETA: 12s - loss: 0.6903 - accuracy: 0.5222
111/338 [========>.....................] - ETA: 12s - loss: 0.6903 - accuracy: 0.5217
112/338 [========>.....................] - ETA: 12s - loss: 0.6903 - accuracy: 0.5212
113/338 [=========>....................] - ETA: 12s - loss: 0.6902 - accuracy: 0.5224
114/338 [=========>....................] - ETA: 12s - loss: 0.6901 - accuracy: 0.5228
115/338 [=========>....................] - ETA: 11s - loss: 0.6902 - accuracy: 0.5220
116/338 [=========>....................] - ETA: 11s - loss: 0.6902 - accuracy: 0.5213
117/338 [=========>....................] - ETA: 11s - loss: 0.6903 - accuracy: 0.5206
118/338 [=========>....................] - ETA: 11s - loss: 0.6903 - accuracy: 0.5201
119/338 [=========>....................] - ETA: 11s - loss: 0.6904 - accuracy: 0.5200
120/338 [=========>....................] - ETA: 11s - loss: 0.6903 - accuracy: 0.5201
121/338 [=========>....................] - ETA: 11s - loss: 0.6902 - accuracy: 0.5209
122/338 [=========>....................] - ETA: 11s - loss: 0.6902 - accuracy: 0.5210
123/338 [=========>....................] - ETA: 11s - loss: 0.6901 - accuracy: 0.5218
124/338 [==========>...................] - ETA: 11s - loss: 0.6901 - accuracy: 0.5219
125/338 [==========>...................] - ETA: 11s - loss: 0.6901 - accuracy: 0.5220
126/338 [==========>...................] - ETA: 11s - loss: 0.6902 - accuracy: 0.5216
127/338 [==========>...................] - ETA: 11s - loss: 0.6901 - accuracy: 0.5226
128/338 [==========>...................] - ETA: 11s - loss: 0.6902 - accuracy: 0.5217
129/338 [==========>...................] - ETA: 11s - loss: 0.6902 - accuracy: 0.5213
130/338 [==========>...................] - ETA: 11s - loss: 0.6901 - accuracy: 0.5226
131/338 [==========>...................] - ETA: 11s - loss: 0.6901 - accuracy: 0.5227
132/338 [==========>...................] - ETA: 11s - loss: 0.6900 - accuracy: 0.5232
133/338 [==========>...................] - ETA: 11s - loss: 0.6899 - accuracy: 0.5244
134/338 [==========>...................] - ETA: 10s - loss: 0.6900 - accuracy: 0.5238
135/338 [==========>...................] - ETA: 10s - loss: 0.6900 - accuracy: 0.5231
136/338 [===========>..................] - ETA: 10s - loss: 0.6901 - accuracy: 0.5221
137/338 [===========>..................] - ETA: 10s - loss: 0.6903 - accuracy: 0.5212
138/338 [===========>..................] - ETA: 10s - loss: 0.6903 - accuracy: 0.5208
139/338 [===========>..................] - ETA: 10s - loss: 0.6903 - accuracy: 0.5202
140/338 [===========>..................] - ETA: 10s - loss: 0.6903 - accuracy: 0.5208
141/338 [===========>..................] - ETA: 10s - loss: 0.6903 - accuracy: 0.5208
142/338 [===========>..................] - ETA: 10s - loss: 0.6902 - accuracy: 0.5213
143/338 [===========>..................] - ETA: 10s - loss: 0.6902 - accuracy: 0.5223
144/338 [===========>..................] - ETA: 10s - loss: 0.6903 - accuracy: 0.5211
145/338 [===========>..................] - ETA: 10s - loss: 0.6903 - accuracy: 0.5207
146/338 [===========>..................] - ETA: 10s - loss: 0.6903 - accuracy: 0.5205
147/338 [============>.................] - ETA: 10s - loss: 0.6903 - accuracy: 0.5213
148/338 [============>.................] - ETA: 10s - loss: 0.6903 - accuracy: 0.5211
149/338 [============>.................] - ETA: 10s - loss: 0.6904 - accuracy: 0.5206
150/338 [============>.................] - ETA: 10s - loss: 0.6904 - accuracy: 0.5204
151/338 [============>.................] - ETA: 10s - loss: 0.6903 - accuracy: 0.5211
152/338 [============>.................] - ETA: 9s - loss: 0.6903 - accuracy: 0.5212
153/338 [============>.................] - ETA: 9s - loss: 0.6902 - accuracy: 0.5210
154/338 [============>.................] - ETA: 9s - loss: 0.6901 - accuracy: 0.5221
155/338 [============>.................] - ETA: 9s - loss: 0.6900 - accuracy: 0.5232
156/338 [============>.................] - ETA: 9s - loss: 0.6900 - accuracy: 0.5230
157/338 [============>.................] - ETA: 9s - loss: 0.6900 - accuracy: 0.5237
158/338 [=============>................] - ETA: 9s - loss: 0.6900 - accuracy: 0.5239
159/338 [=============>................] - ETA: 9s - loss: 0.6900 - accuracy: 0.5238
160/338 [=============>................] - ETA: 9s - loss: 0.6900 - accuracy: 0.5232
161/338 [=============>................] - ETA: 9s - loss: 0.6900 - accuracy: 0.5233
162/338 [=============>................] - ETA: 9s - loss: 0.6901 - accuracy: 0.5226
163/338 [=============>................] - ETA: 9s - loss: 0.6901 - accuracy: 0.5222
164/338 [=============>................] - ETA: 9s - loss: 0.6901 - accuracy: 0.5229
165/338 [=============>................] - ETA: 9s - loss: 0.6900 - accuracy: 0.5237
166/338 [=============>................] - ETA: 9s - loss: 0.6900 - accuracy: 0.5235
167/338 [=============>................] - ETA: 9s - loss: 0.6900 - accuracy: 0.5234
168/338 [=============>................] - ETA: 9s - loss: 0.6900 - accuracy: 0.5236
169/338 [==============>...............] - ETA: 9s - loss: 0.6900 - accuracy: 0.5240
170/338 [==============>...............] - ETA: 9s - loss: 0.6900 - accuracy: 0.5239
171/338 [==============>...............] - ETA: 8s - loss: 0.6900 - accuracy: 0.5236
172/338 [==============>...............] - ETA: 8s - loss: 0.6900 - accuracy: 0.5236
173/338 [==============>...............] - ETA: 8s - loss: 0.6900 - accuracy: 0.5238
174/338 [==============>...............] - ETA: 8s - loss: 0.6899 - accuracy: 0.5241
175/338 [==============>...............] - ETA: 8s - loss: 0.6900 - accuracy: 0.5232
176/338 [==============>...............] - ETA: 8s - loss: 0.6899 - accuracy: 0.5240
177/338 [==============>...............] - ETA: 8s - loss: 0.6899 - accuracy: 0.5242
178/338 [==============>...............] - ETA: 8s - loss: 0.6898 - accuracy: 0.5246
179/338 [==============>...............] - ETA: 8s - loss: 0.6898 - accuracy: 0.5253
180/338 [==============>...............] - ETA: 8s - loss: 0.6897 - accuracy: 0.5255
181/338 [===============>..............] - ETA: 8s - loss: 0.6897 - accuracy: 0.5261
182/338 [===============>..............] - ETA: 8s - loss: 0.6896 - accuracy: 0.5268
183/338 [===============>..............] - ETA: 8s - loss: 0.6895 - accuracy: 0.5272
184/338 [===============>..............] - ETA: 8s - loss: 0.6895 - accuracy: 0.5272
185/338 [===============>..............] - ETA: 8s - loss: 0.6895 - accuracy: 0.5274
186/338 [===============>..............] - ETA: 8s - loss: 0.6895 - accuracy: 0.5277
187/338 [===============>..............] - ETA: 8s - loss: 0.6895 - accuracy: 0.5279
188/338 [===============>..............] - ETA: 8s - loss: 0.6895 - accuracy: 0.5276
189/338 [===============>..............] - ETA: 7s - loss: 0.6895 - accuracy: 0.5276
190/338 [===============>..............] - ETA: 7s - loss: 0.6894 - accuracy: 0.5281
191/338 [===============>..............] - ETA: 7s - loss: 0.6893 - accuracy: 0.5290
192/338 [================>.............] - ETA: 7s - loss: 0.6894 - accuracy: 0.5285
193/338 [================>.............] - ETA: 7s - loss: 0.6894 - accuracy: 0.5282
194/338 [================>.............] - ETA: 7s - loss: 0.6895 - accuracy: 0.5279
195/338 [================>.............] - ETA: 7s - loss: 0.6895 - accuracy: 0.5274
196/338 [================>.............] - ETA: 7s - loss: 0.6895 - accuracy: 0.5279
197/338 [================>.............] - ETA: 7s - loss: 0.6894 - accuracy: 0.5279
198/338 [================>.............] - ETA: 7s - loss: 0.6895 - accuracy: 0.5279
199/338 [================>.............] - ETA: 7s - loss: 0.6893 - accuracy: 0.5286
200/338 [================>.............] - ETA: 7s - loss: 0.6894 - accuracy: 0.5280
201/338 [================>.............] - ETA: 7s - loss: 0.6894 - accuracy: 0.5278
202/338 [================>.............] - ETA: 7s - loss: 0.6895 - accuracy: 0.5274
203/338 [=================>............] - ETA: 7s - loss: 0.6895 - accuracy: 0.5269
204/338 [=================>............] - ETA: 7s - loss: 0.6895 - accuracy: 0.5274
205/338 [=================>............] - ETA: 7s - loss: 0.6895 - accuracy: 0.5276
206/338 [=================>............] - ETA: 7s - loss: 0.6894 - accuracy: 0.5284
207/338 [=================>............] - ETA: 7s - loss: 0.6893 - accuracy: 0.5290
208/338 [=================>............] - ETA: 6s - loss: 0.6893 - accuracy: 0.5288
209/338 [=================>............] - ETA: 6s - loss: 0.6893 - accuracy: 0.5286
210/338 [=================>............] - ETA: 6s - loss: 0.6892 - accuracy: 0.5292
211/338 [=================>............] - ETA: 6s - loss: 0.6891 - accuracy: 0.5295
212/338 [=================>............] - ETA: 6s - loss: 0.6891 - accuracy: 0.5299
213/338 [=================>............] - ETA: 6s - loss: 0.6891 - accuracy: 0.5293
214/338 [=================>............] - ETA: 6s - loss: 0.6891 - accuracy: 0.5291
215/338 [==================>...........] - ETA: 6s - loss: 0.6892 - accuracy: 0.5289
216/338 [==================>...........] - ETA: 6s - loss: 0.6891 - accuracy: 0.5294
217/338 [==================>...........] - ETA: 6s - loss: 0.6891 - accuracy: 0.5288
218/338 [==================>...........] - ETA: 6s - loss: 0.6892 - accuracy: 0.5282
219/338 [==================>...........] - ETA: 6s - loss: 0.6892 - accuracy: 0.5283
220/338 [==================>...........] - ETA: 6s - loss: 0.6892 - accuracy: 0.5284
221/338 [==================>...........] - ETA: 6s - loss: 0.6891 - accuracy: 0.5286
222/338 [==================>...........] - ETA: 6s - loss: 0.6891 - accuracy: 0.5286
223/338 [==================>...........] - ETA: 6s - loss: 0.6891 - accuracy: 0.5286
224/338 [==================>...........] - ETA: 6s - loss: 0.6892 - accuracy: 0.5285
225/338 [==================>...........] - ETA: 6s - loss: 0.6891 - accuracy: 0.5289
226/338 [===================>..........] - ETA: 6s - loss: 0.6891 - accuracy: 0.5288
227/338 [===================>..........] - ETA: 5s - loss: 0.6891 - accuracy: 0.5288
228/338 [===================>..........] - ETA: 5s - loss: 0.6891 - accuracy: 0.5285
229/338 [===================>..........] - ETA: 5s - loss: 0.6892 - accuracy: 0.5280
230/338 [===================>..........] - ETA: 5s - loss: 0.6891 - accuracy: 0.5283
231/338 [===================>..........] - ETA: 5s - loss: 0.6890 - accuracy: 0.5294
232/338 [===================>..........] - ETA: 5s - loss: 0.6889 - accuracy: 0.5298
233/338 [===================>..........] - ETA: 5s - loss: 0.6889 - accuracy: 0.5298
234/338 [===================>..........] - ETA: 5s - loss: 0.6889 - accuracy: 0.5296
235/338 [===================>..........] - ETA: 5s - loss: 0.6889 - accuracy: 0.5301
236/338 [===================>..........] - ETA: 5s - loss: 0.6889 - accuracy: 0.5298
237/338 [====================>.........] - ETA: 5s - loss: 0.6889 - accuracy: 0.5301
238/338 [====================>.........] - ETA: 5s - loss: 0.6889 - accuracy: 0.5301
239/338 [====================>.........] - ETA: 5s - loss: 0.6889 - accuracy: 0.5298
240/338 [====================>.........] - ETA: 5s - loss: 0.6889 - accuracy: 0.5301
241/338 [====================>.........] - ETA: 5s - loss: 0.6889 - accuracy: 0.5300
242/338 [====================>.........] - ETA: 5s - loss: 0.6889 - accuracy: 0.5294
243/338 [====================>.........] - ETA: 5s - loss: 0.6890 - accuracy: 0.5287
244/338 [====================>.........] - ETA: 5s - loss: 0.6890 - accuracy: 0.5284
245/338 [====================>.........] - ETA: 4s - loss: 0.6890 - accuracy: 0.5282
246/338 [====================>.........] - ETA: 4s - loss: 0.6890 - accuracy: 0.5283
247/338 [====================>.........] - ETA: 4s - loss: 0.6891 - accuracy: 0.5281
248/338 [=====================>........] - ETA: 4s - loss: 0.6890 - accuracy: 0.5282
249/338 [=====================>........] - ETA: 4s - loss: 0.6890 - accuracy: 0.5286
250/338 [=====================>........] - ETA: 4s - loss: 0.6890 - accuracy: 0.5285
251/338 [=====================>........] - ETA: 4s - loss: 0.6891 - accuracy: 0.5280
252/338 [=====================>........] - ETA: 4s - loss: 0.6891 - accuracy: 0.5278
253/338 [=====================>........] - ETA: 4s - loss: 0.6892 - accuracy: 0.5272
254/338 [=====================>........] - ETA: 4s - loss: 0.6891 - accuracy: 0.5277
255/338 [=====================>........] - ETA: 4s - loss: 0.6890 - accuracy: 0.5281
256/338 [=====================>........] - ETA: 4s - loss: 0.6890 - accuracy: 0.5282
257/338 [=====================>........] - ETA: 4s - loss: 0.6890 - accuracy: 0.5282
258/338 [=====================>........] - ETA: 4s - loss: 0.6890 - accuracy: 0.5280
259/338 [=====================>........] - ETA: 4s - loss: 0.6891 - accuracy: 0.5278
260/338 [======================>.......] - ETA: 4s - loss: 0.6891 - accuracy: 0.5276
261/338 [======================>.......] - ETA: 4s - loss: 0.6892 - accuracy: 0.5268
262/338 [======================>.......] - ETA: 4s - loss: 0.6892 - accuracy: 0.5266
263/338 [======================>.......] - ETA: 4s - loss: 0.6892 - accuracy: 0.5263
264/338 [======================>.......] - ETA: 3s - loss: 0.6891 - accuracy: 0.5269
265/338 [======================>.......] - ETA: 3s - loss: 0.6891 - accuracy: 0.5264
266/338 [======================>.......] - ETA: 3s - loss: 0.6890 - accuracy: 0.5273
267/338 [======================>.......] - ETA: 3s - loss: 0.6890 - accuracy: 0.5276
268/338 [======================>.......] - ETA: 3s - loss: 0.6890 - accuracy: 0.5278
269/338 [======================>.......] - ETA: 3s - loss: 0.6889 - accuracy: 0.5279
270/338 [======================>.......] - ETA: 3s - loss: 0.6890 - accuracy: 0.5274
271/338 [=======================>......] - ETA: 3s - loss: 0.6890 - accuracy: 0.5271
272/338 [=======================>......] - ETA: 3s - loss: 0.6890 - accuracy: 0.5273
273/338 [=======================>......] - ETA: 3s - loss: 0.6890 - accuracy: 0.5272
274/338 [=======================>......] - ETA: 3s - loss: 0.6890 - accuracy: 0.5270
275/338 [=======================>......] - ETA: 3s - loss: 0.6890 - accuracy: 0.5275
276/338 [=======================>......] - ETA: 3s - loss: 0.6890 - accuracy: 0.5275
277/338 [=======================>......] - ETA: 3s - loss: 0.6889 - accuracy: 0.5276
278/338 [=======================>......] - ETA: 3s - loss: 0.6889 - accuracy: 0.5274
279/338 [=======================>......] - ETA: 3s - loss: 0.6890 - accuracy: 0.5272
280/338 [=======================>......] - ETA: 3s - loss: 0.6889 - accuracy: 0.5273
281/338 [=======================>......] - ETA: 3s - loss: 0.6890 - accuracy: 0.5272
282/338 [========================>.....] - ETA: 3s - loss: 0.6890 - accuracy: 0.5270
283/338 [========================>.....] - ETA: 2s - loss: 0.6889 - accuracy: 0.5271
284/338 [========================>.....] - ETA: 2s - loss: 0.6890 - accuracy: 0.5270
285/338 [========================>.....] - ETA: 2s - loss: 0.6889 - accuracy: 0.5273
286/338 [========================>.....] - ETA: 2s - loss: 0.6889 - accuracy: 0.5272
287/338 [========================>.....] - ETA: 2s - loss: 0.6889 - accuracy: 0.5270
288/338 [========================>.....] - ETA: 2s - loss: 0.6889 - accuracy: 0.5270
289/338 [========================>.....] - ETA: 2s - loss: 0.6890 - accuracy: 0.5266
290/338 [========================>.....] - ETA: 2s - loss: 0.6890 - accuracy: 0.5261
291/338 [========================>.....] - ETA: 2s - loss: 0.6891 - accuracy: 0.5256
292/338 [========================>.....] - ETA: 2s - loss: 0.6890 - accuracy: 0.5256
293/338 [=========================>....] - ETA: 2s - loss: 0.6890 - accuracy: 0.5258
294/338 [=========================>....] - ETA: 2s - loss: 0.6890 - accuracy: 0.5261
295/338 [=========================>....] - ETA: 2s - loss: 0.6890 - accuracy: 0.5261
296/338 [=========================>....] - ETA: 2s - loss: 0.6889 - accuracy: 0.5267
297/338 [=========================>....] - ETA: 2s - loss: 0.6890 - accuracy: 0.5263
298/338 [=========================>....] - ETA: 2s - loss: 0.6889 - accuracy: 0.5263
299/338 [=========================>....] - ETA: 2s - loss: 0.6889 - accuracy: 0.5265
300/338 [=========================>....] - ETA: 2s - loss: 0.6888 - accuracy: 0.5269
301/338 [=========================>....] - ETA: 1s - loss: 0.6888 - accuracy: 0.5269
302/338 [=========================>....] - ETA: 1s - loss: 0.6889 - accuracy: 0.5269
303/338 [=========================>....] - ETA: 1s - loss: 0.6888 - accuracy: 0.5270
304/338 [=========================>....] - ETA: 1s - loss: 0.6888 - accuracy: 0.5268
305/338 [==========================>...] - ETA: 1s - loss: 0.6888 - accuracy: 0.5266
306/338 [==========================>...] - ETA: 1s - loss: 0.6888 - accuracy: 0.5267
307/338 [==========================>...] - ETA: 1s - loss: 0.6887 - accuracy: 0.5271
308/338 [==========================>...] - ETA: 1s - loss: 0.6887 - accuracy: 0.5272
309/338 [==========================>...] - ETA: 1s - loss: 0.6887 - accuracy: 0.5272
310/338 [==========================>...] - ETA: 1s - loss: 0.6886 - accuracy: 0.5275
311/338 [==========================>...] - ETA: 1s - loss: 0.6886 - accuracy: 0.5272
312/338 [==========================>...] - ETA: 1s - loss: 0.6886 - accuracy: 0.5272
313/338 [==========================>...] - ETA: 1s - loss: 0.6886 - accuracy: 0.5268
314/338 [==========================>...] - ETA: 1s - loss: 0.6886 - accuracy: 0.5268
315/338 [==========================>...] - ETA: 1s - loss: 0.6887 - accuracy: 0.5267
316/338 [===========================>..] - ETA: 1s - loss: 0.6887 - accuracy: 0.5265
317/338 [===========================>..] - ETA: 1s - loss: 0.6887 - accuracy: 0.5264
318/338 [===========================>..] - ETA: 1s - loss: 0.6887 - accuracy: 0.5262
319/338 [===========================>..] - ETA: 1s - loss: 0.6887 - accuracy: 0.5263
320/338 [===========================>..] - ETA: 0s - loss: 0.6887 - accuracy: 0.5264
321/338 [===========================>..] - ETA: 0s - loss: 0.6886 - accuracy: 0.5264
322/338 [===========================>..] - ETA: 0s - loss: 0.6886 - accuracy: 0.5261
323/338 [===========================>..] - ETA: 0s - loss: 0.6886 - accuracy: 0.5266
324/338 [===========================>..] - ETA: 0s - loss: 0.6886 - accuracy: 0.5267
325/338 [===========================>..] - ETA: 0s - loss: 0.6885 - accuracy: 0.5271
326/338 [===========================>..] - ETA: 0s - loss: 0.6885 - accuracy: 0.5270
327/338 [============================>.] - ETA: 0s - loss: 0.6885 - accuracy: 0.5269
328/338 [============================>.] - ETA: 0s - loss: 0.6885 - accuracy: 0.5272
329/338 [============================>.] - ETA: 0s - loss: 0.6885 - accuracy: 0.5269
330/338 [============================>.] - ETA: 0s - loss: 0.6885 - accuracy: 0.5271
331/338 [============================>.] - ETA: 0s - loss: 0.6885 - accuracy: 0.5270
332/338 [============================>.] - ETA: 0s - loss: 0.6884 - accuracy: 0.5271
333/338 [============================>.] - ETA: 0s - loss: 0.6884 - accuracy: 0.5272
334/338 [============================>.] - ETA: 0s - loss: 0.6884 - accuracy: 0.5276
335/338 [============================>.] - ETA: 0s - loss: 0.6883 - accuracy: 0.5280
336/338 [============================>.] - ETA: 0s - loss: 0.6883 - accuracy: 0.5278
337/338 [============================>.] - ETA: 0s - loss: 0.6883 - accuracy: 0.5274
338/338 [==============================] - 20s 58ms/step - loss: 0.6884 - accuracy: 0.5271 - val_loss: 0.6904 - val_accuracy: 0.5235
Epoch 3/5
1/338 [..............................] - ETA: 18s - loss: 0.6948 - accuracy: 0.4688
2/338 [..............................] - ETA: 17s - loss: 0.6912 - accuracy: 0.5000
3/338 [..............................] - ETA: 17s - loss: 0.6840 - accuracy: 0.5312
4/338 [..............................] - ETA: 17s - loss: 0.6863 - accuracy: 0.5156
5/338 [..............................] - ETA: 17s - loss: 0.6847 - accuracy: 0.5312
6/338 [..............................] - ETA: 17s - loss: 0.6832 - accuracy: 0.5469
7/338 [..............................] - ETA: 17s - loss: 0.6834 - accuracy: 0.5491
8/338 [..............................] - ETA: 17s - loss: 0.6850 - accuracy: 0.5391
9/338 [..............................] - ETA: 17s - loss: 0.6846 - accuracy: 0.5417
10/338 [..............................] - ETA: 17s - loss: 0.6872 - accuracy: 0.5250
11/338 [..............................] - ETA: 17s - loss: 0.6866 - accuracy: 0.5341
12/338 [>.............................] - ETA: 17s - loss: 0.6864 - accuracy: 0.5417
13/338 [>.............................] - ETA: 17s - loss: 0.6846 - accuracy: 0.5457
14/338 [>.............................] - ETA: 17s - loss: 0.6852 - accuracy: 0.5402
15/338 [>.............................] - ETA: 17s - loss: 0.6844 - accuracy: 0.5437
16/338 [>.............................] - ETA: 17s - loss: 0.6852 - accuracy: 0.5371
17/338 [>.............................] - ETA: 17s - loss: 0.6851 - accuracy: 0.5368
18/338 [>.............................] - ETA: 17s - loss: 0.6844 - accuracy: 0.5399
19/338 [>.............................] - ETA: 17s - loss: 0.6842 - accuracy: 0.5411
20/338 [>.............................] - ETA: 16s - loss: 0.6843 - accuracy: 0.5453
21/338 [>.............................] - ETA: 16s - loss: 0.6853 - accuracy: 0.5387
22/338 [>.............................] - ETA: 16s - loss: 0.6853 - accuracy: 0.5369
23/338 [=>............................] - ETA: 16s - loss: 0.6860 - accuracy: 0.5340
24/338 [=>............................] - ETA: 16s - loss: 0.6864 - accuracy: 0.5326
25/338 [=>............................] - ETA: 16s - loss: 0.6875 - accuracy: 0.5263
26/338 [=>............................] - ETA: 16s - loss: 0.6880 - accuracy: 0.5252
27/338 [=>............................] - ETA: 16s - loss: 0.6879 - accuracy: 0.5243
28/338 [=>............................] - ETA: 16s - loss: 0.6881 - accuracy: 0.5223
29/338 [=>............................] - ETA: 16s - loss: 0.6874 - accuracy: 0.5259
30/338 [=>............................] - ETA: 16s - loss: 0.6873 - accuracy: 0.5281
31/338 [=>............................] - ETA: 16s - loss: 0.6875 - accuracy: 0.5252
32/338 [=>............................] - ETA: 16s - loss: 0.6869 - accuracy: 0.5283
33/338 [=>............................] - ETA: 16s - loss: 0.6863 - accuracy: 0.5331
34/338 [==>...........................] - ETA: 16s - loss: 0.6862 - accuracy: 0.5312
35/338 [==>...........................] - ETA: 16s - loss: 0.6860 - accuracy: 0.5339
36/338 [==>...........................] - ETA: 16s - loss: 0.6857 - accuracy: 0.5347
37/338 [==>...........................] - ETA: 16s - loss: 0.6862 - accuracy: 0.5321
38/338 [==>...........................] - ETA: 16s - loss: 0.6860 - accuracy: 0.5312
39/338 [==>...........................] - ETA: 15s - loss: 0.6861 - accuracy: 0.5312
40/338 [==>...........................] - ETA: 15s - loss: 0.6866 - accuracy: 0.5289
41/338 [==>...........................] - ETA: 15s - loss: 0.6865 - accuracy: 0.5282
42/338 [==>...........................] - ETA: 15s - loss: 0.6864 - accuracy: 0.5290
43/338 [==>...........................] - ETA: 15s - loss: 0.6868 - accuracy: 0.5254
44/338 [==>...........................] - ETA: 15s - loss: 0.6868 - accuracy: 0.5256
45/338 [==>...........................] - ETA: 15s - loss: 0.6868 - accuracy: 0.5250
46/338 [===>..........................] - ETA: 15s - loss: 0.6868 - accuracy: 0.5251
47/338 [===>..........................] - ETA: 15s - loss: 0.6864 - accuracy: 0.5266
48/338 [===>..........................] - ETA: 15s - loss: 0.6866 - accuracy: 0.5247
49/338 [===>..........................] - ETA: 15s - loss: 0.6864 - accuracy: 0.5249
50/338 [===>..........................] - ETA: 15s - loss: 0.6862 - accuracy: 0.5256
51/338 [===>..........................] - ETA: 15s - loss: 0.6860 - accuracy: 0.5263
52/338 [===>..........................] - ETA: 15s - loss: 0.6860 - accuracy: 0.5264
53/338 [===>..........................] - ETA: 15s - loss: 0.6864 - accuracy: 0.5248
54/338 [===>..........................] - ETA: 15s - loss: 0.6866 - accuracy: 0.5231
55/338 [===>..........................] - ETA: 15s - loss: 0.6864 - accuracy: 0.5244
56/338 [===>..........................] - ETA: 15s - loss: 0.6866 - accuracy: 0.5229
57/338 [====>.........................] - ETA: 14s - loss: 0.6870 - accuracy: 0.5192
58/338 [====>.........................] - ETA: 14s - loss: 0.6873 - accuracy: 0.5178
59/338 [====>.........................] - ETA: 14s - loss: 0.6872 - accuracy: 0.5185
60/338 [====>.........................] - ETA: 14s - loss: 0.6873 - accuracy: 0.5172
61/338 [====>.........................] - ETA: 14s - loss: 0.6873 - accuracy: 0.5174
62/338 [====>.........................] - ETA: 14s - loss: 0.6873 - accuracy: 0.5166
63/338 [====>.........................] - ETA: 14s - loss: 0.6873 - accuracy: 0.5154
64/338 [====>.........................] - ETA: 14s - loss: 0.6870 - accuracy: 0.5176
65/338 [====>.........................] - ETA: 14s - loss: 0.6872 - accuracy: 0.5163
66/338 [====>.........................] - ETA: 14s - loss: 0.6871 - accuracy: 0.5166
67/338 [====>.........................] - ETA: 14s - loss: 0.6871 - accuracy: 0.5173
68/338 [=====>........................] - ETA: 14s - loss: 0.6869 - accuracy: 0.5184
69/338 [=====>........................] - ETA: 14s - loss: 0.6867 - accuracy: 0.5195
70/338 [=====>........................] - ETA: 14s - loss: 0.6867 - accuracy: 0.5192
71/338 [=====>........................] - ETA: 14s - loss: 0.6866 - accuracy: 0.5194
72/338 [=====>........................] - ETA: 14s - loss: 0.6869 - accuracy: 0.5169
73/338 [=====>........................] - ETA: 14s - loss: 0.6866 - accuracy: 0.5184
74/338 [=====>........................] - ETA: 14s - loss: 0.6866 - accuracy: 0.5186
75/338 [=====>........................] - ETA: 14s - loss: 0.6863 - accuracy: 0.5208
76/338 [=====>........................] - ETA: 14s - loss: 0.6862 - accuracy: 0.5210
77/338 [=====>........................] - ETA: 14s - loss: 0.6863 - accuracy: 0.5195
78/338 [=====>........................] - ETA: 13s - loss: 0.6862 - accuracy: 0.5192
79/338 [======>.......................] - ETA: 13s - loss: 0.6861 - accuracy: 0.5194
80/338 [======>.......................] - ETA: 13s - loss: 0.6860 - accuracy: 0.5191
81/338 [======>.......................] - ETA: 13s - loss: 0.6859 - accuracy: 0.5201
82/338 [======>.......................] - ETA: 13s - loss: 0.6858 - accuracy: 0.5206
83/338 [======>.......................] - ETA: 13s - loss: 0.6858 - accuracy: 0.5215
84/338 [======>.......................] - ETA: 13s - loss: 0.6860 - accuracy: 0.5190
85/338 [======>.......................] - ETA: 13s - loss: 0.6861 - accuracy: 0.5180
86/338 [======>.......................] - ETA: 13s - loss: 0.6860 - accuracy: 0.5196
87/338 [======>.......................] - ETA: 13s - loss: 0.6860 - accuracy: 0.5187
88/338 [======>.......................] - ETA: 13s - loss: 0.6861 - accuracy: 0.5178
89/338 [======>.......................] - ETA: 13s - loss: 0.6860 - accuracy: 0.5200
90/338 [======>.......................] - ETA: 13s - loss: 0.6859 - accuracy: 0.5205
91/338 [=======>......................] - ETA: 13s - loss: 0.6857 - accuracy: 0.5230
92/338 [=======>......................] - ETA: 13s - loss: 0.6858 - accuracy: 0.5241
93/338 [=======>......................] - ETA: 13s - loss: 0.6857 - accuracy: 0.5245
94/338 [=======>......................] - ETA: 13s - loss: 0.6856 - accuracy: 0.5249
95/338 [=======>......................] - ETA: 13s - loss: 0.6857 - accuracy: 0.5257
96/338 [=======>......................] - ETA: 13s - loss: 0.6855 - accuracy: 0.5260
97/338 [=======>......................] - ETA: 12s - loss: 0.6856 - accuracy: 0.5255
98/338 [=======>......................] - ETA: 12s - loss: 0.6857 - accuracy: 0.5252
99/338 [=======>......................] - ETA: 12s - loss: 0.6856 - accuracy: 0.5256
100/338 [=======>......................] - ETA: 12s - loss: 0.6855 - accuracy: 0.5256
101/338 [=======>......................] - ETA: 12s - loss: 0.6855 - accuracy: 0.5251
102/338 [========>.....................] - ETA: 12s - loss: 0.6857 - accuracy: 0.5245
103/338 [========>.....................] - ETA: 12s - loss: 0.6858 - accuracy: 0.5246
104/338 [========>.....................] - ETA: 12s - loss: 0.6858 - accuracy: 0.5246
105/338 [========>.....................] - ETA: 12s - loss: 0.6859 - accuracy: 0.5247
106/338 [========>.....................] - ETA: 12s - loss: 0.6859 - accuracy: 0.5254
107/338 [========>.....................] - ETA: 12s - loss: 0.6857 - accuracy: 0.5275
108/338 [========>.....................] - ETA: 12s - loss: 0.6857 - accuracy: 0.5284
109/338 [========>.....................] - ETA: 12s - loss: 0.6857 - accuracy: 0.5281
110/338 [========>.....................] - ETA: 12s - loss: 0.6856 - accuracy: 0.5295
111/338 [========>.....................] - ETA: 12s - loss: 0.6857 - accuracy: 0.5298
112/338 [========>.....................] - ETA: 12s - loss: 0.6858 - accuracy: 0.5296
113/338 [=========>....................] - ETA: 12s - loss: 0.6859 - accuracy: 0.5299
114/338 [=========>....................] - ETA: 12s - loss: 0.6857 - accuracy: 0.5323
115/338 [=========>....................] - ETA: 11s - loss: 0.6855 - accuracy: 0.5345
116/338 [=========>....................] - ETA: 11s - loss: 0.6854 - accuracy: 0.5356
117/338 [=========>....................] - ETA: 11s - loss: 0.6853 - accuracy: 0.5371
118/338 [=========>....................] - ETA: 11s - loss: 0.6852 - accuracy: 0.5387
119/338 [=========>....................] - ETA: 11s - loss: 0.6853 - accuracy: 0.5383
120/338 [=========>....................] - ETA: 11s - loss: 0.6852 - accuracy: 0.5401
121/338 [=========>....................] - ETA: 11s - loss: 0.6852 - accuracy: 0.5411
122/338 [=========>....................] - ETA: 11s - loss: 0.6849 - accuracy: 0.5438
123/338 [=========>....................] - ETA: 11s - loss: 0.6849 - accuracy: 0.5450
124/338 [==========>...................] - ETA: 11s - loss: 0.6849 - accuracy: 0.5451
125/338 [==========>...................] - ETA: 11s - loss: 0.6848 - accuracy: 0.5460
126/338 [==========>...................] - ETA: 11s - loss: 0.6849 - accuracy: 0.5464
127/338 [==========>...................] - ETA: 11s - loss: 0.6850 - accuracy: 0.5468
128/338 [==========>...................] - ETA: 11s - loss: 0.6850 - accuracy: 0.5469
129/338 [==========>...................] - ETA: 11s - loss: 0.6849 - accuracy: 0.5482
130/338 [==========>...................] - ETA: 11s - loss: 0.6849 - accuracy: 0.5486
131/338 [==========>...................] - ETA: 11s - loss: 0.6848 - accuracy: 0.5494
132/338 [==========>...................] - ETA: 11s - loss: 0.6847 - accuracy: 0.5509
133/338 [==========>...................] - ETA: 11s - loss: 0.6846 - accuracy: 0.5519
134/338 [==========>...................] - ETA: 10s - loss: 0.6846 - accuracy: 0.5522
135/338 [==========>...................] - ETA: 10s - loss: 0.6847 - accuracy: 0.5528
136/338 [===========>..................] - ETA: 10s - loss: 0.6847 - accuracy: 0.5526
137/338 [===========>..................] - ETA: 10s - loss: 0.6848 - accuracy: 0.5527
138/338 [===========>..................] - ETA: 10s - loss: 0.6849 - accuracy: 0.5523
139/338 [===========>..................] - ETA: 10s - loss: 0.6850 - accuracy: 0.5517
140/338 [===========>..................] - ETA: 10s - loss: 0.6850 - accuracy: 0.5525
141/338 [===========>..................] - ETA: 10s - loss: 0.6849 - accuracy: 0.5532
142/338 [===========>..................] - ETA: 10s - loss: 0.6849 - accuracy: 0.5537
143/338 [===========>..................] - ETA: 10s - loss: 0.6849 - accuracy: 0.5542
144/338 [===========>..................] - ETA: 10s - loss: 0.6847 - accuracy: 0.5556
145/338 [===========>..................] - ETA: 10s - loss: 0.6849 - accuracy: 0.5552
146/338 [===========>..................] - ETA: 10s - loss: 0.6849 - accuracy: 0.5554
147/338 [============>.................] - ETA: 10s - loss: 0.6848 - accuracy: 0.5559
148/338 [============>.................] - ETA: 10s - loss: 0.6848 - accuracy: 0.5564
149/338 [============>.................] - ETA: 10s - loss: 0.6848 - accuracy: 0.5568
150/338 [============>.................] - ETA: 10s - loss: 0.6847 - accuracy: 0.5579
151/338 [============>.................] - ETA: 10s - loss: 0.6847 - accuracy: 0.5582
152/338 [============>.................] - ETA: 9s - loss: 0.6845 - accuracy: 0.5590
153/338 [============>.................] - ETA: 9s - loss: 0.6844 - accuracy: 0.5603
154/338 [============>.................] - ETA: 9s - loss: 0.6844 - accuracy: 0.5605
155/338 [============>.................] - ETA: 9s - loss: 0.6843 - accuracy: 0.5613
156/338 [============>.................] - ETA: 9s - loss: 0.6843 - accuracy: 0.5617
157/338 [============>.................] - ETA: 9s - loss: 0.6843 - accuracy: 0.5619
158/338 [=============>................] - ETA: 9s - loss: 0.6843 - accuracy: 0.5627
159/338 [=============>................] - ETA: 9s - loss: 0.6842 - accuracy: 0.5633
160/338 [=============>................] - ETA: 9s - loss: 0.6842 - accuracy: 0.5637
161/338 [=============>................] - ETA: 9s - loss: 0.6843 - accuracy: 0.5629
162/338 [=============>................] - ETA: 9s - loss: 0.6844 - accuracy: 0.5621
163/338 [=============>................] - ETA: 9s - loss: 0.6843 - accuracy: 0.5627
164/338 [=============>................] - ETA: 9s - loss: 0.6843 - accuracy: 0.5627
165/338 [=============>................] - ETA: 9s - loss: 0.6842 - accuracy: 0.5634
166/338 [=============>................] - ETA: 9s - loss: 0.6841 - accuracy: 0.5640
167/338 [=============>................] - ETA: 9s - loss: 0.6841 - accuracy: 0.5646
168/338 [=============>................] - ETA: 9s - loss: 0.6841 - accuracy: 0.5651
169/338 [==============>...............] - ETA: 9s - loss: 0.6840 - accuracy: 0.5653
170/338 [==============>...............] - ETA: 9s - loss: 0.6839 - accuracy: 0.5664
171/338 [==============>...............] - ETA: 8s - loss: 0.6839 - accuracy: 0.5665
172/338 [==============>...............] - ETA: 8s - loss: 0.6839 - accuracy: 0.5667
173/338 [==============>...............] - ETA: 8s - loss: 0.6838 - accuracy: 0.5672
174/338 [==============>...............] - ETA: 8s - loss: 0.6838 - accuracy: 0.5675
175/338 [==============>...............] - ETA: 8s - loss: 0.6838 - accuracy: 0.5682
176/338 [==============>...............] - ETA: 8s - loss: 0.6837 - accuracy: 0.5687
177/338 [==============>...............] - ETA: 8s - loss: 0.6836 - accuracy: 0.5696
178/338 [==============>...............] - ETA: 8s - loss: 0.6837 - accuracy: 0.5699
179/338 [==============>...............] - ETA: 8s - loss: 0.6837 - accuracy: 0.5700
180/338 [==============>...............] - ETA: 8s - loss: 0.6837 - accuracy: 0.5703
181/338 [===============>..............] - ETA: 8s - loss: 0.6837 - accuracy: 0.5710
182/338 [===============>..............] - ETA: 8s - loss: 0.6837 - accuracy: 0.5709
183/338 [===============>..............] - ETA: 8s - loss: 0.6836 - accuracy: 0.5712
184/338 [===============>..............] - ETA: 8s - loss: 0.6835 - accuracy: 0.5718
185/338 [===============>..............] - ETA: 8s - loss: 0.6835 - accuracy: 0.5718
186/338 [===============>..............] - ETA: 8s - loss: 0.6835 - accuracy: 0.5716
187/338 [===============>..............] - ETA: 8s - loss: 0.6835 - accuracy: 0.5715
188/338 [===============>..............] - ETA: 8s - loss: 0.6835 - accuracy: 0.5716
189/338 [===============>..............] - ETA: 7s - loss: 0.6834 - accuracy: 0.5723
190/338 [===============>..............] - ETA: 7s - loss: 0.6834 - accuracy: 0.5727
191/338 [===============>..............] - ETA: 7s - loss: 0.6833 - accuracy: 0.5735
192/338 [================>.............] - ETA: 7s - loss: 0.6832 - accuracy: 0.5742
193/338 [================>.............] - ETA: 7s - loss: 0.6833 - accuracy: 0.5742
194/338 [================>.............] - ETA: 7s - loss: 0.6832 - accuracy: 0.5749
195/338 [================>.............] - ETA: 7s - loss: 0.6832 - accuracy: 0.5747
196/338 [================>.............] - ETA: 7s - loss: 0.6832 - accuracy: 0.5751
197/338 [================>.............] - ETA: 7s - loss: 0.6831 - accuracy: 0.5761
198/338 [================>.............] - ETA: 7s - loss: 0.6830 - accuracy: 0.5764
199/338 [================>.............] - ETA: 7s - loss: 0.6830 - accuracy: 0.5765
200/338 [================>.............] - ETA: 7s - loss: 0.6830 - accuracy: 0.5766
201/338 [================>.............] - ETA: 7s - loss: 0.6831 - accuracy: 0.5763
202/338 [================>.............] - ETA: 7s - loss: 0.6830 - accuracy: 0.5764
203/338 [=================>............] - ETA: 7s - loss: 0.6831 - accuracy: 0.5762
204/338 [=================>............] - ETA: 7s - loss: 0.6830 - accuracy: 0.5767
205/338 [=================>............] - ETA: 7s - loss: 0.6830 - accuracy: 0.5771
206/338 [=================>............] - ETA: 7s - loss: 0.6829 - accuracy: 0.5778
207/338 [=================>............] - ETA: 7s - loss: 0.6829 - accuracy: 0.5779
208/338 [=================>............] - ETA: 6s - loss: 0.6828 - accuracy: 0.5780
209/338 [=================>............] - ETA: 6s - loss: 0.6828 - accuracy: 0.5785
210/338 [=================>............] - ETA: 6s - loss: 0.6827 - accuracy: 0.5786
211/338 [=================>............] - ETA: 6s - loss: 0.6828 - accuracy: 0.5782
212/338 [=================>............] - ETA: 6s - loss: 0.6826 - accuracy: 0.5790
213/338 [=================>............] - ETA: 6s - loss: 0.6826 - accuracy: 0.5795
214/338 [=================>............] - ETA: 6s - loss: 0.6825 - accuracy: 0.5802
215/338 [==================>...........] - ETA: 6s - loss: 0.6825 - accuracy: 0.5802
216/338 [==================>...........] - ETA: 6s - loss: 0.6824 - accuracy: 0.5806
217/338 [==================>...........] - ETA: 6s - loss: 0.6825 - accuracy: 0.5805
218/338 [==================>...........] - ETA: 6s - loss: 0.6825 - accuracy: 0.5806
219/338 [==================>...........] - ETA: 6s - loss: 0.6825 - accuracy: 0.5803
220/338 [==================>...........] - ETA: 6s - loss: 0.6824 - accuracy: 0.5807
221/338 [==================>...........] - ETA: 6s - loss: 0.6824 - accuracy: 0.5809
222/338 [==================>...........] - ETA: 6s - loss: 0.6823 - accuracy: 0.5814
223/338 [==================>...........] - ETA: 6s - loss: 0.6822 - accuracy: 0.5823
224/338 [==================>...........] - ETA: 6s - loss: 0.6821 - accuracy: 0.5826
225/338 [==================>...........] - ETA: 6s - loss: 0.6821 - accuracy: 0.5831
226/338 [===================>..........] - ETA: 5s - loss: 0.6820 - accuracy: 0.5837
227/338 [===================>..........] - ETA: 5s - loss: 0.6821 - accuracy: 0.5834
228/338 [===================>..........] - ETA: 5s - loss: 0.6820 - accuracy: 0.5842
229/338 [===================>..........] - ETA: 5s - loss: 0.6819 - accuracy: 0.5845
230/338 [===================>..........] - ETA: 5s - loss: 0.6818 - accuracy: 0.5852
231/338 [===================>..........] - ETA: 5s - loss: 0.6818 - accuracy: 0.5854
232/338 [===================>..........] - ETA: 5s - loss: 0.6817 - accuracy: 0.5861
233/338 [===================>..........] - ETA: 5s - loss: 0.6816 - accuracy: 0.5864
234/338 [===================>..........] - ETA: 5s - loss: 0.6815 - accuracy: 0.5869
235/338 [===================>..........] - ETA: 5s - loss: 0.6815 - accuracy: 0.5871
236/338 [===================>..........] - ETA: 5s - loss: 0.6814 - accuracy: 0.5879
237/338 [====================>.........] - ETA: 5s - loss: 0.6814 - accuracy: 0.5878
238/338 [====================>.........] - ETA: 5s - loss: 0.6815 - accuracy: 0.5877
239/338 [====================>.........] - ETA: 5s - loss: 0.6814 - accuracy: 0.5883
240/338 [====================>.........] - ETA: 5s - loss: 0.6814 - accuracy: 0.5883
241/338 [====================>.........] - ETA: 5s - loss: 0.6813 - accuracy: 0.5882
242/338 [====================>.........] - ETA: 5s - loss: 0.6812 - accuracy: 0.5886
243/338 [====================>.........] - ETA: 5s - loss: 0.6813 - accuracy: 0.5885
244/338 [====================>.........] - ETA: 5s - loss: 0.6812 - accuracy: 0.5886
245/338 [====================>.........] - ETA: 4s - loss: 0.6812 - accuracy: 0.5889
246/338 [====================>.........] - ETA: 4s - loss: 0.6811 - accuracy: 0.5892
247/338 [====================>.........] - ETA: 4s - loss: 0.6811 - accuracy: 0.5894
248/338 [=====================>........] - ETA: 4s - loss: 0.6810 - accuracy: 0.5900
249/338 [=====================>........] - ETA: 4s - loss: 0.6809 - accuracy: 0.5904
250/338 [=====================>........] - ETA: 4s - loss: 0.6808 - accuracy: 0.5907
251/338 [=====================>........] - ETA: 4s - loss: 0.6808 - accuracy: 0.5908
252/338 [=====================>........] - ETA: 4s - loss: 0.6808 - accuracy: 0.5906
253/338 [=====================>........] - ETA: 4s - loss: 0.6807 - accuracy: 0.5914
254/338 [=====================>........] - ETA: 4s - loss: 0.6806 - accuracy: 0.5918
255/338 [=====================>........] - ETA: 4s - loss: 0.6807 - accuracy: 0.5914
256/338 [=====================>........] - ETA: 4s - loss: 0.6806 - accuracy: 0.5919
257/338 [=====================>........] - ETA: 4s - loss: 0.6806 - accuracy: 0.5919
258/338 [=====================>........] - ETA: 4s - loss: 0.6807 - accuracy: 0.5913
259/338 [=====================>........] - ETA: 4s - loss: 0.6807 - accuracy: 0.5912
260/338 [======================>.......] - ETA: 4s - loss: 0.6807 - accuracy: 0.5912
261/338 [======================>.......] - ETA: 4s - loss: 0.6806 - accuracy: 0.5914
262/338 [======================>.......] - ETA: 4s - loss: 0.6806 - accuracy: 0.5916
263/338 [======================>.......] - ETA: 4s - loss: 0.6805 - accuracy: 0.5916
264/338 [======================>.......] - ETA: 3s - loss: 0.6805 - accuracy: 0.5919
265/338 [======================>.......] - ETA: 3s - loss: 0.6804 - accuracy: 0.5920
266/338 [======================>.......] - ETA: 3s - loss: 0.6804 - accuracy: 0.5920
267/338 [======================>.......] - ETA: 3s - loss: 0.6804 - accuracy: 0.5915
268/338 [======================>.......] - ETA: 3s - loss: 0.6804 - accuracy: 0.5918
269/338 [======================>.......] - ETA: 3s - loss: 0.6803 - accuracy: 0.5924
270/338 [======================>.......] - ETA: 3s - loss: 0.6803 - accuracy: 0.5922
271/338 [=======================>......] - ETA: 3s - loss: 0.6803 - accuracy: 0.5923
272/338 [=======================>......] - ETA: 3s - loss: 0.6802 - accuracy: 0.5924
273/338 [=======================>......] - ETA: 3s - loss: 0.6802 - accuracy: 0.5923
274/338 [=======================>......] - ETA: 3s - loss: 0.6802 - accuracy: 0.5924
275/338 [=======================>......] - ETA: 3s - loss: 0.6802 - accuracy: 0.5923
276/338 [=======================>......] - ETA: 3s - loss: 0.6802 - accuracy: 0.5924
277/338 [=======================>......] - ETA: 3s - loss: 0.6803 - accuracy: 0.5921
278/338 [=======================>......] - ETA: 3s - loss: 0.6803 - accuracy: 0.5921
279/338 [=======================>......] - ETA: 3s - loss: 0.6801 - accuracy: 0.5927
280/338 [=======================>......] - ETA: 3s - loss: 0.6800 - accuracy: 0.5936
281/338 [=======================>......] - ETA: 3s - loss: 0.6799 - accuracy: 0.5940
282/338 [========================>.....] - ETA: 2s - loss: 0.6799 - accuracy: 0.5944
283/338 [========================>.....] - ETA: 2s - loss: 0.6798 - accuracy: 0.5947
284/338 [========================>.....] - ETA: 2s - loss: 0.6798 - accuracy: 0.5950
285/338 [========================>.....] - ETA: 2s - loss: 0.6798 - accuracy: 0.5948
286/338 [========================>.....] - ETA: 2s - loss: 0.6798 - accuracy: 0.5945
287/338 [========================>.....] - ETA: 2s - loss: 0.6797 - accuracy: 0.5951
288/338 [========================>.....] - ETA: 2s - loss: 0.6796 - accuracy: 0.5955
289/338 [========================>.....] - ETA: 2s - loss: 0.6797 - accuracy: 0.5956
290/338 [========================>.....] - ETA: 2s - loss: 0.6797 - accuracy: 0.5957
291/338 [========================>.....] - ETA: 2s - loss: 0.6797 - accuracy: 0.5960
292/338 [========================>.....] - ETA: 2s - loss: 0.6796 - accuracy: 0.5961
293/338 [=========================>....] - ETA: 2s - loss: 0.6796 - accuracy: 0.5964
294/338 [=========================>....] - ETA: 2s - loss: 0.6796 - accuracy: 0.5964
295/338 [=========================>....] - ETA: 2s - loss: 0.6795 - accuracy: 0.5965
296/338 [=========================>....] - ETA: 2s - loss: 0.6795 - accuracy: 0.5967
297/338 [=========================>....] - ETA: 2s - loss: 0.6794 - accuracy: 0.5971
298/338 [=========================>....] - ETA: 2s - loss: 0.6794 - accuracy: 0.5971
299/338 [=========================>....] - ETA: 2s - loss: 0.6794 - accuracy: 0.5971
300/338 [=========================>....] - ETA: 2s - loss: 0.6793 - accuracy: 0.5975
301/338 [=========================>....] - ETA: 1s - loss: 0.6793 - accuracy: 0.5974
302/338 [=========================>....] - ETA: 1s - loss: 0.6793 - accuracy: 0.5974
303/338 [=========================>....] - ETA: 1s - loss: 0.6793 - accuracy: 0.5976
304/338 [=========================>....] - ETA: 1s - loss: 0.6793 - accuracy: 0.5976
305/338 [==========================>...] - ETA: 1s - loss: 0.6793 - accuracy: 0.5976
306/338 [==========================>...] - ETA: 1s - loss: 0.6792 - accuracy: 0.5977
307/338 [==========================>...] - ETA: 1s - loss: 0.6793 - accuracy: 0.5975
308/338 [==========================>...] - ETA: 1s - loss: 0.6792 - accuracy: 0.5975
309/338 [==========================>...] - ETA: 1s - loss: 0.6792 - accuracy: 0.5978
310/338 [==========================>...] - ETA: 1s - loss: 0.6792 - accuracy: 0.5980
311/338 [==========================>...] - ETA: 1s - loss: 0.6791 - accuracy: 0.5981
312/338 [==========================>...] - ETA: 1s - loss: 0.6792 - accuracy: 0.5981
313/338 [==========================>...] - ETA: 1s - loss: 0.6791 - accuracy: 0.5983
314/338 [==========================>...] - ETA: 1s - loss: 0.6791 - accuracy: 0.5984
315/338 [==========================>...] - ETA: 1s - loss: 0.6791 - accuracy: 0.5983
316/338 [===========================>..] - ETA: 1s - loss: 0.6791 - accuracy: 0.5983
317/338 [===========================>..] - ETA: 1s - loss: 0.6791 - accuracy: 0.5984
318/338 [===========================>..] - ETA: 1s - loss: 0.6791 - accuracy: 0.5987
319/338 [===========================>..] - ETA: 1s - loss: 0.6790 - accuracy: 0.5989
320/338 [===========================>..] - ETA: 0s - loss: 0.6790 - accuracy: 0.5988
321/338 [===========================>..] - ETA: 0s - loss: 0.6790 - accuracy: 0.5991
322/338 [===========================>..] - ETA: 0s - loss: 0.6790 - accuracy: 0.5989
323/338 [===========================>..] - ETA: 0s - loss: 0.6790 - accuracy: 0.5990
324/338 [===========================>..] - ETA: 0s - loss: 0.6789 - accuracy: 0.5992
325/338 [===========================>..] - ETA: 0s - loss: 0.6789 - accuracy: 0.5993
326/338 [===========================>..] - ETA: 0s - loss: 0.6790 - accuracy: 0.5989
327/338 [============================>.] - ETA: 0s - loss: 0.6789 - accuracy: 0.5992
328/338 [============================>.] - ETA: 0s - loss: 0.6789 - accuracy: 0.5992
329/338 [============================>.] - ETA: 0s - loss: 0.6788 - accuracy: 0.5994
330/338 [============================>.] - ETA: 0s - loss: 0.6787 - accuracy: 0.5999
331/338 [============================>.] - ETA: 0s - loss: 0.6788 - accuracy: 0.5996
332/338 [============================>.] - ETA: 0s - loss: 0.6788 - accuracy: 0.5999
333/338 [============================>.] - ETA: 0s - loss: 0.6787 - accuracy: 0.6000
334/338 [============================>.] - ETA: 0s - loss: 0.6788 - accuracy: 0.5999
335/338 [============================>.] - ETA: 0s - loss: 0.6787 - accuracy: 0.6002
336/338 [============================>.] - ETA: 0s - loss: 0.6787 - accuracy: 0.6000
337/338 [============================>.] - ETA: 0s - loss: 0.6787 - accuracy: 0.6000
338/338 [==============================] - 21s 61ms/step - loss: 0.6787 - accuracy: 0.6001 - val_loss: 0.6757 - val_accuracy: 0.6062
Epoch 4/5
1/338 [..............................] - ETA: 17s - loss: 0.6375 - accuracy: 0.7812
2/338 [..............................] - ETA: 18s - loss: 0.6472 - accuracy: 0.7188
3/338 [..............................] - ETA: 18s - loss: 0.6573 - accuracy: 0.6771
4/338 [..............................] - ETA: 18s - loss: 0.6573 - accuracy: 0.6719
5/338 [..............................] - ETA: 17s - loss: 0.6579 - accuracy: 0.6687
6/338 [..............................] - ETA: 17s - loss: 0.6639 - accuracy: 0.6510
7/338 [..............................] - ETA: 17s - loss: 0.6649 - accuracy: 0.6562
8/338 [..............................] - ETA: 17s - loss: 0.6645 - accuracy: 0.6562
9/338 [..............................] - ETA: 17s - loss: 0.6679 - accuracy: 0.6458
10/338 [..............................] - ETA: 17s - loss: 0.6699 - accuracy: 0.6375
11/338 [..............................] - ETA: 17s - loss: 0.6697 - accuracy: 0.6364
12/338 [>.............................] - ETA: 17s - loss: 0.6706 - accuracy: 0.6328
13/338 [>.............................] - ETA: 17s - loss: 0.6717 - accuracy: 0.6298
14/338 [>.............................] - ETA: 17s - loss: 0.6708 - accuracy: 0.6339
15/338 [>.............................] - ETA: 17s - loss: 0.6714 - accuracy: 0.6333
16/338 [>.............................] - ETA: 17s - loss: 0.6698 - accuracy: 0.6387
17/338 [>.............................] - ETA: 17s - loss: 0.6703 - accuracy: 0.6397
18/338 [>.............................] - ETA: 17s - loss: 0.6688 - accuracy: 0.6458
19/338 [>.............................] - ETA: 16s - loss: 0.6713 - accuracy: 0.6382
20/338 [>.............................] - ETA: 16s - loss: 0.6714 - accuracy: 0.6359
21/338 [>.............................] - ETA: 16s - loss: 0.6700 - accuracy: 0.6429
22/338 [>.............................] - ETA: 16s - loss: 0.6684 - accuracy: 0.6463
23/338 [=>............................] - ETA: 16s - loss: 0.6680 - accuracy: 0.6481
24/338 [=>............................] - ETA: 16s - loss: 0.6668 - accuracy: 0.6523
25/338 [=>............................] - ETA: 16s - loss: 0.6669 - accuracy: 0.6513
26/338 [=>............................] - ETA: 16s - loss: 0.6682 - accuracy: 0.6478
27/338 [=>............................] - ETA: 16s - loss: 0.6680 - accuracy: 0.6505
28/338 [=>............................] - ETA: 16s - loss: 0.6673 - accuracy: 0.6529
29/338 [=>............................] - ETA: 16s - loss: 0.6673 - accuracy: 0.6530
30/338 [=>............................] - ETA: 16s - loss: 0.6670 - accuracy: 0.6531
31/338 [=>............................] - ETA: 16s - loss: 0.6671 - accuracy: 0.6532
32/338 [=>............................] - ETA: 16s - loss: 0.6662 - accuracy: 0.6562
33/338 [=>............................] - ETA: 16s - loss: 0.6658 - accuracy: 0.6581
34/338 [==>...........................] - ETA: 16s - loss: 0.6667 - accuracy: 0.6544
35/338 [==>...........................] - ETA: 16s - loss: 0.6681 - accuracy: 0.6500
36/338 [==>...........................] - ETA: 16s - loss: 0.6687 - accuracy: 0.6476
37/338 [==>...........................] - ETA: 16s - loss: 0.6697 - accuracy: 0.6427
38/338 [==>...........................] - ETA: 15s - loss: 0.6688 - accuracy: 0.6456
39/338 [==>...........................] - ETA: 15s - loss: 0.6684 - accuracy: 0.6474
40/338 [==>...........................] - ETA: 15s - loss: 0.6683 - accuracy: 0.6492
41/338 [==>...........................] - ETA: 15s - loss: 0.6678 - accuracy: 0.6509
42/338 [==>...........................] - ETA: 15s - loss: 0.6686 - accuracy: 0.6481
43/338 [==>...........................] - ETA: 15s - loss: 0.6677 - accuracy: 0.6512
44/338 [==>...........................] - ETA: 15s - loss: 0.6677 - accuracy: 0.6513
45/338 [==>...........................] - ETA: 15s - loss: 0.6681 - accuracy: 0.6493
46/338 [===>..........................] - ETA: 15s - loss: 0.6681 - accuracy: 0.6501
47/338 [===>..........................] - ETA: 15s - loss: 0.6686 - accuracy: 0.6476
48/338 [===>..........................] - ETA: 15s - loss: 0.6686 - accuracy: 0.6471
49/338 [===>..........................] - ETA: 15s - loss: 0.6687 - accuracy: 0.6467
50/338 [===>..........................] - ETA: 15s - loss: 0.6686 - accuracy: 0.6463
51/338 [===>..........................] - ETA: 15s - loss: 0.6690 - accuracy: 0.6446
52/338 [===>..........................] - ETA: 15s - loss: 0.6695 - accuracy: 0.6430
53/338 [===>..........................] - ETA: 15s - loss: 0.6692 - accuracy: 0.6439
54/338 [===>..........................] - ETA: 15s - loss: 0.6688 - accuracy: 0.6447
55/338 [===>..........................] - ETA: 15s - loss: 0.6685 - accuracy: 0.6460
56/338 [===>..........................] - ETA: 15s - loss: 0.6683 - accuracy: 0.6462
57/338 [====>.........................] - ETA: 14s - loss: 0.6678 - accuracy: 0.6475
58/338 [====>.........................] - ETA: 14s - loss: 0.6675 - accuracy: 0.6482
59/338 [====>.........................] - ETA: 14s - loss: 0.6668 - accuracy: 0.6510
60/338 [====>.........................] - ETA: 14s - loss: 0.6666 - accuracy: 0.6516
61/338 [====>.........................] - ETA: 14s - loss: 0.6667 - accuracy: 0.6506
62/338 [====>.........................] - ETA: 14s - loss: 0.6669 - accuracy: 0.6502
63/338 [====>.........................] - ETA: 14s - loss: 0.6671 - accuracy: 0.6483
64/338 [====>.........................] - ETA: 14s - loss: 0.6667 - accuracy: 0.6499
65/338 [====>.........................] - ETA: 14s - loss: 0.6669 - accuracy: 0.6495
66/338 [====>.........................] - ETA: 14s - loss: 0.6669 - accuracy: 0.6491
67/338 [====>.........................] - ETA: 14s - loss: 0.6665 - accuracy: 0.6507
68/338 [=====>........................] - ETA: 14s - loss: 0.6668 - accuracy: 0.6489
69/338 [=====>........................] - ETA: 14s - loss: 0.6669 - accuracy: 0.6481
70/338 [=====>........................] - ETA: 14s - loss: 0.6667 - accuracy: 0.6482
71/338 [=====>........................] - ETA: 14s - loss: 0.6663 - accuracy: 0.6488
72/338 [=====>........................] - ETA: 14s - loss: 0.6663 - accuracy: 0.6493
73/338 [=====>........................] - ETA: 14s - loss: 0.6659 - accuracy: 0.6507
74/338 [=====>........................] - ETA: 14s - loss: 0.6668 - accuracy: 0.6474
75/338 [=====>........................] - ETA: 13s - loss: 0.6663 - accuracy: 0.6488
76/338 [=====>........................] - ETA: 13s - loss: 0.6664 - accuracy: 0.6484
77/338 [=====>........................] - ETA: 13s - loss: 0.6663 - accuracy: 0.6489
78/338 [=====>........................] - ETA: 13s - loss: 0.6667 - accuracy: 0.6478
79/338 [======>.......................] - ETA: 13s - loss: 0.6667 - accuracy: 0.6479
80/338 [======>.......................] - ETA: 13s - loss: 0.6672 - accuracy: 0.6461
81/338 [======>.......................] - ETA: 13s - loss: 0.6675 - accuracy: 0.6454
82/338 [======>.......................] - ETA: 13s - loss: 0.6675 - accuracy: 0.6452
83/338 [======>.......................] - ETA: 13s - loss: 0.6671 - accuracy: 0.6468
84/338 [======>.......................] - ETA: 13s - loss: 0.6671 - accuracy: 0.6469
85/338 [======>.......................] - ETA: 13s - loss: 0.6669 - accuracy: 0.6474
86/338 [======>.......................] - ETA: 13s - loss: 0.6669 - accuracy: 0.6475
87/338 [======>.......................] - ETA: 13s - loss: 0.6671 - accuracy: 0.6469
88/338 [======>.......................] - ETA: 13s - loss: 0.6668 - accuracy: 0.6481
89/338 [======>.......................] - ETA: 13s - loss: 0.6663 - accuracy: 0.6496
90/338 [======>.......................] - ETA: 13s - loss: 0.6662 - accuracy: 0.6500
91/338 [=======>......................] - ETA: 13s - loss: 0.6663 - accuracy: 0.6494
92/338 [=======>......................] - ETA: 13s - loss: 0.6658 - accuracy: 0.6508
93/338 [=======>......................] - ETA: 13s - loss: 0.6659 - accuracy: 0.6505
94/338 [=======>......................] - ETA: 13s - loss: 0.6656 - accuracy: 0.6506
95/338 [=======>......................] - ETA: 12s - loss: 0.6651 - accuracy: 0.6526
96/338 [=======>......................] - ETA: 12s - loss: 0.6651 - accuracy: 0.6520
97/338 [=======>......................] - ETA: 12s - loss: 0.6645 - accuracy: 0.6540
98/338 [=======>......................] - ETA: 12s - loss: 0.6649 - accuracy: 0.6521
99/338 [=======>......................] - ETA: 12s - loss: 0.6648 - accuracy: 0.6518
100/338 [=======>......................] - ETA: 12s - loss: 0.6651 - accuracy: 0.6509
101/338 [=======>......................] - ETA: 12s - loss: 0.6652 - accuracy: 0.6507
102/338 [========>.....................] - ETA: 12s - loss: 0.6649 - accuracy: 0.6517
103/338 [========>.....................] - ETA: 12s - loss: 0.6649 - accuracy: 0.6511
104/338 [========>.....................] - ETA: 12s - loss: 0.6646 - accuracy: 0.6520
105/338 [========>.....................] - ETA: 12s - loss: 0.6647 - accuracy: 0.6512
106/338 [========>.....................] - ETA: 12s - loss: 0.6653 - accuracy: 0.6495
107/338 [========>.....................] - ETA: 12s - loss: 0.6649 - accuracy: 0.6510
108/338 [========>.....................] - ETA: 12s - loss: 0.6648 - accuracy: 0.6510
109/338 [========>.....................] - ETA: 12s - loss: 0.6647 - accuracy: 0.6517
110/338 [========>.....................] - ETA: 12s - loss: 0.6648 - accuracy: 0.6514
111/338 [========>.....................] - ETA: 12s - loss: 0.6647 - accuracy: 0.6517
112/338 [========>.....................] - ETA: 12s - loss: 0.6645 - accuracy: 0.6518
113/338 [=========>....................] - ETA: 12s - loss: 0.6645 - accuracy: 0.6518
114/338 [=========>....................] - ETA: 11s - loss: 0.6642 - accuracy: 0.6527
115/338 [=========>....................] - ETA: 11s - loss: 0.6643 - accuracy: 0.6519
116/338 [=========>....................] - ETA: 11s - loss: 0.6644 - accuracy: 0.6514
117/338 [=========>....................] - ETA: 11s - loss: 0.6641 - accuracy: 0.6522
118/338 [=========>....................] - ETA: 11s - loss: 0.6642 - accuracy: 0.6517
119/338 [=========>....................] - ETA: 11s - loss: 0.6643 - accuracy: 0.6515
120/338 [=========>....................] - ETA: 11s - loss: 0.6638 - accuracy: 0.6531
121/338 [=========>....................] - ETA: 11s - loss: 0.6638 - accuracy: 0.6529
122/338 [=========>....................] - ETA: 11s - loss: 0.6642 - accuracy: 0.6514
123/338 [=========>....................] - ETA: 11s - loss: 0.6641 - accuracy: 0.6517
124/338 [==========>...................] - ETA: 11s - loss: 0.6641 - accuracy: 0.6515
125/338 [==========>...................] - ETA: 11s - loss: 0.6637 - accuracy: 0.6528
126/338 [==========>...................] - ETA: 11s - loss: 0.6637 - accuracy: 0.6525
127/338 [==========>...................] - ETA: 11s - loss: 0.6634 - accuracy: 0.6531
128/338 [==========>...................] - ETA: 11s - loss: 0.6637 - accuracy: 0.6521
129/338 [==========>...................] - ETA: 11s - loss: 0.6640 - accuracy: 0.6512
130/338 [==========>...................] - ETA: 11s - loss: 0.6638 - accuracy: 0.6514
131/338 [==========>...................] - ETA: 11s - loss: 0.6636 - accuracy: 0.6522
132/338 [==========>...................] - ETA: 10s - loss: 0.6636 - accuracy: 0.6522
133/338 [==========>...................] - ETA: 10s - loss: 0.6638 - accuracy: 0.6516
134/338 [==========>...................] - ETA: 10s - loss: 0.6638 - accuracy: 0.6516
135/338 [==========>...................] - ETA: 10s - loss: 0.6639 - accuracy: 0.6512
136/338 [===========>..................] - ETA: 10s - loss: 0.6638 - accuracy: 0.6517
137/338 [===========>..................] - ETA: 10s - loss: 0.6638 - accuracy: 0.6515
138/338 [===========>..................] - ETA: 10s - loss: 0.6642 - accuracy: 0.6501
139/338 [===========>..................] - ETA: 10s - loss: 0.6642 - accuracy: 0.6500
140/338 [===========>..................] - ETA: 10s - loss: 0.6644 - accuracy: 0.6493
141/338 [===========>..................] - ETA: 10s - loss: 0.6641 - accuracy: 0.6503
142/338 [===========>..................] - ETA: 10s - loss: 0.6636 - accuracy: 0.6516
143/338 [===========>..................] - ETA: 10s - loss: 0.6635 - accuracy: 0.6519
144/338 [===========>..................] - ETA: 10s - loss: 0.6634 - accuracy: 0.6517
145/338 [===========>..................] - ETA: 10s - loss: 0.6634 - accuracy: 0.6522
146/338 [===========>..................] - ETA: 10s - loss: 0.6631 - accuracy: 0.6530
147/338 [============>.................] - ETA: 10s - loss: 0.6629 - accuracy: 0.6537
148/338 [============>.................] - ETA: 10s - loss: 0.6628 - accuracy: 0.6537
149/338 [============>.................] - ETA: 10s - loss: 0.6629 - accuracy: 0.6537
150/338 [============>.................] - ETA: 10s - loss: 0.6628 - accuracy: 0.6538
151/338 [============>.................] - ETA: 9s - loss: 0.6628 - accuracy: 0.6538
152/338 [============>.................] - ETA: 9s - loss: 0.6630 - accuracy: 0.6530
153/338 [============>.................] - ETA: 9s - loss: 0.6630 - accuracy: 0.6528
154/338 [============>.................] - ETA: 9s - loss: 0.6629 - accuracy: 0.6528
155/338 [============>.................] - ETA: 9s - loss: 0.6627 - accuracy: 0.6534
156/338 [============>.................] - ETA: 9s - loss: 0.6625 - accuracy: 0.6538
157/338 [============>.................] - ETA: 9s - loss: 0.6627 - accuracy: 0.6531
158/338 [=============>................] - ETA: 9s - loss: 0.6627 - accuracy: 0.6529
159/338 [=============>................] - ETA: 9s - loss: 0.6627 - accuracy: 0.6529
160/338 [=============>................] - ETA: 9s - loss: 0.6629 - accuracy: 0.6523
161/338 [=============>................] - ETA: 9s - loss: 0.6628 - accuracy: 0.6522
162/338 [=============>................] - ETA: 9s - loss: 0.6626 - accuracy: 0.6526
163/338 [=============>................] - ETA: 9s - loss: 0.6628 - accuracy: 0.6522
164/338 [=============>................] - ETA: 9s - loss: 0.6628 - accuracy: 0.6519
165/338 [=============>................] - ETA: 9s - loss: 0.6630 - accuracy: 0.6513
166/338 [=============>................] - ETA: 9s - loss: 0.6629 - accuracy: 0.6517
167/338 [=============>................] - ETA: 9s - loss: 0.6632 - accuracy: 0.6506
168/338 [=============>................] - ETA: 9s - loss: 0.6632 - accuracy: 0.6505
169/338 [==============>...............] - ETA: 9s - loss: 0.6631 - accuracy: 0.6507
170/338 [==============>...............] - ETA: 8s - loss: 0.6629 - accuracy: 0.6511
171/338 [==============>...............] - ETA: 8s - loss: 0.6630 - accuracy: 0.6508
172/338 [==============>...............] - ETA: 8s - loss: 0.6633 - accuracy: 0.6501
173/338 [==============>...............] - ETA: 8s - loss: 0.6633 - accuracy: 0.6503
174/338 [==============>...............] - ETA: 8s - loss: 0.6634 - accuracy: 0.6496
175/338 [==============>...............] - ETA: 8s - loss: 0.6635 - accuracy: 0.6495
176/338 [==============>...............] - ETA: 8s - loss: 0.6633 - accuracy: 0.6500
177/338 [==============>...............] - ETA: 8s - loss: 0.6637 - accuracy: 0.6492
178/338 [==============>...............] - ETA: 8s - loss: 0.6634 - accuracy: 0.6499
179/338 [==============>...............] - ETA: 8s - loss: 0.6635 - accuracy: 0.6493
180/338 [==============>...............] - ETA: 8s - loss: 0.6633 - accuracy: 0.6498
181/338 [===============>..............] - ETA: 8s - loss: 0.6634 - accuracy: 0.6495
182/338 [===============>..............] - ETA: 8s - loss: 0.6635 - accuracy: 0.6494
183/338 [===============>..............] - ETA: 8s - loss: 0.6632 - accuracy: 0.6498
184/338 [===============>..............] - ETA: 8s - loss: 0.6631 - accuracy: 0.6500
185/338 [===============>..............] - ETA: 8s - loss: 0.6631 - accuracy: 0.6498
186/338 [===============>..............] - ETA: 8s - loss: 0.6629 - accuracy: 0.6500
187/338 [===============>..............] - ETA: 8s - loss: 0.6629 - accuracy: 0.6501
188/338 [===============>..............] - ETA: 8s - loss: 0.6630 - accuracy: 0.6496
189/338 [===============>..............] - ETA: 7s - loss: 0.6630 - accuracy: 0.6495
190/338 [===============>..............] - ETA: 7s - loss: 0.6631 - accuracy: 0.6490
191/338 [===============>..............] - ETA: 7s - loss: 0.6629 - accuracy: 0.6499
192/338 [================>.............] - ETA: 7s - loss: 0.6629 - accuracy: 0.6496
193/338 [================>.............] - ETA: 7s - loss: 0.6630 - accuracy: 0.6494
194/338 [================>.............] - ETA: 7s - loss: 0.6629 - accuracy: 0.6495
195/338 [================>.............] - ETA: 7s - loss: 0.6628 - accuracy: 0.6495
196/338 [================>.............] - ETA: 7s - loss: 0.6628 - accuracy: 0.6492
197/338 [================>.............] - ETA: 7s - loss: 0.6629 - accuracy: 0.6490
198/338 [================>.............] - ETA: 7s - loss: 0.6631 - accuracy: 0.6485
199/338 [================>.............] - ETA: 7s - loss: 0.6632 - accuracy: 0.6482
200/338 [================>.............] - ETA: 7s - loss: 0.6631 - accuracy: 0.6483
201/338 [================>.............] - ETA: 7s - loss: 0.6631 - accuracy: 0.6479
202/338 [================>.............] - ETA: 7s - loss: 0.6628 - accuracy: 0.6487
203/338 [=================>............] - ETA: 7s - loss: 0.6629 - accuracy: 0.6489
204/338 [=================>............] - ETA: 7s - loss: 0.6629 - accuracy: 0.6487
205/338 [=================>............] - ETA: 7s - loss: 0.6629 - accuracy: 0.6486
206/338 [=================>............] - ETA: 7s - loss: 0.6630 - accuracy: 0.6481
207/338 [=================>............] - ETA: 6s - loss: 0.6631 - accuracy: 0.6476
208/338 [=================>............] - ETA: 6s - loss: 0.6629 - accuracy: 0.6478
209/338 [=================>............] - ETA: 6s - loss: 0.6629 - accuracy: 0.6480
210/338 [=================>............] - ETA: 6s - loss: 0.6629 - accuracy: 0.6479
211/338 [=================>............] - ETA: 6s - loss: 0.6626 - accuracy: 0.6485
212/338 [=================>............] - ETA: 6s - loss: 0.6628 - accuracy: 0.6477
213/338 [=================>............] - ETA: 6s - loss: 0.6627 - accuracy: 0.6479
214/338 [=================>............] - ETA: 6s - loss: 0.6626 - accuracy: 0.6481
215/338 [==================>...........] - ETA: 6s - loss: 0.6625 - accuracy: 0.6484
216/338 [==================>...........] - ETA: 6s - loss: 0.6625 - accuracy: 0.6484
217/338 [==================>...........] - ETA: 6s - loss: 0.6622 - accuracy: 0.6489
218/338 [==================>...........] - ETA: 6s - loss: 0.6620 - accuracy: 0.6497
219/338 [==================>...........] - ETA: 6s - loss: 0.6621 - accuracy: 0.6494
220/338 [==================>...........] - ETA: 6s - loss: 0.6621 - accuracy: 0.6493
221/338 [==================>...........] - ETA: 6s - loss: 0.6623 - accuracy: 0.6488
222/338 [==================>...........] - ETA: 6s - loss: 0.6622 - accuracy: 0.6492
223/338 [==================>...........] - ETA: 6s - loss: 0.6622 - accuracy: 0.6491
224/338 [==================>...........] - ETA: 6s - loss: 0.6622 - accuracy: 0.6491
225/338 [==================>...........] - ETA: 6s - loss: 0.6622 - accuracy: 0.6492
226/338 [===================>..........] - ETA: 5s - loss: 0.6620 - accuracy: 0.6496
227/338 [===================>..........] - ETA: 5s - loss: 0.6619 - accuracy: 0.6499
228/338 [===================>..........] - ETA: 5s - loss: 0.6618 - accuracy: 0.6504
229/338 [===================>..........] - ETA: 5s - loss: 0.6615 - accuracy: 0.6512
230/338 [===================>..........] - ETA: 5s - loss: 0.6615 - accuracy: 0.6512
231/338 [===================>..........] - ETA: 5s - loss: 0.6615 - accuracy: 0.6512
232/338 [===================>..........] - ETA: 5s - loss: 0.6616 - accuracy: 0.6507
233/338 [===================>..........] - ETA: 5s - loss: 0.6616 - accuracy: 0.6508
234/338 [===================>..........] - ETA: 5s - loss: 0.6615 - accuracy: 0.6508
235/338 [===================>..........] - ETA: 5s - loss: 0.6618 - accuracy: 0.6496
236/338 [===================>..........] - ETA: 5s - loss: 0.6617 - accuracy: 0.6498
237/338 [====================>.........] - ETA: 5s - loss: 0.6615 - accuracy: 0.6502
238/338 [====================>.........] - ETA: 5s - loss: 0.6617 - accuracy: 0.6497
239/338 [====================>.........] - ETA: 5s - loss: 0.6615 - accuracy: 0.6498
240/338 [====================>.........] - ETA: 5s - loss: 0.6616 - accuracy: 0.6499
241/338 [====================>.........] - ETA: 5s - loss: 0.6614 - accuracy: 0.6503
242/338 [====================>.........] - ETA: 5s - loss: 0.6612 - accuracy: 0.6510
243/338 [====================>.........] - ETA: 5s - loss: 0.6610 - accuracy: 0.6517
244/338 [====================>.........] - ETA: 5s - loss: 0.6610 - accuracy: 0.6515
245/338 [====================>.........] - ETA: 4s - loss: 0.6611 - accuracy: 0.6513
246/338 [====================>.........] - ETA: 4s - loss: 0.6612 - accuracy: 0.6509
247/338 [====================>.........] - ETA: 4s - loss: 0.6612 - accuracy: 0.6509
248/338 [=====================>........] - ETA: 4s - loss: 0.6609 - accuracy: 0.6516
249/338 [=====================>........] - ETA: 4s - loss: 0.6608 - accuracy: 0.6517
250/338 [=====================>........] - ETA: 4s - loss: 0.6607 - accuracy: 0.6518
251/338 [=====================>........] - ETA: 4s - loss: 0.6608 - accuracy: 0.6515
252/338 [=====================>........] - ETA: 4s - loss: 0.6609 - accuracy: 0.6509
253/338 [=====================>........] - ETA: 4s - loss: 0.6610 - accuracy: 0.6507
254/338 [=====================>........] - ETA: 4s - loss: 0.6610 - accuracy: 0.6503
255/338 [=====================>........] - ETA: 4s - loss: 0.6611 - accuracy: 0.6498
256/338 [=====================>........] - ETA: 4s - loss: 0.6612 - accuracy: 0.6497
257/338 [=====================>........] - ETA: 4s - loss: 0.6613 - accuracy: 0.6494
258/338 [=====================>........] - ETA: 4s - loss: 0.6612 - accuracy: 0.6500
259/338 [=====================>........] - ETA: 4s - loss: 0.6610 - accuracy: 0.6502
260/338 [======================>.......] - ETA: 4s - loss: 0.6611 - accuracy: 0.6499
261/338 [======================>.......] - ETA: 4s - loss: 0.6613 - accuracy: 0.6491
262/338 [======================>.......] - ETA: 4s - loss: 0.6613 - accuracy: 0.6490
263/338 [======================>.......] - ETA: 4s - loss: 0.6611 - accuracy: 0.6496
264/338 [======================>.......] - ETA: 3s - loss: 0.6612 - accuracy: 0.6491
265/338 [======================>.......] - ETA: 3s - loss: 0.6614 - accuracy: 0.6485
266/338 [======================>.......] - ETA: 3s - loss: 0.6612 - accuracy: 0.6488
267/338 [======================>.......] - ETA: 3s - loss: 0.6612 - accuracy: 0.6488
268/338 [======================>.......] - ETA: 3s - loss: 0.6612 - accuracy: 0.6487
269/338 [======================>.......] - ETA: 3s - loss: 0.6610 - accuracy: 0.6489
270/338 [======================>.......] - ETA: 3s - loss: 0.6610 - accuracy: 0.6491
271/338 [=======================>......] - ETA: 3s - loss: 0.6610 - accuracy: 0.6489
272/338 [=======================>......] - ETA: 3s - loss: 0.6611 - accuracy: 0.6487
273/338 [=======================>......] - ETA: 3s - loss: 0.6611 - accuracy: 0.6485
274/338 [=======================>......] - ETA: 3s - loss: 0.6610 - accuracy: 0.6485
275/338 [=======================>......] - ETA: 3s - loss: 0.6611 - accuracy: 0.6485
276/338 [=======================>......] - ETA: 3s - loss: 0.6610 - accuracy: 0.6487
277/338 [=======================>......] - ETA: 3s - loss: 0.6610 - accuracy: 0.6484
278/338 [=======================>......] - ETA: 3s - loss: 0.6610 - accuracy: 0.6482
279/338 [=======================>......] - ETA: 3s - loss: 0.6609 - accuracy: 0.6484
280/338 [=======================>......] - ETA: 3s - loss: 0.6610 - accuracy: 0.6481
281/338 [=======================>......] - ETA: 3s - loss: 0.6609 - accuracy: 0.6482
282/338 [========================>.....] - ETA: 2s - loss: 0.6608 - accuracy: 0.6486
283/338 [========================>.....] - ETA: 2s - loss: 0.6606 - accuracy: 0.6489
284/338 [========================>.....] - ETA: 2s - loss: 0.6605 - accuracy: 0.6491
285/338 [========================>.....] - ETA: 2s - loss: 0.6605 - accuracy: 0.6490
286/338 [========================>.....] - ETA: 2s - loss: 0.6602 - accuracy: 0.6495
287/338 [========================>.....] - ETA: 2s - loss: 0.6602 - accuracy: 0.6494
288/338 [========================>.....] - ETA: 2s - loss: 0.6602 - accuracy: 0.6493
289/338 [========================>.....] - ETA: 2s - loss: 0.6601 - accuracy: 0.6495
290/338 [========================>.....] - ETA: 2s - loss: 0.6602 - accuracy: 0.6492
291/338 [========================>.....] - ETA: 2s - loss: 0.6600 - accuracy: 0.6496
292/338 [========================>.....] - ETA: 2s - loss: 0.6600 - accuracy: 0.6496
293/338 [=========================>....] - ETA: 2s - loss: 0.6601 - accuracy: 0.6493
294/338 [=========================>....] - ETA: 2s - loss: 0.6600 - accuracy: 0.6496
295/338 [=========================>....] - ETA: 2s - loss: 0.6600 - accuracy: 0.6494
296/338 [=========================>....] - ETA: 2s - loss: 0.6600 - accuracy: 0.6496
297/338 [=========================>....] - ETA: 2s - loss: 0.6599 - accuracy: 0.6497
298/338 [=========================>....] - ETA: 2s - loss: 0.6600 - accuracy: 0.6494
299/338 [=========================>....] - ETA: 2s - loss: 0.6599 - accuracy: 0.6499
300/338 [=========================>....] - ETA: 2s - loss: 0.6598 - accuracy: 0.6500
301/338 [=========================>....] - ETA: 1s - loss: 0.6597 - accuracy: 0.6501
302/338 [=========================>....] - ETA: 1s - loss: 0.6598 - accuracy: 0.6499
303/338 [=========================>....] - ETA: 1s - loss: 0.6600 - accuracy: 0.6494
304/338 [=========================>....] - ETA: 1s - loss: 0.6598 - accuracy: 0.6500
305/338 [==========================>...] - ETA: 1s - loss: 0.6599 - accuracy: 0.6498
306/338 [==========================>...] - ETA: 1s - loss: 0.6601 - accuracy: 0.6489
307/338 [==========================>...] - ETA: 1s - loss: 0.6601 - accuracy: 0.6488
308/338 [==========================>...] - ETA: 1s - loss: 0.6601 - accuracy: 0.6488
309/338 [==========================>...] - ETA: 1s - loss: 0.6602 - accuracy: 0.6485
310/338 [==========================>...] - ETA: 1s - loss: 0.6600 - accuracy: 0.6490
311/338 [==========================>...] - ETA: 1s - loss: 0.6600 - accuracy: 0.6490
312/338 [==========================>...] - ETA: 1s - loss: 0.6599 - accuracy: 0.6489
313/338 [==========================>...] - ETA: 1s - loss: 0.6598 - accuracy: 0.6492
314/338 [==========================>...] - ETA: 1s - loss: 0.6599 - accuracy: 0.6489
315/338 [==========================>...] - ETA: 1s - loss: 0.6599 - accuracy: 0.6489
316/338 [===========================>..] - ETA: 1s - loss: 0.6597 - accuracy: 0.6491
317/338 [===========================>..] - ETA: 1s - loss: 0.6599 - accuracy: 0.6488
318/338 [===========================>..] - ETA: 1s - loss: 0.6599 - accuracy: 0.6485
319/338 [===========================>..] - ETA: 1s - loss: 0.6598 - accuracy: 0.6489
320/338 [===========================>..] - ETA: 0s - loss: 0.6596 - accuracy: 0.6491
321/338 [===========================>..] - ETA: 0s - loss: 0.6597 - accuracy: 0.6489
322/338 [===========================>..] - ETA: 0s - loss: 0.6597 - accuracy: 0.6487
323/338 [===========================>..] - ETA: 0s - loss: 0.6595 - accuracy: 0.6490
324/338 [===========================>..] - ETA: 0s - loss: 0.6596 - accuracy: 0.6488
325/338 [===========================>..] - ETA: 0s - loss: 0.6595 - accuracy: 0.6491
326/338 [===========================>..] - ETA: 0s - loss: 0.6595 - accuracy: 0.6493
327/338 [============================>.] - ETA: 0s - loss: 0.6595 - accuracy: 0.6491
328/338 [============================>.] - ETA: 0s - loss: 0.6593 - accuracy: 0.6496
329/338 [============================>.] - ETA: 0s - loss: 0.6593 - accuracy: 0.6495
330/338 [============================>.] - ETA: 0s - loss: 0.6591 - accuracy: 0.6502
331/338 [============================>.] - ETA: 0s - loss: 0.6591 - accuracy: 0.6502
332/338 [============================>.] - ETA: 0s - loss: 0.6591 - accuracy: 0.6499
333/338 [============================>.] - ETA: 0s - loss: 0.6589 - accuracy: 0.6503
334/338 [============================>.] - ETA: 0s - loss: 0.6589 - accuracy: 0.6504
335/338 [============================>.] - ETA: 0s - loss: 0.6589 - accuracy: 0.6503
336/338 [============================>.] - ETA: 0s - loss: 0.6590 - accuracy: 0.6502
337/338 [============================>.] - ETA: 0s - loss: 0.6589 - accuracy: 0.6504
338/338 [==============================] - 20s 58ms/step - loss: 0.6589 - accuracy: 0.6503 - val_loss: 0.6639 - val_accuracy: 0.6169
Epoch 5/5
1/338 [..............................] - ETA: 18s - loss: 0.6363 - accuracy: 0.7500
2/338 [..............................] - ETA: 17s - loss: 0.6723 - accuracy: 0.6250
3/338 [..............................] - ETA: 17s - loss: 0.6570 - accuracy: 0.6354
4/338 [..............................] - ETA: 17s - loss: 0.6622 - accuracy: 0.6172
5/338 [..............................] - ETA: 17s - loss: 0.6599 - accuracy: 0.6187
6/338 [..............................] - ETA: 17s - loss: 0.6526 - accuracy: 0.6354
7/338 [..............................] - ETA: 17s - loss: 0.6504 - accuracy: 0.6473
8/338 [..............................] - ETA: 17s - loss: 0.6502 - accuracy: 0.6523
9/338 [..............................] - ETA: 17s - loss: 0.6467 - accuracy: 0.6632
10/338 [..............................] - ETA: 17s - loss: 0.6388 - accuracy: 0.6844
11/338 [..............................] - ETA: 17s - loss: 0.6454 - accuracy: 0.6648
12/338 [>.............................] - ETA: 17s - loss: 0.6435 - accuracy: 0.6693
13/338 [>.............................] - ETA: 17s - loss: 0.6418 - accuracy: 0.6731
14/338 [>.............................] - ETA: 17s - loss: 0.6395 - accuracy: 0.6786
15/338 [>.............................] - ETA: 17s - loss: 0.6388 - accuracy: 0.6812
16/338 [>.............................] - ETA: 17s - loss: 0.6435 - accuracy: 0.6719
17/338 [>.............................] - ETA: 17s - loss: 0.6427 - accuracy: 0.6746
18/338 [>.............................] - ETA: 17s - loss: 0.6425 - accuracy: 0.6753
19/338 [>.............................] - ETA: 17s - loss: 0.6430 - accuracy: 0.6727
20/338 [>.............................] - ETA: 17s - loss: 0.6423 - accuracy: 0.6734
21/338 [>.............................] - ETA: 17s - loss: 0.6426 - accuracy: 0.6726
22/338 [>.............................] - ETA: 17s - loss: 0.6416 - accuracy: 0.6747
23/338 [=>............................] - ETA: 17s - loss: 0.6425 - accuracy: 0.6712
24/338 [=>............................] - ETA: 17s - loss: 0.6430 - accuracy: 0.6680
25/338 [=>............................] - ETA: 17s - loss: 0.6422 - accuracy: 0.6700
26/338 [=>............................] - ETA: 16s - loss: 0.6411 - accuracy: 0.6731
27/338 [=>............................] - ETA: 16s - loss: 0.6422 - accuracy: 0.6725
28/338 [=>............................] - ETA: 16s - loss: 0.6427 - accuracy: 0.6708
29/338 [=>............................] - ETA: 16s - loss: 0.6419 - accuracy: 0.6724
30/338 [=>............................] - ETA: 16s - loss: 0.6419 - accuracy: 0.6729
31/338 [=>............................] - ETA: 16s - loss: 0.6430 - accuracy: 0.6694
32/338 [=>............................] - ETA: 16s - loss: 0.6423 - accuracy: 0.6709
33/338 [=>............................] - ETA: 16s - loss: 0.6415 - accuracy: 0.6733
34/338 [==>...........................] - ETA: 16s - loss: 0.6407 - accuracy: 0.6746
35/338 [==>...........................] - ETA: 16s - loss: 0.6398 - accuracy: 0.6777
36/338 [==>...........................] - ETA: 16s - loss: 0.6396 - accuracy: 0.6788
37/338 [==>...........................] - ETA: 16s - loss: 0.6384 - accuracy: 0.6816
38/338 [==>...........................] - ETA: 16s - loss: 0.6397 - accuracy: 0.6785
39/338 [==>...........................] - ETA: 16s - loss: 0.6397 - accuracy: 0.6779
40/338 [==>...........................] - ETA: 16s - loss: 0.6396 - accuracy: 0.6773
41/338 [==>...........................] - ETA: 15s - loss: 0.6401 - accuracy: 0.6768
42/338 [==>...........................] - ETA: 15s - loss: 0.6403 - accuracy: 0.6763
43/338 [==>...........................] - ETA: 15s - loss: 0.6407 - accuracy: 0.6744
44/338 [==>...........................] - ETA: 15s - loss: 0.6402 - accuracy: 0.6747
45/338 [==>...........................] - ETA: 15s - loss: 0.6398 - accuracy: 0.6757
46/338 [===>..........................] - ETA: 15s - loss: 0.6406 - accuracy: 0.6732
47/338 [===>..........................] - ETA: 15s - loss: 0.6405 - accuracy: 0.6735
48/338 [===>..........................] - ETA: 15s - loss: 0.6407 - accuracy: 0.6725
49/338 [===>..........................] - ETA: 15s - loss: 0.6416 - accuracy: 0.6709
50/338 [===>..........................] - ETA: 15s - loss: 0.6413 - accuracy: 0.6725
51/338 [===>..........................] - ETA: 15s - loss: 0.6421 - accuracy: 0.6703
52/338 [===>..........................] - ETA: 15s - loss: 0.6422 - accuracy: 0.6707
53/338 [===>..........................] - ETA: 15s - loss: 0.6423 - accuracy: 0.6710
54/338 [===>..........................] - ETA: 15s - loss: 0.6415 - accuracy: 0.6730
55/338 [===>..........................] - ETA: 15s - loss: 0.6426 - accuracy: 0.6710
56/338 [===>..........................] - ETA: 15s - loss: 0.6428 - accuracy: 0.6713
57/338 [====>.........................] - ETA: 15s - loss: 0.6426 - accuracy: 0.6716
58/338 [====>.........................] - ETA: 15s - loss: 0.6418 - accuracy: 0.6724
59/338 [====>.........................] - ETA: 14s - loss: 0.6414 - accuracy: 0.6737
60/338 [====>.........................] - ETA: 14s - loss: 0.6415 - accuracy: 0.6734
61/338 [====>.........................] - ETA: 14s - loss: 0.6416 - accuracy: 0.6732
62/338 [====>.........................] - ETA: 14s - loss: 0.6414 - accuracy: 0.6734
63/338 [====>.........................] - ETA: 14s - loss: 0.6418 - accuracy: 0.6726
64/338 [====>.........................] - ETA: 14s - loss: 0.6413 - accuracy: 0.6738
65/338 [====>.........................] - ETA: 14s - loss: 0.6413 - accuracy: 0.6726
66/338 [====>.........................] - ETA: 14s - loss: 0.6420 - accuracy: 0.6714
67/338 [====>.........................] - ETA: 14s - loss: 0.6423 - accuracy: 0.6707
68/338 [=====>........................] - ETA: 14s - loss: 0.6429 - accuracy: 0.6696
69/338 [=====>........................] - ETA: 14s - loss: 0.6433 - accuracy: 0.6685
70/338 [=====>........................] - ETA: 14s - loss: 0.6441 - accuracy: 0.6670
71/338 [=====>........................] - ETA: 14s - loss: 0.6437 - accuracy: 0.6681
72/338 [=====>........................] - ETA: 14s - loss: 0.6433 - accuracy: 0.6684
73/338 [=====>........................] - ETA: 14s - loss: 0.6436 - accuracy: 0.6678
74/338 [=====>........................] - ETA: 14s - loss: 0.6436 - accuracy: 0.6681
75/338 [=====>........................] - ETA: 14s - loss: 0.6439 - accuracy: 0.6679
76/338 [=====>........................] - ETA: 14s - loss: 0.6439 - accuracy: 0.6682
77/338 [=====>........................] - ETA: 13s - loss: 0.6436 - accuracy: 0.6688
78/338 [=====>........................] - ETA: 13s - loss: 0.6435 - accuracy: 0.6691
79/338 [======>.......................] - ETA: 13s - loss: 0.6433 - accuracy: 0.6693
80/338 [======>.......................] - ETA: 13s - loss: 0.6426 - accuracy: 0.6711
81/338 [======>.......................] - ETA: 13s - loss: 0.6418 - accuracy: 0.6736
82/338 [======>.......................] - ETA: 13s - loss: 0.6414 - accuracy: 0.6749
83/338 [======>.......................] - ETA: 13s - loss: 0.6410 - accuracy: 0.6762
84/338 [======>.......................] - ETA: 13s - loss: 0.6411 - accuracy: 0.6756
85/338 [======>.......................] - ETA: 13s - loss: 0.6414 - accuracy: 0.6750
86/338 [======>.......................] - ETA: 13s - loss: 0.6413 - accuracy: 0.6751
87/338 [======>.......................] - ETA: 13s - loss: 0.6406 - accuracy: 0.6767
88/338 [======>.......................] - ETA: 13s - loss: 0.6404 - accuracy: 0.6768
89/338 [======>.......................] - ETA: 13s - loss: 0.6410 - accuracy: 0.6752
90/338 [======>.......................] - ETA: 13s - loss: 0.6408 - accuracy: 0.6757
91/338 [=======>......................] - ETA: 13s - loss: 0.6405 - accuracy: 0.6765
92/338 [=======>......................] - ETA: 13s - loss: 0.6408 - accuracy: 0.6763
93/338 [=======>......................] - ETA: 13s - loss: 0.6405 - accuracy: 0.6764
94/338 [=======>......................] - ETA: 13s - loss: 0.6399 - accuracy: 0.6775
95/338 [=======>......................] - ETA: 12s - loss: 0.6393 - accuracy: 0.6789
96/338 [=======>......................] - ETA: 12s - loss: 0.6394 - accuracy: 0.6787
97/338 [=======>......................] - ETA: 12s - loss: 0.6394 - accuracy: 0.6788
98/338 [=======>......................] - ETA: 12s - loss: 0.6397 - accuracy: 0.6779
99/338 [=======>......................] - ETA: 12s - loss: 0.6400 - accuracy: 0.6774
100/338 [=======>......................] - ETA: 12s - loss: 0.6401 - accuracy: 0.6772
101/338 [=======>......................] - ETA: 12s - loss: 0.6402 - accuracy: 0.6767
102/338 [========>.....................] - ETA: 12s - loss: 0.6399 - accuracy: 0.6774
103/338 [========>.....................] - ETA: 12s - loss: 0.6398 - accuracy: 0.6775
104/338 [========>.....................] - ETA: 12s - loss: 0.6401 - accuracy: 0.6767
105/338 [========>.....................] - ETA: 12s - loss: 0.6402 - accuracy: 0.6762
106/338 [========>.....................] - ETA: 12s - loss: 0.6405 - accuracy: 0.6757
107/338 [========>.....................] - ETA: 12s - loss: 0.6399 - accuracy: 0.6770
108/338 [========>.....................] - ETA: 12s - loss: 0.6398 - accuracy: 0.6774
109/338 [========>.....................] - ETA: 12s - loss: 0.6403 - accuracy: 0.6763
110/338 [========>.....................] - ETA: 12s - loss: 0.6404 - accuracy: 0.6764
111/338 [========>.....................] - ETA: 12s - loss: 0.6410 - accuracy: 0.6751
112/338 [========>.....................] - ETA: 12s - loss: 0.6407 - accuracy: 0.6758
113/338 [=========>....................] - ETA: 12s - loss: 0.6408 - accuracy: 0.6751
114/338 [=========>....................] - ETA: 11s - loss: 0.6403 - accuracy: 0.6754
115/338 [=========>....................] - ETA: 11s - loss: 0.6408 - accuracy: 0.6745
116/338 [=========>....................] - ETA: 11s - loss: 0.6407 - accuracy: 0.6740
117/338 [=========>....................] - ETA: 11s - loss: 0.6413 - accuracy: 0.6731
118/338 [=========>....................] - ETA: 11s - loss: 0.6414 - accuracy: 0.6729
119/338 [=========>....................] - ETA: 11s - loss: 0.6411 - accuracy: 0.6731
120/338 [=========>....................] - ETA: 11s - loss: 0.6405 - accuracy: 0.6742
121/338 [=========>....................] - ETA: 11s - loss: 0.6407 - accuracy: 0.6743
122/338 [=========>....................] - ETA: 11s - loss: 0.6411 - accuracy: 0.6734
123/338 [=========>....................] - ETA: 11s - loss: 0.6411 - accuracy: 0.6730
124/338 [==========>...................] - ETA: 11s - loss: 0.6412 - accuracy: 0.6721
125/338 [==========>...................] - ETA: 11s - loss: 0.6409 - accuracy: 0.6727
126/338 [==========>...................] - ETA: 11s - loss: 0.6408 - accuracy: 0.6731
127/338 [==========>...................] - ETA: 11s - loss: 0.6410 - accuracy: 0.6725
128/338 [==========>...................] - ETA: 11s - loss: 0.6412 - accuracy: 0.6719
129/338 [==========>...................] - ETA: 11s - loss: 0.6408 - accuracy: 0.6725
130/338 [==========>...................] - ETA: 11s - loss: 0.6412 - accuracy: 0.6724
131/338 [==========>...................] - ETA: 11s - loss: 0.6418 - accuracy: 0.6708
132/338 [==========>...................] - ETA: 11s - loss: 0.6418 - accuracy: 0.6707
133/338 [==========>...................] - ETA: 10s - loss: 0.6421 - accuracy: 0.6696
134/338 [==========>...................] - ETA: 10s - loss: 0.6419 - accuracy: 0.6698
135/338 [==========>...................] - ETA: 10s - loss: 0.6418 - accuracy: 0.6694
136/338 [===========>..................] - ETA: 10s - loss: 0.6415 - accuracy: 0.6698
137/338 [===========>..................] - ETA: 10s - loss: 0.6415 - accuracy: 0.6699
138/338 [===========>..................] - ETA: 10s - loss: 0.6414 - accuracy: 0.6703
139/338 [===========>..................] - ETA: 10s - loss: 0.6412 - accuracy: 0.6706
140/338 [===========>..................] - ETA: 10s - loss: 0.6412 - accuracy: 0.6703
141/338 [===========>..................] - ETA: 10s - loss: 0.6414 - accuracy: 0.6698
142/338 [===========>..................] - ETA: 10s - loss: 0.6415 - accuracy: 0.6697
143/338 [===========>..................] - ETA: 10s - loss: 0.6418 - accuracy: 0.6689
144/338 [===========>..................] - ETA: 10s - loss: 0.6416 - accuracy: 0.6695
145/338 [===========>..................] - ETA: 10s - loss: 0.6412 - accuracy: 0.6700
146/338 [===========>..................] - ETA: 10s - loss: 0.6412 - accuracy: 0.6699
147/338 [============>.................] - ETA: 10s - loss: 0.6410 - accuracy: 0.6701
148/338 [============>.................] - ETA: 10s - loss: 0.6412 - accuracy: 0.6700
149/338 [============>.................] - ETA: 10s - loss: 0.6413 - accuracy: 0.6697
150/338 [============>.................] - ETA: 10s - loss: 0.6417 - accuracy: 0.6690
151/338 [============>.................] - ETA: 10s - loss: 0.6417 - accuracy: 0.6693
152/338 [============>.................] - ETA: 9s - loss: 0.6417 - accuracy: 0.6692
153/338 [============>.................] - ETA: 9s - loss: 0.6418 - accuracy: 0.6685
154/338 [============>.................] - ETA: 9s - loss: 0.6418 - accuracy: 0.6686
155/338 [============>.................] - ETA: 9s - loss: 0.6421 - accuracy: 0.6681
156/338 [============>.................] - ETA: 9s - loss: 0.6417 - accuracy: 0.6689
157/338 [============>.................] - ETA: 9s - loss: 0.6415 - accuracy: 0.6690
158/338 [=============>................] - ETA: 9s - loss: 0.6417 - accuracy: 0.6685
159/338 [=============>................] - ETA: 9s - loss: 0.6416 - accuracy: 0.6686
160/338 [=============>................] - ETA: 9s - loss: 0.6418 - accuracy: 0.6684
161/338 [=============>................] - ETA: 9s - loss: 0.6423 - accuracy: 0.6673
162/338 [=============>................] - ETA: 9s - loss: 0.6429 - accuracy: 0.6661
163/338 [=============>................] - ETA: 9s - loss: 0.6434 - accuracy: 0.6653
164/338 [=============>................] - ETA: 9s - loss: 0.6430 - accuracy: 0.6662
165/338 [=============>................] - ETA: 9s - loss: 0.6429 - accuracy: 0.6665
166/338 [=============>................] - ETA: 9s - loss: 0.6433 - accuracy: 0.6655
167/338 [=============>................] - ETA: 9s - loss: 0.6436 - accuracy: 0.6649
168/338 [=============>................] - ETA: 9s - loss: 0.6438 - accuracy: 0.6644
169/338 [==============>...............] - ETA: 9s - loss: 0.6440 - accuracy: 0.6640
170/338 [==============>...............] - ETA: 8s - loss: 0.6441 - accuracy: 0.6642
171/338 [==============>...............] - ETA: 8s - loss: 0.6438 - accuracy: 0.6645
172/338 [==============>...............] - ETA: 8s - loss: 0.6441 - accuracy: 0.6641
173/338 [==============>...............] - ETA: 8s - loss: 0.6441 - accuracy: 0.6638
174/338 [==============>...............] - ETA: 8s - loss: 0.6447 - accuracy: 0.6625
175/338 [==============>...............] - ETA: 8s - loss: 0.6447 - accuracy: 0.6625
176/338 [==============>...............] - ETA: 8s - loss: 0.6451 - accuracy: 0.6616
177/338 [==============>...............] - ETA: 8s - loss: 0.6453 - accuracy: 0.6612
178/338 [==============>...............] - ETA: 8s - loss: 0.6453 - accuracy: 0.6612
179/338 [==============>...............] - ETA: 8s - loss: 0.6456 - accuracy: 0.6603
180/338 [==============>...............] - ETA: 8s - loss: 0.6453 - accuracy: 0.6608
181/338 [===============>..............] - ETA: 8s - loss: 0.6451 - accuracy: 0.6611
182/338 [===============>..............] - ETA: 8s - loss: 0.6450 - accuracy: 0.6614
183/338 [===============>..............] - ETA: 8s - loss: 0.6447 - accuracy: 0.6621
184/338 [===============>..............] - ETA: 8s - loss: 0.6450 - accuracy: 0.6615
185/338 [===============>..............] - ETA: 8s - loss: 0.6449 - accuracy: 0.6617
186/338 [===============>..............] - ETA: 8s - loss: 0.6451 - accuracy: 0.6615
187/338 [===============>..............] - ETA: 8s - loss: 0.6452 - accuracy: 0.6613
188/338 [===============>..............] - ETA: 8s - loss: 0.6452 - accuracy: 0.6616
189/338 [===============>..............] - ETA: 7s - loss: 0.6454 - accuracy: 0.6610
190/338 [===============>..............] - ETA: 7s - loss: 0.6456 - accuracy: 0.6607
191/338 [===============>..............] - ETA: 7s - loss: 0.6456 - accuracy: 0.6610
192/338 [================>.............] - ETA: 7s - loss: 0.6457 - accuracy: 0.6605
193/338 [================>.............] - ETA: 7s - loss: 0.6455 - accuracy: 0.6608
194/338 [================>.............] - ETA: 7s - loss: 0.6454 - accuracy: 0.6609
195/338 [================>.............] - ETA: 7s - loss: 0.6452 - accuracy: 0.6612
196/338 [================>.............] - ETA: 7s - loss: 0.6447 - accuracy: 0.6618
197/338 [================>.............] - ETA: 7s - loss: 0.6449 - accuracy: 0.6613
198/338 [================>.............] - ETA: 7s - loss: 0.6450 - accuracy: 0.6610
199/338 [================>.............] - ETA: 7s - loss: 0.6448 - accuracy: 0.6613
200/338 [================>.............] - ETA: 7s - loss: 0.6445 - accuracy: 0.6617
201/338 [================>.............] - ETA: 7s - loss: 0.6447 - accuracy: 0.6615
202/338 [================>.............] - ETA: 7s - loss: 0.6449 - accuracy: 0.6609
203/338 [=================>............] - ETA: 7s - loss: 0.6450 - accuracy: 0.6606
204/338 [=================>............] - ETA: 7s - loss: 0.6447 - accuracy: 0.6615
205/338 [=================>............] - ETA: 7s - loss: 0.6450 - accuracy: 0.6610
206/338 [=================>............] - ETA: 7s - loss: 0.6450 - accuracy: 0.6610
207/338 [=================>............] - ETA: 6s - loss: 0.6449 - accuracy: 0.6606
208/338 [=================>............] - ETA: 6s - loss: 0.6451 - accuracy: 0.6603
209/338 [=================>............] - ETA: 6s - loss: 0.6455 - accuracy: 0.6598
210/338 [=================>............] - ETA: 6s - loss: 0.6455 - accuracy: 0.6598
211/338 [=================>............] - ETA: 6s - loss: 0.6454 - accuracy: 0.6600
212/338 [=================>............] - ETA: 6s - loss: 0.6454 - accuracy: 0.6601
213/338 [=================>............] - ETA: 6s - loss: 0.6456 - accuracy: 0.6598
214/338 [=================>............] - ETA: 6s - loss: 0.6457 - accuracy: 0.6596
215/338 [==================>...........] - ETA: 6s - loss: 0.6456 - accuracy: 0.6597
216/338 [==================>...........] - ETA: 6s - loss: 0.6453 - accuracy: 0.6603
217/338 [==================>...........] - ETA: 6s - loss: 0.6454 - accuracy: 0.6599
218/338 [==================>...........] - ETA: 6s - loss: 0.6455 - accuracy: 0.6598
219/338 [==================>...........] - ETA: 6s - loss: 0.6454 - accuracy: 0.6600
220/338 [==================>...........] - ETA: 6s - loss: 0.6451 - accuracy: 0.6604
221/338 [==================>...........] - ETA: 6s - loss: 0.6452 - accuracy: 0.6602
222/338 [==================>...........] - ETA: 6s - loss: 0.6450 - accuracy: 0.6606
223/338 [==================>...........] - ETA: 6s - loss: 0.6449 - accuracy: 0.6607
224/338 [==================>...........] - ETA: 6s - loss: 0.6448 - accuracy: 0.6609
225/338 [==================>...........] - ETA: 6s - loss: 0.6449 - accuracy: 0.6608
226/338 [===================>..........] - ETA: 5s - loss: 0.6449 - accuracy: 0.6608
227/338 [===================>..........] - ETA: 5s - loss: 0.6447 - accuracy: 0.6609
228/338 [===================>..........] - ETA: 5s - loss: 0.6447 - accuracy: 0.6612
229/338 [===================>..........] - ETA: 5s - loss: 0.6447 - accuracy: 0.6609
230/338 [===================>..........] - ETA: 5s - loss: 0.6447 - accuracy: 0.6609
231/338 [===================>..........] - ETA: 5s - loss: 0.6448 - accuracy: 0.6607
232/338 [===================>..........] - ETA: 5s - loss: 0.6448 - accuracy: 0.6607
233/338 [===================>..........] - ETA: 5s - loss: 0.6446 - accuracy: 0.6612
234/338 [===================>..........] - ETA: 5s - loss: 0.6449 - accuracy: 0.6603
235/338 [===================>..........] - ETA: 5s - loss: 0.6452 - accuracy: 0.6598
236/338 [===================>..........] - ETA: 5s - loss: 0.6451 - accuracy: 0.6601
237/338 [====================>.........] - ETA: 5s - loss: 0.6452 - accuracy: 0.6597
238/338 [====================>.........] - ETA: 5s - loss: 0.6452 - accuracy: 0.6594
239/338 [====================>.........] - ETA: 5s - loss: 0.6451 - accuracy: 0.6595
240/338 [====================>.........] - ETA: 5s - loss: 0.6451 - accuracy: 0.6595
241/338 [====================>.........] - ETA: 5s - loss: 0.6452 - accuracy: 0.6594
242/338 [====================>.........] - ETA: 5s - loss: 0.6452 - accuracy: 0.6593
243/338 [====================>.........] - ETA: 5s - loss: 0.6452 - accuracy: 0.6592
244/338 [====================>.........] - ETA: 5s - loss: 0.6454 - accuracy: 0.6588
245/338 [====================>.........] - ETA: 4s - loss: 0.6451 - accuracy: 0.6593
246/338 [====================>.........] - ETA: 4s - loss: 0.6452 - accuracy: 0.6592
247/338 [====================>.........] - ETA: 4s - loss: 0.6451 - accuracy: 0.6593
248/338 [=====================>........] - ETA: 4s - loss: 0.6453 - accuracy: 0.6588
249/338 [=====================>........] - ETA: 4s - loss: 0.6452 - accuracy: 0.6589
250/338 [=====================>........] - ETA: 4s - loss: 0.6453 - accuracy: 0.6589
251/338 [=====================>........] - ETA: 4s - loss: 0.6452 - accuracy: 0.6592
252/338 [=====================>........] - ETA: 4s - loss: 0.6450 - accuracy: 0.6596
253/338 [=====================>........] - ETA: 4s - loss: 0.6448 - accuracy: 0.6597
254/338 [=====================>........] - ETA: 4s - loss: 0.6445 - accuracy: 0.6604
255/338 [=====================>........] - ETA: 4s - loss: 0.6446 - accuracy: 0.6602
256/338 [=====================>........] - ETA: 4s - loss: 0.6448 - accuracy: 0.6597
257/338 [=====================>........] - ETA: 4s - loss: 0.6448 - accuracy: 0.6597
258/338 [=====================>........] - ETA: 4s - loss: 0.6448 - accuracy: 0.6594
259/338 [=====================>........] - ETA: 4s - loss: 0.6448 - accuracy: 0.6597
260/338 [======================>.......] - ETA: 4s - loss: 0.6448 - accuracy: 0.6596
261/338 [======================>.......] - ETA: 4s - loss: 0.6447 - accuracy: 0.6598
262/338 [======================>.......] - ETA: 4s - loss: 0.6445 - accuracy: 0.6601
263/338 [======================>.......] - ETA: 4s - loss: 0.6445 - accuracy: 0.6601
264/338 [======================>.......] - ETA: 3s - loss: 0.6447 - accuracy: 0.6598
265/338 [======================>.......] - ETA: 3s - loss: 0.6453 - accuracy: 0.6588
266/338 [======================>.......] - ETA: 3s - loss: 0.6454 - accuracy: 0.6585
267/338 [======================>.......] - ETA: 3s - loss: 0.6454 - accuracy: 0.6584
268/338 [======================>.......] - ETA: 3s - loss: 0.6455 - accuracy: 0.6582
269/338 [======================>.......] - ETA: 3s - loss: 0.6453 - accuracy: 0.6583
270/338 [======================>.......] - ETA: 3s - loss: 0.6453 - accuracy: 0.6584
271/338 [=======================>......] - ETA: 3s - loss: 0.6454 - accuracy: 0.6582
272/338 [=======================>......] - ETA: 3s - loss: 0.6451 - accuracy: 0.6588
273/338 [=======================>......] - ETA: 3s - loss: 0.6450 - accuracy: 0.6590
274/338 [=======================>......] - ETA: 3s - loss: 0.6451 - accuracy: 0.6588
275/338 [=======================>......] - ETA: 3s - loss: 0.6450 - accuracy: 0.6591
276/338 [=======================>......] - ETA: 3s - loss: 0.6450 - accuracy: 0.6591
277/338 [=======================>......] - ETA: 3s - loss: 0.6450 - accuracy: 0.6592
278/338 [=======================>......] - ETA: 3s - loss: 0.6453 - accuracy: 0.6587
279/338 [=======================>......] - ETA: 3s - loss: 0.6452 - accuracy: 0.6589
280/338 [=======================>......] - ETA: 3s - loss: 0.6450 - accuracy: 0.6593
281/338 [=======================>......] - ETA: 3s - loss: 0.6447 - accuracy: 0.6599
282/338 [========================>.....] - ETA: 2s - loss: 0.6447 - accuracy: 0.6598
283/338 [========================>.....] - ETA: 2s - loss: 0.6447 - accuracy: 0.6597
284/338 [========================>.....] - ETA: 2s - loss: 0.6446 - accuracy: 0.6600
285/338 [========================>.....] - ETA: 2s - loss: 0.6447 - accuracy: 0.6600
286/338 [========================>.....] - ETA: 2s - loss: 0.6447 - accuracy: 0.6600
287/338 [========================>.....] - ETA: 2s - loss: 0.6446 - accuracy: 0.6601
288/338 [========================>.....] - ETA: 2s - loss: 0.6449 - accuracy: 0.6596
289/338 [========================>.....] - ETA: 2s - loss: 0.6452 - accuracy: 0.6591
290/338 [========================>.....] - ETA: 2s - loss: 0.6452 - accuracy: 0.6588
291/338 [========================>.....] - ETA: 2s - loss: 0.6452 - accuracy: 0.6586
292/338 [========================>.....] - ETA: 2s - loss: 0.6452 - accuracy: 0.6585
293/338 [=========================>....] - ETA: 2s - loss: 0.6453 - accuracy: 0.6584
294/338 [=========================>....] - ETA: 2s - loss: 0.6452 - accuracy: 0.6585
295/338 [=========================>....] - ETA: 2s - loss: 0.6452 - accuracy: 0.6586
296/338 [=========================>....] - ETA: 2s - loss: 0.6452 - accuracy: 0.6586
297/338 [=========================>....] - ETA: 2s - loss: 0.6454 - accuracy: 0.6580
298/338 [=========================>....] - ETA: 2s - loss: 0.6455 - accuracy: 0.6579
299/338 [=========================>....] - ETA: 2s - loss: 0.6454 - accuracy: 0.6578
300/338 [=========================>....] - ETA: 2s - loss: 0.6456 - accuracy: 0.6573
301/338 [=========================>....] - ETA: 1s - loss: 0.6457 - accuracy: 0.6573
302/338 [=========================>....] - ETA: 1s - loss: 0.6459 - accuracy: 0.6571
303/338 [=========================>....] - ETA: 1s - loss: 0.6458 - accuracy: 0.6571
304/338 [=========================>....] - ETA: 1s - loss: 0.6459 - accuracy: 0.6569
305/338 [==========================>...] - ETA: 1s - loss: 0.6458 - accuracy: 0.6569
306/338 [==========================>...] - ETA: 1s - loss: 0.6459 - accuracy: 0.6568
307/338 [==========================>...] - ETA: 1s - loss: 0.6457 - accuracy: 0.6569
308/338 [==========================>...] - ETA: 1s - loss: 0.6455 - accuracy: 0.6571
309/338 [==========================>...] - ETA: 1s - loss: 0.6455 - accuracy: 0.6570
310/338 [==========================>...] - ETA: 1s - loss: 0.6454 - accuracy: 0.6571
311/338 [==========================>...] - ETA: 1s - loss: 0.6454 - accuracy: 0.6569
312/338 [==========================>...] - ETA: 1s - loss: 0.6453 - accuracy: 0.6572
313/338 [==========================>...] - ETA: 1s - loss: 0.6453 - accuracy: 0.6571
314/338 [==========================>...] - ETA: 1s - loss: 0.6450 - accuracy: 0.6576
315/338 [==========================>...] - ETA: 1s - loss: 0.6450 - accuracy: 0.6576
316/338 [===========================>..] - ETA: 1s - loss: 0.6452 - accuracy: 0.6573
317/338 [===========================>..] - ETA: 1s - loss: 0.6451 - accuracy: 0.6573
318/338 [===========================>..] - ETA: 1s - loss: 0.6451 - accuracy: 0.6573
319/338 [===========================>..] - ETA: 1s - loss: 0.6452 - accuracy: 0.6570
320/338 [===========================>..] - ETA: 0s - loss: 0.6454 - accuracy: 0.6568
321/338 [===========================>..] - ETA: 0s - loss: 0.6452 - accuracy: 0.6570
322/338 [===========================>..] - ETA: 0s - loss: 0.6453 - accuracy: 0.6567
323/338 [===========================>..] - ETA: 0s - loss: 0.6454 - accuracy: 0.6565
324/338 [===========================>..] - ETA: 0s - loss: 0.6452 - accuracy: 0.6569
325/338 [===========================>..] - ETA: 0s - loss: 0.6453 - accuracy: 0.6568
326/338 [===========================>..] - ETA: 0s - loss: 0.6453 - accuracy: 0.6565
327/338 [============================>.] - ETA: 0s - loss: 0.6454 - accuracy: 0.6563
328/338 [============================>.] - ETA: 0s - loss: 0.6455 - accuracy: 0.6562
329/338 [============================>.] - ETA: 0s - loss: 0.6455 - accuracy: 0.6563
330/338 [============================>.] - ETA: 0s - loss: 0.6453 - accuracy: 0.6566
331/338 [============================>.] - ETA: 0s - loss: 0.6452 - accuracy: 0.6568
332/338 [============================>.] - ETA: 0s - loss: 0.6450 - accuracy: 0.6572
333/338 [============================>.] - ETA: 0s - loss: 0.6452 - accuracy: 0.6567
334/338 [============================>.] - ETA: 0s - loss: 0.6452 - accuracy: 0.6567
335/338 [============================>.] - ETA: 0s - loss: 0.6452 - accuracy: 0.6564
336/338 [============================>.] - ETA: 0s - loss: 0.6452 - accuracy: 0.6563
337/338 [============================>.] - ETA: 0s - loss: 0.6454 - accuracy: 0.6560
338/338 [==============================] - 20s 58ms/step - loss: 0.6454 - accuracy: 0.6559 - val_loss: 0.6539 - val_accuracy: 0.6351
1/97 [..............................] - ETA: 2s - loss: 0.6161 - accuracy: 0.7188
5/97 [>.............................] - ETA: 1s - loss: 0.6689 - accuracy: 0.6250
9/97 [=>............................] - ETA: 1s - loss: 0.6832 - accuracy: 0.5833
13/97 [===>..........................] - ETA: 1s - loss: 0.6713 - accuracy: 0.5986
17/97 [====>.........................] - ETA: 1s - loss: 0.6716 - accuracy: 0.5956
21/97 [=====>........................] - ETA: 1s - loss: 0.6706 - accuracy: 0.5923
25/97 [======>.......................] - ETA: 1s - loss: 0.6670 - accuracy: 0.6012
29/97 [=======>......................] - ETA: 1s - loss: 0.6664 - accuracy: 0.6034
33/97 [=========>....................] - ETA: 1s - loss: 0.6621 - accuracy: 0.6127
37/97 [==========>...................] - ETA: 0s - loss: 0.6591 - accuracy: 0.6191
40/97 [===========>..................] - ETA: 0s - loss: 0.6587 - accuracy: 0.6227
44/97 [============>.................] - ETA: 0s - loss: 0.6602 - accuracy: 0.6222
48/97 [=============>................] - ETA: 0s - loss: 0.6609 - accuracy: 0.6204
52/97 [===============>..............] - ETA: 0s - loss: 0.6577 - accuracy: 0.6250
55/97 [================>.............] - ETA: 0s - loss: 0.6572 - accuracy: 0.6256
59/97 [=================>............] - ETA: 0s - loss: 0.6579 - accuracy: 0.6245
63/97 [==================>...........] - ETA: 0s - loss: 0.6595 - accuracy: 0.6225
67/97 [===================>..........] - ETA: 0s - loss: 0.6594 - accuracy: 0.6217
71/97 [====================>.........] - ETA: 0s - loss: 0.6590 - accuracy: 0.6219
75/97 [======================>.......] - ETA: 0s - loss: 0.6566 - accuracy: 0.6258
79/97 [=======================>......] - ETA: 0s - loss: 0.6568 - accuracy: 0.6270
83/97 [========================>.....] - ETA: 0s - loss: 0.6562 - accuracy: 0.6291
87/97 [=========================>....] - ETA: 0s - loss: 0.6567 - accuracy: 0.6282
91/97 [===========================>..] - ETA: 0s - loss: 0.6563 - accuracy: 0.6288
95/97 [============================>.] - ETA: 0s - loss: 0.6549 - accuracy: 0.6326
97/97 [==============================] - 2s 16ms/step - loss: 0.6539 - accuracy: 0.6351
Performance drop after ablating c2: -0.10833609104156494
FAQ#
How do I choose which saliency model to use? Each saliency technique has it’s own strengths and weaknesses. If you are looking for an intuitive approach that produces the highest resolution image, then gradient backpropagation is the best choice. If you want to control which layer to look at and watch how the model evolves or are concerned about reliability, then Grad-CAM will perform better. If you don’t have access to the inner workings of the model or want to understand how a model would perform with slightly different inputs, then RISE is the best option. As a reminder, ablation analysis is used when trying to improve the training metrics of our model by editing its layers. This method allows us to determine which layers of the model are most important, or if some layers are hindering the learning capabilities of our model.
Why does my ablation analysis have a negative performance drop? A negative performance drop suggests that removing a layer would be beneficial to the accuracy of the model, which can actually be the case. In this particular scenario, however, it is more likely that your model ran into a fluke while training. Try cranking up the number of epochs and retraining for longer periods of time to get more consistent results.
What kind of models can these approaches be applied to? Many of these interpretation methods were chosen to be intentionally broad and general. Ablation analysis is a common technique used to test pretty much any deep neural network. While saliency maps can only be generated for image objects, we can still apply backpropagation and random input sampling on other models to pull out important features.
Exercises/Extensions#
Viewing different layers. Go back to the Grad-CAM implementation and select the first convolutional layer instead (typically named “conv2d”). Run the code and compare your heatmap with the one produced by the third layer. What differences do you notice in terms of resolution and regional focus? Repeat with the second convolutional layer. How does the model’s focus change?
Changing kernel size. Go back to the RISE implementation and try playing around with the size of the mask. How does this impact the saliency image generated? Try playing around with N (the number of masks) and p1 (the probability of a given cell being visible). How does the image change as N increases? 0.5 is a commonly accepted value of p1. What problems do we run into at small and large p1?
Other RISE implementations. The RISE algorithm can be implemented many different ones. In the given example, we create patches of visibility on an otherwise covered image. Try reversing the algorithm so that masks black out a piece of the image and leave the rest visible. How does this affect our saliency map? Which of these two methods is better in this particular case and why?
About this Notebook#
Info:
This notebook is based on the code repository for the paper ”DeepMerge: Classifying High-redshift Merging Galaxies with Deep Neural Networks”, A. Ćiprijanović, G.F. Snyder, B. Nord, J.E.G. Peek, Astronomy & Computing, Volume 32, July 2020, and the notebook “CNN_for_cluster_masses” by Michelle Ntampaka, Assistant Astronomer, mntampaka@stsci.edu.
Citations#
If you use this data set, astropy, or keras for published research, please cite the
authors. Follow these links for more information: