Emotion Recognition using ANN

# Looking at file name and extract information about the Class Label
import pandas as pd
import glob
from collections import Counter

filenames = glob.glob("/Users/sagar/Downloads/Audio_*_Actors_01-24/Actor_*/*.wav")

Audio-only files of all actors (01-24) are available as two separate zip files (~200 MB each):

Speech file (Audio_Speech_Actors_01-24.zip, 215 MB) contains 1440 files: 60 trials per actor x 24 actors = 1440. 
Song file (Audio_Song_Actors_01-24.zip, 198 MB) contains 1012 files: 44 trials per actor x 23 actors = 1012.


Each of the RAVDESS files has a unique filename. The filename consists of a 7-part numerical identifier (e.g., 02-01-06-01-02-01-12.mp4). These identifiers define the stimulus characteristics: 

Filename identifiers 
    Modality (01 = full-AV, 02 = video-only, 03 = audio-only).
    Vocal channel (01 = speech, 02 = song).
    Emotion (01 = neutral, 02 = calm, 03 = happy, 04 = sad, 05 = angry, 06 = fearful, 07 = disgust, 08 = surprised).
    Emotional intensity (01 = normal, 02 = strong). NOTE: There is no strong intensity for the 'neutral' emotion.
    Statement (01 = "Kids are talking by the door", 02 = "Dogs are sitting by the door").
    Repetition (01 = 1st repetition, 02 = 2nd repetition).
    Actor (01 to 24. Odd numbered actors are male, even numbered actors are female).

Filename example: 02-01-06-01-02-01-12.mp4 
    Video-only (02)
    Speech (01)
    Fearful (06)
    Normal intensity (01)
    Statement "dogs" (02)
    1st Repetition (01)
    12th Actor (12)
    Female, as the actor ID number is even.

emotions_id={
  '01':'neutral',
  '02':'calm',
  '03':'happy',
  '04':'sad',
  '05':'angry',
  '06':'fearful',
  '07':'disgust',
  '08':'surprised'
}
label_counts = dict(Counter([x.split('/')[-1].split('-')[2] for x in filenames]))
label_counts = {emotions_id[k]:v for k,v in label_counts.items()}
label_counts

{'happy': 376,
 'calm': 376,
 'neutral': 188,
 'fearful': 376,
 'angry': 376,
 'sad': 376,
 'disgust': 192,
 'surprised': 192}

Note: If we go about creating a classifier for all the 8 emotions we might have to look out for 
      class imballance for the 3 downsampled class (['neutral', 'disgust', 'surprised'])
      The way to take care of them would be:
      1. Not to look at Accuracy as a metric for validation/train
      2. We can go about Tree based algorithms (eg: XGBoost) where we can specify class weights for prediction neutrality.
      
      
      We can also drop those classes and train a classifier to only detect the balanced classes [happy, sad, fearful, angry, calm]

# Lets visualise how a single sound File looks like and its features
fid = filenames[200]
print(fid)

/Users/sagar/Downloads/Audio_Song_Actors_01-24/Actor_19/03-02-02-02-02-02-19.wav

import librosa
import soundfile
import os, glob, pickle
import numpy as np

sf = soundfile.SoundFile(fid)
data = sf.read(dtype="float32")
sample_rate = sf.samplerate

sf

SoundFile('/Users/sagar/Downloads/Audio_Song_Actors_01-24/Actor_19/03-02-02-02-02-02-19.wav', mode='r', samplerate=48000, channels=1, format='WAV', subtype='PCM_16', endian='FILE')

data[:10]

array([0., 0., 0., 0., 0., 0., 0., 0., 0., 0.], dtype=float32)

duration = data.shape[0]/sample_rate
duration

4.8048125

sample_rate

48000

import IPython.display as ipd
ipd.Audio(fid)

# Waveplot
%matplotlib inline
import matplotlib.pyplot as plt
import librosa.display
plt.figure(figsize=(20, 5))
librosa.display.waveplot(data, sr=sample_rate)

<matplotlib.collections.PolyCollection at 0x12ea65f40>

# Spectrogram
x_stft = librosa.stft(data)
x_db = librosa.amplitude_to_db(abs(x_stft))
plt.figure(figsize=(14, 5))
librosa.display.specshow(x_stft, sr=sample_rate, x_axis='time', y_axis='hz', ) 
plt.colorbar()

plt.figure(figsize=(14, 5))
librosa.display.specshow(x_db, sr=sample_rate, x_axis='time', y_axis='hz', ) 
plt.colorbar()

/Users/sagar/envs/ds/lib/python3.8/site-packages/librosa/display.py:822: UserWarning: Trying to display complex-valued input. Showing magnitude instead.
  warnings.warn(

<matplotlib.colorbar.Colorbar at 0x12ece55b0>

# mel_scpetrogram
mel_spec = librosa.feature.melspectrogram(data, sr=sample_rate )
print('shape:', mel_spec.shape)
plt.figure(figsize=(20, 5))
librosa.display.specshow(mel_spec, sr=sample_rate, x_axis='time')

plt.figure(figsize=(20, 5))
plt.plot(np.mean(mel_spec, axis=0))

plt.figure(figsize=(20, 5))
plt.plot(np.mean(mel_spec, axis=1))

shape: (128, 451)

[<matplotlib.lines.Line2D at 0x12ee02250>]

#chroma sftt (chroma spectogram)
x_stft = librosa.stft(data)
chroma = librosa.feature.chroma_stft(S=x_stft, sr=sample_rate, n_chroma=13)
print('shape:' ,chroma.shape)
plt.figure(figsize=(20, 5))
librosa.display.specshow(chroma, sr=sample_rate, x_axis='time')


plt.figure(figsize=(20, 5))
plt.plot(np.mean(np.real(chroma), axis=0))

plt.figure(figsize=(20, 5))
plt.plot(np.mean(np.real(chroma), axis=1))

shape: (13, 451)

/Users/sagar/envs/ds/lib/python3.8/site-packages/librosa/display.py:822: UserWarning: Trying to display complex-valued input. Showing magnitude instead.
  warnings.warn(

[<matplotlib.lines.Line2D at 0x12eefaa90>]

# MFCC: Mel-Frequency Cepstral Coefficients
mfccs = librosa.feature.mfcc(data, sr=sample_rate, n_mfcc=13)
print('shape:', mfccs.shape)
plt.figure(figsize=(20, 5))
librosa.display.specshow(mfccs, sr=sample_rate, x_axis='time')

plt.figure(figsize=(20, 5))
plt.plot(np.mean(mfccs, axis=0))

plt.figure(figsize=(20, 5))
plt.plot(np.mean(mfccs, axis=1))

shape: (13, 451)

[<matplotlib.lines.Line2D at 0x12effa550>]

# Zero Crossings
plt.figure(figsize=(20, 5))
librosa.display.waveplot(data[100000:100100], sr=sample_rate)
plt.figure(figsize=(20, 5))
plt.plot(data[100000:100100])
plt.grid()
zero_crossings = librosa.zero_crossings(data[100000:100100], pad=False)
print('Number of Zero Crossing in interval: ', sum(zero_crossings))

Number of Zero Crossing in interval:  8

import librosa
import soundfile
import os, glob, pickle
import numpy as np
from sklearn.model_selection import train_test_split
from sklearn.neural_network import MLPClassifier
from sklearn.metrics import accuracy_score

def extract_feature(file_name, mfcc=True, chroma=True, mel=True, zero_crossing=True):
    with soundfile.SoundFile(file_name) as sound_file:
        X = sound_file.read(dtype="float32")
        sample_rate=sound_file.samplerate
        result=np.array([])
        if mfcc:
            mfccs=np.mean(librosa.feature.mfcc(y=X, sr=sample_rate, n_mfcc=40).T, axis=0)
            result=np.hstack((result, mfccs))
        if chroma:
            stft=np.abs(librosa.stft(X))
            chroma=np.mean(librosa.feature.chroma_stft(S=stft, sr=sample_rate, n_chroma=24).T,axis=0)
            result=np.hstack((result, chroma))
        if mel:
            mel=np.mean(librosa.feature.melspectrogram(X, sr=sample_rate).T,axis=0)
            result=np.hstack((result, mel))
        if zero_crossing:
            zc = sum(librosa.zero_crossings(X, pad=False))
            result=np.hstack((result, zc))
    return result

from collections import Counter

emotions={
  '01':'neutral',
  '02':'calm',
  '03':'happy',
  '04':'sad',
  '05':'angry',
  '06':'fearful',
  '07':'disgust',
  '08':'surprised'
}
reverse_emotions = {v:k for k,v in emotions.items()}

# observed_emotions=['calm', 'happy', 'fearful', 'disgust'] // 82
observed_emotions=list(emotions.values())


filenames = glob.glob("/Users/sagar/Downloads/Audio_*_Actors_01-24/Actor_*/*.wav")
id_counts = dict(Counter([x.split('/')[-1].split('-')[2] for x in filenames]))
label_counts = {emotions[k]:v for k,v in id_counts.items()}

def load_data():
    x,y=[],[]
    for file in filenames:
        try:
            file_name=os.path.basename(file)
            emotion=emotions[file_name.split("-")[2]]
            if emotion not in observed_emotions:
                continue
            feature=extract_feature(file)
            x.append(feature)
            y.append(emotion)
        except Exception as e:
            print(e, file)
    return [np.array(x), y]

data_x, data_y = load_data()

Invalid shape for monophonic audio: ndim=2, shape=(229029, 2) /Users/sagar/Downloads/Audio_Song_Actors_01-24/Actor_24/03-02-01-01-01-01-24.wav
Invalid shape for monophonic audio: ndim=2, shape=(209809, 2) /Users/sagar/Downloads/Audio_Speech_Actors_01-24/Actor_20/03-01-06-01-01-02-20.wav
Invalid shape for monophonic audio: ndim=2, shape=(166566, 2) /Users/sagar/Downloads/Audio_Speech_Actors_01-24/Actor_20/03-01-03-01-02-01-20.wav
Invalid shape for monophonic audio: ndim=2, shape=(203403, 2) /Users/sagar/Downloads/Audio_Speech_Actors_01-24/Actor_05/03-01-02-01-02-02-05.wav
Invalid shape for monophonic audio: ndim=2, shape=(172972, 2) /Users/sagar/Downloads/Audio_Speech_Actors_01-24/Actor_01/03-01-02-01-01-02-01.wav
Invalid shape for monophonic audio: ndim=2, shape=(156956, 2) /Users/sagar/Downloads/Audio_Speech_Actors_01-24/Actor_01/03-01-08-01-02-02-01.wav

#Keras-tf model MLP with Dense

import tensorflow
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense
from tensorflow.keras.utils import to_categorical
from tensorflow.keras.callbacks import EarlyStopping, ReduceLROnPlateau
from sklearn.metrics import classification_report, confusion_matrix

# reduce_lr = ReduceLROnPlateau(monitor='val_loss', factor=0.3, patience=5, min_lr=0.001)

reverse_emotions

{'neutral': '01',
 'calm': '02',
 'happy': '03',
 'sad': '04',
 'angry': '05',
 'fearful': '06',
 'disgust': '07',
 'surprised': '08'}

# Data
x_train,x_test,y_train,y_test = train_test_split(data_x, data_y, test_size=0.3, random_state=9)

y_train = to_categorical([int(reverse_emotions[x])-1 for x in y_train])
y_test = to_categorical([int(reverse_emotions[x])-1 for x in y_test])

# Configuration options
feature_vector_length = x_train.shape[1]
num_classes = len(observed_emotions)

input_shape = (feature_vector_length,)

INPUT_VECTOR(193) : IN(120) : H(80: 50: 30: 20): OP(8)

array([0., 0., 0., 1., 0., 0., 0., 0.], dtype=float32)

# Create the model
np.random.seed(1) # repr


model = Sequential()
model.add(Dense(120, input_shape=input_shape, activation='relu'))
model.add(Dense(100, activation='relu'))
model.add(Dense(80, activation='relu'))
model.add(Dense(50, activation='relu'))
model.add(Dense(30, activation='relu'))
model.add(Dense(20, activation='relu'))

model.add(Dense(num_classes, activation='softmax'))

# Configure the model and start training
model.compile(loss='categorical_crossentropy', optimizer='adam', metrics=['accuracy'])

early_stop_cb = EarlyStopping(monitor='accuracy', patience=10)

history = model.fit(x_train, y_train, epochs=1500, batch_size=4*16, verbose=1, shuffle=True, validation_split=0.2, callbacks=[early_stop_cb], use_multiprocessing=True, workers=3, )

# Test the model after training
test_results = model.evaluate(x_test, y_test, verbose=1)
print(f'Test results - Loss: {test_results[0]} - accuracy: {test_results[1]}%')

y_pred = model.predict(x_test)
print(classification_report(y_test.argmax(axis=1), y_pred.argmax(axis=1)))
print(confusion_matrix(y_test.argmax(axis=1), y_pred.argmax(axis=1)))

Epoch 1/1500
22/22 [==============================] - 1s 11ms/step - loss: 103.5907 - accuracy: 0.1142 - val_loss: 25.7881 - val_accuracy: 0.0729
Epoch 2/1500
22/22 [==============================] - 0s 3ms/step - loss: 14.9788 - accuracy: 0.1381 - val_loss: 5.7090 - val_accuracy: 0.1691
Epoch 3/1500
22/22 [==============================] - 0s 4ms/step - loss: 5.6084 - accuracy: 0.1620 - val_loss: 6.6970 - val_accuracy: 0.0729
Epoch 4/1500
22/22 [==============================] - 0s 4ms/step - loss: 4.5416 - accuracy: 0.1169 - val_loss: 2.8380 - val_accuracy: 0.1341
Epoch 5/1500
22/22 [==============================] - 0s 4ms/step - loss: 2.6755 - accuracy: 0.1342 - val_loss: 2.1830 - val_accuracy: 0.1137
Epoch 6/1500
22/22 [==============================] - 0s 4ms/step - loss: 2.2042 - accuracy: 0.1539 - val_loss: 3.1231 - val_accuracy: 0.0962
Epoch 7/1500
22/22 [==============================] - 0s 4ms/step - loss: 2.9146 - accuracy: 0.1189 - val_loss: 2.8376 - val_accuracy: 0.1603
Epoch 8/1500
22/22 [==============================] - 0s 4ms/step - loss: 2.7768 - accuracy: 0.1745 - val_loss: 2.7360 - val_accuracy: 0.0962
Epoch 9/1500
22/22 [==============================] - 0s 4ms/step - loss: 2.6562 - accuracy: 0.1203 - val_loss: 2.3610 - val_accuracy: 0.1254
Epoch 10/1500
22/22 [==============================] - 0s 3ms/step - loss: 2.2779 - accuracy: 0.1720 - val_loss: 2.4770 - val_accuracy: 0.1224
Epoch 11/1500
22/22 [==============================] - 0s 4ms/step - loss: 2.4017 - accuracy: 0.1876 - val_loss: 2.2222 - val_accuracy: 0.1837
Epoch 12/1500
22/22 [==============================] - 0s 3ms/step - loss: 2.2270 - accuracy: 0.1607 - val_loss: 3.9676 - val_accuracy: 0.1224
Epoch 13/1500
22/22 [==============================] - 0s 3ms/step - loss: 3.1311 - accuracy: 0.1629 - val_loss: 2.7453 - val_accuracy: 0.0962
Epoch 14/1500
22/22 [==============================] - 0s 3ms/step - loss: 2.6421 - accuracy: 0.1502 - val_loss: 2.4315 - val_accuracy: 0.0991
Epoch 15/1500
22/22 [==============================] - 0s 3ms/step - loss: 2.2576 - accuracy: 0.1409 - val_loss: 3.1666 - val_accuracy: 0.1341
Epoch 16/1500
22/22 [==============================] - 0s 4ms/step - loss: 2.7523 - accuracy: 0.1455 - val_loss: 3.2236 - val_accuracy: 0.1079
Epoch 17/1500
22/22 [==============================] - 0s 3ms/step - loss: 2.6702 - accuracy: 0.1439 - val_loss: 2.5641 - val_accuracy: 0.1370
Epoch 18/1500
22/22 [==============================] - 0s 4ms/step - loss: 2.3002 - accuracy: 0.1625 - val_loss: 2.6842 - val_accuracy: 0.1254
Epoch 19/1500
22/22 [==============================] - 0s 3ms/step - loss: 2.2644 - accuracy: 0.1859 - val_loss: 3.2201 - val_accuracy: 0.1224
Epoch 20/1500
22/22 [==============================] - 0s 4ms/step - loss: 2.4355 - accuracy: 0.1457 - val_loss: 2.8682 - val_accuracy: 0.1108
Epoch 21/1500
22/22 [==============================] - 0s 3ms/step - loss: 2.5242 - accuracy: 0.1611 - val_loss: 2.6402 - val_accuracy: 0.1137
Epoch 22/1500
22/22 [==============================] - 0s 3ms/step - loss: 2.5655 - accuracy: 0.1736 - val_loss: 2.3080 - val_accuracy: 0.1895
Epoch 23/1500
22/22 [==============================] - 0s 3ms/step - loss: 2.2397 - accuracy: 0.1869 - val_loss: 2.2528 - val_accuracy: 0.1516
Epoch 24/1500
22/22 [==============================] - 0s 4ms/step - loss: 2.1838 - accuracy: 0.2075 - val_loss: 2.2333 - val_accuracy: 0.2449
Epoch 25/1500
22/22 [==============================] - 0s 3ms/step - loss: 2.1026 - accuracy: 0.2004 - val_loss: 2.6093 - val_accuracy: 0.1224
Epoch 26/1500
22/22 [==============================] - 0s 3ms/step - loss: 2.5634 - accuracy: 0.1702 - val_loss: 2.2044 - val_accuracy: 0.1545
Epoch 27/1500
22/22 [==============================] - 0s 3ms/step - loss: 2.2654 - accuracy: 0.1816 - val_loss: 2.1811 - val_accuracy: 0.1895
Epoch 28/1500
22/22 [==============================] - 0s 4ms/step - loss: 2.0923 - accuracy: 0.2022 - val_loss: 1.9635 - val_accuracy: 0.2128
Epoch 29/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.9478 - accuracy: 0.2203 - val_loss: 1.9369 - val_accuracy: 0.2682
Epoch 30/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.9818 - accuracy: 0.2261 - val_loss: 2.0951 - val_accuracy: 0.1983
Epoch 31/1500
22/22 [==============================] - 0s 3ms/step - loss: 2.0887 - accuracy: 0.2065 - val_loss: 2.4966 - val_accuracy: 0.1837
Epoch 32/1500
22/22 [==============================] - 0s 4ms/step - loss: 2.5913 - accuracy: 0.1792 - val_loss: 2.3683 - val_accuracy: 0.1370
Epoch 33/1500
22/22 [==============================] - 0s 3ms/step - loss: 2.2561 - accuracy: 0.1894 - val_loss: 2.1732 - val_accuracy: 0.1458
Epoch 34/1500
22/22 [==============================] - 0s 7ms/step - loss: 2.2172 - accuracy: 0.1852 - val_loss: 1.9835 - val_accuracy: 0.2274
Epoch 35/1500
22/22 [==============================] - 0s 4ms/step - loss: 2.0429 - accuracy: 0.2192 - val_loss: 1.9684 - val_accuracy: 0.2070
Epoch 36/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.9720 - accuracy: 0.2407 - val_loss: 2.6750 - val_accuracy: 0.0904
Epoch 37/1500
22/22 [==============================] - 0s 3ms/step - loss: 2.2747 - accuracy: 0.1898 - val_loss: 2.5080 - val_accuracy: 0.1633
Epoch 38/1500
22/22 [==============================] - 0s 3ms/step - loss: 2.2295 - accuracy: 0.2174 - val_loss: 2.3922 - val_accuracy: 0.1283
Epoch 39/1500
22/22 [==============================] - 0s 4ms/step - loss: 2.3058 - accuracy: 0.1783 - val_loss: 2.7742 - val_accuracy: 0.1399
Epoch 40/1500
22/22 [==============================] - 0s 4ms/step - loss: 2.4011 - accuracy: 0.1796 - val_loss: 1.9499 - val_accuracy: 0.1895
Epoch 41/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.8919 - accuracy: 0.2545 - val_loss: 1.9112 - val_accuracy: 0.2507
Epoch 42/1500
22/22 [==============================] - 0s 4ms/step - loss: 2.0602 - accuracy: 0.2335 - val_loss: 2.0105 - val_accuracy: 0.2303
Epoch 43/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.9769 - accuracy: 0.2419 - val_loss: 2.0603 - val_accuracy: 0.1808
Epoch 44/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.9354 - accuracy: 0.2428 - val_loss: 1.9190 - val_accuracy: 0.2449
Epoch 45/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.8802 - accuracy: 0.2890 - val_loss: 2.8693 - val_accuracy: 0.1254
Epoch 46/1500
22/22 [==============================] - 0s 4ms/step - loss: 2.2895 - accuracy: 0.2051 - val_loss: 2.6567 - val_accuracy: 0.1283
Epoch 47/1500
22/22 [==============================] - 0s 3ms/step - loss: 2.3552 - accuracy: 0.1676 - val_loss: 1.9204 - val_accuracy: 0.2945
Epoch 48/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.9385 - accuracy: 0.2535 - val_loss: 2.0331 - val_accuracy: 0.2157
Epoch 49/1500
22/22 [==============================] - 0s 4ms/step - loss: 2.0477 - accuracy: 0.2376 - val_loss: 2.4961 - val_accuracy: 0.1429
Epoch 50/1500
22/22 [==============================] - 0s 4ms/step - loss: 2.0650 - accuracy: 0.2159 - val_loss: 1.9975 - val_accuracy: 0.2041
Epoch 51/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.8874 - accuracy: 0.2782 - val_loss: 2.2078 - val_accuracy: 0.1545
Epoch 52/1500
22/22 [==============================] - 0s 4ms/step - loss: 2.2237 - accuracy: 0.2027 - val_loss: 1.8418 - val_accuracy: 0.2945
Epoch 53/1500
22/22 [==============================] - 0s 4ms/step - loss: 2.0458 - accuracy: 0.2852 - val_loss: 2.5214 - val_accuracy: 0.1312
Epoch 54/1500
22/22 [==============================] - 0s 4ms/step - loss: 2.1556 - accuracy: 0.2176 - val_loss: 2.0854 - val_accuracy: 0.2128
Epoch 55/1500
22/22 [==============================] - 0s 5ms/step - loss: 2.1718 - accuracy: 0.2363 - val_loss: 1.9379 - val_accuracy: 0.2770
Epoch 56/1500
22/22 [==============================] - 0s 6ms/step - loss: 1.8318 - accuracy: 0.2898 - val_loss: 1.9987 - val_accuracy: 0.2332
Epoch 57/1500
22/22 [==============================] - 0s 4ms/step - loss: 2.0262 - accuracy: 0.2482 - val_loss: 2.3186 - val_accuracy: 0.1574
Epoch 58/1500
22/22 [==============================] - 0s 3ms/step - loss: 2.0470 - accuracy: 0.2496 - val_loss: 2.3770 - val_accuracy: 0.1574
Epoch 59/1500
22/22 [==============================] - 0s 3ms/step - loss: 2.3668 - accuracy: 0.1820 - val_loss: 2.0445 - val_accuracy: 0.2012
Epoch 60/1500
22/22 [==============================] - 0s 3ms/step - loss: 2.1059 - accuracy: 0.2272 - val_loss: 2.0018 - val_accuracy: 0.2507
Epoch 61/1500
22/22 [==============================] - 0s 4ms/step - loss: 2.0121 - accuracy: 0.2376 - val_loss: 1.9173 - val_accuracy: 0.2741
Epoch 62/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.9362 - accuracy: 0.2755 - val_loss: 1.9832 - val_accuracy: 0.2420
Epoch 63/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.9386 - accuracy: 0.2351 - val_loss: 2.0019 - val_accuracy: 0.2099
Epoch 64/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.8676 - accuracy: 0.2641 - val_loss: 2.1495 - val_accuracy: 0.2682
Epoch 65/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.9219 - accuracy: 0.2839 - val_loss: 1.8985 - val_accuracy: 0.2828
Epoch 66/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.8077 - accuracy: 0.3041 - val_loss: 1.8932 - val_accuracy: 0.2595
Epoch 67/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.9922 - accuracy: 0.2533 - val_loss: 1.8922 - val_accuracy: 0.2478
Epoch 68/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.8619 - accuracy: 0.2665 - val_loss: 2.0064 - val_accuracy: 0.1924
Epoch 69/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.9072 - accuracy: 0.2907 - val_loss: 1.8416 - val_accuracy: 0.2653
Epoch 70/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.8286 - accuracy: 0.2842 - val_loss: 1.9204 - val_accuracy: 0.2449
Epoch 71/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.8525 - accuracy: 0.2859 - val_loss: 1.7957 - val_accuracy: 0.3032
Epoch 72/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.8439 - accuracy: 0.2746 - val_loss: 1.9465 - val_accuracy: 0.2303
Epoch 73/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.8192 - accuracy: 0.2967 - val_loss: 2.0018 - val_accuracy: 0.2886
Epoch 74/1500
22/22 [==============================] - 0s 9ms/step - loss: 1.9267 - accuracy: 0.2898 - val_loss: 1.9795 - val_accuracy: 0.2391
Epoch 75/1500
22/22 [==============================] - 0s 8ms/step - loss: 1.9149 - accuracy: 0.2799 - val_loss: 2.0449 - val_accuracy: 0.2449
Epoch 76/1500
22/22 [==============================] - 0s 5ms/step - loss: 1.8791 - accuracy: 0.2595 - val_loss: 1.9600 - val_accuracy: 0.3294
Epoch 77/1500
22/22 [==============================] - 0s 5ms/step - loss: 1.8693 - accuracy: 0.2710 - val_loss: 1.8279 - val_accuracy: 0.2741
Epoch 78/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.8969 - accuracy: 0.2683 - val_loss: 1.8738 - val_accuracy: 0.2507
Epoch 79/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.8974 - accuracy: 0.2726 - val_loss: 2.4807 - val_accuracy: 0.2653
Epoch 80/1500
22/22 [==============================] - 0s 4ms/step - loss: 2.1920 - accuracy: 0.2227 - val_loss: 1.8033 - val_accuracy: 0.2799
Epoch 81/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.8361 - accuracy: 0.2546 - val_loss: 1.9632 - val_accuracy: 0.2391
Epoch 82/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.8101 - accuracy: 0.2701 - val_loss: 1.8882 - val_accuracy: 0.2566
Epoch 83/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.8269 - accuracy: 0.2949 - val_loss: 1.9599 - val_accuracy: 0.2128
Epoch 84/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.8374 - accuracy: 0.2739 - val_loss: 1.7475 - val_accuracy: 0.3090
Epoch 85/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.7314 - accuracy: 0.3284 - val_loss: 1.8593 - val_accuracy: 0.3236
Epoch 86/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.7697 - accuracy: 0.2847 - val_loss: 1.9853 - val_accuracy: 0.2187
Epoch 87/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.9010 - accuracy: 0.2517 - val_loss: 1.7342 - val_accuracy: 0.3120
Epoch 88/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.7675 - accuracy: 0.2974 - val_loss: 1.8242 - val_accuracy: 0.2886
Epoch 89/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.8310 - accuracy: 0.2977 - val_loss: 1.9839 - val_accuracy: 0.2245
Epoch 90/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.9187 - accuracy: 0.2859 - val_loss: 2.0574 - val_accuracy: 0.2886
Epoch 91/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.9314 - accuracy: 0.2724 - val_loss: 1.8968 - val_accuracy: 0.2682
Epoch 92/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.7938 - accuracy: 0.3041 - val_loss: 1.7408 - val_accuracy: 0.3353
Epoch 93/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.7430 - accuracy: 0.3227 - val_loss: 1.8031 - val_accuracy: 0.3061
Epoch 94/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.8338 - accuracy: 0.2999 - val_loss: 2.1162 - val_accuracy: 0.3090
Epoch 95/1500
22/22 [==============================] - 0s 3ms/step - loss: 2.0515 - accuracy: 0.2567 - val_loss: 1.9638 - val_accuracy: 0.3294
Epoch 96/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.7805 - accuracy: 0.3165 - val_loss: 1.7620 - val_accuracy: 0.3353
Epoch 97/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.7292 - accuracy: 0.3221 - val_loss: 1.8488 - val_accuracy: 0.3236
Epoch 98/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.7859 - accuracy: 0.2941 - val_loss: 1.7983 - val_accuracy: 0.3265
Epoch 99/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.7787 - accuracy: 0.2952 - val_loss: 1.7868 - val_accuracy: 0.3265
Epoch 100/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.8444 - accuracy: 0.3042 - val_loss: 1.7463 - val_accuracy: 0.2945
Epoch 101/1500
22/22 [==============================] - 0s 5ms/step - loss: 1.7327 - accuracy: 0.3074 - val_loss: 1.7736 - val_accuracy: 0.3353
Epoch 102/1500
22/22 [==============================] - 0s 5ms/step - loss: 1.7290 - accuracy: 0.3241 - val_loss: 1.7079 - val_accuracy: 0.3469
Epoch 103/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.6769 - accuracy: 0.3546 - val_loss: 1.8188 - val_accuracy: 0.3061
Epoch 104/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.7727 - accuracy: 0.2911 - val_loss: 2.1404 - val_accuracy: 0.2974
Epoch 105/1500
22/22 [==============================] - 0s 3ms/step - loss: 2.0429 - accuracy: 0.2693 - val_loss: 1.9726 - val_accuracy: 0.3178
Epoch 106/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.8626 - accuracy: 0.2854 - val_loss: 1.8903 - val_accuracy: 0.2974
Epoch 107/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.7882 - accuracy: 0.3036 - val_loss: 1.8608 - val_accuracy: 0.2566
Epoch 108/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.8666 - accuracy: 0.2765 - val_loss: 1.7290 - val_accuracy: 0.3149
Epoch 109/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.7984 - accuracy: 0.2924 - val_loss: 1.8850 - val_accuracy: 0.3120
Epoch 110/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.7879 - accuracy: 0.3071 - val_loss: 2.1973 - val_accuracy: 0.2857
Epoch 111/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.9479 - accuracy: 0.2676 - val_loss: 1.7510 - val_accuracy: 0.3207
Epoch 112/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.7961 - accuracy: 0.3046 - val_loss: 1.8576 - val_accuracy: 0.3236
Epoch 113/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.8634 - accuracy: 0.2808 - val_loss: 1.7941 - val_accuracy: 0.2478
Epoch 114/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.7516 - accuracy: 0.3035 - val_loss: 1.7273 - val_accuracy: 0.3149
Epoch 115/1500
22/22 [==============================] - 0s 7ms/step - loss: 1.7959 - accuracy: 0.3018 - val_loss: 1.8658 - val_accuracy: 0.2711
Epoch 116/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.7837 - accuracy: 0.2788 - val_loss: 1.7581 - val_accuracy: 0.3469
Epoch 117/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.7636 - accuracy: 0.2825 - val_loss: 1.7580 - val_accuracy: 0.2886
Epoch 118/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.6993 - accuracy: 0.3044 - val_loss: 1.9164 - val_accuracy: 0.2566
Epoch 119/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.7126 - accuracy: 0.3333 - val_loss: 1.7627 - val_accuracy: 0.2974
Epoch 120/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.6939 - accuracy: 0.3392 - val_loss: 1.7727 - val_accuracy: 0.3265
Epoch 121/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.6633 - accuracy: 0.3473 - val_loss: 1.7825 - val_accuracy: 0.2886
Epoch 122/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.7459 - accuracy: 0.3047 - val_loss: 1.8540 - val_accuracy: 0.2828
Epoch 123/1500
22/22 [==============================] - 0s 6ms/step - loss: 1.7712 - accuracy: 0.3095 - val_loss: 1.6454 - val_accuracy: 0.3644
Epoch 124/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.6442 - accuracy: 0.3440 - val_loss: 1.7916 - val_accuracy: 0.3382
Epoch 125/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.7030 - accuracy: 0.3484 - val_loss: 1.7217 - val_accuracy: 0.3761
Epoch 126/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.7153 - accuracy: 0.3279 - val_loss: 1.6691 - val_accuracy: 0.3703
Epoch 127/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.6212 - accuracy: 0.3724 - val_loss: 1.9345 - val_accuracy: 0.2915
Epoch 128/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.7746 - accuracy: 0.3293 - val_loss: 1.7849 - val_accuracy: 0.3207
Epoch 129/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.7235 - accuracy: 0.3324 - val_loss: 1.6676 - val_accuracy: 0.3294
Epoch 130/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.7793 - accuracy: 0.2944 - val_loss: 1.7086 - val_accuracy: 0.3440
Epoch 131/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.6831 - accuracy: 0.3208 - val_loss: 1.7326 - val_accuracy: 0.3440
Epoch 132/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.6593 - accuracy: 0.3421 - val_loss: 1.9290 - val_accuracy: 0.3061
Epoch 133/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.8931 - accuracy: 0.3070 - val_loss: 1.9536 - val_accuracy: 0.2478
Epoch 134/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.7393 - accuracy: 0.3323 - val_loss: 1.7062 - val_accuracy: 0.3528
Epoch 135/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.6094 - accuracy: 0.3631 - val_loss: 1.8074 - val_accuracy: 0.3265
Epoch 136/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.6986 - accuracy: 0.3304 - val_loss: 1.6852 - val_accuracy: 0.3440
Epoch 137/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.6553 - accuracy: 0.3548 - val_loss: 1.7288 - val_accuracy: 0.3353
Epoch 138/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.7202 - accuracy: 0.3347 - val_loss: 1.8807 - val_accuracy: 0.3207
Epoch 139/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.7658 - accuracy: 0.3368 - val_loss: 1.6956 - val_accuracy: 0.3353
Epoch 140/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.6240 - accuracy: 0.3660 - val_loss: 1.7437 - val_accuracy: 0.3411
Epoch 141/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.6534 - accuracy: 0.3574 - val_loss: 1.6421 - val_accuracy: 0.3528
Epoch 142/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.5936 - accuracy: 0.3620 - val_loss: 1.8911 - val_accuracy: 0.2741
Epoch 143/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.6858 - accuracy: 0.3240 - val_loss: 1.6629 - val_accuracy: 0.3411
Epoch 144/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.6076 - accuracy: 0.3762 - val_loss: 1.6505 - val_accuracy: 0.3557
Epoch 145/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.5841 - accuracy: 0.3879 - val_loss: 1.6376 - val_accuracy: 0.3878
Epoch 146/1500
22/22 [==============================] - 0s 5ms/step - loss: 1.6469 - accuracy: 0.3411 - val_loss: 1.7835 - val_accuracy: 0.3265
Epoch 147/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.6118 - accuracy: 0.3822 - val_loss: 1.8812 - val_accuracy: 0.2595
Epoch 148/1500
22/22 [==============================] - 0s 5ms/step - loss: 1.6507 - accuracy: 0.3547 - val_loss: 1.6557 - val_accuracy: 0.3499
Epoch 149/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.6581 - accuracy: 0.3479 - val_loss: 1.7920 - val_accuracy: 0.3149
Epoch 150/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.7394 - accuracy: 0.3232 - val_loss: 1.7517 - val_accuracy: 0.3673
Epoch 151/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.6649 - accuracy: 0.3550 - val_loss: 1.7696 - val_accuracy: 0.3557
Epoch 152/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.6475 - accuracy: 0.3241 - val_loss: 1.6789 - val_accuracy: 0.3673
Epoch 153/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.6456 - accuracy: 0.3600 - val_loss: 1.6176 - val_accuracy: 0.3528
Epoch 154/1500
22/22 [==============================] - 0s 7ms/step - loss: 1.6338 - accuracy: 0.3415 - val_loss: 1.7989 - val_accuracy: 0.3061
Epoch 155/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.5933 - accuracy: 0.3752 - val_loss: 1.6457 - val_accuracy: 0.3557
Epoch 156/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.5864 - accuracy: 0.3577 - val_loss: 1.7290 - val_accuracy: 0.3586
Epoch 157/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.6052 - accuracy: 0.3768 - val_loss: 1.7186 - val_accuracy: 0.3265
Epoch 158/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.6686 - accuracy: 0.3298 - val_loss: 1.7056 - val_accuracy: 0.3615
Epoch 159/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.6831 - accuracy: 0.3469 - val_loss: 1.6717 - val_accuracy: 0.3761
Epoch 160/1500
22/22 [==============================] - 0s 5ms/step - loss: 1.6265 - accuracy: 0.3724 - val_loss: 1.8623 - val_accuracy: 0.3090
Epoch 161/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.6304 - accuracy: 0.3685 - val_loss: 1.7216 - val_accuracy: 0.3469
Epoch 162/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.7033 - accuracy: 0.3443 - val_loss: 1.8005 - val_accuracy: 0.3440
Epoch 163/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.6284 - accuracy: 0.3702 - val_loss: 1.6434 - val_accuracy: 0.3819
Epoch 164/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.5544 - accuracy: 0.3792 - val_loss: 1.6027 - val_accuracy: 0.3557
Epoch 165/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.5530 - accuracy: 0.3865 - val_loss: 1.7626 - val_accuracy: 0.3207
Epoch 166/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.6260 - accuracy: 0.3547 - val_loss: 1.6998 - val_accuracy: 0.3878
Epoch 167/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.5611 - accuracy: 0.3704 - val_loss: 1.6313 - val_accuracy: 0.3878
Epoch 168/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.6984 - accuracy: 0.3351 - val_loss: 1.9501 - val_accuracy: 0.3120
Epoch 169/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.7143 - accuracy: 0.3591 - val_loss: 1.6498 - val_accuracy: 0.3673
Epoch 170/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.6207 - accuracy: 0.3434 - val_loss: 1.6867 - val_accuracy: 0.3673
Epoch 171/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.6036 - accuracy: 0.3690 - val_loss: 1.6328 - val_accuracy: 0.3703
Epoch 172/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.5957 - accuracy: 0.3699 - val_loss: 1.6576 - val_accuracy: 0.3936
Epoch 173/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.6515 - accuracy: 0.3422 - val_loss: 1.6967 - val_accuracy: 0.3732
Epoch 174/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.6381 - accuracy: 0.3440 - val_loss: 1.5975 - val_accuracy: 0.3819
Epoch 175/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.6796 - accuracy: 0.3308 - val_loss: 2.0959 - val_accuracy: 0.3178
Epoch 176/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.7234 - accuracy: 0.3505 - val_loss: 1.6785 - val_accuracy: 0.3440
Epoch 177/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.5681 - accuracy: 0.3824 - val_loss: 1.5949 - val_accuracy: 0.3878
Epoch 178/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.5944 - accuracy: 0.3780 - val_loss: 1.7132 - val_accuracy: 0.3469
Epoch 179/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.6055 - accuracy: 0.3642 - val_loss: 1.7576 - val_accuracy: 0.3120
Epoch 180/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.6655 - accuracy: 0.3748 - val_loss: 1.7156 - val_accuracy: 0.3469
Epoch 181/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.5607 - accuracy: 0.3761 - val_loss: 1.7310 - val_accuracy: 0.3265
Epoch 182/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.5989 - accuracy: 0.3826 - val_loss: 1.7032 - val_accuracy: 0.3761
Epoch 183/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.6100 - accuracy: 0.3794 - val_loss: 1.5767 - val_accuracy: 0.3703
Epoch 184/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.5753 - accuracy: 0.3798 - val_loss: 1.6532 - val_accuracy: 0.3936
Epoch 185/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.5804 - accuracy: 0.3889 - val_loss: 1.5702 - val_accuracy: 0.3557
Epoch 186/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.6480 - accuracy: 0.3332 - val_loss: 1.6912 - val_accuracy: 0.3324
Epoch 187/1500
22/22 [==============================] - 0s 18ms/step - loss: 1.5439 - accuracy: 0.3799 - val_loss: 1.5863 - val_accuracy: 0.4023
Epoch 188/1500
22/22 [==============================] - 0s 6ms/step - loss: 1.5200 - accuracy: 0.3928 - val_loss: 1.6123 - val_accuracy: 0.3848
Epoch 189/1500
22/22 [==============================] - 0s 5ms/step - loss: 1.5655 - accuracy: 0.3735 - val_loss: 1.6576 - val_accuracy: 0.3878
Epoch 190/1500
22/22 [==============================] - 0s 6ms/step - loss: 1.6422 - accuracy: 0.3826 - val_loss: 1.6224 - val_accuracy: 0.3819
Epoch 191/1500
22/22 [==============================] - 0s 5ms/step - loss: 1.6174 - accuracy: 0.3536 - val_loss: 1.7820 - val_accuracy: 0.3090
Epoch 192/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.6958 - accuracy: 0.3410 - val_loss: 1.5916 - val_accuracy: 0.4023
Epoch 193/1500
22/22 [==============================] - 0s 5ms/step - loss: 1.6416 - accuracy: 0.3745 - val_loss: 1.5701 - val_accuracy: 0.3673
Epoch 194/1500
22/22 [==============================] - 0s 5ms/step - loss: 1.5676 - accuracy: 0.3626 - val_loss: 1.6692 - val_accuracy: 0.3382
Epoch 195/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.6319 - accuracy: 0.3548 - val_loss: 1.6872 - val_accuracy: 0.3848
Epoch 196/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.5881 - accuracy: 0.3780 - val_loss: 1.6517 - val_accuracy: 0.3499
Epoch 197/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.6887 - accuracy: 0.3291 - val_loss: 1.8686 - val_accuracy: 0.3324
Epoch 198/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.6455 - accuracy: 0.3553 - val_loss: 1.6376 - val_accuracy: 0.3528
Epoch 199/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.6407 - accuracy: 0.3405 - val_loss: 1.7014 - val_accuracy: 0.3878
Epoch 200/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.6287 - accuracy: 0.3611 - val_loss: 1.8425 - val_accuracy: 0.2915
Epoch 201/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.6669 - accuracy: 0.3540 - val_loss: 1.7528 - val_accuracy: 0.3528
Epoch 202/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.6550 - accuracy: 0.3617 - val_loss: 1.6289 - val_accuracy: 0.3907
Epoch 203/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.5730 - accuracy: 0.3806 - val_loss: 1.5785 - val_accuracy: 0.3615
Epoch 204/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.6048 - accuracy: 0.3804 - val_loss: 1.7191 - val_accuracy: 0.3353
Epoch 205/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.7474 - accuracy: 0.3431 - val_loss: 1.7827 - val_accuracy: 0.3061
Epoch 206/1500
22/22 [==============================] - 0s 5ms/step - loss: 1.6895 - accuracy: 0.3577 - val_loss: 1.6357 - val_accuracy: 0.3615
Epoch 207/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.5995 - accuracy: 0.3788 - val_loss: 1.5856 - val_accuracy: 0.3907
Epoch 208/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.5583 - accuracy: 0.3901 - val_loss: 1.6541 - val_accuracy: 0.3178
Epoch 209/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.5441 - accuracy: 0.4169 - val_loss: 2.0001 - val_accuracy: 0.2770
Epoch 210/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.7728 - accuracy: 0.3209 - val_loss: 1.6440 - val_accuracy: 0.3499
Epoch 211/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.6259 - accuracy: 0.3497 - val_loss: 1.5561 - val_accuracy: 0.4111
Epoch 212/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.5195 - accuracy: 0.3998 - val_loss: 1.5221 - val_accuracy: 0.3936
Epoch 213/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.4652 - accuracy: 0.4274 - val_loss: 1.7357 - val_accuracy: 0.3236
Epoch 214/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.6188 - accuracy: 0.3776 - val_loss: 1.7897 - val_accuracy: 0.3382
Epoch 215/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.7528 - accuracy: 0.3321 - val_loss: 1.7090 - val_accuracy: 0.3090
Epoch 216/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.6239 - accuracy: 0.3638 - val_loss: 1.6147 - val_accuracy: 0.3878
Epoch 217/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.5404 - accuracy: 0.3778 - val_loss: 1.5458 - val_accuracy: 0.3732
Epoch 218/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.4793 - accuracy: 0.4104 - val_loss: 1.5067 - val_accuracy: 0.4111
Epoch 219/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.4780 - accuracy: 0.4132 - val_loss: 1.7402 - val_accuracy: 0.3207
Epoch 220/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.5828 - accuracy: 0.3695 - val_loss: 1.5324 - val_accuracy: 0.4052
Epoch 221/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.5024 - accuracy: 0.3831 - val_loss: 1.5174 - val_accuracy: 0.4023
Epoch 222/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.4760 - accuracy: 0.4278 - val_loss: 1.6530 - val_accuracy: 0.3673
Epoch 223/1500
22/22 [==============================] - 0s 5ms/step - loss: 1.5547 - accuracy: 0.4056 - val_loss: 1.7815 - val_accuracy: 0.2886
Epoch 224/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.6266 - accuracy: 0.3407 - val_loss: 1.6223 - val_accuracy: 0.3557
Epoch 225/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.5461 - accuracy: 0.4019 - val_loss: 1.5389 - val_accuracy: 0.3994
Epoch 226/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.5517 - accuracy: 0.4031 - val_loss: 1.5711 - val_accuracy: 0.4111
Epoch 227/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.4758 - accuracy: 0.4313 - val_loss: 1.9032 - val_accuracy: 0.2857
Epoch 228/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.6225 - accuracy: 0.3551 - val_loss: 1.5765 - val_accuracy: 0.4257
Epoch 229/1500
22/22 [==============================] - 0s 5ms/step - loss: 1.7076 - accuracy: 0.3333 - val_loss: 1.6212 - val_accuracy: 0.3703
Epoch 230/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.5088 - accuracy: 0.4039 - val_loss: 1.5643 - val_accuracy: 0.3790
Epoch 231/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.4656 - accuracy: 0.4350 - val_loss: 1.7108 - val_accuracy: 0.3703
Epoch 232/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.5425 - accuracy: 0.4051 - val_loss: 1.6012 - val_accuracy: 0.3994
Epoch 233/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.4873 - accuracy: 0.4291 - val_loss: 1.5085 - val_accuracy: 0.4111
Epoch 234/1500
22/22 [==============================] - 0s 5ms/step - loss: 1.4869 - accuracy: 0.4507 - val_loss: 1.4891 - val_accuracy: 0.3907
Epoch 235/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.4856 - accuracy: 0.4282 - val_loss: 1.4964 - val_accuracy: 0.4286
Epoch 236/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.4769 - accuracy: 0.4339 - val_loss: 1.7152 - val_accuracy: 0.3644
Epoch 237/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.5779 - accuracy: 0.3851 - val_loss: 1.6317 - val_accuracy: 0.3819
Epoch 238/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.4759 - accuracy: 0.4156 - val_loss: 1.5975 - val_accuracy: 0.3673
Epoch 239/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.5231 - accuracy: 0.4023 - val_loss: 1.6291 - val_accuracy: 0.3673
Epoch 240/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.5009 - accuracy: 0.4316 - val_loss: 1.6145 - val_accuracy: 0.3790
Epoch 241/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.4840 - accuracy: 0.4167 - val_loss: 1.5268 - val_accuracy: 0.4344
Epoch 242/1500
22/22 [==============================] - 0s 5ms/step - loss: 1.4772 - accuracy: 0.4233 - val_loss: 1.5500 - val_accuracy: 0.4402
Epoch 243/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.4259 - accuracy: 0.4475 - val_loss: 1.5825 - val_accuracy: 0.4023
Epoch 244/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.4112 - accuracy: 0.4507 - val_loss: 1.5758 - val_accuracy: 0.3907
Epoch 245/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.4695 - accuracy: 0.4452 - val_loss: 1.5738 - val_accuracy: 0.4023
Epoch 246/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.4665 - accuracy: 0.4428 - val_loss: 1.6307 - val_accuracy: 0.3324
Epoch 247/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.4519 - accuracy: 0.4388 - val_loss: 1.5502 - val_accuracy: 0.3819
Epoch 248/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.4605 - accuracy: 0.4311 - val_loss: 1.5522 - val_accuracy: 0.4052
Epoch 249/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.4928 - accuracy: 0.4018 - val_loss: 1.4197 - val_accuracy: 0.4548
Epoch 250/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.4710 - accuracy: 0.4190 - val_loss: 1.4252 - val_accuracy: 0.4344
Epoch 251/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.4190 - accuracy: 0.4371 - val_loss: 1.6756 - val_accuracy: 0.3761
Epoch 252/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.4345 - accuracy: 0.4523 - val_loss: 1.5192 - val_accuracy: 0.4373
Epoch 253/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.4428 - accuracy: 0.4391 - val_loss: 1.5230 - val_accuracy: 0.4052
Epoch 254/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.4117 - accuracy: 0.4414 - val_loss: 1.7187 - val_accuracy: 0.3265
Epoch 255/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.7909 - accuracy: 0.3112 - val_loss: 1.8324 - val_accuracy: 0.3236
Epoch 256/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.8204 - accuracy: 0.3039 - val_loss: 1.6465 - val_accuracy: 0.3761
Epoch 257/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.5741 - accuracy: 0.3542 - val_loss: 1.5018 - val_accuracy: 0.3936
Epoch 258/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.5317 - accuracy: 0.4176 - val_loss: 1.4857 - val_accuracy: 0.3936
Epoch 259/1500
22/22 [==============================] - 0s 5ms/step - loss: 1.4799 - accuracy: 0.4183 - val_loss: 1.5153 - val_accuracy: 0.4023
Epoch 260/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.4578 - accuracy: 0.4074 - val_loss: 1.6104 - val_accuracy: 0.3965
Epoch 261/1500
22/22 [==============================] - 0s 6ms/step - loss: 1.4573 - accuracy: 0.4297 - val_loss: 1.8769 - val_accuracy: 0.2886
Epoch 262/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.5917 - accuracy: 0.3871 - val_loss: 1.7001 - val_accuracy: 0.3440
Epoch 263/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.5043 - accuracy: 0.4157 - val_loss: 1.4671 - val_accuracy: 0.3936
Epoch 264/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.4584 - accuracy: 0.4300 - val_loss: 1.6532 - val_accuracy: 0.3994
Epoch 265/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.4155 - accuracy: 0.4460 - val_loss: 1.5882 - val_accuracy: 0.3965
Epoch 266/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.4821 - accuracy: 0.4158 - val_loss: 1.4479 - val_accuracy: 0.3936
Epoch 267/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.4369 - accuracy: 0.4379 - val_loss: 1.4294 - val_accuracy: 0.4431
Epoch 268/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.4053 - accuracy: 0.4578 - val_loss: 1.4675 - val_accuracy: 0.4140
Epoch 269/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.3993 - accuracy: 0.4632 - val_loss: 1.4753 - val_accuracy: 0.3965
Epoch 270/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.4870 - accuracy: 0.4146 - val_loss: 1.6540 - val_accuracy: 0.3644
Epoch 271/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.5107 - accuracy: 0.3932 - val_loss: 1.4372 - val_accuracy: 0.4519
Epoch 272/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.3251 - accuracy: 0.4777 - val_loss: 1.4294 - val_accuracy: 0.4373
Epoch 273/1500
22/22 [==============================] - 0s 5ms/step - loss: 1.4562 - accuracy: 0.4385 - val_loss: 1.3922 - val_accuracy: 0.4577
Epoch 274/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.3959 - accuracy: 0.4439 - val_loss: 1.4579 - val_accuracy: 0.4111
Epoch 275/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.4860 - accuracy: 0.4356 - val_loss: 1.5072 - val_accuracy: 0.4665
Epoch 276/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.4178 - accuracy: 0.4490 - val_loss: 1.4129 - val_accuracy: 0.4373
Epoch 277/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.3955 - accuracy: 0.4522 - val_loss: 1.5848 - val_accuracy: 0.3907
Epoch 278/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.4487 - accuracy: 0.4464 - val_loss: 1.4290 - val_accuracy: 0.4169
Epoch 279/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.3977 - accuracy: 0.4485 - val_loss: 1.4663 - val_accuracy: 0.4373
Epoch 280/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.4067 - accuracy: 0.4564 - val_loss: 1.4639 - val_accuracy: 0.4490
Epoch 281/1500
22/22 [==============================] - 0s 6ms/step - loss: 1.4951 - accuracy: 0.4305 - val_loss: 1.4149 - val_accuracy: 0.3878
Epoch 282/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.4002 - accuracy: 0.4525 - val_loss: 1.4616 - val_accuracy: 0.4344
Epoch 283/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.4044 - accuracy: 0.4504 - val_loss: 1.4692 - val_accuracy: 0.4052
Epoch 284/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.4624 - accuracy: 0.4395 - val_loss: 1.3862 - val_accuracy: 0.4606
Epoch 285/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.3915 - accuracy: 0.4572 - val_loss: 1.4175 - val_accuracy: 0.4927
Epoch 286/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.3471 - accuracy: 0.4598 - val_loss: 1.4388 - val_accuracy: 0.4257
Epoch 287/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.4301 - accuracy: 0.4397 - val_loss: 1.7185 - val_accuracy: 0.3120
Epoch 288/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.5817 - accuracy: 0.3836 - val_loss: 2.0644 - val_accuracy: 0.3120
Epoch 289/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.5392 - accuracy: 0.3981 - val_loss: 1.5504 - val_accuracy: 0.3965
Epoch 290/1500
22/22 [==============================] - 0s 5ms/step - loss: 1.4955 - accuracy: 0.4244 - val_loss: 1.4468 - val_accuracy: 0.4198
Epoch 291/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.3192 - accuracy: 0.4827 - val_loss: 1.4026 - val_accuracy: 0.4431
Epoch 292/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.3432 - accuracy: 0.4908 - val_loss: 1.6077 - val_accuracy: 0.4052
Epoch 293/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.3508 - accuracy: 0.4625 - val_loss: 1.4152 - val_accuracy: 0.4461
Epoch 294/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.3620 - accuracy: 0.4554 - val_loss: 1.3777 - val_accuracy: 0.4956
Epoch 295/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.3229 - accuracy: 0.4844 - val_loss: 1.4630 - val_accuracy: 0.4257
Epoch 296/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.3841 - accuracy: 0.4515 - val_loss: 1.5108 - val_accuracy: 0.4140
Epoch 297/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.3102 - accuracy: 0.5050 - val_loss: 1.4218 - val_accuracy: 0.4344
Epoch 298/1500
22/22 [==============================] - 0s 18ms/step - loss: 1.5218 - accuracy: 0.3920 - val_loss: 1.5673 - val_accuracy: 0.3907
Epoch 299/1500
22/22 [==============================] - 0s 6ms/step - loss: 1.6344 - accuracy: 0.3503 - val_loss: 1.5119 - val_accuracy: 0.4198
Epoch 300/1500
22/22 [==============================] - 0s 6ms/step - loss: 1.4637 - accuracy: 0.4183 - val_loss: 1.4851 - val_accuracy: 0.4694
Epoch 301/1500
22/22 [==============================] - 0s 6ms/step - loss: 1.2651 - accuracy: 0.4949 - val_loss: 1.3893 - val_accuracy: 0.4636
Epoch 302/1500
22/22 [==============================] - 0s 6ms/step - loss: 1.3565 - accuracy: 0.4608 - val_loss: 1.4712 - val_accuracy: 0.4111
Epoch 303/1500
22/22 [==============================] - 0s 5ms/step - loss: 1.4589 - accuracy: 0.4076 - val_loss: 1.4198 - val_accuracy: 0.4519
Epoch 304/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.4189 - accuracy: 0.4353 - val_loss: 1.4670 - val_accuracy: 0.4198
Epoch 305/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.3380 - accuracy: 0.4698 - val_loss: 1.3630 - val_accuracy: 0.4810
Epoch 306/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.2798 - accuracy: 0.4991 - val_loss: 1.3989 - val_accuracy: 0.4636
Epoch 307/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.3582 - accuracy: 0.4604 - val_loss: 1.4801 - val_accuracy: 0.4344
Epoch 308/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.5228 - accuracy: 0.4417 - val_loss: 1.8395 - val_accuracy: 0.3499
Epoch 309/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.5152 - accuracy: 0.4157 - val_loss: 1.5400 - val_accuracy: 0.4052
Epoch 310/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.5037 - accuracy: 0.4014 - val_loss: 1.4643 - val_accuracy: 0.4257
Epoch 311/1500
22/22 [==============================] - 0s 5ms/step - loss: 1.3374 - accuracy: 0.4826 - val_loss: 1.6908 - val_accuracy: 0.4286
Epoch 312/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.3996 - accuracy: 0.4491 - val_loss: 1.6342 - val_accuracy: 0.3673
Epoch 313/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.5587 - accuracy: 0.3910 - val_loss: 1.5937 - val_accuracy: 0.3965
Epoch 314/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.4121 - accuracy: 0.4402 - val_loss: 1.3355 - val_accuracy: 0.4606
Epoch 315/1500
22/22 [==============================] - 0s 8ms/step - loss: 1.3257 - accuracy: 0.4811 - val_loss: 1.4142 - val_accuracy: 0.4461
Epoch 316/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.2715 - accuracy: 0.5102 - val_loss: 1.3495 - val_accuracy: 0.4606
Epoch 317/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.2815 - accuracy: 0.5040 - val_loss: 1.3733 - val_accuracy: 0.4694
Epoch 318/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.2437 - accuracy: 0.4914 - val_loss: 1.4964 - val_accuracy: 0.4111
Epoch 319/1500
22/22 [==============================] - 0s 5ms/step - loss: 1.2940 - accuracy: 0.4749 - val_loss: 1.9467 - val_accuracy: 0.3382
Epoch 320/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.5956 - accuracy: 0.3730 - val_loss: 1.5657 - val_accuracy: 0.3615
Epoch 321/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.4889 - accuracy: 0.4062 - val_loss: 1.3763 - val_accuracy: 0.4402
Epoch 322/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.2883 - accuracy: 0.4966 - val_loss: 1.5386 - val_accuracy: 0.4111
Epoch 323/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.2700 - accuracy: 0.5057 - val_loss: 1.5056 - val_accuracy: 0.4286
Epoch 324/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.3187 - accuracy: 0.4892 - val_loss: 1.4190 - val_accuracy: 0.4082
Epoch 325/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.3054 - accuracy: 0.4813 - val_loss: 1.5941 - val_accuracy: 0.4169
Epoch 326/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.4039 - accuracy: 0.4547 - val_loss: 1.3749 - val_accuracy: 0.4577
Epoch 327/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.3002 - accuracy: 0.4714 - val_loss: 1.3803 - val_accuracy: 0.4431
Epoch 328/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.2277 - accuracy: 0.5172 - val_loss: 1.4193 - val_accuracy: 0.4636
Epoch 329/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.2726 - accuracy: 0.5156 - val_loss: 1.3968 - val_accuracy: 0.4344
Epoch 330/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.3590 - accuracy: 0.4775 - val_loss: 1.6328 - val_accuracy: 0.4169
Epoch 331/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.5579 - accuracy: 0.4148 - val_loss: 1.3905 - val_accuracy: 0.4723
Epoch 332/1500
22/22 [==============================] - 0s 5ms/step - loss: 1.3824 - accuracy: 0.4634 - val_loss: 1.3575 - val_accuracy: 0.4869
Epoch 333/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.2251 - accuracy: 0.5450 - val_loss: 1.4593 - val_accuracy: 0.4490
Epoch 334/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.2599 - accuracy: 0.4964 - val_loss: 1.4087 - val_accuracy: 0.4694
Epoch 335/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.2675 - accuracy: 0.4829 - val_loss: 1.4949 - val_accuracy: 0.3936
Epoch 336/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.3103 - accuracy: 0.4907 - val_loss: 1.5405 - val_accuracy: 0.4490
Epoch 337/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.3416 - accuracy: 0.4733 - val_loss: 1.3371 - val_accuracy: 0.4490
Epoch 338/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.2113 - accuracy: 0.5212 - val_loss: 1.5634 - val_accuracy: 0.4431
Epoch 339/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.2688 - accuracy: 0.5047 - val_loss: 1.4105 - val_accuracy: 0.4286
Epoch 340/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.3330 - accuracy: 0.4851 - val_loss: 1.5629 - val_accuracy: 0.4286
Epoch 341/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.3030 - accuracy: 0.4908 - val_loss: 1.3853 - val_accuracy: 0.4315
Epoch 342/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.2259 - accuracy: 0.5024 - val_loss: 1.4686 - val_accuracy: 0.4286
Epoch 343/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.2006 - accuracy: 0.5258 - val_loss: 1.3935 - val_accuracy: 0.4461
Epoch 344/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.2669 - accuracy: 0.5008 - val_loss: 1.3714 - val_accuracy: 0.4606
Epoch 345/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.2853 - accuracy: 0.5130 - val_loss: 1.4394 - val_accuracy: 0.4665
Epoch 346/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.2499 - accuracy: 0.4931 - val_loss: 1.3386 - val_accuracy: 0.4694
Epoch 347/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.2359 - accuracy: 0.5211 - val_loss: 1.4451 - val_accuracy: 0.4548
Epoch 348/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.2853 - accuracy: 0.4786 - val_loss: 1.3774 - val_accuracy: 0.4723
Epoch 349/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.1491 - accuracy: 0.5808 - val_loss: 1.3013 - val_accuracy: 0.4752
Epoch 350/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.1781 - accuracy: 0.5176 - val_loss: 1.3229 - val_accuracy: 0.4810
Epoch 351/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.1907 - accuracy: 0.5292 - val_loss: 1.4122 - val_accuracy: 0.4373
Epoch 352/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.2913 - accuracy: 0.5019 - val_loss: 1.4067 - val_accuracy: 0.4490
Epoch 353/1500
22/22 [==============================] - 0s 5ms/step - loss: 1.3332 - accuracy: 0.5111 - val_loss: 1.5119 - val_accuracy: 0.4315
Epoch 354/1500
22/22 [==============================] - 0s 6ms/step - loss: 1.2248 - accuracy: 0.5247 - val_loss: 1.3240 - val_accuracy: 0.4606
Epoch 355/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.2348 - accuracy: 0.5148 - val_loss: 1.4719 - val_accuracy: 0.4344
Epoch 356/1500
22/22 [==============================] - 0s 5ms/step - loss: 1.2628 - accuracy: 0.5125 - val_loss: 1.3663 - val_accuracy: 0.4636
Epoch 357/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.2665 - accuracy: 0.5244 - val_loss: 1.3541 - val_accuracy: 0.4927
Epoch 358/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.2273 - accuracy: 0.5393 - val_loss: 1.4609 - val_accuracy: 0.4315
Epoch 359/1500
22/22 [==============================] - 0s 5ms/step - loss: 1.2027 - accuracy: 0.5437 - val_loss: 1.3904 - val_accuracy: 0.4315
Epoch 360/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.2164 - accuracy: 0.5279 - val_loss: 1.5542 - val_accuracy: 0.4461
Epoch 361/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.2936 - accuracy: 0.4917 - val_loss: 1.3167 - val_accuracy: 0.5335
Epoch 362/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.2117 - accuracy: 0.5127 - val_loss: 1.3763 - val_accuracy: 0.4781
Epoch 363/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.1588 - accuracy: 0.5505 - val_loss: 1.4004 - val_accuracy: 0.4694
Epoch 364/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.2683 - accuracy: 0.5148 - val_loss: 1.5594 - val_accuracy: 0.4023
Epoch 365/1500
22/22 [==============================] - 0s 5ms/step - loss: 1.2389 - accuracy: 0.5271 - val_loss: 1.6049 - val_accuracy: 0.4402
Epoch 366/1500
22/22 [==============================] - 0s 5ms/step - loss: 1.1553 - accuracy: 0.5566 - val_loss: 1.2718 - val_accuracy: 0.5219
Epoch 367/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.1841 - accuracy: 0.5301 - val_loss: 1.4123 - val_accuracy: 0.4140
Epoch 368/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.2567 - accuracy: 0.4917 - val_loss: 1.3716 - val_accuracy: 0.4956
Epoch 369/1500
22/22 [==============================] - 0s 7ms/step - loss: 1.2121 - accuracy: 0.5313 - val_loss: 1.3227 - val_accuracy: 0.5190
Epoch 370/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.1841 - accuracy: 0.5471 - val_loss: 1.4586 - val_accuracy: 0.4606
Epoch 371/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.2439 - accuracy: 0.5015 - val_loss: 1.6215 - val_accuracy: 0.4344
Epoch 372/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.2859 - accuracy: 0.4869 - val_loss: 1.4940 - val_accuracy: 0.4431
Epoch 373/1500
22/22 [==============================] - 0s 5ms/step - loss: 1.2298 - accuracy: 0.5210 - val_loss: 1.4624 - val_accuracy: 0.4286
Epoch 374/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.2183 - accuracy: 0.5103 - val_loss: 1.9459 - val_accuracy: 0.3411
Epoch 375/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.4058 - accuracy: 0.4752 - val_loss: 1.3435 - val_accuracy: 0.4723
Epoch 376/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.1794 - accuracy: 0.5280 - val_loss: 1.5762 - val_accuracy: 0.3994
Epoch 377/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.2129 - accuracy: 0.5334 - val_loss: 1.3722 - val_accuracy: 0.4431
Epoch 378/1500
22/22 [==============================] - 0s 5ms/step - loss: 1.2305 - accuracy: 0.5164 - val_loss: 1.3952 - val_accuracy: 0.4548
Epoch 379/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.2711 - accuracy: 0.4793 - val_loss: 1.9291 - val_accuracy: 0.3673
Epoch 380/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.4205 - accuracy: 0.4571 - val_loss: 1.3558 - val_accuracy: 0.4548
Epoch 381/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.2846 - accuracy: 0.4985 - val_loss: 1.3792 - val_accuracy: 0.4402
Epoch 382/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.1982 - accuracy: 0.5328 - val_loss: 1.3115 - val_accuracy: 0.4752
Epoch 383/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.1224 - accuracy: 0.5615 - val_loss: 1.2744 - val_accuracy: 0.4898
Epoch 384/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.1137 - accuracy: 0.5843 - val_loss: 1.3284 - val_accuracy: 0.4548
Epoch 385/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.0840 - accuracy: 0.5854 - val_loss: 1.2985 - val_accuracy: 0.4985
Epoch 386/1500
22/22 [==============================] - 0s 5ms/step - loss: 1.1401 - accuracy: 0.5528 - val_loss: 1.3026 - val_accuracy: 0.4840
Epoch 387/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.1091 - accuracy: 0.5499 - val_loss: 1.3011 - val_accuracy: 0.5102
Epoch 388/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.1971 - accuracy: 0.5135 - val_loss: 1.3407 - val_accuracy: 0.4665
Epoch 389/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.1690 - accuracy: 0.5580 - val_loss: 2.3143 - val_accuracy: 0.3703
Epoch 390/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.4809 - accuracy: 0.4698 - val_loss: 1.5149 - val_accuracy: 0.4198
Epoch 391/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.2474 - accuracy: 0.5077 - val_loss: 1.2884 - val_accuracy: 0.4985
Epoch 392/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.1582 - accuracy: 0.5700 - val_loss: 1.2931 - val_accuracy: 0.5102
Epoch 393/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.1457 - accuracy: 0.5497 - val_loss: 1.3371 - val_accuracy: 0.5015
Epoch 394/1500
22/22 [==============================] - 0s 5ms/step - loss: 1.0931 - accuracy: 0.5837 - val_loss: 1.6070 - val_accuracy: 0.4227
Epoch 395/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.3392 - accuracy: 0.4948 - val_loss: 1.3338 - val_accuracy: 0.4548
Epoch 396/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.1826 - accuracy: 0.5258 - val_loss: 1.4487 - val_accuracy: 0.4373
Epoch 397/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.1708 - accuracy: 0.5129 - val_loss: 1.2967 - val_accuracy: 0.4956
Epoch 398/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.1042 - accuracy: 0.5510 - val_loss: 1.3590 - val_accuracy: 0.4752
Epoch 399/1500
22/22 [==============================] - 0s 6ms/step - loss: 1.1228 - accuracy: 0.5547 - val_loss: 1.4810 - val_accuracy: 0.4402
Epoch 400/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.1646 - accuracy: 0.5432 - val_loss: 1.7414 - val_accuracy: 0.3936
Epoch 401/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.3324 - accuracy: 0.4796 - val_loss: 1.3556 - val_accuracy: 0.4694
Epoch 402/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.1981 - accuracy: 0.5221 - val_loss: 1.3785 - val_accuracy: 0.4985
Epoch 403/1500
22/22 [==============================] - 0s 9ms/step - loss: 1.1712 - accuracy: 0.5123 - val_loss: 1.5402 - val_accuracy: 0.4023
Epoch 404/1500
22/22 [==============================] - 0s 16ms/step - loss: 1.2337 - accuracy: 0.5382 - val_loss: 1.3801 - val_accuracy: 0.4636
Epoch 405/1500
22/22 [==============================] - 0s 6ms/step - loss: 1.1450 - accuracy: 0.5520 - val_loss: 1.3006 - val_accuracy: 0.4956
Epoch 406/1500
22/22 [==============================] - 0s 6ms/step - loss: 1.1023 - accuracy: 0.5724 - val_loss: 1.4421 - val_accuracy: 0.4577
Epoch 407/1500
22/22 [==============================] - 0s 5ms/step - loss: 1.1446 - accuracy: 0.5418 - val_loss: 1.4343 - val_accuracy: 0.4577
Epoch 408/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.2951 - accuracy: 0.5065 - val_loss: 1.4422 - val_accuracy: 0.4548
Epoch 409/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.1397 - accuracy: 0.5538 - val_loss: 1.3850 - val_accuracy: 0.4636
Epoch 410/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.1261 - accuracy: 0.5515 - val_loss: 1.5773 - val_accuracy: 0.4315
Epoch 411/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.1138 - accuracy: 0.5635 - val_loss: 1.7658 - val_accuracy: 0.4140
Epoch 412/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.2991 - accuracy: 0.5090 - val_loss: 1.5689 - val_accuracy: 0.4111
Epoch 413/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.2043 - accuracy: 0.5332 - val_loss: 1.4535 - val_accuracy: 0.4694
Epoch 414/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.1335 - accuracy: 0.5645 - val_loss: 1.5352 - val_accuracy: 0.4373
Epoch 415/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.3194 - accuracy: 0.5114 - val_loss: 1.3885 - val_accuracy: 0.4781
Epoch 416/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.1550 - accuracy: 0.5510 - val_loss: 1.3177 - val_accuracy: 0.5073
Epoch 417/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.0783 - accuracy: 0.5868 - val_loss: 1.2485 - val_accuracy: 0.4927
Epoch 418/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.1029 - accuracy: 0.5750 - val_loss: 1.3411 - val_accuracy: 0.4636
Epoch 419/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.0792 - accuracy: 0.5782 - val_loss: 1.2501 - val_accuracy: 0.5160
Epoch 420/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.0305 - accuracy: 0.6021 - val_loss: 1.3330 - val_accuracy: 0.4956
Epoch 421/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.0356 - accuracy: 0.5948 - val_loss: 1.3847 - val_accuracy: 0.4898
Epoch 422/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.0755 - accuracy: 0.5944 - val_loss: 1.2942 - val_accuracy: 0.5073
Epoch 423/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.2062 - accuracy: 0.5269 - val_loss: 1.2981 - val_accuracy: 0.5015
Epoch 424/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.0732 - accuracy: 0.5767 - val_loss: 1.3399 - val_accuracy: 0.4665
Epoch 425/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.0811 - accuracy: 0.5950 - val_loss: 1.4562 - val_accuracy: 0.4636
Epoch 426/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.2387 - accuracy: 0.5258 - val_loss: 1.5680 - val_accuracy: 0.4431
Epoch 427/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.1596 - accuracy: 0.5406 - val_loss: 1.3755 - val_accuracy: 0.4898
Epoch 428/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.1513 - accuracy: 0.5435 - val_loss: 1.4876 - val_accuracy: 0.4548
Epoch 429/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.1380 - accuracy: 0.5264 - val_loss: 1.3348 - val_accuracy: 0.4840
Epoch 430/1500
22/22 [==============================] - 0s 6ms/step - loss: 1.0868 - accuracy: 0.5717 - val_loss: 1.5279 - val_accuracy: 0.4461
Epoch 431/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.1853 - accuracy: 0.5381 - val_loss: 1.5614 - val_accuracy: 0.4431
Epoch 432/1500
22/22 [==============================] - 0s 5ms/step - loss: 1.2271 - accuracy: 0.5333 - val_loss: 1.2789 - val_accuracy: 0.5131
Epoch 433/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.0900 - accuracy: 0.5873 - val_loss: 1.2471 - val_accuracy: 0.5102
Epoch 434/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.0821 - accuracy: 0.5789 - val_loss: 1.3549 - val_accuracy: 0.4781
Epoch 435/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.0806 - accuracy: 0.5783 - val_loss: 1.2726 - val_accuracy: 0.5248
Epoch 436/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.0706 - accuracy: 0.5887 - val_loss: 1.2688 - val_accuracy: 0.5190
Epoch 437/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.0162 - accuracy: 0.5998 - val_loss: 1.2557 - val_accuracy: 0.5423
Epoch 438/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.0442 - accuracy: 0.5862 - val_loss: 1.2223 - val_accuracy: 0.5423
Epoch 439/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.0270 - accuracy: 0.6037 - val_loss: 1.2835 - val_accuracy: 0.4985
Epoch 440/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.9739 - accuracy: 0.6231 - val_loss: 1.3641 - val_accuracy: 0.5248
Epoch 441/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.0537 - accuracy: 0.5713 - val_loss: 1.7491 - val_accuracy: 0.4665
Epoch 442/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.1312 - accuracy: 0.5599 - val_loss: 1.8328 - val_accuracy: 0.4111
Epoch 443/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.3408 - accuracy: 0.5014 - val_loss: 1.3432 - val_accuracy: 0.4694
Epoch 444/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.0722 - accuracy: 0.5892 - val_loss: 1.3547 - val_accuracy: 0.4840
Epoch 445/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.0534 - accuracy: 0.5636 - val_loss: 1.3234 - val_accuracy: 0.4694
Epoch 446/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.1217 - accuracy: 0.5724 - val_loss: 1.4138 - val_accuracy: 0.4840
Epoch 447/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.0111 - accuracy: 0.5973 - val_loss: 1.2356 - val_accuracy: 0.5044
Epoch 448/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.0310 - accuracy: 0.6019 - val_loss: 1.2964 - val_accuracy: 0.5248
Epoch 449/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.0693 - accuracy: 0.6016 - val_loss: 1.2948 - val_accuracy: 0.5015
Epoch 450/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.0706 - accuracy: 0.5905 - val_loss: 1.2970 - val_accuracy: 0.5073
Epoch 451/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.0231 - accuracy: 0.5850 - val_loss: 1.2811 - val_accuracy: 0.5190
Epoch 452/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.0153 - accuracy: 0.6130 - val_loss: 1.5068 - val_accuracy: 0.4577
Epoch 453/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.4474 - accuracy: 0.4564 - val_loss: 1.4437 - val_accuracy: 0.4752
Epoch 454/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.3738 - accuracy: 0.4815 - val_loss: 1.4058 - val_accuracy: 0.4927
Epoch 455/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.1615 - accuracy: 0.5424 - val_loss: 1.3794 - val_accuracy: 0.4665
Epoch 456/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.1071 - accuracy: 0.5608 - val_loss: 1.3321 - val_accuracy: 0.5102
Epoch 457/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.1316 - accuracy: 0.5614 - val_loss: 1.2996 - val_accuracy: 0.4956
Epoch 458/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.0223 - accuracy: 0.5900 - val_loss: 1.3127 - val_accuracy: 0.5248
Epoch 459/1500
22/22 [==============================] - 0s 8ms/step - loss: 0.9783 - accuracy: 0.5961 - val_loss: 1.3575 - val_accuracy: 0.5102
Epoch 460/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.0518 - accuracy: 0.5843 - val_loss: 1.3125 - val_accuracy: 0.4927
Epoch 461/1500
22/22 [==============================] - 0s 5ms/step - loss: 0.9727 - accuracy: 0.5912 - val_loss: 1.2904 - val_accuracy: 0.5277
Epoch 462/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.0262 - accuracy: 0.5913 - val_loss: 1.2518 - val_accuracy: 0.5277
Epoch 463/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.1035 - accuracy: 0.5739 - val_loss: 1.5231 - val_accuracy: 0.4548
Epoch 464/1500
22/22 [==============================] - 0s 5ms/step - loss: 1.1021 - accuracy: 0.5636 - val_loss: 1.7642 - val_accuracy: 0.4082
Epoch 465/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.3037 - accuracy: 0.5123 - val_loss: 1.5379 - val_accuracy: 0.4373
Epoch 466/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.2377 - accuracy: 0.5223 - val_loss: 2.1893 - val_accuracy: 0.3469
Epoch 467/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.5097 - accuracy: 0.4426 - val_loss: 1.6678 - val_accuracy: 0.4082
Epoch 468/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.3164 - accuracy: 0.4861 - val_loss: 1.3017 - val_accuracy: 0.4956
Epoch 469/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.1039 - accuracy: 0.5695 - val_loss: 1.3695 - val_accuracy: 0.4752
Epoch 470/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.1225 - accuracy: 0.5438 - val_loss: 1.3847 - val_accuracy: 0.5335
Epoch 471/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.0860 - accuracy: 0.5803 - val_loss: 1.4317 - val_accuracy: 0.4490
Epoch 472/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.1011 - accuracy: 0.5706 - val_loss: 1.3225 - val_accuracy: 0.5073
Epoch 473/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.0444 - accuracy: 0.5909 - val_loss: 1.2071 - val_accuracy: 0.5219
Epoch 474/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.9600 - accuracy: 0.6097 - val_loss: 1.3288 - val_accuracy: 0.5044
Epoch 475/1500
22/22 [==============================] - ETA: 0s - loss: 0.9864 - accuracy: 0.59 - 0s 4ms/step - loss: 1.0107 - accuracy: 0.5926 - val_loss: 1.3748 - val_accuracy: 0.4723
Epoch 476/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.0308 - accuracy: 0.6058 - val_loss: 1.3648 - val_accuracy: 0.5073
Epoch 477/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.0199 - accuracy: 0.5911 - val_loss: 1.3279 - val_accuracy: 0.5015
Epoch 478/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.1160 - accuracy: 0.5631 - val_loss: 1.2822 - val_accuracy: 0.5219
Epoch 479/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.9486 - accuracy: 0.6155 - val_loss: 1.2198 - val_accuracy: 0.5248
Epoch 480/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.0878 - accuracy: 0.5757 - val_loss: 1.5026 - val_accuracy: 0.4985
Epoch 481/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.0939 - accuracy: 0.5740 - val_loss: 1.2325 - val_accuracy: 0.5248
Epoch 482/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.0075 - accuracy: 0.5958 - val_loss: 1.3088 - val_accuracy: 0.4985
Epoch 483/1500
22/22 [==============================] - 0s 5ms/step - loss: 1.0009 - accuracy: 0.5978 - val_loss: 1.3012 - val_accuracy: 0.5131
Epoch 484/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.0902 - accuracy: 0.5499 - val_loss: 1.4957 - val_accuracy: 0.4548
Epoch 485/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.1944 - accuracy: 0.4918 - val_loss: 1.4322 - val_accuracy: 0.5015
Epoch 486/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.1608 - accuracy: 0.5399 - val_loss: 1.2474 - val_accuracy: 0.5102
Epoch 487/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.1060 - accuracy: 0.5350 - val_loss: 1.2650 - val_accuracy: 0.5335
Epoch 488/1500
22/22 [==============================] - 0s 7ms/step - loss: 1.0436 - accuracy: 0.5827 - val_loss: 1.4217 - val_accuracy: 0.4810
Epoch 489/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.1242 - accuracy: 0.5521 - val_loss: 1.3043 - val_accuracy: 0.5190
Epoch 490/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.0015 - accuracy: 0.6130 - val_loss: 1.3122 - val_accuracy: 0.5248
Epoch 491/1500
22/22 [==============================] - 0s 4ms/step - loss: 0.9999 - accuracy: 0.5835 - val_loss: 1.2812 - val_accuracy: 0.5190
Epoch 492/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.9844 - accuracy: 0.6174 - val_loss: 1.3270 - val_accuracy: 0.5102
Epoch 493/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.9895 - accuracy: 0.6047 - val_loss: 1.2975 - val_accuracy: 0.5277
Epoch 494/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.9815 - accuracy: 0.6183 - val_loss: 1.3938 - val_accuracy: 0.4985
Epoch 495/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.9282 - accuracy: 0.6427 - val_loss: 1.2440 - val_accuracy: 0.5277
Epoch 496/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.0306 - accuracy: 0.6021 - val_loss: 1.4493 - val_accuracy: 0.4665
Epoch 497/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.2094 - accuracy: 0.5192 - val_loss: 1.2552 - val_accuracy: 0.5131
Epoch 498/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.0690 - accuracy: 0.5784 - val_loss: 1.2958 - val_accuracy: 0.4985
Epoch 499/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.0992 - accuracy: 0.5591 - val_loss: 1.2950 - val_accuracy: 0.5248
Epoch 500/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.0018 - accuracy: 0.5946 - val_loss: 1.4787 - val_accuracy: 0.4869
Epoch 501/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.0562 - accuracy: 0.5842 - val_loss: 1.2751 - val_accuracy: 0.5160
Epoch 502/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.9968 - accuracy: 0.6198 - val_loss: 1.3077 - val_accuracy: 0.4869
Epoch 503/1500
22/22 [==============================] - 0s 4ms/step - loss: 0.9429 - accuracy: 0.6236 - val_loss: 1.2712 - val_accuracy: 0.5452
Epoch 504/1500
22/22 [==============================] - 0s 4ms/step - loss: 0.9668 - accuracy: 0.6178 - val_loss: 1.2691 - val_accuracy: 0.5248
Epoch 505/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.0330 - accuracy: 0.5745 - val_loss: 1.3526 - val_accuracy: 0.5569
Epoch 506/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.9763 - accuracy: 0.6156 - val_loss: 1.4053 - val_accuracy: 0.4985
Epoch 507/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.9864 - accuracy: 0.6138 - val_loss: 1.3674 - val_accuracy: 0.4665
Epoch 508/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.0670 - accuracy: 0.5634 - val_loss: 1.2453 - val_accuracy: 0.5539
Epoch 509/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.9780 - accuracy: 0.6083 - val_loss: 1.3403 - val_accuracy: 0.5102
Epoch 510/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.9698 - accuracy: 0.6123 - val_loss: 1.4119 - val_accuracy: 0.4869
Epoch 511/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.0677 - accuracy: 0.5878 - val_loss: 1.4346 - val_accuracy: 0.4752
Epoch 512/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.9161 - accuracy: 0.6458 - val_loss: 1.3514 - val_accuracy: 0.5160
Epoch 513/1500
22/22 [==============================] - 0s 4ms/step - loss: 0.9867 - accuracy: 0.6216 - val_loss: 1.3144 - val_accuracy: 0.4985
Epoch 514/1500
22/22 [==============================] - 0s 5ms/step - loss: 0.8965 - accuracy: 0.6545 - val_loss: 1.2948 - val_accuracy: 0.5364
Epoch 515/1500
22/22 [==============================] - 0s 5ms/step - loss: 0.9516 - accuracy: 0.6258 - val_loss: 1.4456 - val_accuracy: 0.4665
Epoch 516/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.9673 - accuracy: 0.6160 - val_loss: 1.2755 - val_accuracy: 0.5394
Epoch 517/1500
22/22 [==============================] - 0s 13ms/step - loss: 0.9228 - accuracy: 0.6290 - val_loss: 1.3632 - val_accuracy: 0.5277
Epoch 518/1500
22/22 [==============================] - 0s 6ms/step - loss: 0.9974 - accuracy: 0.5996 - val_loss: 1.5946 - val_accuracy: 0.4315
Epoch 519/1500
22/22 [==============================] - 0s 17ms/step - loss: 1.1240 - accuracy: 0.5763 - val_loss: 1.5307 - val_accuracy: 0.4781
Epoch 520/1500
22/22 [==============================] - 0s 8ms/step - loss: 0.9998 - accuracy: 0.6270 - val_loss: 1.2304 - val_accuracy: 0.5539
Epoch 521/1500
22/22 [==============================] - 0s 5ms/step - loss: 0.9063 - accuracy: 0.6443 - val_loss: 1.3631 - val_accuracy: 0.5364
Epoch 522/1500
22/22 [==============================] - 0s 5ms/step - loss: 0.9620 - accuracy: 0.6111 - val_loss: 1.2780 - val_accuracy: 0.5394
Epoch 523/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.0435 - accuracy: 0.5751 - val_loss: 1.3462 - val_accuracy: 0.4956
Epoch 524/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.8873 - accuracy: 0.6501 - val_loss: 1.2755 - val_accuracy: 0.5190
Epoch 525/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.8697 - accuracy: 0.6667 - val_loss: 1.4716 - val_accuracy: 0.4752
Epoch 526/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.9495 - accuracy: 0.6283 - val_loss: 1.5074 - val_accuracy: 0.5044
Epoch 527/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.1030 - accuracy: 0.5918 - val_loss: 1.3393 - val_accuracy: 0.5102
Epoch 528/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.9234 - accuracy: 0.6420 - val_loss: 1.3215 - val_accuracy: 0.5102
Epoch 529/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.9766 - accuracy: 0.6116 - val_loss: 1.4425 - val_accuracy: 0.5160
Epoch 530/1500
22/22 [==============================] - 0s 4ms/step - loss: 1.0143 - accuracy: 0.5940 - val_loss: 1.3637 - val_accuracy: 0.5073
Epoch 531/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.9906 - accuracy: 0.5994 - val_loss: 1.3477 - val_accuracy: 0.5394
Epoch 532/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.9387 - accuracy: 0.6070 - val_loss: 1.5684 - val_accuracy: 0.4898
Epoch 533/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.9990 - accuracy: 0.6033 - val_loss: 1.4142 - val_accuracy: 0.5015
Epoch 534/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.9143 - accuracy: 0.6337 - val_loss: 1.2863 - val_accuracy: 0.5423
Epoch 535/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.9320 - accuracy: 0.6221 - val_loss: 1.2344 - val_accuracy: 0.5277
Epoch 536/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.9430 - accuracy: 0.6314 - val_loss: 1.3913 - val_accuracy: 0.4810
Epoch 537/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.8926 - accuracy: 0.6477 - val_loss: 1.2141 - val_accuracy: 0.5423
Epoch 538/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.8291 - accuracy: 0.6657 - val_loss: 1.3496 - val_accuracy: 0.5539
Epoch 539/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.9028 - accuracy: 0.6362 - val_loss: 1.2827 - val_accuracy: 0.5190
Epoch 540/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.8440 - accuracy: 0.6751 - val_loss: 1.3578 - val_accuracy: 0.5073
Epoch 541/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.9652 - accuracy: 0.6281 - val_loss: 1.3230 - val_accuracy: 0.5073
Epoch 542/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.9326 - accuracy: 0.6321 - val_loss: 1.4484 - val_accuracy: 0.4840
Epoch 543/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.9189 - accuracy: 0.6550 - val_loss: 1.3022 - val_accuracy: 0.5452
Epoch 544/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.9683 - accuracy: 0.6094 - val_loss: 1.3144 - val_accuracy: 0.5248
Epoch 545/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.9807 - accuracy: 0.6114 - val_loss: 1.4999 - val_accuracy: 0.4956
Epoch 546/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.9476 - accuracy: 0.6500 - val_loss: 1.3725 - val_accuracy: 0.5015
Epoch 547/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.8741 - accuracy: 0.6639 - val_loss: 1.2943 - val_accuracy: 0.5423
Epoch 548/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.8898 - accuracy: 0.6569 - val_loss: 1.2272 - val_accuracy: 0.5510
Epoch 549/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.8740 - accuracy: 0.6469 - val_loss: 1.4468 - val_accuracy: 0.5277
Epoch 550/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.9504 - accuracy: 0.6301 - val_loss: 1.3847 - val_accuracy: 0.5160
Epoch 551/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.0080 - accuracy: 0.6012 - val_loss: 1.4560 - val_accuracy: 0.4956
Epoch 552/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.0479 - accuracy: 0.5785 - val_loss: 1.3389 - val_accuracy: 0.5423
Epoch 553/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.9342 - accuracy: 0.6283 - val_loss: 1.2947 - val_accuracy: 0.5539
Epoch 554/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.8898 - accuracy: 0.6555 - val_loss: 1.2357 - val_accuracy: 0.5685
Epoch 555/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.8513 - accuracy: 0.6606 - val_loss: 1.3355 - val_accuracy: 0.5423
Epoch 556/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.8671 - accuracy: 0.6431 - val_loss: 1.3589 - val_accuracy: 0.5073
Epoch 557/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.8730 - accuracy: 0.6465 - val_loss: 1.6455 - val_accuracy: 0.4694
Epoch 558/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.9886 - accuracy: 0.6240 - val_loss: 1.3914 - val_accuracy: 0.4869
Epoch 559/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.8930 - accuracy: 0.6373 - val_loss: 1.3104 - val_accuracy: 0.5481
Epoch 560/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.9879 - accuracy: 0.6330 - val_loss: 1.2717 - val_accuracy: 0.5510
Epoch 561/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.8604 - accuracy: 0.6561 - val_loss: 1.2983 - val_accuracy: 0.5627
Epoch 562/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.9156 - accuracy: 0.6381 - val_loss: 1.3087 - val_accuracy: 0.5452
Epoch 563/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.8324 - accuracy: 0.6708 - val_loss: 1.4003 - val_accuracy: 0.5277
Epoch 564/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.8771 - accuracy: 0.6436 - val_loss: 1.5783 - val_accuracy: 0.4723
Epoch 565/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.9725 - accuracy: 0.6094 - val_loss: 1.8401 - val_accuracy: 0.4431
Epoch 566/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.0417 - accuracy: 0.6229 - val_loss: 1.2973 - val_accuracy: 0.5015
Epoch 567/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.9062 - accuracy: 0.6429 - val_loss: 1.2923 - val_accuracy: 0.5364
Epoch 568/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.8174 - accuracy: 0.6708 - val_loss: 1.3707 - val_accuracy: 0.5452
Epoch 569/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.8512 - accuracy: 0.6467 - val_loss: 1.2778 - val_accuracy: 0.5364
Epoch 570/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.9604 - accuracy: 0.6219 - val_loss: 1.4807 - val_accuracy: 0.4840
Epoch 571/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.8793 - accuracy: 0.6644 - val_loss: 1.4630 - val_accuracy: 0.4810
Epoch 572/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.9340 - accuracy: 0.6338 - val_loss: 1.5155 - val_accuracy: 0.4956
Epoch 573/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.9814 - accuracy: 0.6244 - val_loss: 1.3195 - val_accuracy: 0.5160
Epoch 574/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.8313 - accuracy: 0.6670 - val_loss: 1.3706 - val_accuracy: 0.5394
Epoch 575/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.8334 - accuracy: 0.6585 - val_loss: 1.2914 - val_accuracy: 0.5539
Epoch 576/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.8052 - accuracy: 0.6794 - val_loss: 1.4067 - val_accuracy: 0.5743
Epoch 577/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.9953 - accuracy: 0.6015 - val_loss: 1.5879 - val_accuracy: 0.4694
Epoch 578/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.0284 - accuracy: 0.6046 - val_loss: 1.2553 - val_accuracy: 0.5190
Epoch 579/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.8808 - accuracy: 0.6537 - val_loss: 1.5692 - val_accuracy: 0.4840
Epoch 580/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.8854 - accuracy: 0.6518 - val_loss: 1.4715 - val_accuracy: 0.5219
Epoch 581/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.8875 - accuracy: 0.6505 - val_loss: 1.2837 - val_accuracy: 0.5335
Epoch 582/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.8437 - accuracy: 0.6649 - val_loss: 1.3323 - val_accuracy: 0.5102
Epoch 583/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.9742 - accuracy: 0.6264 - val_loss: 1.5791 - val_accuracy: 0.4956
Epoch 584/1500
22/22 [==============================] - 0s 8ms/step - loss: 0.8841 - accuracy: 0.6514 - val_loss: 1.3019 - val_accuracy: 0.5394
Epoch 585/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.8248 - accuracy: 0.6608 - val_loss: 1.3639 - val_accuracy: 0.5394
Epoch 586/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.8186 - accuracy: 0.6860 - val_loss: 1.5448 - val_accuracy: 0.5131
Epoch 587/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.9325 - accuracy: 0.6424 - val_loss: 1.3690 - val_accuracy: 0.5452
Epoch 588/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.8173 - accuracy: 0.6831 - val_loss: 1.4040 - val_accuracy: 0.5131
Epoch 589/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.7647 - accuracy: 0.7066 - val_loss: 1.5094 - val_accuracy: 0.5044
Epoch 590/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.9274 - accuracy: 0.6150 - val_loss: 1.4629 - val_accuracy: 0.5102
Epoch 591/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.8910 - accuracy: 0.6538 - val_loss: 1.5085 - val_accuracy: 0.4956
Epoch 592/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.8972 - accuracy: 0.6440 - val_loss: 1.4536 - val_accuracy: 0.5131
Epoch 593/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.8602 - accuracy: 0.6769 - val_loss: 1.3158 - val_accuracy: 0.5131
Epoch 594/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.8847 - accuracy: 0.6433 - val_loss: 1.2809 - val_accuracy: 0.5248
Epoch 595/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.8184 - accuracy: 0.6837 - val_loss: 1.7406 - val_accuracy: 0.4898
Epoch 596/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.8622 - accuracy: 0.6595 - val_loss: 1.3273 - val_accuracy: 0.5335
Epoch 597/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.8516 - accuracy: 0.6881 - val_loss: 1.3631 - val_accuracy: 0.4869
Epoch 598/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.8386 - accuracy: 0.6798 - val_loss: 1.3569 - val_accuracy: 0.5131
Epoch 599/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.8028 - accuracy: 0.6976 - val_loss: 1.4357 - val_accuracy: 0.5248
Epoch 600/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.7905 - accuracy: 0.6939 - val_loss: 1.5065 - val_accuracy: 0.5190
Epoch 601/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.8446 - accuracy: 0.6654 - val_loss: 1.9774 - val_accuracy: 0.4111
Epoch 602/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.0511 - accuracy: 0.6205 - val_loss: 1.4083 - val_accuracy: 0.5044
Epoch 603/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.8816 - accuracy: 0.6478 - val_loss: 1.3531 - val_accuracy: 0.5335
Epoch 604/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.8098 - accuracy: 0.6833 - val_loss: 1.3420 - val_accuracy: 0.5044
Epoch 605/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.8228 - accuracy: 0.6689 - val_loss: 1.3589 - val_accuracy: 0.5335
Epoch 606/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.7624 - accuracy: 0.7094 - val_loss: 1.4135 - val_accuracy: 0.5656
Epoch 607/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.9472 - accuracy: 0.6399 - val_loss: 1.3902 - val_accuracy: 0.5160
Epoch 608/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.8409 - accuracy: 0.6754 - val_loss: 1.3223 - val_accuracy: 0.5627
Epoch 609/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.7933 - accuracy: 0.6998 - val_loss: 1.4474 - val_accuracy: 0.5423
Epoch 610/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.8998 - accuracy: 0.6521 - val_loss: 1.3632 - val_accuracy: 0.5248
Epoch 611/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.8270 - accuracy: 0.6624 - val_loss: 1.4381 - val_accuracy: 0.5248
Epoch 612/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.9675 - accuracy: 0.6070 - val_loss: 1.3237 - val_accuracy: 0.5423
Epoch 613/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.9302 - accuracy: 0.6421 - val_loss: 1.3841 - val_accuracy: 0.5248
Epoch 614/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.9314 - accuracy: 0.6371 - val_loss: 1.5543 - val_accuracy: 0.4752
Epoch 615/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.8543 - accuracy: 0.6644 - val_loss: 1.2486 - val_accuracy: 0.5627
Epoch 616/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.7696 - accuracy: 0.7051 - val_loss: 1.5324 - val_accuracy: 0.5248
Epoch 617/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.7560 - accuracy: 0.6994 - val_loss: 1.4890 - val_accuracy: 0.5219
Epoch 618/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.7629 - accuracy: 0.6905 - val_loss: 1.4455 - val_accuracy: 0.5248
Epoch 619/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.8459 - accuracy: 0.6480 - val_loss: 1.7002 - val_accuracy: 0.4985
Epoch 620/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.7936 - accuracy: 0.7018 - val_loss: 1.3721 - val_accuracy: 0.5394
Epoch 621/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.7582 - accuracy: 0.7044 - val_loss: 1.3839 - val_accuracy: 0.5335
Epoch 622/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.7403 - accuracy: 0.7086 - val_loss: 1.3630 - val_accuracy: 0.5394
Epoch 623/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.7710 - accuracy: 0.7022 - val_loss: 1.3515 - val_accuracy: 0.5306
Epoch 624/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.7624 - accuracy: 0.6888 - val_loss: 1.3583 - val_accuracy: 0.5190
Epoch 625/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.7345 - accuracy: 0.7036 - val_loss: 1.3506 - val_accuracy: 0.5627
Epoch 626/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.8002 - accuracy: 0.6731 - val_loss: 1.5859 - val_accuracy: 0.5394
Epoch 627/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.8282 - accuracy: 0.6690 - val_loss: 1.4549 - val_accuracy: 0.5335
Epoch 628/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.7116 - accuracy: 0.7238 - val_loss: 1.6090 - val_accuracy: 0.5394
Epoch 629/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.8747 - accuracy: 0.6549 - val_loss: 1.4377 - val_accuracy: 0.5248
Epoch 630/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.8239 - accuracy: 0.6646 - val_loss: 2.0565 - val_accuracy: 0.4373
Epoch 631/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.8821 - accuracy: 0.6638 - val_loss: 1.3560 - val_accuracy: 0.5248
Epoch 632/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.7890 - accuracy: 0.6984 - val_loss: 1.6491 - val_accuracy: 0.5015
Epoch 633/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.7500 - accuracy: 0.7155 - val_loss: 1.7164 - val_accuracy: 0.5044
Epoch 634/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.0170 - accuracy: 0.6197 - val_loss: 1.4656 - val_accuracy: 0.5073
Epoch 635/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.9288 - accuracy: 0.6321 - val_loss: 1.4296 - val_accuracy: 0.5102
Epoch 636/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.8561 - accuracy: 0.6698 - val_loss: 1.3690 - val_accuracy: 0.5539
Epoch 637/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.7630 - accuracy: 0.6838 - val_loss: 1.4967 - val_accuracy: 0.4956
Epoch 638/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.7887 - accuracy: 0.7008 - val_loss: 1.3908 - val_accuracy: 0.5481
Epoch 639/1500
22/22 [==============================] - 0s 4ms/step - loss: 0.7334 - accuracy: 0.6950 - val_loss: 1.3331 - val_accuracy: 0.5627
Epoch 640/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.7194 - accuracy: 0.7350 - val_loss: 1.4377 - val_accuracy: 0.5394
Epoch 641/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.7272 - accuracy: 0.7115 - val_loss: 1.5751 - val_accuracy: 0.5306
Epoch 642/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.7378 - accuracy: 0.7189 - val_loss: 1.4635 - val_accuracy: 0.5306
Epoch 643/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.8012 - accuracy: 0.6909 - val_loss: 1.5913 - val_accuracy: 0.5044
Epoch 644/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.8357 - accuracy: 0.6734 - val_loss: 1.3647 - val_accuracy: 0.5598
Epoch 645/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.8501 - accuracy: 0.6462 - val_loss: 1.8158 - val_accuracy: 0.4898
Epoch 646/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.8870 - accuracy: 0.6427 - val_loss: 1.3593 - val_accuracy: 0.5627
Epoch 647/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.7622 - accuracy: 0.7204 - val_loss: 1.8245 - val_accuracy: 0.4840
Epoch 648/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.9468 - accuracy: 0.6271 - val_loss: 1.2947 - val_accuracy: 0.5598
Epoch 649/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.7721 - accuracy: 0.6992 - val_loss: 1.3855 - val_accuracy: 0.5394
Epoch 650/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.7507 - accuracy: 0.6938 - val_loss: 1.3738 - val_accuracy: 0.5423
Epoch 651/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.6861 - accuracy: 0.7277 - val_loss: 1.4373 - val_accuracy: 0.5510
Epoch 652/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.7315 - accuracy: 0.7092 - val_loss: 1.3672 - val_accuracy: 0.5685
Epoch 653/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.7418 - accuracy: 0.6991 - val_loss: 1.4292 - val_accuracy: 0.5656
Epoch 654/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.7355 - accuracy: 0.7131 - val_loss: 1.5453 - val_accuracy: 0.5248
Epoch 655/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.6796 - accuracy: 0.7323 - val_loss: 1.5226 - val_accuracy: 0.5364
Epoch 656/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.8350 - accuracy: 0.6783 - val_loss: 1.5662 - val_accuracy: 0.5073
Epoch 657/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.8304 - accuracy: 0.6781 - val_loss: 1.5324 - val_accuracy: 0.5160
Epoch 658/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.9228 - accuracy: 0.6422 - val_loss: 1.6329 - val_accuracy: 0.5073
Epoch 659/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.9067 - accuracy: 0.6429 - val_loss: 1.4168 - val_accuracy: 0.5306
Epoch 660/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.7844 - accuracy: 0.6812 - val_loss: 1.5286 - val_accuracy: 0.5510
Epoch 661/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.7321 - accuracy: 0.7217 - val_loss: 1.4471 - val_accuracy: 0.5627
Epoch 662/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.7172 - accuracy: 0.7265 - val_loss: 1.4041 - val_accuracy: 0.5569
Epoch 663/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.8452 - accuracy: 0.6884 - val_loss: 1.4070 - val_accuracy: 0.5598
Epoch 664/1500
22/22 [==============================] - 0s 10ms/step - loss: 0.6626 - accuracy: 0.7441 - val_loss: 1.4448 - val_accuracy: 0.5423
Epoch 665/1500
22/22 [==============================] - 0s 4ms/step - loss: 0.7311 - accuracy: 0.7100 - val_loss: 1.3853 - val_accuracy: 0.5364
Epoch 666/1500
22/22 [==============================] - 0s 5ms/step - loss: 0.7218 - accuracy: 0.7112 - val_loss: 1.5089 - val_accuracy: 0.5539
Epoch 667/1500
22/22 [==============================] - 0s 4ms/step - loss: 0.7175 - accuracy: 0.7330 - val_loss: 1.5400 - val_accuracy: 0.5423
Epoch 668/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.6786 - accuracy: 0.7441 - val_loss: 1.6155 - val_accuracy: 0.5364
Epoch 669/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.7130 - accuracy: 0.7266 - val_loss: 1.6774 - val_accuracy: 0.5160
Epoch 670/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.7722 - accuracy: 0.6997 - val_loss: 1.5104 - val_accuracy: 0.5510
Epoch 671/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.6871 - accuracy: 0.7477 - val_loss: 1.4301 - val_accuracy: 0.5423
Epoch 672/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.6372 - accuracy: 0.7457 - val_loss: 1.5598 - val_accuracy: 0.5510
Epoch 673/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.6800 - accuracy: 0.7369 - val_loss: 1.5435 - val_accuracy: 0.5277
Epoch 674/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.7699 - accuracy: 0.7011 - val_loss: 1.4976 - val_accuracy: 0.5306
Epoch 675/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.7663 - accuracy: 0.6974 - val_loss: 1.5098 - val_accuracy: 0.5306
Epoch 676/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.6538 - accuracy: 0.7434 - val_loss: 2.0223 - val_accuracy: 0.4927
Epoch 677/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.0527 - accuracy: 0.6330 - val_loss: 1.5986 - val_accuracy: 0.5306
Epoch 678/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.8242 - accuracy: 0.6749 - val_loss: 1.3765 - val_accuracy: 0.5539
Epoch 679/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.6879 - accuracy: 0.7370 - val_loss: 1.3768 - val_accuracy: 0.5714
Epoch 680/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.7100 - accuracy: 0.7160 - val_loss: 1.6120 - val_accuracy: 0.5539
Epoch 681/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.7818 - accuracy: 0.6913 - val_loss: 1.5026 - val_accuracy: 0.5627
Epoch 682/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.7270 - accuracy: 0.7245 - val_loss: 1.8083 - val_accuracy: 0.5394
Epoch 683/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.7158 - accuracy: 0.7325 - val_loss: 1.5000 - val_accuracy: 0.5452
Epoch 684/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.6143 - accuracy: 0.7534 - val_loss: 1.3704 - val_accuracy: 0.5802
Epoch 685/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.6830 - accuracy: 0.7370 - val_loss: 1.5383 - val_accuracy: 0.5569
Epoch 686/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.7029 - accuracy: 0.7196 - val_loss: 1.6191 - val_accuracy: 0.5248
Epoch 687/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.6861 - accuracy: 0.7392 - val_loss: 1.7196 - val_accuracy: 0.4781
Epoch 688/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.7611 - accuracy: 0.7105 - val_loss: 1.5612 - val_accuracy: 0.5277
Epoch 689/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.6926 - accuracy: 0.7299 - val_loss: 1.4538 - val_accuracy: 0.5510
Epoch 690/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.6697 - accuracy: 0.7414 - val_loss: 1.5552 - val_accuracy: 0.5423
Epoch 691/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.6958 - accuracy: 0.7369 - val_loss: 1.4868 - val_accuracy: 0.5335
Epoch 692/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.7458 - accuracy: 0.7068 - val_loss: 1.5739 - val_accuracy: 0.5394
Epoch 693/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.6847 - accuracy: 0.7162 - val_loss: 1.3659 - val_accuracy: 0.5948
Epoch 694/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.6384 - accuracy: 0.7445 - val_loss: 1.5612 - val_accuracy: 0.5510
Epoch 695/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.6506 - accuracy: 0.7551 - val_loss: 1.4252 - val_accuracy: 0.5452
Epoch 696/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.6776 - accuracy: 0.7377 - val_loss: 1.4571 - val_accuracy: 0.5248
Epoch 697/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.7812 - accuracy: 0.6890 - val_loss: 1.8503 - val_accuracy: 0.4810
Epoch 698/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.7414 - accuracy: 0.7086 - val_loss: 1.8515 - val_accuracy: 0.5102
Epoch 699/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.6948 - accuracy: 0.7400 - val_loss: 1.4283 - val_accuracy: 0.5714
Epoch 700/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.6076 - accuracy: 0.7596 - val_loss: 1.4986 - val_accuracy: 0.5685
Epoch 701/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.6488 - accuracy: 0.7444 - val_loss: 1.6034 - val_accuracy: 0.5539
Epoch 702/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.6152 - accuracy: 0.7582 - val_loss: 1.7368 - val_accuracy: 0.5481
Epoch 703/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.6863 - accuracy: 0.7312 - val_loss: 1.6795 - val_accuracy: 0.5190
Epoch 704/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.7019 - accuracy: 0.7317 - val_loss: 1.8796 - val_accuracy: 0.4869
Epoch 705/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.7446 - accuracy: 0.7142 - val_loss: 1.6604 - val_accuracy: 0.5364
Epoch 706/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.9226 - accuracy: 0.6540 - val_loss: 1.5563 - val_accuracy: 0.5131
Epoch 707/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.8614 - accuracy: 0.6591 - val_loss: 1.8837 - val_accuracy: 0.4752
Epoch 708/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.9428 - accuracy: 0.6432 - val_loss: 1.4757 - val_accuracy: 0.5656
Epoch 709/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.8107 - accuracy: 0.6908 - val_loss: 1.5441 - val_accuracy: 0.5510
Epoch 710/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.6599 - accuracy: 0.7390 - val_loss: 1.5618 - val_accuracy: 0.5364
Epoch 711/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.7125 - accuracy: 0.7329 - val_loss: 1.4927 - val_accuracy: 0.5423
Epoch 712/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.7571 - accuracy: 0.6873 - val_loss: 1.6371 - val_accuracy: 0.5598
Epoch 713/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.6622 - accuracy: 0.7321 - val_loss: 1.5571 - val_accuracy: 0.5481
Epoch 714/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.6575 - accuracy: 0.7350 - val_loss: 1.5098 - val_accuracy: 0.5743
Epoch 715/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.7567 - accuracy: 0.7174 - val_loss: 1.6656 - val_accuracy: 0.5364
Epoch 716/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.7043 - accuracy: 0.7203 - val_loss: 1.5302 - val_accuracy: 0.5539
Epoch 717/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.7262 - accuracy: 0.7285 - val_loss: 1.7248 - val_accuracy: 0.5306
Epoch 718/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.6301 - accuracy: 0.7581 - val_loss: 1.6095 - val_accuracy: 0.5773
Epoch 719/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.5942 - accuracy: 0.7778 - val_loss: 1.6311 - val_accuracy: 0.5685
Epoch 720/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.6399 - accuracy: 0.7539 - val_loss: 1.6582 - val_accuracy: 0.5743
Epoch 721/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.6251 - accuracy: 0.7503 - val_loss: 1.5635 - val_accuracy: 0.5423
Epoch 722/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.6027 - accuracy: 0.7618 - val_loss: 1.6593 - val_accuracy: 0.5539
Epoch 723/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.7350 - accuracy: 0.7137 - val_loss: 1.5708 - val_accuracy: 0.5277
Epoch 724/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.7669 - accuracy: 0.6937 - val_loss: 1.4401 - val_accuracy: 0.5452
Epoch 725/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.6996 - accuracy: 0.7161 - val_loss: 1.7370 - val_accuracy: 0.5656
Epoch 726/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.7439 - accuracy: 0.7189 - val_loss: 1.6936 - val_accuracy: 0.5569
Epoch 727/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.7276 - accuracy: 0.7261 - val_loss: 1.6248 - val_accuracy: 0.5423
Epoch 728/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.5928 - accuracy: 0.7674 - val_loss: 1.7074 - val_accuracy: 0.5539
Epoch 729/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.6940 - accuracy: 0.7329 - val_loss: 1.5554 - val_accuracy: 0.5685
Epoch 730/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.6630 - accuracy: 0.7396 - val_loss: 1.5215 - val_accuracy: 0.5831
Epoch 731/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.5681 - accuracy: 0.7763 - val_loss: 1.6631 - val_accuracy: 0.5248
Epoch 732/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.6885 - accuracy: 0.7435 - val_loss: 1.6781 - val_accuracy: 0.5481
Epoch 733/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.5622 - accuracy: 0.7882 - val_loss: 1.8013 - val_accuracy: 0.5248
Epoch 734/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.6967 - accuracy: 0.7243 - val_loss: 1.9016 - val_accuracy: 0.5306
Epoch 735/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.6878 - accuracy: 0.7225 - val_loss: 2.1544 - val_accuracy: 0.4927
Epoch 736/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.8924 - accuracy: 0.6833 - val_loss: 1.7895 - val_accuracy: 0.5423
Epoch 737/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.6493 - accuracy: 0.7556 - val_loss: 1.7350 - val_accuracy: 0.5481
Epoch 738/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.6530 - accuracy: 0.7468 - val_loss: 1.4581 - val_accuracy: 0.5539
Epoch 739/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.5998 - accuracy: 0.7734 - val_loss: 1.6420 - val_accuracy: 0.5685
Epoch 740/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.5434 - accuracy: 0.7857 - val_loss: 1.7939 - val_accuracy: 0.5364
Epoch 741/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.7780 - accuracy: 0.7117 - val_loss: 1.8629 - val_accuracy: 0.5073
Epoch 742/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.7535 - accuracy: 0.7267 - val_loss: 1.6676 - val_accuracy: 0.5219
Epoch 743/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.6934 - accuracy: 0.7341 - val_loss: 1.7931 - val_accuracy: 0.5423
Epoch 744/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.6011 - accuracy: 0.7548 - val_loss: 1.6303 - val_accuracy: 0.5481
Epoch 745/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.5950 - accuracy: 0.7748 - val_loss: 1.6045 - val_accuracy: 0.5539
Epoch 746/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.5762 - accuracy: 0.7656 - val_loss: 1.5538 - val_accuracy: 0.5627
Epoch 747/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.5679 - accuracy: 0.7968 - val_loss: 1.8531 - val_accuracy: 0.5423
Epoch 748/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.6723 - accuracy: 0.7300 - val_loss: 1.5497 - val_accuracy: 0.5481
Epoch 749/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.5965 - accuracy: 0.7663 - val_loss: 1.5515 - val_accuracy: 0.5569
Epoch 750/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.6299 - accuracy: 0.7494 - val_loss: 1.6599 - val_accuracy: 0.5714
Epoch 751/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.5968 - accuracy: 0.7598 - val_loss: 1.6455 - val_accuracy: 0.5248
Epoch 752/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.6225 - accuracy: 0.7557 - val_loss: 1.6747 - val_accuracy: 0.5510
Epoch 753/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.5994 - accuracy: 0.7801 - val_loss: 1.7344 - val_accuracy: 0.5539
Epoch 754/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.5545 - accuracy: 0.7795 - val_loss: 1.6187 - val_accuracy: 0.5656
Epoch 755/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.5856 - accuracy: 0.7709 - val_loss: 1.6784 - val_accuracy: 0.5481
Epoch 756/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.5050 - accuracy: 0.8043 - val_loss: 2.0986 - val_accuracy: 0.5423
Epoch 757/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.5514 - accuracy: 0.7934 - val_loss: 1.7498 - val_accuracy: 0.5598
Epoch 758/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.5883 - accuracy: 0.7706 - val_loss: 1.7334 - val_accuracy: 0.5773
Epoch 759/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.5681 - accuracy: 0.7931 - val_loss: 1.8773 - val_accuracy: 0.5423
Epoch 760/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.5356 - accuracy: 0.7970 - val_loss: 2.2359 - val_accuracy: 0.4810
Epoch 761/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.6774 - accuracy: 0.7361 - val_loss: 1.9061 - val_accuracy: 0.5160
Epoch 762/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.7284 - accuracy: 0.7050 - val_loss: 1.9910 - val_accuracy: 0.5248
Epoch 763/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.6951 - accuracy: 0.7360 - val_loss: 2.2943 - val_accuracy: 0.4810
Epoch 764/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.6605 - accuracy: 0.7367 - val_loss: 1.8202 - val_accuracy: 0.5831
Epoch 765/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.5964 - accuracy: 0.7595 - val_loss: 1.6165 - val_accuracy: 0.5627
Epoch 766/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.5144 - accuracy: 0.7981 - val_loss: 1.6420 - val_accuracy: 0.5452
Epoch 767/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.7380 - accuracy: 0.7131 - val_loss: 1.9559 - val_accuracy: 0.4985
Epoch 768/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.6382 - accuracy: 0.7448 - val_loss: 1.7260 - val_accuracy: 0.5248
Epoch 769/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.5850 - accuracy: 0.7875 - val_loss: 1.5438 - val_accuracy: 0.5627
Epoch 770/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.5095 - accuracy: 0.8053 - val_loss: 1.9158 - val_accuracy: 0.5452
Epoch 771/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.6248 - accuracy: 0.7557 - val_loss: 1.7688 - val_accuracy: 0.5015
Epoch 772/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.6709 - accuracy: 0.7483 - val_loss: 1.6780 - val_accuracy: 0.5248
Epoch 773/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.7361 - accuracy: 0.7190 - val_loss: 1.8926 - val_accuracy: 0.4956
Epoch 774/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.5892 - accuracy: 0.7723 - val_loss: 1.7195 - val_accuracy: 0.5569
Epoch 775/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.5354 - accuracy: 0.7917 - val_loss: 1.6909 - val_accuracy: 0.5714
Epoch 776/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.5679 - accuracy: 0.7706 - val_loss: 1.8523 - val_accuracy: 0.5335
Epoch 777/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.5989 - accuracy: 0.7684 - val_loss: 1.8353 - val_accuracy: 0.5452
Epoch 778/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.6151 - accuracy: 0.7479 - val_loss: 1.6621 - val_accuracy: 0.5539
Epoch 779/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.8376 - accuracy: 0.6958 - val_loss: 1.8320 - val_accuracy: 0.4927
Epoch 780/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.9099 - accuracy: 0.6624 - val_loss: 1.6920 - val_accuracy: 0.5277
Epoch 781/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.8822 - accuracy: 0.6752 - val_loss: 1.7260 - val_accuracy: 0.5335
Epoch 782/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.6160 - accuracy: 0.7747 - val_loss: 1.7220 - val_accuracy: 0.5335
Epoch 783/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.6929 - accuracy: 0.7222 - val_loss: 1.7025 - val_accuracy: 0.5539
Epoch 784/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.5361 - accuracy: 0.7935 - val_loss: 1.6396 - val_accuracy: 0.5627
Epoch 785/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.5796 - accuracy: 0.7987 - val_loss: 1.6608 - val_accuracy: 0.5598
Epoch 786/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.5164 - accuracy: 0.8057 - val_loss: 1.7059 - val_accuracy: 0.5569
Epoch 787/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.5958 - accuracy: 0.7709 - val_loss: 2.3965 - val_accuracy: 0.4840
Epoch 788/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.7319 - accuracy: 0.7487 - val_loss: 1.9532 - val_accuracy: 0.5219
Epoch 789/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.6594 - accuracy: 0.7481 - val_loss: 1.7039 - val_accuracy: 0.5277
Epoch 790/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.5577 - accuracy: 0.7849 - val_loss: 1.7017 - val_accuracy: 0.5773
Epoch 791/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.5112 - accuracy: 0.8044 - val_loss: 2.0266 - val_accuracy: 0.5452
Epoch 792/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.5812 - accuracy: 0.7884 - val_loss: 1.7223 - val_accuracy: 0.5714
Epoch 793/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.5025 - accuracy: 0.8045 - val_loss: 2.0841 - val_accuracy: 0.5335
Epoch 794/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.5432 - accuracy: 0.7823 - val_loss: 1.7336 - val_accuracy: 0.5481
Epoch 795/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.4774 - accuracy: 0.8150 - val_loss: 1.8550 - val_accuracy: 0.5306
Epoch 796/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.5476 - accuracy: 0.7837 - val_loss: 2.0483 - val_accuracy: 0.5423
Epoch 797/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.5266 - accuracy: 0.7961 - val_loss: 2.0622 - val_accuracy: 0.5248
Epoch 798/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.4375 - accuracy: 0.8286 - val_loss: 1.8094 - val_accuracy: 0.5423
Epoch 799/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.5623 - accuracy: 0.7907 - val_loss: 1.9844 - val_accuracy: 0.5102
Epoch 800/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.4690 - accuracy: 0.8215 - val_loss: 1.8042 - val_accuracy: 0.5656
Epoch 801/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.4787 - accuracy: 0.8230 - val_loss: 1.9212 - val_accuracy: 0.5598
Epoch 802/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.6223 - accuracy: 0.7544 - val_loss: 2.0574 - val_accuracy: 0.5394
Epoch 803/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.5778 - accuracy: 0.7751 - val_loss: 1.6897 - val_accuracy: 0.5510
Epoch 804/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.6023 - accuracy: 0.7801 - val_loss: 2.0586 - val_accuracy: 0.5627
Epoch 805/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.6130 - accuracy: 0.7796 - val_loss: 1.9834 - val_accuracy: 0.5452
Epoch 806/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.6354 - accuracy: 0.7520 - val_loss: 2.2997 - val_accuracy: 0.5452
Epoch 807/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.6300 - accuracy: 0.7636 - val_loss: 1.8201 - val_accuracy: 0.5277
Epoch 808/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.5706 - accuracy: 0.7873 - val_loss: 1.8301 - val_accuracy: 0.5044
Epoch 809/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.5293 - accuracy: 0.8020 - val_loss: 2.0835 - val_accuracy: 0.5394
Epoch 810/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.6160 - accuracy: 0.7662 - val_loss: 1.9965 - val_accuracy: 0.5481
Epoch 811/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.5480 - accuracy: 0.7994 - val_loss: 2.1786 - val_accuracy: 0.5423
Epoch 812/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.5441 - accuracy: 0.7982 - val_loss: 1.9732 - val_accuracy: 0.5685
Epoch 813/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.4770 - accuracy: 0.8198 - val_loss: 1.9365 - val_accuracy: 0.5423
Epoch 814/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.5089 - accuracy: 0.8056 - val_loss: 2.5111 - val_accuracy: 0.5102
Epoch 815/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.4442 - accuracy: 0.8359 - val_loss: 1.9104 - val_accuracy: 0.5510
Epoch 816/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.4410 - accuracy: 0.8335 - val_loss: 2.0158 - val_accuracy: 0.5569
Epoch 817/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.4448 - accuracy: 0.8365 - val_loss: 1.9501 - val_accuracy: 0.5569
Epoch 818/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.4972 - accuracy: 0.8233 - val_loss: 1.8856 - val_accuracy: 0.5073
Epoch 819/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.7879 - accuracy: 0.7129 - val_loss: 2.1250 - val_accuracy: 0.5219
Epoch 820/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.6149 - accuracy: 0.7650 - val_loss: 1.8476 - val_accuracy: 0.5510
Epoch 821/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.5741 - accuracy: 0.7894 - val_loss: 1.9685 - val_accuracy: 0.5714
Epoch 822/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.7789 - accuracy: 0.7065 - val_loss: 1.5797 - val_accuracy: 0.5306
Epoch 823/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.8838 - accuracy: 0.6766 - val_loss: 1.9549 - val_accuracy: 0.5335
Epoch 824/1500
22/22 [==============================] - 0s 7ms/step - loss: 0.6350 - accuracy: 0.7617 - val_loss: 1.9269 - val_accuracy: 0.5335
Epoch 825/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.5498 - accuracy: 0.8043 - val_loss: 1.7748 - val_accuracy: 0.5335
Epoch 826/1500
22/22 [==============================] - 0s 10ms/step - loss: 0.5480 - accuracy: 0.7883 - val_loss: 1.7530 - val_accuracy: 0.5510
Epoch 827/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.4611 - accuracy: 0.8335 - val_loss: 2.0086 - val_accuracy: 0.5452
Epoch 828/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.4592 - accuracy: 0.8340 - val_loss: 1.8205 - val_accuracy: 0.5627
Epoch 829/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.4213 - accuracy: 0.8431 - val_loss: 1.8973 - val_accuracy: 0.5394
Epoch 830/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.4421 - accuracy: 0.8322 - val_loss: 2.1580 - val_accuracy: 0.5423
Epoch 831/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.5931 - accuracy: 0.7761 - val_loss: 1.7814 - val_accuracy: 0.5627
Epoch 832/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.7266 - accuracy: 0.7196 - val_loss: 1.8739 - val_accuracy: 0.5423
Epoch 833/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.6223 - accuracy: 0.7794 - val_loss: 1.8587 - val_accuracy: 0.5569
Epoch 834/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.5638 - accuracy: 0.7823 - val_loss: 1.9891 - val_accuracy: 0.5277
Epoch 835/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.5148 - accuracy: 0.7911 - val_loss: 1.7804 - val_accuracy: 0.5423
Epoch 836/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.4837 - accuracy: 0.8240 - val_loss: 2.2849 - val_accuracy: 0.5364
Epoch 837/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.4789 - accuracy: 0.8099 - val_loss: 1.7690 - val_accuracy: 0.5335
Epoch 838/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.4159 - accuracy: 0.8532 - val_loss: 1.7836 - val_accuracy: 0.5598
Epoch 839/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.4654 - accuracy: 0.8284 - val_loss: 2.0316 - val_accuracy: 0.5160
Epoch 840/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.5929 - accuracy: 0.7706 - val_loss: 1.7969 - val_accuracy: 0.5277
Epoch 841/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.4821 - accuracy: 0.8157 - val_loss: 1.8963 - val_accuracy: 0.5481
Epoch 842/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.4386 - accuracy: 0.8374 - val_loss: 1.8239 - val_accuracy: 0.5335
Epoch 843/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.6764 - accuracy: 0.7591 - val_loss: 1.8630 - val_accuracy: 0.5598
Epoch 844/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.5851 - accuracy: 0.7849 - val_loss: 1.9200 - val_accuracy: 0.5335
Epoch 845/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.4547 - accuracy: 0.8297 - val_loss: 1.8681 - val_accuracy: 0.5248
Epoch 846/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.4457 - accuracy: 0.8339 - val_loss: 2.5805 - val_accuracy: 0.5015
Epoch 847/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.5236 - accuracy: 0.8133 - val_loss: 1.9905 - val_accuracy: 0.5394
Epoch 848/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.4790 - accuracy: 0.8092 - val_loss: 1.8414 - val_accuracy: 0.5073
Epoch 849/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.5392 - accuracy: 0.7842 - val_loss: 2.0637 - val_accuracy: 0.5335
Epoch 850/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.5208 - accuracy: 0.8073 - val_loss: 2.3013 - val_accuracy: 0.5131
Epoch 851/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.5643 - accuracy: 0.8007 - val_loss: 1.9943 - val_accuracy: 0.5481
Epoch 852/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.5053 - accuracy: 0.8168 - val_loss: 1.8476 - val_accuracy: 0.5481
Epoch 853/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.5091 - accuracy: 0.8056 - val_loss: 2.0472 - val_accuracy: 0.5598
Epoch 854/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.4708 - accuracy: 0.8230 - val_loss: 1.9071 - val_accuracy: 0.5394
Epoch 855/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3969 - accuracy: 0.8484 - val_loss: 1.8051 - val_accuracy: 0.5335
Epoch 856/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3884 - accuracy: 0.8579 - val_loss: 1.9095 - val_accuracy: 0.5539
Epoch 857/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.5381 - accuracy: 0.8010 - val_loss: 2.1807 - val_accuracy: 0.5394
Epoch 858/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.4897 - accuracy: 0.8043 - val_loss: 2.0569 - val_accuracy: 0.5364
Epoch 859/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3918 - accuracy: 0.8425 - val_loss: 2.0061 - val_accuracy: 0.5452
Epoch 860/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.4074 - accuracy: 0.8453 - val_loss: 2.1398 - val_accuracy: 0.5539
Epoch 861/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3851 - accuracy: 0.8659 - val_loss: 1.9427 - val_accuracy: 0.5510
Epoch 862/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.4400 - accuracy: 0.8343 - val_loss: 2.2759 - val_accuracy: 0.5364
Epoch 863/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3755 - accuracy: 0.8627 - val_loss: 1.8303 - val_accuracy: 0.5481
Epoch 864/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3941 - accuracy: 0.8509 - val_loss: 2.1786 - val_accuracy: 0.5510
Epoch 865/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.4674 - accuracy: 0.8144 - val_loss: 2.0410 - val_accuracy: 0.5394
Epoch 866/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.4700 - accuracy: 0.8275 - val_loss: 2.2246 - val_accuracy: 0.5306
Epoch 867/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.4053 - accuracy: 0.8410 - val_loss: 1.8960 - val_accuracy: 0.5773
Epoch 868/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3851 - accuracy: 0.8573 - val_loss: 2.0054 - val_accuracy: 0.5306
Epoch 869/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.4704 - accuracy: 0.8199 - val_loss: 1.9123 - val_accuracy: 0.5627
Epoch 870/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.4392 - accuracy: 0.8523 - val_loss: 2.1574 - val_accuracy: 0.5598
Epoch 871/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.4620 - accuracy: 0.8178 - val_loss: 2.1694 - val_accuracy: 0.5685
Epoch 872/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.4556 - accuracy: 0.8485 - val_loss: 1.9512 - val_accuracy: 0.5714
Epoch 873/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.4122 - accuracy: 0.8413 - val_loss: 1.8939 - val_accuracy: 0.5685
Epoch 874/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3762 - accuracy: 0.8703 - val_loss: 2.1201 - val_accuracy: 0.5656
Epoch 875/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.4397 - accuracy: 0.8238 - val_loss: 2.2450 - val_accuracy: 0.5452
Epoch 876/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.4424 - accuracy: 0.8344 - val_loss: 2.3824 - val_accuracy: 0.4898
Epoch 877/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.4880 - accuracy: 0.8149 - val_loss: 2.1828 - val_accuracy: 0.5335
Epoch 878/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.5433 - accuracy: 0.7991 - val_loss: 2.0998 - val_accuracy: 0.5569
Epoch 879/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.5130 - accuracy: 0.7984 - val_loss: 2.0910 - val_accuracy: 0.5306
Epoch 880/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.4451 - accuracy: 0.8267 - val_loss: 2.0393 - val_accuracy: 0.5598
Epoch 881/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3698 - accuracy: 0.8627 - val_loss: 2.1280 - val_accuracy: 0.5481
Epoch 882/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.4648 - accuracy: 0.8267 - val_loss: 2.0360 - val_accuracy: 0.5656
Epoch 883/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.4317 - accuracy: 0.8349 - val_loss: 2.1060 - val_accuracy: 0.5539
Epoch 884/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.4489 - accuracy: 0.8428 - val_loss: 2.1720 - val_accuracy: 0.5335
Epoch 885/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.5376 - accuracy: 0.7866 - val_loss: 2.2195 - val_accuracy: 0.5394
Epoch 886/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.4517 - accuracy: 0.8165 - val_loss: 2.2170 - val_accuracy: 0.5364
Epoch 887/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3894 - accuracy: 0.8545 - val_loss: 2.2903 - val_accuracy: 0.5131
Epoch 888/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.4742 - accuracy: 0.8178 - val_loss: 2.0428 - val_accuracy: 0.5335
Epoch 889/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3677 - accuracy: 0.8562 - val_loss: 2.1717 - val_accuracy: 0.5160
Epoch 890/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3843 - accuracy: 0.8469 - val_loss: 2.2947 - val_accuracy: 0.5423
Epoch 891/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3479 - accuracy: 0.8681 - val_loss: 2.2092 - val_accuracy: 0.5394
Epoch 892/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2807 - accuracy: 0.8976 - val_loss: 2.3531 - val_accuracy: 0.5481
Epoch 893/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.4398 - accuracy: 0.8306 - val_loss: 2.4730 - val_accuracy: 0.5160
Epoch 894/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.4287 - accuracy: 0.8329 - val_loss: 2.1148 - val_accuracy: 0.5598
Epoch 895/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.4306 - accuracy: 0.8342 - val_loss: 2.2432 - val_accuracy: 0.5394
Epoch 896/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3852 - accuracy: 0.8582 - val_loss: 2.2551 - val_accuracy: 0.5394
Epoch 897/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.4956 - accuracy: 0.8276 - val_loss: 2.2537 - val_accuracy: 0.5102
Epoch 898/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.4650 - accuracy: 0.8099 - val_loss: 2.0556 - val_accuracy: 0.5627
Epoch 899/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3658 - accuracy: 0.8604 - val_loss: 2.3691 - val_accuracy: 0.5248
Epoch 900/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.4632 - accuracy: 0.8285 - val_loss: 2.1647 - val_accuracy: 0.5510
Epoch 901/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.4117 - accuracy: 0.8471 - val_loss: 2.2420 - val_accuracy: 0.5510
Epoch 902/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3947 - accuracy: 0.8500 - val_loss: 2.4984 - val_accuracy: 0.5569
Epoch 903/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.4314 - accuracy: 0.8364 - val_loss: 2.1007 - val_accuracy: 0.5714
Epoch 904/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3727 - accuracy: 0.8585 - val_loss: 2.1461 - val_accuracy: 0.5335
Epoch 905/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3740 - accuracy: 0.8549 - val_loss: 2.0281 - val_accuracy: 0.5627
Epoch 906/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.4911 - accuracy: 0.8143 - val_loss: 2.1641 - val_accuracy: 0.5656
Epoch 907/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.4185 - accuracy: 0.8484 - val_loss: 2.5217 - val_accuracy: 0.5452
Epoch 908/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3418 - accuracy: 0.8705 - val_loss: 2.7021 - val_accuracy: 0.5394
Epoch 909/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.4727 - accuracy: 0.8266 - val_loss: 2.3017 - val_accuracy: 0.4781
Epoch 910/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.7009 - accuracy: 0.7584 - val_loss: 3.0679 - val_accuracy: 0.4519
Epoch 911/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.7266 - accuracy: 0.7461 - val_loss: 2.1049 - val_accuracy: 0.5569
Epoch 912/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.4786 - accuracy: 0.8295 - val_loss: 2.2243 - val_accuracy: 0.5627
Epoch 913/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.4046 - accuracy: 0.8373 - val_loss: 2.4829 - val_accuracy: 0.5190
Epoch 914/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3344 - accuracy: 0.8831 - val_loss: 2.3102 - val_accuracy: 0.5656
Epoch 915/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3173 - accuracy: 0.8770 - val_loss: 2.4249 - val_accuracy: 0.5423
Epoch 916/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3305 - accuracy: 0.8823 - val_loss: 2.6463 - val_accuracy: 0.4927
Epoch 917/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3245 - accuracy: 0.8779 - val_loss: 2.5504 - val_accuracy: 0.5394
Epoch 918/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.4438 - accuracy: 0.8386 - val_loss: 2.2601 - val_accuracy: 0.5394
Epoch 919/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3533 - accuracy: 0.8612 - val_loss: 2.5034 - val_accuracy: 0.5073
Epoch 920/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3494 - accuracy: 0.8648 - val_loss: 2.3794 - val_accuracy: 0.5452
Epoch 921/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3602 - accuracy: 0.8625 - val_loss: 2.5734 - val_accuracy: 0.5452
Epoch 922/1500
22/22 [==============================] - 0s 6ms/step - loss: 0.3518 - accuracy: 0.8822 - val_loss: 2.3521 - val_accuracy: 0.5510
Epoch 923/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3661 - accuracy: 0.8593 - val_loss: 2.3443 - val_accuracy: 0.5539
Epoch 924/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.4006 - accuracy: 0.8592 - val_loss: 2.6418 - val_accuracy: 0.5219
Epoch 925/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.6287 - accuracy: 0.7711 - val_loss: 2.3247 - val_accuracy: 0.5219
Epoch 926/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.5970 - accuracy: 0.7920 - val_loss: 2.0407 - val_accuracy: 0.5656
Epoch 927/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.4311 - accuracy: 0.8453 - val_loss: 2.3903 - val_accuracy: 0.5248
Epoch 928/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3506 - accuracy: 0.8655 - val_loss: 2.3033 - val_accuracy: 0.5539
Epoch 929/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.4395 - accuracy: 0.8293 - val_loss: 2.4057 - val_accuracy: 0.5539
Epoch 930/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.5088 - accuracy: 0.8177 - val_loss: 2.3885 - val_accuracy: 0.5277
Epoch 931/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.4796 - accuracy: 0.8130 - val_loss: 2.1608 - val_accuracy: 0.5510
Epoch 932/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.4450 - accuracy: 0.8375 - val_loss: 2.1149 - val_accuracy: 0.5598
Epoch 933/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3345 - accuracy: 0.8773 - val_loss: 2.1562 - val_accuracy: 0.5685
Epoch 934/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3269 - accuracy: 0.8878 - val_loss: 2.2419 - val_accuracy: 0.5335
Epoch 935/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3741 - accuracy: 0.8579 - val_loss: 2.4845 - val_accuracy: 0.5714
Epoch 936/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3313 - accuracy: 0.8727 - val_loss: 2.4421 - val_accuracy: 0.5394
Epoch 937/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3382 - accuracy: 0.8807 - val_loss: 2.4016 - val_accuracy: 0.5685
Epoch 938/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2886 - accuracy: 0.8902 - val_loss: 2.4791 - val_accuracy: 0.5394
Epoch 939/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2987 - accuracy: 0.8833 - val_loss: 2.3126 - val_accuracy: 0.5569
Epoch 940/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2405 - accuracy: 0.9188 - val_loss: 2.5275 - val_accuracy: 0.5569
Epoch 941/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3001 - accuracy: 0.8863 - val_loss: 2.2711 - val_accuracy: 0.5248
Epoch 942/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3083 - accuracy: 0.8884 - val_loss: 2.4138 - val_accuracy: 0.5364
Epoch 943/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.4241 - accuracy: 0.8454 - val_loss: 2.3712 - val_accuracy: 0.5656
Epoch 944/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3199 - accuracy: 0.8723 - val_loss: 2.8455 - val_accuracy: 0.5452
Epoch 945/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.4736 - accuracy: 0.8309 - val_loss: 2.3228 - val_accuracy: 0.5364
Epoch 946/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3503 - accuracy: 0.8716 - val_loss: 2.2392 - val_accuracy: 0.5598
Epoch 947/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3103 - accuracy: 0.8850 - val_loss: 2.5928 - val_accuracy: 0.5452
Epoch 948/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3151 - accuracy: 0.8851 - val_loss: 2.7205 - val_accuracy: 0.5160
Epoch 949/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3279 - accuracy: 0.8778 - val_loss: 2.5398 - val_accuracy: 0.5452
Epoch 950/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.4000 - accuracy: 0.8560 - val_loss: 2.2380 - val_accuracy: 0.5190
Epoch 951/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.0218 - accuracy: 0.6964 - val_loss: 3.1220 - val_accuracy: 0.5073
Epoch 952/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.1783 - accuracy: 0.6576 - val_loss: 2.1030 - val_accuracy: 0.4956
Epoch 953/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.7518 - accuracy: 0.7459 - val_loss: 1.9533 - val_accuracy: 0.5394
Epoch 954/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.5795 - accuracy: 0.7869 - val_loss: 1.9882 - val_accuracy: 0.5773
Epoch 955/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3668 - accuracy: 0.8624 - val_loss: 2.1089 - val_accuracy: 0.5598
Epoch 956/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3493 - accuracy: 0.8747 - val_loss: 2.1639 - val_accuracy: 0.5452
Epoch 957/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3460 - accuracy: 0.8758 - val_loss: 2.1935 - val_accuracy: 0.5481
Epoch 958/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3139 - accuracy: 0.8934 - val_loss: 2.0959 - val_accuracy: 0.5190
Epoch 959/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3072 - accuracy: 0.8903 - val_loss: 2.3120 - val_accuracy: 0.5452
Epoch 960/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2831 - accuracy: 0.9090 - val_loss: 2.3293 - val_accuracy: 0.5452
Epoch 961/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3245 - accuracy: 0.8726 - val_loss: 2.4839 - val_accuracy: 0.5190
Epoch 962/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3233 - accuracy: 0.8692 - val_loss: 2.2838 - val_accuracy: 0.5160
Epoch 963/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3117 - accuracy: 0.8902 - val_loss: 2.2209 - val_accuracy: 0.5481
Epoch 964/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3629 - accuracy: 0.8657 - val_loss: 2.2135 - val_accuracy: 0.5598
Epoch 965/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2608 - accuracy: 0.9016 - val_loss: 2.3929 - val_accuracy: 0.5306
Epoch 966/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3068 - accuracy: 0.8915 - val_loss: 2.3469 - val_accuracy: 0.5569
Epoch 967/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.4082 - accuracy: 0.8501 - val_loss: 2.4639 - val_accuracy: 0.5306
Epoch 968/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.4362 - accuracy: 0.8299 - val_loss: 2.2609 - val_accuracy: 0.5306
Epoch 969/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3008 - accuracy: 0.8865 - val_loss: 2.4221 - val_accuracy: 0.5423
Epoch 970/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.4644 - accuracy: 0.8440 - val_loss: 2.9019 - val_accuracy: 0.5015
Epoch 971/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.1186 - accuracy: 0.6696 - val_loss: 2.4500 - val_accuracy: 0.5394
Epoch 972/1500
22/22 [==============================] - 0s 5ms/step - loss: 0.8130 - accuracy: 0.7432 - val_loss: 2.0799 - val_accuracy: 0.5306
Epoch 973/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.5156 - accuracy: 0.8079 - val_loss: 2.0943 - val_accuracy: 0.5423
Epoch 974/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.4501 - accuracy: 0.8392 - val_loss: 1.9305 - val_accuracy: 0.5569
Epoch 975/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3894 - accuracy: 0.8522 - val_loss: 2.0348 - val_accuracy: 0.5423
Epoch 976/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3648 - accuracy: 0.8657 - val_loss: 2.2685 - val_accuracy: 0.5685
Epoch 977/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2970 - accuracy: 0.8831 - val_loss: 2.1345 - val_accuracy: 0.5656
Epoch 978/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2827 - accuracy: 0.9017 - val_loss: 2.0221 - val_accuracy: 0.5685
Epoch 979/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2629 - accuracy: 0.8984 - val_loss: 2.4035 - val_accuracy: 0.5481
Epoch 980/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2593 - accuracy: 0.8963 - val_loss: 2.1635 - val_accuracy: 0.5510
Epoch 981/1500
22/22 [==============================] - 0s 11ms/step - loss: 0.2834 - accuracy: 0.8931 - val_loss: 2.2928 - val_accuracy: 0.5277
Epoch 982/1500
22/22 [==============================] - 0s 4ms/step - loss: 0.3325 - accuracy: 0.8747 - val_loss: 2.2683 - val_accuracy: 0.5190
Epoch 983/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.4277 - accuracy: 0.8288 - val_loss: 2.7392 - val_accuracy: 0.4927
Epoch 984/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.4148 - accuracy: 0.8503 - val_loss: 1.9755 - val_accuracy: 0.5714
Epoch 985/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3122 - accuracy: 0.8777 - val_loss: 2.2109 - val_accuracy: 0.5277
Epoch 986/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2931 - accuracy: 0.8796 - val_loss: 2.1691 - val_accuracy: 0.5394
Epoch 987/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3199 - accuracy: 0.8862 - val_loss: 2.3333 - val_accuracy: 0.5481
Epoch 988/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3003 - accuracy: 0.8845 - val_loss: 2.2607 - val_accuracy: 0.5394
Epoch 989/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2958 - accuracy: 0.8945 - val_loss: 2.6729 - val_accuracy: 0.5277
Epoch 990/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3216 - accuracy: 0.8741 - val_loss: 2.2816 - val_accuracy: 0.5627
Epoch 991/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3483 - accuracy: 0.8662 - val_loss: 2.3799 - val_accuracy: 0.5306
Epoch 992/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3043 - accuracy: 0.8893 - val_loss: 2.4821 - val_accuracy: 0.5452
Epoch 993/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3871 - accuracy: 0.8538 - val_loss: 2.5817 - val_accuracy: 0.5394
Epoch 994/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.4112 - accuracy: 0.8445 - val_loss: 2.5126 - val_accuracy: 0.5248
Epoch 995/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.4228 - accuracy: 0.8466 - val_loss: 2.3631 - val_accuracy: 0.5364
Epoch 996/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.4998 - accuracy: 0.8305 - val_loss: 2.4540 - val_accuracy: 0.5452
Epoch 997/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.5770 - accuracy: 0.7872 - val_loss: 2.3311 - val_accuracy: 0.4956
Epoch 998/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.1296 - accuracy: 0.6848 - val_loss: 2.6990 - val_accuracy: 0.5277
Epoch 999/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.5712 - accuracy: 0.8018 - val_loss: 2.3051 - val_accuracy: 0.5656
Epoch 1000/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3944 - accuracy: 0.8523 - val_loss: 2.2982 - val_accuracy: 0.5423
Epoch 1001/1500
22/22 [==============================] - 0s 5ms/step - loss: 0.3521 - accuracy: 0.8666 - val_loss: 2.1940 - val_accuracy: 0.5510
Epoch 1002/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3705 - accuracy: 0.8665 - val_loss: 2.2138 - val_accuracy: 0.5569
Epoch 1003/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2634 - accuracy: 0.9088 - val_loss: 2.4000 - val_accuracy: 0.5306
Epoch 1004/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2724 - accuracy: 0.9010 - val_loss: 2.2561 - val_accuracy: 0.5131
Epoch 1005/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2851 - accuracy: 0.8966 - val_loss: 2.1982 - val_accuracy: 0.5598
Epoch 1006/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2511 - accuracy: 0.8997 - val_loss: 2.3054 - val_accuracy: 0.5510
Epoch 1007/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2221 - accuracy: 0.9311 - val_loss: 2.4155 - val_accuracy: 0.5598
Epoch 1008/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2294 - accuracy: 0.9196 - val_loss: 2.2779 - val_accuracy: 0.5714
Epoch 1009/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3583 - accuracy: 0.8674 - val_loss: 2.6289 - val_accuracy: 0.5248
Epoch 1010/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3835 - accuracy: 0.8622 - val_loss: 2.2547 - val_accuracy: 0.5510
Epoch 1011/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3345 - accuracy: 0.8800 - val_loss: 2.1946 - val_accuracy: 0.5569
Epoch 1012/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3556 - accuracy: 0.8687 - val_loss: 2.3866 - val_accuracy: 0.5569
Epoch 1013/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3761 - accuracy: 0.8662 - val_loss: 2.3584 - val_accuracy: 0.5364
Epoch 1014/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.6961 - accuracy: 0.7528 - val_loss: 2.7398 - val_accuracy: 0.5219
Epoch 1015/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.4923 - accuracy: 0.8051 - val_loss: 2.3872 - val_accuracy: 0.5335
Epoch 1016/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3093 - accuracy: 0.8751 - val_loss: 2.3422 - val_accuracy: 0.5481
Epoch 1017/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2464 - accuracy: 0.9054 - val_loss: 2.5074 - val_accuracy: 0.5364
Epoch 1018/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2773 - accuracy: 0.9035 - val_loss: 2.3419 - val_accuracy: 0.5569
Epoch 1019/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2780 - accuracy: 0.9021 - val_loss: 2.4211 - val_accuracy: 0.5277
Epoch 1020/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3516 - accuracy: 0.8632 - val_loss: 2.5447 - val_accuracy: 0.5306
Epoch 1021/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3093 - accuracy: 0.8817 - val_loss: 2.7095 - val_accuracy: 0.5452
Epoch 1022/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2335 - accuracy: 0.9205 - val_loss: 2.5437 - val_accuracy: 0.5394
Epoch 1023/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2433 - accuracy: 0.9117 - val_loss: 2.4491 - val_accuracy: 0.5481
Epoch 1024/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2806 - accuracy: 0.8989 - val_loss: 2.3006 - val_accuracy: 0.5452
Epoch 1025/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2510 - accuracy: 0.9057 - val_loss: 3.0924 - val_accuracy: 0.5160
Epoch 1026/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3668 - accuracy: 0.8565 - val_loss: 2.8230 - val_accuracy: 0.5160
Epoch 1027/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2839 - accuracy: 0.8926 - val_loss: 2.3943 - val_accuracy: 0.5510
Epoch 1028/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2790 - accuracy: 0.8960 - val_loss: 2.5559 - val_accuracy: 0.5569
Epoch 1029/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2379 - accuracy: 0.9108 - val_loss: 2.5663 - val_accuracy: 0.5160
Epoch 1030/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2448 - accuracy: 0.9141 - val_loss: 2.8105 - val_accuracy: 0.5452
Epoch 1031/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2892 - accuracy: 0.8906 - val_loss: 2.6974 - val_accuracy: 0.5364
Epoch 1032/1500
22/22 [==============================] - 0s 5ms/step - loss: 0.2944 - accuracy: 0.8845 - val_loss: 2.5020 - val_accuracy: 0.5598
Epoch 1033/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3099 - accuracy: 0.8773 - val_loss: 2.2630 - val_accuracy: 0.5627
Epoch 1034/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3117 - accuracy: 0.8913 - val_loss: 2.8406 - val_accuracy: 0.5131
Epoch 1035/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.4169 - accuracy: 0.8253 - val_loss: 2.5332 - val_accuracy: 0.5452
Epoch 1036/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.4156 - accuracy: 0.8336 - val_loss: 2.3469 - val_accuracy: 0.5394
Epoch 1037/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2776 - accuracy: 0.8919 - val_loss: 2.7779 - val_accuracy: 0.5277
Epoch 1038/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3320 - accuracy: 0.8870 - val_loss: 2.7703 - val_accuracy: 0.5335
Epoch 1039/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3527 - accuracy: 0.8670 - val_loss: 2.5833 - val_accuracy: 0.5277
Epoch 1040/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2681 - accuracy: 0.9041 - val_loss: 2.5598 - val_accuracy: 0.5685
Epoch 1041/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2686 - accuracy: 0.8996 - val_loss: 2.2233 - val_accuracy: 0.5452
Epoch 1042/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2612 - accuracy: 0.8983 - val_loss: 2.6389 - val_accuracy: 0.5306
Epoch 1043/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3505 - accuracy: 0.8623 - val_loss: 2.5136 - val_accuracy: 0.5598
Epoch 1044/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3106 - accuracy: 0.8801 - val_loss: 2.5485 - val_accuracy: 0.5277
Epoch 1045/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3900 - accuracy: 0.8581 - val_loss: 2.4939 - val_accuracy: 0.5452
Epoch 1046/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2522 - accuracy: 0.9004 - val_loss: 2.7666 - val_accuracy: 0.5277
Epoch 1047/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2550 - accuracy: 0.9022 - val_loss: 2.3570 - val_accuracy: 0.5598
Epoch 1048/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2876 - accuracy: 0.9003 - val_loss: 2.3978 - val_accuracy: 0.5743
Epoch 1049/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3369 - accuracy: 0.8716 - val_loss: 2.7227 - val_accuracy: 0.5394
Epoch 1050/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3403 - accuracy: 0.8791 - val_loss: 2.3789 - val_accuracy: 0.5423
Epoch 1051/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3575 - accuracy: 0.8655 - val_loss: 2.5473 - val_accuracy: 0.5656
Epoch 1052/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3016 - accuracy: 0.8760 - val_loss: 2.5123 - val_accuracy: 0.5510
Epoch 1053/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2970 - accuracy: 0.8890 - val_loss: 2.4592 - val_accuracy: 0.5773
Epoch 1054/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3181 - accuracy: 0.8910 - val_loss: 2.7233 - val_accuracy: 0.4956
Epoch 1055/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3507 - accuracy: 0.8559 - val_loss: 2.3533 - val_accuracy: 0.5656
Epoch 1056/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2293 - accuracy: 0.9190 - val_loss: 2.4393 - val_accuracy: 0.5598
Epoch 1057/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2137 - accuracy: 0.9240 - val_loss: 2.3532 - val_accuracy: 0.5773
Epoch 1058/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2582 - accuracy: 0.9147 - val_loss: 2.6019 - val_accuracy: 0.5598
Epoch 1059/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3535 - accuracy: 0.8667 - val_loss: 2.4458 - val_accuracy: 0.5714
Epoch 1060/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3024 - accuracy: 0.8911 - val_loss: 2.3505 - val_accuracy: 0.5569
Epoch 1061/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3119 - accuracy: 0.8860 - val_loss: 2.5646 - val_accuracy: 0.5481
Epoch 1062/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3677 - accuracy: 0.8655 - val_loss: 2.4936 - val_accuracy: 0.5423
Epoch 1063/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.4899 - accuracy: 0.8077 - val_loss: 2.7114 - val_accuracy: 0.5219
Epoch 1064/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.4178 - accuracy: 0.8371 - val_loss: 2.3508 - val_accuracy: 0.5714
Epoch 1065/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.4135 - accuracy: 0.8382 - val_loss: 2.7726 - val_accuracy: 0.5510
Epoch 1066/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3094 - accuracy: 0.8789 - val_loss: 2.6487 - val_accuracy: 0.5364
Epoch 1067/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3759 - accuracy: 0.8641 - val_loss: 2.4633 - val_accuracy: 0.5481
Epoch 1068/1500
22/22 [==============================] - 0s 5ms/step - loss: 0.3613 - accuracy: 0.8634 - val_loss: 3.1006 - val_accuracy: 0.5219
Epoch 1069/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3918 - accuracy: 0.8572 - val_loss: 2.8099 - val_accuracy: 0.5539
Epoch 1070/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.5486 - accuracy: 0.8124 - val_loss: 2.7294 - val_accuracy: 0.5190
Epoch 1071/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.6900 - accuracy: 0.7724 - val_loss: 2.6701 - val_accuracy: 0.5219
Epoch 1072/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.5272 - accuracy: 0.8059 - val_loss: 3.0943 - val_accuracy: 0.5394
Epoch 1073/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.4373 - accuracy: 0.8329 - val_loss: 2.3945 - val_accuracy: 0.5539
Epoch 1074/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3096 - accuracy: 0.8924 - val_loss: 2.3964 - val_accuracy: 0.5277
Epoch 1075/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2885 - accuracy: 0.8999 - val_loss: 2.2183 - val_accuracy: 0.5364
Epoch 1076/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3952 - accuracy: 0.8547 - val_loss: 2.1777 - val_accuracy: 0.5627
Epoch 1077/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3168 - accuracy: 0.8850 - val_loss: 2.4122 - val_accuracy: 0.5773
Epoch 1078/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2169 - accuracy: 0.9245 - val_loss: 2.4063 - val_accuracy: 0.5481
Epoch 1079/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2303 - accuracy: 0.9183 - val_loss: 2.4171 - val_accuracy: 0.5627
Epoch 1080/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2093 - accuracy: 0.9283 - val_loss: 2.5609 - val_accuracy: 0.5481
Epoch 1081/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2179 - accuracy: 0.9182 - val_loss: 2.2962 - val_accuracy: 0.5656
Epoch 1082/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2016 - accuracy: 0.9204 - val_loss: 2.6759 - val_accuracy: 0.5394
Epoch 1083/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3038 - accuracy: 0.8780 - val_loss: 2.7098 - val_accuracy: 0.5335
Epoch 1084/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2686 - accuracy: 0.9035 - val_loss: 2.4931 - val_accuracy: 0.5306
Epoch 1085/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2144 - accuracy: 0.9147 - val_loss: 2.4860 - val_accuracy: 0.5656
Epoch 1086/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2200 - accuracy: 0.9217 - val_loss: 2.4102 - val_accuracy: 0.5394
Epoch 1087/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2970 - accuracy: 0.8901 - val_loss: 2.8345 - val_accuracy: 0.5277
Epoch 1088/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3004 - accuracy: 0.8936 - val_loss: 2.7491 - val_accuracy: 0.5423
Epoch 1089/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.5686 - accuracy: 0.8139 - val_loss: 2.9298 - val_accuracy: 0.4985
Epoch 1090/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.5173 - accuracy: 0.8142 - val_loss: 3.0622 - val_accuracy: 0.5044
Epoch 1091/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3963 - accuracy: 0.8459 - val_loss: 2.5776 - val_accuracy: 0.5335
Epoch 1092/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3799 - accuracy: 0.8462 - val_loss: 2.6174 - val_accuracy: 0.5539
Epoch 1093/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.6214 - accuracy: 0.8092 - val_loss: 3.0361 - val_accuracy: 0.5102
Epoch 1094/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.1791 - accuracy: 0.6789 - val_loss: 2.5837 - val_accuracy: 0.4956
Epoch 1095/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.6827 - accuracy: 0.7591 - val_loss: 2.2591 - val_accuracy: 0.5423
Epoch 1096/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.5216 - accuracy: 0.8171 - val_loss: 2.1276 - val_accuracy: 0.5539
Epoch 1097/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3528 - accuracy: 0.8699 - val_loss: 2.3027 - val_accuracy: 0.5364
Epoch 1098/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2748 - accuracy: 0.9025 - val_loss: 2.2394 - val_accuracy: 0.5539
Epoch 1099/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2164 - accuracy: 0.9242 - val_loss: 2.3681 - val_accuracy: 0.5656
Epoch 1100/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1870 - accuracy: 0.9471 - val_loss: 2.3445 - val_accuracy: 0.5598
Epoch 1101/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1724 - accuracy: 0.9409 - val_loss: 2.7017 - val_accuracy: 0.5364
Epoch 1102/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1810 - accuracy: 0.9351 - val_loss: 2.3755 - val_accuracy: 0.5714
Epoch 1103/1500
22/22 [==============================] - 0s 6ms/step - loss: 0.1828 - accuracy: 0.9386 - val_loss: 2.3297 - val_accuracy: 0.5569
Epoch 1104/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1881 - accuracy: 0.9397 - val_loss: 2.3118 - val_accuracy: 0.5569
Epoch 1105/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2013 - accuracy: 0.9301 - val_loss: 2.3762 - val_accuracy: 0.5510
Epoch 1106/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1739 - accuracy: 0.9486 - val_loss: 2.6161 - val_accuracy: 0.5598
Epoch 1107/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1808 - accuracy: 0.9370 - val_loss: 2.5683 - val_accuracy: 0.5452
Epoch 1108/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2074 - accuracy: 0.9312 - val_loss: 2.7532 - val_accuracy: 0.5481
Epoch 1109/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1954 - accuracy: 0.9362 - val_loss: 2.4480 - val_accuracy: 0.5539
Epoch 1110/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2014 - accuracy: 0.9317 - val_loss: 2.5150 - val_accuracy: 0.5335
Epoch 1111/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2293 - accuracy: 0.9110 - val_loss: 2.5974 - val_accuracy: 0.5423
Epoch 1112/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1709 - accuracy: 0.9444 - val_loss: 2.8876 - val_accuracy: 0.5364
Epoch 1113/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1651 - accuracy: 0.9447 - val_loss: 2.8149 - val_accuracy: 0.5481
Epoch 1114/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1711 - accuracy: 0.9341 - val_loss: 2.7345 - val_accuracy: 0.5481
Epoch 1115/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1950 - accuracy: 0.9359 - val_loss: 2.4030 - val_accuracy: 0.5598
Epoch 1116/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2347 - accuracy: 0.9099 - val_loss: 2.3525 - val_accuracy: 0.5335
Epoch 1117/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2017 - accuracy: 0.9306 - val_loss: 2.6901 - val_accuracy: 0.5569
Epoch 1118/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.4392 - accuracy: 0.8521 - val_loss: 2.7808 - val_accuracy: 0.5248
Epoch 1119/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.4560 - accuracy: 0.8504 - val_loss: 2.6351 - val_accuracy: 0.5394
Epoch 1120/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3723 - accuracy: 0.8773 - val_loss: 2.8013 - val_accuracy: 0.5190
Epoch 1121/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2609 - accuracy: 0.9068 - val_loss: 2.8290 - val_accuracy: 0.5335
Epoch 1122/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2290 - accuracy: 0.9151 - val_loss: 2.5956 - val_accuracy: 0.5510
Epoch 1123/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3231 - accuracy: 0.8840 - val_loss: 2.1799 - val_accuracy: 0.5364
Epoch 1124/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.4651 - accuracy: 0.8393 - val_loss: 3.2180 - val_accuracy: 0.4665
Epoch 1125/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.5478 - accuracy: 0.8085 - val_loss: 2.5030 - val_accuracy: 0.5394
Epoch 1126/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.4880 - accuracy: 0.8289 - val_loss: 2.6586 - val_accuracy: 0.5335
Epoch 1127/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2650 - accuracy: 0.8945 - val_loss: 2.7696 - val_accuracy: 0.5773
Epoch 1128/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2490 - accuracy: 0.9098 - val_loss: 2.4842 - val_accuracy: 0.5569
Epoch 1129/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3751 - accuracy: 0.8511 - val_loss: 2.5909 - val_accuracy: 0.5510
Epoch 1130/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3426 - accuracy: 0.8737 - val_loss: 3.2792 - val_accuracy: 0.5219
Epoch 1131/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3389 - accuracy: 0.8653 - val_loss: 2.6579 - val_accuracy: 0.5364
Epoch 1132/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1956 - accuracy: 0.9282 - val_loss: 2.8881 - val_accuracy: 0.5481
Epoch 1133/1500
22/22 [==============================] - 0s 5ms/step - loss: 0.2638 - accuracy: 0.9054 - val_loss: 2.6405 - val_accuracy: 0.5423
Epoch 1134/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2715 - accuracy: 0.8928 - val_loss: 2.6374 - val_accuracy: 0.5510
Epoch 1135/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2409 - accuracy: 0.9022 - val_loss: 2.6684 - val_accuracy: 0.5510
Epoch 1136/1500
22/22 [==============================] - 0s 11ms/step - loss: 0.2945 - accuracy: 0.8862 - val_loss: 2.9790 - val_accuracy: 0.5598
Epoch 1137/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2721 - accuracy: 0.9072 - val_loss: 2.7592 - val_accuracy: 0.5364
Epoch 1138/1500
22/22 [==============================] - 0s 9ms/step - loss: 0.4001 - accuracy: 0.8566 - val_loss: 2.9195 - val_accuracy: 0.5190
Epoch 1139/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.7742 - accuracy: 0.7560 - val_loss: 2.6177 - val_accuracy: 0.5190
Epoch 1140/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.6278 - accuracy: 0.7747 - val_loss: 2.5394 - val_accuracy: 0.5394
Epoch 1141/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3052 - accuracy: 0.8815 - val_loss: 2.6791 - val_accuracy: 0.5160
Epoch 1142/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3493 - accuracy: 0.8663 - val_loss: 2.5453 - val_accuracy: 0.5452
Epoch 1143/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2746 - accuracy: 0.9000 - val_loss: 2.7207 - val_accuracy: 0.5394
Epoch 1144/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2632 - accuracy: 0.9031 - val_loss: 2.5575 - val_accuracy: 0.5423
Epoch 1145/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2528 - accuracy: 0.9072 - val_loss: 2.7138 - val_accuracy: 0.5277
Epoch 1146/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2276 - accuracy: 0.9096 - val_loss: 2.8462 - val_accuracy: 0.5598
Epoch 1147/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2109 - accuracy: 0.9116 - val_loss: 2.6747 - val_accuracy: 0.5277
Epoch 1148/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2165 - accuracy: 0.9192 - val_loss: 2.7021 - val_accuracy: 0.5481
Epoch 1149/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1765 - accuracy: 0.9427 - val_loss: 2.4610 - val_accuracy: 0.5685
Epoch 1150/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1680 - accuracy: 0.9421 - val_loss: 2.7049 - val_accuracy: 0.5802
Epoch 1151/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1865 - accuracy: 0.9330 - val_loss: 2.8829 - val_accuracy: 0.5452
Epoch 1152/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1577 - accuracy: 0.9456 - val_loss: 2.7837 - val_accuracy: 0.5539
Epoch 1153/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1475 - accuracy: 0.9578 - val_loss: 2.4774 - val_accuracy: 0.5860
Epoch 1154/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2145 - accuracy: 0.9299 - val_loss: 2.6003 - val_accuracy: 0.5598
Epoch 1155/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1489 - accuracy: 0.9440 - val_loss: 2.8170 - val_accuracy: 0.5569
Epoch 1156/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1452 - accuracy: 0.9519 - val_loss: 2.6881 - val_accuracy: 0.5627
Epoch 1157/1500
22/22 [==============================] - 0s 6ms/step - loss: 0.1368 - accuracy: 0.9629 - val_loss: 2.7657 - val_accuracy: 0.5452
Epoch 1158/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1471 - accuracy: 0.9495 - val_loss: 2.7937 - val_accuracy: 0.5627
Epoch 1159/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2014 - accuracy: 0.9350 - val_loss: 2.7560 - val_accuracy: 0.5452
Epoch 1160/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3162 - accuracy: 0.8819 - val_loss: 3.4500 - val_accuracy: 0.4810
Epoch 1161/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3672 - accuracy: 0.8734 - val_loss: 2.8338 - val_accuracy: 0.5394
Epoch 1162/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3490 - accuracy: 0.8831 - val_loss: 3.0969 - val_accuracy: 0.5190
Epoch 1163/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2917 - accuracy: 0.8901 - val_loss: 2.9473 - val_accuracy: 0.5219
Epoch 1164/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3435 - accuracy: 0.8667 - val_loss: 3.0878 - val_accuracy: 0.5394
Epoch 1165/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.7331 - accuracy: 0.7903 - val_loss: 2.5158 - val_accuracy: 0.5015
Epoch 1166/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.5817 - accuracy: 0.8130 - val_loss: 2.3773 - val_accuracy: 0.5481
Epoch 1167/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2684 - accuracy: 0.9017 - val_loss: 2.4645 - val_accuracy: 0.5569
Epoch 1168/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2020 - accuracy: 0.9266 - val_loss: 2.6489 - val_accuracy: 0.5306
Epoch 1169/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2361 - accuracy: 0.9135 - val_loss: 2.5461 - val_accuracy: 0.5539
Epoch 1170/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1753 - accuracy: 0.9423 - val_loss: 2.4589 - val_accuracy: 0.5714
Epoch 1171/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1429 - accuracy: 0.9537 - val_loss: 2.7774 - val_accuracy: 0.5277
Epoch 1172/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1935 - accuracy: 0.9169 - val_loss: 2.9913 - val_accuracy: 0.5335
Epoch 1173/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1816 - accuracy: 0.9394 - val_loss: 2.7439 - val_accuracy: 0.5569
Epoch 1174/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1608 - accuracy: 0.9425 - val_loss: 2.8844 - val_accuracy: 0.5190
Epoch 1175/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2019 - accuracy: 0.9205 - val_loss: 3.0128 - val_accuracy: 0.5044
Epoch 1176/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1493 - accuracy: 0.9480 - val_loss: 2.9571 - val_accuracy: 0.5423
Epoch 1177/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1117 - accuracy: 0.9630 - val_loss: 2.8903 - val_accuracy: 0.5335
Epoch 1178/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1259 - accuracy: 0.9597 - val_loss: 2.7374 - val_accuracy: 0.5627
Epoch 1179/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1783 - accuracy: 0.9432 - val_loss: 3.1146 - val_accuracy: 0.5306
Epoch 1180/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2153 - accuracy: 0.9201 - val_loss: 2.8694 - val_accuracy: 0.5481
Epoch 1181/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2806 - accuracy: 0.8962 - val_loss: 2.9271 - val_accuracy: 0.5539
Epoch 1182/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3179 - accuracy: 0.8899 - val_loss: 2.9132 - val_accuracy: 0.5364
Epoch 1183/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3507 - accuracy: 0.8767 - val_loss: 3.1644 - val_accuracy: 0.5102
Epoch 1184/1500
22/22 [==============================] - 0s 6ms/step - loss: 0.6100 - accuracy: 0.8109 - val_loss: 3.5409 - val_accuracy: 0.5044
Epoch 1185/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.4848 - accuracy: 0.8412 - val_loss: 2.6307 - val_accuracy: 0.5539
Epoch 1186/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3825 - accuracy: 0.8604 - val_loss: 2.5906 - val_accuracy: 0.5714
Epoch 1187/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3091 - accuracy: 0.8804 - val_loss: 2.6933 - val_accuracy: 0.5627
Epoch 1188/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2188 - accuracy: 0.9124 - val_loss: 2.7475 - val_accuracy: 0.5539
Epoch 1189/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3645 - accuracy: 0.8668 - val_loss: 3.0913 - val_accuracy: 0.5452
Epoch 1190/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.4756 - accuracy: 0.8428 - val_loss: 2.8079 - val_accuracy: 0.5364
Epoch 1191/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.5252 - accuracy: 0.8274 - val_loss: 2.2994 - val_accuracy: 0.5364
Epoch 1192/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3404 - accuracy: 0.8714 - val_loss: 3.0862 - val_accuracy: 0.5306
Epoch 1193/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.4791 - accuracy: 0.8379 - val_loss: 3.0384 - val_accuracy: 0.5044
Epoch 1194/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3687 - accuracy: 0.8693 - val_loss: 2.2958 - val_accuracy: 0.5335
Epoch 1195/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3065 - accuracy: 0.8921 - val_loss: 2.5115 - val_accuracy: 0.5598
Epoch 1196/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1901 - accuracy: 0.9356 - val_loss: 2.8922 - val_accuracy: 0.5423
Epoch 1197/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2142 - accuracy: 0.9223 - val_loss: 2.7858 - val_accuracy: 0.5335
Epoch 1198/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1417 - accuracy: 0.9512 - val_loss: 2.4171 - val_accuracy: 0.5860
Epoch 1199/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1439 - accuracy: 0.9540 - val_loss: 2.5567 - val_accuracy: 0.5598
Epoch 1200/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2082 - accuracy: 0.9174 - val_loss: 2.7656 - val_accuracy: 0.5481
Epoch 1201/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1682 - accuracy: 0.9445 - val_loss: 2.7468 - val_accuracy: 0.5569
Epoch 1202/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1574 - accuracy: 0.9460 - val_loss: 2.7132 - val_accuracy: 0.5598
Epoch 1203/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1699 - accuracy: 0.9460 - val_loss: 2.8826 - val_accuracy: 0.5481
Epoch 1204/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1417 - accuracy: 0.9664 - val_loss: 2.8049 - val_accuracy: 0.5510
Epoch 1205/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1596 - accuracy: 0.9468 - val_loss: 2.7228 - val_accuracy: 0.5889
Epoch 1206/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1175 - accuracy: 0.9690 - val_loss: 2.7142 - val_accuracy: 0.5423
Epoch 1207/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2348 - accuracy: 0.9089 - val_loss: 2.8725 - val_accuracy: 0.5452
Epoch 1208/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1655 - accuracy: 0.9305 - val_loss: 2.7924 - val_accuracy: 0.5627
Epoch 1209/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1518 - accuracy: 0.9506 - val_loss: 2.9712 - val_accuracy: 0.5394
Epoch 1210/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1972 - accuracy: 0.9328 - val_loss: 3.4323 - val_accuracy: 0.5131
Epoch 1211/1500
22/22 [==============================] - 0s 6ms/step - loss: 0.7195 - accuracy: 0.7896 - val_loss: 2.5393 - val_accuracy: 0.5160
Epoch 1212/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.4146 - accuracy: 0.8522 - val_loss: 2.9629 - val_accuracy: 0.5394
Epoch 1213/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.4728 - accuracy: 0.8313 - val_loss: 3.3465 - val_accuracy: 0.4898
Epoch 1214/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.8610 - accuracy: 0.7624 - val_loss: 2.7600 - val_accuracy: 0.5248
Epoch 1215/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.5998 - accuracy: 0.8036 - val_loss: 2.4160 - val_accuracy: 0.5510
Epoch 1216/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2861 - accuracy: 0.8964 - val_loss: 2.3842 - val_accuracy: 0.5190
Epoch 1217/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.5940 - accuracy: 0.8083 - val_loss: 2.4693 - val_accuracy: 0.5569
Epoch 1218/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.5385 - accuracy: 0.8066 - val_loss: 2.2114 - val_accuracy: 0.5977
Epoch 1219/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2681 - accuracy: 0.9055 - val_loss: 2.4403 - val_accuracy: 0.5452
Epoch 1220/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2215 - accuracy: 0.9266 - val_loss: 2.4242 - val_accuracy: 0.5539
Epoch 1221/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3557 - accuracy: 0.8800 - val_loss: 2.5221 - val_accuracy: 0.5598
Epoch 1222/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1910 - accuracy: 0.9384 - val_loss: 2.3849 - val_accuracy: 0.5860
Epoch 1223/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1345 - accuracy: 0.9588 - val_loss: 2.4394 - val_accuracy: 0.5831
Epoch 1224/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1682 - accuracy: 0.9370 - val_loss: 2.8224 - val_accuracy: 0.5364
Epoch 1225/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1662 - accuracy: 0.9386 - val_loss: 2.6110 - val_accuracy: 0.5569
Epoch 1226/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1550 - accuracy: 0.9483 - val_loss: 2.6240 - val_accuracy: 0.5569
Epoch 1227/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1427 - accuracy: 0.9528 - val_loss: 2.7709 - val_accuracy: 0.5452
Epoch 1228/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1153 - accuracy: 0.9637 - val_loss: 2.7960 - val_accuracy: 0.5481
Epoch 1229/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1179 - accuracy: 0.9704 - val_loss: 3.0057 - val_accuracy: 0.5248
Epoch 1230/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1088 - accuracy: 0.9750 - val_loss: 2.7661 - val_accuracy: 0.5743
Epoch 1231/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1303 - accuracy: 0.9589 - val_loss: 2.7975 - val_accuracy: 0.5714
Epoch 1232/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1407 - accuracy: 0.9601 - val_loss: 2.8800 - val_accuracy: 0.5452
Epoch 1233/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1114 - accuracy: 0.9602 - val_loss: 2.5931 - val_accuracy: 0.5685
Epoch 1234/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.0989 - accuracy: 0.9707 - val_loss: 2.8866 - val_accuracy: 0.5569
Epoch 1235/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1036 - accuracy: 0.9707 - val_loss: 2.8782 - val_accuracy: 0.5510
Epoch 1236/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1088 - accuracy: 0.9673 - val_loss: 3.0630 - val_accuracy: 0.5219
Epoch 1237/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.0989 - accuracy: 0.9716 - val_loss: 2.9110 - val_accuracy: 0.5539
Epoch 1238/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.0997 - accuracy: 0.9680 - val_loss: 3.2444 - val_accuracy: 0.5277
Epoch 1239/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1305 - accuracy: 0.9560 - val_loss: 3.2061 - val_accuracy: 0.5277
Epoch 1240/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1752 - accuracy: 0.9315 - val_loss: 3.1900 - val_accuracy: 0.5510
Epoch 1241/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1716 - accuracy: 0.9373 - val_loss: 2.8333 - val_accuracy: 0.5656
Epoch 1242/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1514 - accuracy: 0.9384 - val_loss: 3.2063 - val_accuracy: 0.5452
Epoch 1243/1500
22/22 [==============================] - 0s 5ms/step - loss: 0.2021 - accuracy: 0.9266 - val_loss: 3.2356 - val_accuracy: 0.5219
Epoch 1244/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2789 - accuracy: 0.8978 - val_loss: 3.1916 - val_accuracy: 0.5015
Epoch 1245/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.4100 - accuracy: 0.8637 - val_loss: 2.9254 - val_accuracy: 0.5452
Epoch 1246/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3961 - accuracy: 0.8755 - val_loss: 3.0054 - val_accuracy: 0.5073
Epoch 1247/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.5432 - accuracy: 0.8299 - val_loss: 3.5906 - val_accuracy: 0.4840
Epoch 1248/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.5943 - accuracy: 0.8063 - val_loss: 2.9918 - val_accuracy: 0.5306
Epoch 1249/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.4746 - accuracy: 0.8389 - val_loss: 2.5288 - val_accuracy: 0.5656
Epoch 1250/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.4179 - accuracy: 0.8588 - val_loss: 2.9613 - val_accuracy: 0.5335
Epoch 1251/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2070 - accuracy: 0.9326 - val_loss: 2.8676 - val_accuracy: 0.5423
Epoch 1252/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1325 - accuracy: 0.9574 - val_loss: 3.0171 - val_accuracy: 0.5219
Epoch 1253/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1164 - accuracy: 0.9716 - val_loss: 2.7024 - val_accuracy: 0.5423
Epoch 1254/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1606 - accuracy: 0.9410 - val_loss: 2.9718 - val_accuracy: 0.5481
Epoch 1255/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1699 - accuracy: 0.9446 - val_loss: 3.5425 - val_accuracy: 0.4985
Epoch 1256/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2928 - accuracy: 0.8883 - val_loss: 2.9203 - val_accuracy: 0.5510
Epoch 1257/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1592 - accuracy: 0.9316 - val_loss: 3.0346 - val_accuracy: 0.5248
Epoch 1258/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1574 - accuracy: 0.9473 - val_loss: 3.1132 - val_accuracy: 0.5335
Epoch 1259/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1299 - accuracy: 0.9602 - val_loss: 3.2936 - val_accuracy: 0.5219
Epoch 1260/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1356 - accuracy: 0.9542 - val_loss: 2.7704 - val_accuracy: 0.5219
Epoch 1261/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.0970 - accuracy: 0.9665 - val_loss: 2.9705 - val_accuracy: 0.5539
Epoch 1262/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.0989 - accuracy: 0.9700 - val_loss: 3.0254 - val_accuracy: 0.5423
Epoch 1263/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1003 - accuracy: 0.9694 - val_loss: 3.0851 - val_accuracy: 0.5452
Epoch 1264/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.0905 - accuracy: 0.9746 - val_loss: 3.0486 - val_accuracy: 0.5539
Epoch 1265/1500
22/22 [==============================] - 0s 5ms/step - loss: 0.1054 - accuracy: 0.9684 - val_loss: 3.0414 - val_accuracy: 0.5569
Epoch 1266/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1023 - accuracy: 0.9685 - val_loss: 3.0582 - val_accuracy: 0.5685
Epoch 1267/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.0989 - accuracy: 0.9696 - val_loss: 3.1582 - val_accuracy: 0.5364
Epoch 1268/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3089 - accuracy: 0.8983 - val_loss: 3.1520 - val_accuracy: 0.5335
Epoch 1269/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2571 - accuracy: 0.9066 - val_loss: 3.0742 - val_accuracy: 0.5160
Epoch 1270/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1320 - accuracy: 0.9604 - val_loss: 3.4142 - val_accuracy: 0.5160
Epoch 1271/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2253 - accuracy: 0.9197 - val_loss: 3.2659 - val_accuracy: 0.5364
Epoch 1272/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.8532 - accuracy: 0.7762 - val_loss: 2.8197 - val_accuracy: 0.4898
Epoch 1273/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.6535 - accuracy: 0.8052 - val_loss: 3.1527 - val_accuracy: 0.4898
Epoch 1274/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.1602 - accuracy: 0.7132 - val_loss: 2.8637 - val_accuracy: 0.5481
Epoch 1275/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.6392 - accuracy: 0.7864 - val_loss: 2.2861 - val_accuracy: 0.5248
Epoch 1276/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3397 - accuracy: 0.8672 - val_loss: 2.7867 - val_accuracy: 0.5219
Epoch 1277/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3829 - accuracy: 0.8639 - val_loss: 2.5478 - val_accuracy: 0.5539
Epoch 1278/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3360 - accuracy: 0.8751 - val_loss: 2.5347 - val_accuracy: 0.5481
Epoch 1279/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2054 - accuracy: 0.9281 - val_loss: 2.5604 - val_accuracy: 0.5539
Epoch 1280/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1600 - accuracy: 0.9437 - val_loss: 2.9059 - val_accuracy: 0.5160
Epoch 1281/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1465 - accuracy: 0.9535 - val_loss: 2.4002 - val_accuracy: 0.5481
Epoch 1282/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1151 - accuracy: 0.9652 - val_loss: 2.5333 - val_accuracy: 0.5539
Epoch 1283/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1180 - accuracy: 0.9642 - val_loss: 2.6152 - val_accuracy: 0.5248
Epoch 1284/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1031 - accuracy: 0.9701 - val_loss: 2.7262 - val_accuracy: 0.5335
Epoch 1285/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1294 - accuracy: 0.9519 - val_loss: 2.7732 - val_accuracy: 0.5481
Epoch 1286/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1127 - accuracy: 0.9647 - val_loss: 2.6631 - val_accuracy: 0.5656
Epoch 1287/1500
22/22 [==============================] - 0s 5ms/step - loss: 0.1098 - accuracy: 0.9727 - val_loss: 2.8611 - val_accuracy: 0.5394
Epoch 1288/1500
22/22 [==============================] - 0s 15ms/step - loss: 0.0792 - accuracy: 0.9769 - val_loss: 2.8876 - val_accuracy: 0.5248
Epoch 1289/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1123 - accuracy: 0.9617 - val_loss: 2.8461 - val_accuracy: 0.5481
Epoch 1290/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.0893 - accuracy: 0.9781 - val_loss: 2.9593 - val_accuracy: 0.5598
Epoch 1291/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1191 - accuracy: 0.9661 - val_loss: 3.0148 - val_accuracy: 0.5423
Epoch 1292/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.0997 - accuracy: 0.9685 - val_loss: 2.8879 - val_accuracy: 0.5539
Epoch 1293/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1497 - accuracy: 0.9492 - val_loss: 2.9627 - val_accuracy: 0.5306
Epoch 1294/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1477 - accuracy: 0.9493 - val_loss: 3.0110 - val_accuracy: 0.5627
Epoch 1295/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.0911 - accuracy: 0.9759 - val_loss: 2.9803 - val_accuracy: 0.5569
Epoch 1296/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1292 - accuracy: 0.9586 - val_loss: 2.9488 - val_accuracy: 0.5481
Epoch 1297/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1260 - accuracy: 0.9590 - val_loss: 3.5475 - val_accuracy: 0.5102
Epoch 1298/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3066 - accuracy: 0.9113 - val_loss: 3.3759 - val_accuracy: 0.5073
Epoch 1299/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.4476 - accuracy: 0.8469 - val_loss: 2.7574 - val_accuracy: 0.5423
Epoch 1300/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2804 - accuracy: 0.9080 - val_loss: 3.1758 - val_accuracy: 0.5452
Epoch 1301/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3514 - accuracy: 0.8791 - val_loss: 2.9332 - val_accuracy: 0.5481
Epoch 1302/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2936 - accuracy: 0.9023 - val_loss: 3.1146 - val_accuracy: 0.5190
Epoch 1303/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3388 - accuracy: 0.8847 - val_loss: 2.7772 - val_accuracy: 0.5364
Epoch 1304/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2828 - accuracy: 0.8986 - val_loss: 2.9942 - val_accuracy: 0.5277
Epoch 1305/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1614 - accuracy: 0.9494 - val_loss: 2.8328 - val_accuracy: 0.5569
Epoch 1306/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1601 - accuracy: 0.9436 - val_loss: 3.6715 - val_accuracy: 0.5160
Epoch 1307/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.6128 - accuracy: 0.8016 - val_loss: 3.7355 - val_accuracy: 0.4665
Epoch 1308/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.0448 - accuracy: 0.7097 - val_loss: 2.9621 - val_accuracy: 0.5627
Epoch 1309/1500
22/22 [==============================] - 0s 5ms/step - loss: 0.6454 - accuracy: 0.8007 - val_loss: 2.7554 - val_accuracy: 0.5277
Epoch 1310/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.5497 - accuracy: 0.8009 - val_loss: 3.0508 - val_accuracy: 0.4985
Epoch 1311/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.5585 - accuracy: 0.8137 - val_loss: 2.4048 - val_accuracy: 0.5598
Epoch 1312/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3557 - accuracy: 0.8736 - val_loss: 2.6728 - val_accuracy: 0.5569
Epoch 1313/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2434 - accuracy: 0.9104 - val_loss: 2.6325 - val_accuracy: 0.5569
Epoch 1314/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1981 - accuracy: 0.9342 - val_loss: 2.5075 - val_accuracy: 0.5627
Epoch 1315/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2488 - accuracy: 0.9126 - val_loss: 2.4612 - val_accuracy: 0.5569
Epoch 1316/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1394 - accuracy: 0.9599 - val_loss: 2.6124 - val_accuracy: 0.5656
Epoch 1317/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1044 - accuracy: 0.9702 - val_loss: 2.7918 - val_accuracy: 0.5452
Epoch 1318/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.0993 - accuracy: 0.9644 - val_loss: 3.0074 - val_accuracy: 0.5423
Epoch 1319/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1676 - accuracy: 0.9399 - val_loss: 2.7891 - val_accuracy: 0.5219
Epoch 1320/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.0988 - accuracy: 0.9766 - val_loss: 2.8396 - val_accuracy: 0.5539
Epoch 1321/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.0849 - accuracy: 0.9801 - val_loss: 2.8265 - val_accuracy: 0.5481
Epoch 1322/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.0911 - accuracy: 0.9732 - val_loss: 2.9801 - val_accuracy: 0.5539
Epoch 1323/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.0869 - accuracy: 0.9762 - val_loss: 2.9118 - val_accuracy: 0.5277
Epoch 1324/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1252 - accuracy: 0.9642 - val_loss: 2.8567 - val_accuracy: 0.5452
Epoch 1325/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1184 - accuracy: 0.9566 - val_loss: 3.3006 - val_accuracy: 0.5131
Epoch 1326/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1541 - accuracy: 0.9477 - val_loss: 2.8458 - val_accuracy: 0.5598
Epoch 1327/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1191 - accuracy: 0.9627 - val_loss: 2.8598 - val_accuracy: 0.5394
Epoch 1328/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.0776 - accuracy: 0.9823 - val_loss: 2.8733 - val_accuracy: 0.5598
Epoch 1329/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.0659 - accuracy: 0.9823 - val_loss: 3.0269 - val_accuracy: 0.5656
Epoch 1330/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.0783 - accuracy: 0.9806 - val_loss: 2.9261 - val_accuracy: 0.5423
Epoch 1331/1500
22/22 [==============================] - 0s 5ms/step - loss: 0.0694 - accuracy: 0.9868 - val_loss: 3.0448 - val_accuracy: 0.5569
Epoch 1332/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.0602 - accuracy: 0.9837 - val_loss: 3.2264 - val_accuracy: 0.5481
Epoch 1333/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.0785 - accuracy: 0.9789 - val_loss: 3.1178 - val_accuracy: 0.5452
Epoch 1334/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.0887 - accuracy: 0.9731 - val_loss: 2.9387 - val_accuracy: 0.5423
Epoch 1335/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1085 - accuracy: 0.9558 - val_loss: 3.0463 - val_accuracy: 0.5394
Epoch 1336/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.0888 - accuracy: 0.9709 - val_loss: 3.3171 - val_accuracy: 0.5306
Epoch 1337/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1032 - accuracy: 0.9670 - val_loss: 3.6754 - val_accuracy: 0.5073
Epoch 1338/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.5915 - accuracy: 0.8286 - val_loss: 3.6252 - val_accuracy: 0.4490
Epoch 1339/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.6139 - accuracy: 0.6062 - val_loss: 2.3145 - val_accuracy: 0.5015
Epoch 1340/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.6592 - accuracy: 0.7798 - val_loss: 1.9546 - val_accuracy: 0.5481
Epoch 1341/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3369 - accuracy: 0.8779 - val_loss: 2.0258 - val_accuracy: 0.5481
Epoch 1342/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2009 - accuracy: 0.9261 - val_loss: 2.0484 - val_accuracy: 0.5685
Epoch 1343/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1511 - accuracy: 0.9511 - val_loss: 2.1904 - val_accuracy: 0.5627
Epoch 1344/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1008 - accuracy: 0.9764 - val_loss: 2.5318 - val_accuracy: 0.5598
Epoch 1345/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1057 - accuracy: 0.9684 - val_loss: 2.3952 - val_accuracy: 0.5714
Epoch 1346/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1037 - accuracy: 0.9718 - val_loss: 2.4700 - val_accuracy: 0.5714
Epoch 1347/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.0719 - accuracy: 0.9824 - val_loss: 2.4133 - val_accuracy: 0.5831
Epoch 1348/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.0757 - accuracy: 0.9813 - val_loss: 2.4349 - val_accuracy: 0.5802
Epoch 1349/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.0750 - accuracy: 0.9876 - val_loss: 2.4597 - val_accuracy: 0.5656
Epoch 1350/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.0662 - accuracy: 0.9900 - val_loss: 2.7336 - val_accuracy: 0.5452
Epoch 1351/1500
22/22 [==============================] - 0s 5ms/step - loss: 0.0715 - accuracy: 0.9820 - val_loss: 2.6156 - val_accuracy: 0.5627
Epoch 1352/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.0653 - accuracy: 0.9839 - val_loss: 2.6146 - val_accuracy: 0.5569
Epoch 1353/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.0668 - accuracy: 0.9856 - val_loss: 2.7742 - val_accuracy: 0.5627
Epoch 1354/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.0704 - accuracy: 0.9859 - val_loss: 2.7908 - val_accuracy: 0.5539
Epoch 1355/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.0553 - accuracy: 0.9879 - val_loss: 2.7918 - val_accuracy: 0.5569
Epoch 1356/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.0600 - accuracy: 0.9894 - val_loss: 2.7539 - val_accuracy: 0.5714
Epoch 1357/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.0631 - accuracy: 0.9878 - val_loss: 2.8162 - val_accuracy: 0.5627
Epoch 1358/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.0586 - accuracy: 0.9868 - val_loss: 2.8623 - val_accuracy: 0.5598
Epoch 1359/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.0610 - accuracy: 0.9873 - val_loss: 2.7926 - val_accuracy: 0.5802
Epoch 1360/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.0651 - accuracy: 0.9837 - val_loss: 2.6934 - val_accuracy: 0.5627
Epoch 1361/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.0593 - accuracy: 0.9903 - val_loss: 2.9968 - val_accuracy: 0.5510
Epoch 1362/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.0945 - accuracy: 0.9668 - val_loss: 2.8808 - val_accuracy: 0.5714
Epoch 1363/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1086 - accuracy: 0.9611 - val_loss: 2.8535 - val_accuracy: 0.5598
Epoch 1364/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3225 - accuracy: 0.8902 - val_loss: 2.8044 - val_accuracy: 0.5539
Epoch 1365/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2057 - accuracy: 0.9287 - val_loss: 2.7393 - val_accuracy: 0.5773
Epoch 1366/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2776 - accuracy: 0.8974 - val_loss: 2.9026 - val_accuracy: 0.5539
Epoch 1367/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3326 - accuracy: 0.8671 - val_loss: 3.0671 - val_accuracy: 0.5481
Epoch 1368/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3961 - accuracy: 0.8724 - val_loss: 3.1022 - val_accuracy: 0.5452
Epoch 1369/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.4130 - accuracy: 0.8554 - val_loss: 3.2628 - val_accuracy: 0.4956
Epoch 1370/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.4324 - accuracy: 0.8502 - val_loss: 2.6820 - val_accuracy: 0.5773
Epoch 1371/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3786 - accuracy: 0.8742 - val_loss: 3.0566 - val_accuracy: 0.5102
Epoch 1372/1500
22/22 [==============================] - 0s 5ms/step - loss: 0.2632 - accuracy: 0.8896 - val_loss: 2.6674 - val_accuracy: 0.5481
Epoch 1373/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1449 - accuracy: 0.9519 - val_loss: 2.4802 - val_accuracy: 0.5802
Epoch 1374/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1365 - accuracy: 0.9553 - val_loss: 2.4923 - val_accuracy: 0.5510
Epoch 1375/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.0823 - accuracy: 0.9802 - val_loss: 2.6623 - val_accuracy: 0.5394
Epoch 1376/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.0823 - accuracy: 0.9773 - val_loss: 2.6946 - val_accuracy: 0.5510
Epoch 1377/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.0896 - accuracy: 0.9737 - val_loss: 2.5293 - val_accuracy: 0.5743
Epoch 1378/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.0663 - accuracy: 0.9892 - val_loss: 2.6584 - val_accuracy: 0.5598
Epoch 1379/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.0838 - accuracy: 0.9755 - val_loss: 2.6292 - val_accuracy: 0.5627
Epoch 1380/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.0706 - accuracy: 0.9836 - val_loss: 2.8042 - val_accuracy: 0.5802
Epoch 1381/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.0793 - accuracy: 0.9787 - val_loss: 2.7615 - val_accuracy: 0.5656
Epoch 1382/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.0733 - accuracy: 0.9754 - val_loss: 3.0426 - val_accuracy: 0.5423
Epoch 1383/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.0791 - accuracy: 0.9730 - val_loss: 2.7564 - val_accuracy: 0.5773
Epoch 1384/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.0897 - accuracy: 0.9696 - val_loss: 2.8473 - val_accuracy: 0.5627
Epoch 1385/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.0698 - accuracy: 0.9814 - val_loss: 2.9423 - val_accuracy: 0.5539
Epoch 1386/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.0889 - accuracy: 0.9740 - val_loss: 2.8950 - val_accuracy: 0.5656
Epoch 1387/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.0939 - accuracy: 0.9693 - val_loss: 2.7618 - val_accuracy: 0.5860
Epoch 1388/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.0959 - accuracy: 0.9644 - val_loss: 2.8658 - val_accuracy: 0.5743
Epoch 1389/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.0691 - accuracy: 0.9808 - val_loss: 2.8616 - val_accuracy: 0.5685
Epoch 1390/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.0543 - accuracy: 0.9895 - val_loss: 2.8183 - val_accuracy: 0.5860
Epoch 1391/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.0857 - accuracy: 0.9691 - val_loss: 2.9383 - val_accuracy: 0.5802
Epoch 1392/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.0776 - accuracy: 0.9776 - val_loss: 3.1201 - val_accuracy: 0.5510
Epoch 1393/1500
22/22 [==============================] - 0s 9ms/step - loss: 0.1835 - accuracy: 0.9332 - val_loss: 3.6733 - val_accuracy: 0.5190
Epoch 1394/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3527 - accuracy: 0.8782 - val_loss: 3.7738 - val_accuracy: 0.5131
Epoch 1395/1500
22/22 [==============================] - 0s 3ms/step - loss: 1.5170 - accuracy: 0.6729 - val_loss: 2.7991 - val_accuracy: 0.5364
Epoch 1396/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.9140 - accuracy: 0.7767 - val_loss: 3.2051 - val_accuracy: 0.5073
Epoch 1397/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.8219 - accuracy: 0.7592 - val_loss: 2.3729 - val_accuracy: 0.5364
Epoch 1398/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.4925 - accuracy: 0.8177 - val_loss: 2.6032 - val_accuracy: 0.5277
Epoch 1399/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3228 - accuracy: 0.8782 - val_loss: 2.6948 - val_accuracy: 0.5423
Epoch 1400/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2358 - accuracy: 0.9113 - val_loss: 2.4452 - val_accuracy: 0.5481
Epoch 1401/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1957 - accuracy: 0.9361 - val_loss: 2.3886 - val_accuracy: 0.5569
Epoch 1402/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2956 - accuracy: 0.8971 - val_loss: 2.4288 - val_accuracy: 0.5364
Epoch 1403/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1758 - accuracy: 0.9457 - val_loss: 2.2926 - val_accuracy: 0.5714
Epoch 1404/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1257 - accuracy: 0.9541 - val_loss: 2.3732 - val_accuracy: 0.5627
Epoch 1405/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1026 - accuracy: 0.9650 - val_loss: 2.4696 - val_accuracy: 0.5539
Epoch 1406/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.0907 - accuracy: 0.9781 - val_loss: 2.5156 - val_accuracy: 0.5452
Epoch 1407/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.0695 - accuracy: 0.9822 - val_loss: 2.6482 - val_accuracy: 0.5539
Epoch 1408/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.0537 - accuracy: 0.9918 - val_loss: 2.6274 - val_accuracy: 0.5569
Epoch 1409/1500
22/22 [==============================] - 0s 6ms/step - loss: 0.0659 - accuracy: 0.9854 - val_loss: 2.5716 - val_accuracy: 0.5569
Epoch 1410/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.0770 - accuracy: 0.9779 - val_loss: 2.7510 - val_accuracy: 0.5510
Epoch 1411/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.0601 - accuracy: 0.9866 - val_loss: 2.6099 - val_accuracy: 0.5802
Epoch 1412/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.0565 - accuracy: 0.9863 - val_loss: 2.8365 - val_accuracy: 0.5394
Epoch 1413/1500
22/22 [==============================] - 0s 6ms/step - loss: 0.0528 - accuracy: 0.9884 - val_loss: 2.7688 - val_accuracy: 0.5685
Epoch 1414/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.0542 - accuracy: 0.9912 - val_loss: 2.7821 - val_accuracy: 0.5831
Epoch 1415/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.0474 - accuracy: 0.9950 - val_loss: 2.8428 - val_accuracy: 0.5773
Epoch 1416/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.0502 - accuracy: 0.9917 - val_loss: 2.8217 - val_accuracy: 0.5598
Epoch 1417/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.0532 - accuracy: 0.9882 - val_loss: 2.9122 - val_accuracy: 0.5685
Epoch 1418/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.0718 - accuracy: 0.9802 - val_loss: 2.7473 - val_accuracy: 0.5802
Epoch 1419/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.0816 - accuracy: 0.9745 - val_loss: 2.8039 - val_accuracy: 0.5714
Epoch 1420/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1144 - accuracy: 0.9626 - val_loss: 2.7687 - val_accuracy: 0.5802
Epoch 1421/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3011 - accuracy: 0.9061 - val_loss: 3.6911 - val_accuracy: 0.4898
Epoch 1422/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.8453 - accuracy: 0.7774 - val_loss: 3.0595 - val_accuracy: 0.5539
Epoch 1423/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.5425 - accuracy: 0.8305 - val_loss: 3.2305 - val_accuracy: 0.5248
Epoch 1424/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.6870 - accuracy: 0.7873 - val_loss: 2.7572 - val_accuracy: 0.5598
Epoch 1425/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.4010 - accuracy: 0.8584 - val_loss: 3.1447 - val_accuracy: 0.5248
Epoch 1426/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2993 - accuracy: 0.9042 - val_loss: 2.5767 - val_accuracy: 0.5481
Epoch 1427/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1643 - accuracy: 0.9488 - val_loss: 2.8891 - val_accuracy: 0.5394
Epoch 1428/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2010 - accuracy: 0.9312 - val_loss: 3.1594 - val_accuracy: 0.5364
Epoch 1429/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1915 - accuracy: 0.9294 - val_loss: 2.8347 - val_accuracy: 0.5685
Epoch 1430/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3420 - accuracy: 0.8883 - val_loss: 2.6838 - val_accuracy: 0.5452
Epoch 1431/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.4204 - accuracy: 0.8621 - val_loss: 2.8833 - val_accuracy: 0.5015
Epoch 1432/1500
22/22 [==============================] - 0s 6ms/step - loss: 0.2521 - accuracy: 0.9026 - val_loss: 3.0294 - val_accuracy: 0.5248
Epoch 1433/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1399 - accuracy: 0.9498 - val_loss: 2.5615 - val_accuracy: 0.5656
Epoch 1434/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.0800 - accuracy: 0.9832 - val_loss: 2.8254 - val_accuracy: 0.5627
Epoch 1435/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.0536 - accuracy: 0.9926 - val_loss: 2.7367 - val_accuracy: 0.5598
Epoch 1436/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.0556 - accuracy: 0.9934 - val_loss: 2.9488 - val_accuracy: 0.5627
Epoch 1437/1500
22/22 [==============================] - 0s 11ms/step - loss: 0.0564 - accuracy: 0.9887 - val_loss: 3.0178 - val_accuracy: 0.5394
Epoch 1438/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.0634 - accuracy: 0.9872 - val_loss: 2.8798 - val_accuracy: 0.5569
Epoch 1439/1500
22/22 [==============================] - 0s 9ms/step - loss: 0.1268 - accuracy: 0.9556 - val_loss: 2.9058 - val_accuracy: 0.5510
Epoch 1440/1500
22/22 [==============================] - 0s 4ms/step - loss: 0.2328 - accuracy: 0.9334 - val_loss: 2.9636 - val_accuracy: 0.5714
Epoch 1441/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1092 - accuracy: 0.9678 - val_loss: 2.9239 - val_accuracy: 0.5539
Epoch 1442/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.0765 - accuracy: 0.9810 - val_loss: 3.1339 - val_accuracy: 0.5510
Epoch 1443/1500
22/22 [==============================] - 0s 6ms/step - loss: 0.0596 - accuracy: 0.9853 - val_loss: 3.0585 - val_accuracy: 0.5481
Epoch 1444/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.0760 - accuracy: 0.9845 - val_loss: 3.1096 - val_accuracy: 0.5510
Epoch 1445/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1511 - accuracy: 0.9439 - val_loss: 3.1468 - val_accuracy: 0.5627
Epoch 1446/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2009 - accuracy: 0.9279 - val_loss: 3.1636 - val_accuracy: 0.5335
Epoch 1447/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3255 - accuracy: 0.8859 - val_loss: 3.2296 - val_accuracy: 0.5889
Epoch 1448/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2029 - accuracy: 0.9272 - val_loss: 3.3516 - val_accuracy: 0.5656
Epoch 1449/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2741 - accuracy: 0.9087 - val_loss: 2.9479 - val_accuracy: 0.5656
Epoch 1450/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2080 - accuracy: 0.9235 - val_loss: 2.9257 - val_accuracy: 0.5423
Epoch 1451/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2804 - accuracy: 0.9074 - val_loss: 2.9420 - val_accuracy: 0.5423
Epoch 1452/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1744 - accuracy: 0.9458 - val_loss: 3.1339 - val_accuracy: 0.5598
Epoch 1453/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1003 - accuracy: 0.9676 - val_loss: 3.0982 - val_accuracy: 0.5510
Epoch 1454/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.0667 - accuracy: 0.9794 - val_loss: 3.1992 - val_accuracy: 0.5656
Epoch 1455/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.0383 - accuracy: 0.9940 - val_loss: 3.0678 - val_accuracy: 0.5773
Epoch 1456/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.0608 - accuracy: 0.9880 - val_loss: 3.2872 - val_accuracy: 0.5306
Epoch 1457/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.0577 - accuracy: 0.9871 - val_loss: 2.9894 - val_accuracy: 0.5627
Epoch 1458/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.0538 - accuracy: 0.9886 - val_loss: 3.0135 - val_accuracy: 0.5627
Epoch 1459/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.0571 - accuracy: 0.9846 - val_loss: 3.0272 - val_accuracy: 0.5743
Epoch 1460/1500
22/22 [==============================] - 0s 5ms/step - loss: 0.0615 - accuracy: 0.9883 - val_loss: 3.3959 - val_accuracy: 0.5306
Epoch 1461/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.0838 - accuracy: 0.9778 - val_loss: 2.9029 - val_accuracy: 0.5773
Epoch 1462/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.0892 - accuracy: 0.9690 - val_loss: 3.0978 - val_accuracy: 0.5773
Epoch 1463/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.0895 - accuracy: 0.9765 - val_loss: 3.3968 - val_accuracy: 0.5569
Epoch 1464/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1941 - accuracy: 0.9365 - val_loss: 3.3999 - val_accuracy: 0.5306
Epoch 1465/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1953 - accuracy: 0.9240 - val_loss: 3.2818 - val_accuracy: 0.5743
Epoch 1466/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1484 - accuracy: 0.9519 - val_loss: 3.3906 - val_accuracy: 0.5452
Epoch 1467/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1058 - accuracy: 0.9662 - val_loss: 3.3565 - val_accuracy: 0.5598
Epoch 1468/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.0774 - accuracy: 0.9835 - val_loss: 3.0400 - val_accuracy: 0.5977
Epoch 1469/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.0556 - accuracy: 0.9871 - val_loss: 3.1232 - val_accuracy: 0.5860
Epoch 1470/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.0585 - accuracy: 0.9863 - val_loss: 3.3417 - val_accuracy: 0.5802
Epoch 1471/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.0501 - accuracy: 0.9879 - val_loss: 3.1315 - val_accuracy: 0.5743
Epoch 1472/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.0466 - accuracy: 0.9922 - val_loss: 3.3653 - val_accuracy: 0.5539
Epoch 1473/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.0383 - accuracy: 0.9957 - val_loss: 3.2654 - val_accuracy: 0.5539
Epoch 1474/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.0475 - accuracy: 0.9906 - val_loss: 3.2851 - val_accuracy: 0.5656
Epoch 1475/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.0455 - accuracy: 0.9923 - val_loss: 3.5397 - val_accuracy: 0.5569
Epoch 1476/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1062 - accuracy: 0.9680 - val_loss: 3.3952 - val_accuracy: 0.5685
Epoch 1477/1500
22/22 [==============================] - 0s 5ms/step - loss: 0.1615 - accuracy: 0.9380 - val_loss: 3.2507 - val_accuracy: 0.5335
Epoch 1478/1500
22/22 [==============================] - 0s 5ms/step - loss: 0.3162 - accuracy: 0.8896 - val_loss: 3.1797 - val_accuracy: 0.5627
Epoch 1479/1500
22/22 [==============================] - 0s 5ms/step - loss: 0.1487 - accuracy: 0.9446 - val_loss: 3.2260 - val_accuracy: 0.5510
Epoch 1480/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1841 - accuracy: 0.9414 - val_loss: 3.1344 - val_accuracy: 0.5918
Epoch 1481/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.2882 - accuracy: 0.8997 - val_loss: 3.7790 - val_accuracy: 0.5248
Epoch 1482/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.8387 - accuracy: 0.7794 - val_loss: 3.0629 - val_accuracy: 0.5773
Epoch 1483/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.6356 - accuracy: 0.8315 - val_loss: 2.8382 - val_accuracy: 0.5248
Epoch 1484/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.5752 - accuracy: 0.8308 - val_loss: 2.9261 - val_accuracy: 0.5277
Epoch 1485/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.9309 - accuracy: 0.7516 - val_loss: 2.7270 - val_accuracy: 0.5248
Epoch 1486/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.5425 - accuracy: 0.8290 - val_loss: 2.3003 - val_accuracy: 0.5598
Epoch 1487/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.3925 - accuracy: 0.8658 - val_loss: 2.1651 - val_accuracy: 0.5860
Epoch 1488/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1510 - accuracy: 0.9517 - val_loss: 2.2474 - val_accuracy: 0.5627
Epoch 1489/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1243 - accuracy: 0.9630 - val_loss: 2.4924 - val_accuracy: 0.5481
Epoch 1490/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1370 - accuracy: 0.9573 - val_loss: 2.6646 - val_accuracy: 0.5831
Epoch 1491/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1206 - accuracy: 0.9598 - val_loss: 2.4921 - val_accuracy: 0.5685
Epoch 1492/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.0861 - accuracy: 0.9805 - val_loss: 2.4871 - val_accuracy: 0.5773
Epoch 1493/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.1297 - accuracy: 0.9578 - val_loss: 2.4992 - val_accuracy: 0.5831
Epoch 1494/1500
22/22 [==============================] - 0s 6ms/step - loss: 0.0850 - accuracy: 0.9788 - val_loss: 2.4516 - val_accuracy: 0.5860
Epoch 1495/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.0635 - accuracy: 0.9906 - val_loss: 2.5613 - val_accuracy: 0.5773
Epoch 1496/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.0512 - accuracy: 0.9878 - val_loss: 2.6666 - val_accuracy: 0.5802
Epoch 1497/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.0500 - accuracy: 0.9918 - val_loss: 2.5902 - val_accuracy: 0.5685
Epoch 1498/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.0502 - accuracy: 0.9907 - val_loss: 2.5619 - val_accuracy: 0.5802
Epoch 1499/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.0434 - accuracy: 0.9959 - val_loss: 2.5501 - val_accuracy: 0.5743
Epoch 1500/1500
22/22 [==============================] - 0s 3ms/step - loss: 0.0441 - accuracy: 0.9956 - val_loss: 2.6393 - val_accuracy: 0.5831
23/23 [==============================] - 0s 744us/step - loss: 2.9201 - accuracy: 0.6008
Test results - Loss: 2.9201295375823975 - accuracy: 0.6008174419403076%
              precision    recall  f1-score   support

           0       0.63      0.66      0.65        47
           1       0.67      0.61      0.64       105
           2       0.68      0.63      0.65       126
           3       0.56      0.52      0.54       116
           4       0.73      0.74      0.73       107
           5       0.57      0.59      0.58       118
           6       0.47      0.54      0.50        57
           7       0.40      0.47      0.43        58

    accuracy                           0.60       734
   macro avg       0.59      0.59      0.59       734
weighted avg       0.61      0.60      0.60       734

[[31  4  0  2  1  4  4  1]
 [ 6 64  8 13  0  4  7  3]
 [ 1  9 79  7 11  5  2 12]
 [ 4 12  6 60  1 23  3  7]
 [ 0  1  8  2 79  4  8  5]
 [ 1  1 10 19  8 70  4  5]
 [ 2  4  3  1  3  5 31  8]
 [ 4  0  3  4  5  8  7 27]]

import matplotlib.pyplot as plt
plt.figure(figsize=(20,8))
# plt.plot(history.history['loss'])
plt.plot(history.history['accuracy'])
# plt.plot(history.history['val_loss'])
plt.plot(history.history['val_accuracy'])
# plt.plot(history.history['categorical_crossentropy'])
# plt.plot(history.history['val_categorical_crossentropy'])
plt.legend(['accuracy','val_accuracy'])
# plt.legend(['loss' ,'accuracy' ,'val_loss' ,'val_accuracy', 'categorical_crossentropy', 'val_categorical_crossentropy'])

<matplotlib.legend.Legend at 0x134403b20>

# Train SKlean Model

x_train,x_test,y_train,y_test = train_test_split(data_x, data_y, test_size=0.3, random_state=9)

# Scikit learn model MLP
model=MLPClassifier(
    alpha=0.01, batch_size=8, epsilon=1e-08,random_state=1,
    hidden_layer_sizes=(120,100,80,50,30,20,), learning_rate='adaptive',
    max_iter=1500, verbose=0, n_iter_no_change=150
)

model.fit(x_train,y_train)

y_pred=model.predict(x_test)

accuracy=accuracy_score(y_true=y_test, y_pred=y_pred)

print("Accuracy: {:.2f}%".format(accuracy*100))

# Tuning Hyperparametrs

from sklearn.model_selection import GridSearchCV, RandomizedSearchCV

model=MLPClassifier(
    batch_size='auto', epsilon=1e-08,random_state=1,learning_rate='adaptive',
    max_iter=100, verbose=0, n_iter_no_change=10
)
parameters = dict(
    alpha=[0.01, 0.001], hidden_layer_sizes=[(120,50,30,), (120,100,)]
)
clf = GridSearchCV(model, parameters)
clf.fit(x_train,y_train)


sorted(clf.cv_results_.keys())

clf.cv_results_

{'mean_fit_time': array([0.9454318 , 0.58457451, 0.74585972, 0.57192988]),
 'std_fit_time': array([0.3877747 , 0.16304504, 0.33287013, 0.0710734 ]),
 'mean_score_time': array([0.00259414, 0.00240688, 0.00263014, 0.00202088]),
 'std_score_time': array([0.00068728, 0.00045644, 0.00093107, 0.0002458 ]),
 'param_alpha': masked_array(data=[0.01, 0.01, 0.001, 0.001],
              mask=[False, False, False, False],
        fill_value='?',
             dtype=object),
 'param_hidden_layer_sizes': masked_array(data=[(120, 50, 30), (120, 100), (120, 50, 30), (120, 100)],
              mask=[False, False, False, False],
        fill_value='?',
             dtype=object),
 'params': [{'alpha': 0.01, 'hidden_layer_sizes': (120, 50, 30)},
  {'alpha': 0.01, 'hidden_layer_sizes': (120, 100)},
  {'alpha': 0.001, 'hidden_layer_sizes': (120, 50, 30)},
  {'alpha': 0.001, 'hidden_layer_sizes': (120, 100)}],
 'split0_test_score': array([0.19533528, 0.14868805, 0.17784257, 0.18658892]),
 'split1_test_score': array([0.19533528, 0.18950437, 0.16909621, 0.0787172 ]),
 'split2_test_score': array([0.23684211, 0.18421053, 0.27777778, 0.26023392]),
 'split3_test_score': array([0.21052632, 0.09356725, 0.19590643, 0.1871345 ]),
 'split4_test_score': array([0.15497076, 0.15204678, 0.2251462 , 0.14035088]),
 'mean_test_score': array([0.19860195, 0.1536034 , 0.20915384, 0.17060508]),
 'std_test_score': array([0.02656887, 0.03422455, 0.03930777, 0.05986774]),
 'rank_test_score': array([2, 4, 1, 3], dtype=int32)}

clf.best_params_

{'alpha': 0.001, 'hidden_layer_sizes': (120, 50, 30)}

clf.best_score_

0.20915383697338585

clf.best_estimator_

MLPClassifier(alpha=0.001, hidden_layer_sizes=(120, 50, 30),
              learning_rate='adaptive', max_iter=100, random_state=1,
              verbose=0)

### Infernece from Notebook
python orchestra.py --infer --infer-model-path ./models --infer-file-path '/Users/sagar/Downloads/Audio_Song_Actors_01-24/Actor_19/03-02-01-01-01-02-19.wav'
python orchestra.py --train --framework keras

from tensorflow.keras.models import load_model
infer_file_path='/Users/sagar/Downloads/Audio_Song_Actors_01-24/Actor_19/03-02-01-01-01-02-19.wav'
infer_model_path = './models'
framework = 'keras' # sklearn
mode='infer' # train


def load_infer_data(filepath):
    ''' 
    Function to load the infernece data from filepath and extract the features the same way we did for training.
    '''
    file_name=os.path.basename(filepath)
    feature=np.array(extract_feature(filepath))
    print(feature.shape)
    # printing the feature shape and reshaping it to a single row vector.
    return feature.reshape(1,-1)

if framework == 'keras':
    model = load_model(infer_model_path + '/keras')
else:
    with open(infer_model_path + '/sklearn_model.pkl', 'rb') as f:
        model = pickle.load(f)

model

<tensorflow.python.keras.engine.sequential.Sequential at 0x12f07ab50>

data_x = load_infer_data(infer_file_path)

(193,)

predicted_emotion = model.predict(data_x)

predicted_emotion

array([[0.09756859, 0.13222097, 0.15684873, 0.14481694, 0.15684742,
        0.15733354, 0.07445011, 0.07991366]], dtype=float32)

predicted_emotion_index = np.argmax(predicted_emotion)+1

predicted_emotion_index

6

print("Predicted Emotion: ", emotions_id['0'+str(predicted_emotion_index)])

Predicted Emotion:  fearful

emotions_id

{'01': 'neutral',
 '02': 'calm',
 '03': 'happy',
 '04': 'sad',
 '05': 'angry',
 '06': 'fearful',
 '07': 'disgust',
 '08': 'surprised'}