Setup

import numpy as np
import pandas as pd
import seaborn as sns
from sklearn.preprocessing import RobustScaler
from sklearn.model_selection import train_test_split, KFold
from sklearn.metrics import mean_absolute_error
import matplotlib.pyplot as plt
from seaborn import kdeplot
import gc
import tensorflow as tf
from tensorflow import keras 
from tensorflow.keras.callbacks import EarlyStopping
from tensorflow.keras.callbacks import LearningRateScheduler
from tensorflow.keras.optimizers.schedules import ExponentialDecay

from IPython.display import display
from warnings import filterwarnings
filterwarnings('ignore')

path = "./"

train_ori = pd.read_csv(path + 'train.csv')
test_ori  = pd.read_csv(path + 'test.csv')
sample = pd.read_csv(path + 'sample_submission.csv')

EDA

train_ori.head()

	id	breath_id	R	C	time_step	u_in	u_out	pressure
0	1	1	20	50	0.000000	0.083334	0	5.837492
1	2	1	20	50	0.033652	18.383041	0	5.907794
2	3	1	20	50	0.067514	22.509278	0	7.876254
3	4	1	20	50	0.101542	22.808822	0	11.742872
4	5	1	20	50	0.135756	25.355850	0	12.234987

common_features = ['breath_id','R','C','time_step','u_in','u_out']
numerical_features = ['time_step','u_in']
categorical_features = ['R','C','u_out','breath_id']

def kdeplot_features(df_train,df_test, feature, title):
    '''Takes a column from the dataframe and plots the distribution (after count).'''
    
    values_train = df_train[feature].to_numpy()
    values_test = df_test[feature].to_numpy()  
    plt.figure(figsize=(18,3), facecolor=(17/255,17/255,17/255, 1))
    sns.kdeplot(values_train, color = '#ffd514')
    sns.kdeplot(values_test, color = '#ff355d')
    plt.legend()
    plt.title(title, fontsize=15, color='white')
    ax = plt.gca()
    ax.set_facecolor((17/255,17/255,17/255, 1))
    ax.spines['bottom'].set_color('white')
    ax.spines['top'].set_color('white')
    ax.spines['left'].set_color('white')
    ax.spines['right'].set_color('white')
    ax.xaxis.label.set_color('white')
    ax.yaxis.label.set_color('white')
    ax.tick_params(axis='x', colors='white')
    ax.tick_params(axis='y', colors='white')
    plt.savefig(f'./Presentation/RevealJsMaterial/Visualizations/{feature}.jpg')
    plt.show();
    del values_train , values_test
    gc.collect()

for feature in common_features:
    kdeplot_features(train_ori,test_ori, feature=feature, title = feature + " distribution")

---

def countplot_features(df_train, feature, title):
    '''Takes a column from the dataframe and plots the distribution (after count).'''
    plt.figure(figsize = (10, 5),facecolor=(17/255,17/255,17/255, 1))
    sns.countplot(df_train[feature], color = '#ff355d')
    plt.title(title, fontsize=15, color='white')    
    ax = plt.gca()
    ax.set_facecolor((17/255,17/255,17/255, 1))
    ax.spines['bottom'].set_color('white')
    ax.spines['top'].set_color('white')
    ax.spines['left'].set_color('white')
    ax.spines['right'].set_color('white')
    ax.xaxis.label.set_color('white')
    ax.yaxis.label.set_color('white')
    ax.tick_params(axis='x', colors='white')
    ax.tick_params(axis='y', colors='white')
    plt.savefig(f'./Presentation/RevealJsMaterial/Visualizations/Count_{feature}.jpg')
    plt.show();
    
for feature in categorical_features[:-1]:
    countplot_features(train_ori, feature=feature, title = "Frequency of "+ feature)

train_ori["seq"] = train_ori.groupby(["breath_id"])["id"].cumcount()
test_ori["seq"] = test_ori.groupby(["breath_id"])["id"].cumcount()

train_ori["pressure"] = np.around (train_ori["pressure"].values, decimals=4)
             
base = train_ori.drop_duplicates (subset=["R","C","pressure"])[["R","C", "pressure"]]
sns.set(font_scale=1.2)
for seq in range(80):
    train_seq = train_ori.query("seq == @seq")
    time = train_seq["time_step"].mean()
    df = train_seq.groupby (["R","C","pressure"]).agg({"id":"count"}).reset_index()
    df = df.append (base)
    df = df.groupby (["R","C","pressure"]).agg({"id":"sum"}).reset_index()
    df["log1p_id"] = np.log1p(df["id"])
    heat_map = df.pivot(index=["R","C"], columns="pressure", values="log1p_id").fillna(0)
    fig = plt.figure ( figsize=(15,5) )
    g=sns.heatmap(heat_map, vmin=0, vmax=7, xticklabels=30, cbar_kws={'label': 'log1p(count)'}, cmap="YlGnBu")
    plt.text(670.0, 0.7, f"frame: {seq}, time: {time:.2f}", horizontalalignment='left', size='large', color='white', weight='semibold')
    plt.tight_layout()
    plt.savefig(f'./Frames/frame{seq:05d}.jpg')
    plt.close(fig)

# !ffmpeg -y -framerate 15  -i ./frame%5d.jpg  ../Presentation/output.mp4

from IPython.display import HTML

HTML("""
    <video alt="test" loop autoplay>
        <source src="./Presentation/RevealJsMaterial/output.mp4" type="video/mp4">
    </video>
""")

Feature Engineering

def add_features(df):
    df['R'] = df['R'].astype(str)
    df['C'] = df['C'].astype(str)
    df['RC']= df['R'] + df['C']
    df['u_in_lag'] = df['u_in'].shift(1).fillna(0)
    df['u_in_lag'] = df['u_in_lag'] * df['breath_id_lagsame']
    df['u_in_lag2']= df['u_in'].shift(2).fillna(0)
    df['u_in_lag2']= df['u_in_lag2']*df['breath_id_lag2same']
    df['u_out_lag2']= df['u_out'].shift(2).fillna(0)
    df['u_out_lag2']= df['u_out_lag2']*df['breath_id_lag2same']
    df['area'] = df['time_step'] * df['u_in']
    df['area'] = df.groupby('breath_id')['area'].cumsum()
    df['cross'] = df['u_in'] * df['u_out']
    df['cross2']=df['time_step'] * df['u_out']
    df['breath_id_lag']  = df['breath_id'].shift(1).fillna(0)
    df['breath_id_lag2'] = df['breath_id'].shift(2).fillna(0)
    df['breath_id_lagsame'] = np.select([df['breath_id_lag']==df['breath_id']], [1], 0)
    df['breath_id_lag2same']= np.select([df['breath_id_lag2']==df['breath_id']], [1], 0)
    df['u_in_cumsum'] = (df['u_in']).groupby(df['breath_id']).cumsum()
    df['one']  = 1
    df['count']= (df['one']).groupby(df['breath_id']).cumsum()
    df['u_in_cummean'] = df['u_in_cumsum'] / df['count']
    df = pd.get_dummies(df)
    return df
train = add_features(train_ori)
test  = add_features(test_ori)

del train_ori
del test_ori

targets = train[['pressure']].to_numpy().reshape(-1, 80)
test = test.drop(['id', 'breath_id','one','count','breath_id_lag','breath_id_lag2','breath_id_lagsame','breath_id_lag2same','u_out_lag2'], axis=1)
train.drop(['pressure','id', 'breath_id','one','count','breath_id_lag','breath_id_lag2','breath_id_lagsame','breath_id_lag2same','u_out_lag2'], axis=1, inplace=True)

RS = RobustScaler()
train = RS.fit_transform(train)
test = RS.transform(test)

train = train.reshape(-1, 80, train.shape[-1])
test  = test.reshape(-1, 80, train.shape[-1])

train.shape, test.shape

((75450, 80, 25), (50300, 80, 25))

gc.collect()

148

Modelling and training

EPOCH = 300
BATCH_SIZE = 512
FOLDS = 6
tpu = tf.distribute.cluster_resolver.TPUClusterResolver.connect()

tpu_strategy = tf.distribute.experimental.TPUStrategy(tpu)

with tpu_strategy.scope():
    kf = KFold(n_splits = FOLDS, shuffle=True, random_state=2021)
    test_preds = []
    
    for fold, (trn_idx, val_idx) in enumerate(kf.split(train, targets)):
        print('-'*15, '>', f"Fold {fold+1}", '<', '-'*15)
        
        xtrain, xvalid = train[trn_idx], train[val_idx]
        ytrain, yvalid = targets[trn_idx], targets[val_idx]
        
        model = keras.models.Sequential([
            keras.layers.Input(shape=train.shape[-2:]),
            keras.layers.Bidirectional(keras.layers.LSTM(450, return_sequences=True)),
            keras.layers.Bidirectional(keras.layers.LSTM(350, return_sequences=True)),
            keras.layers.Bidirectional(keras.layers.LSTM(250, return_sequences=True)),
            keras.layers.Bidirectional(keras.lazyers.LSTM(150, return_sequences=True)),
            keras.layers.Bidirectional(keras.layers.LSTM(100, return_sequences=True)),
            keras.layers.Dense(50, activation='selu'),
            keras.layers.Dense(1),
        ])
        
        model.compile(optimizer="adam", loss="mae")
        
        scheduler = ExponentialDecay(1e-3, 400*((len(train)*0.8)/BATCH_SIZE), 1e-5)
        lr = LearningRateScheduler(scheduler, verbose=1)
        
        model.fit(xtrain, ytrain,
                  validation_data=(xvalid, yvalid),
                  epochs=EPOCH,
                  batch_size=BATCH_SIZE,
                  callbacks=[lr]
                 )
        test_preds.append(model.predict(test).squeeze().reshape(-1, 1).squeeze())
    

2021-10-09 19:46:29.520749: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set
2021-10-09 19:46:29.524281: W tensorflow/stream_executor/platform/default/dso_loader.cc:60] Could not load dynamic library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /opt/conda/lib
2021-10-09 19:46:29.524319: W tensorflow/stream_executor/cuda/cuda_driver.cc:326] failed call to cuInit: UNKNOWN ERROR (303)
2021-10-09 19:46:29.524357: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (931e7ab98537): /proc/driver/nvidia/version does not exist
2021-10-09 19:46:29.527761: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX2 FMA
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
2021-10-09 19:46:29.529253: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set
2021-10-09 19:46:29.534642: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set
2021-10-09 19:46:29.558850: I tensorflow/core/distributed_runtime/rpc/grpc_channel.cc:301] Initialize GrpcChannelCache for job worker -> {0 -> 10.0.0.2:8470}
2021-10-09 19:46:29.558909: I tensorflow/core/distributed_runtime/rpc/grpc_channel.cc:301] Initialize GrpcChannelCache for job localhost -> {0 -> localhost:30020}
2021-10-09 19:46:29.586380: I tensorflow/core/distributed_runtime/rpc/grpc_channel.cc:301] Initialize GrpcChannelCache for job worker -> {0 -> 10.0.0.2:8470}
2021-10-09 19:46:29.586441: I tensorflow/core/distributed_runtime/rpc/grpc_channel.cc:301] Initialize GrpcChannelCache for job localhost -> {0 -> localhost:30020}
2021-10-09 19:46:29.588133: I tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:411] Started server with target: grpc://localhost:30020

--------------- > Fold 1 < ---------------
Epoch 1/300

Epoch 00001: LearningRateScheduler reducing learning rate to tf.Tensor(0.001, shape=(), dtype=float32).
123/123 [==============================] - 44s 180ms/step - loss: 3.8414 - val_loss: 1.1251
Epoch 2/300

Epoch 00002: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009997559, shape=(), dtype=float32).
123/123 [==============================] - 10s 78ms/step - loss: 1.0882 - val_loss: 0.7695
Epoch 3/300

Epoch 00003: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009995119, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.7749 - val_loss: 0.7462
Epoch 4/300

Epoch 00004: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009992679, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.7228 - val_loss: 0.5991
Epoch 5/300

Epoch 00005: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009990239, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.6111 - val_loss: 0.5906
Epoch 6/300

Epoch 00006: LearningRateScheduler reducing learning rate to tf.Tensor(0.00099878, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.5821 - val_loss: 0.5282
Epoch 7/300

Epoch 00007: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009985362, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.5523 - val_loss: 0.4944
Epoch 8/300

Epoch 00008: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009982925, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.5021 - val_loss: 0.4808
Epoch 9/300

Epoch 00009: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009980488, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.4949 - val_loss: 0.4531
Epoch 10/300

Epoch 00010: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009978052, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.4669 - val_loss: 0.4488
Epoch 11/300

Epoch 00011: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009975616, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.4452 - val_loss: 0.4314
Epoch 12/300

Epoch 00012: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009973181, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.4409 - val_loss: 0.4325
Epoch 13/300

Epoch 00013: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009970746, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.4186 - val_loss: 0.4219
Epoch 14/300

Epoch 00014: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009968312, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.4207 - val_loss: 0.4060
Epoch 15/300

Epoch 00015: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009965879, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.4020 - val_loss: 0.3774
Epoch 16/300

Epoch 00016: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009963446, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.4078 - val_loss: 0.3986
Epoch 17/300

Epoch 00017: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009961014, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.3785 - val_loss: 0.3819
Epoch 18/300

Epoch 00018: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009958582, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.3769 - val_loss: 0.3568
Epoch 19/300

Epoch 00019: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009956151, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.3632 - val_loss: 0.3676
Epoch 20/300

Epoch 00020: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009953721, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.3612 - val_loss: 0.3543
Epoch 21/300

Epoch 00021: LearningRateScheduler reducing learning rate to tf.Tensor(0.000995129, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.3393 - val_loss: 0.3517
Epoch 22/300

Epoch 00022: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009948862, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.3383 - val_loss: 0.3401
Epoch 23/300

Epoch 00023: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009946433, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.3448 - val_loss: 0.3384
Epoch 24/300

Epoch 00024: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009944005, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.3320 - val_loss: 0.3436
Epoch 25/300

Epoch 00025: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009941577, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.3366 - val_loss: 0.3703
Epoch 26/300

Epoch 00026: LearningRateScheduler reducing learning rate to tf.Tensor(0.000993915, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.3487 - val_loss: 0.4054
Epoch 27/300

Epoch 00027: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009936724, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.3340 - val_loss: 0.3165
Epoch 28/300

Epoch 00028: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009934298, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.3420 - val_loss: 0.3283
Epoch 29/300

Epoch 00029: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009931873, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.3413 - val_loss: 0.3062
Epoch 30/300

Epoch 00030: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009929449, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.3217 - val_loss: 0.3021
Epoch 31/300

Epoch 00031: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009927024, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.3028 - val_loss: 0.3315
Epoch 32/300

Epoch 00032: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009924602, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.3145 - val_loss: 0.2880
Epoch 33/300

Epoch 00033: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009922179, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.2855 - val_loss: 0.4077
Epoch 34/300

Epoch 00034: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009919757, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.3604 - val_loss: 0.3019
Epoch 35/300

Epoch 00035: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009917335, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.3228 - val_loss: 0.4733
Epoch 36/300

Epoch 00036: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009914914, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.3609 - val_loss: 0.2974
Epoch 37/300

Epoch 00037: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009912493, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2916 - val_loss: 0.2901
Epoch 38/300

Epoch 00038: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009910074, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2802 - val_loss: 0.3820
Epoch 39/300

Epoch 00039: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009907655, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.3205 - val_loss: 0.2754
Epoch 40/300

Epoch 00040: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009905236, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2971 - val_loss: 0.2870
Epoch 41/300

Epoch 00041: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009902818, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.2950 - val_loss: 0.2820
Epoch 42/300

Epoch 00042: LearningRateScheduler reducing learning rate to tf.Tensor(0.00099004, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.2814 - val_loss: 0.2739
Epoch 43/300

Epoch 00043: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009897983, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.2701 - val_loss: 0.2816
Epoch 44/300

Epoch 00044: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009895568, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2731 - val_loss: 0.2819
Epoch 45/300

Epoch 00045: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009893152, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.2646 - val_loss: 0.2729
Epoch 46/300

Epoch 00046: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009890737, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2630 - val_loss: 0.2829
Epoch 47/300

Epoch 00047: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009888322, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2688 - val_loss: 0.2639
Epoch 48/300

Epoch 00048: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009885909, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2717 - val_loss: 0.2606
Epoch 49/300

Epoch 00049: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009883496, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2900 - val_loss: 0.3359
Epoch 50/300

Epoch 00050: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009881082, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.2864 - val_loss: 0.2719
Epoch 51/300

Epoch 00051: LearningRateScheduler reducing learning rate to tf.Tensor(0.000987867, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2639 - val_loss: 0.2566
Epoch 52/300

Epoch 00052: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009876259, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2589 - val_loss: 0.2494
Epoch 53/300

Epoch 00053: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009873848, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2466 - val_loss: 0.2864
Epoch 54/300

Epoch 00054: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009871437, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.2532 - val_loss: 0.2677
Epoch 55/300

Epoch 00055: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009869027, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2657 - val_loss: 0.2835
Epoch 56/300

Epoch 00056: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009866619, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.2620 - val_loss: 0.2459
Epoch 57/300

Epoch 00057: LearningRateScheduler reducing learning rate to tf.Tensor(0.000986421, shape=(), dtype=float32).
123/123 [==============================] - 10s 82ms/step - loss: 0.2789 - val_loss: 0.2678
Epoch 58/300

Epoch 00058: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009861803, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2674 - val_loss: 0.2626
Epoch 59/300

Epoch 00059: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009859395, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2501 - val_loss: 0.2505
Epoch 60/300

Epoch 00060: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009856988, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2427 - val_loss: 0.2525
Epoch 61/300

Epoch 00061: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009854581, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.2366 - val_loss: 0.2422
Epoch 62/300

Epoch 00062: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009852176, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.2521 - val_loss: 0.2654
Epoch 63/300

Epoch 00063: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009849771, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.2524 - val_loss: 0.2403
Epoch 64/300

Epoch 00064: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009847367, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2363 - val_loss: 0.2553
Epoch 65/300

Epoch 00065: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009844963, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.2391 - val_loss: 0.2643
Epoch 66/300

Epoch 00066: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009842559, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2572 - val_loss: 0.2754
Epoch 67/300

Epoch 00067: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009840156, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2457 - val_loss: 0.2359
Epoch 68/300

Epoch 00068: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009837755, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.2252 - val_loss: 0.2353
Epoch 69/300

Epoch 00069: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009835353, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.2390 - val_loss: 0.2340
Epoch 70/300

Epoch 00070: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009832951, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2302 - val_loss: 0.2260
Epoch 71/300

Epoch 00071: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009830552, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2168 - val_loss: 0.2204
Epoch 72/300

Epoch 00072: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009828152, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2272 - val_loss: 0.2871
Epoch 73/300

Epoch 00073: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009825752, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2687 - val_loss: 0.2613
Epoch 74/300

Epoch 00074: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009823354, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2494 - val_loss: 0.2524
Epoch 75/300

Epoch 00075: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009820956, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2361 - val_loss: 0.2375
Epoch 76/300

Epoch 00076: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009818559, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2195 - val_loss: 0.2342
Epoch 77/300

Epoch 00077: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009816162, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2332 - val_loss: 0.2321
Epoch 78/300

Epoch 00078: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009813765, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2211 - val_loss: 0.2995
Epoch 79/300

Epoch 00079: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009811369, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2649 - val_loss: 0.2640
Epoch 80/300

Epoch 00080: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009808975, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2476 - val_loss: 0.2476
Epoch 81/300

Epoch 00081: LearningRateScheduler reducing learning rate to tf.Tensor(0.000980658, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2307 - val_loss: 0.2320
Epoch 82/300

Epoch 00082: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009804186, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2343 - val_loss: 0.2818
Epoch 83/300

Epoch 00083: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009801793, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2435 - val_loss: 0.2333
Epoch 84/300

Epoch 00084: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009799399, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2130 - val_loss: 0.2253
Epoch 85/300

Epoch 00085: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009797008, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2147 - val_loss: 0.2210
Epoch 86/300

Epoch 00086: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009794617, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2189 - val_loss: 0.2609
Epoch 87/300

Epoch 00087: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009792225, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2322 - val_loss: 0.2239
Epoch 88/300

Epoch 00088: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009789835, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2151 - val_loss: 0.2213
Epoch 89/300

Epoch 00089: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009787445, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2111 - val_loss: 0.2253
Epoch 90/300

Epoch 00090: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009785056, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2448 - val_loss: 0.2334
Epoch 91/300

Epoch 00091: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009782667, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2140 - val_loss: 0.2305
Epoch 92/300

Epoch 00092: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009780279, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2156 - val_loss: 0.2215
Epoch 93/300

Epoch 00093: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009777892, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2083 - val_loss: 0.2133
Epoch 94/300

Epoch 00094: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009775504, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2017 - val_loss: 0.2412
Epoch 95/300

Epoch 00095: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009773119, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.2275 - val_loss: 0.2331
Epoch 96/300

Epoch 00096: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009770732, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2079 - val_loss: 0.2141
Epoch 97/300

Epoch 00097: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009768348, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.2022 - val_loss: 0.2064
Epoch 98/300

Epoch 00098: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009765963, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1991 - val_loss: 0.2266
Epoch 99/300

Epoch 00099: LearningRateScheduler reducing learning rate to tf.Tensor(0.00097635784, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2130 - val_loss: 0.2297
Epoch 100/300

Epoch 00100: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009761195, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2105 - val_loss: 0.2078
Epoch 101/300

Epoch 00101: LearningRateScheduler reducing learning rate to tf.Tensor(0.00097588124, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2052 - val_loss: 0.2291
Epoch 102/300

Epoch 00102: LearningRateScheduler reducing learning rate to tf.Tensor(0.00097564305, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2117 - val_loss: 0.2282
Epoch 103/300

Epoch 00103: LearningRateScheduler reducing learning rate to tf.Tensor(0.00097540487, shape=(), dtype=float32).
123/123 [==============================] - 10s 81ms/step - loss: 0.2040 - val_loss: 0.2070
Epoch 104/300

Epoch 00104: LearningRateScheduler reducing learning rate to tf.Tensor(0.00097516674, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2040 - val_loss: 0.2535
Epoch 105/300

Epoch 00105: LearningRateScheduler reducing learning rate to tf.Tensor(0.00097492867, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2387 - val_loss: 0.2344
Epoch 106/300

Epoch 00106: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009746907, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2137 - val_loss: 0.2337
Epoch 107/300

Epoch 00107: LearningRateScheduler reducing learning rate to tf.Tensor(0.00097445276, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.2058 - val_loss: 0.2265
Epoch 108/300

Epoch 00108: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009742149, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.2022 - val_loss: 0.2264
Epoch 109/300

Epoch 00109: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009739771, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.2047 - val_loss: 0.2165
Epoch 110/300

Epoch 00110: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009737393, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2016 - val_loss: 0.2146
Epoch 111/300

Epoch 00111: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009735016, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1978 - val_loss: 0.2065
Epoch 112/300

Epoch 00112: LearningRateScheduler reducing learning rate to tf.Tensor(0.000973264, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1988 - val_loss: 0.2387
Epoch 113/300

Epoch 00113: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009730264, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2082 - val_loss: 0.3274
Epoch 114/300

Epoch 00114: LearningRateScheduler reducing learning rate to tf.Tensor(0.00097278884, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.3214 - val_loss: 0.2185
Epoch 115/300

Epoch 00115: LearningRateScheduler reducing learning rate to tf.Tensor(0.00097255135, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1996 - val_loss: 0.2089
Epoch 116/300

Epoch 00116: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009723139, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1908 - val_loss: 0.2097
Epoch 117/300

Epoch 00117: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009720766, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1889 - val_loss: 0.2098
Epoch 118/300

Epoch 00118: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009718393, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1899 - val_loss: 0.2064
Epoch 119/300

Epoch 00119: LearningRateScheduler reducing learning rate to tf.Tensor(0.00097160204, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1929 - val_loss: 0.2139
Epoch 120/300

Epoch 00120: LearningRateScheduler reducing learning rate to tf.Tensor(0.00097136485, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1862 - val_loss: 0.2071
Epoch 121/300

Epoch 00121: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009711277, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1832 - val_loss: 0.2214
Epoch 122/300

Epoch 00122: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009708907, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1877 - val_loss: 0.2025
Epoch 123/300

Epoch 00123: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009706537, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1909 - val_loss: 0.2244
Epoch 124/300

Epoch 00124: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009704167, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2036 - val_loss: 0.1952
Epoch 125/300

Epoch 00125: LearningRateScheduler reducing learning rate to tf.Tensor(0.00097017986, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1791 - val_loss: 0.2134
Epoch 126/300

Epoch 00126: LearningRateScheduler reducing learning rate to tf.Tensor(0.00096994295, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1886 - val_loss: 0.2055
Epoch 127/300

Epoch 00127: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009697062, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1812 - val_loss: 0.1996
Epoch 128/300

Epoch 00128: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009694695, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1806 - val_loss: 0.2294
Epoch 129/300

Epoch 00129: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009692328, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1861 - val_loss: 0.2403
Epoch 130/300

Epoch 00130: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009689962, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1979 - val_loss: 0.2008
Epoch 131/300

Epoch 00131: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009687597, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1807 - val_loss: 0.2298
Epoch 132/300

Epoch 00132: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009685232, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2038 - val_loss: 0.2081
Epoch 133/300

Epoch 00133: LearningRateScheduler reducing learning rate to tf.Tensor(0.00096828677, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1829 - val_loss: 0.2028
Epoch 134/300

Epoch 00134: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009680504, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1755 - val_loss: 0.1948
Epoch 135/300

Epoch 00135: LearningRateScheduler reducing learning rate to tf.Tensor(0.00096781406, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1854 - val_loss: 0.1999
Epoch 136/300

Epoch 00136: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009675778, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1766 - val_loss: 0.1936
Epoch 137/300

Epoch 00137: LearningRateScheduler reducing learning rate to tf.Tensor(0.00096734165, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1763 - val_loss: 0.1926
Epoch 138/300

Epoch 00138: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009671055, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1694 - val_loss: 0.1894
Epoch 139/300

Epoch 00139: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009668694, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1671 - val_loss: 0.2246
Epoch 140/300

Epoch 00140: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009666334, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1875 - val_loss: 0.2022
Epoch 141/300

Epoch 00141: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009663974, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1828 - val_loss: 0.2105
Epoch 142/300

Epoch 00142: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009661615, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.2155 - val_loss: 0.2065
Epoch 143/300

Epoch 00143: LearningRateScheduler reducing learning rate to tf.Tensor(0.00096592563, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1920 - val_loss: 0.1975
Epoch 144/300

Epoch 00144: LearningRateScheduler reducing learning rate to tf.Tensor(0.00096568983, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1730 - val_loss: 0.2061
Epoch 145/300

Epoch 00145: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009654541, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1762 - val_loss: 0.2031
Epoch 146/300

Epoch 00146: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009652184, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1782 - val_loss: 0.2033
Epoch 147/300

Epoch 00147: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009649828, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1753 - val_loss: 0.2018
Epoch 148/300

Epoch 00148: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009647472, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1865 - val_loss: 0.1971
Epoch 149/300

Epoch 00149: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009645117, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1673 - val_loss: 0.1905
Epoch 150/300

Epoch 00150: LearningRateScheduler reducing learning rate to tf.Tensor(0.00096427626, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1648 - val_loss: 0.1950
Epoch 151/300

Epoch 00151: LearningRateScheduler reducing learning rate to tf.Tensor(0.00096404087, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1632 - val_loss: 0.2303
Epoch 152/300

Epoch 00152: LearningRateScheduler reducing learning rate to tf.Tensor(0.00096380553, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1890 - val_loss: 0.2028
Epoch 153/300

Epoch 00153: LearningRateScheduler reducing learning rate to tf.Tensor(0.00096357026, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1747 - val_loss: 0.2076
Epoch 154/300

Epoch 00154: LearningRateScheduler reducing learning rate to tf.Tensor(0.00096333504, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1756 - val_loss: 0.2061
Epoch 155/300

Epoch 00155: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009630999, shape=(), dtype=float32).
123/123 [==============================] - 10s 80ms/step - loss: 0.1859 - val_loss: 0.1932
Epoch 156/300

Epoch 00156: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009628647, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1627 - val_loss: 0.1865
Epoch 157/300

Epoch 00157: LearningRateScheduler reducing learning rate to tf.Tensor(0.00096262974, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1636 - val_loss: 0.2016
Epoch 158/300

Epoch 00158: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009623947, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1680 - val_loss: 0.1860
Epoch 159/300

Epoch 00159: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009621598, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1601 - val_loss: 0.2083
Epoch 160/300

Epoch 00160: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009619249, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1706 - val_loss: 0.1936
Epoch 161/300

Epoch 00161: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009616901, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1730 - val_loss: 0.1924
Epoch 162/300

Epoch 00162: LearningRateScheduler reducing learning rate to tf.Tensor(0.00096145534, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1634 - val_loss: 0.1910
Epoch 163/300

Epoch 00163: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009612206, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1573 - val_loss: 0.1927
Epoch 164/300

Epoch 00164: LearningRateScheduler reducing learning rate to tf.Tensor(0.000960986, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1778 - val_loss: 0.2118
Epoch 165/300

Epoch 00165: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009607514, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1711 - val_loss: 0.1944
Epoch 166/300

Epoch 00166: LearningRateScheduler reducing learning rate to tf.Tensor(0.00096051686, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1668 - val_loss: 0.2070
Epoch 167/300

Epoch 00167: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009602824, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1787 - val_loss: 0.1961
Epoch 168/300

Epoch 00168: LearningRateScheduler reducing learning rate to tf.Tensor(0.00096004794, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1753 - val_loss: 0.1878
Epoch 169/300

Epoch 00169: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009598136, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1613 - val_loss: 0.1913
Epoch 170/300

Epoch 00170: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095957925, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1615 - val_loss: 0.1970
Epoch 171/300

Epoch 00171: LearningRateScheduler reducing learning rate to tf.Tensor(0.000959345, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1606 - val_loss: 0.1964
Epoch 172/300

Epoch 00172: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095911085, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1533 - val_loss: 0.1851
Epoch 173/300

Epoch 00173: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095887674, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1533 - val_loss: 0.1827
Epoch 174/300

Epoch 00174: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095864263, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1490 - val_loss: 0.1873
Epoch 175/300

Epoch 00175: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095840864, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1515 - val_loss: 0.1819
Epoch 176/300

Epoch 00176: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009581747, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1466 - val_loss: 0.1918
Epoch 177/300

Epoch 00177: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095794076, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1552 - val_loss: 0.1792
Epoch 178/300

Epoch 00178: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095770694, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1529 - val_loss: 0.1807
Epoch 179/300

Epoch 00179: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009574731, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1504 - val_loss: 0.1873
Epoch 180/300

Epoch 00180: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095723936, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1481 - val_loss: 0.1906
Epoch 181/300

Epoch 00181: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009570057, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1510 - val_loss: 0.1921
Epoch 182/300

Epoch 00182: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095677207, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1582 - val_loss: 0.1982
Epoch 183/300

Epoch 00183: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095653854, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1535 - val_loss: 0.1902
Epoch 184/300

Epoch 00184: LearningRateScheduler reducing learning rate to tf.Tensor(0.000956305, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1658 - val_loss: 0.1998
Epoch 185/300

Epoch 00185: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009560716, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1635 - val_loss: 0.1999
Epoch 186/300

Epoch 00186: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009558382, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1614 - val_loss: 0.1881
Epoch 187/300

Epoch 00187: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095560483, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1535 - val_loss: 0.1887
Epoch 188/300

Epoch 00188: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009553716, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1513 - val_loss: 0.1869
Epoch 189/300

Epoch 00189: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095513836, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1534 - val_loss: 0.2144
Epoch 190/300

Epoch 00190: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009549052, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1691 - val_loss: 0.1884
Epoch 191/300

Epoch 00191: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009546721, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1584 - val_loss: 0.1974
Epoch 192/300

Epoch 00192: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095443905, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1581 - val_loss: 0.1861
Epoch 193/300

Epoch 00193: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095420604, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1490 - val_loss: 0.1854
Epoch 194/300

Epoch 00194: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009539731, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1549 - val_loss: 0.1814
Epoch 195/300

Epoch 00195: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009537402, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1478 - val_loss: 0.1944
Epoch 196/300

Epoch 00196: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095350744, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1494 - val_loss: 0.1845
Epoch 197/300

Epoch 00197: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095327466, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1442 - val_loss: 0.1818
Epoch 198/300

Epoch 00198: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095304195, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1396 - val_loss: 0.1791
Epoch 199/300

Epoch 00199: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009528093, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1418 - val_loss: 0.2306
Epoch 200/300

Epoch 00200: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009525767, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1739 - val_loss: 0.1822
Epoch 201/300

Epoch 00201: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095234415, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1435 - val_loss: 0.1947
Epoch 202/300

Epoch 00202: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095211173, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1464 - val_loss: 0.1811
Epoch 203/300

Epoch 00203: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095187925, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1438 - val_loss: 0.1861
Epoch 204/300

Epoch 00204: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009516469, shape=(), dtype=float32).
123/123 [==============================] - 10s 81ms/step - loss: 0.1421 - val_loss: 0.1764
Epoch 205/300

Epoch 00205: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009514146, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1393 - val_loss: 0.1863
Epoch 206/300

Epoch 00206: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009511823, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1447 - val_loss: 0.2042
Epoch 207/300

Epoch 00207: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095095014, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1526 - val_loss: 0.1853
Epoch 208/300

Epoch 00208: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095071795, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1406 - val_loss: 0.1820
Epoch 209/300

Epoch 00209: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095048593, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1384 - val_loss: 0.1788
Epoch 210/300

Epoch 00210: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009502539, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1447 - val_loss: 0.1819
Epoch 211/300

Epoch 00211: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009500219, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1455 - val_loss: 0.1822
Epoch 212/300

Epoch 00212: LearningRateScheduler reducing learning rate to tf.Tensor(0.00094979, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1359 - val_loss: 0.1818
Epoch 213/300

Epoch 00213: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009495581, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1388 - val_loss: 0.1913
Epoch 214/300

Epoch 00214: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009493263, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1399 - val_loss: 0.1858
Epoch 215/300

Epoch 00215: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009490946, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1384 - val_loss: 0.1781
Epoch 216/300

Epoch 00216: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009488629, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1383 - val_loss: 0.1914
Epoch 217/300

Epoch 00217: LearningRateScheduler reducing learning rate to tf.Tensor(0.00094863126, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1396 - val_loss: 0.1761
Epoch 218/300

Epoch 00218: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009483997, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1323 - val_loss: 0.1900
Epoch 219/300

Epoch 00219: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009481682, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1409 - val_loss: 0.1808
Epoch 220/300

Epoch 00220: LearningRateScheduler reducing learning rate to tf.Tensor(0.00094793667, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1382 - val_loss: 0.2032
Epoch 221/300

Epoch 00221: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009477053, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1566 - val_loss: 0.1795
Epoch 222/300

Epoch 00222: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009474739, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1407 - val_loss: 0.1819
Epoch 223/300

Epoch 00223: LearningRateScheduler reducing learning rate to tf.Tensor(0.00094724266, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1386 - val_loss: 0.2076
Epoch 224/300

Epoch 00224: LearningRateScheduler reducing learning rate to tf.Tensor(0.00094701146, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1532 - val_loss: 0.1815
Epoch 225/300

Epoch 00225: LearningRateScheduler reducing learning rate to tf.Tensor(0.00094678026, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1359 - val_loss: 0.1764
Epoch 226/300

Epoch 00226: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009465491, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1267 - val_loss: 0.1762
Epoch 227/300

Epoch 00227: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009463181, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1298 - val_loss: 0.1828
Epoch 228/300

Epoch 00228: LearningRateScheduler reducing learning rate to tf.Tensor(0.00094608706, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1411 - val_loss: 0.1806
Epoch 229/300

Epoch 00229: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009458561, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1339 - val_loss: 0.1798
Epoch 230/300

Epoch 00230: LearningRateScheduler reducing learning rate to tf.Tensor(0.00094562524, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1332 - val_loss: 0.1823
Epoch 231/300

Epoch 00231: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009453944, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1305 - val_loss: 0.1741
Epoch 232/300

Epoch 00232: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009451636, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1284 - val_loss: 0.1783
Epoch 233/300

Epoch 00233: LearningRateScheduler reducing learning rate to tf.Tensor(0.00094493286, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1258 - val_loss: 0.1734
Epoch 234/300

Epoch 00234: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009447022, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1240 - val_loss: 0.1743
Epoch 235/300

Epoch 00235: LearningRateScheduler reducing learning rate to tf.Tensor(0.00094447157, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1222 - val_loss: 0.1755
Epoch 236/300

Epoch 00236: LearningRateScheduler reducing learning rate to tf.Tensor(0.000944241, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1222 - val_loss: 0.1771
Epoch 237/300

Epoch 00237: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009440105, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1241 - val_loss: 0.1779
Epoch 238/300

Epoch 00238: LearningRateScheduler reducing learning rate to tf.Tensor(0.00094378006, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1241 - val_loss: 0.1731
Epoch 239/300

Epoch 00239: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009435497, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1206 - val_loss: 0.1869
Epoch 240/300

Epoch 00240: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009433193, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1354 - val_loss: 0.1816
Epoch 241/300

Epoch 00241: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009430891, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1374 - val_loss: 0.1982
Epoch 242/300

Epoch 00242: LearningRateScheduler reducing learning rate to tf.Tensor(0.00094285887, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1576 - val_loss: 0.1908
Epoch 243/300

Epoch 00243: LearningRateScheduler reducing learning rate to tf.Tensor(0.00094262866, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1547 - val_loss: 0.2252
Epoch 244/300

Epoch 00244: LearningRateScheduler reducing learning rate to tf.Tensor(0.00094239856, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1656 - val_loss: 0.1784
Epoch 245/300

Epoch 00245: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009421685, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1339 - val_loss: 0.1858
Epoch 246/300

Epoch 00246: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009419385, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1298 - val_loss: 0.1771
Epoch 247/300

Epoch 00247: LearningRateScheduler reducing learning rate to tf.Tensor(0.00094170857, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1219 - val_loss: 0.1748
Epoch 248/300

Epoch 00248: LearningRateScheduler reducing learning rate to tf.Tensor(0.00094147865, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1208 - val_loss: 0.1808
Epoch 249/300

Epoch 00249: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009412489, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1248 - val_loss: 0.1774
Epoch 250/300

Epoch 00250: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009410191, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1212 - val_loss: 0.1747
Epoch 251/300

Epoch 00251: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009407894, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1181 - val_loss: 0.1737
Epoch 252/300

Epoch 00252: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009405597, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1163 - val_loss: 0.1743
Epoch 253/300

Epoch 00253: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009403301, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1151 - val_loss: 0.1746
Epoch 254/300

Epoch 00254: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009401005, shape=(), dtype=float32).
123/123 [==============================] - 10s 81ms/step - loss: 0.1177 - val_loss: 0.1724
Epoch 255/300

Epoch 00255: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093987107, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1176 - val_loss: 0.1752
Epoch 256/300

Epoch 00256: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009396416, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1147 - val_loss: 0.1720
Epoch 257/300

Epoch 00257: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009394122, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1133 - val_loss: 0.1730
Epoch 258/300

Epoch 00258: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093918294, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1132 - val_loss: 0.1741
Epoch 259/300

Epoch 00259: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093895366, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1141 - val_loss: 0.1803
Epoch 260/300

Epoch 00260: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093872444, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1158 - val_loss: 0.1714
Epoch 261/300

Epoch 00261: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009384953, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1132 - val_loss: 0.1731
Epoch 262/300

Epoch 00262: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009382662, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1109 - val_loss: 0.1808
Epoch 263/300

Epoch 00263: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009380371, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1204 - val_loss: 0.1730
Epoch 264/300

Epoch 00264: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093780813, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1123 - val_loss: 0.1785
Epoch 265/300

Epoch 00265: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009375792, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1231 - val_loss: 0.1771
Epoch 266/300

Epoch 00266: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009373503, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1207 - val_loss: 0.1737
Epoch 267/300

Epoch 00267: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009371216, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1131 - val_loss: 0.1727
Epoch 268/300

Epoch 00268: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009368928, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1166 - val_loss: 0.1714
Epoch 269/300

Epoch 00269: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093666406, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1120 - val_loss: 0.1711
Epoch 270/300

Epoch 00270: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093643536, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1084 - val_loss: 0.1738
Epoch 271/300

Epoch 00271: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009362068, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1152 - val_loss: 0.1741
Epoch 272/300

Epoch 00272: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093597826, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1127 - val_loss: 0.1736
Epoch 273/300

Epoch 00273: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093574973, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1117 - val_loss: 0.1845
Epoch 274/300

Epoch 00274: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009355213, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1195 - val_loss: 0.1828
Epoch 275/300

Epoch 00275: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009352929, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1217 - val_loss: 0.1906
Epoch 276/300

Epoch 00276: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009350647, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1434 - val_loss: 0.1970
Epoch 277/300

Epoch 00277: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009348364, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1425 - val_loss: 0.1865
Epoch 278/300

Epoch 00278: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093460816, shape=(), dtype=float32).
123/123 [==============================] - 10s 77ms/step - loss: 0.1219 - val_loss: 0.1787
Epoch 279/300

Epoch 00279: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093438005, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1140 - val_loss: 0.1732
Epoch 280/300

Epoch 00280: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093415193, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1124 - val_loss: 0.1816
Epoch 281/300

Epoch 00281: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009339239, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1165 - val_loss: 0.1745
Epoch 282/300

Epoch 00282: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009336959, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1078 - val_loss: 0.1747
Epoch 283/300

Epoch 00283: LearningRateScheduler reducing learning rate to tf.Tensor(0.000933468, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1070 - val_loss: 0.1738
Epoch 284/300

Epoch 00284: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009332401, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1158 - val_loss: 0.1782
Epoch 285/300

Epoch 00285: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009330123, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1131 - val_loss: 0.1745
Epoch 286/300

Epoch 00286: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009327845, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1099 - val_loss: 0.1838
Epoch 287/300

Epoch 00287: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009325568, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1161 - val_loss: 0.1894
Epoch 288/300

Epoch 00288: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093232916, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1267 - val_loss: 0.1794
Epoch 289/300

Epoch 00289: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093210157, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1108 - val_loss: 0.1777
Epoch 290/300

Epoch 00290: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093187403, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1066 - val_loss: 0.1724
Epoch 291/300

Epoch 00291: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093164656, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1035 - val_loss: 0.1801
Epoch 292/300

Epoch 00292: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093141914, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1085 - val_loss: 0.1725
Epoch 293/300

Epoch 00293: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009311917, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1044 - val_loss: 0.1761
Epoch 294/300

Epoch 00294: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009309644, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1030 - val_loss: 0.1741
Epoch 295/300

Epoch 00295: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009307372, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1037 - val_loss: 0.1723
Epoch 296/300

Epoch 00296: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093051, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1020 - val_loss: 0.1754
Epoch 297/300

Epoch 00297: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009302828, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1029 - val_loss: 0.1718
Epoch 298/300

Epoch 00298: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093005574, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1021 - val_loss: 0.1721
Epoch 299/300

Epoch 00299: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009298287, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1009 - val_loss: 0.1757
Epoch 300/300

Epoch 00300: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009296017, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1073 - val_loss: 0.1744
--------------- > Fold 2 < ---------------
Epoch 1/300

Epoch 00001: LearningRateScheduler reducing learning rate to tf.Tensor(0.001, shape=(), dtype=float32).
123/123 [==============================] - 46s 185ms/step - loss: 3.6157 - val_loss: 1.0458
Epoch 2/300

Epoch 00002: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009997559, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.9818 - val_loss: 0.7245
Epoch 3/300

Epoch 00003: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009995119, shape=(), dtype=float32).
123/123 [==============================] - 10s 77ms/step - loss: 0.7250 - val_loss: 0.6841
Epoch 4/300

Epoch 00004: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009992679, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.6408 - val_loss: 0.6024
Epoch 5/300

Epoch 00005: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009990239, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.5871 - val_loss: 0.6292
Epoch 6/300

Epoch 00006: LearningRateScheduler reducing learning rate to tf.Tensor(0.00099878, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.5427 - val_loss: 0.5096
Epoch 7/300

Epoch 00007: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009985362, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.4935 - val_loss: 0.4640
Epoch 8/300

Epoch 00008: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009982925, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.4882 - val_loss: 0.4503
Epoch 9/300

Epoch 00009: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009980488, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.4874 - val_loss: 0.4369
Epoch 10/300

Epoch 00010: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009978052, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.4482 - val_loss: 0.4619
Epoch 11/300

Epoch 00011: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009975616, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.4371 - val_loss: 0.4167
Epoch 12/300

Epoch 00012: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009973181, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.4083 - val_loss: 0.4007
Epoch 13/300

Epoch 00013: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009970746, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.4199 - val_loss: 0.4583
Epoch 14/300

Epoch 00014: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009968312, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.4061 - val_loss: 0.3799
Epoch 15/300

Epoch 00015: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009965879, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.3915 - val_loss: 0.3967
Epoch 16/300

Epoch 00016: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009963446, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.3776 - val_loss: 0.3740
Epoch 17/300

Epoch 00017: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009961014, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.3642 - val_loss: 0.3726
Epoch 18/300

Epoch 00018: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009958582, shape=(), dtype=float32).
123/123 [==============================] - 10s 77ms/step - loss: 0.3593 - val_loss: 0.3645
Epoch 19/300

Epoch 00019: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009956151, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.3450 - val_loss: 0.3606
Epoch 20/300

Epoch 00020: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009953721, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.3488 - val_loss: 0.3790
Epoch 21/300

Epoch 00021: LearningRateScheduler reducing learning rate to tf.Tensor(0.000995129, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.3455 - val_loss: 0.3611
Epoch 22/300

Epoch 00022: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009948862, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.3302 - val_loss: 0.3863
Epoch 23/300

Epoch 00023: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009946433, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.3305 - val_loss: 0.3272
Epoch 24/300

Epoch 00024: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009944005, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.3122 - val_loss: 0.3227
Epoch 25/300

Epoch 00025: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009941577, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.3143 - val_loss: 0.3867
Epoch 26/300

Epoch 00026: LearningRateScheduler reducing learning rate to tf.Tensor(0.000993915, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.3272 - val_loss: 0.3297
Epoch 27/300

Epoch 00027: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009936724, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.3041 - val_loss: 0.3301
Epoch 28/300

Epoch 00028: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009934298, shape=(), dtype=float32).
123/123 [==============================] - 10s 81ms/step - loss: 0.3083 - val_loss: 0.3178
Epoch 29/300

Epoch 00029: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009931873, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.3075 - val_loss: 0.3371
Epoch 30/300

Epoch 00030: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009929449, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.3017 - val_loss: 0.3156
Epoch 31/300

Epoch 00031: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009927024, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2926 - val_loss: 0.2921
Epoch 32/300

Epoch 00032: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009924602, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2769 - val_loss: 0.3102
Epoch 33/300

Epoch 00033: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009922179, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2941 - val_loss: 0.3111
Epoch 34/300

Epoch 00034: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009919757, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.2826 - val_loss: 0.3042
Epoch 35/300

Epoch 00035: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009917335, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2886 - val_loss: 0.2855
Epoch 36/300

Epoch 00036: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009914914, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2785 - val_loss: 0.3346
Epoch 37/300

Epoch 00037: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009912493, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.3105 - val_loss: 0.2978
Epoch 38/300

Epoch 00038: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009910074, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2782 - val_loss: 0.2976
Epoch 39/300

Epoch 00039: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009907655, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2793 - val_loss: 0.2694
Epoch 40/300

Epoch 00040: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009905236, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2634 - val_loss: 0.2748
Epoch 41/300

Epoch 00041: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009902818, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2593 - val_loss: 0.2766
Epoch 42/300

Epoch 00042: LearningRateScheduler reducing learning rate to tf.Tensor(0.00099004, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2638 - val_loss: 0.3006
Epoch 43/300

Epoch 00043: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009897983, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2658 - val_loss: 0.2686
Epoch 44/300

Epoch 00044: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009895568, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.2544 - val_loss: 0.2757
Epoch 45/300

Epoch 00045: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009893152, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2826 - val_loss: 0.3102
Epoch 46/300

Epoch 00046: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009890737, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2645 - val_loss: 0.2827
Epoch 47/300

Epoch 00047: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009888322, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2654 - val_loss: 0.2650
Epoch 48/300

Epoch 00048: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009885909, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2578 - val_loss: 0.2543
Epoch 49/300

Epoch 00049: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009883496, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2747 - val_loss: 0.3798
Epoch 50/300

Epoch 00050: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009881082, shape=(), dtype=float32).
123/123 [==============================] - 10s 78ms/step - loss: 0.3208 - val_loss: 0.2522
Epoch 51/300

Epoch 00051: LearningRateScheduler reducing learning rate to tf.Tensor(0.000987867, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.2455 - val_loss: 0.2543
Epoch 52/300

Epoch 00052: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009876259, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2442 - val_loss: 0.2616
Epoch 53/300

Epoch 00053: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009873848, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2493 - val_loss: 0.2481
Epoch 54/300

Epoch 00054: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009871437, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.2367 - val_loss: 0.2688
Epoch 55/300

Epoch 00055: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009869027, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2497 - val_loss: 0.2593
Epoch 56/300

Epoch 00056: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009866619, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2377 - val_loss: 0.2790
Epoch 57/300

Epoch 00057: LearningRateScheduler reducing learning rate to tf.Tensor(0.000986421, shape=(), dtype=float32).
123/123 [==============================] - 10s 78ms/step - loss: 0.2513 - val_loss: 0.2448
Epoch 58/300

Epoch 00058: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009861803, shape=(), dtype=float32).
123/123 [==============================] - 10s 81ms/step - loss: 0.2319 - val_loss: 0.2421
Epoch 59/300

Epoch 00059: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009859395, shape=(), dtype=float32).
123/123 [==============================] - 10s 78ms/step - loss: 0.2331 - val_loss: 0.2835
Epoch 60/300

Epoch 00060: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009856988, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.2428 - val_loss: 0.2271
Epoch 61/300

Epoch 00061: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009854581, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2146 - val_loss: 0.2454
Epoch 62/300

Epoch 00062: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009852176, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2275 - val_loss: 0.2438
Epoch 63/300

Epoch 00063: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009849771, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2344 - val_loss: 0.2521
Epoch 64/300

Epoch 00064: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009847367, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2256 - val_loss: 0.2405
Epoch 65/300

Epoch 00065: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009844963, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2253 - val_loss: 0.2620
Epoch 66/300

Epoch 00066: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009842559, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2272 - val_loss: 0.2374
Epoch 67/300

Epoch 00067: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009840156, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2315 - val_loss: 0.2334
Epoch 68/300

Epoch 00068: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009837755, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2182 - val_loss: 0.2412
Epoch 69/300

Epoch 00069: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009835353, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2201 - val_loss: 0.2385
Epoch 70/300

Epoch 00070: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009832951, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2154 - val_loss: 0.2236
Epoch 71/300

Epoch 00071: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009830552, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2078 - val_loss: 0.2364
Epoch 72/300

Epoch 00072: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009828152, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2102 - val_loss: 0.2217
Epoch 73/300

Epoch 00073: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009825752, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2113 - val_loss: 0.2253
Epoch 74/300

Epoch 00074: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009823354, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2027 - val_loss: 0.2206
Epoch 75/300

Epoch 00075: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009820956, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2086 - val_loss: 0.2195
Epoch 76/300

Epoch 00076: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009818559, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2090 - val_loss: 0.2583
Epoch 77/300

Epoch 00077: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009816162, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2247 - val_loss: 0.2181
Epoch 78/300

Epoch 00078: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009813765, shape=(), dtype=float32).
123/123 [==============================] - 10s 82ms/step - loss: 0.2025 - val_loss: 0.3094
Epoch 79/300

Epoch 00079: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009811369, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2528 - val_loss: 0.2247
Epoch 80/300

Epoch 00080: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009808975, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2027 - val_loss: 0.2298
Epoch 81/300

Epoch 00081: LearningRateScheduler reducing learning rate to tf.Tensor(0.000980658, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2049 - val_loss: 0.2359
Epoch 82/300

Epoch 00082: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009804186, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2341 - val_loss: 0.2632
Epoch 83/300

Epoch 00083: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009801793, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2449 - val_loss: 0.2454
Epoch 84/300

Epoch 00084: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009799399, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2122 - val_loss: 0.2143
Epoch 85/300

Epoch 00085: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009797008, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2172 - val_loss: 0.2627
Epoch 86/300

Epoch 00086: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009794617, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2447 - val_loss: 0.2177
Epoch 87/300

Epoch 00087: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009792225, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.2645 - val_loss: 0.2555
Epoch 88/300

Epoch 00088: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009789835, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2230 - val_loss: 0.2210
Epoch 89/300

Epoch 00089: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009787445, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2039 - val_loss: 0.2179
Epoch 90/300

Epoch 00090: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009785056, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1977 - val_loss: 0.2556
Epoch 91/300

Epoch 00091: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009782667, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2174 - val_loss: 0.2589
Epoch 92/300

Epoch 00092: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009780279, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2223 - val_loss: 0.2137
Epoch 93/300

Epoch 00093: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009777892, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1950 - val_loss: 0.2196
Epoch 94/300

Epoch 00094: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009775504, shape=(), dtype=float32).
123/123 [==============================] - 10s 78ms/step - loss: 0.2028 - val_loss: 0.2100
Epoch 95/300

Epoch 00095: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009773119, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1874 - val_loss: 0.2230
Epoch 96/300

Epoch 00096: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009770732, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1853 - val_loss: 0.2074
Epoch 97/300

Epoch 00097: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009768348, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1828 - val_loss: 0.2342
Epoch 98/300

Epoch 00098: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009765963, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1992 - val_loss: 0.2211
Epoch 99/300

Epoch 00099: LearningRateScheduler reducing learning rate to tf.Tensor(0.00097635784, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1876 - val_loss: 0.1971
Epoch 100/300

Epoch 00100: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009761195, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1774 - val_loss: 0.1946
Epoch 101/300

Epoch 00101: LearningRateScheduler reducing learning rate to tf.Tensor(0.00097588124, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1747 - val_loss: 0.2084
Epoch 102/300

Epoch 00102: LearningRateScheduler reducing learning rate to tf.Tensor(0.00097564305, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1819 - val_loss: 0.2070
Epoch 103/300

Epoch 00103: LearningRateScheduler reducing learning rate to tf.Tensor(0.00097540487, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1770 - val_loss: 0.1964
Epoch 104/300

Epoch 00104: LearningRateScheduler reducing learning rate to tf.Tensor(0.00097516674, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1799 - val_loss: 0.2403
Epoch 105/300

Epoch 00105: LearningRateScheduler reducing learning rate to tf.Tensor(0.00097492867, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2006 - val_loss: 0.2337
Epoch 106/300

Epoch 00106: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009746907, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2217 - val_loss: 0.2182
Epoch 107/300

Epoch 00107: LearningRateScheduler reducing learning rate to tf.Tensor(0.00097445276, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1910 - val_loss: 0.2314
Epoch 108/300

Epoch 00108: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009742149, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1921 - val_loss: 0.2157
Epoch 109/300

Epoch 00109: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009739771, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1793 - val_loss: 0.2101
Epoch 110/300

Epoch 00110: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009737393, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1831 - val_loss: 0.2149
Epoch 111/300

Epoch 00111: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009735016, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1876 - val_loss: 0.2263
Epoch 112/300

Epoch 00112: LearningRateScheduler reducing learning rate to tf.Tensor(0.000973264, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2009 - val_loss: 0.2000
Epoch 113/300

Epoch 00113: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009730264, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1747 - val_loss: 0.1998
Epoch 114/300

Epoch 00114: LearningRateScheduler reducing learning rate to tf.Tensor(0.00097278884, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1757 - val_loss: 0.1957
Epoch 115/300

Epoch 00115: LearningRateScheduler reducing learning rate to tf.Tensor(0.00097255135, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1717 - val_loss: 0.1951
Epoch 116/300

Epoch 00116: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009723139, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1667 - val_loss: 0.2040
Epoch 117/300

Epoch 00117: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009720766, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1707 - val_loss: 0.2033
Epoch 118/300

Epoch 00118: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009718393, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1829 - val_loss: 0.2056
Epoch 119/300

Epoch 00119: LearningRateScheduler reducing learning rate to tf.Tensor(0.00097160204, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1776 - val_loss: 0.2071
Epoch 120/300

Epoch 00120: LearningRateScheduler reducing learning rate to tf.Tensor(0.00097136485, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1846 - val_loss: 0.2761
Epoch 121/300

Epoch 00121: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009711277, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2334 - val_loss: 0.2060
Epoch 122/300

Epoch 00122: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009708907, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1758 - val_loss: 0.1977
Epoch 123/300

Epoch 00123: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009706537, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1661 - val_loss: 0.2028
Epoch 124/300

Epoch 00124: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009704167, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1688 - val_loss: 0.1917
Epoch 125/300

Epoch 00125: LearningRateScheduler reducing learning rate to tf.Tensor(0.00097017986, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1625 - val_loss: 0.2162
Epoch 126/300

Epoch 00126: LearningRateScheduler reducing learning rate to tf.Tensor(0.00096994295, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1761 - val_loss: 0.1976
Epoch 127/300

Epoch 00127: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009697062, shape=(), dtype=float32).
123/123 [==============================] - 10s 82ms/step - loss: 0.1668 - val_loss: 0.1922
Epoch 128/300

Epoch 00128: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009694695, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1622 - val_loss: 0.1999
Epoch 129/300

Epoch 00129: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009692328, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1720 - val_loss: 0.1960
Epoch 130/300

Epoch 00130: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009689962, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1719 - val_loss: 0.1973
Epoch 131/300

Epoch 00131: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009687597, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1674 - val_loss: 0.2399
Epoch 132/300

Epoch 00132: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009685232, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1899 - val_loss: 0.2005
Epoch 133/300

Epoch 00133: LearningRateScheduler reducing learning rate to tf.Tensor(0.00096828677, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1646 - val_loss: 0.1893
Epoch 134/300

Epoch 00134: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009680504, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1548 - val_loss: 0.1925
Epoch 135/300

Epoch 00135: LearningRateScheduler reducing learning rate to tf.Tensor(0.00096781406, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1687 - val_loss: 0.1967
Epoch 136/300

Epoch 00136: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009675778, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1592 - val_loss: 0.1911
Epoch 137/300

Epoch 00137: LearningRateScheduler reducing learning rate to tf.Tensor(0.00096734165, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1587 - val_loss: 0.1889
Epoch 138/300

Epoch 00138: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009671055, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1810 - val_loss: 0.2164
Epoch 139/300

Epoch 00139: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009668694, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1728 - val_loss: 0.1896
Epoch 140/300

Epoch 00140: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009666334, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1596 - val_loss: 0.1905
Epoch 141/300

Epoch 00141: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009663974, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1533 - val_loss: 0.2048
Epoch 142/300

Epoch 00142: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009661615, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.2112 - val_loss: 0.2051
Epoch 143/300

Epoch 00143: LearningRateScheduler reducing learning rate to tf.Tensor(0.00096592563, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1690 - val_loss: 0.2195
Epoch 144/300

Epoch 00144: LearningRateScheduler reducing learning rate to tf.Tensor(0.00096568983, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1819 - val_loss: 0.1907
Epoch 145/300

Epoch 00145: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009654541, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1628 - val_loss: 0.1881
Epoch 146/300

Epoch 00146: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009652184, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1552 - val_loss: 0.1873
Epoch 147/300

Epoch 00147: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009649828, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1510 - val_loss: 0.2306
Epoch 148/300

Epoch 00148: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009647472, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1716 - val_loss: 0.1927
Epoch 149/300

Epoch 00149: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009645117, shape=(), dtype=float32).
123/123 [==============================] - 10s 77ms/step - loss: 0.1574 - val_loss: 0.1877
Epoch 150/300

Epoch 00150: LearningRateScheduler reducing learning rate to tf.Tensor(0.00096427626, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1687 - val_loss: 0.2102
Epoch 151/300

Epoch 00151: LearningRateScheduler reducing learning rate to tf.Tensor(0.00096404087, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1740 - val_loss: 0.2117
Epoch 152/300

Epoch 00152: LearningRateScheduler reducing learning rate to tf.Tensor(0.00096380553, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1647 - val_loss: 0.1868
Epoch 153/300

Epoch 00153: LearningRateScheduler reducing learning rate to tf.Tensor(0.00096357026, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1512 - val_loss: 0.1919
Epoch 154/300

Epoch 00154: LearningRateScheduler reducing learning rate to tf.Tensor(0.00096333504, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1514 - val_loss: 0.1871
Epoch 155/300

Epoch 00155: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009630999, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1490 - val_loss: 0.1867
Epoch 156/300

Epoch 00156: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009628647, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1500 - val_loss: 0.1851
Epoch 157/300

Epoch 00157: LearningRateScheduler reducing learning rate to tf.Tensor(0.00096262974, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1473 - val_loss: 0.1884
Epoch 158/300

Epoch 00158: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009623947, shape=(), dtype=float32).
123/123 [==============================] - 10s 78ms/step - loss: 0.1681 - val_loss: 0.2146
Epoch 159/300

Epoch 00159: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009621598, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1678 - val_loss: 0.1903
Epoch 160/300

Epoch 00160: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009619249, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1681 - val_loss: 0.1866
Epoch 161/300

Epoch 00161: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009616901, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1518 - val_loss: 0.1913
Epoch 162/300

Epoch 00162: LearningRateScheduler reducing learning rate to tf.Tensor(0.00096145534, shape=(), dtype=float32).
123/123 [==============================] - 10s 77ms/step - loss: 0.1684 - val_loss: 0.2465
Epoch 163/300

Epoch 00163: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009612206, shape=(), dtype=float32).
123/123 [==============================] - 10s 78ms/step - loss: 0.1854 - val_loss: 0.2001
Epoch 164/300

Epoch 00164: LearningRateScheduler reducing learning rate to tf.Tensor(0.000960986, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1559 - val_loss: 0.2003
Epoch 165/300

Epoch 00165: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009607514, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1651 - val_loss: 0.1920
Epoch 166/300

Epoch 00166: LearningRateScheduler reducing learning rate to tf.Tensor(0.00096051686, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1570 - val_loss: 0.2045
Epoch 167/300

Epoch 00167: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009602824, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1604 - val_loss: 0.1861
Epoch 168/300

Epoch 00168: LearningRateScheduler reducing learning rate to tf.Tensor(0.00096004794, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1629 - val_loss: 0.2228
Epoch 169/300

Epoch 00169: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009598136, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1672 - val_loss: 0.1889
Epoch 170/300

Epoch 00170: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095957925, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1457 - val_loss: 0.1833
Epoch 171/300

Epoch 00171: LearningRateScheduler reducing learning rate to tf.Tensor(0.000959345, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1453 - val_loss: 0.1872
Epoch 172/300

Epoch 00172: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095911085, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1529 - val_loss: 0.1853
Epoch 173/300

Epoch 00173: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095887674, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1463 - val_loss: 0.1878
Epoch 174/300

Epoch 00174: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095864263, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1418 - val_loss: 0.1825
Epoch 175/300

Epoch 00175: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095840864, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1437 - val_loss: 0.1910
Epoch 176/300

Epoch 00176: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009581747, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1426 - val_loss: 0.1976
Epoch 177/300

Epoch 00177: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095794076, shape=(), dtype=float32).
123/123 [==============================] - 10s 85ms/step - loss: 0.1411 - val_loss: 0.1864
Epoch 178/300

Epoch 00178: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095770694, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1567 - val_loss: 0.1906
Epoch 179/300

Epoch 00179: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009574731, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1435 - val_loss: 0.1813
Epoch 180/300

Epoch 00180: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095723936, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1381 - val_loss: 0.1881
Epoch 181/300

Epoch 00181: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009570057, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1468 - val_loss: 0.1939
Epoch 182/300

Epoch 00182: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095677207, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1545 - val_loss: 0.1916
Epoch 183/300

Epoch 00183: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095653854, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1480 - val_loss: 0.2007
Epoch 184/300

Epoch 00184: LearningRateScheduler reducing learning rate to tf.Tensor(0.000956305, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1469 - val_loss: 0.1919
Epoch 185/300

Epoch 00185: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009560716, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1891 - val_loss: 0.1980
Epoch 186/300

Epoch 00186: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009558382, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1515 - val_loss: 0.1897
Epoch 187/300

Epoch 00187: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095560483, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1456 - val_loss: 0.1892
Epoch 188/300

Epoch 00188: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009553716, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1419 - val_loss: 0.1796
Epoch 189/300

Epoch 00189: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095513836, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1324 - val_loss: 0.1781
Epoch 190/300

Epoch 00190: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009549052, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1316 - val_loss: 0.1885
Epoch 191/300

Epoch 00191: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009546721, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1325 - val_loss: 0.1781
Epoch 192/300

Epoch 00192: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095443905, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1288 - val_loss: 0.1782
Epoch 193/300

Epoch 00193: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095420604, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1283 - val_loss: 0.1776
Epoch 194/300

Epoch 00194: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009539731, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1332 - val_loss: 0.1799
Epoch 195/300

Epoch 00195: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009537402, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1304 - val_loss: 0.1775
Epoch 196/300

Epoch 00196: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095350744, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1306 - val_loss: 0.1841
Epoch 197/300

Epoch 00197: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095327466, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1389 - val_loss: 0.1847
Epoch 198/300

Epoch 00198: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095304195, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1326 - val_loss: 0.1832
Epoch 199/300

Epoch 00199: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009528093, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1331 - val_loss: 0.1852
Epoch 200/300

Epoch 00200: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009525767, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1325 - val_loss: 0.1788
Epoch 201/300

Epoch 00201: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095234415, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1274 - val_loss: 0.1847
Epoch 202/300

Epoch 00202: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095211173, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1316 - val_loss: 0.2079
Epoch 203/300

Epoch 00203: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095187925, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1611 - val_loss: 0.1971
Epoch 204/300

Epoch 00204: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009516469, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.2426 - val_loss: 0.2368
Epoch 205/300

Epoch 00205: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009514146, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1954 - val_loss: 0.2303
Epoch 206/300

Epoch 00206: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009511823, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1888 - val_loss: 0.2045
Epoch 207/300

Epoch 00207: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095095014, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1630 - val_loss: 0.2059
Epoch 208/300

Epoch 00208: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095071795, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1631 - val_loss: 0.1948
Epoch 209/300

Epoch 00209: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095048593, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1465 - val_loss: 0.1862
Epoch 210/300

Epoch 00210: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009502539, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1553 - val_loss: 0.1950
Epoch 211/300

Epoch 00211: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009500219, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1526 - val_loss: 0.1983
Epoch 212/300

Epoch 00212: LearningRateScheduler reducing learning rate to tf.Tensor(0.00094979, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1560 - val_loss: 0.2270
Epoch 213/300

Epoch 00213: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009495581, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1993 - val_loss: 0.1949
Epoch 214/300

Epoch 00214: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009493263, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1495 - val_loss: 0.1936
Epoch 215/300

Epoch 00215: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009490946, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1510 - val_loss: 0.2116
Epoch 216/300

Epoch 00216: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009488629, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1582 - val_loss: 0.1921
Epoch 217/300

Epoch 00217: LearningRateScheduler reducing learning rate to tf.Tensor(0.00094863126, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1439 - val_loss: 0.1886
Epoch 218/300

Epoch 00218: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009483997, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1402 - val_loss: 0.2196
Epoch 219/300

Epoch 00219: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009481682, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1573 - val_loss: 0.1885
Epoch 220/300

Epoch 00220: LearningRateScheduler reducing learning rate to tf.Tensor(0.00094793667, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1345 - val_loss: 0.1861
Epoch 221/300

Epoch 00221: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009477053, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1338 - val_loss: 0.1838
Epoch 222/300

Epoch 00222: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009474739, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1306 - val_loss: 0.1838
Epoch 223/300

Epoch 00223: LearningRateScheduler reducing learning rate to tf.Tensor(0.00094724266, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1312 - val_loss: 0.1871
Epoch 224/300

Epoch 00224: LearningRateScheduler reducing learning rate to tf.Tensor(0.00094701146, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1358 - val_loss: 0.1851
Epoch 225/300

Epoch 00225: LearningRateScheduler reducing learning rate to tf.Tensor(0.00094678026, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1319 - val_loss: 0.1892
Epoch 226/300

Epoch 00226: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009465491, shape=(), dtype=float32).
123/123 [==============================] - 10s 81ms/step - loss: 0.1319 - val_loss: 0.1829
Epoch 227/300

Epoch 00227: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009463181, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1275 - val_loss: 0.1846
Epoch 228/300

Epoch 00228: LearningRateScheduler reducing learning rate to tf.Tensor(0.00094608706, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1272 - val_loss: 0.1840
Epoch 229/300

Epoch 00229: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009458561, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1323 - val_loss: 0.2021
Epoch 230/300

Epoch 00230: LearningRateScheduler reducing learning rate to tf.Tensor(0.00094562524, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1406 - val_loss: 0.1846
Epoch 231/300

Epoch 00231: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009453944, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1309 - val_loss: 0.2040
Epoch 232/300

Epoch 00232: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009451636, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1419 - val_loss: 0.1829
Epoch 233/300

Epoch 00233: LearningRateScheduler reducing learning rate to tf.Tensor(0.00094493286, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1247 - val_loss: 0.1804
Epoch 234/300

Epoch 00234: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009447022, shape=(), dtype=float32).
123/123 [==============================] - 10s 78ms/step - loss: 0.1258 - val_loss: 0.2067
Epoch 235/300

Epoch 00235: LearningRateScheduler reducing learning rate to tf.Tensor(0.00094447157, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1542 - val_loss: 0.1928
Epoch 236/300

Epoch 00236: LearningRateScheduler reducing learning rate to tf.Tensor(0.000944241, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1352 - val_loss: 0.1827
Epoch 237/300

Epoch 00237: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009440105, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1284 - val_loss: 0.2282
Epoch 238/300

Epoch 00238: LearningRateScheduler reducing learning rate to tf.Tensor(0.00094378006, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1589 - val_loss: 0.1893
Epoch 239/300

Epoch 00239: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009435497, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1315 - val_loss: 0.1797
Epoch 240/300

Epoch 00240: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009433193, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1520 - val_loss: 0.1974
Epoch 241/300

Epoch 00241: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009430891, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1588 - val_loss: 0.1856
Epoch 242/300

Epoch 00242: LearningRateScheduler reducing learning rate to tf.Tensor(0.00094285887, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1421 - val_loss: 0.1884
Epoch 243/300

Epoch 00243: LearningRateScheduler reducing learning rate to tf.Tensor(0.00094262866, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1318 - val_loss: 0.1829
Epoch 244/300

Epoch 00244: LearningRateScheduler reducing learning rate to tf.Tensor(0.00094239856, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1269 - val_loss: 0.1814
Epoch 245/300

Epoch 00245: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009421685, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1246 - val_loss: 0.1970
Epoch 246/300

Epoch 00246: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009419385, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1361 - val_loss: 0.2174
Epoch 247/300

Epoch 00247: LearningRateScheduler reducing learning rate to tf.Tensor(0.00094170857, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1522 - val_loss: 0.1853
Epoch 248/300

Epoch 00248: LearningRateScheduler reducing learning rate to tf.Tensor(0.00094147865, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1326 - val_loss: 0.1819
Epoch 249/300

Epoch 00249: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009412489, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1229 - val_loss: 0.1975
Epoch 250/300

Epoch 00250: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009410191, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1348 - val_loss: 0.1946
Epoch 251/300

Epoch 00251: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009407894, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1507 - val_loss: 0.1870
Epoch 252/300

Epoch 00252: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009405597, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1250 - val_loss: 0.1788
Epoch 253/300

Epoch 00253: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009403301, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1191 - val_loss: 0.1804
Epoch 254/300

Epoch 00254: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009401005, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1299 - val_loss: 0.1831
Epoch 255/300

Epoch 00255: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093987107, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1220 - val_loss: 0.1888
Epoch 256/300

Epoch 00256: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009396416, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1268 - val_loss: 0.1847
Epoch 257/300

Epoch 00257: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009394122, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1260 - val_loss: 0.1796
Epoch 258/300

Epoch 00258: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093918294, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1148 - val_loss: 0.1787
Epoch 259/300

Epoch 00259: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093895366, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1148 - val_loss: 0.1897
Epoch 260/300

Epoch 00260: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093872444, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1210 - val_loss: 0.1812
Epoch 261/300

Epoch 00261: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009384953, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1135 - val_loss: 0.1810
Epoch 262/300

Epoch 00262: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009382662, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1139 - val_loss: 0.1946
Epoch 263/300

Epoch 00263: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009380371, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1383 - val_loss: 0.2060
Epoch 264/300

Epoch 00264: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093780813, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1399 - val_loss: 0.1798
Epoch 265/300

Epoch 00265: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009375792, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1164 - val_loss: 0.1784
Epoch 266/300

Epoch 00266: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009373503, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1133 - val_loss: 0.1769
Epoch 267/300

Epoch 00267: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009371216, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1104 - val_loss: 0.1757
Epoch 268/300

Epoch 00268: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009368928, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1127 - val_loss: 0.1839
Epoch 269/300

Epoch 00269: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093666406, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1131 - val_loss: 0.1789
Epoch 270/300

Epoch 00270: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093643536, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1112 - val_loss: 0.1763
Epoch 271/300

Epoch 00271: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009362068, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1078 - val_loss: 0.1778
Epoch 272/300

Epoch 00272: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093597826, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1076 - val_loss: 0.1781
Epoch 273/300

Epoch 00273: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093574973, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1133 - val_loss: 0.1880
Epoch 274/300

Epoch 00274: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009355213, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1180 - val_loss: 0.1903
Epoch 275/300

Epoch 00275: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009352929, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1357 - val_loss: 0.1885
Epoch 276/300

Epoch 00276: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009350647, shape=(), dtype=float32).
123/123 [==============================] - 10s 82ms/step - loss: 0.1226 - val_loss: 0.1980
Epoch 277/300

Epoch 00277: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009348364, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1314 - val_loss: 0.1878
Epoch 278/300

Epoch 00278: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093460816, shape=(), dtype=float32).
123/123 [==============================] - 10s 78ms/step - loss: 0.1225 - val_loss: 0.1814
Epoch 279/300

Epoch 00279: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093438005, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1137 - val_loss: 0.1803
Epoch 280/300

Epoch 00280: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093415193, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1130 - val_loss: 0.1777
Epoch 281/300

Epoch 00281: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009339239, shape=(), dtype=float32).
123/123 [==============================] - 10s 77ms/step - loss: 0.1130 - val_loss: 0.1781
Epoch 282/300

Epoch 00282: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009336959, shape=(), dtype=float32).
123/123 [==============================] - 10s 77ms/step - loss: 0.1098 - val_loss: 0.1815
Epoch 283/300

Epoch 00283: LearningRateScheduler reducing learning rate to tf.Tensor(0.000933468, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1131 - val_loss: 0.1791
Epoch 284/300

Epoch 00284: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009332401, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1098 - val_loss: 0.2229
Epoch 285/300

Epoch 00285: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009330123, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1444 - val_loss: 0.1819
Epoch 286/300

Epoch 00286: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009327845, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1190 - val_loss: 0.1842
Epoch 287/300

Epoch 00287: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009325568, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1136 - val_loss: 0.1788
Epoch 288/300

Epoch 00288: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093232916, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1067 - val_loss: 0.1781
Epoch 289/300

Epoch 00289: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093210157, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1058 - val_loss: 0.1777
Epoch 290/300

Epoch 00290: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093187403, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1065 - val_loss: 0.1797
Epoch 291/300

Epoch 00291: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093164656, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1124 - val_loss: 0.1914
Epoch 292/300

Epoch 00292: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093141914, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1227 - val_loss: 0.1799
Epoch 293/300

Epoch 00293: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009311917, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1095 - val_loss: 0.1794
Epoch 294/300

Epoch 00294: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009309644, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1067 - val_loss: 0.2079
Epoch 295/300

Epoch 00295: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009307372, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1283 - val_loss: 0.1801
Epoch 296/300

Epoch 00296: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093051, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1088 - val_loss: 0.1781
Epoch 297/300

Epoch 00297: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009302828, shape=(), dtype=float32).
123/123 [==============================] - 10s 77ms/step - loss: 0.1031 - val_loss: 0.1780
Epoch 298/300

Epoch 00298: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093005574, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1032 - val_loss: 0.1754
Epoch 299/300

Epoch 00299: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009298287, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1014 - val_loss: 0.1812
Epoch 300/300

Epoch 00300: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009296017, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1018 - val_loss: 0.1756
--------------- > Fold 3 < ---------------
Epoch 1/300

Epoch 00001: LearningRateScheduler reducing learning rate to tf.Tensor(0.001, shape=(), dtype=float32).
123/123 [==============================] - 49s 188ms/step - loss: 3.6805 - val_loss: 0.9996
Epoch 2/300

Epoch 00002: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009997559, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.9708 - val_loss: 0.7696
Epoch 3/300

Epoch 00003: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009995119, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.7339 - val_loss: 0.7479
Epoch 4/300

Epoch 00004: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009992679, shape=(), dtype=float32).
123/123 [==============================] - 10s 80ms/step - loss: 0.6462 - val_loss: 0.5865
Epoch 5/300

Epoch 00005: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009990239, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.6050 - val_loss: 0.5983
Epoch 6/300

Epoch 00006: LearningRateScheduler reducing learning rate to tf.Tensor(0.00099878, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.5858 - val_loss: 0.5204
Epoch 7/300

Epoch 00007: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009985362, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.5382 - val_loss: 0.4826
Epoch 8/300

Epoch 00008: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009982925, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.4893 - val_loss: 0.4672
Epoch 9/300

Epoch 00009: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009980488, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.4608 - val_loss: 0.4762
Epoch 10/300

Epoch 00010: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009978052, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.4545 - val_loss: 0.4322
Epoch 11/300

Epoch 00011: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009975616, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.4285 - val_loss: 0.4149
Epoch 12/300

Epoch 00012: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009973181, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.4194 - val_loss: 0.4195
Epoch 13/300

Epoch 00013: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009970746, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.4083 - val_loss: 0.3873
Epoch 14/300

Epoch 00014: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009968312, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.3924 - val_loss: 0.4155
Epoch 15/300

Epoch 00015: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009965879, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.4250 - val_loss: 0.3892
Epoch 16/300

Epoch 00016: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009963446, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.4172 - val_loss: 0.4054
Epoch 17/300

Epoch 00017: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009961014, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.3750 - val_loss: 0.3771
Epoch 18/300

Epoch 00018: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009958582, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.3561 - val_loss: 0.3399
Epoch 19/300

Epoch 00019: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009956151, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.3456 - val_loss: 0.3397
Epoch 20/300

Epoch 00020: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009953721, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.3459 - val_loss: 0.3613
Epoch 21/300

Epoch 00021: LearningRateScheduler reducing learning rate to tf.Tensor(0.000995129, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.3479 - val_loss: 0.3261
Epoch 22/300

Epoch 00022: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009948862, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.3296 - val_loss: 0.3466
Epoch 23/300

Epoch 00023: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009946433, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.3248 - val_loss: 0.3235
Epoch 24/300

Epoch 00024: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009944005, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.3948 - val_loss: 0.3394
Epoch 25/300

Epoch 00025: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009941577, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.3348 - val_loss: 0.3094
Epoch 26/300

Epoch 00026: LearningRateScheduler reducing learning rate to tf.Tensor(0.000993915, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.3123 - val_loss: 0.3336
Epoch 27/300

Epoch 00027: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009936724, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.3278 - val_loss: 0.3192
Epoch 28/300

Epoch 00028: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009934298, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.3191 - val_loss: 0.2947
Epoch 29/300

Epoch 00029: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009931873, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2951 - val_loss: 0.3299
Epoch 30/300

Epoch 00030: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009929449, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.3270 - val_loss: 0.3002
Epoch 31/300

Epoch 00031: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009927024, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.3070 - val_loss: 0.3117
Epoch 32/300

Epoch 00032: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009924602, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.2997 - val_loss: 0.3076
Epoch 33/300

Epoch 00033: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009922179, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2947 - val_loss: 0.3256
Epoch 34/300

Epoch 00034: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009919757, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.3094 - val_loss: 0.2951
Epoch 35/300

Epoch 00035: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009917335, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2884 - val_loss: 0.2755
Epoch 36/300

Epoch 00036: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009914914, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2809 - val_loss: 0.2966
Epoch 37/300

Epoch 00037: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009912493, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.2987 - val_loss: 0.2886
Epoch 38/300

Epoch 00038: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009910074, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.3013 - val_loss: 0.3052
Epoch 39/300

Epoch 00039: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009907655, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.2772 - val_loss: 0.2795
Epoch 40/300

Epoch 00040: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009905236, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2877 - val_loss: 0.2649
Epoch 41/300

Epoch 00041: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009902818, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2646 - val_loss: 0.2661
Epoch 42/300

Epoch 00042: LearningRateScheduler reducing learning rate to tf.Tensor(0.00099004, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2937 - val_loss: 0.2775
Epoch 43/300

Epoch 00043: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009897983, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2701 - val_loss: 0.2813
Epoch 44/300

Epoch 00044: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009895568, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2741 - val_loss: 0.2634
Epoch 45/300

Epoch 00045: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009893152, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2602 - val_loss: 0.2792
Epoch 46/300

Epoch 00046: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009890737, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2608 - val_loss: 0.2874
Epoch 47/300

Epoch 00047: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009888322, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.2777 - val_loss: 0.2755
Epoch 48/300

Epoch 00048: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009885909, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2735 - val_loss: 0.2867
Epoch 49/300

Epoch 00049: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009883496, shape=(), dtype=float32).
123/123 [==============================] - 10s 82ms/step - loss: 0.2671 - val_loss: 0.2658
Epoch 50/300

Epoch 00050: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009881082, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2583 - val_loss: 0.2524
Epoch 51/300

Epoch 00051: LearningRateScheduler reducing learning rate to tf.Tensor(0.000987867, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.2441 - val_loss: 0.2562
Epoch 52/300

Epoch 00052: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009876259, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2586 - val_loss: 0.2493
Epoch 53/300

Epoch 00053: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009873848, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2362 - val_loss: 0.2454
Epoch 54/300

Epoch 00054: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009871437, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2359 - val_loss: 0.2484
Epoch 55/300

Epoch 00055: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009869027, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.2639 - val_loss: 0.2485
Epoch 56/300

Epoch 00056: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009866619, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.2568 - val_loss: 0.2623
Epoch 57/300

Epoch 00057: LearningRateScheduler reducing learning rate to tf.Tensor(0.000986421, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.2550 - val_loss: 0.2723
Epoch 58/300

Epoch 00058: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009861803, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2515 - val_loss: 0.3328
Epoch 59/300

Epoch 00059: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009859395, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.3093 - val_loss: 0.2567
Epoch 60/300

Epoch 00060: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009856988, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.2517 - val_loss: 0.2595
Epoch 61/300

Epoch 00061: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009854581, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2353 - val_loss: 0.3246
Epoch 62/300

Epoch 00062: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009852176, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.2692 - val_loss: 0.2450
Epoch 63/300

Epoch 00063: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009849771, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.2366 - val_loss: 0.2465
Epoch 64/300

Epoch 00064: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009847367, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2449 - val_loss: 0.2304
Epoch 65/300

Epoch 00065: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009844963, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2357 - val_loss: 0.2296
Epoch 66/300

Epoch 00066: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009842559, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2450 - val_loss: 0.2410
Epoch 67/300

Epoch 00067: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009840156, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2333 - val_loss: 0.2459
Epoch 68/300

Epoch 00068: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009837755, shape=(), dtype=float32).
123/123 [==============================] - 10s 77ms/step - loss: 0.2287 - val_loss: 0.2348
Epoch 69/300

Epoch 00069: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009835353, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2298 - val_loss: 0.2386
Epoch 70/300

Epoch 00070: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009832951, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.2362 - val_loss: 0.2832
Epoch 71/300

Epoch 00071: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009830552, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.2445 - val_loss: 0.2382
Epoch 72/300

Epoch 00072: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009828152, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.2302 - val_loss: 0.2280
Epoch 73/300

Epoch 00073: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009825752, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2160 - val_loss: 0.2242
Epoch 74/300

Epoch 00074: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009823354, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.2410 - val_loss: 0.2843
Epoch 75/300

Epoch 00075: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009820956, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.2550 - val_loss: 0.2436
Epoch 76/300

Epoch 00076: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009818559, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2270 - val_loss: 0.2857
Epoch 77/300

Epoch 00077: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009816162, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.2911 - val_loss: 0.2299
Epoch 78/300

Epoch 00078: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009813765, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.2163 - val_loss: 0.2496
Epoch 79/300

Epoch 00079: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009811369, shape=(), dtype=float32).
123/123 [==============================] - 10s 77ms/step - loss: 0.2266 - val_loss: 0.2200
Epoch 80/300

Epoch 00080: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009808975, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.2122 - val_loss: 0.2229
Epoch 81/300

Epoch 00081: LearningRateScheduler reducing learning rate to tf.Tensor(0.000980658, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.2070 - val_loss: 0.2331
Epoch 82/300

Epoch 00082: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009804186, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.2102 - val_loss: 0.2256
Epoch 83/300

Epoch 00083: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009801793, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.2665 - val_loss: 0.2686
Epoch 84/300

Epoch 00084: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009799399, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.2659 - val_loss: 0.3194
Epoch 85/300

Epoch 00085: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009797008, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2885 - val_loss: 0.2472
Epoch 86/300

Epoch 00086: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009794617, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.2505 - val_loss: 0.2323
Epoch 87/300

Epoch 00087: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009792225, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2193 - val_loss: 0.2453
Epoch 88/300

Epoch 00088: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009789835, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.2254 - val_loss: 0.2343
Epoch 89/300

Epoch 00089: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009787445, shape=(), dtype=float32).
123/123 [==============================] - 10s 77ms/step - loss: 0.2355 - val_loss: 0.2979
Epoch 90/300

Epoch 00090: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009785056, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2628 - val_loss: 0.2369
Epoch 91/300

Epoch 00091: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009782667, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2250 - val_loss: 0.2312
Epoch 92/300

Epoch 00092: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009780279, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.2125 - val_loss: 0.2150
Epoch 93/300

Epoch 00093: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009777892, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.2051 - val_loss: 0.2324
Epoch 94/300

Epoch 00094: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009775504, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2087 - val_loss: 0.2424
Epoch 95/300

Epoch 00095: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009773119, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.2088 - val_loss: 0.2220
Epoch 96/300

Epoch 00096: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009770732, shape=(), dtype=float32).
123/123 [==============================] - 10s 77ms/step - loss: 0.2060 - val_loss: 0.2143
Epoch 97/300

Epoch 00097: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009768348, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1957 - val_loss: 0.2078
Epoch 98/300

Epoch 00098: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009765963, shape=(), dtype=float32).
123/123 [==============================] - 10s 78ms/step - loss: 0.1964 - val_loss: 0.2014
Epoch 99/300

Epoch 00099: LearningRateScheduler reducing learning rate to tf.Tensor(0.00097635784, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1917 - val_loss: 0.2084
Epoch 100/300

Epoch 00100: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009761195, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1964 - val_loss: 0.2107
Epoch 101/300

Epoch 00101: LearningRateScheduler reducing learning rate to tf.Tensor(0.00097588124, shape=(), dtype=float32).
123/123 [==============================] - 10s 83ms/step - loss: 0.1877 - val_loss: 0.1992
Epoch 102/300

Epoch 00102: LearningRateScheduler reducing learning rate to tf.Tensor(0.00097564305, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1983 - val_loss: 0.2106
Epoch 103/300

Epoch 00103: LearningRateScheduler reducing learning rate to tf.Tensor(0.00097540487, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1961 - val_loss: 0.2141
Epoch 104/300

Epoch 00104: LearningRateScheduler reducing learning rate to tf.Tensor(0.00097516674, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1942 - val_loss: 0.2027
Epoch 105/300

Epoch 00105: LearningRateScheduler reducing learning rate to tf.Tensor(0.00097492867, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1840 - val_loss: 0.2152
Epoch 106/300

Epoch 00106: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009746907, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1906 - val_loss: 0.2012
Epoch 107/300

Epoch 00107: LearningRateScheduler reducing learning rate to tf.Tensor(0.00097445276, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1968 - val_loss: 0.2143
Epoch 108/300

Epoch 00108: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009742149, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1966 - val_loss: 0.2149
Epoch 109/300

Epoch 00109: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009739771, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1957 - val_loss: 0.2053
Epoch 110/300

Epoch 00110: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009737393, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1809 - val_loss: 0.2002
Epoch 111/300

Epoch 00111: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009735016, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1823 - val_loss: 0.2026
Epoch 112/300

Epoch 00112: LearningRateScheduler reducing learning rate to tf.Tensor(0.000973264, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1779 - val_loss: 0.2015
Epoch 113/300

Epoch 00113: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009730264, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1807 - val_loss: 0.2091
Epoch 114/300

Epoch 00114: LearningRateScheduler reducing learning rate to tf.Tensor(0.00097278884, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1880 - val_loss: 0.1954
Epoch 115/300

Epoch 00115: LearningRateScheduler reducing learning rate to tf.Tensor(0.00097255135, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1786 - val_loss: 0.2183
Epoch 116/300

Epoch 00116: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009723139, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1981 - val_loss: 0.2141
Epoch 117/300

Epoch 00117: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009720766, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1951 - val_loss: 0.2099
Epoch 118/300

Epoch 00118: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009718393, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1816 - val_loss: 0.1992
Epoch 119/300

Epoch 00119: LearningRateScheduler reducing learning rate to tf.Tensor(0.00097160204, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1713 - val_loss: 0.1900
Epoch 120/300

Epoch 00120: LearningRateScheduler reducing learning rate to tf.Tensor(0.00097136485, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1724 - val_loss: 0.1929
Epoch 121/300

Epoch 00121: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009711277, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1723 - val_loss: 0.1927
Epoch 122/300

Epoch 00122: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009708907, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1806 - val_loss: 0.2042
Epoch 123/300

Epoch 00123: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009706537, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1913 - val_loss: 0.2127
Epoch 124/300

Epoch 00124: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009704167, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1809 - val_loss: 0.1922
Epoch 125/300

Epoch 00125: LearningRateScheduler reducing learning rate to tf.Tensor(0.00097017986, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1783 - val_loss: 0.2072
Epoch 126/300

Epoch 00126: LearningRateScheduler reducing learning rate to tf.Tensor(0.00096994295, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1838 - val_loss: 0.2530
Epoch 127/300

Epoch 00127: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009697062, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2035 - val_loss: 0.1936
Epoch 128/300

Epoch 00128: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009694695, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1702 - val_loss: 0.1896
Epoch 129/300

Epoch 00129: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009692328, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1663 - val_loss: 0.1963
Epoch 130/300

Epoch 00130: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009689962, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1800 - val_loss: 0.1985
Epoch 131/300

Epoch 00131: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009687597, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1724 - val_loss: 0.1885
Epoch 132/300

Epoch 00132: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009685232, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1678 - val_loss: 0.2124
Epoch 133/300

Epoch 00133: LearningRateScheduler reducing learning rate to tf.Tensor(0.00096828677, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1764 - val_loss: 0.1925
Epoch 134/300

Epoch 00134: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009680504, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1616 - val_loss: 0.1966
Epoch 135/300

Epoch 00135: LearningRateScheduler reducing learning rate to tf.Tensor(0.00096781406, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1633 - val_loss: 0.2190
Epoch 136/300

Epoch 00136: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009675778, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1773 - val_loss: 0.1879
Epoch 137/300

Epoch 00137: LearningRateScheduler reducing learning rate to tf.Tensor(0.00096734165, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1789 - val_loss: 0.1987
Epoch 138/300

Epoch 00138: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009671055, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1697 - val_loss: 0.1981
Epoch 139/300

Epoch 00139: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009668694, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1619 - val_loss: 0.1911
Epoch 140/300

Epoch 00140: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009666334, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1579 - val_loss: 0.1924
Epoch 141/300

Epoch 00141: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009663974, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1615 - val_loss: 0.1880
Epoch 142/300

Epoch 00142: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009661615, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1615 - val_loss: 0.1879
Epoch 143/300

Epoch 00143: LearningRateScheduler reducing learning rate to tf.Tensor(0.00096592563, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1671 - val_loss: 0.1882
Epoch 144/300

Epoch 00144: LearningRateScheduler reducing learning rate to tf.Tensor(0.00096568983, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1586 - val_loss: 0.2086
Epoch 145/300

Epoch 00145: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009654541, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1657 - val_loss: 0.1888
Epoch 146/300

Epoch 00146: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009652184, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1623 - val_loss: 0.1855
Epoch 147/300

Epoch 00147: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009649828, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1567 - val_loss: 0.1814
Epoch 148/300

Epoch 00148: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009647472, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1552 - val_loss: 0.1861
Epoch 149/300

Epoch 00149: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009645117, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1520 - val_loss: 0.1883
Epoch 150/300

Epoch 00150: LearningRateScheduler reducing learning rate to tf.Tensor(0.00096427626, shape=(), dtype=float32).
123/123 [==============================] - 10s 81ms/step - loss: 0.1583 - val_loss: 0.1853
Epoch 151/300

Epoch 00151: LearningRateScheduler reducing learning rate to tf.Tensor(0.00096404087, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1562 - val_loss: 0.2125
Epoch 152/300

Epoch 00152: LearningRateScheduler reducing learning rate to tf.Tensor(0.00096380553, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.2504 - val_loss: 0.2146
Epoch 153/300

Epoch 00153: LearningRateScheduler reducing learning rate to tf.Tensor(0.00096357026, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1775 - val_loss: 0.1981
Epoch 154/300

Epoch 00154: LearningRateScheduler reducing learning rate to tf.Tensor(0.00096333504, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1629 - val_loss: 0.1845
Epoch 155/300

Epoch 00155: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009630999, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1577 - val_loss: 0.1842
Epoch 156/300

Epoch 00156: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009628647, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1538 - val_loss: 0.1843
Epoch 157/300

Epoch 00157: LearningRateScheduler reducing learning rate to tf.Tensor(0.00096262974, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1498 - val_loss: 0.1855
Epoch 158/300

Epoch 00158: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009623947, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1562 - val_loss: 0.1833
Epoch 159/300

Epoch 00159: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009621598, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1522 - val_loss: 0.1864
Epoch 160/300

Epoch 00160: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009619249, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1481 - val_loss: 0.1828
Epoch 161/300

Epoch 00161: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009616901, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1441 - val_loss: 0.1857
Epoch 162/300

Epoch 00162: LearningRateScheduler reducing learning rate to tf.Tensor(0.00096145534, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1530 - val_loss: 0.2002
Epoch 163/300

Epoch 00163: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009612206, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1634 - val_loss: 0.1850
Epoch 164/300

Epoch 00164: LearningRateScheduler reducing learning rate to tf.Tensor(0.000960986, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1522 - val_loss: 0.1881
Epoch 165/300

Epoch 00165: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009607514, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1511 - val_loss: 0.1928
Epoch 166/300

Epoch 00166: LearningRateScheduler reducing learning rate to tf.Tensor(0.00096051686, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1536 - val_loss: 0.1938
Epoch 167/300

Epoch 00167: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009602824, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1596 - val_loss: 0.1821
Epoch 168/300

Epoch 00168: LearningRateScheduler reducing learning rate to tf.Tensor(0.00096004794, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1465 - val_loss: 0.1815
Epoch 169/300

Epoch 00169: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009598136, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1514 - val_loss: 0.2020
Epoch 170/300

Epoch 00170: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095957925, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1638 - val_loss: 0.1931
Epoch 171/300

Epoch 00171: LearningRateScheduler reducing learning rate to tf.Tensor(0.000959345, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1648 - val_loss: 0.1850
Epoch 172/300

Epoch 00172: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095911085, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1492 - val_loss: 0.1891
Epoch 173/300

Epoch 00173: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095887674, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1502 - val_loss: 0.1935
Epoch 174/300

Epoch 00174: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095864263, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1657 - val_loss: 0.1830
Epoch 175/300

Epoch 00175: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095840864, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1513 - val_loss: 0.1917
Epoch 176/300

Epoch 00176: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009581747, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1522 - val_loss: 0.1941
Epoch 177/300

Epoch 00177: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095794076, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1501 - val_loss: 0.1883
Epoch 178/300

Epoch 00178: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095770694, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1503 - val_loss: 0.1964
Epoch 179/300

Epoch 00179: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009574731, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1524 - val_loss: 0.1803
Epoch 180/300

Epoch 00180: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095723936, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1363 - val_loss: 0.1815
Epoch 181/300

Epoch 00181: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009570057, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1381 - val_loss: 0.1848
Epoch 182/300

Epoch 00182: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095677207, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1349 - val_loss: 0.1786
Epoch 183/300

Epoch 00183: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095653854, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1349 - val_loss: 0.1798
Epoch 184/300

Epoch 00184: LearningRateScheduler reducing learning rate to tf.Tensor(0.000956305, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1393 - val_loss: 0.1930
Epoch 185/300

Epoch 00185: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009560716, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1422 - val_loss: 0.1985
Epoch 186/300

Epoch 00186: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009558382, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1470 - val_loss: 0.1780
Epoch 187/300

Epoch 00187: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095560483, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1389 - val_loss: 0.1792
Epoch 188/300

Epoch 00188: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009553716, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1353 - val_loss: 0.1781
Epoch 189/300

Epoch 00189: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095513836, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1335 - val_loss: 0.1782
Epoch 190/300

Epoch 00190: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009549052, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1339 - val_loss: 0.1744
Epoch 191/300

Epoch 00191: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009546721, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1334 - val_loss: 0.1972
Epoch 192/300

Epoch 00192: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095443905, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1508 - val_loss: 0.1872
Epoch 193/300

Epoch 00193: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095420604, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1390 - val_loss: 0.3114
Epoch 194/300

Epoch 00194: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009539731, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.2260 - val_loss: 0.1879
Epoch 195/300

Epoch 00195: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009537402, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1447 - val_loss: 0.1841
Epoch 196/300

Epoch 00196: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095350744, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1371 - val_loss: 0.1807
Epoch 197/300

Epoch 00197: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095327466, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1334 - val_loss: 0.1798
Epoch 198/300

Epoch 00198: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095304195, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1312 - val_loss: 0.1746
Epoch 199/300

Epoch 00199: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009528093, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1274 - val_loss: 0.1745
Epoch 200/300

Epoch 00200: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009525767, shape=(), dtype=float32).
123/123 [==============================] - 10s 81ms/step - loss: 0.1262 - val_loss: 0.1803
Epoch 201/300

Epoch 00201: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095234415, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1264 - val_loss: 0.1737
Epoch 202/300

Epoch 00202: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095211173, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1416 - val_loss: 0.1782
Epoch 203/300

Epoch 00203: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095187925, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1335 - val_loss: 0.1817
Epoch 204/300

Epoch 00204: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009516469, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1294 - val_loss: 0.1779
Epoch 205/300

Epoch 00205: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009514146, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1289 - val_loss: 0.1727
Epoch 206/300

Epoch 00206: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009511823, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1261 - val_loss: 0.1781
Epoch 207/300

Epoch 00207: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095095014, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1437 - val_loss: 0.1791
Epoch 208/300

Epoch 00208: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095071795, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1365 - val_loss: 0.1785
Epoch 209/300

Epoch 00209: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095048593, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1260 - val_loss: 0.1832
Epoch 210/300

Epoch 00210: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009502539, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1302 - val_loss: 0.1737
Epoch 211/300

Epoch 00211: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009500219, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1217 - val_loss: 0.1762
Epoch 212/300

Epoch 00212: LearningRateScheduler reducing learning rate to tf.Tensor(0.00094979, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1211 - val_loss: 0.1775
Epoch 213/300

Epoch 00213: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009495581, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1254 - val_loss: 0.1816
Epoch 214/300

Epoch 00214: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009493263, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1450 - val_loss: 0.1848
Epoch 215/300

Epoch 00215: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009490946, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1361 - val_loss: 0.1850
Epoch 216/300

Epoch 00216: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009488629, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1332 - val_loss: 0.1801
Epoch 217/300

Epoch 00217: LearningRateScheduler reducing learning rate to tf.Tensor(0.00094863126, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1310 - val_loss: 0.1929
Epoch 218/300

Epoch 00218: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009483997, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1275 - val_loss: 0.1725
Epoch 219/300

Epoch 00219: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009481682, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1375 - val_loss: 0.1811
Epoch 220/300

Epoch 00220: LearningRateScheduler reducing learning rate to tf.Tensor(0.00094793667, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1302 - val_loss: 0.1898
Epoch 221/300

Epoch 00221: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009477053, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1323 - val_loss: 0.1733
Epoch 222/300

Epoch 00222: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009474739, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1203 - val_loss: 0.1833
Epoch 223/300

Epoch 00223: LearningRateScheduler reducing learning rate to tf.Tensor(0.00094724266, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1244 - val_loss: 0.1742
Epoch 224/300

Epoch 00224: LearningRateScheduler reducing learning rate to tf.Tensor(0.00094701146, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1189 - val_loss: 0.1888
Epoch 225/300

Epoch 00225: LearningRateScheduler reducing learning rate to tf.Tensor(0.00094678026, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1294 - val_loss: 0.1729
Epoch 226/300

Epoch 00226: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009465491, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1181 - val_loss: 0.1723
Epoch 227/300

Epoch 00227: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009463181, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1207 - val_loss: 0.1720
Epoch 228/300

Epoch 00228: LearningRateScheduler reducing learning rate to tf.Tensor(0.00094608706, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1165 - val_loss: 0.1762
Epoch 229/300

Epoch 00229: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009458561, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1194 - val_loss: 0.1725
Epoch 230/300

Epoch 00230: LearningRateScheduler reducing learning rate to tf.Tensor(0.00094562524, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1232 - val_loss: 0.1824
Epoch 231/300

Epoch 00231: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009453944, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1395 - val_loss: 0.1774
Epoch 232/300

Epoch 00232: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009451636, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1252 - val_loss: 0.1937
Epoch 233/300

Epoch 00233: LearningRateScheduler reducing learning rate to tf.Tensor(0.00094493286, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1347 - val_loss: 0.1810
Epoch 234/300

Epoch 00234: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009447022, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1222 - val_loss: 0.1733
Epoch 235/300

Epoch 00235: LearningRateScheduler reducing learning rate to tf.Tensor(0.00094447157, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1155 - val_loss: 0.1727
Epoch 236/300

Epoch 00236: LearningRateScheduler reducing learning rate to tf.Tensor(0.000944241, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1166 - val_loss: 0.1736
Epoch 237/300

Epoch 00237: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009440105, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1163 - val_loss: 0.1730
Epoch 238/300

Epoch 00238: LearningRateScheduler reducing learning rate to tf.Tensor(0.00094378006, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1138 - val_loss: 0.1727
Epoch 239/300

Epoch 00239: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009435497, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1128 - val_loss: 0.1743
Epoch 240/300

Epoch 00240: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009433193, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1117 - val_loss: 0.1734
Epoch 241/300

Epoch 00241: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009430891, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1111 - val_loss: 0.1710
Epoch 242/300

Epoch 00242: LearningRateScheduler reducing learning rate to tf.Tensor(0.00094285887, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1105 - val_loss: 0.1731
Epoch 243/300

Epoch 00243: LearningRateScheduler reducing learning rate to tf.Tensor(0.00094262866, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1110 - val_loss: 0.1714
Epoch 244/300

Epoch 00244: LearningRateScheduler reducing learning rate to tf.Tensor(0.00094239856, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1086 - val_loss: 0.1716
Epoch 245/300

Epoch 00245: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009421685, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1080 - val_loss: 0.1711
Epoch 246/300

Epoch 00246: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009419385, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1108 - val_loss: 0.1726
Epoch 247/300

Epoch 00247: LearningRateScheduler reducing learning rate to tf.Tensor(0.00094170857, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1083 - val_loss: 0.1714
Epoch 248/300

Epoch 00248: LearningRateScheduler reducing learning rate to tf.Tensor(0.00094147865, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1071 - val_loss: 0.1721
Epoch 249/300

Epoch 00249: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009412489, shape=(), dtype=float32).
123/123 [==============================] - 10s 81ms/step - loss: 0.1070 - val_loss: 0.1769
Epoch 250/300

Epoch 00250: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009410191, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1077 - val_loss: 0.1740
Epoch 251/300

Epoch 00251: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009407894, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1070 - val_loss: 0.1723
Epoch 252/300

Epoch 00252: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009405597, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1063 - val_loss: 0.1717
Epoch 253/300

Epoch 00253: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009403301, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1059 - val_loss: 0.1708
Epoch 254/300

Epoch 00254: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009401005, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1048 - val_loss: 0.1723
Epoch 255/300

Epoch 00255: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093987107, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1065 - val_loss: 0.1742
Epoch 256/300

Epoch 00256: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009396416, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1069 - val_loss: 0.1751
Epoch 257/300

Epoch 00257: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009394122, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1062 - val_loss: 0.1770
Epoch 258/300

Epoch 00258: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093918294, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1070 - val_loss: 0.1751
Epoch 259/300

Epoch 00259: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093895366, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1053 - val_loss: 0.1791
Epoch 260/300

Epoch 00260: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093872444, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1084 - val_loss: 0.1721
Epoch 261/300

Epoch 00261: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009384953, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1037 - val_loss: 0.1721
Epoch 262/300

Epoch 00262: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009382662, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1045 - val_loss: 0.1725
Epoch 263/300

Epoch 00263: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009380371, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1041 - val_loss: 0.1728
Epoch 264/300

Epoch 00264: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093780813, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1034 - val_loss: 0.1780
Epoch 265/300

Epoch 00265: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009375792, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1119 - val_loss: 0.1756
Epoch 266/300

Epoch 00266: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009373503, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1201 - val_loss: 0.1840
Epoch 267/300

Epoch 00267: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009371216, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1270 - val_loss: 0.1788
Epoch 268/300

Epoch 00268: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009368928, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1151 - val_loss: 0.1745
Epoch 269/300

Epoch 00269: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093666406, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1369 - val_loss: 0.2130
Epoch 270/300

Epoch 00270: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093643536, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1567 - val_loss: 0.1897
Epoch 271/300

Epoch 00271: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009362068, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1265 - val_loss: 0.1819
Epoch 272/300

Epoch 00272: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093597826, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1130 - val_loss: 0.1825
Epoch 273/300

Epoch 00273: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093574973, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1137 - val_loss: 0.1737
Epoch 274/300

Epoch 00274: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009355213, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1346 - val_loss: 0.1907
Epoch 275/300

Epoch 00275: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009352929, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1276 - val_loss: 0.1964
Epoch 276/300

Epoch 00276: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009350647, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1220 - val_loss: 0.1783
Epoch 277/300

Epoch 00277: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009348364, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1085 - val_loss: 0.1772
Epoch 278/300

Epoch 00278: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093460816, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1061 - val_loss: 0.2199
Epoch 279/300

Epoch 00279: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093438005, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1343 - val_loss: 0.1778
Epoch 280/300

Epoch 00280: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093415193, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1085 - val_loss: 0.1768
Epoch 281/300

Epoch 00281: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009339239, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1331 - val_loss: 0.1818
Epoch 282/300

Epoch 00282: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009336959, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1129 - val_loss: 0.1772
Epoch 283/300

Epoch 00283: LearningRateScheduler reducing learning rate to tf.Tensor(0.000933468, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1070 - val_loss: 0.1842
Epoch 284/300

Epoch 00284: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009332401, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1099 - val_loss: 0.1822
Epoch 285/300

Epoch 00285: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009330123, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1078 - val_loss: 0.1741
Epoch 286/300

Epoch 00286: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009327845, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1010 - val_loss: 0.1732
Epoch 287/300

Epoch 00287: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009325568, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.0989 - val_loss: 0.1725
Epoch 288/300

Epoch 00288: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093232916, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.0993 - val_loss: 0.1732
Epoch 289/300

Epoch 00289: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093210157, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.0951 - val_loss: 0.1719
Epoch 290/300

Epoch 00290: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093187403, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.0948 - val_loss: 0.1764
Epoch 291/300

Epoch 00291: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093164656, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.0951 - val_loss: 0.1736
Epoch 292/300

Epoch 00292: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093141914, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.0956 - val_loss: 0.1714
Epoch 293/300

Epoch 00293: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009311917, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.0943 - val_loss: 0.1754
Epoch 294/300

Epoch 00294: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009309644, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.0962 - val_loss: 0.1727
Epoch 295/300

Epoch 00295: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009307372, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.0925 - val_loss: 0.1720
Epoch 296/300

Epoch 00296: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093051, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.0948 - val_loss: 0.1717
Epoch 297/300

Epoch 00297: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009302828, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.0926 - val_loss: 0.1716
Epoch 298/300

Epoch 00298: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093005574, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.0935 - val_loss: 0.1717
Epoch 299/300

Epoch 00299: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009298287, shape=(), dtype=float32).
123/123 [==============================] - 10s 81ms/step - loss: 0.0949 - val_loss: 0.1774
Epoch 300/300

Epoch 00300: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009296017, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.0952 - val_loss: 0.1742
--------------- > Fold 4 < ---------------
Epoch 1/300

Epoch 00001: LearningRateScheduler reducing learning rate to tf.Tensor(0.001, shape=(), dtype=float32).
123/123 [==============================] - 46s 184ms/step - loss: 3.8840 - val_loss: 1.0223
Epoch 2/300

Epoch 00002: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009997559, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.9865 - val_loss: 0.7555
Epoch 3/300

Epoch 00003: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009995119, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.7421 - val_loss: 0.6933
Epoch 4/300

Epoch 00004: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009992679, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.6693 - val_loss: 0.5854
Epoch 5/300

Epoch 00005: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009990239, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.6150 - val_loss: 0.5395
Epoch 6/300

Epoch 00006: LearningRateScheduler reducing learning rate to tf.Tensor(0.00099878, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.5568 - val_loss: 0.5028
Epoch 7/300

Epoch 00007: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009985362, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.5145 - val_loss: 0.4739
Epoch 8/300

Epoch 00008: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009982925, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.4809 - val_loss: 0.4678
Epoch 9/300

Epoch 00009: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009980488, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.4674 - val_loss: 0.4486
Epoch 10/300

Epoch 00010: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009978052, shape=(), dtype=float32).
123/123 [==============================] - 10s 79ms/step - loss: 0.4582 - val_loss: 0.4300
Epoch 11/300

Epoch 00011: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009975616, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.4343 - val_loss: 0.4096
Epoch 12/300

Epoch 00012: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009973181, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.4154 - val_loss: 0.4425
Epoch 13/300

Epoch 00013: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009970746, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.4210 - val_loss: 0.4791
Epoch 14/300

Epoch 00014: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009968312, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.4193 - val_loss: 0.3834
Epoch 15/300

Epoch 00015: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009965879, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.3856 - val_loss: 0.3649
Epoch 16/300

Epoch 00016: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009963446, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.3778 - val_loss: 0.3726
Epoch 17/300

Epoch 00017: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009961014, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.3694 - val_loss: 0.3753
Epoch 18/300

Epoch 00018: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009958582, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.3632 - val_loss: 0.3820
Epoch 19/300

Epoch 00019: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009956151, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.3561 - val_loss: 0.3778
Epoch 20/300

Epoch 00020: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009953721, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.3565 - val_loss: 0.3327
Epoch 21/300

Epoch 00021: LearningRateScheduler reducing learning rate to tf.Tensor(0.000995129, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.3343 - val_loss: 0.3387
Epoch 22/300

Epoch 00022: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009948862, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.3372 - val_loss: 0.3805
Epoch 23/300

Epoch 00023: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009946433, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.3519 - val_loss: 0.3253
Epoch 24/300

Epoch 00024: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009944005, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.3218 - val_loss: 0.3364
Epoch 25/300

Epoch 00025: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009941577, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.3397 - val_loss: 0.3529
Epoch 26/300

Epoch 00026: LearningRateScheduler reducing learning rate to tf.Tensor(0.000993915, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.3297 - val_loss: 0.3092
Epoch 27/300

Epoch 00027: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009936724, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.3103 - val_loss: 0.2993
Epoch 28/300

Epoch 00028: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009934298, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.3751 - val_loss: 0.3284
Epoch 29/300

Epoch 00029: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009931873, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.3633 - val_loss: 0.3543
Epoch 30/300

Epoch 00030: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009929449, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.3303 - val_loss: 0.3270
Epoch 31/300

Epoch 00031: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009927024, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.3164 - val_loss: 0.3190
Epoch 32/300

Epoch 00032: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009924602, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.3023 - val_loss: 0.3549
Epoch 33/300

Epoch 00033: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009922179, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.3112 - val_loss: 0.3046
Epoch 34/300

Epoch 00034: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009919757, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.3052 - val_loss: 0.3159
Epoch 35/300

Epoch 00035: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009917335, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.3065 - val_loss: 0.2990
Epoch 36/300

Epoch 00036: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009914914, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2922 - val_loss: 0.5324
Epoch 37/300

Epoch 00037: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009912493, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.3836 - val_loss: 0.4027
Epoch 38/300

Epoch 00038: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009910074, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.3322 - val_loss: 0.3066
Epoch 39/300

Epoch 00039: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009907655, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.3098 - val_loss: 0.3274
Epoch 40/300

Epoch 00040: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009905236, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.3118 - val_loss: 0.2913
Epoch 41/300

Epoch 00041: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009902818, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2962 - val_loss: 0.2914
Epoch 42/300

Epoch 00042: LearningRateScheduler reducing learning rate to tf.Tensor(0.00099004, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2795 - val_loss: 0.2795
Epoch 43/300

Epoch 00043: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009897983, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.2701 - val_loss: 0.2758
Epoch 44/300

Epoch 00044: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009895568, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.2878 - val_loss: 0.2860
Epoch 45/300

Epoch 00045: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009893152, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2779 - val_loss: 0.2934
Epoch 46/300

Epoch 00046: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009890737, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.2745 - val_loss: 0.2690
Epoch 47/300

Epoch 00047: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009888322, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2610 - val_loss: 0.2685
Epoch 48/300

Epoch 00048: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009885909, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2594 - val_loss: 0.2622
Epoch 49/300

Epoch 00049: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009883496, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2980 - val_loss: 0.2708
Epoch 50/300

Epoch 00050: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009881082, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2623 - val_loss: 0.2583
Epoch 51/300

Epoch 00051: LearningRateScheduler reducing learning rate to tf.Tensor(0.000987867, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2520 - val_loss: 0.2795
Epoch 52/300

Epoch 00052: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009876259, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2586 - val_loss: 0.2654
Epoch 53/300

Epoch 00053: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009873848, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2465 - val_loss: 0.2694
Epoch 54/300

Epoch 00054: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009871437, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2552 - val_loss: 0.2583
Epoch 55/300

Epoch 00055: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009869027, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2557 - val_loss: 0.2444
Epoch 56/300

Epoch 00056: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009866619, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2334 - val_loss: 0.2605
Epoch 57/300

Epoch 00057: LearningRateScheduler reducing learning rate to tf.Tensor(0.000986421, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2585 - val_loss: 0.2889
Epoch 58/300

Epoch 00058: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009861803, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.3116 - val_loss: 0.2601
Epoch 59/300

Epoch 00059: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009859395, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2449 - val_loss: 0.2566
Epoch 60/300

Epoch 00060: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009856988, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2636 - val_loss: 0.2614
Epoch 61/300

Epoch 00061: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009854581, shape=(), dtype=float32).
123/123 [==============================] - 10s 79ms/step - loss: 0.2559 - val_loss: 0.2810
Epoch 62/300

Epoch 00062: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009852176, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2664 - val_loss: 0.2558
Epoch 63/300

Epoch 00063: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009849771, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2476 - val_loss: 0.2458
Epoch 64/300

Epoch 00064: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009847367, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2277 - val_loss: 0.2493
Epoch 65/300

Epoch 00065: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009844963, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2371 - val_loss: 0.2551
Epoch 66/300

Epoch 00066: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009842559, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.2305 - val_loss: 0.2743
Epoch 67/300

Epoch 00067: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009840156, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2446 - val_loss: 0.2489
Epoch 68/300

Epoch 00068: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009837755, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2263 - val_loss: 0.2461
Epoch 69/300

Epoch 00069: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009835353, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2274 - val_loss: 0.2338
Epoch 70/300

Epoch 00070: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009832951, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2207 - val_loss: 0.2487
Epoch 71/300

Epoch 00071: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009830552, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2344 - val_loss: 0.2353
Epoch 72/300

Epoch 00072: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009828152, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2282 - val_loss: 0.2280
Epoch 73/300

Epoch 00073: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009825752, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2641 - val_loss: 0.2368
Epoch 74/300

Epoch 00074: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009823354, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2243 - val_loss: 0.2340
Epoch 75/300

Epoch 00075: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009820956, shape=(), dtype=float32).
123/123 [==============================] - 10s 81ms/step - loss: 0.2303 - val_loss: 0.2341
Epoch 76/300

Epoch 00076: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009818559, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2225 - val_loss: 0.2311
Epoch 77/300

Epoch 00077: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009816162, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2225 - val_loss: 0.2297
Epoch 78/300

Epoch 00078: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009813765, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.2106 - val_loss: 0.2304
Epoch 79/300

Epoch 00079: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009811369, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2101 - val_loss: 0.2163
Epoch 80/300

Epoch 00080: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009808975, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2486 - val_loss: 0.2732
Epoch 81/300

Epoch 00081: LearningRateScheduler reducing learning rate to tf.Tensor(0.000980658, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2565 - val_loss: 0.2864
Epoch 82/300

Epoch 00082: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009804186, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2475 - val_loss: 0.2395
Epoch 83/300

Epoch 00083: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009801793, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2238 - val_loss: 0.2346
Epoch 84/300

Epoch 00084: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009799399, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2184 - val_loss: 0.2358
Epoch 85/300

Epoch 00085: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009797008, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2135 - val_loss: 0.2296
Epoch 86/300

Epoch 00086: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009794617, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2079 - val_loss: 0.2227
Epoch 87/300

Epoch 00087: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009792225, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2039 - val_loss: 0.2127
Epoch 88/300

Epoch 00088: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009789835, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.2072 - val_loss: 0.2325
Epoch 89/300

Epoch 00089: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009787445, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2027 - val_loss: 0.2269
Epoch 90/300

Epoch 00090: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009785056, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2037 - val_loss: 0.2521
Epoch 91/300

Epoch 00091: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009782667, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.2312 - val_loss: 0.2209
Epoch 92/300

Epoch 00092: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009780279, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2068 - val_loss: 0.2221
Epoch 93/300

Epoch 00093: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009777892, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2007 - val_loss: 0.2425
Epoch 94/300

Epoch 00094: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009775504, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2151 - val_loss: 0.2278
Epoch 95/300

Epoch 00095: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009773119, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1980 - val_loss: 0.2242
Epoch 96/300

Epoch 00096: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009770732, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1932 - val_loss: 0.2148
Epoch 97/300

Epoch 00097: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009768348, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1974 - val_loss: 0.2245
Epoch 98/300

Epoch 00098: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009765963, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1900 - val_loss: 0.2126
Epoch 99/300

Epoch 00099: LearningRateScheduler reducing learning rate to tf.Tensor(0.00097635784, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1928 - val_loss: 0.2192
Epoch 100/300

Epoch 00100: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009761195, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1945 - val_loss: 0.2113
Epoch 101/300

Epoch 00101: LearningRateScheduler reducing learning rate to tf.Tensor(0.00097588124, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1885 - val_loss: 0.2317
Epoch 102/300

Epoch 00102: LearningRateScheduler reducing learning rate to tf.Tensor(0.00097564305, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1955 - val_loss: 0.2104
Epoch 103/300

Epoch 00103: LearningRateScheduler reducing learning rate to tf.Tensor(0.00097540487, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1880 - val_loss: 0.2180
Epoch 104/300

Epoch 00104: LearningRateScheduler reducing learning rate to tf.Tensor(0.00097516674, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2172 - val_loss: 0.2303
Epoch 105/300

Epoch 00105: LearningRateScheduler reducing learning rate to tf.Tensor(0.00097492867, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2007 - val_loss: 0.2086
Epoch 106/300

Epoch 00106: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009746907, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.2013 - val_loss: 0.2140
Epoch 107/300

Epoch 00107: LearningRateScheduler reducing learning rate to tf.Tensor(0.00097445276, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2200 - val_loss: 0.2167
Epoch 108/300

Epoch 00108: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009742149, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1997 - val_loss: 0.2190
Epoch 109/300

Epoch 00109: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009739771, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1865 - val_loss: 0.2189
Epoch 110/300

Epoch 00110: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009737393, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1870 - val_loss: 0.2153
Epoch 111/300

Epoch 00111: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009735016, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1872 - val_loss: 0.2098
Epoch 112/300

Epoch 00112: LearningRateScheduler reducing learning rate to tf.Tensor(0.000973264, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1802 - val_loss: 0.2080
Epoch 113/300

Epoch 00113: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009730264, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1820 - val_loss: 0.2045
Epoch 114/300

Epoch 00114: LearningRateScheduler reducing learning rate to tf.Tensor(0.00097278884, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1861 - val_loss: 0.2118
Epoch 115/300

Epoch 00115: LearningRateScheduler reducing learning rate to tf.Tensor(0.00097255135, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1814 - val_loss: 0.2043
Epoch 116/300

Epoch 00116: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009723139, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1851 - val_loss: 0.2034
Epoch 117/300

Epoch 00117: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009720766, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1759 - val_loss: 0.1984
Epoch 118/300

Epoch 00118: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009718393, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1736 - val_loss: 0.2626
Epoch 119/300

Epoch 00119: LearningRateScheduler reducing learning rate to tf.Tensor(0.00097160204, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1990 - val_loss: 0.1974
Epoch 120/300

Epoch 00120: LearningRateScheduler reducing learning rate to tf.Tensor(0.00097136485, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1758 - val_loss: 0.2029
Epoch 121/300

Epoch 00121: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009711277, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1876 - val_loss: 0.2194
Epoch 122/300

Epoch 00122: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009708907, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1943 - val_loss: 0.2143
Epoch 123/300

Epoch 00123: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009706537, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1873 - val_loss: 0.2060
Epoch 124/300

Epoch 00124: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009704167, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1758 - val_loss: 0.2033
Epoch 125/300

Epoch 00125: LearningRateScheduler reducing learning rate to tf.Tensor(0.00097017986, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1791 - val_loss: 0.2125
Epoch 126/300

Epoch 00126: LearningRateScheduler reducing learning rate to tf.Tensor(0.00096994295, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1738 - val_loss: 0.2065
Epoch 127/300

Epoch 00127: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009697062, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1739 - val_loss: 0.2059
Epoch 128/300

Epoch 00128: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009694695, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1720 - val_loss: 0.1962
Epoch 129/300

Epoch 00129: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009692328, shape=(), dtype=float32).
123/123 [==============================] - 10s 81ms/step - loss: 0.1646 - val_loss: 0.1895
Epoch 130/300

Epoch 00130: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009689962, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1646 - val_loss: 0.1948
Epoch 131/300

Epoch 00131: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009687597, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1606 - val_loss: 0.1954
Epoch 132/300

Epoch 00132: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009685232, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1632 - val_loss: 0.2347
Epoch 133/300

Epoch 00133: LearningRateScheduler reducing learning rate to tf.Tensor(0.00096828677, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1807 - val_loss: 0.2056
Epoch 134/300

Epoch 00134: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009680504, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1668 - val_loss: 0.1946
Epoch 135/300

Epoch 00135: LearningRateScheduler reducing learning rate to tf.Tensor(0.00096781406, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1701 - val_loss: 0.2019
Epoch 136/300

Epoch 00136: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009675778, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2007 - val_loss: 0.1968
Epoch 137/300

Epoch 00137: LearningRateScheduler reducing learning rate to tf.Tensor(0.00096734165, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1693 - val_loss: 0.2059
Epoch 138/300

Epoch 00138: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009671055, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1687 - val_loss: 0.1909
Epoch 139/300

Epoch 00139: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009668694, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1671 - val_loss: 0.1953
Epoch 140/300

Epoch 00140: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009666334, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1636 - val_loss: 0.1901
Epoch 141/300

Epoch 00141: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009663974, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1636 - val_loss: 0.1897
Epoch 142/300

Epoch 00142: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009661615, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1606 - val_loss: 0.2097
Epoch 143/300

Epoch 00143: LearningRateScheduler reducing learning rate to tf.Tensor(0.00096592563, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1890 - val_loss: 0.1988
Epoch 144/300

Epoch 00144: LearningRateScheduler reducing learning rate to tf.Tensor(0.00096568983, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1699 - val_loss: 0.2009
Epoch 145/300

Epoch 00145: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009654541, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1664 - val_loss: 0.1907
Epoch 146/300

Epoch 00146: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009652184, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1542 - val_loss: 0.1861
Epoch 147/300

Epoch 00147: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009649828, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1513 - val_loss: 0.1872
Epoch 148/300

Epoch 00148: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009647472, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1564 - val_loss: 0.2021
Epoch 149/300

Epoch 00149: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009645117, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1566 - val_loss: 0.1923
Epoch 150/300

Epoch 00150: LearningRateScheduler reducing learning rate to tf.Tensor(0.00096427626, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1625 - val_loss: 0.1935
Epoch 151/300

Epoch 00151: LearningRateScheduler reducing learning rate to tf.Tensor(0.00096404087, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1760 - val_loss: 0.1994
Epoch 152/300

Epoch 00152: LearningRateScheduler reducing learning rate to tf.Tensor(0.00096380553, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1628 - val_loss: 0.1936
Epoch 153/300

Epoch 00153: LearningRateScheduler reducing learning rate to tf.Tensor(0.00096357026, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1654 - val_loss: 0.2042
Epoch 154/300

Epoch 00154: LearningRateScheduler reducing learning rate to tf.Tensor(0.00096333504, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1670 - val_loss: 0.1897
Epoch 155/300

Epoch 00155: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009630999, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1527 - val_loss: 0.2084
Epoch 156/300

Epoch 00156: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009628647, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1721 - val_loss: 0.2024
Epoch 157/300

Epoch 00157: LearningRateScheduler reducing learning rate to tf.Tensor(0.00096262974, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1651 - val_loss: 0.1973
Epoch 158/300

Epoch 00158: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009623947, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1711 - val_loss: 0.1995
Epoch 159/300

Epoch 00159: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009621598, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1582 - val_loss: 0.1958
Epoch 160/300

Epoch 00160: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009619249, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1509 - val_loss: 0.1934
Epoch 161/300

Epoch 00161: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009616901, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1550 - val_loss: 0.1942
Epoch 162/300

Epoch 00162: LearningRateScheduler reducing learning rate to tf.Tensor(0.00096145534, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1508 - val_loss: 0.1878
Epoch 163/300

Epoch 00163: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009612206, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1482 - val_loss: 0.1920
Epoch 164/300

Epoch 00164: LearningRateScheduler reducing learning rate to tf.Tensor(0.000960986, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1513 - val_loss: 0.1916
Epoch 165/300

Epoch 00165: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009607514, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1501 - val_loss: 0.1896
Epoch 166/300

Epoch 00166: LearningRateScheduler reducing learning rate to tf.Tensor(0.00096051686, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1548 - val_loss: 0.1965
Epoch 167/300

Epoch 00167: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009602824, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1509 - val_loss: 0.1930
Epoch 168/300

Epoch 00168: LearningRateScheduler reducing learning rate to tf.Tensor(0.00096004794, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1497 - val_loss: 0.1868
Epoch 169/300

Epoch 00169: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009598136, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1574 - val_loss: 0.1989
Epoch 170/300

Epoch 00170: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095957925, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1522 - val_loss: 0.1854
Epoch 171/300

Epoch 00171: LearningRateScheduler reducing learning rate to tf.Tensor(0.000959345, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1489 - val_loss: 0.1896
Epoch 172/300

Epoch 00172: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095911085, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1511 - val_loss: 0.1944
Epoch 173/300

Epoch 00173: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095887674, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1596 - val_loss: 0.1913
Epoch 174/300

Epoch 00174: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095864263, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1517 - val_loss: 0.2063
Epoch 175/300

Epoch 00175: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095840864, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1536 - val_loss: 0.1834
Epoch 176/300

Epoch 00176: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009581747, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1432 - val_loss: 0.1839
Epoch 177/300

Epoch 00177: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095794076, shape=(), dtype=float32).
123/123 [==============================] - 10s 82ms/step - loss: 0.1437 - val_loss: 0.1841
Epoch 178/300

Epoch 00178: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095770694, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1383 - val_loss: 0.1809
Epoch 179/300

Epoch 00179: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009574731, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1418 - val_loss: 0.1897
Epoch 180/300

Epoch 00180: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095723936, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1596 - val_loss: 0.1958
Epoch 181/300

Epoch 00181: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009570057, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1538 - val_loss: 0.1961
Epoch 182/300

Epoch 00182: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095677207, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1495 - val_loss: 0.1872
Epoch 183/300

Epoch 00183: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095653854, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1462 - val_loss: 0.1854
Epoch 184/300

Epoch 00184: LearningRateScheduler reducing learning rate to tf.Tensor(0.000956305, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1386 - val_loss: 0.1842
Epoch 185/300

Epoch 00185: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009560716, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1381 - val_loss: 0.1872
Epoch 186/300

Epoch 00186: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009558382, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1376 - val_loss: 0.1879
Epoch 187/300

Epoch 00187: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095560483, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1635 - val_loss: 0.1923
Epoch 188/300

Epoch 00188: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009553716, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2039 - val_loss: 0.2096
Epoch 189/300

Epoch 00189: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095513836, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1773 - val_loss: 0.1911
Epoch 190/300

Epoch 00190: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009549052, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1461 - val_loss: 0.1937
Epoch 191/300

Epoch 00191: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009546721, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1410 - val_loss: 0.1975
Epoch 192/300

Epoch 00192: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095443905, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1501 - val_loss: 0.1842
Epoch 193/300

Epoch 00193: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095420604, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1415 - val_loss: 0.1822
Epoch 194/300

Epoch 00194: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009539731, shape=(), dtype=float32).
123/123 [==============================] - 10s 77ms/step - loss: 0.1372 - val_loss: 0.1818
Epoch 195/300

Epoch 00195: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009537402, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1318 - val_loss: 0.1971
Epoch 196/300

Epoch 00196: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095350744, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1649 - val_loss: 0.1920
Epoch 197/300

Epoch 00197: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095327466, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1425 - val_loss: 0.1829
Epoch 198/300

Epoch 00198: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095304195, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1397 - val_loss: 0.1837
Epoch 199/300

Epoch 00199: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009528093, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1335 - val_loss: 0.1825
Epoch 200/300

Epoch 00200: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009525767, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1351 - val_loss: 0.1872
Epoch 201/300

Epoch 00201: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095234415, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1337 - val_loss: 0.1799
Epoch 202/300

Epoch 00202: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095211173, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1288 - val_loss: 0.1863
Epoch 203/300

Epoch 00203: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095187925, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1374 - val_loss: 0.1838
Epoch 204/300

Epoch 00204: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009516469, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1335 - val_loss: 0.1814
Epoch 205/300

Epoch 00205: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009514146, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1288 - val_loss: 0.1795
Epoch 206/300

Epoch 00206: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009511823, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1289 - val_loss: 0.1803
Epoch 207/300

Epoch 00207: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095095014, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1259 - val_loss: 0.1792
Epoch 208/300

Epoch 00208: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095071795, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1237 - val_loss: 0.1863
Epoch 209/300

Epoch 00209: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095048593, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1267 - val_loss: 0.1807
Epoch 210/300

Epoch 00210: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009502539, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1363 - val_loss: 0.2085
Epoch 211/300

Epoch 00211: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009500219, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1659 - val_loss: 0.1874
Epoch 212/300

Epoch 00212: LearningRateScheduler reducing learning rate to tf.Tensor(0.00094979, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1348 - val_loss: 0.1876
Epoch 213/300

Epoch 00213: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009495581, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1337 - val_loss: 0.1795
Epoch 214/300

Epoch 00214: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009493263, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1266 - val_loss: 0.1826
Epoch 215/300

Epoch 00215: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009490946, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1243 - val_loss: 0.1772
Epoch 216/300

Epoch 00216: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009488629, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1218 - val_loss: 0.1798
Epoch 217/300

Epoch 00217: LearningRateScheduler reducing learning rate to tf.Tensor(0.00094863126, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1230 - val_loss: 0.1790
Epoch 218/300

Epoch 00218: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009483997, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1216 - val_loss: 0.1811
Epoch 219/300

Epoch 00219: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009481682, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1210 - val_loss: 0.1773
Epoch 220/300

Epoch 00220: LearningRateScheduler reducing learning rate to tf.Tensor(0.00094793667, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1192 - val_loss: 0.1805
Epoch 221/300

Epoch 00221: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009477053, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1208 - val_loss: 0.1791
Epoch 222/300

Epoch 00222: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009474739, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1213 - val_loss: 0.1832
Epoch 223/300

Epoch 00223: LearningRateScheduler reducing learning rate to tf.Tensor(0.00094724266, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1237 - val_loss: 0.1848
Epoch 224/300

Epoch 00224: LearningRateScheduler reducing learning rate to tf.Tensor(0.00094701146, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1244 - val_loss: 0.1783
Epoch 225/300

Epoch 00225: LearningRateScheduler reducing learning rate to tf.Tensor(0.00094678026, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1214 - val_loss: 0.1786
Epoch 226/300

Epoch 00226: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009465491, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1298 - val_loss: 0.1860
Epoch 227/300

Epoch 00227: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009463181, shape=(), dtype=float32).
123/123 [==============================] - 10s 81ms/step - loss: 0.1313 - val_loss: 0.1931
Epoch 228/300

Epoch 00228: LearningRateScheduler reducing learning rate to tf.Tensor(0.00094608706, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1294 - val_loss: 0.1793
Epoch 229/300

Epoch 00229: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009458561, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1256 - val_loss: 0.1824
Epoch 230/300

Epoch 00230: LearningRateScheduler reducing learning rate to tf.Tensor(0.00094562524, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1240 - val_loss: 0.1800
Epoch 231/300

Epoch 00231: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009453944, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1221 - val_loss: 0.1800
Epoch 232/300

Epoch 00232: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009451636, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1184 - val_loss: 0.1767
Epoch 233/300

Epoch 00233: LearningRateScheduler reducing learning rate to tf.Tensor(0.00094493286, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1154 - val_loss: 0.1926
Epoch 234/300

Epoch 00234: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009447022, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1312 - val_loss: 0.1889
Epoch 235/300

Epoch 00235: LearningRateScheduler reducing learning rate to tf.Tensor(0.00094447157, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1388 - val_loss: 0.1953
Epoch 236/300

Epoch 00236: LearningRateScheduler reducing learning rate to tf.Tensor(0.000944241, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1356 - val_loss: 0.2170
Epoch 237/300

Epoch 00237: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009440105, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1457 - val_loss: 0.2377
Epoch 238/300

Epoch 00238: LearningRateScheduler reducing learning rate to tf.Tensor(0.00094378006, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1579 - val_loss: 0.1871
Epoch 239/300

Epoch 00239: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009435497, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1247 - val_loss: 0.1867
Epoch 240/300

Epoch 00240: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009433193, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1237 - val_loss: 0.1823
Epoch 241/300

Epoch 00241: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009430891, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1190 - val_loss: 0.1892
Epoch 242/300

Epoch 00242: LearningRateScheduler reducing learning rate to tf.Tensor(0.00094285887, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1221 - val_loss: 0.1830
Epoch 243/300

Epoch 00243: LearningRateScheduler reducing learning rate to tf.Tensor(0.00094262866, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1213 - val_loss: 0.1859
Epoch 244/300

Epoch 00244: LearningRateScheduler reducing learning rate to tf.Tensor(0.00094239856, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1224 - val_loss: 0.1811
Epoch 245/300

Epoch 00245: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009421685, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1167 - val_loss: 0.1784
Epoch 246/300

Epoch 00246: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009419385, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1149 - val_loss: 0.1782
Epoch 247/300

Epoch 00247: LearningRateScheduler reducing learning rate to tf.Tensor(0.00094170857, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1131 - val_loss: 0.1841
Epoch 248/300

Epoch 00248: LearningRateScheduler reducing learning rate to tf.Tensor(0.00094147865, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1160 - val_loss: 0.1799
Epoch 249/300

Epoch 00249: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009412489, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1125 - val_loss: 0.1812
Epoch 250/300

Epoch 00250: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009410191, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1134 - val_loss: 0.1775
Epoch 251/300

Epoch 00251: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009407894, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1142 - val_loss: 0.1775
Epoch 252/300

Epoch 00252: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009405597, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1112 - val_loss: 0.1785
Epoch 253/300

Epoch 00253: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009403301, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1103 - val_loss: 0.1768
Epoch 254/300

Epoch 00254: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009401005, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1093 - val_loss: 0.1762
Epoch 255/300

Epoch 00255: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093987107, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1087 - val_loss: 0.1761
Epoch 256/300

Epoch 00256: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009396416, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1090 - val_loss: 0.1803
Epoch 257/300

Epoch 00257: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009394122, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1092 - val_loss: 0.1772
Epoch 258/300

Epoch 00258: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093918294, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1077 - val_loss: 0.1770
Epoch 259/300

Epoch 00259: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093895366, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1068 - val_loss: 0.1807
Epoch 260/300

Epoch 00260: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093872444, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1089 - val_loss: 0.1909
Epoch 261/300

Epoch 00261: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009384953, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1259 - val_loss: 0.1948
Epoch 262/300

Epoch 00262: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009382662, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1215 - val_loss: 0.1812
Epoch 263/300

Epoch 00263: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009380371, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1127 - val_loss: 0.1836
Epoch 264/300

Epoch 00264: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093780813, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1148 - val_loss: 0.1846
Epoch 265/300

Epoch 00265: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009375792, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1175 - val_loss: 0.1782
Epoch 266/300

Epoch 00266: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009373503, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1077 - val_loss: 0.1797
Epoch 267/300

Epoch 00267: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009371216, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1166 - val_loss: 0.1814
Epoch 268/300

Epoch 00268: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009368928, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1111 - val_loss: 0.1793
Epoch 269/300

Epoch 00269: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093666406, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1041 - val_loss: 0.1858
Epoch 270/300

Epoch 00270: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093643536, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1112 - val_loss: 0.1832
Epoch 271/300

Epoch 00271: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009362068, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1049 - val_loss: 0.1826
Epoch 272/300

Epoch 00272: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093597826, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1059 - val_loss: 0.1790
Epoch 273/300

Epoch 00273: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093574973, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1048 - val_loss: 0.1785
Epoch 274/300

Epoch 00274: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009355213, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1031 - val_loss: 0.1811
Epoch 275/300

Epoch 00275: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009352929, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1030 - val_loss: 0.1797
Epoch 276/300

Epoch 00276: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009350647, shape=(), dtype=float32).
123/123 [==============================] - 10s 81ms/step - loss: 0.1047 - val_loss: 0.1800
Epoch 277/300

Epoch 00277: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009348364, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1061 - val_loss: 0.1778
Epoch 278/300

Epoch 00278: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093460816, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1005 - val_loss: 0.1776
Epoch 279/300

Epoch 00279: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093438005, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1005 - val_loss: 0.1806
Epoch 280/300

Epoch 00280: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093415193, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1004 - val_loss: 0.1803
Epoch 281/300

Epoch 00281: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009339239, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1025 - val_loss: 0.1774
Epoch 282/300

Epoch 00282: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009336959, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.0991 - val_loss: 0.1779
Epoch 283/300

Epoch 00283: LearningRateScheduler reducing learning rate to tf.Tensor(0.000933468, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.0978 - val_loss: 0.1771
Epoch 284/300

Epoch 00284: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009332401, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.0998 - val_loss: 0.1791
Epoch 285/300

Epoch 00285: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009330123, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.0996 - val_loss: 0.1804
Epoch 286/300

Epoch 00286: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009327845, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1002 - val_loss: 0.1773
Epoch 287/300

Epoch 00287: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009325568, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1006 - val_loss: 0.1837
Epoch 288/300

Epoch 00288: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093232916, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1002 - val_loss: 0.1779
Epoch 289/300

Epoch 00289: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093210157, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.0987 - val_loss: 0.1792
Epoch 290/300

Epoch 00290: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093187403, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.0994 - val_loss: 0.1780
Epoch 291/300

Epoch 00291: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093164656, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.0967 - val_loss: 0.1817
Epoch 292/300

Epoch 00292: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093141914, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.0982 - val_loss: 0.1793
Epoch 293/300

Epoch 00293: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009311917, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1002 - val_loss: 0.1779
Epoch 294/300

Epoch 00294: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009309644, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.0973 - val_loss: 0.1794
Epoch 295/300

Epoch 00295: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009307372, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.0980 - val_loss: 0.1833
Epoch 296/300

Epoch 00296: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093051, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.0962 - val_loss: 0.1772
Epoch 297/300

Epoch 00297: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009302828, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.0950 - val_loss: 0.1773
Epoch 298/300

Epoch 00298: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093005574, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.0956 - val_loss: 0.1774
Epoch 299/300

Epoch 00299: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009298287, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.0949 - val_loss: 0.1782
Epoch 300/300

Epoch 00300: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009296017, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.0941 - val_loss: 0.1782
--------------- > Fold 5 < ---------------
Epoch 1/300

Epoch 00001: LearningRateScheduler reducing learning rate to tf.Tensor(0.001, shape=(), dtype=float32).
123/123 [==============================] - 46s 184ms/step - loss: 3.6730 - val_loss: 1.1578
Epoch 2/300

Epoch 00002: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009997559, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 1.0176 - val_loss: 0.7422
Epoch 3/300

Epoch 00003: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009995119, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.7407 - val_loss: 0.6395
Epoch 4/300

Epoch 00004: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009992679, shape=(), dtype=float32).
123/123 [==============================] - 10s 79ms/step - loss: 0.6595 - val_loss: 0.5988
Epoch 5/300

Epoch 00005: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009990239, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.5834 - val_loss: 0.5858
Epoch 6/300

Epoch 00006: LearningRateScheduler reducing learning rate to tf.Tensor(0.00099878, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.5792 - val_loss: 0.5418
Epoch 7/300

Epoch 00007: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009985362, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.5202 - val_loss: 0.4824
Epoch 8/300

Epoch 00008: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009982925, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.4959 - val_loss: 0.4751
Epoch 9/300

Epoch 00009: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009980488, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.4908 - val_loss: 0.4813
Epoch 10/300

Epoch 00010: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009978052, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.4662 - val_loss: 0.4580
Epoch 11/300

Epoch 00011: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009975616, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.4785 - val_loss: 0.4229
Epoch 12/300

Epoch 00012: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009973181, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.4243 - val_loss: 0.4313
Epoch 13/300

Epoch 00013: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009970746, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.4277 - val_loss: 0.4036
Epoch 14/300

Epoch 00014: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009968312, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.3986 - val_loss: 0.4002
Epoch 15/300

Epoch 00015: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009965879, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.3944 - val_loss: 0.4180
Epoch 16/300

Epoch 00016: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009963446, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.3865 - val_loss: 0.3775
Epoch 17/300

Epoch 00017: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009961014, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.3772 - val_loss: 0.3608
Epoch 18/300

Epoch 00018: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009958582, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.3617 - val_loss: 0.3647
Epoch 19/300

Epoch 00019: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009956151, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.3529 - val_loss: 0.3591
Epoch 20/300

Epoch 00020: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009953721, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.3542 - val_loss: 0.3333
Epoch 21/300

Epoch 00021: LearningRateScheduler reducing learning rate to tf.Tensor(0.000995129, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.3400 - val_loss: 0.3573
Epoch 22/300

Epoch 00022: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009948862, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.3411 - val_loss: 0.3280
Epoch 23/300

Epoch 00023: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009946433, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.3287 - val_loss: 0.3269
Epoch 24/300

Epoch 00024: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009944005, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.3369 - val_loss: 0.3621
Epoch 25/300

Epoch 00025: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009941577, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.3506 - val_loss: 0.3191
Epoch 26/300

Epoch 00026: LearningRateScheduler reducing learning rate to tf.Tensor(0.000993915, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.3345 - val_loss: 0.3547
Epoch 27/300

Epoch 00027: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009936724, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.3484 - val_loss: 0.3157
Epoch 28/300

Epoch 00028: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009934298, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.3170 - val_loss: 0.3140
Epoch 29/300

Epoch 00029: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009931873, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.3106 - val_loss: 0.3111
Epoch 30/300

Epoch 00030: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009929449, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.3056 - val_loss: 0.3276
Epoch 31/300

Epoch 00031: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009927024, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2969 - val_loss: 0.3218
Epoch 32/300

Epoch 00032: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009924602, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.3182 - val_loss: 0.2995
Epoch 33/300

Epoch 00033: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009922179, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2981 - val_loss: 0.2902
Epoch 34/300

Epoch 00034: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009919757, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2926 - val_loss: 0.3251
Epoch 35/300

Epoch 00035: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009917335, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.3396 - val_loss: 0.3427
Epoch 36/300

Epoch 00036: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009914914, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.3118 - val_loss: 0.3050
Epoch 37/300

Epoch 00037: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009912493, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2872 - val_loss: 0.2711
Epoch 38/300

Epoch 00038: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009910074, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2704 - val_loss: 0.3606
Epoch 39/300

Epoch 00039: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009907655, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.3651 - val_loss: 0.2920
Epoch 40/300

Epoch 00040: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009905236, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2763 - val_loss: 0.2705
Epoch 41/300

Epoch 00041: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009902818, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2737 - val_loss: 0.2692
Epoch 42/300

Epoch 00042: LearningRateScheduler reducing learning rate to tf.Tensor(0.00099004, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.2693 - val_loss: 0.2900
Epoch 43/300

Epoch 00043: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009897983, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2762 - val_loss: 0.2831
Epoch 44/300

Epoch 00044: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009895568, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2761 - val_loss: 0.2830
Epoch 45/300

Epoch 00045: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009893152, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2719 - val_loss: 0.2865
Epoch 46/300

Epoch 00046: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009890737, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2699 - val_loss: 0.3109
Epoch 47/300

Epoch 00047: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009888322, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2811 - val_loss: 0.2817
Epoch 48/300

Epoch 00048: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009885909, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2602 - val_loss: 0.2659
Epoch 49/300

Epoch 00049: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009883496, shape=(), dtype=float32).
123/123 [==============================] - 10s 81ms/step - loss: 0.2852 - val_loss: 0.2673
Epoch 50/300

Epoch 00050: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009881082, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2588 - val_loss: 0.2672
Epoch 51/300

Epoch 00051: LearningRateScheduler reducing learning rate to tf.Tensor(0.000987867, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.2551 - val_loss: 0.2696
Epoch 52/300

Epoch 00052: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009876259, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2528 - val_loss: 0.2377
Epoch 53/300

Epoch 00053: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009873848, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2356 - val_loss: 0.2514
Epoch 54/300

Epoch 00054: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009871437, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2479 - val_loss: 0.2571
Epoch 55/300

Epoch 00055: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009869027, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2420 - val_loss: 0.3507
Epoch 56/300

Epoch 00056: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009866619, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2898 - val_loss: 0.2566
Epoch 57/300

Epoch 00057: LearningRateScheduler reducing learning rate to tf.Tensor(0.000986421, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2528 - val_loss: 0.2395
Epoch 58/300

Epoch 00058: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009861803, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2392 - val_loss: 0.2624
Epoch 59/300

Epoch 00059: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009859395, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2367 - val_loss: 0.2490
Epoch 60/300

Epoch 00060: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009856988, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.2364 - val_loss: 0.2426
Epoch 61/300

Epoch 00061: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009854581, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.2293 - val_loss: 0.2458
Epoch 62/300

Epoch 00062: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009852176, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2356 - val_loss: 0.2458
Epoch 63/300

Epoch 00063: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009849771, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2248 - val_loss: 0.2785
Epoch 64/300

Epoch 00064: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009847367, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2486 - val_loss: 0.2440
Epoch 65/300

Epoch 00065: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009844963, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.2322 - val_loss: 0.2602
Epoch 66/300

Epoch 00066: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009842559, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2337 - val_loss: 0.2426
Epoch 67/300

Epoch 00067: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009840156, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2251 - val_loss: 0.2359
Epoch 68/300

Epoch 00068: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009837755, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.2159 - val_loss: 0.2664
Epoch 69/300

Epoch 00069: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009835353, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.2223 - val_loss: 0.2276
Epoch 70/300

Epoch 00070: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009832951, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.2799 - val_loss: 0.2499
Epoch 71/300

Epoch 00071: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009830552, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2350 - val_loss: 0.3259
Epoch 72/300

Epoch 00072: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009828152, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2692 - val_loss: 0.2504
Epoch 73/300

Epoch 00073: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009825752, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2267 - val_loss: 0.2378
Epoch 74/300

Epoch 00074: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009823354, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.2343 - val_loss: 0.2326
Epoch 75/300

Epoch 00075: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009820956, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.2154 - val_loss: 0.2234
Epoch 76/300

Epoch 00076: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009818559, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.2068 - val_loss: 0.2205
Epoch 77/300

Epoch 00077: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009816162, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2119 - val_loss: 0.2177
Epoch 78/300

Epoch 00078: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009813765, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2044 - val_loss: 0.2242
Epoch 79/300

Epoch 00079: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009811369, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2123 - val_loss: 0.2360
Epoch 80/300

Epoch 00080: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009808975, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.2138 - val_loss: 0.2307
Epoch 81/300

Epoch 00081: LearningRateScheduler reducing learning rate to tf.Tensor(0.000980658, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2145 - val_loss: 0.2155
Epoch 82/300

Epoch 00082: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009804186, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2067 - val_loss: 0.2241
Epoch 83/300

Epoch 00083: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009801793, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2102 - val_loss: 0.2176
Epoch 84/300

Epoch 00084: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009799399, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1947 - val_loss: 0.2250
Epoch 85/300

Epoch 00085: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009797008, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2038 - val_loss: 0.2123
Epoch 86/300

Epoch 00086: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009794617, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1996 - val_loss: 0.2168
Epoch 87/300

Epoch 00087: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009792225, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1997 - val_loss: 0.2256
Epoch 88/300

Epoch 00088: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009789835, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2024 - val_loss: 0.2181
Epoch 89/300

Epoch 00089: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009787445, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2054 - val_loss: 0.2257
Epoch 90/300

Epoch 00090: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009785056, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2117 - val_loss: 0.2101
Epoch 91/300

Epoch 00091: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009782667, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1971 - val_loss: 0.2147
Epoch 92/300

Epoch 00092: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009780279, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1939 - val_loss: 0.2157
Epoch 93/300

Epoch 00093: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009777892, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2003 - val_loss: 0.2228
Epoch 94/300

Epoch 00094: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009775504, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1909 - val_loss: 0.2273
Epoch 95/300

Epoch 00095: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009773119, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2170 - val_loss: 0.2162
Epoch 96/300

Epoch 00096: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009770732, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1956 - val_loss: 0.2106
Epoch 97/300

Epoch 00097: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009768348, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1956 - val_loss: 0.2493
Epoch 98/300

Epoch 00098: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009765963, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2174 - val_loss: 0.2132
Epoch 99/300

Epoch 00099: LearningRateScheduler reducing learning rate to tf.Tensor(0.00097635784, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1959 - val_loss: 0.2023
Epoch 100/300

Epoch 00100: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009761195, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1827 - val_loss: 0.2122
Epoch 101/300

Epoch 00101: LearningRateScheduler reducing learning rate to tf.Tensor(0.00097588124, shape=(), dtype=float32).
123/123 [==============================] - 10s 81ms/step - loss: 0.1884 - val_loss: 0.2072
Epoch 102/300

Epoch 00102: LearningRateScheduler reducing learning rate to tf.Tensor(0.00097564305, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1871 - val_loss: 0.2133
Epoch 103/300

Epoch 00103: LearningRateScheduler reducing learning rate to tf.Tensor(0.00097540487, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1854 - val_loss: 0.2088
Epoch 104/300

Epoch 00104: LearningRateScheduler reducing learning rate to tf.Tensor(0.00097516674, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1861 - val_loss: 0.2027
Epoch 105/300

Epoch 00105: LearningRateScheduler reducing learning rate to tf.Tensor(0.00097492867, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1865 - val_loss: 0.2127
Epoch 106/300

Epoch 00106: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009746907, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1851 - val_loss: 0.2149
Epoch 107/300

Epoch 00107: LearningRateScheduler reducing learning rate to tf.Tensor(0.00097445276, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1998 - val_loss: 0.2096
Epoch 108/300

Epoch 00108: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009742149, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1800 - val_loss: 0.2058
Epoch 109/300

Epoch 00109: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009739771, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1795 - val_loss: 0.1983
Epoch 110/300

Epoch 00110: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009737393, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1809 - val_loss: 0.2091
Epoch 111/300

Epoch 00111: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009735016, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1814 - val_loss: 0.1967
Epoch 112/300

Epoch 00112: LearningRateScheduler reducing learning rate to tf.Tensor(0.000973264, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1838 - val_loss: 0.1976
Epoch 113/300

Epoch 00113: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009730264, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1816 - val_loss: 0.2009
Epoch 114/300

Epoch 00114: LearningRateScheduler reducing learning rate to tf.Tensor(0.00097278884, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1743 - val_loss: 0.2012
Epoch 115/300

Epoch 00115: LearningRateScheduler reducing learning rate to tf.Tensor(0.00097255135, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1760 - val_loss: 0.2048
Epoch 116/300

Epoch 00116: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009723139, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1876 - val_loss: 0.1987
Epoch 117/300

Epoch 00117: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009720766, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1818 - val_loss: 0.2527
Epoch 118/300

Epoch 00118: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009718393, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.2050 - val_loss: 0.1957
Epoch 119/300

Epoch 00119: LearningRateScheduler reducing learning rate to tf.Tensor(0.00097160204, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1712 - val_loss: 0.1952
Epoch 120/300

Epoch 00120: LearningRateScheduler reducing learning rate to tf.Tensor(0.00097136485, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1682 - val_loss: 0.2111
Epoch 121/300

Epoch 00121: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009711277, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1738 - val_loss: 0.1946
Epoch 122/300

Epoch 00122: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009708907, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1714 - val_loss: 0.1944
Epoch 123/300

Epoch 00123: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009706537, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2019 - val_loss: 0.2088
Epoch 124/300

Epoch 00124: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009704167, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1800 - val_loss: 0.2001
Epoch 125/300

Epoch 00125: LearningRateScheduler reducing learning rate to tf.Tensor(0.00097017986, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1692 - val_loss: 0.2007
Epoch 126/300

Epoch 00126: LearningRateScheduler reducing learning rate to tf.Tensor(0.00096994295, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1707 - val_loss: 0.1993
Epoch 127/300

Epoch 00127: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009697062, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1690 - val_loss: 0.1935
Epoch 128/300

Epoch 00128: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009694695, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1653 - val_loss: 0.1873
Epoch 129/300

Epoch 00129: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009692328, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1613 - val_loss: 0.1898
Epoch 130/300

Epoch 00130: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009689962, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1601 - val_loss: 0.1922
Epoch 131/300

Epoch 00131: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009687597, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1653 - val_loss: 0.1959
Epoch 132/300

Epoch 00132: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009685232, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1738 - val_loss: 0.2089
Epoch 133/300

Epoch 00133: LearningRateScheduler reducing learning rate to tf.Tensor(0.00096828677, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1888 - val_loss: 0.1930
Epoch 134/300

Epoch 00134: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009680504, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1693 - val_loss: 0.2077
Epoch 135/300

Epoch 00135: LearningRateScheduler reducing learning rate to tf.Tensor(0.00096781406, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1783 - val_loss: 0.1984
Epoch 136/300

Epoch 00136: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009675778, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1657 - val_loss: 0.1971
Epoch 137/300

Epoch 00137: LearningRateScheduler reducing learning rate to tf.Tensor(0.00096734165, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1816 - val_loss: 0.2333
Epoch 138/300

Epoch 00138: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009671055, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2010 - val_loss: 0.2019
Epoch 139/300

Epoch 00139: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009668694, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1703 - val_loss: 0.1907
Epoch 140/300

Epoch 00140: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009666334, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1603 - val_loss: 0.1908
Epoch 141/300

Epoch 00141: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009663974, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1583 - val_loss: 0.1916
Epoch 142/300

Epoch 00142: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009661615, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1582 - val_loss: 0.1849
Epoch 143/300

Epoch 00143: LearningRateScheduler reducing learning rate to tf.Tensor(0.00096592563, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1561 - val_loss: 0.1847
Epoch 144/300

Epoch 00144: LearningRateScheduler reducing learning rate to tf.Tensor(0.00096568983, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1539 - val_loss: 0.1855
Epoch 145/300

Epoch 00145: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009654541, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1512 - val_loss: 0.1810
Epoch 146/300

Epoch 00146: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009652184, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1588 - val_loss: 0.1936
Epoch 147/300

Epoch 00147: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009649828, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1544 - val_loss: 0.2067
Epoch 148/300

Epoch 00148: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009647472, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1693 - val_loss: 0.1949
Epoch 149/300

Epoch 00149: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009645117, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1610 - val_loss: 0.1929
Epoch 150/300

Epoch 00150: LearningRateScheduler reducing learning rate to tf.Tensor(0.00096427626, shape=(), dtype=float32).
123/123 [==============================] - 10s 82ms/step - loss: 0.1807 - val_loss: 0.2016
Epoch 151/300

Epoch 00151: LearningRateScheduler reducing learning rate to tf.Tensor(0.00096404087, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1775 - val_loss: 0.1955
Epoch 152/300

Epoch 00152: LearningRateScheduler reducing learning rate to tf.Tensor(0.00096380553, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1614 - val_loss: 0.1983
Epoch 153/300

Epoch 00153: LearningRateScheduler reducing learning rate to tf.Tensor(0.00096357026, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1651 - val_loss: 0.1854
Epoch 154/300

Epoch 00154: LearningRateScheduler reducing learning rate to tf.Tensor(0.00096333504, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1546 - val_loss: 0.1926
Epoch 155/300

Epoch 00155: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009630999, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1544 - val_loss: 0.1865
Epoch 156/300

Epoch 00156: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009628647, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1492 - val_loss: 0.1860
Epoch 157/300

Epoch 00157: LearningRateScheduler reducing learning rate to tf.Tensor(0.00096262974, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1624 - val_loss: 0.1864
Epoch 158/300

Epoch 00158: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009623947, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1520 - val_loss: 0.1842
Epoch 159/300

Epoch 00159: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009621598, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1490 - val_loss: 0.1886
Epoch 160/300

Epoch 00160: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009619249, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1500 - val_loss: 0.1860
Epoch 161/300

Epoch 00161: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009616901, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1457 - val_loss: 0.1875
Epoch 162/300

Epoch 00162: LearningRateScheduler reducing learning rate to tf.Tensor(0.00096145534, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1467 - val_loss: 0.1789
Epoch 163/300

Epoch 00163: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009612206, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1447 - val_loss: 0.1892
Epoch 164/300

Epoch 00164: LearningRateScheduler reducing learning rate to tf.Tensor(0.000960986, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1532 - val_loss: 0.1816
Epoch 165/300

Epoch 00165: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009607514, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1456 - val_loss: 0.1926
Epoch 166/300

Epoch 00166: LearningRateScheduler reducing learning rate to tf.Tensor(0.00096051686, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1485 - val_loss: 0.1860
Epoch 167/300

Epoch 00167: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009602824, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1435 - val_loss: 0.1807
Epoch 168/300

Epoch 00168: LearningRateScheduler reducing learning rate to tf.Tensor(0.00096004794, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1399 - val_loss: 0.1900
Epoch 169/300

Epoch 00169: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009598136, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1455 - val_loss: 0.1865
Epoch 170/300

Epoch 00170: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095957925, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1456 - val_loss: 0.2261
Epoch 171/300

Epoch 00171: LearningRateScheduler reducing learning rate to tf.Tensor(0.000959345, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1652 - val_loss: 0.1857
Epoch 172/300

Epoch 00172: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095911085, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1480 - val_loss: 0.1909
Epoch 173/300

Epoch 00173: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095887674, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1446 - val_loss: 0.1826
Epoch 174/300

Epoch 00174: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095864263, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1393 - val_loss: 0.1902
Epoch 175/300

Epoch 00175: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095840864, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1596 - val_loss: 0.1929
Epoch 176/300

Epoch 00176: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009581747, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1517 - val_loss: 0.1863
Epoch 177/300

Epoch 00177: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095794076, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1445 - val_loss: 0.1847
Epoch 178/300

Epoch 00178: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095770694, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1398 - val_loss: 0.1787
Epoch 179/300

Epoch 00179: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009574731, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1338 - val_loss: 0.1803
Epoch 180/300

Epoch 00180: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095723936, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1372 - val_loss: 0.1949
Epoch 181/300

Epoch 00181: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009570057, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1430 - val_loss: 0.1826
Epoch 182/300

Epoch 00182: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095677207, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1357 - val_loss: 0.1791
Epoch 183/300

Epoch 00183: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095653854, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1354 - val_loss: 0.2024
Epoch 184/300

Epoch 00184: LearningRateScheduler reducing learning rate to tf.Tensor(0.000956305, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1404 - val_loss: 0.1821
Epoch 185/300

Epoch 00185: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009560716, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1323 - val_loss: 0.1789
Epoch 186/300

Epoch 00186: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009558382, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1349 - val_loss: 0.1778
Epoch 187/300

Epoch 00187: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095560483, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1328 - val_loss: 0.1796
Epoch 188/300

Epoch 00188: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009553716, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1322 - val_loss: 0.2209
Epoch 189/300

Epoch 00189: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095513836, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1674 - val_loss: 0.1850
Epoch 190/300

Epoch 00190: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009549052, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1406 - val_loss: 0.1829
Epoch 191/300

Epoch 00191: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009546721, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1339 - val_loss: 0.1901
Epoch 192/300

Epoch 00192: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095443905, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1663 - val_loss: 0.1993
Epoch 193/300

Epoch 00193: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095420604, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1682 - val_loss: 0.1865
Epoch 194/300

Epoch 00194: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009539731, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1385 - val_loss: 0.1827
Epoch 195/300

Epoch 00195: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009537402, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1425 - val_loss: 0.1821
Epoch 196/300

Epoch 00196: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095350744, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1317 - val_loss: 0.1829
Epoch 197/300

Epoch 00197: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095327466, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1334 - val_loss: 0.1788
Epoch 198/300

Epoch 00198: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095304195, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1301 - val_loss: 0.1856
Epoch 199/300

Epoch 00199: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009528093, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1306 - val_loss: 0.1768
Epoch 200/300

Epoch 00200: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009525767, shape=(), dtype=float32).
123/123 [==============================] - 10s 81ms/step - loss: 0.1264 - val_loss: 0.1839
Epoch 201/300

Epoch 00201: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095234415, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1321 - val_loss: 0.1832
Epoch 202/300

Epoch 00202: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095211173, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1306 - val_loss: 0.1767
Epoch 203/300

Epoch 00203: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095187925, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1262 - val_loss: 0.1759
Epoch 204/300

Epoch 00204: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009516469, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1252 - val_loss: 0.1750
Epoch 205/300

Epoch 00205: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009514146, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1213 - val_loss: 0.1763
Epoch 206/300

Epoch 00206: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009511823, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1242 - val_loss: 0.1858
Epoch 207/300

Epoch 00207: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095095014, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1259 - val_loss: 0.1740
Epoch 208/300

Epoch 00208: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095071795, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1206 - val_loss: 0.1763
Epoch 209/300

Epoch 00209: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095048593, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1229 - val_loss: 0.1780
Epoch 210/300

Epoch 00210: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009502539, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1226 - val_loss: 0.1751
Epoch 211/300

Epoch 00211: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009500219, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1201 - val_loss: 0.1744
Epoch 212/300

Epoch 00212: LearningRateScheduler reducing learning rate to tf.Tensor(0.00094979, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1190 - val_loss: 0.1795
Epoch 213/300

Epoch 00213: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009495581, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1215 - val_loss: 0.1769
Epoch 214/300

Epoch 00214: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009493263, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1245 - val_loss: 0.1919
Epoch 215/300

Epoch 00215: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009490946, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1339 - val_loss: 0.1831
Epoch 216/300

Epoch 00216: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009488629, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1296 - val_loss: 0.1765
Epoch 217/300

Epoch 00217: LearningRateScheduler reducing learning rate to tf.Tensor(0.00094863126, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1198 - val_loss: 0.1751
Epoch 218/300

Epoch 00218: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009483997, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1176 - val_loss: 0.1750
Epoch 219/300

Epoch 00219: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009481682, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1176 - val_loss: 0.1779
Epoch 220/300

Epoch 00220: LearningRateScheduler reducing learning rate to tf.Tensor(0.00094793667, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1167 - val_loss: 0.1748
Epoch 221/300

Epoch 00221: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009477053, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1188 - val_loss: 0.1751
Epoch 222/300

Epoch 00222: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009474739, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1148 - val_loss: 0.1800
Epoch 223/300

Epoch 00223: LearningRateScheduler reducing learning rate to tf.Tensor(0.00094724266, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1175 - val_loss: 0.1740
Epoch 224/300

Epoch 00224: LearningRateScheduler reducing learning rate to tf.Tensor(0.00094701146, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1146 - val_loss: 0.1807
Epoch 225/300

Epoch 00225: LearningRateScheduler reducing learning rate to tf.Tensor(0.00094678026, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1198 - val_loss: 0.1795
Epoch 226/300

Epoch 00226: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009465491, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1330 - val_loss: 0.1836
Epoch 227/300

Epoch 00227: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009463181, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1260 - val_loss: 0.1820
Epoch 228/300

Epoch 00228: LearningRateScheduler reducing learning rate to tf.Tensor(0.00094608706, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1228 - val_loss: 0.1813
Epoch 229/300

Epoch 00229: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009458561, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1321 - val_loss: 0.1885
Epoch 230/300

Epoch 00230: LearningRateScheduler reducing learning rate to tf.Tensor(0.00094562524, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1345 - val_loss: 0.1985
Epoch 231/300

Epoch 00231: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009453944, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1353 - val_loss: 0.1804
Epoch 232/300

Epoch 00232: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009451636, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1178 - val_loss: 0.1806
Epoch 233/300

Epoch 00233: LearningRateScheduler reducing learning rate to tf.Tensor(0.00094493286, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1182 - val_loss: 0.1827
Epoch 234/300

Epoch 00234: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009447022, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1183 - val_loss: 0.1820
Epoch 235/300

Epoch 00235: LearningRateScheduler reducing learning rate to tf.Tensor(0.00094447157, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1153 - val_loss: 0.1762
Epoch 236/300

Epoch 00236: LearningRateScheduler reducing learning rate to tf.Tensor(0.000944241, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1122 - val_loss: 0.1789
Epoch 237/300

Epoch 00237: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009440105, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1115 - val_loss: 0.1736
Epoch 238/300

Epoch 00238: LearningRateScheduler reducing learning rate to tf.Tensor(0.00094378006, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1098 - val_loss: 0.1785
Epoch 239/300

Epoch 00239: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009435497, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1101 - val_loss: 0.1737
Epoch 240/300

Epoch 00240: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009433193, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1105 - val_loss: 0.1749
Epoch 241/300

Epoch 00241: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009430891, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1108 - val_loss: 0.1745
Epoch 242/300

Epoch 00242: LearningRateScheduler reducing learning rate to tf.Tensor(0.00094285887, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1109 - val_loss: 0.1791
Epoch 243/300

Epoch 00243: LearningRateScheduler reducing learning rate to tf.Tensor(0.00094262866, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1127 - val_loss: 0.1780
Epoch 244/300

Epoch 00244: LearningRateScheduler reducing learning rate to tf.Tensor(0.00094239856, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1105 - val_loss: 0.1752
Epoch 245/300

Epoch 00245: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009421685, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1110 - val_loss: 0.1749
Epoch 246/300

Epoch 00246: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009419385, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1107 - val_loss: 0.1796
Epoch 247/300

Epoch 00247: LearningRateScheduler reducing learning rate to tf.Tensor(0.00094170857, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1123 - val_loss: 0.1795
Epoch 248/300

Epoch 00248: LearningRateScheduler reducing learning rate to tf.Tensor(0.00094147865, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1089 - val_loss: 0.1754
Epoch 249/300

Epoch 00249: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009412489, shape=(), dtype=float32).
123/123 [==============================] - 10s 82ms/step - loss: 0.1098 - val_loss: 0.1895
Epoch 250/300

Epoch 00250: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009410191, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1237 - val_loss: 0.1949
Epoch 251/300

Epoch 00251: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009407894, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1298 - val_loss: 0.2154
Epoch 252/300

Epoch 00252: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009405597, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1478 - val_loss: 0.1941
Epoch 253/300

Epoch 00253: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009403301, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1324 - val_loss: 0.1821
Epoch 254/300

Epoch 00254: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009401005, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1183 - val_loss: 0.1859
Epoch 255/300

Epoch 00255: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093987107, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1168 - val_loss: 0.1926
Epoch 256/300

Epoch 00256: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009396416, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1273 - val_loss: 0.1810
Epoch 257/300

Epoch 00257: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009394122, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1133 - val_loss: 0.1830
Epoch 258/300

Epoch 00258: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093918294, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1105 - val_loss: 0.1804
Epoch 259/300

Epoch 00259: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093895366, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1105 - val_loss: 0.1795
Epoch 260/300

Epoch 00260: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093872444, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1058 - val_loss: 0.1771
Epoch 261/300

Epoch 00261: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009384953, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1053 - val_loss: 0.1780
Epoch 262/300

Epoch 00262: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009382662, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1073 - val_loss: 0.1756
Epoch 263/300

Epoch 00263: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009380371, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1066 - val_loss: 0.1771
Epoch 264/300

Epoch 00264: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093780813, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1035 - val_loss: 0.1751
Epoch 265/300

Epoch 00265: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009375792, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1035 - val_loss: 0.1764
Epoch 266/300

Epoch 00266: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009373503, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1034 - val_loss: 0.1773
Epoch 267/300

Epoch 00267: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009371216, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1054 - val_loss: 0.1768
Epoch 268/300

Epoch 00268: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009368928, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1008 - val_loss: 0.1755
Epoch 269/300

Epoch 00269: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093666406, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1014 - val_loss: 0.1744
Epoch 270/300

Epoch 00270: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093643536, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1019 - val_loss: 0.1758
Epoch 271/300

Epoch 00271: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009362068, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1024 - val_loss: 0.1775
Epoch 272/300

Epoch 00272: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093597826, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1029 - val_loss: 0.1756
Epoch 273/300

Epoch 00273: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093574973, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1009 - val_loss: 0.1750
Epoch 274/300

Epoch 00274: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009355213, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1019 - val_loss: 0.1755
Epoch 275/300

Epoch 00275: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009352929, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1004 - val_loss: 0.1772
Epoch 276/300

Epoch 00276: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009350647, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1007 - val_loss: 0.1766
Epoch 277/300

Epoch 00277: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009348364, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1045 - val_loss: 0.1749
Epoch 278/300

Epoch 00278: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093460816, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1000 - val_loss: 0.1786
Epoch 279/300

Epoch 00279: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093438005, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1019 - val_loss: 0.1762
Epoch 280/300

Epoch 00280: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093415193, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.0997 - val_loss: 0.1753
Epoch 281/300

Epoch 00281: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009339239, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1006 - val_loss: 0.1815
Epoch 282/300

Epoch 00282: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009336959, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1131 - val_loss: 0.1796
Epoch 283/300

Epoch 00283: LearningRateScheduler reducing learning rate to tf.Tensor(0.000933468, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1051 - val_loss: 0.1773
Epoch 284/300

Epoch 00284: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009332401, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1015 - val_loss: 0.1777
Epoch 285/300

Epoch 00285: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009330123, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.0983 - val_loss: 0.1819
Epoch 286/300

Epoch 00286: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009327845, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1032 - val_loss: 0.1839
Epoch 287/300

Epoch 00287: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009325568, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1087 - val_loss: 0.1862
Epoch 288/300

Epoch 00288: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093232916, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1118 - val_loss: 0.1819
Epoch 289/300

Epoch 00289: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093210157, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1139 - val_loss: 0.1825
Epoch 290/300

Epoch 00290: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093187403, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1107 - val_loss: 0.1796
Epoch 291/300

Epoch 00291: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093164656, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1002 - val_loss: 0.1752
Epoch 292/300

Epoch 00292: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093141914, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.0989 - val_loss: 0.1759
Epoch 293/300

Epoch 00293: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009311917, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.0964 - val_loss: 0.1792
Epoch 294/300

Epoch 00294: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009309644, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1000 - val_loss: 0.1845
Epoch 295/300

Epoch 00295: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009307372, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1401 - val_loss: 0.1898
Epoch 296/300

Epoch 00296: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093051, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1170 - val_loss: 0.1872
Epoch 297/300

Epoch 00297: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009302828, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1069 - val_loss: 0.1765
Epoch 298/300

Epoch 00298: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093005574, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.0970 - val_loss: 0.1763
Epoch 299/300

Epoch 00299: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009298287, shape=(), dtype=float32).
123/123 [==============================] - 10s 81ms/step - loss: 0.0948 - val_loss: 0.1759
Epoch 300/300

Epoch 00300: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009296017, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.0946 - val_loss: 0.1766
--------------- > Fold 6 < ---------------
Epoch 1/300

Epoch 00001: LearningRateScheduler reducing learning rate to tf.Tensor(0.001, shape=(), dtype=float32).
123/123 [==============================] - 46s 185ms/step - loss: 3.2772 - val_loss: 1.0500
Epoch 2/300

Epoch 00002: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009997559, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.9535 - val_loss: 0.7437
Epoch 3/300

Epoch 00003: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009995119, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.7601 - val_loss: 0.6597
Epoch 4/300

Epoch 00004: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009992679, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.6535 - val_loss: 0.6105
Epoch 5/300

Epoch 00005: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009990239, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.6045 - val_loss: 0.5474
Epoch 6/300

Epoch 00006: LearningRateScheduler reducing learning rate to tf.Tensor(0.00099878, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.5458 - val_loss: 0.5840
Epoch 7/300

Epoch 00007: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009985362, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.4920 - val_loss: 0.4875
Epoch 8/300

Epoch 00008: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009982925, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.4937 - val_loss: 0.4540
Epoch 9/300

Epoch 00009: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009980488, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.4580 - val_loss: 0.4712
Epoch 10/300

Epoch 00010: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009978052, shape=(), dtype=float32).
123/123 [==============================] - 10s 79ms/step - loss: 0.4446 - val_loss: 0.4366
Epoch 11/300

Epoch 00011: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009975616, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.4271 - val_loss: 0.4184
Epoch 12/300

Epoch 00012: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009973181, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.4217 - val_loss: 0.4162
Epoch 13/300

Epoch 00013: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009970746, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.4262 - val_loss: 0.4080
Epoch 14/300

Epoch 00014: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009968312, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.3911 - val_loss: 0.3926
Epoch 15/300

Epoch 00015: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009965879, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.3861 - val_loss: 0.3794
Epoch 16/300

Epoch 00016: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009963446, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.3687 - val_loss: 0.3557
Epoch 17/300

Epoch 00017: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009961014, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.3616 - val_loss: 0.3623
Epoch 18/300

Epoch 00018: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009958582, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.3530 - val_loss: 0.3627
Epoch 19/300

Epoch 00019: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009956151, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.3488 - val_loss: 0.3468
Epoch 20/300

Epoch 00020: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009953721, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.3303 - val_loss: 0.3422
Epoch 21/300

Epoch 00021: LearningRateScheduler reducing learning rate to tf.Tensor(0.000995129, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.3287 - val_loss: 0.3353
Epoch 22/300

Epoch 00022: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009948862, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.3366 - val_loss: 0.3228
Epoch 23/300

Epoch 00023: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009946433, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.3257 - val_loss: 0.3347
Epoch 24/300

Epoch 00024: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009944005, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.3166 - val_loss: 0.3195
Epoch 25/300

Epoch 00025: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009941577, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.3148 - val_loss: 0.3217
Epoch 26/300

Epoch 00026: LearningRateScheduler reducing learning rate to tf.Tensor(0.000993915, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.3143 - val_loss: 0.3211
Epoch 27/300

Epoch 00027: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009936724, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.3203 - val_loss: 0.3297
Epoch 28/300

Epoch 00028: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009934298, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2944 - val_loss: 0.3186
Epoch 29/300

Epoch 00029: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009931873, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.2965 - val_loss: 0.3092
Epoch 30/300

Epoch 00030: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009929449, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.3117 - val_loss: 0.4081
Epoch 31/300

Epoch 00031: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009927024, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.3430 - val_loss: 0.2940
Epoch 32/300

Epoch 00032: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009924602, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.2891 - val_loss: 0.3122
Epoch 33/300

Epoch 00033: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009922179, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.3041 - val_loss: 0.3183
Epoch 34/300

Epoch 00034: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009919757, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.3100 - val_loss: 0.2944
Epoch 35/300

Epoch 00035: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009917335, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2863 - val_loss: 0.2844
Epoch 36/300

Epoch 00036: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009914914, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.2726 - val_loss: 0.2884
Epoch 37/300

Epoch 00037: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009912493, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.2798 - val_loss: 0.3378
Epoch 38/300

Epoch 00038: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009910074, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2835 - val_loss: 0.2754
Epoch 39/300

Epoch 00039: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009907655, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2631 - val_loss: 0.2676
Epoch 40/300

Epoch 00040: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009905236, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.2635 - val_loss: 0.3552
Epoch 41/300

Epoch 00041: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009902818, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.3089 - val_loss: 0.2860
Epoch 42/300

Epoch 00042: LearningRateScheduler reducing learning rate to tf.Tensor(0.00099004, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2696 - val_loss: 0.2546
Epoch 43/300

Epoch 00043: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009897983, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2542 - val_loss: 0.2960
Epoch 44/300

Epoch 00044: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009895568, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2605 - val_loss: 0.2614
Epoch 45/300

Epoch 00045: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009893152, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2522 - val_loss: 0.2690
Epoch 46/300

Epoch 00046: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009890737, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2537 - val_loss: 0.4648
Epoch 47/300

Epoch 00047: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009888322, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.3823 - val_loss: 0.2972
Epoch 48/300

Epoch 00048: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009885909, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2839 - val_loss: 0.3143
Epoch 49/300

Epoch 00049: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009883496, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.3001 - val_loss: 0.2673
Epoch 50/300

Epoch 00050: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009881082, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.2615 - val_loss: 0.2691
Epoch 51/300

Epoch 00051: LearningRateScheduler reducing learning rate to tf.Tensor(0.000987867, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.2689 - val_loss: 0.2767
Epoch 52/300

Epoch 00052: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009876259, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2554 - val_loss: 0.2460
Epoch 53/300

Epoch 00053: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009873848, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2381 - val_loss: 0.2751
Epoch 54/300

Epoch 00054: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009871437, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2351 - val_loss: 0.2609
Epoch 55/300

Epoch 00055: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009869027, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2329 - val_loss: 0.2373
Epoch 56/300

Epoch 00056: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009866619, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.2215 - val_loss: 0.2417
Epoch 57/300

Epoch 00057: LearningRateScheduler reducing learning rate to tf.Tensor(0.000986421, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2240 - val_loss: 0.2417
Epoch 58/300

Epoch 00058: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009861803, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2376 - val_loss: 0.2497
Epoch 59/300

Epoch 00059: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009859395, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2476 - val_loss: 0.2380
Epoch 60/300

Epoch 00060: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009856988, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2212 - val_loss: 0.2360
Epoch 61/300

Epoch 00061: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009854581, shape=(), dtype=float32).
123/123 [==============================] - 11s 87ms/step - loss: 0.2206 - val_loss: 0.2810
Epoch 62/300

Epoch 00062: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009852176, shape=(), dtype=float32).
123/123 [==============================] - 10s 78ms/step - loss: 0.2530 - val_loss: 0.3053
Epoch 63/300

Epoch 00063: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009849771, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2501 - val_loss: 0.3214
Epoch 64/300

Epoch 00064: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009847367, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2580 - val_loss: 0.2487
Epoch 65/300

Epoch 00065: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009844963, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2324 - val_loss: 0.2621
Epoch 66/300

Epoch 00066: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009842559, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2313 - val_loss: 0.2594
Epoch 67/300

Epoch 00067: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009840156, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2267 - val_loss: 0.2283
Epoch 68/300

Epoch 00068: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009837755, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2157 - val_loss: 0.2391
Epoch 69/300

Epoch 00069: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009835353, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2110 - val_loss: 0.2309
Epoch 70/300

Epoch 00070: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009832951, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2151 - val_loss: 0.2457
Epoch 71/300

Epoch 00071: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009830552, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2190 - val_loss: 0.2326
Epoch 72/300

Epoch 00072: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009828152, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2196 - val_loss: 0.2390
Epoch 73/300

Epoch 00073: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009825752, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2105 - val_loss: 0.2263
Epoch 74/300

Epoch 00074: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009823354, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2093 - val_loss: 0.2349
Epoch 75/300

Epoch 00075: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009820956, shape=(), dtype=float32).
123/123 [==============================] - 10s 81ms/step - loss: 0.2151 - val_loss: 0.4159
Epoch 76/300

Epoch 00076: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009818559, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.3218 - val_loss: 0.2454
Epoch 77/300

Epoch 00077: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009816162, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2330 - val_loss: 0.2327
Epoch 78/300

Epoch 00078: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009813765, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2404 - val_loss: 0.2767
Epoch 79/300

Epoch 00079: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009811369, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2354 - val_loss: 0.2347
Epoch 80/300

Epoch 00080: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009808975, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2157 - val_loss: 0.2244
Epoch 81/300

Epoch 00081: LearningRateScheduler reducing learning rate to tf.Tensor(0.000980658, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2361 - val_loss: 0.2286
Epoch 82/300

Epoch 00082: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009804186, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2066 - val_loss: 0.2265
Epoch 83/300

Epoch 00083: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009801793, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2134 - val_loss: 0.2155
Epoch 84/300

Epoch 00084: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009799399, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2050 - val_loss: 0.2252
Epoch 85/300

Epoch 00085: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009797008, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2037 - val_loss: 0.2331
Epoch 86/300

Epoch 00086: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009794617, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2038 - val_loss: 0.2163
Epoch 87/300

Epoch 00087: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009792225, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1966 - val_loss: 0.2287
Epoch 88/300

Epoch 00088: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009789835, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1993 - val_loss: 0.2113
Epoch 89/300

Epoch 00089: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009787445, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1983 - val_loss: 0.2306
Epoch 90/300

Epoch 00090: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009785056, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1987 - val_loss: 0.2195
Epoch 91/300

Epoch 00091: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009782667, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1961 - val_loss: 0.2159
Epoch 92/300

Epoch 00092: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009780279, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1997 - val_loss: 0.2137
Epoch 93/300

Epoch 00093: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009777892, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1876 - val_loss: 0.2745
Epoch 94/300

Epoch 00094: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009775504, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2503 - val_loss: 0.2939
Epoch 95/300

Epoch 00095: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009773119, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2387 - val_loss: 0.2298
Epoch 96/300

Epoch 00096: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009770732, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.2106 - val_loss: 0.2275
Epoch 97/300

Epoch 00097: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009768348, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2154 - val_loss: 0.2490
Epoch 98/300

Epoch 00098: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009765963, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2134 - val_loss: 0.2169
Epoch 99/300

Epoch 00099: LearningRateScheduler reducing learning rate to tf.Tensor(0.00097635784, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1961 - val_loss: 0.2112
Epoch 100/300

Epoch 00100: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009761195, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1950 - val_loss: 0.2221
Epoch 101/300

Epoch 00101: LearningRateScheduler reducing learning rate to tf.Tensor(0.00097588124, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1915 - val_loss: 0.2135
Epoch 102/300

Epoch 00102: LearningRateScheduler reducing learning rate to tf.Tensor(0.00097564305, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1863 - val_loss: 0.2058
Epoch 103/300

Epoch 00103: LearningRateScheduler reducing learning rate to tf.Tensor(0.00097540487, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1860 - val_loss: 0.2394
Epoch 104/300

Epoch 00104: LearningRateScheduler reducing learning rate to tf.Tensor(0.00097516674, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2455 - val_loss: 0.2093
Epoch 105/300

Epoch 00105: LearningRateScheduler reducing learning rate to tf.Tensor(0.00097492867, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1863 - val_loss: 0.2018
Epoch 106/300

Epoch 00106: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009746907, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1963 - val_loss: 0.2118
Epoch 107/300

Epoch 00107: LearningRateScheduler reducing learning rate to tf.Tensor(0.00097445276, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1831 - val_loss: 0.2266
Epoch 108/300

Epoch 00108: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009742149, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1948 - val_loss: 0.2074
Epoch 109/300

Epoch 00109: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009739771, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1807 - val_loss: 0.1956
Epoch 110/300

Epoch 00110: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009737393, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1777 - val_loss: 0.2066
Epoch 111/300

Epoch 00111: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009735016, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1779 - val_loss: 0.2048
Epoch 112/300

Epoch 00112: LearningRateScheduler reducing learning rate to tf.Tensor(0.000973264, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1742 - val_loss: 0.2000
Epoch 113/300

Epoch 00113: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009730264, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1702 - val_loss: 0.1980
Epoch 114/300

Epoch 00114: LearningRateScheduler reducing learning rate to tf.Tensor(0.00097278884, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1738 - val_loss: 0.2011
Epoch 115/300

Epoch 00115: LearningRateScheduler reducing learning rate to tf.Tensor(0.00097255135, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1774 - val_loss: 0.2027
Epoch 116/300

Epoch 00116: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009723139, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1744 - val_loss: 0.2025
Epoch 117/300

Epoch 00117: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009720766, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1748 - val_loss: 0.1975
Epoch 118/300

Epoch 00118: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009718393, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1719 - val_loss: 0.1976
Epoch 119/300

Epoch 00119: LearningRateScheduler reducing learning rate to tf.Tensor(0.00097160204, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1715 - val_loss: 0.2035
Epoch 120/300

Epoch 00120: LearningRateScheduler reducing learning rate to tf.Tensor(0.00097136485, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1848 - val_loss: 0.2737
Epoch 121/300

Epoch 00121: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009711277, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.2164 - val_loss: 0.2043
Epoch 122/300

Epoch 00122: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009708907, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1819 - val_loss: 0.2118
Epoch 123/300

Epoch 00123: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009706537, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1835 - val_loss: 0.2083
Epoch 124/300

Epoch 00124: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009704167, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1789 - val_loss: 0.2106
Epoch 125/300

Epoch 00125: LearningRateScheduler reducing learning rate to tf.Tensor(0.00097017986, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1708 - val_loss: 0.2077
Epoch 126/300

Epoch 00126: LearningRateScheduler reducing learning rate to tf.Tensor(0.00096994295, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1998 - val_loss: 0.2081
Epoch 127/300

Epoch 00127: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009697062, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1716 - val_loss: 0.1925
Epoch 128/300

Epoch 00128: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009694695, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1718 - val_loss: 0.2135
Epoch 129/300

Epoch 00129: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009692328, shape=(), dtype=float32).
123/123 [==============================] - 10s 81ms/step - loss: 0.1714 - val_loss: 0.1914
Epoch 130/300

Epoch 00130: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009689962, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1691 - val_loss: 0.1923
Epoch 131/300

Epoch 00131: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009687597, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1610 - val_loss: 0.1873
Epoch 132/300

Epoch 00132: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009685232, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1639 - val_loss: 0.1920
Epoch 133/300

Epoch 00133: LearningRateScheduler reducing learning rate to tf.Tensor(0.00096828677, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1616 - val_loss: 0.1954
Epoch 134/300

Epoch 00134: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009680504, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1832 - val_loss: 0.1927
Epoch 135/300

Epoch 00135: LearningRateScheduler reducing learning rate to tf.Tensor(0.00096781406, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1648 - val_loss: 0.1951
Epoch 136/300

Epoch 00136: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009675778, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1621 - val_loss: 0.1950
Epoch 137/300

Epoch 00137: LearningRateScheduler reducing learning rate to tf.Tensor(0.00096734165, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1778 - val_loss: 0.1958
Epoch 138/300

Epoch 00138: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009671055, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1694 - val_loss: 0.1876
Epoch 139/300

Epoch 00139: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009668694, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1551 - val_loss: 0.1893
Epoch 140/300

Epoch 00140: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009666334, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1587 - val_loss: 0.1914
Epoch 141/300

Epoch 00141: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009663974, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1581 - val_loss: 0.1963
Epoch 142/300

Epoch 00142: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009661615, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1628 - val_loss: 0.2004
Epoch 143/300

Epoch 00143: LearningRateScheduler reducing learning rate to tf.Tensor(0.00096592563, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1627 - val_loss: 0.1965
Epoch 144/300

Epoch 00144: LearningRateScheduler reducing learning rate to tf.Tensor(0.00096568983, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1596 - val_loss: 0.2022
Epoch 145/300

Epoch 00145: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009654541, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1578 - val_loss: 0.1884
Epoch 146/300

Epoch 00146: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009652184, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1517 - val_loss: 0.1885
Epoch 147/300

Epoch 00147: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009649828, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1530 - val_loss: 0.1866
Epoch 148/300

Epoch 00148: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009647472, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1488 - val_loss: 0.1944
Epoch 149/300

Epoch 00149: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009645117, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1542 - val_loss: 0.1874
Epoch 150/300

Epoch 00150: LearningRateScheduler reducing learning rate to tf.Tensor(0.00096427626, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1545 - val_loss: 0.1840
Epoch 151/300

Epoch 00151: LearningRateScheduler reducing learning rate to tf.Tensor(0.00096404087, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1474 - val_loss: 0.1851
Epoch 152/300

Epoch 00152: LearningRateScheduler reducing learning rate to tf.Tensor(0.00096380553, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1494 - val_loss: 0.1854
Epoch 153/300

Epoch 00153: LearningRateScheduler reducing learning rate to tf.Tensor(0.00096357026, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1505 - val_loss: 0.1895
Epoch 154/300

Epoch 00154: LearningRateScheduler reducing learning rate to tf.Tensor(0.00096333504, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1493 - val_loss: 0.1852
Epoch 155/300

Epoch 00155: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009630999, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1456 - val_loss: 0.1845
Epoch 156/300

Epoch 00156: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009628647, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1434 - val_loss: 0.1917
Epoch 157/300

Epoch 00157: LearningRateScheduler reducing learning rate to tf.Tensor(0.00096262974, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1590 - val_loss: 0.1935
Epoch 158/300

Epoch 00158: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009623947, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1600 - val_loss: 0.1961
Epoch 159/300

Epoch 00159: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009621598, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1575 - val_loss: 0.1904
Epoch 160/300

Epoch 00160: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009619249, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1502 - val_loss: 0.1845
Epoch 161/300

Epoch 00161: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009616901, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1513 - val_loss: 0.1853
Epoch 162/300

Epoch 00162: LearningRateScheduler reducing learning rate to tf.Tensor(0.00096145534, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1408 - val_loss: 0.1888
Epoch 163/300

Epoch 00163: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009612206, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1432 - val_loss: 0.1839
Epoch 164/300

Epoch 00164: LearningRateScheduler reducing learning rate to tf.Tensor(0.000960986, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1398 - val_loss: 0.1848
Epoch 165/300

Epoch 00165: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009607514, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1418 - val_loss: 0.1922
Epoch 166/300

Epoch 00166: LearningRateScheduler reducing learning rate to tf.Tensor(0.00096051686, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1427 - val_loss: 0.1870
Epoch 167/300

Epoch 00167: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009602824, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1487 - val_loss: 0.1848
Epoch 168/300

Epoch 00168: LearningRateScheduler reducing learning rate to tf.Tensor(0.00096004794, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1463 - val_loss: 0.1908
Epoch 169/300

Epoch 00169: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009598136, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1431 - val_loss: 0.1855
Epoch 170/300

Epoch 00170: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095957925, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1448 - val_loss: 0.1873
Epoch 171/300

Epoch 00171: LearningRateScheduler reducing learning rate to tf.Tensor(0.000959345, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1440 - val_loss: 0.1862
Epoch 172/300

Epoch 00172: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095911085, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1436 - val_loss: 0.1859
Epoch 173/300

Epoch 00173: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095887674, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1481 - val_loss: 0.1880
Epoch 174/300

Epoch 00174: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095864263, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1416 - val_loss: 0.1876
Epoch 175/300

Epoch 00175: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095840864, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1401 - val_loss: 0.2052
Epoch 176/300

Epoch 00176: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009581747, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1487 - val_loss: 0.1829
Epoch 177/300

Epoch 00177: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095794076, shape=(), dtype=float32).
123/123 [==============================] - 10s 82ms/step - loss: 0.1367 - val_loss: 0.1817
Epoch 178/300

Epoch 00178: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095770694, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1327 - val_loss: 0.1802
Epoch 179/300

Epoch 00179: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009574731, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1351 - val_loss: 0.1835
Epoch 180/300

Epoch 00180: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095723936, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1375 - val_loss: 0.1821
Epoch 181/300

Epoch 00181: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009570057, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1437 - val_loss: 0.1908
Epoch 182/300

Epoch 00182: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095677207, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1490 - val_loss: 0.1919
Epoch 183/300

Epoch 00183: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095653854, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1530 - val_loss: 0.2157
Epoch 184/300

Epoch 00184: LearningRateScheduler reducing learning rate to tf.Tensor(0.000956305, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1520 - val_loss: 0.1853
Epoch 185/300

Epoch 00185: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009560716, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1372 - val_loss: 0.1887
Epoch 186/300

Epoch 00186: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009558382, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1433 - val_loss: 0.1851
Epoch 187/300

Epoch 00187: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095560483, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1326 - val_loss: 0.1843
Epoch 188/300

Epoch 00188: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009553716, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1330 - val_loss: 0.1832
Epoch 189/300

Epoch 00189: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095513836, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1297 - val_loss: 0.1823
Epoch 190/300

Epoch 00190: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009549052, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1288 - val_loss: 0.1793
Epoch 191/300

Epoch 00191: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009546721, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1258 - val_loss: 0.1822
Epoch 192/300

Epoch 00192: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095443905, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1252 - val_loss: 0.1787
Epoch 193/300

Epoch 00193: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095420604, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1261 - val_loss: 0.1814
Epoch 194/300

Epoch 00194: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009539731, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1314 - val_loss: 0.1790
Epoch 195/300

Epoch 00195: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009537402, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1246 - val_loss: 0.1810
Epoch 196/300

Epoch 00196: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095350744, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1244 - val_loss: 0.1831
Epoch 197/300

Epoch 00197: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095327466, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1294 - val_loss: 0.1846
Epoch 198/300

Epoch 00198: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095304195, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1285 - val_loss: 0.1838
Epoch 199/300

Epoch 00199: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009528093, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1265 - val_loss: 0.1844
Epoch 200/300

Epoch 00200: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009525767, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1288 - val_loss: 0.1851
Epoch 201/300

Epoch 00201: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095234415, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1278 - val_loss: 0.1810
Epoch 202/300

Epoch 00202: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095211173, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1293 - val_loss: 0.1797
Epoch 203/300

Epoch 00203: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095187925, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1212 - val_loss: 0.1776
Epoch 204/300

Epoch 00204: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009516469, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1206 - val_loss: 0.1809
Epoch 205/300

Epoch 00205: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009514146, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1213 - val_loss: 0.1756
Epoch 206/300

Epoch 00206: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009511823, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1224 - val_loss: 0.1932
Epoch 207/300

Epoch 00207: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095095014, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1495 - val_loss: 0.2052
Epoch 208/300

Epoch 00208: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095071795, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1474 - val_loss: 0.1920
Epoch 209/300

Epoch 00209: LearningRateScheduler reducing learning rate to tf.Tensor(0.00095048593, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1412 - val_loss: 0.1796
Epoch 210/300

Epoch 00210: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009502539, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1237 - val_loss: 0.1875
Epoch 211/300

Epoch 00211: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009500219, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1299 - val_loss: 0.2221
Epoch 212/300

Epoch 00212: LearningRateScheduler reducing learning rate to tf.Tensor(0.00094979, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1614 - val_loss: 0.1858
Epoch 213/300

Epoch 00213: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009495581, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1289 - val_loss: 0.1889
Epoch 214/300

Epoch 00214: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009493263, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1271 - val_loss: 0.1851
Epoch 215/300

Epoch 00215: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009490946, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1246 - val_loss: 0.1821
Epoch 216/300

Epoch 00216: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009488629, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1233 - val_loss: 0.1844
Epoch 217/300

Epoch 00217: LearningRateScheduler reducing learning rate to tf.Tensor(0.00094863126, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1209 - val_loss: 0.1773
Epoch 218/300

Epoch 00218: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009483997, shape=(), dtype=float32).
123/123 [==============================] - 9s 75ms/step - loss: 0.1187 - val_loss: 0.1774
Epoch 219/300

Epoch 00219: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009481682, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1168 - val_loss: 0.1817
Epoch 220/300

Epoch 00220: LearningRateScheduler reducing learning rate to tf.Tensor(0.00094793667, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1167 - val_loss: 0.1776
Epoch 221/300

Epoch 00221: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009477053, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1149 - val_loss: 0.1758
Epoch 222/300

Epoch 00222: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009474739, shape=(), dtype=float32).
123/123 [==============================] - 10s 78ms/step - loss: 0.1115 - val_loss: 0.1833
Epoch 223/300

Epoch 00223: LearningRateScheduler reducing learning rate to tf.Tensor(0.00094724266, shape=(), dtype=float32).
123/123 [==============================] - 10s 78ms/step - loss: 0.1179 - val_loss: 0.1844
Epoch 224/300

Epoch 00224: LearningRateScheduler reducing learning rate to tf.Tensor(0.00094701146, shape=(), dtype=float32).
123/123 [==============================] - 10s 78ms/step - loss: 0.1238 - val_loss: 0.1787
Epoch 225/300

Epoch 00225: LearningRateScheduler reducing learning rate to tf.Tensor(0.00094678026, shape=(), dtype=float32).
123/123 [==============================] - 10s 78ms/step - loss: 0.1154 - val_loss: 0.1749
Epoch 226/300

Epoch 00226: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009465491, shape=(), dtype=float32).
123/123 [==============================] - 10s 78ms/step - loss: 0.1127 - val_loss: 0.1786
Epoch 227/300

Epoch 00227: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009463181, shape=(), dtype=float32).
123/123 [==============================] - 11s 86ms/step - loss: 0.1164 - val_loss: 0.1768
Epoch 228/300

Epoch 00228: LearningRateScheduler reducing learning rate to tf.Tensor(0.00094608706, shape=(), dtype=float32).
123/123 [==============================] - 10s 77ms/step - loss: 0.1098 - val_loss: 0.1756
Epoch 229/300

Epoch 00229: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009458561, shape=(), dtype=float32).
123/123 [==============================] - 10s 79ms/step - loss: 0.1093 - val_loss: 0.1755
Epoch 230/300

Epoch 00230: LearningRateScheduler reducing learning rate to tf.Tensor(0.00094562524, shape=(), dtype=float32).
123/123 [==============================] - 10s 79ms/step - loss: 0.1084 - val_loss: 0.1801
Epoch 231/300

Epoch 00231: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009453944, shape=(), dtype=float32).
123/123 [==============================] - 10s 78ms/step - loss: 0.1125 - val_loss: 0.1770
Epoch 232/300

Epoch 00232: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009451636, shape=(), dtype=float32).
123/123 [==============================] - 10s 79ms/step - loss: 0.1105 - val_loss: 0.1769
Epoch 233/300

Epoch 00233: LearningRateScheduler reducing learning rate to tf.Tensor(0.00094493286, shape=(), dtype=float32).
123/123 [==============================] - 10s 79ms/step - loss: 0.1113 - val_loss: 0.1782
Epoch 234/300

Epoch 00234: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009447022, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1104 - val_loss: 0.1855
Epoch 235/300

Epoch 00235: LearningRateScheduler reducing learning rate to tf.Tensor(0.00094447157, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1308 - val_loss: 0.1889
Epoch 236/300

Epoch 00236: LearningRateScheduler reducing learning rate to tf.Tensor(0.000944241, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1256 - val_loss: 0.1809
Epoch 237/300

Epoch 00237: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009440105, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1153 - val_loss: 0.1765
Epoch 238/300

Epoch 00238: LearningRateScheduler reducing learning rate to tf.Tensor(0.00094378006, shape=(), dtype=float32).
123/123 [==============================] - 10s 77ms/step - loss: 0.1319 - val_loss: 0.1904
Epoch 239/300

Epoch 00239: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009435497, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1234 - val_loss: 0.1827
Epoch 240/300

Epoch 00240: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009433193, shape=(), dtype=float32).
123/123 [==============================] - 10s 78ms/step - loss: 0.1207 - val_loss: 0.1816
Epoch 241/300

Epoch 00241: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009430891, shape=(), dtype=float32).
123/123 [==============================] - 10s 77ms/step - loss: 0.1157 - val_loss: 0.1800
Epoch 242/300

Epoch 00242: LearningRateScheduler reducing learning rate to tf.Tensor(0.00094285887, shape=(), dtype=float32).
123/123 [==============================] - 10s 77ms/step - loss: 0.1095 - val_loss: 0.1748
Epoch 243/300

Epoch 00243: LearningRateScheduler reducing learning rate to tf.Tensor(0.00094262866, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1083 - val_loss: 0.1769
Epoch 244/300

Epoch 00244: LearningRateScheduler reducing learning rate to tf.Tensor(0.00094239856, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1059 - val_loss: 0.1756
Epoch 245/300

Epoch 00245: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009421685, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1049 - val_loss: 0.1784
Epoch 246/300

Epoch 00246: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009419385, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1042 - val_loss: 0.1772
Epoch 247/300

Epoch 00247: LearningRateScheduler reducing learning rate to tf.Tensor(0.00094170857, shape=(), dtype=float32).
123/123 [==============================] - 10s 78ms/step - loss: 0.1043 - val_loss: 0.1739
Epoch 248/300

Epoch 00248: LearningRateScheduler reducing learning rate to tf.Tensor(0.00094147865, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1036 - val_loss: 0.1755
Epoch 249/300

Epoch 00249: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009412489, shape=(), dtype=float32).
123/123 [==============================] - 10s 78ms/step - loss: 0.1037 - val_loss: 0.1759
Epoch 250/300

Epoch 00250: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009410191, shape=(), dtype=float32).
123/123 [==============================] - 10s 78ms/step - loss: 0.1026 - val_loss: 0.1755
Epoch 251/300

Epoch 00251: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009407894, shape=(), dtype=float32).
123/123 [==============================] - 10s 78ms/step - loss: 0.1067 - val_loss: 0.1816
Epoch 252/300

Epoch 00252: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009405597, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1144 - val_loss: 0.1771
Epoch 253/300

Epoch 00253: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009403301, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1123 - val_loss: 0.1852
Epoch 254/300

Epoch 00254: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009401005, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1132 - val_loss: 0.1773
Epoch 255/300

Epoch 00255: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093987107, shape=(), dtype=float32).
123/123 [==============================] - 9s 76ms/step - loss: 0.1044 - val_loss: 0.1796
Epoch 256/300

Epoch 00256: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009396416, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1076 - val_loss: 0.1806
Epoch 257/300

Epoch 00257: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009394122, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1087 - val_loss: 0.1808
Epoch 258/300

Epoch 00258: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093918294, shape=(), dtype=float32).
123/123 [==============================] - 10s 78ms/step - loss: 0.1047 - val_loss: 0.1770
Epoch 259/300

Epoch 00259: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093895366, shape=(), dtype=float32).
123/123 [==============================] - 10s 77ms/step - loss: 0.1024 - val_loss: 0.1767
Epoch 260/300

Epoch 00260: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093872444, shape=(), dtype=float32).
123/123 [==============================] - 10s 78ms/step - loss: 0.1016 - val_loss: 0.1757
Epoch 261/300

Epoch 00261: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009384953, shape=(), dtype=float32).
123/123 [==============================] - 10s 77ms/step - loss: 0.1004 - val_loss: 0.1748
Epoch 262/300

Epoch 00262: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009382662, shape=(), dtype=float32).
123/123 [==============================] - 10s 77ms/step - loss: 0.1000 - val_loss: 0.1754
Epoch 263/300

Epoch 00263: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009380371, shape=(), dtype=float32).
123/123 [==============================] - 10s 78ms/step - loss: 0.0988 - val_loss: 0.1796
Epoch 264/300

Epoch 00264: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093780813, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1009 - val_loss: 0.1745
Epoch 265/300

Epoch 00265: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009375792, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.0977 - val_loss: 0.1763
Epoch 266/300

Epoch 00266: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009373503, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.0965 - val_loss: 0.1758
Epoch 267/300

Epoch 00267: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009371216, shape=(), dtype=float32).
123/123 [==============================] - 10s 78ms/step - loss: 0.0967 - val_loss: 0.1760
Epoch 268/300

Epoch 00268: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009368928, shape=(), dtype=float32).
123/123 [==============================] - 10s 78ms/step - loss: 0.0987 - val_loss: 0.1758
Epoch 269/300

Epoch 00269: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093666406, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.0967 - val_loss: 0.1765
Epoch 270/300

Epoch 00270: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093643536, shape=(), dtype=float32).
123/123 [==============================] - 10s 77ms/step - loss: 0.0972 - val_loss: 0.1779
Epoch 271/300

Epoch 00271: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009362068, shape=(), dtype=float32).
123/123 [==============================] - 10s 78ms/step - loss: 0.0970 - val_loss: 0.1755
Epoch 272/300

Epoch 00272: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093597826, shape=(), dtype=float32).
123/123 [==============================] - 10s 77ms/step - loss: 0.0986 - val_loss: 0.1765
Epoch 273/300

Epoch 00273: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093574973, shape=(), dtype=float32).
123/123 [==============================] - 10s 78ms/step - loss: 0.0996 - val_loss: 0.1869
Epoch 274/300

Epoch 00274: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009355213, shape=(), dtype=float32).
123/123 [==============================] - 10s 78ms/step - loss: 0.1272 - val_loss: 0.1835
Epoch 275/300

Epoch 00275: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009352929, shape=(), dtype=float32).
123/123 [==============================] - 10s 77ms/step - loss: 0.1070 - val_loss: 0.1809
Epoch 276/300

Epoch 00276: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009350647, shape=(), dtype=float32).
123/123 [==============================] - 10s 85ms/step - loss: 0.0993 - val_loss: 0.1768
Epoch 277/300

Epoch 00277: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009348364, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1023 - val_loss: 0.2024
Epoch 278/300

Epoch 00278: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093460816, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1279 - val_loss: 0.2015
Epoch 279/300

Epoch 00279: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093438005, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.1316 - val_loss: 0.1951
Epoch 280/300

Epoch 00280: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093415193, shape=(), dtype=float32).
123/123 [==============================] - 10s 77ms/step - loss: 0.1203 - val_loss: 0.1826
Epoch 281/300

Epoch 00281: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009339239, shape=(), dtype=float32).
123/123 [==============================] - 10s 78ms/step - loss: 0.1121 - val_loss: 0.1791
Epoch 282/300

Epoch 00282: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009336959, shape=(), dtype=float32).
123/123 [==============================] - 10s 78ms/step - loss: 0.1014 - val_loss: 0.1772
Epoch 283/300

Epoch 00283: LearningRateScheduler reducing learning rate to tf.Tensor(0.000933468, shape=(), dtype=float32).
123/123 [==============================] - 10s 78ms/step - loss: 0.0982 - val_loss: 0.1850
Epoch 284/300

Epoch 00284: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009332401, shape=(), dtype=float32).
123/123 [==============================] - 10s 78ms/step - loss: 0.1147 - val_loss: 0.1928
Epoch 285/300

Epoch 00285: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009330123, shape=(), dtype=float32).
123/123 [==============================] - 10s 78ms/step - loss: 0.1166 - val_loss: 0.1834
Epoch 286/300

Epoch 00286: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009327845, shape=(), dtype=float32).
123/123 [==============================] - 10s 78ms/step - loss: 0.1059 - val_loss: 0.1862
Epoch 287/300

Epoch 00287: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009325568, shape=(), dtype=float32).
123/123 [==============================] - 10s 78ms/step - loss: 0.1050 - val_loss: 0.1813
Epoch 288/300

Epoch 00288: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093232916, shape=(), dtype=float32).
123/123 [==============================] - 10s 78ms/step - loss: 0.1019 - val_loss: 0.1944
Epoch 289/300

Epoch 00289: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093210157, shape=(), dtype=float32).
123/123 [==============================] - 10s 79ms/step - loss: 0.1127 - val_loss: 0.1816
Epoch 290/300

Epoch 00290: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093187403, shape=(), dtype=float32).
123/123 [==============================] - 10s 78ms/step - loss: 0.1012 - val_loss: 0.1810
Epoch 291/300

Epoch 00291: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093164656, shape=(), dtype=float32).
123/123 [==============================] - 10s 78ms/step - loss: 0.0998 - val_loss: 0.1777
Epoch 292/300

Epoch 00292: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093141914, shape=(), dtype=float32).
123/123 [==============================] - 10s 77ms/step - loss: 0.0926 - val_loss: 0.1787
Epoch 293/300

Epoch 00293: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009311917, shape=(), dtype=float32).
123/123 [==============================] - 10s 77ms/step - loss: 0.0917 - val_loss: 0.1788
Epoch 294/300

Epoch 00294: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009309644, shape=(), dtype=float32).
123/123 [==============================] - 9s 77ms/step - loss: 0.0919 - val_loss: 0.1762
Epoch 295/300

Epoch 00295: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009307372, shape=(), dtype=float32).
123/123 [==============================] - 10s 78ms/step - loss: 0.0894 - val_loss: 0.1774
Epoch 296/300

Epoch 00296: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093051, shape=(), dtype=float32).
123/123 [==============================] - 10s 81ms/step - loss: 0.0910 - val_loss: 0.1767
Epoch 297/300

Epoch 00297: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009302828, shape=(), dtype=float32).
123/123 [==============================] - 10s 78ms/step - loss: 0.0884 - val_loss: 0.1853
Epoch 298/300

Epoch 00298: LearningRateScheduler reducing learning rate to tf.Tensor(0.00093005574, shape=(), dtype=float32).
123/123 [==============================] - 10s 78ms/step - loss: 0.0950 - val_loss: 0.1751
Epoch 299/300

Epoch 00299: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009298287, shape=(), dtype=float32).
123/123 [==============================] - 10s 79ms/step - loss: 0.0884 - val_loss: 0.1757
Epoch 300/300

Epoch 00300: LearningRateScheduler reducing learning rate to tf.Tensor(0.0009296017, shape=(), dtype=float32).
123/123 [==============================] - 10s 78ms/step - loss: 0.0877 - val_loss: 0.1762

output = pd.read_csv(path + 'sample_submission.csv')
output.pressure = sum(test_preds) / FOLDS
output.to_csv('submission.csv', index=False)

test['pressure'] = submission['pressure']

test["seq"] = test.groupby(["breath_id"])["id"].cumcount()

import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
test["pressure"] = np.around (test["pressure"].values, decimals=1)
             
base = test.drop_duplicates (subset=["R","C","pressure"])[["R","C", "pressure"]]
sns.set(font_scale=1.2)
for seq in range(80):
    train_seq = test.query("seq == @seq")
    time = train_seq["time_step"].mean()
    df = train_seq.groupby (["R","C","pressure"]).agg({"id":"count"}).reset_index()
    df = df.append (base)
    df = df.groupby (["R","C","pressure"]).agg({"id":"sum"}).reset_index()
    df["log1p_id"] = np.log1p(df["id"])
    heat_map = df.pivot(index=["R","C"], columns="pressure", values="log1p_id").fillna(0)
    fig = plt.figure ( figsize=(15,5) )
    g=sns.heatmap(heat_map, vmin=0, vmax=7, xticklabels=30, cbar_kws={'label': 'log1p(count)'}, cmap="Greens",)
    g.set(xlabel=None)
    plt.text(670.0, 0.7, f"frame: {seq}, time: {time:.2f}", horizontalalignment='left', size='large', color='white', weight='semibold')
    plt.tight_layout()
    plt.savefig(f'./OutputFrames/frame{seq:05d}.jpg')
    plt.close(fig)

# !ffmpeg -y -framerate 15  -i ./frame%5d.jpg  ../Presentation/output.mp4