Coursera

Ungraded Lab: Build a Multi-output Model

In this lab, we’ll show how you can build models with more than one output. The dataset we will be working on is available from the UCI Machine Learning Repository. It is an Energy Efficiency dataset which uses the bulding features (e.g. wall area, roof area) as inputs and has two outputs: Cooling Load and Heating Load. Let’s see how we can build a model to train on this data.

Imports

try:
  # %tensorflow_version only exists in Colab.
  %tensorflow_version 2.x
except Exception:
  pass

import tensorflow as tf
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
from tensorflow.keras.models import Model
from tensorflow.keras.layers import Dense, Input
from sklearn.model_selection import train_test_split

Utilities

We define a few utilities for data conversion and visualization to make our code more neat.

def format_output(data):
    y1 = data.pop('Y1')
    y1 = np.array(y1)
    y2 = data.pop('Y2')
    y2 = np.array(y2)
    return y1, y2


def norm(x):
    return (x - train_stats['mean']) / train_stats['std']


def plot_diff(y_true, y_pred, title=''):
    plt.scatter(y_true, y_pred)
    plt.title(title)
    plt.xlabel('True Values')
    plt.ylabel('Predictions')
    plt.axis('equal')
    plt.axis('square')
    plt.xlim(plt.xlim())
    plt.ylim(plt.ylim())
    plt.plot([-100, 100], [-100, 100])
    plt.show()


def plot_metrics(metric_name, title, ylim=5):
    plt.title(title)
    plt.ylim(0, ylim)
    plt.plot(history.history[metric_name], color='blue', label=metric_name)
    plt.plot(history.history['val_' + metric_name], color='green', label='val_' + metric_name)
    plt.show()

Prepare the Data

We download the dataset and format it for training.

# Specify data URI
URI = './data/ENB2012_data.xlsx'

# Use pandas excel reader
df = pd.read_excel(URI)
df = df.sample(frac=1).reset_index(drop=True)

# Split the data into train and test with 80 train / 20 test
train, test = train_test_split(df, test_size=0.2)
train_stats = train.describe()

# Get Y1 and Y2 as the 2 outputs and format them as np arrays
train_stats.pop('Y1')
train_stats.pop('Y2')
train_stats = train_stats.transpose()
train_Y = format_output(train)
test_Y = format_output(test)

# Normalize the training and test data
norm_train_X = norm(train)
norm_test_X = norm(test)

Build the Model

Here is how we’ll build the model using the functional syntax. Notice that we can specify a list of outputs (i.e. [y1_output, y2_output]) when we instantiate the Model() class.

# Define model layers.
input_layer = Input(shape=(len(train .columns),))
first_dense = Dense(units='128', activation='relu')(input_layer)
second_dense = Dense(units='128', activation='relu')(first_dense)

# Y1 output will be fed directly from the second dense
y1_output = Dense(units='1', name='y1_output')(second_dense)
third_dense = Dense(units='64', activation='relu')(second_dense)

# Y2 output will come via the third dense
y2_output = Dense(units='1', name='y2_output')(third_dense)

# Define the model with the input layer and a list of output layers
model = Model(inputs=input_layer, outputs=[y1_output, y2_output])

print(model.summary())

Model: "model"
__________________________________________________________________________________________________
Layer (type)                    Output Shape         Param #     Connected to                     
==================================================================================================
input_1 (InputLayer)            [(None, 8)]          0                                            
__________________________________________________________________________________________________
dense (Dense)                   (None, 128)          1152        input_1[0][0]                    
__________________________________________________________________________________________________
dense_1 (Dense)                 (None, 128)          16512       dense[0][0]                      
__________________________________________________________________________________________________
dense_2 (Dense)                 (None, 64)           8256        dense_1[0][0]                    
__________________________________________________________________________________________________
y1_output (Dense)               (None, 1)            129         dense_1[0][0]                    
__________________________________________________________________________________________________
y2_output (Dense)               (None, 1)            65          dense_2[0][0]                    
==================================================================================================
Total params: 26,114
Trainable params: 26,114
Non-trainable params: 0
__________________________________________________________________________________________________
None

Configure parameters

We specify the optimizer as well as the loss and metrics for each output.

# Specify the optimizer, and compile the model with loss functions for both outputs
optimizer = tf.keras.optimizers.SGD(lr=0.001)
model.compile(optimizer=optimizer,
              loss={'y1_output': 'mse', 'y2_output': 'mse'},
              metrics={'y1_output': tf.keras.metrics.RootMeanSquaredError(),
                       'y2_output': tf.keras.metrics.RootMeanSquaredError()})

Train the Model

# Train the model for 500 epochs
history = model.fit(norm_train_X, train_Y,
                    epochs=500, batch_size=10, validation_data=(norm_test_X, test_Y))

Train on 614 samples, validate on 154 samples
Epoch 1/500
614/614 [==============================] - 1s 932us/sample - loss: 249.0674 - y1_output_loss: 121.4387 - y2_output_loss: 125.5894 - y1_output_root_mean_squared_error: 11.0662 - y2_output_root_mean_squared_error: 11.2519 - val_loss: 58.6450 - val_y1_output_loss: 22.5854 - val_y2_output_loss: 38.4688 - val_y1_output_root_mean_squared_error: 4.5813 - val_y2_output_root_mean_squared_error: 6.1365
Epoch 2/500
614/614 [==============================] - 0s 148us/sample - loss: 35.2476 - y1_output_loss: 13.2263 - y2_output_loss: 22.2597 - y1_output_root_mean_squared_error: 3.6043 - y2_output_root_mean_squared_error: 4.7177 - val_loss: 22.4951 - val_y1_output_loss: 10.4743 - val_y2_output_loss: 12.8648 - val_y1_output_root_mean_squared_error: 3.1151 - val_y2_output_root_mean_squared_error: 3.5765
Epoch 3/500
614/614 [==============================] - 0s 150us/sample - loss: 26.5042 - y1_output_loss: 10.1707 - y2_output_loss: 16.5314 - y1_output_root_mean_squared_error: 3.1813 - y2_output_root_mean_squared_error: 4.0477 - val_loss: 56.8692 - val_y1_output_loss: 13.8249 - val_y2_output_loss: 43.6564 - val_y1_output_root_mean_squared_error: 3.6335 - val_y2_output_root_mean_squared_error: 6.6081
Epoch 4/500
614/614 [==============================] - 0s 151us/sample - loss: 25.5136 - y1_output_loss: 9.6072 - y2_output_loss: 16.2932 - y1_output_root_mean_squared_error: 3.0757 - y2_output_root_mean_squared_error: 4.0067 - val_loss: 77.8873 - val_y1_output_loss: 16.6083 - val_y2_output_loss: 63.1935 - val_y1_output_root_mean_squared_error: 3.9717 - val_y2_output_root_mean_squared_error: 7.8812
Epoch 5/500
614/614 [==============================] - 0s 142us/sample - loss: 25.0877 - y1_output_loss: 9.6399 - y2_output_loss: 15.4225 - y1_output_root_mean_squared_error: 3.0947 - y2_output_root_mean_squared_error: 3.9384 - val_loss: 20.1708 - val_y1_output_loss: 9.3749 - val_y2_output_loss: 11.3492 - val_y1_output_root_mean_squared_error: 2.9579 - val_y2_output_root_mean_squared_error: 3.3796
Epoch 6/500
614/614 [==============================] - 0s 140us/sample - loss: 22.7044 - y1_output_loss: 8.8926 - y2_output_loss: 13.7031 - y1_output_root_mean_squared_error: 2.9905 - y2_output_root_mean_squared_error: 3.7096 - val_loss: 26.4789 - val_y1_output_loss: 9.5828 - val_y2_output_loss: 18.0062 - val_y1_output_root_mean_squared_error: 2.9876 - val_y2_output_root_mean_squared_error: 4.1897
Epoch 7/500
614/614 [==============================] - 0s 142us/sample - loss: 23.3372 - y1_output_loss: 8.8923 - y2_output_loss: 14.4149 - y1_output_root_mean_squared_error: 2.9824 - y2_output_root_mean_squared_error: 3.8003 - val_loss: 24.4612 - val_y1_output_loss: 10.6200 - val_y2_output_loss: 15.2378 - val_y1_output_root_mean_squared_error: 3.1348 - val_y2_output_root_mean_squared_error: 3.8255
Epoch 8/500
614/614 [==============================] - 0s 139us/sample - loss: 23.1086 - y1_output_loss: 9.0486 - y2_output_loss: 13.9743 - y1_output_root_mean_squared_error: 3.0016 - y2_output_root_mean_squared_error: 3.7548 - val_loss: 20.0789 - val_y1_output_loss: 8.8304 - val_y2_output_loss: 12.7119 - val_y1_output_root_mean_squared_error: 2.8411 - val_y2_output_root_mean_squared_error: 3.4651
Epoch 9/500
614/614 [==============================] - 0s 139us/sample - loss: 23.6129 - y1_output_loss: 8.7715 - y2_output_loss: 14.6471 - y1_output_root_mean_squared_error: 2.9734 - y2_output_root_mean_squared_error: 3.8434 - val_loss: 20.0384 - val_y1_output_loss: 8.1401 - val_y2_output_loss: 12.4711 - val_y1_output_root_mean_squared_error: 2.7288 - val_y2_output_root_mean_squared_error: 3.5485
Epoch 10/500
614/614 [==============================] - 0s 142us/sample - loss: 17.4194 - y1_output_loss: 7.3755 - y2_output_loss: 9.9273 - y1_output_root_mean_squared_error: 2.7267 - y2_output_root_mean_squared_error: 3.1599 - val_loss: 18.5454 - val_y1_output_loss: 7.8417 - val_y2_output_loss: 12.1924 - val_y1_output_root_mean_squared_error: 2.6524 - val_y2_output_root_mean_squared_error: 3.3927
Epoch 11/500
614/614 [==============================] - 0s 142us/sample - loss: 21.3884 - y1_output_loss: 8.0946 - y2_output_loss: 13.6325 - y1_output_root_mean_squared_error: 2.8179 - y2_output_root_mean_squared_error: 3.6671 - val_loss: 20.1061 - val_y1_output_loss: 9.6309 - val_y2_output_loss: 11.1037 - val_y1_output_root_mean_squared_error: 2.9845 - val_y2_output_root_mean_squared_error: 3.3465
Epoch 12/500
614/614 [==============================] - 0s 145us/sample - loss: 19.1075 - y1_output_loss: 7.1583 - y2_output_loss: 12.0536 - y1_output_root_mean_squared_error: 2.6641 - y2_output_root_mean_squared_error: 3.4656 - val_loss: 26.9790 - val_y1_output_loss: 9.5706 - val_y2_output_loss: 17.5468 - val_y1_output_root_mean_squared_error: 3.0075 - val_y2_output_root_mean_squared_error: 4.2348
Epoch 13/500
614/614 [==============================] - 0s 143us/sample - loss: 17.5166 - y1_output_loss: 7.1042 - y2_output_loss: 10.4402 - y1_output_root_mean_squared_error: 2.6632 - y2_output_root_mean_squared_error: 3.2286 - val_loss: 23.5446 - val_y1_output_loss: 8.2785 - val_y2_output_loss: 15.5535 - val_y1_output_root_mean_squared_error: 2.7736 - val_y2_output_root_mean_squared_error: 3.9814
Epoch 14/500
614/614 [==============================] - 0s 138us/sample - loss: 16.3947 - y1_output_loss: 6.3257 - y2_output_loss: 9.9666 - y1_output_root_mean_squared_error: 2.5257 - y2_output_root_mean_squared_error: 3.1647 - val_loss: 13.0427 - val_y1_output_loss: 6.3332 - val_y2_output_loss: 7.6775 - val_y1_output_root_mean_squared_error: 2.3761 - val_y2_output_root_mean_squared_error: 2.7197
Epoch 15/500
614/614 [==============================] - 0s 141us/sample - loss: 19.2468 - y1_output_loss: 6.9386 - y2_output_loss: 12.1725 - y1_output_root_mean_squared_error: 2.6438 - y2_output_root_mean_squared_error: 3.5010 - val_loss: 18.4975 - val_y1_output_loss: 6.4191 - val_y2_output_loss: 13.3820 - val_y1_output_root_mean_squared_error: 2.4146 - val_y2_output_root_mean_squared_error: 3.5591
Epoch 16/500
614/614 [==============================] - 0s 150us/sample - loss: 16.2744 - y1_output_loss: 6.4076 - y2_output_loss: 9.7523 - y1_output_root_mean_squared_error: 2.5386 - y2_output_root_mean_squared_error: 3.1353 - val_loss: 13.4739 - val_y1_output_loss: 6.4503 - val_y2_output_loss: 7.7462 - val_y1_output_root_mean_squared_error: 2.4033 - val_y2_output_root_mean_squared_error: 2.7745
Epoch 17/500
614/614 [==============================] - 0s 136us/sample - loss: 17.7815 - y1_output_loss: 6.6609 - y2_output_loss: 11.0984 - y1_output_root_mean_squared_error: 2.5787 - y2_output_root_mean_squared_error: 3.3364 - val_loss: 19.5546 - val_y1_output_loss: 7.8435 - val_y2_output_loss: 12.0358 - val_y1_output_root_mean_squared_error: 2.6982 - val_y2_output_root_mean_squared_error: 3.5035
Epoch 18/500
614/614 [==============================] - 0s 139us/sample - loss: 15.8961 - y1_output_loss: 6.0473 - y2_output_loss: 9.8865 - y1_output_root_mean_squared_error: 2.4617 - y2_output_root_mean_squared_error: 3.1363 - val_loss: 22.8929 - val_y1_output_loss: 7.0928 - val_y2_output_loss: 17.4266 - val_y1_output_root_mean_squared_error: 2.5396 - val_y2_output_root_mean_squared_error: 4.0550
Epoch 19/500
614/614 [==============================] - 0s 138us/sample - loss: 16.2080 - y1_output_loss: 6.3682 - y2_output_loss: 10.0488 - y1_output_root_mean_squared_error: 2.5089 - y2_output_root_mean_squared_error: 3.1485 - val_loss: 34.4411 - val_y1_output_loss: 11.5595 - val_y2_output_loss: 22.5497 - val_y1_output_root_mean_squared_error: 3.3560 - val_y2_output_root_mean_squared_error: 4.8144
Epoch 20/500
614/614 [==============================] - 0s 139us/sample - loss: 14.5577 - y1_output_loss: 5.4666 - y2_output_loss: 9.0046 - y1_output_root_mean_squared_error: 2.3431 - y2_output_root_mean_squared_error: 3.0112 - val_loss: 14.5933 - val_y1_output_loss: 5.9018 - val_y2_output_loss: 9.0874 - val_y1_output_root_mean_squared_error: 2.3179 - val_y2_output_root_mean_squared_error: 3.0365
Epoch 21/500
614/614 [==============================] - 0s 139us/sample - loss: 13.2876 - y1_output_loss: 5.2109 - y2_output_loss: 8.0801 - y1_output_root_mean_squared_error: 2.2850 - y2_output_root_mean_squared_error: 2.8401 - val_loss: 22.9511 - val_y1_output_loss: 6.5289 - val_y2_output_loss: 17.9934 - val_y1_output_root_mean_squared_error: 2.4299 - val_y2_output_root_mean_squared_error: 4.1287
Epoch 22/500
614/614 [==============================] - 0s 140us/sample - loss: 12.8196 - y1_output_loss: 5.3045 - y2_output_loss: 7.7295 - y1_output_root_mean_squared_error: 2.2897 - y2_output_root_mean_squared_error: 2.7526 - val_loss: 30.9603 - val_y1_output_loss: 9.0931 - val_y2_output_loss: 21.5144 - val_y1_output_root_mean_squared_error: 2.9726 - val_y2_output_root_mean_squared_error: 4.7036
Epoch 23/500
614/614 [==============================] - 0s 136us/sample - loss: 17.0867 - y1_output_loss: 5.6944 - y2_output_loss: 11.2438 - y1_output_root_mean_squared_error: 2.3952 - y2_output_root_mean_squared_error: 3.3689 - val_loss: 8.9286 - val_y1_output_loss: 4.1611 - val_y2_output_loss: 5.4291 - val_y1_output_root_mean_squared_error: 1.9129 - val_y2_output_root_mean_squared_error: 2.2955
Epoch 24/500
614/614 [==============================] - 0s 145us/sample - loss: 13.9243 - y1_output_loss: 4.7965 - y2_output_loss: 9.0332 - y1_output_root_mean_squared_error: 2.1985 - y2_output_root_mean_squared_error: 3.0151 - val_loss: 9.4686 - val_y1_output_loss: 4.2729 - val_y2_output_loss: 5.8101 - val_y1_output_root_mean_squared_error: 1.9555 - val_y2_output_root_mean_squared_error: 2.3759
Epoch 25/500
614/614 [==============================] - 0s 145us/sample - loss: 12.4763 - y1_output_loss: 4.7562 - y2_output_loss: 7.8261 - y1_output_root_mean_squared_error: 2.1816 - y2_output_root_mean_squared_error: 2.7779 - val_loss: 10.1077 - val_y1_output_loss: 4.2084 - val_y2_output_loss: 6.7734 - val_y1_output_root_mean_squared_error: 1.9357 - val_y2_output_root_mean_squared_error: 2.5221
Epoch 26/500
614/614 [==============================] - 0s 142us/sample - loss: 11.3976 - y1_output_loss: 4.3545 - y2_output_loss: 7.0793 - y1_output_root_mean_squared_error: 2.0788 - y2_output_root_mean_squared_error: 2.6601 - val_loss: 9.0687 - val_y1_output_loss: 3.8426 - val_y2_output_loss: 6.0422 - val_y1_output_root_mean_squared_error: 1.8783 - val_y2_output_root_mean_squared_error: 2.3539
Epoch 27/500
614/614 [==============================] - 0s 154us/sample - loss: 10.9908 - y1_output_loss: 4.1516 - y2_output_loss: 6.7506 - y1_output_root_mean_squared_error: 2.0463 - y2_output_root_mean_squared_error: 2.6083 - val_loss: 9.7702 - val_y1_output_loss: 4.0451 - val_y2_output_loss: 5.9610 - val_y1_output_root_mean_squared_error: 1.9346 - val_y2_output_root_mean_squared_error: 2.4551
Epoch 28/500
614/614 [==============================] - 0s 147us/sample - loss: 11.2233 - y1_output_loss: 4.1948 - y2_output_loss: 6.9600 - y1_output_root_mean_squared_error: 2.0556 - y2_output_root_mean_squared_error: 2.6453 - val_loss: 9.3341 - val_y1_output_loss: 3.4982 - val_y2_output_loss: 6.7920 - val_y1_output_root_mean_squared_error: 1.7603 - val_y2_output_root_mean_squared_error: 2.4971
Epoch 29/500
614/614 [==============================] - 0s 139us/sample - loss: 9.9447 - y1_output_loss: 3.6648 - y2_output_loss: 6.1892 - y1_output_root_mean_squared_error: 1.9235 - y2_output_root_mean_squared_error: 2.4990 - val_loss: 9.0712 - val_y1_output_loss: 3.6734 - val_y2_output_loss: 5.8004 - val_y1_output_root_mean_squared_error: 1.8199 - val_y2_output_root_mean_squared_error: 2.3998
Epoch 30/500
614/614 [==============================] - 0s 155us/sample - loss: 9.6637 - y1_output_loss: 3.5332 - y2_output_loss: 6.1194 - y1_output_root_mean_squared_error: 1.8861 - y2_output_root_mean_squared_error: 2.4711 - val_loss: 18.8195 - val_y1_output_loss: 4.6359 - val_y2_output_loss: 15.8515 - val_y1_output_root_mean_squared_error: 2.0550 - val_y2_output_root_mean_squared_error: 3.8206
Epoch 31/500
614/614 [==============================] - 0s 138us/sample - loss: 9.7786 - y1_output_loss: 3.4587 - y2_output_loss: 6.2787 - y1_output_root_mean_squared_error: 1.8676 - y2_output_root_mean_squared_error: 2.5081 - val_loss: 14.8696 - val_y1_output_loss: 5.3359 - val_y2_output_loss: 9.5008 - val_y1_output_root_mean_squared_error: 2.2584 - val_y2_output_root_mean_squared_error: 3.1256
Epoch 32/500
614/614 [==============================] - 0s 143us/sample - loss: 9.8912 - y1_output_loss: 3.4237 - y2_output_loss: 6.5622 - y1_output_root_mean_squared_error: 1.8400 - y2_output_root_mean_squared_error: 2.5506 - val_loss: 7.9256 - val_y1_output_loss: 2.7650 - val_y2_output_loss: 5.7560 - val_y1_output_root_mean_squared_error: 1.5915 - val_y2_output_root_mean_squared_error: 2.3222
Epoch 33/500
614/614 [==============================] - 0s 140us/sample - loss: 11.1485 - y1_output_loss: 3.9302 - y2_output_loss: 7.1836 - y1_output_root_mean_squared_error: 1.9815 - y2_output_root_mean_squared_error: 2.6874 - val_loss: 11.8064 - val_y1_output_loss: 3.4702 - val_y2_output_loss: 8.2195 - val_y1_output_root_mean_squared_error: 1.8146 - val_y2_output_root_mean_squared_error: 2.9178
Epoch 34/500
614/614 [==============================] - 0s 140us/sample - loss: 10.3389 - y1_output_loss: 3.3646 - y2_output_loss: 6.9499 - y1_output_root_mean_squared_error: 1.8393 - y2_output_root_mean_squared_error: 2.6374 - val_loss: 12.2466 - val_y1_output_loss: 2.7767 - val_y2_output_loss: 10.6134 - val_y1_output_root_mean_squared_error: 1.5758 - val_y2_output_root_mean_squared_error: 3.1247
Epoch 35/500
614/614 [==============================] - 0s 140us/sample - loss: 9.3539 - y1_output_loss: 3.0365 - y2_output_loss: 6.3876 - y1_output_root_mean_squared_error: 1.7474 - y2_output_root_mean_squared_error: 2.5100 - val_loss: 12.4195 - val_y1_output_loss: 3.6511 - val_y2_output_loss: 9.3583 - val_y1_output_root_mean_squared_error: 1.8480 - val_y2_output_root_mean_squared_error: 3.0007
Epoch 36/500
614/614 [==============================] - 0s 144us/sample - loss: 8.0973 - y1_output_loss: 2.7878 - y2_output_loss: 5.2538 - y1_output_root_mean_squared_error: 1.6768 - y2_output_root_mean_squared_error: 2.2991 - val_loss: 7.3378 - val_y1_output_loss: 2.9686 - val_y2_output_loss: 4.8061 - val_y1_output_root_mean_squared_error: 1.6690 - val_y2_output_root_mean_squared_error: 2.1336
Epoch 37/500
614/614 [==============================] - 0s 156us/sample - loss: 11.2832 - y1_output_loss: 3.7697 - y2_output_loss: 7.5122 - y1_output_root_mean_squared_error: 1.9390 - y2_output_root_mean_squared_error: 2.7429 - val_loss: 7.8574 - val_y1_output_loss: 2.8241 - val_y2_output_loss: 5.0879 - val_y1_output_root_mean_squared_error: 1.6360 - val_y2_output_root_mean_squared_error: 2.2761
Epoch 38/500
614/614 [==============================] - 0s 143us/sample - loss: 7.1085 - y1_output_loss: 2.4128 - y2_output_loss: 4.6850 - y1_output_root_mean_squared_error: 1.5599 - y2_output_root_mean_squared_error: 2.1623 - val_loss: 13.1024 - val_y1_output_loss: 3.6026 - val_y2_output_loss: 10.3508 - val_y1_output_root_mean_squared_error: 1.8377 - val_y2_output_root_mean_squared_error: 3.1185
Epoch 39/500
614/614 [==============================] - 0s 149us/sample - loss: 8.1101 - y1_output_loss: 2.6784 - y2_output_loss: 5.4834 - y1_output_root_mean_squared_error: 1.6132 - y2_output_root_mean_squared_error: 2.3469 - val_loss: 9.9536 - val_y1_output_loss: 4.2109 - val_y2_output_loss: 5.7333 - val_y1_output_root_mean_squared_error: 2.0189 - val_y2_output_root_mean_squared_error: 2.4244
Epoch 40/500
614/614 [==============================] - 0s 142us/sample - loss: 6.9836 - y1_output_loss: 2.3591 - y2_output_loss: 4.5697 - y1_output_root_mean_squared_error: 1.5406 - y2_output_root_mean_squared_error: 2.1471 - val_loss: 5.3166 - val_y1_output_loss: 1.7513 - val_y2_output_loss: 3.9032 - val_y1_output_root_mean_squared_error: 1.2588 - val_y2_output_root_mean_squared_error: 1.9318
Epoch 41/500
614/614 [==============================] - 0s 148us/sample - loss: 7.4325 - y1_output_loss: 2.3740 - y2_output_loss: 5.0404 - y1_output_root_mean_squared_error: 1.5466 - y2_output_root_mean_squared_error: 2.2451 - val_loss: 6.5797 - val_y1_output_loss: 1.9131 - val_y2_output_loss: 4.7438 - val_y1_output_root_mean_squared_error: 1.3241 - val_y2_output_root_mean_squared_error: 2.1969
Epoch 42/500
614/614 [==============================] - 0s 143us/sample - loss: 6.5840 - y1_output_loss: 2.2937 - y2_output_loss: 4.4996 - y1_output_root_mean_squared_error: 1.4830 - y2_output_root_mean_squared_error: 2.0940 - val_loss: 17.9808 - val_y1_output_loss: 6.0455 - val_y2_output_loss: 11.5206 - val_y1_output_root_mean_squared_error: 2.4563 - val_y2_output_root_mean_squared_error: 3.4565
Epoch 43/500
614/614 [==============================] - 0s 144us/sample - loss: 7.4028 - y1_output_loss: 2.5543 - y2_output_loss: 4.7810 - y1_output_root_mean_squared_error: 1.6053 - y2_output_root_mean_squared_error: 2.1967 - val_loss: 5.1283 - val_y1_output_loss: 1.6236 - val_y2_output_loss: 3.7073 - val_y1_output_root_mean_squared_error: 1.2288 - val_y2_output_root_mean_squared_error: 1.9022
Epoch 44/500
614/614 [==============================] - 0s 143us/sample - loss: 7.0758 - y1_output_loss: 2.1013 - y2_output_loss: 4.9275 - y1_output_root_mean_squared_error: 1.4553 - y2_output_root_mean_squared_error: 2.2266 - val_loss: 4.8787 - val_y1_output_loss: 1.5210 - val_y2_output_loss: 3.8201 - val_y1_output_root_mean_squared_error: 1.1847 - val_y2_output_root_mean_squared_error: 1.8642
Epoch 45/500
614/614 [==============================] - 0s 157us/sample - loss: 7.7561 - y1_output_loss: 2.4686 - y2_output_loss: 5.3145 - y1_output_root_mean_squared_error: 1.5740 - y2_output_root_mean_squared_error: 2.2975 - val_loss: 5.7584 - val_y1_output_loss: 1.7594 - val_y2_output_loss: 4.4101 - val_y1_output_root_mean_squared_error: 1.2920 - val_y2_output_root_mean_squared_error: 2.0222
Epoch 46/500
614/614 [==============================] - 0s 141us/sample - loss: 8.1993 - y1_output_loss: 2.5549 - y2_output_loss: 5.6677 - y1_output_root_mean_squared_error: 1.5969 - y2_output_root_mean_squared_error: 2.3768 - val_loss: 15.8970 - val_y1_output_loss: 5.2896 - val_y2_output_loss: 10.2135 - val_y1_output_root_mean_squared_error: 2.3083 - val_y2_output_root_mean_squared_error: 3.2510
Epoch 47/500
614/614 [==============================] - 0s 143us/sample - loss: 6.3829 - y1_output_loss: 1.9640 - y2_output_loss: 4.3873 - y1_output_root_mean_squared_error: 1.4000 - y2_output_root_mean_squared_error: 2.1030 - val_loss: 5.3870 - val_y1_output_loss: 1.6825 - val_y2_output_loss: 4.0901 - val_y1_output_root_mean_squared_error: 1.2432 - val_y2_output_root_mean_squared_error: 1.9600
Epoch 48/500
614/614 [==============================] - 0s 142us/sample - loss: 5.7255 - y1_output_loss: 1.8184 - y2_output_loss: 3.8711 - y1_output_root_mean_squared_error: 1.3488 - y2_output_root_mean_squared_error: 1.9764 - val_loss: 5.1919 - val_y1_output_loss: 1.6808 - val_y2_output_loss: 3.7611 - val_y1_output_root_mean_squared_error: 1.2551 - val_y2_output_root_mean_squared_error: 1.9017
Epoch 49/500
614/614 [==============================] - 0s 141us/sample - loss: 6.0895 - y1_output_loss: 1.8075 - y2_output_loss: 4.2322 - y1_output_root_mean_squared_error: 1.3486 - y2_output_root_mean_squared_error: 2.0666 - val_loss: 5.2199 - val_y1_output_loss: 1.6802 - val_y2_output_loss: 3.6991 - val_y1_output_root_mean_squared_error: 1.2620 - val_y2_output_root_mean_squared_error: 1.9045
Epoch 50/500
614/614 [==============================] - 0s 137us/sample - loss: 5.4601 - y1_output_loss: 1.6738 - y2_output_loss: 3.7757 - y1_output_root_mean_squared_error: 1.2900 - y2_output_root_mean_squared_error: 1.9483 - val_loss: 5.7046 - val_y1_output_loss: 1.5174 - val_y2_output_loss: 4.2578 - val_y1_output_root_mean_squared_error: 1.2061 - val_y2_output_root_mean_squared_error: 2.0616
Epoch 51/500
614/614 [==============================] - 0s 140us/sample - loss: 6.9053 - y1_output_loss: 1.8971 - y2_output_loss: 4.9536 - y1_output_root_mean_squared_error: 1.3816 - y2_output_root_mean_squared_error: 2.2353 - val_loss: 4.8361 - val_y1_output_loss: 1.2341 - val_y2_output_loss: 4.1001 - val_y1_output_root_mean_squared_error: 1.0568 - val_y2_output_root_mean_squared_error: 1.9285
Epoch 52/500
614/614 [==============================] - 0s 141us/sample - loss: 5.4296 - y1_output_loss: 1.5235 - y2_output_loss: 3.9098 - y1_output_root_mean_squared_error: 1.2371 - y2_output_root_mean_squared_error: 1.9746 - val_loss: 5.4747 - val_y1_output_loss: 1.7915 - val_y2_output_loss: 3.7881 - val_y1_output_root_mean_squared_error: 1.3297 - val_y2_output_root_mean_squared_error: 1.9252
Epoch 53/500
614/614 [==============================] - 0s 144us/sample - loss: 7.6503 - y1_output_loss: 2.1524 - y2_output_loss: 5.4790 - y1_output_root_mean_squared_error: 1.4710 - y2_output_root_mean_squared_error: 2.3423 - val_loss: 4.9383 - val_y1_output_loss: 1.4806 - val_y2_output_loss: 3.7318 - val_y1_output_root_mean_squared_error: 1.1718 - val_y2_output_root_mean_squared_error: 1.8882
Epoch 54/500
614/614 [==============================] - 0s 143us/sample - loss: 5.1226 - y1_output_loss: 1.4507 - y2_output_loss: 3.6408 - y1_output_root_mean_squared_error: 1.2082 - y2_output_root_mean_squared_error: 1.9139 - val_loss: 4.8903 - val_y1_output_loss: 1.5065 - val_y2_output_loss: 3.4942 - val_y1_output_root_mean_squared_error: 1.2099 - val_y2_output_root_mean_squared_error: 1.8511
Epoch 55/500
614/614 [==============================] - 0s 138us/sample - loss: 6.0811 - y1_output_loss: 1.7746 - y2_output_loss: 4.3040 - y1_output_root_mean_squared_error: 1.3356 - y2_output_root_mean_squared_error: 2.0730 - val_loss: 4.6602 - val_y1_output_loss: 1.2677 - val_y2_output_loss: 3.7955 - val_y1_output_root_mean_squared_error: 1.0936 - val_y2_output_root_mean_squared_error: 1.8612
Epoch 56/500
614/614 [==============================] - 0s 142us/sample - loss: 4.0785 - y1_output_loss: 1.3068 - y2_output_loss: 2.7660 - y1_output_root_mean_squared_error: 1.1409 - y2_output_root_mean_squared_error: 1.6664 - val_loss: 5.4243 - val_y1_output_loss: 1.1163 - val_y2_output_loss: 4.2756 - val_y1_output_root_mean_squared_error: 1.0356 - val_y2_output_root_mean_squared_error: 2.0861
Epoch 57/500
614/614 [==============================] - 0s 144us/sample - loss: 4.7559 - y1_output_loss: 1.3184 - y2_output_loss: 3.4041 - y1_output_root_mean_squared_error: 1.1513 - y2_output_root_mean_squared_error: 1.8522 - val_loss: 4.6123 - val_y1_output_loss: 1.4097 - val_y2_output_loss: 3.2823 - val_y1_output_root_mean_squared_error: 1.1650 - val_y2_output_root_mean_squared_error: 1.8042
Epoch 58/500
614/614 [==============================] - 0s 146us/sample - loss: 4.8555 - y1_output_loss: 1.3825 - y2_output_loss: 3.4386 - y1_output_root_mean_squared_error: 1.1804 - y2_output_root_mean_squared_error: 1.8607 - val_loss: 4.8756 - val_y1_output_loss: 1.3687 - val_y2_output_loss: 3.6749 - val_y1_output_root_mean_squared_error: 1.1569 - val_y2_output_root_mean_squared_error: 1.8808
Epoch 59/500
614/614 [==============================] - 0s 140us/sample - loss: 7.4049 - y1_output_loss: 2.1207 - y2_output_loss: 5.2452 - y1_output_root_mean_squared_error: 1.4559 - y2_output_root_mean_squared_error: 2.2990 - val_loss: 4.2079 - val_y1_output_loss: 0.9488 - val_y2_output_loss: 3.3112 - val_y1_output_root_mean_squared_error: 0.9364 - val_y2_output_root_mean_squared_error: 1.8251
Epoch 60/500
614/614 [==============================] - 0s 144us/sample - loss: 3.8135 - y1_output_loss: 1.1232 - y2_output_loss: 2.6651 - y1_output_root_mean_squared_error: 1.0618 - y2_output_root_mean_squared_error: 1.6389 - val_loss: 4.5546 - val_y1_output_loss: 1.1042 - val_y2_output_loss: 3.4930 - val_y1_output_root_mean_squared_error: 1.0333 - val_y2_output_root_mean_squared_error: 1.8673
Epoch 61/500
614/614 [==============================] - 0s 143us/sample - loss: 4.4703 - y1_output_loss: 1.3089 - y2_output_loss: 3.1543 - y1_output_root_mean_squared_error: 1.1377 - y2_output_root_mean_squared_error: 1.7821 - val_loss: 10.3748 - val_y1_output_loss: 4.1931 - val_y2_output_loss: 5.9996 - val_y1_output_root_mean_squared_error: 2.0432 - val_y2_output_root_mean_squared_error: 2.4900
Epoch 62/500
614/614 [==============================] - 0s 140us/sample - loss: 5.5654 - y1_output_loss: 1.5990 - y2_output_loss: 4.1091 - y1_output_root_mean_squared_error: 1.2533 - y2_output_root_mean_squared_error: 1.9987 - val_loss: 16.6178 - val_y1_output_loss: 3.9615 - val_y2_output_loss: 12.2369 - val_y1_output_root_mean_squared_error: 1.9956 - val_y2_output_root_mean_squared_error: 3.5546
Epoch 63/500
614/614 [==============================] - 0s 143us/sample - loss: 6.0067 - y1_output_loss: 1.6045 - y2_output_loss: 4.3512 - y1_output_root_mean_squared_error: 1.2714 - y2_output_root_mean_squared_error: 2.0953 - val_loss: 5.5828 - val_y1_output_loss: 1.2722 - val_y2_output_loss: 4.5545 - val_y1_output_root_mean_squared_error: 1.1121 - val_y2_output_root_mean_squared_error: 2.0847
Epoch 64/500
614/614 [==============================] - 0s 141us/sample - loss: 4.8610 - y1_output_loss: 1.3983 - y2_output_loss: 3.4853 - y1_output_root_mean_squared_error: 1.1797 - y2_output_root_mean_squared_error: 1.8626 - val_loss: 17.1483 - val_y1_output_loss: 4.1189 - val_y2_output_loss: 12.6460 - val_y1_output_root_mean_squared_error: 2.0216 - val_y2_output_root_mean_squared_error: 3.6141
Epoch 65/500
614/614 [==============================] - 0s 141us/sample - loss: 5.7126 - y1_output_loss: 1.7630 - y2_output_loss: 3.9899 - y1_output_root_mean_squared_error: 1.3225 - y2_output_root_mean_squared_error: 1.9909 - val_loss: 16.4242 - val_y1_output_loss: 4.7022 - val_y2_output_loss: 12.1495 - val_y1_output_root_mean_squared_error: 2.1650 - val_y2_output_root_mean_squared_error: 3.4259
Epoch 66/500
614/614 [==============================] - 0s 134us/sample - loss: 5.0342 - y1_output_loss: 1.3995 - y2_output_loss: 3.6938 - y1_output_root_mean_squared_error: 1.1824 - y2_output_root_mean_squared_error: 1.9068 - val_loss: 12.9122 - val_y1_output_loss: 1.1775 - val_y2_output_loss: 12.3721 - val_y1_output_root_mean_squared_error: 1.0562 - val_y2_output_root_mean_squared_error: 3.4346
Epoch 67/500
614/614 [==============================] - 0s 156us/sample - loss: 4.6882 - y1_output_loss: 1.0624 - y2_output_loss: 3.5898 - y1_output_root_mean_squared_error: 1.0338 - y2_output_root_mean_squared_error: 1.9025 - val_loss: 4.4317 - val_y1_output_loss: 1.3233 - val_y2_output_loss: 3.1879 - val_y1_output_root_mean_squared_error: 1.1482 - val_y2_output_root_mean_squared_error: 1.7645
Epoch 68/500
614/614 [==============================] - 0s 140us/sample - loss: 4.8153 - y1_output_loss: 1.2609 - y2_output_loss: 3.5693 - y1_output_root_mean_squared_error: 1.1228 - y2_output_root_mean_squared_error: 1.8854 - val_loss: 3.2672 - val_y1_output_loss: 0.7476 - val_y2_output_loss: 2.7234 - val_y1_output_root_mean_squared_error: 0.8297 - val_y2_output_root_mean_squared_error: 1.6059
Epoch 69/500
614/614 [==============================] - 0s 139us/sample - loss: 3.8404 - y1_output_loss: 0.9689 - y2_output_loss: 2.8525 - y1_output_root_mean_squared_error: 0.9851 - y2_output_root_mean_squared_error: 1.6941 - val_loss: 3.9977 - val_y1_output_loss: 0.7891 - val_y2_output_loss: 3.1759 - val_y1_output_root_mean_squared_error: 0.8749 - val_y2_output_root_mean_squared_error: 1.7978
Epoch 70/500
614/614 [==============================] - 0s 165us/sample - loss: 6.8771 - y1_output_loss: 2.0422 - y2_output_loss: 4.7933 - y1_output_root_mean_squared_error: 1.4350 - y2_output_root_mean_squared_error: 2.1949 - val_loss: 3.2677 - val_y1_output_loss: 0.8311 - val_y2_output_loss: 2.5656 - val_y1_output_root_mean_squared_error: 0.8965 - val_y2_output_root_mean_squared_error: 1.5697
Epoch 71/500
614/614 [==============================] - 0s 142us/sample - loss: 2.8728 - y1_output_loss: 0.7845 - y2_output_loss: 2.0676 - y1_output_root_mean_squared_error: 0.8891 - y2_output_root_mean_squared_error: 1.4430 - val_loss: 6.3667 - val_y1_output_loss: 1.1612 - val_y2_output_loss: 5.0706 - val_y1_output_root_mean_squared_error: 1.0591 - val_y2_output_root_mean_squared_error: 2.2902
Epoch 72/500
614/614 [==============================] - 0s 136us/sample - loss: 3.6239 - y1_output_loss: 0.9928 - y2_output_loss: 2.6201 - y1_output_root_mean_squared_error: 0.9927 - y2_output_root_mean_squared_error: 1.6243 - val_loss: 3.8384 - val_y1_output_loss: 1.1982 - val_y2_output_loss: 2.6905 - val_y1_output_root_mean_squared_error: 1.0812 - val_y2_output_root_mean_squared_error: 1.6338
Epoch 73/500
614/614 [==============================] - 0s 153us/sample - loss: 3.3852 - y1_output_loss: 0.8601 - y2_output_loss: 2.5186 - y1_output_root_mean_squared_error: 0.9244 - y2_output_root_mean_squared_error: 1.5908 - val_loss: 8.2713 - val_y1_output_loss: 2.3058 - val_y2_output_loss: 6.3538 - val_y1_output_root_mean_squared_error: 1.5098 - val_y2_output_root_mean_squared_error: 2.4478
Epoch 74/500
614/614 [==============================] - 0s 141us/sample - loss: 3.2562 - y1_output_loss: 0.7803 - y2_output_loss: 2.4971 - y1_output_root_mean_squared_error: 0.8853 - y2_output_root_mean_squared_error: 1.5724 - val_loss: 7.8450 - val_y1_output_loss: 1.7900 - val_y2_output_loss: 6.4467 - val_y1_output_root_mean_squared_error: 1.3325 - val_y2_output_root_mean_squared_error: 2.4636
Epoch 75/500
614/614 [==============================] - 0s 135us/sample - loss: 3.2449 - y1_output_loss: 0.8454 - y2_output_loss: 2.3842 - y1_output_root_mean_squared_error: 0.9189 - y2_output_root_mean_squared_error: 1.5494 - val_loss: 3.0601 - val_y1_output_loss: 0.7462 - val_y2_output_loss: 2.3960 - val_y1_output_root_mean_squared_error: 0.8517 - val_y2_output_root_mean_squared_error: 1.5280
Epoch 76/500
614/614 [==============================] - 0s 139us/sample - loss: 3.1152 - y1_output_loss: 0.6882 - y2_output_loss: 2.4159 - y1_output_root_mean_squared_error: 0.8326 - y2_output_root_mean_squared_error: 1.5563 - val_loss: 9.9857 - val_y1_output_loss: 3.1105 - val_y2_output_loss: 7.3402 - val_y1_output_root_mean_squared_error: 1.7560 - val_y2_output_root_mean_squared_error: 2.6272
Epoch 77/500
614/614 [==============================] - 0s 134us/sample - loss: 4.5312 - y1_output_loss: 1.3357 - y2_output_loss: 3.2645 - y1_output_root_mean_squared_error: 1.1608 - y2_output_root_mean_squared_error: 1.7843 - val_loss: 7.3321 - val_y1_output_loss: 0.8970 - val_y2_output_loss: 6.2685 - val_y1_output_root_mean_squared_error: 0.9329 - val_y2_output_root_mean_squared_error: 2.5420
Epoch 78/500
614/614 [==============================] - 0s 139us/sample - loss: 3.5388 - y1_output_loss: 0.8265 - y2_output_loss: 2.7158 - y1_output_root_mean_squared_error: 0.9092 - y2_output_root_mean_squared_error: 1.6469 - val_loss: 4.6135 - val_y1_output_loss: 1.2375 - val_y2_output_loss: 3.6454 - val_y1_output_root_mean_squared_error: 1.0951 - val_y2_output_root_mean_squared_error: 1.8478
Epoch 79/500
614/614 [==============================] - 0s 135us/sample - loss: 3.1517 - y1_output_loss: 0.7943 - y2_output_loss: 2.4055 - y1_output_root_mean_squared_error: 0.8941 - y2_output_root_mean_squared_error: 1.5337 - val_loss: 11.5310 - val_y1_output_loss: 1.6209 - val_y2_output_loss: 10.4806 - val_y1_output_root_mean_squared_error: 1.2582 - val_y2_output_root_mean_squared_error: 3.1540
Epoch 80/500
614/614 [==============================] - 0s 134us/sample - loss: 4.7379 - y1_output_loss: 1.0333 - y2_output_loss: 3.6617 - y1_output_root_mean_squared_error: 1.0208 - y2_output_root_mean_squared_error: 1.9225 - val_loss: 4.0144 - val_y1_output_loss: 1.0904 - val_y2_output_loss: 3.0650 - val_y1_output_root_mean_squared_error: 1.0329 - val_y2_output_root_mean_squared_error: 1.7168
Epoch 81/500
614/614 [==============================] - 0s 133us/sample - loss: 2.3608 - y1_output_loss: 0.5959 - y2_output_loss: 1.7543 - y1_output_root_mean_squared_error: 0.7753 - y2_output_root_mean_squared_error: 1.3265 - val_loss: 2.6954 - val_y1_output_loss: 0.5682 - val_y2_output_loss: 2.1741 - val_y1_output_root_mean_squared_error: 0.7319 - val_y2_output_root_mean_squared_error: 1.4696
Epoch 82/500
614/614 [==============================] - 0s 139us/sample - loss: 3.5823 - y1_output_loss: 0.7758 - y2_output_loss: 2.9290 - y1_output_root_mean_squared_error: 0.8768 - y2_output_root_mean_squared_error: 1.6774 - val_loss: 65.3391 - val_y1_output_loss: 12.5488 - val_y2_output_loss: 52.9989 - val_y1_output_root_mean_squared_error: 3.5730 - val_y2_output_root_mean_squared_error: 7.2507
Epoch 83/500
614/614 [==============================] - 0s 136us/sample - loss: 5.8483 - y1_output_loss: 1.4485 - y2_output_loss: 4.3555 - y1_output_root_mean_squared_error: 1.2075 - y2_output_root_mean_squared_error: 2.0953 - val_loss: 2.9391 - val_y1_output_loss: 0.6354 - val_y2_output_loss: 2.4482 - val_y1_output_root_mean_squared_error: 0.7801 - val_y2_output_root_mean_squared_error: 1.5266
Epoch 84/500
614/614 [==============================] - 0s 136us/sample - loss: 3.3703 - y1_output_loss: 0.8176 - y2_output_loss: 2.5299 - y1_output_root_mean_squared_error: 0.9081 - y2_output_root_mean_squared_error: 1.5955 - val_loss: 2.5342 - val_y1_output_loss: 0.5689 - val_y2_output_loss: 2.0965 - val_y1_output_root_mean_squared_error: 0.7324 - val_y2_output_root_mean_squared_error: 1.4134
Epoch 85/500
614/614 [==============================] - 0s 135us/sample - loss: 2.8219 - y1_output_loss: 0.6819 - y2_output_loss: 2.1463 - y1_output_root_mean_squared_error: 0.8230 - y2_output_root_mean_squared_error: 1.4645 - val_loss: 3.0239 - val_y1_output_loss: 0.6044 - val_y2_output_loss: 2.5744 - val_y1_output_root_mean_squared_error: 0.7543 - val_y2_output_root_mean_squared_error: 1.5668
Epoch 86/500
614/614 [==============================] - 0s 135us/sample - loss: 2.3254 - y1_output_loss: 0.5022 - y2_output_loss: 1.8101 - y1_output_root_mean_squared_error: 0.7113 - y2_output_root_mean_squared_error: 1.3488 - val_loss: 2.4470 - val_y1_output_loss: 0.5276 - val_y2_output_loss: 2.0363 - val_y1_output_root_mean_squared_error: 0.7043 - val_y2_output_root_mean_squared_error: 1.3968
Epoch 87/500
614/614 [==============================] - 0s 137us/sample - loss: 3.9938 - y1_output_loss: 0.9532 - y2_output_loss: 3.0098 - y1_output_root_mean_squared_error: 0.9801 - y2_output_root_mean_squared_error: 1.7416 - val_loss: 2.4749 - val_y1_output_loss: 0.5006 - val_y2_output_loss: 2.0602 - val_y1_output_root_mean_squared_error: 0.6861 - val_y2_output_root_mean_squared_error: 1.4157
Epoch 88/500
614/614 [==============================] - 0s 146us/sample - loss: 2.4201 - y1_output_loss: 0.6079 - y2_output_loss: 1.8015 - y1_output_root_mean_squared_error: 0.7779 - y2_output_root_mean_squared_error: 1.3472 - val_loss: 5.3075 - val_y1_output_loss: 1.3488 - val_y2_output_loss: 4.0934 - val_y1_output_root_mean_squared_error: 1.1631 - val_y2_output_root_mean_squared_error: 1.9887
Epoch 89/500
614/614 [==============================] - 0s 141us/sample - loss: 2.5488 - y1_output_loss: 0.5643 - y2_output_loss: 1.9681 - y1_output_root_mean_squared_error: 0.7519 - y2_output_root_mean_squared_error: 1.4083 - val_loss: 2.3743 - val_y1_output_loss: 0.5027 - val_y2_output_loss: 2.0051 - val_y1_output_root_mean_squared_error: 0.6968 - val_y2_output_root_mean_squared_error: 1.3743
Epoch 90/500
614/614 [==============================] - 0s 139us/sample - loss: 2.8037 - y1_output_loss: 0.6638 - y2_output_loss: 2.1881 - y1_output_root_mean_squared_error: 0.8046 - y2_output_root_mean_squared_error: 1.4684 - val_loss: 6.6642 - val_y1_output_loss: 2.2398 - val_y2_output_loss: 4.3439 - val_y1_output_root_mean_squared_error: 1.5032 - val_y2_output_root_mean_squared_error: 2.0987
Epoch 91/500
614/614 [==============================] - 0s 141us/sample - loss: 2.8996 - y1_output_loss: 0.5751 - y2_output_loss: 2.3093 - y1_output_root_mean_squared_error: 0.7608 - y2_output_root_mean_squared_error: 1.5234 - val_loss: 5.2782 - val_y1_output_loss: 0.5323 - val_y2_output_loss: 5.0819 - val_y1_output_root_mean_squared_error: 0.7166 - val_y2_output_root_mean_squared_error: 2.1828
Epoch 92/500
614/614 [==============================] - 0s 138us/sample - loss: 2.5512 - y1_output_loss: 0.5884 - y2_output_loss: 1.9524 - y1_output_root_mean_squared_error: 0.7665 - y2_output_root_mean_squared_error: 1.4013 - val_loss: 2.5396 - val_y1_output_loss: 0.6356 - val_y2_output_loss: 2.0278 - val_y1_output_root_mean_squared_error: 0.7875 - val_y2_output_root_mean_squared_error: 1.3855
Epoch 93/500
614/614 [==============================] - 0s 135us/sample - loss: 3.0995 - y1_output_loss: 0.7025 - y2_output_loss: 2.3707 - y1_output_root_mean_squared_error: 0.8412 - y2_output_root_mean_squared_error: 1.5465 - val_loss: 2.5426 - val_y1_output_loss: 0.6194 - val_y2_output_loss: 1.9842 - val_y1_output_root_mean_squared_error: 0.7754 - val_y2_output_root_mean_squared_error: 1.3934
Epoch 94/500
614/614 [==============================] - 0s 134us/sample - loss: 2.5303 - y1_output_loss: 0.6600 - y2_output_loss: 1.8518 - y1_output_root_mean_squared_error: 0.8149 - y2_output_root_mean_squared_error: 1.3661 - val_loss: 2.4115 - val_y1_output_loss: 0.5348 - val_y2_output_loss: 1.9443 - val_y1_output_root_mean_squared_error: 0.7165 - val_y2_output_root_mean_squared_error: 1.3777
Epoch 95/500
614/614 [==============================] - 0s 135us/sample - loss: 1.8453 - y1_output_loss: 0.4431 - y2_output_loss: 1.4040 - y1_output_root_mean_squared_error: 0.6679 - y2_output_root_mean_squared_error: 1.1829 - val_loss: 4.6844 - val_y1_output_loss: 1.3696 - val_y2_output_loss: 3.2551 - val_y1_output_root_mean_squared_error: 1.1685 - val_y2_output_root_mean_squared_error: 1.8218
Epoch 96/500
614/614 [==============================] - 0s 140us/sample - loss: 12.4152 - y1_output_loss: 3.5256 - y2_output_loss: 8.7857 - y1_output_root_mean_squared_error: 1.8855 - y2_output_root_mean_squared_error: 2.9766 - val_loss: 2.5715 - val_y1_output_loss: 0.6477 - val_y2_output_loss: 1.9735 - val_y1_output_root_mean_squared_error: 0.7898 - val_y2_output_root_mean_squared_error: 1.3956
Epoch 97/500
614/614 [==============================] - 0s 140us/sample - loss: 2.2967 - y1_output_loss: 0.5692 - y2_output_loss: 1.7425 - y1_output_root_mean_squared_error: 0.7559 - y2_output_root_mean_squared_error: 1.3135 - val_loss: 5.0927 - val_y1_output_loss: 0.5627 - val_y2_output_loss: 4.8656 - val_y1_output_root_mean_squared_error: 0.7417 - val_y2_output_root_mean_squared_error: 2.1313
Epoch 98/500
614/614 [==============================] - 0s 141us/sample - loss: 2.0696 - y1_output_loss: 0.5223 - y2_output_loss: 1.5323 - y1_output_root_mean_squared_error: 0.7238 - y2_output_root_mean_squared_error: 1.2433 - val_loss: 3.0261 - val_y1_output_loss: 0.7381 - val_y2_output_loss: 2.2889 - val_y1_output_root_mean_squared_error: 0.8444 - val_y2_output_root_mean_squared_error: 1.5209
Epoch 99/500
614/614 [==============================] - 0s 139us/sample - loss: 2.7794 - y1_output_loss: 0.7020 - y2_output_loss: 2.0661 - y1_output_root_mean_squared_error: 0.8390 - y2_output_root_mean_squared_error: 1.4406 - val_loss: 2.5010 - val_y1_output_loss: 0.5281 - val_y2_output_loss: 2.1330 - val_y1_output_root_mean_squared_error: 0.7185 - val_y2_output_root_mean_squared_error: 1.4088
Epoch 100/500
614/614 [==============================] - 0s 135us/sample - loss: 2.1411 - y1_output_loss: 0.5263 - y2_output_loss: 1.6119 - y1_output_root_mean_squared_error: 0.7268 - y2_output_root_mean_squared_error: 1.2700 - val_loss: 2.6069 - val_y1_output_loss: 0.4962 - val_y2_output_loss: 2.0989 - val_y1_output_root_mean_squared_error: 0.6963 - val_y2_output_root_mean_squared_error: 1.4567
Epoch 101/500
614/614 [==============================] - 0s 142us/sample - loss: 2.2690 - y1_output_loss: 0.4661 - y2_output_loss: 1.8145 - y1_output_root_mean_squared_error: 0.6830 - y2_output_root_mean_squared_error: 1.3426 - val_loss: 2.5890 - val_y1_output_loss: 0.6204 - val_y2_output_loss: 2.0210 - val_y1_output_root_mean_squared_error: 0.7790 - val_y2_output_root_mean_squared_error: 1.4079
Epoch 102/500
614/614 [==============================] - 0s 140us/sample - loss: 1.9255 - y1_output_loss: 0.4470 - y2_output_loss: 1.4830 - y1_output_root_mean_squared_error: 0.6713 - y2_output_root_mean_squared_error: 1.2144 - val_loss: 4.0067 - val_y1_output_loss: 0.8610 - val_y2_output_loss: 3.3281 - val_y1_output_root_mean_squared_error: 0.9231 - val_y2_output_root_mean_squared_error: 1.7761
Epoch 103/500
614/614 [==============================] - 0s 140us/sample - loss: 2.0801 - y1_output_loss: 0.5425 - y2_output_loss: 1.5204 - y1_output_root_mean_squared_error: 0.7391 - y2_output_root_mean_squared_error: 1.2385 - val_loss: 2.7394 - val_y1_output_loss: 0.6023 - val_y2_output_loss: 2.1549 - val_y1_output_root_mean_squared_error: 0.7694 - val_y2_output_root_mean_squared_error: 1.4654
Epoch 104/500
614/614 [==============================] - 0s 139us/sample - loss: 2.9239 - y1_output_loss: 0.6881 - y2_output_loss: 2.2159 - y1_output_root_mean_squared_error: 0.8291 - y2_output_root_mean_squared_error: 1.4955 - val_loss: 2.3269 - val_y1_output_loss: 0.4991 - val_y2_output_loss: 1.9321 - val_y1_output_root_mean_squared_error: 0.6922 - val_y2_output_root_mean_squared_error: 1.3593
Epoch 105/500
614/614 [==============================] - 0s 142us/sample - loss: 2.3542 - y1_output_loss: 0.5756 - y2_output_loss: 1.8021 - y1_output_root_mean_squared_error: 0.7565 - y2_output_root_mean_squared_error: 1.3349 - val_loss: 3.5716 - val_y1_output_loss: 0.4732 - val_y2_output_loss: 3.3726 - val_y1_output_root_mean_squared_error: 0.6734 - val_y2_output_root_mean_squared_error: 1.7658
Epoch 106/500
614/614 [==============================] - 0s 149us/sample - loss: 2.9048 - y1_output_loss: 0.6890 - y2_output_loss: 2.2059 - y1_output_root_mean_squared_error: 0.8317 - y2_output_root_mean_squared_error: 1.4876 - val_loss: 2.6043 - val_y1_output_loss: 0.6319 - val_y2_output_loss: 2.0750 - val_y1_output_root_mean_squared_error: 0.7877 - val_y2_output_root_mean_squared_error: 1.4085
Epoch 107/500
614/614 [==============================] - 0s 133us/sample - loss: 1.9571 - y1_output_loss: 0.4538 - y2_output_loss: 1.5064 - y1_output_root_mean_squared_error: 0.6696 - y2_output_root_mean_squared_error: 1.2283 - val_loss: 2.1115 - val_y1_output_loss: 0.4127 - val_y2_output_loss: 1.7668 - val_y1_output_root_mean_squared_error: 0.6300 - val_y2_output_root_mean_squared_error: 1.3094
Epoch 108/500
614/614 [==============================] - 0s 137us/sample - loss: 1.7949 - y1_output_loss: 0.4387 - y2_output_loss: 1.3524 - y1_output_root_mean_squared_error: 0.6648 - y2_output_root_mean_squared_error: 1.1632 - val_loss: 2.5179 - val_y1_output_loss: 0.4128 - val_y2_output_loss: 2.2821 - val_y1_output_root_mean_squared_error: 0.6385 - val_y2_output_root_mean_squared_error: 1.4527
Epoch 109/500
614/614 [==============================] - 0s 141us/sample - loss: 1.7328 - y1_output_loss: 0.4242 - y2_output_loss: 1.2996 - y1_output_root_mean_squared_error: 0.6518 - y2_output_root_mean_squared_error: 1.1437 - val_loss: 2.0916 - val_y1_output_loss: 0.4347 - val_y2_output_loss: 1.7535 - val_y1_output_root_mean_squared_error: 0.6510 - val_y2_output_root_mean_squared_error: 1.2914
Epoch 110/500
614/614 [==============================] - 0s 143us/sample - loss: 2.1677 - y1_output_loss: 0.4295 - y2_output_loss: 1.7288 - y1_output_root_mean_squared_error: 0.6573 - y2_output_root_mean_squared_error: 1.3174 - val_loss: 4.9104 - val_y1_output_loss: 0.8170 - val_y2_output_loss: 4.0038 - val_y1_output_root_mean_squared_error: 0.8948 - val_y2_output_root_mean_squared_error: 2.0272
Epoch 111/500
614/614 [==============================] - 0s 134us/sample - loss: 1.9165 - y1_output_loss: 0.4464 - y2_output_loss: 1.4533 - y1_output_root_mean_squared_error: 0.6709 - y2_output_root_mean_squared_error: 1.2110 - val_loss: 2.2730 - val_y1_output_loss: 0.4384 - val_y2_output_loss: 1.9146 - val_y1_output_root_mean_squared_error: 0.6555 - val_y2_output_root_mean_squared_error: 1.3577
Epoch 112/500
614/614 [==============================] - 0s 142us/sample - loss: 2.0263 - y1_output_loss: 0.4576 - y2_output_loss: 1.5520 - y1_output_root_mean_squared_error: 0.6791 - y2_output_root_mean_squared_error: 1.2510 - val_loss: 2.5505 - val_y1_output_loss: 0.4993 - val_y2_output_loss: 2.1963 - val_y1_output_root_mean_squared_error: 0.7011 - val_y2_output_root_mean_squared_error: 1.4349
Epoch 113/500
614/614 [==============================] - 0s 142us/sample - loss: 1.8622 - y1_output_loss: 0.4182 - y2_output_loss: 1.4477 - y1_output_root_mean_squared_error: 0.6464 - y2_output_root_mean_squared_error: 1.2018 - val_loss: 2.9908 - val_y1_output_loss: 0.5621 - val_y2_output_loss: 2.5713 - val_y1_output_root_mean_squared_error: 0.7490 - val_y2_output_root_mean_squared_error: 1.5588
Epoch 114/500
614/614 [==============================] - 0s 134us/sample - loss: 1.8245 - y1_output_loss: 0.4045 - y2_output_loss: 1.4275 - y1_output_root_mean_squared_error: 0.6349 - y2_output_root_mean_squared_error: 1.1922 - val_loss: 4.5240 - val_y1_output_loss: 0.6057 - val_y2_output_loss: 4.1870 - val_y1_output_root_mean_squared_error: 0.7776 - val_y2_output_root_mean_squared_error: 1.9797
Epoch 115/500
614/614 [==============================] - 0s 137us/sample - loss: 1.9642 - y1_output_loss: 0.3926 - y2_output_loss: 1.5613 - y1_output_root_mean_squared_error: 0.6267 - y2_output_root_mean_squared_error: 1.2536 - val_loss: 2.8283 - val_y1_output_loss: 0.3939 - val_y2_output_loss: 2.4051 - val_y1_output_root_mean_squared_error: 0.6210 - val_y2_output_root_mean_squared_error: 1.5629
Epoch 116/500
614/614 [==============================] - 0s 139us/sample - loss: 2.1589 - y1_output_loss: 0.5673 - y2_output_loss: 1.6355 - y1_output_root_mean_squared_error: 0.7406 - y2_output_root_mean_squared_error: 1.2690 - val_loss: 5.9406 - val_y1_output_loss: 1.3811 - val_y2_output_loss: 4.4463 - val_y1_output_root_mean_squared_error: 1.1769 - val_y2_output_root_mean_squared_error: 2.1343
Epoch 117/500
614/614 [==============================] - 0s 139us/sample - loss: 2.4023 - y1_output_loss: 0.5346 - y2_output_loss: 1.9029 - y1_output_root_mean_squared_error: 0.7339 - y2_output_root_mean_squared_error: 1.3652 - val_loss: 2.8289 - val_y1_output_loss: 0.5244 - val_y2_output_loss: 2.4507 - val_y1_output_root_mean_squared_error: 0.7299 - val_y2_output_root_mean_squared_error: 1.5153
Epoch 118/500
614/614 [==============================] - 0s 136us/sample - loss: 1.6370 - y1_output_loss: 0.3803 - y2_output_loss: 1.2559 - y1_output_root_mean_squared_error: 0.6171 - y2_output_root_mean_squared_error: 1.1208 - val_loss: 2.6784 - val_y1_output_loss: 0.6788 - val_y2_output_loss: 2.0682 - val_y1_output_root_mean_squared_error: 0.8273 - val_y2_output_root_mean_squared_error: 1.4121
Epoch 119/500
614/614 [==============================] - 0s 143us/sample - loss: 1.8877 - y1_output_loss: 0.4392 - y2_output_loss: 1.4722 - y1_output_root_mean_squared_error: 0.6587 - y2_output_root_mean_squared_error: 1.2058 - val_loss: 2.7773 - val_y1_output_loss: 1.1221 - val_y2_output_loss: 1.6829 - val_y1_output_root_mean_squared_error: 1.0638 - val_y2_output_root_mean_squared_error: 1.2828
Epoch 120/500
614/614 [==============================] - 0s 144us/sample - loss: 2.5809 - y1_output_loss: 0.6497 - y2_output_loss: 1.9726 - y1_output_root_mean_squared_error: 0.7850 - y2_output_root_mean_squared_error: 1.4017 - val_loss: 14.5684 - val_y1_output_loss: 4.5271 - val_y2_output_loss: 10.2754 - val_y1_output_root_mean_squared_error: 2.1460 - val_y2_output_root_mean_squared_error: 3.1564
Epoch 121/500
614/614 [==============================] - 0s 140us/sample - loss: 2.5029 - y1_output_loss: 0.6789 - y2_output_loss: 1.8058 - y1_output_root_mean_squared_error: 0.8276 - y2_output_root_mean_squared_error: 1.3484 - val_loss: 1.9653 - val_y1_output_loss: 0.4101 - val_y2_output_loss: 1.6190 - val_y1_output_root_mean_squared_error: 0.6388 - val_y2_output_root_mean_squared_error: 1.2478
Epoch 122/500
614/614 [==============================] - 0s 141us/sample - loss: 1.9630 - y1_output_loss: 0.3856 - y2_output_loss: 1.5611 - y1_output_root_mean_squared_error: 0.6225 - y2_output_root_mean_squared_error: 1.2552 - val_loss: 2.4343 - val_y1_output_loss: 0.4153 - val_y2_output_loss: 2.1419 - val_y1_output_root_mean_squared_error: 0.6371 - val_y2_output_root_mean_squared_error: 1.4242
Epoch 123/500
614/614 [==============================] - 0s 141us/sample - loss: 1.5565 - y1_output_loss: 0.3496 - y2_output_loss: 1.2170 - y1_output_root_mean_squared_error: 0.5931 - y2_output_root_mean_squared_error: 1.0976 - val_loss: 4.5499 - val_y1_output_loss: 0.8566 - val_y2_output_loss: 3.8517 - val_y1_output_root_mean_squared_error: 0.9267 - val_y2_output_root_mean_squared_error: 1.9212
Epoch 124/500
614/614 [==============================] - 0s 137us/sample - loss: 1.5449 - y1_output_loss: 0.2995 - y2_output_loss: 1.2350 - y1_output_root_mean_squared_error: 0.5488 - y2_output_root_mean_squared_error: 1.1152 - val_loss: 2.7159 - val_y1_output_loss: 0.4577 - val_y2_output_loss: 2.2355 - val_y1_output_root_mean_squared_error: 0.6714 - val_y2_output_root_mean_squared_error: 1.5050
Epoch 125/500
614/614 [==============================] - 0s 137us/sample - loss: 1.7176 - y1_output_loss: 0.3386 - y2_output_loss: 1.3824 - y1_output_root_mean_squared_error: 0.5801 - y2_output_root_mean_squared_error: 1.1752 - val_loss: 2.4407 - val_y1_output_loss: 0.6343 - val_y2_output_loss: 1.9206 - val_y1_output_root_mean_squared_error: 0.7932 - val_y2_output_root_mean_squared_error: 1.3459
Epoch 126/500
614/614 [==============================] - 0s 138us/sample - loss: 1.3487 - y1_output_loss: 0.3163 - y2_output_loss: 1.0392 - y1_output_root_mean_squared_error: 0.5492 - y2_output_root_mean_squared_error: 1.0233 - val_loss: 2.4683 - val_y1_output_loss: 0.6620 - val_y2_output_loss: 1.9020 - val_y1_output_root_mean_squared_error: 0.8145 - val_y2_output_root_mean_squared_error: 1.3435
Epoch 127/500
614/614 [==============================] - 0s 136us/sample - loss: 1.6096 - y1_output_loss: 0.4028 - y2_output_loss: 1.1970 - y1_output_root_mean_squared_error: 0.6354 - y2_output_root_mean_squared_error: 1.0981 - val_loss: 2.1631 - val_y1_output_loss: 0.3763 - val_y2_output_loss: 1.9442 - val_y1_output_root_mean_squared_error: 0.6116 - val_y2_output_root_mean_squared_error: 1.3375
Epoch 128/500
614/614 [==============================] - 0s 136us/sample - loss: 1.7689 - y1_output_loss: 0.4276 - y2_output_loss: 1.3379 - y1_output_root_mean_squared_error: 0.6568 - y2_output_root_mean_squared_error: 1.1565 - val_loss: 2.6535 - val_y1_output_loss: 0.4305 - val_y2_output_loss: 2.2073 - val_y1_output_root_mean_squared_error: 0.6543 - val_y2_output_root_mean_squared_error: 1.4918
Epoch 129/500
614/614 [==============================] - 0s 136us/sample - loss: 2.0185 - y1_output_loss: 0.4193 - y2_output_loss: 1.6203 - y1_output_root_mean_squared_error: 0.6448 - y2_output_root_mean_squared_error: 1.2660 - val_loss: 7.1525 - val_y1_output_loss: 1.4512 - val_y2_output_loss: 5.9573 - val_y1_output_root_mean_squared_error: 1.2109 - val_y2_output_root_mean_squared_error: 2.3846
Epoch 130/500
614/614 [==============================] - 0s 133us/sample - loss: 2.4229 - y1_output_loss: 0.5511 - y2_output_loss: 1.8540 - y1_output_root_mean_squared_error: 0.7431 - y2_output_root_mean_squared_error: 1.3677 - val_loss: 1.8079 - val_y1_output_loss: 0.3549 - val_y2_output_loss: 1.5405 - val_y1_output_root_mean_squared_error: 0.5900 - val_y2_output_root_mean_squared_error: 1.2082
Epoch 131/500
614/614 [==============================] - 0s 141us/sample - loss: 1.7140 - y1_output_loss: 0.3421 - y2_output_loss: 1.4077 - y1_output_root_mean_squared_error: 0.5727 - y2_output_root_mean_squared_error: 1.1773 - val_loss: 7.5964 - val_y1_output_loss: 2.1345 - val_y2_output_loss: 5.6102 - val_y1_output_root_mean_squared_error: 1.4664 - val_y2_output_root_mean_squared_error: 2.3337
Epoch 132/500
614/614 [==============================] - 0s 146us/sample - loss: 1.8387 - y1_output_loss: 0.4150 - y2_output_loss: 1.4070 - y1_output_root_mean_squared_error: 0.6471 - y2_output_root_mean_squared_error: 1.1916 - val_loss: 2.0896 - val_y1_output_loss: 0.5553 - val_y2_output_loss: 1.5558 - val_y1_output_root_mean_squared_error: 0.7486 - val_y2_output_root_mean_squared_error: 1.2366
Epoch 133/500
614/614 [==============================] - 0s 146us/sample - loss: 1.3871 - y1_output_loss: 0.3041 - y2_output_loss: 1.0811 - y1_output_root_mean_squared_error: 0.5535 - y2_output_root_mean_squared_error: 1.0396 - val_loss: 2.0456 - val_y1_output_loss: 0.3651 - val_y2_output_loss: 1.6985 - val_y1_output_root_mean_squared_error: 0.6015 - val_y2_output_root_mean_squared_error: 1.2976
Epoch 134/500
614/614 [==============================] - 0s 141us/sample - loss: 1.6439 - y1_output_loss: 0.3178 - y2_output_loss: 1.3192 - y1_output_root_mean_squared_error: 0.5659 - y2_output_root_mean_squared_error: 1.1505 - val_loss: 2.6961 - val_y1_output_loss: 0.4179 - val_y2_output_loss: 2.4170 - val_y1_output_root_mean_squared_error: 0.6470 - val_y2_output_root_mean_squared_error: 1.5091
Epoch 135/500
614/614 [==============================] - 0s 138us/sample - loss: 1.5577 - y1_output_loss: 0.3523 - y2_output_loss: 1.1946 - y1_output_root_mean_squared_error: 0.5953 - y2_output_root_mean_squared_error: 1.0969 - val_loss: 1.8172 - val_y1_output_loss: 0.3720 - val_y2_output_loss: 1.5015 - val_y1_output_root_mean_squared_error: 0.6091 - val_y2_output_root_mean_squared_error: 1.2026
Epoch 136/500
614/614 [==============================] - 0s 135us/sample - loss: 1.6696 - y1_output_loss: 0.4008 - y2_output_loss: 1.2588 - y1_output_root_mean_squared_error: 0.6344 - y2_output_root_mean_squared_error: 1.1257 - val_loss: 3.4705 - val_y1_output_loss: 0.4437 - val_y2_output_loss: 2.9780 - val_y1_output_root_mean_squared_error: 0.6629 - val_y2_output_root_mean_squared_error: 1.7410
Epoch 137/500
614/614 [==============================] - 0s 139us/sample - loss: 2.2653 - y1_output_loss: 0.5393 - y2_output_loss: 1.7100 - y1_output_root_mean_squared_error: 0.7370 - y2_output_root_mean_squared_error: 1.3123 - val_loss: 2.1512 - val_y1_output_loss: 0.4525 - val_y2_output_loss: 1.8321 - val_y1_output_root_mean_squared_error: 0.6681 - val_y2_output_root_mean_squared_error: 1.3057
Epoch 138/500
614/614 [==============================] - 0s 137us/sample - loss: 1.3136 - y1_output_loss: 0.2740 - y2_output_loss: 1.0410 - y1_output_root_mean_squared_error: 0.5247 - y2_output_root_mean_squared_error: 1.0189 - val_loss: 2.2993 - val_y1_output_loss: 0.6983 - val_y2_output_loss: 1.6337 - val_y1_output_root_mean_squared_error: 0.8333 - val_y2_output_root_mean_squared_error: 1.2669
Epoch 139/500
614/614 [==============================] - 0s 138us/sample - loss: 1.9943 - y1_output_loss: 0.3955 - y2_output_loss: 1.5806 - y1_output_root_mean_squared_error: 0.6315 - y2_output_root_mean_squared_error: 1.2631 - val_loss: 1.8078 - val_y1_output_loss: 0.3589 - val_y2_output_loss: 1.4797 - val_y1_output_root_mean_squared_error: 0.5963 - val_y2_output_root_mean_squared_error: 1.2051
Epoch 140/500
614/614 [==============================] - 0s 135us/sample - loss: 2.0590 - y1_output_loss: 0.4935 - y2_output_loss: 1.6709 - y1_output_root_mean_squared_error: 0.6875 - y2_output_root_mean_squared_error: 1.2595 - val_loss: 8.0474 - val_y1_output_loss: 1.3884 - val_y2_output_loss: 6.6041 - val_y1_output_root_mean_squared_error: 1.1684 - val_y2_output_root_mean_squared_error: 2.5850
Epoch 141/500
614/614 [==============================] - 0s 140us/sample - loss: 1.6124 - y1_output_loss: 0.3917 - y2_output_loss: 1.2138 - y1_output_root_mean_squared_error: 0.6285 - y2_output_root_mean_squared_error: 1.1033 - val_loss: 3.7777 - val_y1_output_loss: 0.8051 - val_y2_output_loss: 3.0760 - val_y1_output_root_mean_squared_error: 0.9063 - val_y2_output_root_mean_squared_error: 1.7194
Epoch 142/500
614/614 [==============================] - 0s 134us/sample - loss: 1.4812 - y1_output_loss: 0.3174 - y2_output_loss: 1.1972 - y1_output_root_mean_squared_error: 0.5577 - y2_output_root_mean_squared_error: 1.0818 - val_loss: 7.1811 - val_y1_output_loss: 2.0207 - val_y2_output_loss: 4.9792 - val_y1_output_root_mean_squared_error: 1.4363 - val_y2_output_root_mean_squared_error: 2.2623
Epoch 143/500
614/614 [==============================] - 0s 140us/sample - loss: 1.4393 - y1_output_loss: 0.2869 - y2_output_loss: 1.1448 - y1_output_root_mean_squared_error: 0.5372 - y2_output_root_mean_squared_error: 1.0727 - val_loss: 1.8826 - val_y1_output_loss: 0.3736 - val_y2_output_loss: 1.5262 - val_y1_output_root_mean_squared_error: 0.6083 - val_y2_output_root_mean_squared_error: 1.2299
Epoch 144/500
614/614 [==============================] - 0s 136us/sample - loss: 1.2936 - y1_output_loss: 0.2793 - y2_output_loss: 1.0269 - y1_output_root_mean_squared_error: 0.5283 - y2_output_root_mean_squared_error: 1.0072 - val_loss: 9.5251 - val_y1_output_loss: 1.1035 - val_y2_output_loss: 8.2314 - val_y1_output_root_mean_squared_error: 1.0539 - val_y2_output_root_mean_squared_error: 2.9008
Epoch 145/500
614/614 [==============================] - 0s 135us/sample - loss: 1.6316 - y1_output_loss: 0.2830 - y2_output_loss: 1.3376 - y1_output_root_mean_squared_error: 0.5317 - y2_output_root_mean_squared_error: 1.1614 - val_loss: 1.7741 - val_y1_output_loss: 0.3197 - val_y2_output_loss: 1.5646 - val_y1_output_root_mean_squared_error: 0.5616 - val_y2_output_root_mean_squared_error: 1.2078
Epoch 146/500
614/614 [==============================] - 0s 137us/sample - loss: 1.4453 - y1_output_loss: 0.2711 - y2_output_loss: 1.1763 - y1_output_root_mean_squared_error: 0.5216 - y2_output_root_mean_squared_error: 1.0831 - val_loss: 3.6478 - val_y1_output_loss: 0.4730 - val_y2_output_loss: 3.1030 - val_y1_output_root_mean_squared_error: 0.6901 - val_y2_output_root_mean_squared_error: 1.7809
Epoch 147/500
614/614 [==============================] - 0s 136us/sample - loss: 1.3871 - y1_output_loss: 0.2698 - y2_output_loss: 1.1148 - y1_output_root_mean_squared_error: 0.5175 - y2_output_root_mean_squared_error: 1.0580 - val_loss: 3.4399 - val_y1_output_loss: 0.6271 - val_y2_output_loss: 2.7633 - val_y1_output_root_mean_squared_error: 0.7936 - val_y2_output_root_mean_squared_error: 1.6763
Epoch 148/500
614/614 [==============================] - 0s 152us/sample - loss: 1.8316 - y1_output_loss: 0.4452 - y2_output_loss: 1.3728 - y1_output_root_mean_squared_error: 0.6684 - y2_output_root_mean_squared_error: 1.1768 - val_loss: 2.0090 - val_y1_output_loss: 0.3185 - val_y2_output_loss: 1.7089 - val_y1_output_root_mean_squared_error: 0.5653 - val_y2_output_root_mean_squared_error: 1.2998
Epoch 149/500
614/614 [==============================] - 0s 140us/sample - loss: 1.6071 - y1_output_loss: 0.3201 - y2_output_loss: 1.2922 - y1_output_root_mean_squared_error: 0.5680 - y2_output_root_mean_squared_error: 1.1334 - val_loss: 2.1493 - val_y1_output_loss: 0.3897 - val_y2_output_loss: 1.7576 - val_y1_output_root_mean_squared_error: 0.6279 - val_y2_output_root_mean_squared_error: 1.3248
Epoch 150/500
614/614 [==============================] - 0s 137us/sample - loss: 1.3374 - y1_output_loss: 0.2691 - y2_output_loss: 1.0567 - y1_output_root_mean_squared_error: 0.5207 - y2_output_root_mean_squared_error: 1.0326 - val_loss: 2.0793 - val_y1_output_loss: 0.3411 - val_y2_output_loss: 1.8587 - val_y1_output_root_mean_squared_error: 0.5846 - val_y2_output_root_mean_squared_error: 1.3182
Epoch 151/500
614/614 [==============================] - 0s 136us/sample - loss: 1.4365 - y1_output_loss: 0.3207 - y2_output_loss: 1.1181 - y1_output_root_mean_squared_error: 0.5676 - y2_output_root_mean_squared_error: 1.0556 - val_loss: 4.3569 - val_y1_output_loss: 0.4781 - val_y2_output_loss: 3.7863 - val_y1_output_root_mean_squared_error: 0.6927 - val_y2_output_root_mean_squared_error: 1.9690
Epoch 152/500
614/614 [==============================] - 0s 138us/sample - loss: 1.9981 - y1_output_loss: 0.3965 - y2_output_loss: 1.5897 - y1_output_root_mean_squared_error: 0.6313 - y2_output_root_mean_squared_error: 1.2647 - val_loss: 2.5797 - val_y1_output_loss: 0.6306 - val_y2_output_loss: 1.9381 - val_y1_output_root_mean_squared_error: 0.7963 - val_y2_output_root_mean_squared_error: 1.3948
Epoch 153/500
614/614 [==============================] - 0s 135us/sample - loss: 1.1171 - y1_output_loss: 0.2780 - y2_output_loss: 0.8307 - y1_output_root_mean_squared_error: 0.5291 - y2_output_root_mean_squared_error: 0.9149 - val_loss: 1.6918 - val_y1_output_loss: 0.3025 - val_y2_output_loss: 1.4319 - val_y1_output_root_mean_squared_error: 0.5516 - val_y2_output_root_mean_squared_error: 1.1779
Epoch 154/500
614/614 [==============================] - 0s 138us/sample - loss: 2.0903 - y1_output_loss: 0.4845 - y2_output_loss: 1.6089 - y1_output_root_mean_squared_error: 0.6898 - y2_output_root_mean_squared_error: 1.2706 - val_loss: 2.9557 - val_y1_output_loss: 0.3104 - val_y2_output_loss: 2.8306 - val_y1_output_root_mean_squared_error: 0.5562 - val_y2_output_root_mean_squared_error: 1.6268
Epoch 155/500
614/614 [==============================] - 0s 138us/sample - loss: 1.2012 - y1_output_loss: 0.2947 - y2_output_loss: 0.9036 - y1_output_root_mean_squared_error: 0.5452 - y2_output_root_mean_squared_error: 0.9508 - val_loss: 1.9535 - val_y1_output_loss: 0.3720 - val_y2_output_loss: 1.5899 - val_y1_output_root_mean_squared_error: 0.6114 - val_y2_output_root_mean_squared_error: 1.2568
Epoch 156/500
614/614 [==============================] - 0s 139us/sample - loss: 1.2543 - y1_output_loss: 0.2707 - y2_output_loss: 0.9803 - y1_output_root_mean_squared_error: 0.5160 - y2_output_root_mean_squared_error: 0.9940 - val_loss: 2.7021 - val_y1_output_loss: 0.9688 - val_y2_output_loss: 1.7365 - val_y1_output_root_mean_squared_error: 0.9867 - val_y2_output_root_mean_squared_error: 1.3147
Epoch 157/500
614/614 [==============================] - 0s 139us/sample - loss: 1.3784 - y1_output_loss: 0.2565 - y2_output_loss: 1.1220 - y1_output_root_mean_squared_error: 0.5059 - y2_output_root_mean_squared_error: 1.0594 - val_loss: 9.0629 - val_y1_output_loss: 2.1323 - val_y2_output_loss: 6.6836 - val_y1_output_root_mean_squared_error: 1.4716 - val_y2_output_root_mean_squared_error: 2.6263
Epoch 158/500
614/614 [==============================] - 0s 134us/sample - loss: 1.5388 - y1_output_loss: 0.3682 - y2_output_loss: 1.1718 - y1_output_root_mean_squared_error: 0.6091 - y2_output_root_mean_squared_error: 1.0806 - val_loss: 1.7003 - val_y1_output_loss: 0.3542 - val_y2_output_loss: 1.4057 - val_y1_output_root_mean_squared_error: 0.5982 - val_y2_output_root_mean_squared_error: 1.1587
Epoch 159/500
614/614 [==============================] - 0s 180us/sample - loss: 1.5182 - y1_output_loss: 0.3705 - y2_output_loss: 1.1341 - y1_output_root_mean_squared_error: 0.6114 - y2_output_root_mean_squared_error: 1.0697 - val_loss: 1.6533 - val_y1_output_loss: 0.3248 - val_y2_output_loss: 1.3794 - val_y1_output_root_mean_squared_error: 0.5686 - val_y2_output_root_mean_squared_error: 1.1533
Epoch 160/500
614/614 [==============================] - 0s 141us/sample - loss: 1.8722 - y1_output_loss: 0.4572 - y2_output_loss: 1.4007 - y1_output_root_mean_squared_error: 0.6790 - y2_output_root_mean_squared_error: 1.1879 - val_loss: 1.5322 - val_y1_output_loss: 0.3012 - val_y2_output_loss: 1.2978 - val_y1_output_root_mean_squared_error: 0.5498 - val_y2_output_root_mean_squared_error: 1.1090
Epoch 161/500
614/614 [==============================] - 0s 136us/sample - loss: 1.6026 - y1_output_loss: 0.3133 - y2_output_loss: 1.2798 - y1_output_root_mean_squared_error: 0.5593 - y2_output_root_mean_squared_error: 1.1357 - val_loss: 2.6402 - val_y1_output_loss: 0.4470 - val_y2_output_loss: 2.3072 - val_y1_output_root_mean_squared_error: 0.6673 - val_y2_output_root_mean_squared_error: 1.4815
Epoch 162/500
614/614 [==============================] - 0s 138us/sample - loss: 1.2757 - y1_output_loss: 0.2879 - y2_output_loss: 0.9782 - y1_output_root_mean_squared_error: 0.5380 - y2_output_root_mean_squared_error: 0.9931 - val_loss: 1.5541 - val_y1_output_loss: 0.2998 - val_y2_output_loss: 1.3211 - val_y1_output_root_mean_squared_error: 0.5473 - val_y2_output_root_mean_squared_error: 1.1201
Epoch 163/500
614/614 [==============================] - 0s 144us/sample - loss: 1.3914 - y1_output_loss: 0.3155 - y2_output_loss: 1.0831 - y1_output_root_mean_squared_error: 0.5636 - y2_output_root_mean_squared_error: 1.0362 - val_loss: 2.7356 - val_y1_output_loss: 0.7584 - val_y2_output_loss: 1.9922 - val_y1_output_root_mean_squared_error: 0.8683 - val_y2_output_root_mean_squared_error: 1.4077
Epoch 164/500
614/614 [==============================] - 0s 137us/sample - loss: 1.0822 - y1_output_loss: 0.2330 - y2_output_loss: 0.8486 - y1_output_root_mean_squared_error: 0.4840 - y2_output_root_mean_squared_error: 0.9208 - val_loss: 1.7390 - val_y1_output_loss: 0.3779 - val_y2_output_loss: 1.3813 - val_y1_output_root_mean_squared_error: 0.6121 - val_y2_output_root_mean_squared_error: 1.1681
Epoch 165/500
614/614 [==============================] - 0s 164us/sample - loss: 2.0892 - y1_output_loss: 0.4686 - y2_output_loss: 1.6024 - y1_output_root_mean_squared_error: 0.6876 - y2_output_root_mean_squared_error: 1.2714 - val_loss: 1.5131 - val_y1_output_loss: 0.2721 - val_y2_output_loss: 1.3042 - val_y1_output_root_mean_squared_error: 0.5195 - val_y2_output_root_mean_squared_error: 1.1150
Epoch 166/500
614/614 [==============================] - 0s 136us/sample - loss: 1.1659 - y1_output_loss: 0.2465 - y2_output_loss: 0.9261 - y1_output_root_mean_squared_error: 0.4937 - y2_output_root_mean_squared_error: 0.9603 - val_loss: 3.9548 - val_y1_output_loss: 0.3610 - val_y2_output_loss: 3.8258 - val_y1_output_root_mean_squared_error: 0.6053 - val_y2_output_root_mean_squared_error: 1.8943
Epoch 167/500
614/614 [==============================] - 0s 136us/sample - loss: 1.5385 - y1_output_loss: 0.3101 - y2_output_loss: 1.2928 - y1_output_root_mean_squared_error: 0.5415 - y2_output_root_mean_squared_error: 1.1159 - val_loss: 2.9768 - val_y1_output_loss: 0.6092 - val_y2_output_loss: 2.3128 - val_y1_output_root_mean_squared_error: 0.7875 - val_y2_output_root_mean_squared_error: 1.5351
Epoch 168/500
614/614 [==============================] - 0s 141us/sample - loss: 1.3013 - y1_output_loss: 0.2669 - y2_output_loss: 1.0476 - y1_output_root_mean_squared_error: 0.5179 - y2_output_root_mean_squared_error: 1.0164 - val_loss: 4.3791 - val_y1_output_loss: 0.6478 - val_y2_output_loss: 3.6202 - val_y1_output_root_mean_squared_error: 0.8087 - val_y2_output_root_mean_squared_error: 1.9301
Epoch 169/500
614/614 [==============================] - 0s 138us/sample - loss: 1.2200 - y1_output_loss: 0.2684 - y2_output_loss: 0.9524 - y1_output_root_mean_squared_error: 0.5168 - y2_output_root_mean_squared_error: 0.9762 - val_loss: 1.9310 - val_y1_output_loss: 0.4880 - val_y2_output_loss: 1.5036 - val_y1_output_root_mean_squared_error: 0.7033 - val_y2_output_root_mean_squared_error: 1.1985
Epoch 170/500
614/614 [==============================] - 0s 141us/sample - loss: 1.4781 - y1_output_loss: 0.3072 - y2_output_loss: 1.1670 - y1_output_root_mean_squared_error: 0.5511 - y2_output_root_mean_squared_error: 1.0837 - val_loss: 4.4158 - val_y1_output_loss: 1.2841 - val_y2_output_loss: 3.2343 - val_y1_output_root_mean_squared_error: 1.1497 - val_y2_output_root_mean_squared_error: 1.7590
Epoch 171/500
614/614 [==============================] - 0s 141us/sample - loss: 1.5232 - y1_output_loss: 0.3504 - y2_output_loss: 1.1599 - y1_output_root_mean_squared_error: 0.5942 - y2_output_root_mean_squared_error: 1.0817 - val_loss: 1.6603 - val_y1_output_loss: 0.3302 - val_y2_output_loss: 1.3878 - val_y1_output_root_mean_squared_error: 0.5762 - val_y2_output_root_mean_squared_error: 1.1525
Epoch 172/500
614/614 [==============================] - 0s 142us/sample - loss: 1.2700 - y1_output_loss: 0.3088 - y2_output_loss: 0.9515 - y1_output_root_mean_squared_error: 0.5573 - y2_output_root_mean_squared_error: 0.9795 - val_loss: 2.5102 - val_y1_output_loss: 0.4706 - val_y2_output_loss: 2.0120 - val_y1_output_root_mean_squared_error: 0.6917 - val_y2_output_root_mean_squared_error: 1.4254
Epoch 173/500
614/614 [==============================] - 0s 141us/sample - loss: 1.4375 - y1_output_loss: 0.2648 - y2_output_loss: 1.1614 - y1_output_root_mean_squared_error: 0.5164 - y2_output_root_mean_squared_error: 1.0821 - val_loss: 1.9016 - val_y1_output_loss: 0.3184 - val_y2_output_loss: 1.5838 - val_y1_output_root_mean_squared_error: 0.5689 - val_y2_output_root_mean_squared_error: 1.2562
Epoch 174/500
614/614 [==============================] - 0s 136us/sample - loss: 1.2350 - y1_output_loss: 0.2980 - y2_output_loss: 0.9323 - y1_output_root_mean_squared_error: 0.5477 - y2_output_root_mean_squared_error: 0.9670 - val_loss: 1.9923 - val_y1_output_loss: 0.4354 - val_y2_output_loss: 1.5559 - val_y1_output_root_mean_squared_error: 0.6647 - val_y2_output_root_mean_squared_error: 1.2452
Epoch 175/500
614/614 [==============================] - 0s 138us/sample - loss: 1.1026 - y1_output_loss: 0.2427 - y2_output_loss: 0.9228 - y1_output_root_mean_squared_error: 0.4829 - y2_output_root_mean_squared_error: 0.9324 - val_loss: 15.3379 - val_y1_output_loss: 2.8120 - val_y2_output_loss: 12.2807 - val_y1_output_root_mean_squared_error: 1.6803 - val_y2_output_root_mean_squared_error: 3.5376
Epoch 176/500
614/614 [==============================] - 0s 133us/sample - loss: 1.5069 - y1_output_loss: 0.3380 - y2_output_loss: 1.1551 - y1_output_root_mean_squared_error: 0.5837 - y2_output_root_mean_squared_error: 1.0799 - val_loss: 1.4815 - val_y1_output_loss: 0.2658 - val_y2_output_loss: 1.2946 - val_y1_output_root_mean_squared_error: 0.5139 - val_y2_output_root_mean_squared_error: 1.1034
Epoch 177/500
614/614 [==============================] - 0s 139us/sample - loss: 1.0667 - y1_output_loss: 0.2005 - y2_output_loss: 0.8570 - y1_output_root_mean_squared_error: 0.4498 - y2_output_root_mean_squared_error: 0.9297 - val_loss: 1.5637 - val_y1_output_loss: 0.2941 - val_y2_output_loss: 1.3315 - val_y1_output_root_mean_squared_error: 0.5441 - val_y2_output_root_mean_squared_error: 1.1259
Epoch 178/500
614/614 [==============================] - 0s 138us/sample - loss: 1.2316 - y1_output_loss: 0.2595 - y2_output_loss: 0.9682 - y1_output_root_mean_squared_error: 0.5111 - y2_output_root_mean_squared_error: 0.9851 - val_loss: 1.9956 - val_y1_output_loss: 0.3668 - val_y2_output_loss: 1.6954 - val_y1_output_root_mean_squared_error: 0.6064 - val_y2_output_root_mean_squared_error: 1.2759
Epoch 179/500
614/614 [==============================] - 0s 142us/sample - loss: 1.1753 - y1_output_loss: 0.2341 - y2_output_loss: 0.9380 - y1_output_root_mean_squared_error: 0.4819 - y2_output_root_mean_squared_error: 0.9711 - val_loss: 2.5931 - val_y1_output_loss: 0.2831 - val_y2_output_loss: 2.2630 - val_y1_output_root_mean_squared_error: 0.5369 - val_y2_output_root_mean_squared_error: 1.5181
Epoch 180/500
614/614 [==============================] - 0s 140us/sample - loss: 1.2998 - y1_output_loss: 0.3117 - y2_output_loss: 0.9816 - y1_output_root_mean_squared_error: 0.5592 - y2_output_root_mean_squared_error: 0.9936 - val_loss: 1.8074 - val_y1_output_loss: 0.2654 - val_y2_output_loss: 1.6600 - val_y1_output_root_mean_squared_error: 0.5143 - val_y2_output_root_mean_squared_error: 1.2421
Epoch 181/500
614/614 [==============================] - 0s 138us/sample - loss: 0.9344 - y1_output_loss: 0.1948 - y2_output_loss: 0.7334 - y1_output_root_mean_squared_error: 0.4428 - y2_output_root_mean_squared_error: 0.8592 - val_loss: 1.4248 - val_y1_output_loss: 0.2560 - val_y2_output_loss: 1.1999 - val_y1_output_root_mean_squared_error: 0.5066 - val_y2_output_root_mean_squared_error: 1.0808
Epoch 182/500
614/614 [==============================] - 0s 140us/sample - loss: 0.9278 - y1_output_loss: 0.2027 - y2_output_loss: 0.7171 - y1_output_root_mean_squared_error: 0.4523 - y2_output_root_mean_squared_error: 0.8504 - val_loss: 1.8406 - val_y1_output_loss: 0.3686 - val_y2_output_loss: 1.4727 - val_y1_output_root_mean_squared_error: 0.6124 - val_y2_output_root_mean_squared_error: 1.2106
Epoch 183/500
614/614 [==============================] - 0s 140us/sample - loss: 1.4382 - y1_output_loss: 0.3100 - y2_output_loss: 1.1164 - y1_output_root_mean_squared_error: 0.5586 - y2_output_root_mean_squared_error: 1.0612 - val_loss: 2.5891 - val_y1_output_loss: 0.3572 - val_y2_output_loss: 2.1916 - val_y1_output_root_mean_squared_error: 0.6014 - val_y2_output_root_mean_squared_error: 1.4925
Epoch 184/500
614/614 [==============================] - 0s 139us/sample - loss: 1.3033 - y1_output_loss: 0.2679 - y2_output_loss: 1.0266 - y1_output_root_mean_squared_error: 0.5190 - y2_output_root_mean_squared_error: 1.0168 - val_loss: 1.5399 - val_y1_output_loss: 0.2678 - val_y2_output_loss: 1.3301 - val_y1_output_root_mean_squared_error: 0.5239 - val_y2_output_root_mean_squared_error: 1.1249
Epoch 185/500
614/614 [==============================] - 0s 137us/sample - loss: 1.0535 - y1_output_loss: 0.2144 - y2_output_loss: 0.8323 - y1_output_root_mean_squared_error: 0.4649 - y2_output_root_mean_squared_error: 0.9150 - val_loss: 1.5711 - val_y1_output_loss: 0.3005 - val_y2_output_loss: 1.3175 - val_y1_output_root_mean_squared_error: 0.5529 - val_y2_output_root_mean_squared_error: 1.1249
Epoch 186/500
614/614 [==============================] - 0s 139us/sample - loss: 0.9248 - y1_output_loss: 0.1993 - y2_output_loss: 0.7305 - y1_output_root_mean_squared_error: 0.4463 - y2_output_root_mean_squared_error: 0.8518 - val_loss: 2.1245 - val_y1_output_loss: 0.2778 - val_y2_output_loss: 1.8117 - val_y1_output_root_mean_squared_error: 0.5263 - val_y2_output_root_mean_squared_error: 1.3592
Epoch 187/500
614/614 [==============================] - 0s 139us/sample - loss: 0.8384 - y1_output_loss: 0.2098 - y2_output_loss: 0.6249 - y1_output_root_mean_squared_error: 0.4591 - y2_output_root_mean_squared_error: 0.7922 - val_loss: 1.5147 - val_y1_output_loss: 0.2578 - val_y2_output_loss: 1.3328 - val_y1_output_root_mean_squared_error: 0.5121 - val_y2_output_root_mean_squared_error: 1.1191
Epoch 188/500
614/614 [==============================] - 0s 134us/sample - loss: 1.2114 - y1_output_loss: 0.2604 - y2_output_loss: 0.9472 - y1_output_root_mean_squared_error: 0.5101 - y2_output_root_mean_squared_error: 0.9753 - val_loss: 2.8746 - val_y1_output_loss: 0.8770 - val_y2_output_loss: 1.9952 - val_y1_output_root_mean_squared_error: 0.9540 - val_y2_output_root_mean_squared_error: 1.4016
Epoch 189/500
614/614 [==============================] - 0s 132us/sample - loss: 1.5119 - y1_output_loss: 0.3061 - y2_output_loss: 1.2086 - y1_output_root_mean_squared_error: 0.5548 - y2_output_root_mean_squared_error: 1.0973 - val_loss: 2.0719 - val_y1_output_loss: 0.3670 - val_y2_output_loss: 1.7063 - val_y1_output_root_mean_squared_error: 0.6107 - val_y2_output_root_mean_squared_error: 1.3035
Epoch 190/500
614/614 [==============================] - 0s 139us/sample - loss: 1.2955 - y1_output_loss: 0.2377 - y2_output_loss: 1.0496 - y1_output_root_mean_squared_error: 0.4893 - y2_output_root_mean_squared_error: 1.0276 - val_loss: 1.4606 - val_y1_output_loss: 0.2411 - val_y2_output_loss: 1.2520 - val_y1_output_root_mean_squared_error: 0.4934 - val_y2_output_root_mean_squared_error: 1.1032
Epoch 191/500
614/614 [==============================] - 0s 148us/sample - loss: 1.9403 - y1_output_loss: 0.4806 - y2_output_loss: 1.4580 - y1_output_root_mean_squared_error: 0.6955 - y2_output_root_mean_squared_error: 1.2069 - val_loss: 4.5622 - val_y1_output_loss: 2.0980 - val_y2_output_loss: 2.5131 - val_y1_output_root_mean_squared_error: 1.4665 - val_y2_output_root_mean_squared_error: 1.5529
Epoch 192/500
614/614 [==============================] - 0s 145us/sample - loss: 1.1880 - y1_output_loss: 0.2482 - y2_output_loss: 0.9430 - y1_output_root_mean_squared_error: 0.4983 - y2_output_root_mean_squared_error: 0.9694 - val_loss: 3.0539 - val_y1_output_loss: 0.3319 - val_y2_output_loss: 2.6569 - val_y1_output_root_mean_squared_error: 0.5776 - val_y2_output_root_mean_squared_error: 1.6493
Epoch 193/500
614/614 [==============================] - 0s 138us/sample - loss: 1.1714 - y1_output_loss: 0.2812 - y2_output_loss: 0.9014 - y1_output_root_mean_squared_error: 0.5289 - y2_output_root_mean_squared_error: 0.9442 - val_loss: 8.7674 - val_y1_output_loss: 1.7854 - val_y2_output_loss: 7.0727 - val_y1_output_root_mean_squared_error: 1.3557 - val_y2_output_root_mean_squared_error: 2.6324
Epoch 194/500
614/614 [==============================] - 0s 136us/sample - loss: 1.2400 - y1_output_loss: 0.2799 - y2_output_loss: 0.9600 - y1_output_root_mean_squared_error: 0.5276 - y2_output_root_mean_squared_error: 0.9806 - val_loss: 2.1388 - val_y1_output_loss: 0.5282 - val_y2_output_loss: 1.6234 - val_y1_output_root_mean_squared_error: 0.7385 - val_y2_output_root_mean_squared_error: 1.2623
Epoch 195/500
614/614 [==============================] - 0s 135us/sample - loss: 0.9392 - y1_output_loss: 0.2168 - y2_output_loss: 0.7160 - y1_output_root_mean_squared_error: 0.4677 - y2_output_root_mean_squared_error: 0.8488 - val_loss: 1.8015 - val_y1_output_loss: 0.2954 - val_y2_output_loss: 1.5875 - val_y1_output_root_mean_squared_error: 0.5491 - val_y2_output_root_mean_squared_error: 1.2247
Epoch 196/500
614/614 [==============================] - 0s 141us/sample - loss: 2.4781 - y1_output_loss: 0.7442 - y2_output_loss: 1.7161 - y1_output_root_mean_squared_error: 0.8658 - y2_output_root_mean_squared_error: 1.3147 - val_loss: 2.9055 - val_y1_output_loss: 0.8055 - val_y2_output_loss: 2.0433 - val_y1_output_root_mean_squared_error: 0.9020 - val_y2_output_root_mean_squared_error: 1.4464
Epoch 197/500
614/614 [==============================] - 0s 143us/sample - loss: 0.9635 - y1_output_loss: 0.1928 - y2_output_loss: 0.7642 - y1_output_root_mean_squared_error: 0.4400 - y2_output_root_mean_squared_error: 0.8774 - val_loss: 1.5191 - val_y1_output_loss: 0.2340 - val_y2_output_loss: 1.3603 - val_y1_output_root_mean_squared_error: 0.4880 - val_y2_output_root_mean_squared_error: 1.1318
Epoch 198/500
614/614 [==============================] - 0s 137us/sample - loss: 0.9596 - y1_output_loss: 0.2102 - y2_output_loss: 0.7432 - y1_output_root_mean_squared_error: 0.4590 - y2_output_root_mean_squared_error: 0.8654 - val_loss: 1.9090 - val_y1_output_loss: 0.3303 - val_y2_output_loss: 1.7046 - val_y1_output_root_mean_squared_error: 0.5768 - val_y2_output_root_mean_squared_error: 1.2555
Epoch 199/500
614/614 [==============================] - 0s 138us/sample - loss: 1.0404 - y1_output_loss: 0.2146 - y2_output_loss: 0.8176 - y1_output_root_mean_squared_error: 0.4651 - y2_output_root_mean_squared_error: 0.9078 - val_loss: 1.5402 - val_y1_output_loss: 0.2671 - val_y2_output_loss: 1.3137 - val_y1_output_root_mean_squared_error: 0.5208 - val_y2_output_root_mean_squared_error: 1.1265
Epoch 200/500
614/614 [==============================] - 0s 138us/sample - loss: 1.0421 - y1_output_loss: 0.2590 - y2_output_loss: 0.7785 - y1_output_root_mean_squared_error: 0.5093 - y2_output_root_mean_squared_error: 0.8847 - val_loss: 1.5738 - val_y1_output_loss: 0.2431 - val_y2_output_loss: 1.4079 - val_y1_output_root_mean_squared_error: 0.4973 - val_y2_output_root_mean_squared_error: 1.1517
Epoch 201/500
614/614 [==============================] - 0s 142us/sample - loss: 1.0238 - y1_output_loss: 0.2223 - y2_output_loss: 0.8078 - y1_output_root_mean_squared_error: 0.4668 - y2_output_root_mean_squared_error: 0.8977 - val_loss: 1.9317 - val_y1_output_loss: 0.4479 - val_y2_output_loss: 1.5583 - val_y1_output_root_mean_squared_error: 0.6730 - val_y2_output_root_mean_squared_error: 1.2160
Epoch 202/500
614/614 [==============================] - 0s 137us/sample - loss: 1.1962 - y1_output_loss: 0.2135 - y2_output_loss: 0.9788 - y1_output_root_mean_squared_error: 0.4638 - y2_output_root_mean_squared_error: 0.9905 - val_loss: 1.6755 - val_y1_output_loss: 0.3044 - val_y2_output_loss: 1.4056 - val_y1_output_root_mean_squared_error: 0.5580 - val_y2_output_root_mean_squared_error: 1.1679
Epoch 203/500
614/614 [==============================] - 0s 141us/sample - loss: 1.0615 - y1_output_loss: 0.2107 - y2_output_loss: 0.8679 - y1_output_root_mean_squared_error: 0.4592 - y2_output_root_mean_squared_error: 0.9223 - val_loss: 2.9046 - val_y1_output_loss: 0.3904 - val_y2_output_loss: 2.4719 - val_y1_output_root_mean_squared_error: 0.6333 - val_y2_output_root_mean_squared_error: 1.5822
Epoch 204/500
614/614 [==============================] - 0s 141us/sample - loss: 0.8275 - y1_output_loss: 0.1665 - y2_output_loss: 0.6632 - y1_output_root_mean_squared_error: 0.4096 - y2_output_root_mean_squared_error: 0.8123 - val_loss: 1.4563 - val_y1_output_loss: 0.2699 - val_y2_output_loss: 1.2491 - val_y1_output_root_mean_squared_error: 0.5227 - val_y2_output_root_mean_squared_error: 1.0877
Epoch 205/500
614/614 [==============================] - 0s 142us/sample - loss: 0.9115 - y1_output_loss: 0.2008 - y2_output_loss: 0.7052 - y1_output_root_mean_squared_error: 0.4488 - y2_output_root_mean_squared_error: 0.8426 - val_loss: 1.6093 - val_y1_output_loss: 0.2898 - val_y2_output_loss: 1.4085 - val_y1_output_root_mean_squared_error: 0.5403 - val_y2_output_root_mean_squared_error: 1.1478
Epoch 206/500
614/614 [==============================] - 0s 134us/sample - loss: 0.9182 - y1_output_loss: 0.2210 - y2_output_loss: 0.7038 - y1_output_root_mean_squared_error: 0.4639 - y2_output_root_mean_squared_error: 0.8385 - val_loss: 8.7238 - val_y1_output_loss: 3.6264 - val_y2_output_loss: 5.0661 - val_y1_output_root_mean_squared_error: 1.9308 - val_y2_output_root_mean_squared_error: 2.2351
Epoch 207/500
614/614 [==============================] - 0s 138us/sample - loss: 1.3766 - y1_output_loss: 0.3396 - y2_output_loss: 1.0261 - y1_output_root_mean_squared_error: 0.5846 - y2_output_root_mean_squared_error: 1.0173 - val_loss: 1.9528 - val_y1_output_loss: 0.3715 - val_y2_output_loss: 1.6792 - val_y1_output_root_mean_squared_error: 0.6150 - val_y2_output_root_mean_squared_error: 1.2548
Epoch 208/500
614/614 [==============================] - 0s 139us/sample - loss: 1.0134 - y1_output_loss: 0.1967 - y2_output_loss: 0.8095 - y1_output_root_mean_squared_error: 0.4454 - y2_output_root_mean_squared_error: 0.9028 - val_loss: 1.2833 - val_y1_output_loss: 0.2309 - val_y2_output_loss: 1.0872 - val_y1_output_root_mean_squared_error: 0.4848 - val_y2_output_root_mean_squared_error: 1.0239
Epoch 209/500
614/614 [==============================] - 0s 145us/sample - loss: 1.3199 - y1_output_loss: 0.2965 - y2_output_loss: 1.0250 - y1_output_root_mean_squared_error: 0.5446 - y2_output_root_mean_squared_error: 1.0116 - val_loss: 2.6351 - val_y1_output_loss: 0.4543 - val_y2_output_loss: 2.3459 - val_y1_output_root_mean_squared_error: 0.6780 - val_y2_output_root_mean_squared_error: 1.4749
Epoch 210/500
614/614 [==============================] - 0s 143us/sample - loss: 0.9052 - y1_output_loss: 0.1829 - y2_output_loss: 0.7193 - y1_output_root_mean_squared_error: 0.4276 - y2_output_root_mean_squared_error: 0.8499 - val_loss: 1.3039 - val_y1_output_loss: 0.2385 - val_y2_output_loss: 1.1181 - val_y1_output_root_mean_squared_error: 0.4905 - val_y2_output_root_mean_squared_error: 1.0312
Epoch 211/500
614/614 [==============================] - 0s 144us/sample - loss: 1.0143 - y1_output_loss: 0.2207 - y2_output_loss: 0.7926 - y1_output_root_mean_squared_error: 0.4709 - y2_output_root_mean_squared_error: 0.8903 - val_loss: 1.4191 - val_y1_output_loss: 0.2496 - val_y2_output_loss: 1.1946 - val_y1_output_root_mean_squared_error: 0.5034 - val_y2_output_root_mean_squared_error: 1.0797
Epoch 212/500
614/614 [==============================] - 0s 142us/sample - loss: 1.1308 - y1_output_loss: 0.2469 - y2_output_loss: 0.8861 - y1_output_root_mean_squared_error: 0.4953 - y2_output_root_mean_squared_error: 0.9410 - val_loss: 4.8423 - val_y1_output_loss: 0.6950 - val_y2_output_loss: 4.2266 - val_y1_output_root_mean_squared_error: 0.8468 - val_y2_output_root_mean_squared_error: 2.0311
Epoch 213/500
614/614 [==============================] - 0s 139us/sample - loss: 1.5830 - y1_output_loss: 0.3275 - y2_output_loss: 1.2499 - y1_output_root_mean_squared_error: 0.5740 - y2_output_root_mean_squared_error: 1.1196 - val_loss: 1.8154 - val_y1_output_loss: 0.2145 - val_y2_output_loss: 1.7386 - val_y1_output_root_mean_squared_error: 0.4675 - val_y2_output_root_mean_squared_error: 1.2637
Epoch 214/500
614/614 [==============================] - 0s 158us/sample - loss: 1.2238 - y1_output_loss: 0.2537 - y2_output_loss: 0.9623 - y1_output_root_mean_squared_error: 0.5024 - y2_output_root_mean_squared_error: 0.9856 - val_loss: 1.4395 - val_y1_output_loss: 0.2992 - val_y2_output_loss: 1.1653 - val_y1_output_root_mean_squared_error: 0.5514 - val_y2_output_root_mean_squared_error: 1.0656
Epoch 215/500
614/614 [==============================] - 0s 141us/sample - loss: 0.9880 - y1_output_loss: 0.1848 - y2_output_loss: 0.7985 - y1_output_root_mean_squared_error: 0.4293 - y2_output_root_mean_squared_error: 0.8965 - val_loss: 1.7177 - val_y1_output_loss: 0.2572 - val_y2_output_loss: 1.5343 - val_y1_output_root_mean_squared_error: 0.5099 - val_y2_output_root_mean_squared_error: 1.2073
Epoch 216/500
614/614 [==============================] - 0s 138us/sample - loss: 0.7832 - y1_output_loss: 0.1644 - y2_output_loss: 0.6258 - y1_output_root_mean_squared_error: 0.4071 - y2_output_root_mean_squared_error: 0.7858 - val_loss: 3.5862 - val_y1_output_loss: 0.3409 - val_y2_output_loss: 3.4164 - val_y1_output_root_mean_squared_error: 0.5898 - val_y2_output_root_mean_squared_error: 1.7995
Epoch 217/500
614/614 [==============================] - 0s 137us/sample - loss: 0.9112 - y1_output_loss: 0.1937 - y2_output_loss: 0.7161 - y1_output_root_mean_squared_error: 0.4420 - y2_output_root_mean_squared_error: 0.8461 - val_loss: 1.3667 - val_y1_output_loss: 0.2326 - val_y2_output_loss: 1.2062 - val_y1_output_root_mean_squared_error: 0.4876 - val_y2_output_root_mean_squared_error: 1.0625
Epoch 218/500
614/614 [==============================] - 0s 135us/sample - loss: 0.7983 - y1_output_loss: 0.1809 - y2_output_loss: 0.6165 - y1_output_root_mean_squared_error: 0.4254 - y2_output_root_mean_squared_error: 0.7857 - val_loss: 2.0267 - val_y1_output_loss: 0.4137 - val_y2_output_loss: 1.6025 - val_y1_output_root_mean_squared_error: 0.6521 - val_y2_output_root_mean_squared_error: 1.2655
Epoch 219/500
614/614 [==============================] - 0s 137us/sample - loss: 0.9920 - y1_output_loss: 0.2178 - y2_output_loss: 0.7667 - y1_output_root_mean_squared_error: 0.4683 - y2_output_root_mean_squared_error: 0.8790 - val_loss: 1.5280 - val_y1_output_loss: 0.2291 - val_y2_output_loss: 1.4112 - val_y1_output_root_mean_squared_error: 0.4808 - val_y2_output_root_mean_squared_error: 1.1388
Epoch 220/500
614/614 [==============================] - 0s 140us/sample - loss: 0.7594 - y1_output_loss: 0.1770 - y2_output_loss: 0.5787 - y1_output_root_mean_squared_error: 0.4224 - y2_output_root_mean_squared_error: 0.7622 - val_loss: 1.8543 - val_y1_output_loss: 0.4892 - val_y2_output_loss: 1.4521 - val_y1_output_root_mean_squared_error: 0.7015 - val_y2_output_root_mean_squared_error: 1.1672
Epoch 221/500
614/614 [==============================] - 0s 139us/sample - loss: 0.8637 - y1_output_loss: 0.1846 - y2_output_loss: 0.6942 - y1_output_root_mean_squared_error: 0.4265 - y2_output_root_mean_squared_error: 0.8257 - val_loss: 3.8099 - val_y1_output_loss: 0.6312 - val_y2_output_loss: 3.1010 - val_y1_output_root_mean_squared_error: 0.8023 - val_y2_output_root_mean_squared_error: 1.7794
Epoch 222/500
614/614 [==============================] - 0s 146us/sample - loss: 0.9594 - y1_output_loss: 0.2087 - y2_output_loss: 0.7551 - y1_output_root_mean_squared_error: 0.4545 - y2_output_root_mean_squared_error: 0.8676 - val_loss: 3.5844 - val_y1_output_loss: 1.1791 - val_y2_output_loss: 2.4185 - val_y1_output_root_mean_squared_error: 1.1055 - val_y2_output_root_mean_squared_error: 1.5370
Epoch 223/500
614/614 [==============================] - 0s 142us/sample - loss: 1.7041 - y1_output_loss: 0.3378 - y2_output_loss: 1.3541 - y1_output_root_mean_squared_error: 0.5834 - y2_output_root_mean_squared_error: 1.1678 - val_loss: 1.2164 - val_y1_output_loss: 0.2398 - val_y2_output_loss: 1.0192 - val_y1_output_root_mean_squared_error: 0.4926 - val_y2_output_root_mean_squared_error: 0.9868
Epoch 224/500
614/614 [==============================] - 0s 170us/sample - loss: 0.9367 - y1_output_loss: 0.1828 - y2_output_loss: 0.7515 - y1_output_root_mean_squared_error: 0.4284 - y2_output_root_mean_squared_error: 0.8678 - val_loss: 1.2813 - val_y1_output_loss: 0.2358 - val_y2_output_loss: 1.1242 - val_y1_output_root_mean_squared_error: 0.4855 - val_y2_output_root_mean_squared_error: 1.0225
Epoch 225/500
614/614 [==============================] - 0s 161us/sample - loss: 1.4498 - y1_output_loss: 0.3586 - y2_output_loss: 1.0843 - y1_output_root_mean_squared_error: 0.6002 - y2_output_root_mean_squared_error: 1.0438 - val_loss: 1.9774 - val_y1_output_loss: 0.4116 - val_y2_output_loss: 1.5437 - val_y1_output_root_mean_squared_error: 0.6407 - val_y2_output_root_mean_squared_error: 1.2518
Epoch 226/500
614/614 [==============================] - 0s 140us/sample - loss: 0.8335 - y1_output_loss: 0.1996 - y2_output_loss: 0.6291 - y1_output_root_mean_squared_error: 0.4454 - y2_output_root_mean_squared_error: 0.7970 - val_loss: 1.4210 - val_y1_output_loss: 0.2717 - val_y2_output_loss: 1.1706 - val_y1_output_root_mean_squared_error: 0.5250 - val_y2_output_root_mean_squared_error: 1.0703
Epoch 227/500
614/614 [==============================] - 0s 139us/sample - loss: 0.7025 - y1_output_loss: 0.1570 - y2_output_loss: 0.5398 - y1_output_root_mean_squared_error: 0.3978 - y2_output_root_mean_squared_error: 0.7378 - val_loss: 1.3039 - val_y1_output_loss: 0.2241 - val_y2_output_loss: 1.1527 - val_y1_output_root_mean_squared_error: 0.4776 - val_y2_output_root_mean_squared_error: 1.0372
Epoch 228/500
614/614 [==============================] - 0s 136us/sample - loss: 0.7862 - y1_output_loss: 0.1752 - y2_output_loss: 0.6056 - y1_output_root_mean_squared_error: 0.4185 - y2_output_root_mean_squared_error: 0.7817 - val_loss: 1.4637 - val_y1_output_loss: 0.3080 - val_y2_output_loss: 1.1860 - val_y1_output_root_mean_squared_error: 0.5582 - val_y2_output_root_mean_squared_error: 1.0734
Epoch 229/500
614/614 [==============================] - 0s 138us/sample - loss: 0.9769 - y1_output_loss: 0.2022 - y2_output_loss: 0.7687 - y1_output_root_mean_squared_error: 0.4509 - y2_output_root_mean_squared_error: 0.8795 - val_loss: 1.6209 - val_y1_output_loss: 0.2467 - val_y2_output_loss: 1.3785 - val_y1_output_root_mean_squared_error: 0.4988 - val_y2_output_root_mean_squared_error: 1.1714
Epoch 230/500
614/614 [==============================] - 0s 137us/sample - loss: 0.7538 - y1_output_loss: 0.2063 - y2_output_loss: 0.5455 - y1_output_root_mean_squared_error: 0.4529 - y2_output_root_mean_squared_error: 0.7407 - val_loss: 1.2528 - val_y1_output_loss: 0.2398 - val_y2_output_loss: 1.0752 - val_y1_output_root_mean_squared_error: 0.4932 - val_y2_output_root_mean_squared_error: 1.0048
Epoch 231/500
614/614 [==============================] - 0s 219us/sample - loss: 0.8245 - y1_output_loss: 0.1966 - y2_output_loss: 0.6316 - y1_output_root_mean_squared_error: 0.4425 - y2_output_root_mean_squared_error: 0.7929 - val_loss: 4.3798 - val_y1_output_loss: 0.5661 - val_y2_output_loss: 3.7203 - val_y1_output_root_mean_squared_error: 0.7571 - val_y2_output_root_mean_squared_error: 1.9510
Epoch 232/500
614/614 [==============================] - 0s 142us/sample - loss: 0.9243 - y1_output_loss: 0.1886 - y2_output_loss: 0.7328 - y1_output_root_mean_squared_error: 0.4341 - y2_output_root_mean_squared_error: 0.8578 - val_loss: 1.5336 - val_y1_output_loss: 0.2872 - val_y2_output_loss: 1.2635 - val_y1_output_root_mean_squared_error: 0.5386 - val_y2_output_root_mean_squared_error: 1.1152
Epoch 233/500
614/614 [==============================] - 0s 137us/sample - loss: 0.8893 - y1_output_loss: 0.1881 - y2_output_loss: 0.7118 - y1_output_root_mean_squared_error: 0.4343 - y2_output_root_mean_squared_error: 0.8371 - val_loss: 1.3586 - val_y1_output_loss: 0.2893 - val_y2_output_loss: 1.1334 - val_y1_output_root_mean_squared_error: 0.5398 - val_y2_output_root_mean_squared_error: 1.0330
Epoch 234/500
614/614 [==============================] - 0s 139us/sample - loss: 0.8096 - y1_output_loss: 0.1880 - y2_output_loss: 0.6144 - y1_output_root_mean_squared_error: 0.4353 - y2_output_root_mean_squared_error: 0.7875 - val_loss: 1.2176 - val_y1_output_loss: 0.2091 - val_y2_output_loss: 1.0608 - val_y1_output_root_mean_squared_error: 0.4611 - val_y2_output_root_mean_squared_error: 1.0025
Epoch 235/500
614/614 [==============================] - 0s 135us/sample - loss: 0.8428 - y1_output_loss: 0.2044 - y2_output_loss: 0.6380 - y1_output_root_mean_squared_error: 0.4528 - y2_output_root_mean_squared_error: 0.7986 - val_loss: 1.8013 - val_y1_output_loss: 0.2968 - val_y2_output_loss: 1.6312 - val_y1_output_root_mean_squared_error: 0.5481 - val_y2_output_root_mean_squared_error: 1.2251
Epoch 236/500
614/614 [==============================] - 0s 135us/sample - loss: 0.9748 - y1_output_loss: 0.2159 - y2_output_loss: 0.7698 - y1_output_root_mean_squared_error: 0.4633 - y2_output_root_mean_squared_error: 0.8719 - val_loss: 4.3048 - val_y1_output_loss: 0.5606 - val_y2_output_loss: 3.6556 - val_y1_output_root_mean_squared_error: 0.7542 - val_y2_output_root_mean_squared_error: 1.9329
Epoch 237/500
614/614 [==============================] - 0s 145us/sample - loss: 1.0114 - y1_output_loss: 0.1796 - y2_output_loss: 0.8275 - y1_output_root_mean_squared_error: 0.4234 - y2_output_root_mean_squared_error: 0.9122 - val_loss: 1.3606 - val_y1_output_loss: 0.2100 - val_y2_output_loss: 1.1516 - val_y1_output_root_mean_squared_error: 0.4614 - val_y2_output_root_mean_squared_error: 1.0713
Epoch 238/500
614/614 [==============================] - 0s 141us/sample - loss: 1.1532 - y1_output_loss: 0.2779 - y2_output_loss: 0.8656 - y1_output_root_mean_squared_error: 0.5286 - y2_output_root_mean_squared_error: 0.9348 - val_loss: 1.2909 - val_y1_output_loss: 0.2469 - val_y2_output_loss: 1.0698 - val_y1_output_root_mean_squared_error: 0.5022 - val_y2_output_root_mean_squared_error: 1.0192
Epoch 239/500
614/614 [==============================] - 0s 141us/sample - loss: 1.0463 - y1_output_loss: 0.2481 - y2_output_loss: 0.7898 - y1_output_root_mean_squared_error: 0.5002 - y2_output_root_mean_squared_error: 0.8923 - val_loss: 1.2073 - val_y1_output_loss: 0.2323 - val_y2_output_loss: 1.0421 - val_y1_output_root_mean_squared_error: 0.4862 - val_y2_output_root_mean_squared_error: 0.9854
Epoch 240/500
614/614 [==============================] - 0s 153us/sample - loss: 0.8469 - y1_output_loss: 0.1828 - y2_output_loss: 0.6632 - y1_output_root_mean_squared_error: 0.4288 - y2_output_root_mean_squared_error: 0.8143 - val_loss: 1.6650 - val_y1_output_loss: 0.3964 - val_y2_output_loss: 1.3125 - val_y1_output_root_mean_squared_error: 0.6360 - val_y2_output_root_mean_squared_error: 1.1227
Epoch 241/500
614/614 [==============================] - 0s 144us/sample - loss: 0.7911 - y1_output_loss: 0.1807 - y2_output_loss: 0.6178 - y1_output_root_mean_squared_error: 0.4265 - y2_output_root_mean_squared_error: 0.7805 - val_loss: 1.4736 - val_y1_output_loss: 0.2826 - val_y2_output_loss: 1.1866 - val_y1_output_root_mean_squared_error: 0.5344 - val_y2_output_root_mean_squared_error: 1.0900
Epoch 242/500
614/614 [==============================] - 0s 141us/sample - loss: 0.8063 - y1_output_loss: 0.1830 - y2_output_loss: 0.6196 - y1_output_root_mean_squared_error: 0.4271 - y2_output_root_mean_squared_error: 0.7899 - val_loss: 1.3458 - val_y1_output_loss: 0.2202 - val_y2_output_loss: 1.1403 - val_y1_output_root_mean_squared_error: 0.4749 - val_y2_output_root_mean_squared_error: 1.0584
Epoch 243/500
614/614 [==============================] - 0s 143us/sample - loss: 0.6177 - y1_output_loss: 0.1405 - y2_output_loss: 0.4733 - y1_output_root_mean_squared_error: 0.3760 - y2_output_root_mean_squared_error: 0.6902 - val_loss: 1.6537 - val_y1_output_loss: 0.2455 - val_y2_output_loss: 1.5262 - val_y1_output_root_mean_squared_error: 0.4998 - val_y2_output_root_mean_squared_error: 1.1848
Epoch 244/500
614/614 [==============================] - 0s 141us/sample - loss: 1.0112 - y1_output_loss: 0.1934 - y2_output_loss: 0.8111 - y1_output_root_mean_squared_error: 0.4409 - y2_output_root_mean_squared_error: 0.9038 - val_loss: 2.2844 - val_y1_output_loss: 0.3651 - val_y2_output_loss: 2.0539 - val_y1_output_root_mean_squared_error: 0.6125 - val_y2_output_root_mean_squared_error: 1.3818
Epoch 245/500
614/614 [==============================] - 0s 139us/sample - loss: 1.1251 - y1_output_loss: 0.2040 - y2_output_loss: 0.9114 - y1_output_root_mean_squared_error: 0.4535 - y2_output_root_mean_squared_error: 0.9589 - val_loss: 1.1958 - val_y1_output_loss: 0.2199 - val_y2_output_loss: 1.0376 - val_y1_output_root_mean_squared_error: 0.4754 - val_y2_output_root_mean_squared_error: 0.9848
Epoch 246/500
614/614 [==============================] - 0s 144us/sample - loss: 0.7671 - y1_output_loss: 0.1672 - y2_output_loss: 0.5957 - y1_output_root_mean_squared_error: 0.4101 - y2_output_root_mean_squared_error: 0.7739 - val_loss: 1.3400 - val_y1_output_loss: 0.2818 - val_y2_output_loss: 1.0917 - val_y1_output_root_mean_squared_error: 0.5374 - val_y2_output_root_mean_squared_error: 1.0253
Epoch 247/500
614/614 [==============================] - 0s 136us/sample - loss: 0.7920 - y1_output_loss: 0.1948 - y2_output_loss: 0.5949 - y1_output_root_mean_squared_error: 0.4430 - y2_output_root_mean_squared_error: 0.7718 - val_loss: 1.3285 - val_y1_output_loss: 0.2103 - val_y2_output_loss: 1.1358 - val_y1_output_root_mean_squared_error: 0.4628 - val_y2_output_root_mean_squared_error: 1.0556
Epoch 248/500
614/614 [==============================] - 0s 140us/sample - loss: 0.8345 - y1_output_loss: 0.1845 - y2_output_loss: 0.6431 - y1_output_root_mean_squared_error: 0.4314 - y2_output_root_mean_squared_error: 0.8052 - val_loss: 1.2283 - val_y1_output_loss: 0.2434 - val_y2_output_loss: 1.0530 - val_y1_output_root_mean_squared_error: 0.5008 - val_y2_output_root_mean_squared_error: 0.9887
Epoch 249/500
614/614 [==============================] - 0s 142us/sample - loss: 0.6879 - y1_output_loss: 0.1546 - y2_output_loss: 0.5272 - y1_output_root_mean_squared_error: 0.3948 - y2_output_root_mean_squared_error: 0.7294 - val_loss: 1.2217 - val_y1_output_loss: 0.2099 - val_y2_output_loss: 1.0916 - val_y1_output_root_mean_squared_error: 0.4625 - val_y2_output_root_mean_squared_error: 1.0039
Epoch 250/500
614/614 [==============================] - 0s 137us/sample - loss: 0.8164 - y1_output_loss: 0.1811 - y2_output_loss: 0.6325 - y1_output_root_mean_squared_error: 0.4250 - y2_output_root_mean_squared_error: 0.7973 - val_loss: 2.2141 - val_y1_output_loss: 0.4253 - val_y2_output_loss: 1.7607 - val_y1_output_root_mean_squared_error: 0.6592 - val_y2_output_root_mean_squared_error: 1.3340
Epoch 251/500
614/614 [==============================] - 0s 142us/sample - loss: 0.8596 - y1_output_loss: 0.1837 - y2_output_loss: 0.6740 - y1_output_root_mean_squared_error: 0.4277 - y2_output_root_mean_squared_error: 0.8226 - val_loss: 2.4042 - val_y1_output_loss: 0.4089 - val_y2_output_loss: 1.9523 - val_y1_output_root_mean_squared_error: 0.6445 - val_y2_output_root_mean_squared_error: 1.4103
Epoch 252/500
614/614 [==============================] - 0s 139us/sample - loss: 0.8865 - y1_output_loss: 0.1966 - y2_output_loss: 0.6857 - y1_output_root_mean_squared_error: 0.4444 - y2_output_root_mean_squared_error: 0.8301 - val_loss: 1.2472 - val_y1_output_loss: 0.2579 - val_y2_output_loss: 1.0144 - val_y1_output_root_mean_squared_error: 0.5134 - val_y2_output_root_mean_squared_error: 0.9917
Epoch 253/500
614/614 [==============================] - 0s 141us/sample - loss: 0.8787 - y1_output_loss: 0.1833 - y2_output_loss: 0.6906 - y1_output_root_mean_squared_error: 0.4298 - y2_output_root_mean_squared_error: 0.8331 - val_loss: 1.5777 - val_y1_output_loss: 0.2950 - val_y2_output_loss: 1.3786 - val_y1_output_root_mean_squared_error: 0.5477 - val_y2_output_root_mean_squared_error: 1.1303
Epoch 254/500
614/614 [==============================] - 0s 140us/sample - loss: 1.0520 - y1_output_loss: 0.2301 - y2_output_loss: 0.8210 - y1_output_root_mean_squared_error: 0.4814 - y2_output_root_mean_squared_error: 0.9057 - val_loss: 1.5469 - val_y1_output_loss: 0.3565 - val_y2_output_loss: 1.2196 - val_y1_output_root_mean_squared_error: 0.6031 - val_y2_output_root_mean_squared_error: 1.0878
Epoch 255/500
614/614 [==============================] - 0s 145us/sample - loss: 0.8641 - y1_output_loss: 0.2066 - y2_output_loss: 0.6559 - y1_output_root_mean_squared_error: 0.4547 - y2_output_root_mean_squared_error: 0.8108 - val_loss: 1.5830 - val_y1_output_loss: 0.4115 - val_y2_output_loss: 1.1917 - val_y1_output_root_mean_squared_error: 0.6487 - val_y2_output_root_mean_squared_error: 1.0780
Epoch 256/500
614/614 [==============================] - 0s 138us/sample - loss: 0.7671 - y1_output_loss: 0.1788 - y2_output_loss: 0.5840 - y1_output_root_mean_squared_error: 0.4246 - y2_output_root_mean_squared_error: 0.7660 - val_loss: 1.4261 - val_y1_output_loss: 0.2682 - val_y2_output_loss: 1.2359 - val_y1_output_root_mean_squared_error: 0.5230 - val_y2_output_root_mean_squared_error: 1.0736
Epoch 257/500
614/614 [==============================] - 0s 137us/sample - loss: 0.6704 - y1_output_loss: 0.1449 - y2_output_loss: 0.5206 - y1_output_root_mean_squared_error: 0.3816 - y2_output_root_mean_squared_error: 0.7244 - val_loss: 1.3712 - val_y1_output_loss: 0.2500 - val_y2_output_loss: 1.1461 - val_y1_output_root_mean_squared_error: 0.5040 - val_y2_output_root_mean_squared_error: 1.0570
Epoch 258/500
614/614 [==============================] - 0s 138us/sample - loss: 1.6665 - y1_output_loss: 0.4107 - y2_output_loss: 1.2533 - y1_output_root_mean_squared_error: 0.6435 - y2_output_root_mean_squared_error: 1.1191 - val_loss: 1.7403 - val_y1_output_loss: 0.3702 - val_y2_output_loss: 1.3749 - val_y1_output_root_mean_squared_error: 0.6133 - val_y2_output_root_mean_squared_error: 1.1680
Epoch 259/500
614/614 [==============================] - 0s 147us/sample - loss: 0.7178 - y1_output_loss: 0.1699 - y2_output_loss: 0.5419 - y1_output_root_mean_squared_error: 0.4137 - y2_output_root_mean_squared_error: 0.7394 - val_loss: 1.3893 - val_y1_output_loss: 0.3509 - val_y2_output_loss: 1.0796 - val_y1_output_root_mean_squared_error: 0.5996 - val_y2_output_root_mean_squared_error: 1.0148
Epoch 260/500
614/614 [==============================] - 0s 140us/sample - loss: 1.1479 - y1_output_loss: 0.2841 - y2_output_loss: 0.8618 - y1_output_root_mean_squared_error: 0.5350 - y2_output_root_mean_squared_error: 0.9283 - val_loss: 1.3348 - val_y1_output_loss: 0.2526 - val_y2_output_loss: 1.1536 - val_y1_output_root_mean_squared_error: 0.5057 - val_y2_output_root_mean_squared_error: 1.0387
Epoch 261/500
614/614 [==============================] - 0s 140us/sample - loss: 0.7528 - y1_output_loss: 0.1550 - y2_output_loss: 0.5926 - y1_output_root_mean_squared_error: 0.3951 - y2_output_root_mean_squared_error: 0.7724 - val_loss: 1.3425 - val_y1_output_loss: 0.2911 - val_y2_output_loss: 1.0663 - val_y1_output_root_mean_squared_error: 0.5448 - val_y2_output_root_mean_squared_error: 1.0226
Epoch 262/500
614/614 [==============================] - 0s 133us/sample - loss: 0.6514 - y1_output_loss: 0.1736 - y2_output_loss: 0.4773 - y1_output_root_mean_squared_error: 0.4161 - y2_output_root_mean_squared_error: 0.6915 - val_loss: 1.1730 - val_y1_output_loss: 0.2227 - val_y2_output_loss: 1.0164 - val_y1_output_root_mean_squared_error: 0.4759 - val_y2_output_root_mean_squared_error: 0.9729
Epoch 263/500
614/614 [==============================] - 0s 138us/sample - loss: 0.7074 - y1_output_loss: 0.1616 - y2_output_loss: 0.5435 - y1_output_root_mean_squared_error: 0.4036 - y2_output_root_mean_squared_error: 0.7379 - val_loss: 1.7334 - val_y1_output_loss: 0.2446 - val_y2_output_loss: 1.4596 - val_y1_output_root_mean_squared_error: 0.4999 - val_y2_output_root_mean_squared_error: 1.2180
Epoch 264/500
614/614 [==============================] - 0s 135us/sample - loss: 0.9416 - y1_output_loss: 0.2384 - y2_output_loss: 0.7006 - y1_output_root_mean_squared_error: 0.4903 - y2_output_root_mean_squared_error: 0.8374 - val_loss: 1.2892 - val_y1_output_loss: 0.2512 - val_y2_output_loss: 1.0573 - val_y1_output_root_mean_squared_error: 0.5091 - val_y2_output_root_mean_squared_error: 1.0149
Epoch 265/500
614/614 [==============================] - 0s 136us/sample - loss: 0.6508 - y1_output_loss: 0.1687 - y2_output_loss: 0.4871 - y1_output_root_mean_squared_error: 0.4113 - y2_output_root_mean_squared_error: 0.6940 - val_loss: 4.2139 - val_y1_output_loss: 1.0178 - val_y2_output_loss: 3.0833 - val_y1_output_root_mean_squared_error: 1.0235 - val_y2_output_root_mean_squared_error: 1.7794
Epoch 266/500
614/614 [==============================] - 0s 136us/sample - loss: 0.9581 - y1_output_loss: 0.2087 - y2_output_loss: 0.7485 - y1_output_root_mean_squared_error: 0.4580 - y2_output_root_mean_squared_error: 0.8651 - val_loss: 1.4308 - val_y1_output_loss: 0.4354 - val_y2_output_loss: 1.0699 - val_y1_output_root_mean_squared_error: 0.6670 - val_y2_output_root_mean_squared_error: 0.9929
Epoch 267/500
614/614 [==============================] - 0s 139us/sample - loss: 0.9591 - y1_output_loss: 0.2132 - y2_output_loss: 0.7384 - y1_output_root_mean_squared_error: 0.4626 - y2_output_root_mean_squared_error: 0.8632 - val_loss: 1.2575 - val_y1_output_loss: 0.2853 - val_y2_output_loss: 1.0111 - val_y1_output_root_mean_squared_error: 0.5400 - val_y2_output_root_mean_squared_error: 0.9828
Epoch 268/500
614/614 [==============================] - 0s 136us/sample - loss: 0.5805 - y1_output_loss: 0.1472 - y2_output_loss: 0.4306 - y1_output_root_mean_squared_error: 0.3851 - y2_output_root_mean_squared_error: 0.6574 - val_loss: 1.2718 - val_y1_output_loss: 0.2516 - val_y2_output_loss: 1.0490 - val_y1_output_root_mean_squared_error: 0.5069 - val_y2_output_root_mean_squared_error: 1.0074
Epoch 269/500
614/614 [==============================] - 0s 138us/sample - loss: 0.6684 - y1_output_loss: 0.1530 - y2_output_loss: 0.5101 - y1_output_root_mean_squared_error: 0.3925 - y2_output_root_mean_squared_error: 0.7172 - val_loss: 1.4002 - val_y1_output_loss: 0.2720 - val_y2_output_loss: 1.2226 - val_y1_output_root_mean_squared_error: 0.5275 - val_y2_output_root_mean_squared_error: 1.0593
Epoch 270/500
614/614 [==============================] - 0s 133us/sample - loss: 0.6684 - y1_output_loss: 0.1552 - y2_output_loss: 0.5148 - y1_output_root_mean_squared_error: 0.3908 - y2_output_root_mean_squared_error: 0.7181 - val_loss: 1.4004 - val_y1_output_loss: 0.2561 - val_y2_output_loss: 1.1479 - val_y1_output_root_mean_squared_error: 0.5120 - val_y2_output_root_mean_squared_error: 1.0669
Epoch 271/500
614/614 [==============================] - 0s 140us/sample - loss: 0.8616 - y1_output_loss: 0.2005 - y2_output_loss: 0.6533 - y1_output_root_mean_squared_error: 0.4497 - y2_output_root_mean_squared_error: 0.8121 - val_loss: 1.1180 - val_y1_output_loss: 0.2059 - val_y2_output_loss: 0.9700 - val_y1_output_root_mean_squared_error: 0.4592 - val_y2_output_root_mean_squared_error: 0.9525
Epoch 272/500
614/614 [==============================] - 0s 136us/sample - loss: 0.6783 - y1_output_loss: 0.1645 - y2_output_loss: 0.5088 - y1_output_root_mean_squared_error: 0.4065 - y2_output_root_mean_squared_error: 0.7163 - val_loss: 1.0909 - val_y1_output_loss: 0.1922 - val_y2_output_loss: 0.9815 - val_y1_output_root_mean_squared_error: 0.4441 - val_y2_output_root_mean_squared_error: 0.9454
Epoch 273/500
614/614 [==============================] - 0s 134us/sample - loss: 0.6343 - y1_output_loss: 0.1576 - y2_output_loss: 0.4725 - y1_output_root_mean_squared_error: 0.3975 - y2_output_root_mean_squared_error: 0.6901 - val_loss: 1.2869 - val_y1_output_loss: 0.3548 - val_y2_output_loss: 0.9781 - val_y1_output_root_mean_squared_error: 0.6035 - val_y2_output_root_mean_squared_error: 0.9606
Epoch 274/500
614/614 [==============================] - 0s 139us/sample - loss: 0.6842 - y1_output_loss: 0.1647 - y2_output_loss: 0.5155 - y1_output_root_mean_squared_error: 0.4072 - y2_output_root_mean_squared_error: 0.7200 - val_loss: 1.3576 - val_y1_output_loss: 0.2692 - val_y2_output_loss: 1.1038 - val_y1_output_root_mean_squared_error: 0.5245 - val_y2_output_root_mean_squared_error: 1.0405
Epoch 275/500
614/614 [==============================] - 0s 143us/sample - loss: 0.7110 - y1_output_loss: 0.1559 - y2_output_loss: 0.5499 - y1_output_root_mean_squared_error: 0.3960 - y2_output_root_mean_squared_error: 0.7444 - val_loss: 1.2525 - val_y1_output_loss: 0.2616 - val_y2_output_loss: 1.0174 - val_y1_output_root_mean_squared_error: 0.5171 - val_y2_output_root_mean_squared_error: 0.9925
Epoch 276/500
614/614 [==============================] - 0s 137us/sample - loss: 0.6499 - y1_output_loss: 0.1584 - y2_output_loss: 0.4864 - y1_output_root_mean_squared_error: 0.3993 - y2_output_root_mean_squared_error: 0.7003 - val_loss: 1.6916 - val_y1_output_loss: 0.2552 - val_y2_output_loss: 1.4135 - val_y1_output_root_mean_squared_error: 0.5104 - val_y2_output_root_mean_squared_error: 1.1963
Epoch 277/500
614/614 [==============================] - 0s 138us/sample - loss: 0.8535 - y1_output_loss: 0.1910 - y2_output_loss: 0.6585 - y1_output_root_mean_squared_error: 0.4374 - y2_output_root_mean_squared_error: 0.8137 - val_loss: 1.1039 - val_y1_output_loss: 0.2096 - val_y2_output_loss: 0.9717 - val_y1_output_root_mean_squared_error: 0.4635 - val_y2_output_root_mean_squared_error: 0.9429
Epoch 278/500
614/614 [==============================] - 0s 137us/sample - loss: 0.6828 - y1_output_loss: 0.1595 - y2_output_loss: 0.5260 - y1_output_root_mean_squared_error: 0.4005 - y2_output_root_mean_squared_error: 0.7228 - val_loss: 2.2550 - val_y1_output_loss: 0.3253 - val_y2_output_loss: 2.0675 - val_y1_output_root_mean_squared_error: 0.5771 - val_y2_output_root_mean_squared_error: 1.3863
Epoch 279/500
614/614 [==============================] - 0s 141us/sample - loss: 0.7757 - y1_output_loss: 0.1601 - y2_output_loss: 0.6120 - y1_output_root_mean_squared_error: 0.4003 - y2_output_root_mean_squared_error: 0.7845 - val_loss: 1.1002 - val_y1_output_loss: 0.2441 - val_y2_output_loss: 0.9055 - val_y1_output_root_mean_squared_error: 0.5002 - val_y2_output_root_mean_squared_error: 0.9220
Epoch 280/500
614/614 [==============================] - 0s 138us/sample - loss: 0.5450 - y1_output_loss: 0.1339 - y2_output_loss: 0.4278 - y1_output_root_mean_squared_error: 0.3667 - y2_output_root_mean_squared_error: 0.6408 - val_loss: 3.2701 - val_y1_output_loss: 0.2888 - val_y2_output_loss: 3.1470 - val_y1_output_root_mean_squared_error: 0.5423 - val_y2_output_root_mean_squared_error: 1.7251
Epoch 281/500
614/614 [==============================] - 0s 137us/sample - loss: 0.6694 - y1_output_loss: 0.1507 - y2_output_loss: 0.5165 - y1_output_root_mean_squared_error: 0.3885 - y2_output_root_mean_squared_error: 0.7200 - val_loss: 1.6727 - val_y1_output_loss: 0.3057 - val_y2_output_loss: 1.5039 - val_y1_output_root_mean_squared_error: 0.5555 - val_y2_output_root_mean_squared_error: 1.1679
Epoch 282/500
614/614 [==============================] - 0s 133us/sample - loss: 0.6674 - y1_output_loss: 0.1573 - y2_output_loss: 0.5194 - y1_output_root_mean_squared_error: 0.3967 - y2_output_root_mean_squared_error: 0.7142 - val_loss: 3.1958 - val_y1_output_loss: 0.3759 - val_y2_output_loss: 2.9534 - val_y1_output_root_mean_squared_error: 0.6208 - val_y2_output_root_mean_squared_error: 1.6764
Epoch 283/500
614/614 [==============================] - 0s 137us/sample - loss: 0.6737 - y1_output_loss: 0.1575 - y2_output_loss: 0.5127 - y1_output_root_mean_squared_error: 0.3976 - y2_output_root_mean_squared_error: 0.7181 - val_loss: 1.4848 - val_y1_output_loss: 0.2361 - val_y2_output_loss: 1.3707 - val_y1_output_root_mean_squared_error: 0.4894 - val_y2_output_root_mean_squared_error: 1.1159
Epoch 284/500
614/614 [==============================] - 0s 141us/sample - loss: 0.6583 - y1_output_loss: 0.1529 - y2_output_loss: 0.5004 - y1_output_root_mean_squared_error: 0.3928 - y2_output_root_mean_squared_error: 0.7100 - val_loss: 1.4140 - val_y1_output_loss: 0.2451 - val_y2_output_loss: 1.2691 - val_y1_output_root_mean_squared_error: 0.5015 - val_y2_output_root_mean_squared_error: 1.0782
Epoch 285/500
614/614 [==============================] - 0s 141us/sample - loss: 0.7013 - y1_output_loss: 0.1694 - y2_output_loss: 0.5307 - y1_output_root_mean_squared_error: 0.4113 - y2_output_root_mean_squared_error: 0.7295 - val_loss: 1.1265 - val_y1_output_loss: 0.2682 - val_y2_output_loss: 0.9106 - val_y1_output_root_mean_squared_error: 0.5233 - val_y2_output_root_mean_squared_error: 0.9234
Epoch 286/500
614/614 [==============================] - 0s 138us/sample - loss: 0.5995 - y1_output_loss: 0.1510 - y2_output_loss: 0.4469 - y1_output_root_mean_squared_error: 0.3901 - y2_output_root_mean_squared_error: 0.6689 - val_loss: 1.2286 - val_y1_output_loss: 0.2209 - val_y2_output_loss: 1.0274 - val_y1_output_root_mean_squared_error: 0.4757 - val_y2_output_root_mean_squared_error: 1.0011
Epoch 287/500
614/614 [==============================] - 0s 139us/sample - loss: 0.6878 - y1_output_loss: 0.1827 - y2_output_loss: 0.5216 - y1_output_root_mean_squared_error: 0.4062 - y2_output_root_mean_squared_error: 0.7231 - val_loss: 3.0995 - val_y1_output_loss: 1.0355 - val_y2_output_loss: 2.0381 - val_y1_output_root_mean_squared_error: 1.0316 - val_y2_output_root_mean_squared_error: 1.4266
Epoch 288/500
614/614 [==============================] - 0s 148us/sample - loss: 0.6438 - y1_output_loss: 0.1588 - y2_output_loss: 0.4865 - y1_output_root_mean_squared_error: 0.3971 - y2_output_root_mean_squared_error: 0.6972 - val_loss: 1.6967 - val_y1_output_loss: 0.3289 - val_y2_output_loss: 1.4508 - val_y1_output_root_mean_squared_error: 0.5785 - val_y2_output_root_mean_squared_error: 1.1671
Epoch 289/500
614/614 [==============================] - 0s 138us/sample - loss: 0.6045 - y1_output_loss: 0.1352 - y2_output_loss: 0.4674 - y1_output_root_mean_squared_error: 0.3687 - y2_output_root_mean_squared_error: 0.6845 - val_loss: 1.5716 - val_y1_output_loss: 0.3071 - val_y2_output_loss: 1.3865 - val_y1_output_root_mean_squared_error: 0.5571 - val_y2_output_root_mean_squared_error: 1.1230
Epoch 290/500
614/614 [==============================] - 0s 132us/sample - loss: 0.9301 - y1_output_loss: 0.1821 - y2_output_loss: 0.7544 - y1_output_root_mean_squared_error: 0.4242 - y2_output_root_mean_squared_error: 0.8661 - val_loss: 4.4792 - val_y1_output_loss: 1.0076 - val_y2_output_loss: 3.3443 - val_y1_output_root_mean_squared_error: 1.0151 - val_y2_output_root_mean_squared_error: 1.8571
Epoch 291/500
614/614 [==============================] - 0s 138us/sample - loss: 1.3054 - y1_output_loss: 0.2822 - y2_output_loss: 1.0164 - y1_output_root_mean_squared_error: 0.5319 - y2_output_root_mean_squared_error: 1.0112 - val_loss: 1.2961 - val_y1_output_loss: 0.2765 - val_y2_output_loss: 1.0464 - val_y1_output_root_mean_squared_error: 0.5325 - val_y2_output_root_mean_squared_error: 1.0063
Epoch 292/500
614/614 [==============================] - 0s 136us/sample - loss: 0.8381 - y1_output_loss: 0.1856 - y2_output_loss: 0.6492 - y1_output_root_mean_squared_error: 0.4314 - y2_output_root_mean_squared_error: 0.8074 - val_loss: 1.1194 - val_y1_output_loss: 0.2367 - val_y2_output_loss: 0.9126 - val_y1_output_root_mean_squared_error: 0.4935 - val_y2_output_root_mean_squared_error: 0.9359
Epoch 293/500
614/614 [==============================] - 0s 136us/sample - loss: 0.7059 - y1_output_loss: 0.1460 - y2_output_loss: 0.5777 - y1_output_root_mean_squared_error: 0.3838 - y2_output_root_mean_squared_error: 0.7474 - val_loss: 4.8488 - val_y1_output_loss: 0.4427 - val_y2_output_loss: 4.2676 - val_y1_output_root_mean_squared_error: 0.6722 - val_y2_output_root_mean_squared_error: 2.0969
Epoch 294/500
614/614 [==============================] - 0s 138us/sample - loss: 0.6155 - y1_output_loss: 0.1492 - y2_output_loss: 0.4644 - y1_output_root_mean_squared_error: 0.3879 - y2_output_root_mean_squared_error: 0.6820 - val_loss: 1.1420 - val_y1_output_loss: 0.1998 - val_y2_output_loss: 0.9784 - val_y1_output_root_mean_squared_error: 0.4518 - val_y2_output_root_mean_squared_error: 0.9685
Epoch 295/500
614/614 [==============================] - 0s 140us/sample - loss: 0.6728 - y1_output_loss: 0.1746 - y2_output_loss: 0.4950 - y1_output_root_mean_squared_error: 0.4192 - y2_output_root_mean_squared_error: 0.7051 - val_loss: 1.3205 - val_y1_output_loss: 0.2603 - val_y2_output_loss: 1.0666 - val_y1_output_root_mean_squared_error: 0.5155 - val_y2_output_root_mean_squared_error: 1.0270
Epoch 296/500
614/614 [==============================] - 0s 147us/sample - loss: 0.6192 - y1_output_loss: 0.1632 - y2_output_loss: 0.4505 - y1_output_root_mean_squared_error: 0.4056 - y2_output_root_mean_squared_error: 0.6744 - val_loss: 1.0746 - val_y1_output_loss: 0.2017 - val_y2_output_loss: 0.9385 - val_y1_output_root_mean_squared_error: 0.4538 - val_y2_output_root_mean_squared_error: 0.9320
Epoch 297/500
614/614 [==============================] - 0s 142us/sample - loss: 1.8414 - y1_output_loss: 0.4933 - y2_output_loss: 1.3467 - y1_output_root_mean_squared_error: 0.7041 - y2_output_root_mean_squared_error: 1.1600 - val_loss: 1.5102 - val_y1_output_loss: 0.4448 - val_y2_output_loss: 1.1486 - val_y1_output_root_mean_squared_error: 0.6669 - val_y2_output_root_mean_squared_error: 1.0322
Epoch 298/500
614/614 [==============================] - 0s 143us/sample - loss: 0.6801 - y1_output_loss: 0.1668 - y2_output_loss: 0.5112 - y1_output_root_mean_squared_error: 0.4084 - y2_output_root_mean_squared_error: 0.7164 - val_loss: 1.0570 - val_y1_output_loss: 0.2226 - val_y2_output_loss: 0.8639 - val_y1_output_root_mean_squared_error: 0.4753 - val_y2_output_root_mean_squared_error: 0.9116
Epoch 299/500
614/614 [==============================] - 0s 139us/sample - loss: 0.6386 - y1_output_loss: 0.1528 - y2_output_loss: 0.4819 - y1_output_root_mean_squared_error: 0.3914 - y2_output_root_mean_squared_error: 0.6967 - val_loss: 1.2048 - val_y1_output_loss: 0.2381 - val_y2_output_loss: 0.9689 - val_y1_output_root_mean_squared_error: 0.4929 - val_y2_output_root_mean_squared_error: 0.9808
Epoch 300/500
614/614 [==============================] - 0s 151us/sample - loss: 0.5762 - y1_output_loss: 0.1323 - y2_output_loss: 0.4426 - y1_output_root_mean_squared_error: 0.3647 - y2_output_root_mean_squared_error: 0.6657 - val_loss: 1.2670 - val_y1_output_loss: 0.2531 - val_y2_output_loss: 1.0848 - val_y1_output_root_mean_squared_error: 0.5095 - val_y2_output_root_mean_squared_error: 1.0037
Epoch 301/500
614/614 [==============================] - 0s 144us/sample - loss: 0.8457 - y1_output_loss: 0.2174 - y2_output_loss: 0.6243 - y1_output_root_mean_squared_error: 0.4681 - y2_output_root_mean_squared_error: 0.7916 - val_loss: 1.3977 - val_y1_output_loss: 0.2284 - val_y2_output_loss: 1.2774 - val_y1_output_root_mean_squared_error: 0.4832 - val_y2_output_root_mean_squared_error: 1.0790
Epoch 302/500
614/614 [==============================] - 0s 143us/sample - loss: 0.7379 - y1_output_loss: 0.1832 - y2_output_loss: 0.5519 - y1_output_root_mean_squared_error: 0.4275 - y2_output_root_mean_squared_error: 0.7451 - val_loss: 1.1869 - val_y1_output_loss: 0.2468 - val_y2_output_loss: 0.9632 - val_y1_output_root_mean_squared_error: 0.5034 - val_y2_output_root_mean_squared_error: 0.9662
Epoch 303/500
614/614 [==============================] - 0s 143us/sample - loss: 1.8562 - y1_output_loss: 0.5596 - y2_output_loss: 1.2839 - y1_output_root_mean_squared_error: 0.7514 - y2_output_root_mean_squared_error: 1.1365 - val_loss: 3.1671 - val_y1_output_loss: 0.5602 - val_y2_output_loss: 2.7929 - val_y1_output_root_mean_squared_error: 0.7515 - val_y2_output_root_mean_squared_error: 1.6132
Epoch 304/500
614/614 [==============================] - 0s 141us/sample - loss: 0.7614 - y1_output_loss: 0.1836 - y2_output_loss: 0.5715 - y1_output_root_mean_squared_error: 0.4297 - y2_output_root_mean_squared_error: 0.7594 - val_loss: 1.0492 - val_y1_output_loss: 0.1871 - val_y2_output_loss: 0.9037 - val_y1_output_root_mean_squared_error: 0.4379 - val_y2_output_root_mean_squared_error: 0.9260
Epoch 305/500
614/614 [==============================] - 0s 138us/sample - loss: 0.7890 - y1_output_loss: 0.1911 - y2_output_loss: 0.5915 - y1_output_root_mean_squared_error: 0.4379 - y2_output_root_mean_squared_error: 0.7728 - val_loss: 1.5689 - val_y1_output_loss: 0.3682 - val_y2_output_loss: 1.3004 - val_y1_output_root_mean_squared_error: 0.6148 - val_y2_output_root_mean_squared_error: 1.0913
Epoch 306/500
614/614 [==============================] - 0s 140us/sample - loss: 0.8103 - y1_output_loss: 0.2139 - y2_output_loss: 0.6086 - y1_output_root_mean_squared_error: 0.4570 - y2_output_root_mean_squared_error: 0.7755 - val_loss: 4.9166 - val_y1_output_loss: 1.6112 - val_y2_output_loss: 3.3309 - val_y1_output_root_mean_squared_error: 1.2882 - val_y2_output_root_mean_squared_error: 1.8048
Epoch 307/500
614/614 [==============================] - 0s 198us/sample - loss: 0.7095 - y1_output_loss: 0.2008 - y2_output_loss: 0.5215 - y1_output_root_mean_squared_error: 0.4456 - y2_output_root_mean_squared_error: 0.7148 - val_loss: 4.8523 - val_y1_output_loss: 1.2939 - val_y2_output_loss: 3.4066 - val_y1_output_root_mean_squared_error: 1.1541 - val_y2_output_root_mean_squared_error: 1.8763
Epoch 308/500
614/614 [==============================] - 0s 147us/sample - loss: 0.6727 - y1_output_loss: 0.1739 - y2_output_loss: 0.4975 - y1_output_root_mean_squared_error: 0.4174 - y2_output_root_mean_squared_error: 0.7060 - val_loss: 1.2486 - val_y1_output_loss: 0.2664 - val_y2_output_loss: 1.0189 - val_y1_output_root_mean_squared_error: 0.5234 - val_y2_output_root_mean_squared_error: 0.9872
Epoch 309/500
614/614 [==============================] - 0s 141us/sample - loss: 0.8679 - y1_output_loss: 0.2244 - y2_output_loss: 0.6431 - y1_output_root_mean_squared_error: 0.4753 - y2_output_root_mean_squared_error: 0.8012 - val_loss: 1.6729 - val_y1_output_loss: 0.3984 - val_y2_output_loss: 1.3689 - val_y1_output_root_mean_squared_error: 0.6409 - val_y2_output_root_mean_squared_error: 1.1235
Epoch 310/500
614/614 [==============================] - 0s 143us/sample - loss: 0.7787 - y1_output_loss: 0.1829 - y2_output_loss: 0.5966 - y1_output_root_mean_squared_error: 0.4275 - y2_output_root_mean_squared_error: 0.7720 - val_loss: 2.0190 - val_y1_output_loss: 0.2770 - val_y2_output_loss: 1.6949 - val_y1_output_root_mean_squared_error: 0.5256 - val_y2_output_root_mean_squared_error: 1.3201
Epoch 311/500
614/614 [==============================] - 0s 143us/sample - loss: 0.7613 - y1_output_loss: 0.1945 - y2_output_loss: 0.5637 - y1_output_root_mean_squared_error: 0.4425 - y2_output_root_mean_squared_error: 0.7520 - val_loss: 1.0131 - val_y1_output_loss: 0.2055 - val_y2_output_loss: 0.8425 - val_y1_output_root_mean_squared_error: 0.4588 - val_y2_output_root_mean_squared_error: 0.8958
Epoch 312/500
614/614 [==============================] - 0s 146us/sample - loss: 0.5710 - y1_output_loss: 0.1389 - y2_output_loss: 0.4322 - y1_output_root_mean_squared_error: 0.3737 - y2_output_root_mean_squared_error: 0.6567 - val_loss: 1.2729 - val_y1_output_loss: 0.2445 - val_y2_output_loss: 1.0556 - val_y1_output_root_mean_squared_error: 0.4988 - val_y2_output_root_mean_squared_error: 1.0120
Epoch 313/500
614/614 [==============================] - 0s 136us/sample - loss: 0.5804 - y1_output_loss: 0.1508 - y2_output_loss: 0.4316 - y1_output_root_mean_squared_error: 0.3878 - y2_output_root_mean_squared_error: 0.6558 - val_loss: 1.1612 - val_y1_output_loss: 0.2630 - val_y2_output_loss: 0.9576 - val_y1_output_root_mean_squared_error: 0.5195 - val_y2_output_root_mean_squared_error: 0.9441
Epoch 314/500
614/614 [==============================] - 0s 141us/sample - loss: 0.5073 - y1_output_loss: 0.1251 - y2_output_loss: 0.3779 - y1_output_root_mean_squared_error: 0.3552 - y2_output_root_mean_squared_error: 0.6174 - val_loss: 1.0678 - val_y1_output_loss: 0.1795 - val_y2_output_loss: 0.9635 - val_y1_output_root_mean_squared_error: 0.4286 - val_y2_output_root_mean_squared_error: 0.9403
Epoch 315/500
614/614 [==============================] - 0s 137us/sample - loss: 0.8258 - y1_output_loss: 0.1716 - y2_output_loss: 0.6477 - y1_output_root_mean_squared_error: 0.4152 - y2_output_root_mean_squared_error: 0.8083 - val_loss: 1.0161 - val_y1_output_loss: 0.1980 - val_y2_output_loss: 0.8792 - val_y1_output_root_mean_squared_error: 0.4509 - val_y2_output_root_mean_squared_error: 0.9016
Epoch 316/500
614/614 [==============================] - 0s 137us/sample - loss: 0.5934 - y1_output_loss: 0.1467 - y2_output_loss: 0.4449 - y1_output_root_mean_squared_error: 0.3833 - y2_output_root_mean_squared_error: 0.6682 - val_loss: 1.0516 - val_y1_output_loss: 0.2233 - val_y2_output_loss: 0.8408 - val_y1_output_root_mean_squared_error: 0.4765 - val_y2_output_root_mean_squared_error: 0.9080
Epoch 317/500
614/614 [==============================] - 0s 137us/sample - loss: 0.8014 - y1_output_loss: 0.1572 - y2_output_loss: 0.6450 - y1_output_root_mean_squared_error: 0.3948 - y2_output_root_mean_squared_error: 0.8035 - val_loss: 1.2024 - val_y1_output_loss: 0.2735 - val_y2_output_loss: 0.9610 - val_y1_output_root_mean_squared_error: 0.5293 - val_y2_output_root_mean_squared_error: 0.9603
Epoch 318/500
614/614 [==============================] - 0s 139us/sample - loss: 0.5823 - y1_output_loss: 0.1484 - y2_output_loss: 0.4308 - y1_output_root_mean_squared_error: 0.3868 - y2_output_root_mean_squared_error: 0.6578 - val_loss: 1.1196 - val_y1_output_loss: 0.2186 - val_y2_output_loss: 0.9612 - val_y1_output_root_mean_squared_error: 0.4731 - val_y2_output_root_mean_squared_error: 0.9464
Epoch 319/500
614/614 [==============================] - 0s 139us/sample - loss: 0.4829 - y1_output_loss: 0.1186 - y2_output_loss: 0.3652 - y1_output_root_mean_squared_error: 0.3440 - y2_output_root_mean_squared_error: 0.6038 - val_loss: 1.1044 - val_y1_output_loss: 0.2746 - val_y2_output_loss: 0.8680 - val_y1_output_root_mean_squared_error: 0.5271 - val_y2_output_root_mean_squared_error: 0.9092
Epoch 320/500
614/614 [==============================] - 0s 144us/sample - loss: 0.9066 - y1_output_loss: 0.1723 - y2_output_loss: 0.7352 - y1_output_root_mean_squared_error: 0.4155 - y2_output_root_mean_squared_error: 0.8568 - val_loss: 2.0530 - val_y1_output_loss: 0.3197 - val_y2_output_loss: 1.6937 - val_y1_output_root_mean_squared_error: 0.5663 - val_y2_output_root_mean_squared_error: 1.3161
Epoch 321/500
614/614 [==============================] - 0s 137us/sample - loss: 0.6321 - y1_output_loss: 0.1762 - y2_output_loss: 0.4601 - y1_output_root_mean_squared_error: 0.4125 - y2_output_root_mean_squared_error: 0.6797 - val_loss: 1.8276 - val_y1_output_loss: 0.6040 - val_y2_output_loss: 1.2211 - val_y1_output_root_mean_squared_error: 0.7851 - val_y2_output_root_mean_squared_error: 1.1006
Epoch 322/500
614/614 [==============================] - 0s 142us/sample - loss: 0.5037 - y1_output_loss: 0.1345 - y2_output_loss: 0.3692 - y1_output_root_mean_squared_error: 0.3666 - y2_output_root_mean_squared_error: 0.6077 - val_loss: 1.0597 - val_y1_output_loss: 0.2011 - val_y2_output_loss: 0.9215 - val_y1_output_root_mean_squared_error: 0.4536 - val_y2_output_root_mean_squared_error: 0.9241
Epoch 323/500
614/614 [==============================] - 0s 140us/sample - loss: 0.4861 - y1_output_loss: 0.1305 - y2_output_loss: 0.3690 - y1_output_root_mean_squared_error: 0.3560 - y2_output_root_mean_squared_error: 0.5995 - val_loss: 5.4326 - val_y1_output_loss: 1.7290 - val_y2_output_loss: 3.5406 - val_y1_output_root_mean_squared_error: 1.3328 - val_y2_output_root_mean_squared_error: 1.9121
Epoch 324/500
614/614 [==============================] - 0s 138us/sample - loss: 0.5414 - y1_output_loss: 0.1506 - y2_output_loss: 0.3874 - y1_output_root_mean_squared_error: 0.3889 - y2_output_root_mean_squared_error: 0.6246 - val_loss: 1.0524 - val_y1_output_loss: 0.2148 - val_y2_output_loss: 0.8865 - val_y1_output_root_mean_squared_error: 0.4701 - val_y2_output_root_mean_squared_error: 0.9118
Epoch 325/500
614/614 [==============================] - 0s 138us/sample - loss: 0.5790 - y1_output_loss: 0.1384 - y2_output_loss: 0.4361 - y1_output_root_mean_squared_error: 0.3732 - y2_output_root_mean_squared_error: 0.6631 - val_loss: 1.1002 - val_y1_output_loss: 0.2674 - val_y2_output_loss: 0.8630 - val_y1_output_root_mean_squared_error: 0.5234 - val_y2_output_root_mean_squared_error: 0.9090
Epoch 326/500
614/614 [==============================] - 0s 143us/sample - loss: 0.5482 - y1_output_loss: 0.1623 - y2_output_loss: 0.3824 - y1_output_root_mean_squared_error: 0.4038 - y2_output_root_mean_squared_error: 0.6206 - val_loss: 1.0029 - val_y1_output_loss: 0.2372 - val_y2_output_loss: 0.8091 - val_y1_output_root_mean_squared_error: 0.4954 - val_y2_output_root_mean_squared_error: 0.8704
Epoch 327/500
614/614 [==============================] - 0s 143us/sample - loss: 0.4707 - y1_output_loss: 0.1120 - y2_output_loss: 0.3557 - y1_output_root_mean_squared_error: 0.3357 - y2_output_root_mean_squared_error: 0.5984 - val_loss: 1.0070 - val_y1_output_loss: 0.2070 - val_y2_output_loss: 0.8124 - val_y1_output_root_mean_squared_error: 0.4607 - val_y2_output_root_mean_squared_error: 0.8915
Epoch 328/500
614/614 [==============================] - 0s 136us/sample - loss: 0.5814 - y1_output_loss: 0.1531 - y2_output_loss: 0.4243 - y1_output_root_mean_squared_error: 0.3926 - y2_output_root_mean_squared_error: 0.6537 - val_loss: 1.2598 - val_y1_output_loss: 0.2824 - val_y2_output_loss: 0.9799 - val_y1_output_root_mean_squared_error: 0.5372 - val_y2_output_root_mean_squared_error: 0.9855
Epoch 329/500
614/614 [==============================] - 0s 137us/sample - loss: 0.5769 - y1_output_loss: 0.1410 - y2_output_loss: 0.4383 - y1_output_root_mean_squared_error: 0.3730 - y2_output_root_mean_squared_error: 0.6616 - val_loss: 2.0019 - val_y1_output_loss: 0.6070 - val_y2_output_loss: 1.3920 - val_y1_output_root_mean_squared_error: 0.7871 - val_y2_output_root_mean_squared_error: 1.1757
Epoch 330/500
614/614 [==============================] - 0s 138us/sample - loss: 0.6033 - y1_output_loss: 0.1525 - y2_output_loss: 0.4496 - y1_output_root_mean_squared_error: 0.3901 - y2_output_root_mean_squared_error: 0.6717 - val_loss: 1.1373 - val_y1_output_loss: 0.2316 - val_y2_output_loss: 0.9701 - val_y1_output_root_mean_squared_error: 0.4862 - val_y2_output_root_mean_squared_error: 0.9492
Epoch 331/500
614/614 [==============================] - 0s 139us/sample - loss: 0.5334 - y1_output_loss: 0.1476 - y2_output_loss: 0.4024 - y1_output_root_mean_squared_error: 0.3824 - y2_output_root_mean_squared_error: 0.6223 - val_loss: 2.0571 - val_y1_output_loss: 0.2648 - val_y2_output_loss: 1.7474 - val_y1_output_root_mean_squared_error: 0.5210 - val_y2_output_root_mean_squared_error: 1.3363
Epoch 332/500
614/614 [==============================] - 0s 141us/sample - loss: 0.5253 - y1_output_loss: 0.1368 - y2_output_loss: 0.3892 - y1_output_root_mean_squared_error: 0.3709 - y2_output_root_mean_squared_error: 0.6227 - val_loss: 1.4896 - val_y1_output_loss: 0.2220 - val_y2_output_loss: 1.2509 - val_y1_output_root_mean_squared_error: 0.4772 - val_y2_output_root_mean_squared_error: 1.1233
Epoch 333/500
614/614 [==============================] - 0s 138us/sample - loss: 0.9806 - y1_output_loss: 0.2161 - y2_output_loss: 0.7577 - y1_output_root_mean_squared_error: 0.4665 - y2_output_root_mean_squared_error: 0.8735 - val_loss: 1.7967 - val_y1_output_loss: 0.5037 - val_y2_output_loss: 1.3187 - val_y1_output_root_mean_squared_error: 0.7218 - val_y2_output_root_mean_squared_error: 1.1295
Epoch 334/500
614/614 [==============================] - 0s 135us/sample - loss: 0.5780 - y1_output_loss: 0.1440 - y2_output_loss: 0.4415 - y1_output_root_mean_squared_error: 0.3780 - y2_output_root_mean_squared_error: 0.6596 - val_loss: 2.1950 - val_y1_output_loss: 0.7765 - val_y2_output_loss: 1.4014 - val_y1_output_root_mean_squared_error: 0.8900 - val_y2_output_root_mean_squared_error: 1.1844
Epoch 335/500
614/614 [==============================] - 0s 135us/sample - loss: 0.5224 - y1_output_loss: 0.1475 - y2_output_loss: 0.3910 - y1_output_root_mean_squared_error: 0.3835 - y2_output_root_mean_squared_error: 0.6127 - val_loss: 4.2357 - val_y1_output_loss: 0.9283 - val_y2_output_loss: 3.1984 - val_y1_output_root_mean_squared_error: 0.9695 - val_y2_output_root_mean_squared_error: 1.8154
Epoch 336/500
614/614 [==============================] - 0s 143us/sample - loss: 1.0563 - y1_output_loss: 0.2667 - y2_output_loss: 0.7847 - y1_output_root_mean_squared_error: 0.5169 - y2_output_root_mean_squared_error: 0.8884 - val_loss: 1.1752 - val_y1_output_loss: 0.2008 - val_y2_output_loss: 1.0517 - val_y1_output_root_mean_squared_error: 0.4517 - val_y2_output_root_mean_squared_error: 0.9855
Epoch 337/500
614/614 [==============================] - 0s 139us/sample - loss: 0.5534 - y1_output_loss: 0.1491 - y2_output_loss: 0.4046 - y1_output_root_mean_squared_error: 0.3859 - y2_output_root_mean_squared_error: 0.6360 - val_loss: 1.8604 - val_y1_output_loss: 0.2588 - val_y2_output_loss: 1.7142 - val_y1_output_root_mean_squared_error: 0.5141 - val_y2_output_root_mean_squared_error: 1.2634
Epoch 338/500
614/614 [==============================] - 0s 137us/sample - loss: 0.4279 - y1_output_loss: 0.1136 - y2_output_loss: 0.3108 - y1_output_root_mean_squared_error: 0.3384 - y2_output_root_mean_squared_error: 0.5598 - val_loss: 1.0105 - val_y1_output_loss: 0.1988 - val_y2_output_loss: 0.8264 - val_y1_output_root_mean_squared_error: 0.4512 - val_y2_output_root_mean_squared_error: 0.8983
Epoch 339/500
614/614 [==============================] - 0s 140us/sample - loss: 0.5022 - y1_output_loss: 0.1234 - y2_output_loss: 0.3774 - y1_output_root_mean_squared_error: 0.3515 - y2_output_root_mean_squared_error: 0.6153 - val_loss: 1.1121 - val_y1_output_loss: 0.1998 - val_y2_output_loss: 0.9750 - val_y1_output_root_mean_squared_error: 0.4520 - val_y2_output_root_mean_squared_error: 0.9528
Epoch 340/500
614/614 [==============================] - 0s 135us/sample - loss: 0.5427 - y1_output_loss: 0.1286 - y2_output_loss: 0.4100 - y1_output_root_mean_squared_error: 0.3602 - y2_output_root_mean_squared_error: 0.6426 - val_loss: 1.0066 - val_y1_output_loss: 0.2379 - val_y2_output_loss: 0.7940 - val_y1_output_root_mean_squared_error: 0.4934 - val_y2_output_root_mean_squared_error: 0.8736
Epoch 341/500
614/614 [==============================] - 0s 137us/sample - loss: 0.6293 - y1_output_loss: 0.1492 - y2_output_loss: 0.4803 - y1_output_root_mean_squared_error: 0.3877 - y2_output_root_mean_squared_error: 0.6921 - val_loss: 2.4886 - val_y1_output_loss: 0.2476 - val_y2_output_loss: 2.1796 - val_y1_output_root_mean_squared_error: 0.5029 - val_y2_output_root_mean_squared_error: 1.4952
Epoch 342/500
614/614 [==============================] - 0s 138us/sample - loss: 0.5018 - y1_output_loss: 0.1266 - y2_output_loss: 0.4054 - y1_output_root_mean_squared_error: 0.3541 - y2_output_root_mean_squared_error: 0.6135 - val_loss: 5.2362 - val_y1_output_loss: 0.5525 - val_y2_output_loss: 4.9373 - val_y1_output_root_mean_squared_error: 0.7495 - val_y2_output_root_mean_squared_error: 2.1620
Epoch 343/500
614/614 [==============================] - 0s 146us/sample - loss: 0.6083 - y1_output_loss: 0.1599 - y2_output_loss: 0.4448 - y1_output_root_mean_squared_error: 0.4002 - y2_output_root_mean_squared_error: 0.6694 - val_loss: 1.0500 - val_y1_output_loss: 0.1843 - val_y2_output_loss: 0.9447 - val_y1_output_root_mean_squared_error: 0.4359 - val_y2_output_root_mean_squared_error: 0.9274
Epoch 344/500
614/614 [==============================] - 0s 142us/sample - loss: 0.6430 - y1_output_loss: 0.1412 - y2_output_loss: 0.4958 - y1_output_root_mean_squared_error: 0.3774 - y2_output_root_mean_squared_error: 0.7075 - val_loss: 0.9433 - val_y1_output_loss: 0.1980 - val_y2_output_loss: 0.7809 - val_y1_output_root_mean_squared_error: 0.4502 - val_y2_output_root_mean_squared_error: 0.8606
Epoch 345/500
614/614 [==============================] - 0s 141us/sample - loss: 0.5120 - y1_output_loss: 0.1356 - y2_output_loss: 0.3744 - y1_output_root_mean_squared_error: 0.3688 - y2_output_root_mean_squared_error: 0.6132 - val_loss: 0.9932 - val_y1_output_loss: 0.1896 - val_y2_output_loss: 0.8027 - val_y1_output_root_mean_squared_error: 0.4403 - val_y2_output_root_mean_squared_error: 0.8941
Epoch 346/500
614/614 [==============================] - 0s 142us/sample - loss: 0.6064 - y1_output_loss: 0.1694 - y2_output_loss: 0.4351 - y1_output_root_mean_squared_error: 0.4125 - y2_output_root_mean_squared_error: 0.6605 - val_loss: 1.8472 - val_y1_output_loss: 0.3649 - val_y2_output_loss: 1.4392 - val_y1_output_root_mean_squared_error: 0.6090 - val_y2_output_root_mean_squared_error: 1.2150
Epoch 347/500
614/614 [==============================] - 0s 145us/sample - loss: 0.5536 - y1_output_loss: 0.1457 - y2_output_loss: 0.4038 - y1_output_root_mean_squared_error: 0.3832 - y2_output_root_mean_squared_error: 0.6378 - val_loss: 1.0253 - val_y1_output_loss: 0.2406 - val_y2_output_loss: 0.8131 - val_y1_output_root_mean_squared_error: 0.4978 - val_y2_output_root_mean_squared_error: 0.8818
Epoch 348/500
614/614 [==============================] - 0s 142us/sample - loss: 0.4716 - y1_output_loss: 0.1238 - y2_output_loss: 0.3514 - y1_output_root_mean_squared_error: 0.3517 - y2_output_root_mean_squared_error: 0.5898 - val_loss: 1.9013 - val_y1_output_loss: 0.4142 - val_y2_output_loss: 1.5889 - val_y1_output_root_mean_squared_error: 0.6494 - val_y2_output_root_mean_squared_error: 1.2164
Epoch 349/500
614/614 [==============================] - 0s 136us/sample - loss: 0.4644 - y1_output_loss: 0.1296 - y2_output_loss: 0.3315 - y1_output_root_mean_squared_error: 0.3608 - y2_output_root_mean_squared_error: 0.5781 - val_loss: 1.1495 - val_y1_output_loss: 0.3415 - val_y2_output_loss: 0.8635 - val_y1_output_root_mean_squared_error: 0.5931 - val_y2_output_root_mean_squared_error: 0.8932
Epoch 350/500
614/614 [==============================] - 0s 138us/sample - loss: 0.4940 - y1_output_loss: 0.1299 - y2_output_loss: 0.3631 - y1_output_root_mean_squared_error: 0.3616 - y2_output_root_mean_squared_error: 0.6027 - val_loss: 0.9370 - val_y1_output_loss: 0.1981 - val_y2_output_loss: 0.7650 - val_y1_output_root_mean_squared_error: 0.4513 - val_y2_output_root_mean_squared_error: 0.8564
Epoch 351/500
614/614 [==============================] - 0s 141us/sample - loss: 0.6026 - y1_output_loss: 0.1459 - y2_output_loss: 0.4595 - y1_output_root_mean_squared_error: 0.3835 - y2_output_root_mean_squared_error: 0.6749 - val_loss: 1.7466 - val_y1_output_loss: 0.2993 - val_y2_output_loss: 1.4139 - val_y1_output_root_mean_squared_error: 0.5556 - val_y2_output_root_mean_squared_error: 1.1991
Epoch 352/500
614/614 [==============================] - 0s 138us/sample - loss: 0.6414 - y1_output_loss: 0.1513 - y2_output_loss: 0.4891 - y1_output_root_mean_squared_error: 0.3906 - y2_output_root_mean_squared_error: 0.6992 - val_loss: 1.2743 - val_y1_output_loss: 0.2466 - val_y2_output_loss: 1.0167 - val_y1_output_root_mean_squared_error: 0.5052 - val_y2_output_root_mean_squared_error: 1.0095
Epoch 353/500
614/614 [==============================] - 0s 135us/sample - loss: 0.7975 - y1_output_loss: 0.1728 - y2_output_loss: 0.6180 - y1_output_root_mean_squared_error: 0.4173 - y2_output_root_mean_squared_error: 0.7895 - val_loss: 0.9449 - val_y1_output_loss: 0.1928 - val_y2_output_loss: 0.7516 - val_y1_output_root_mean_squared_error: 0.4446 - val_y2_output_root_mean_squared_error: 0.8644
Epoch 354/500
614/614 [==============================] - 0s 147us/sample - loss: 0.4925 - y1_output_loss: 0.1380 - y2_output_loss: 0.3725 - y1_output_root_mean_squared_error: 0.3638 - y2_output_root_mean_squared_error: 0.6002 - val_loss: 1.4766 - val_y1_output_loss: 0.3559 - val_y2_output_loss: 1.1103 - val_y1_output_root_mean_squared_error: 0.6057 - val_y2_output_root_mean_squared_error: 1.0535
Epoch 355/500
614/614 [==============================] - 0s 142us/sample - loss: 0.4873 - y1_output_loss: 0.1327 - y2_output_loss: 0.3540 - y1_output_root_mean_squared_error: 0.3640 - y2_output_root_mean_squared_error: 0.5957 - val_loss: 0.9410 - val_y1_output_loss: 0.1899 - val_y2_output_loss: 0.7946 - val_y1_output_root_mean_squared_error: 0.4420 - val_y2_output_root_mean_squared_error: 0.8635
Epoch 356/500
614/614 [==============================] - 0s 140us/sample - loss: 0.5136 - y1_output_loss: 0.1523 - y2_output_loss: 0.3621 - y1_output_root_mean_squared_error: 0.3917 - y2_output_root_mean_squared_error: 0.6001 - val_loss: 2.0449 - val_y1_output_loss: 0.2670 - val_y2_output_loss: 1.7280 - val_y1_output_root_mean_squared_error: 0.5210 - val_y2_output_root_mean_squared_error: 1.3317
Epoch 357/500
614/614 [==============================] - 0s 136us/sample - loss: 0.6920 - y1_output_loss: 0.1600 - y2_output_loss: 0.5348 - y1_output_root_mean_squared_error: 0.4003 - y2_output_root_mean_squared_error: 0.7292 - val_loss: 1.4195 - val_y1_output_loss: 0.3443 - val_y2_output_loss: 1.0588 - val_y1_output_root_mean_squared_error: 0.5977 - val_y2_output_root_mean_squared_error: 1.0306
Epoch 358/500
614/614 [==============================] - 0s 138us/sample - loss: 0.5638 - y1_output_loss: 0.1656 - y2_output_loss: 0.3947 - y1_output_root_mean_squared_error: 0.4075 - y2_output_root_mean_squared_error: 0.6306 - val_loss: 1.5763 - val_y1_output_loss: 0.3652 - val_y2_output_loss: 1.1919 - val_y1_output_root_mean_squared_error: 0.6123 - val_y2_output_root_mean_squared_error: 1.0961
Epoch 359/500
614/614 [==============================] - 0s 134us/sample - loss: 0.5496 - y1_output_loss: 0.1453 - y2_output_loss: 0.4038 - y1_output_root_mean_squared_error: 0.3809 - y2_output_root_mean_squared_error: 0.6360 - val_loss: 1.2354 - val_y1_output_loss: 0.2880 - val_y2_output_loss: 0.9456 - val_y1_output_root_mean_squared_error: 0.5439 - val_y2_output_root_mean_squared_error: 0.9694
Epoch 360/500
614/614 [==============================] - 0s 136us/sample - loss: 0.5222 - y1_output_loss: 0.1210 - y2_output_loss: 0.4062 - y1_output_root_mean_squared_error: 0.3489 - y2_output_root_mean_squared_error: 0.6328 - val_loss: 3.3627 - val_y1_output_loss: 0.7419 - val_y2_output_loss: 2.5226 - val_y1_output_root_mean_squared_error: 0.8720 - val_y2_output_root_mean_squared_error: 1.6132
Epoch 361/500
614/614 [==============================] - 0s 141us/sample - loss: 0.7637 - y1_output_loss: 0.2085 - y2_output_loss: 0.5492 - y1_output_root_mean_squared_error: 0.4587 - y2_output_root_mean_squared_error: 0.7439 - val_loss: 1.0750 - val_y1_output_loss: 0.2211 - val_y2_output_loss: 0.8539 - val_y1_output_root_mean_squared_error: 0.4761 - val_y2_output_root_mean_squared_error: 0.9210
Epoch 362/500
614/614 [==============================] - 0s 136us/sample - loss: 0.4155 - y1_output_loss: 0.1208 - y2_output_loss: 0.2919 - y1_output_root_mean_squared_error: 0.3484 - y2_output_root_mean_squared_error: 0.5423 - val_loss: 0.9298 - val_y1_output_loss: 0.1842 - val_y2_output_loss: 0.7891 - val_y1_output_root_mean_squared_error: 0.4344 - val_y2_output_root_mean_squared_error: 0.8608
Epoch 363/500
614/614 [==============================] - 0s 139us/sample - loss: 0.4083 - y1_output_loss: 0.1151 - y2_output_loss: 0.2924 - y1_output_root_mean_squared_error: 0.3392 - y2_output_root_mean_squared_error: 0.5415 - val_loss: 1.2583 - val_y1_output_loss: 0.2324 - val_y2_output_loss: 1.0057 - val_y1_output_root_mean_squared_error: 0.4872 - val_y2_output_root_mean_squared_error: 1.0104
Epoch 364/500
614/614 [==============================] - 0s 138us/sample - loss: 0.4708 - y1_output_loss: 0.1358 - y2_output_loss: 0.3314 - y1_output_root_mean_squared_error: 0.3697 - y2_output_root_mean_squared_error: 0.5780 - val_loss: 1.0841 - val_y1_output_loss: 0.2364 - val_y2_output_loss: 0.8539 - val_y1_output_root_mean_squared_error: 0.4933 - val_y2_output_root_mean_squared_error: 0.9169
Epoch 365/500
614/614 [==============================] - 0s 145us/sample - loss: 0.5333 - y1_output_loss: 0.1403 - y2_output_loss: 0.3897 - y1_output_root_mean_squared_error: 0.3742 - y2_output_root_mean_squared_error: 0.6271 - val_loss: 0.8700 - val_y1_output_loss: 0.1819 - val_y2_output_loss: 0.7270 - val_y1_output_root_mean_squared_error: 0.4328 - val_y2_output_root_mean_squared_error: 0.8262
Epoch 366/500
614/614 [==============================] - 0s 141us/sample - loss: 0.4360 - y1_output_loss: 0.1270 - y2_output_loss: 0.3127 - y1_output_root_mean_squared_error: 0.3567 - y2_output_root_mean_squared_error: 0.5556 - val_loss: 0.9768 - val_y1_output_loss: 0.2001 - val_y2_output_loss: 0.8026 - val_y1_output_root_mean_squared_error: 0.4511 - val_y2_output_root_mean_squared_error: 0.8794
Epoch 367/500
614/614 [==============================] - 0s 146us/sample - loss: 0.5642 - y1_output_loss: 0.1536 - y2_output_loss: 0.4069 - y1_output_root_mean_squared_error: 0.3925 - y2_output_root_mean_squared_error: 0.6404 - val_loss: 1.1187 - val_y1_output_loss: 0.2358 - val_y2_output_loss: 0.8692 - val_y1_output_root_mean_squared_error: 0.4907 - val_y2_output_root_mean_squared_error: 0.9369
Epoch 368/500
614/614 [==============================] - 0s 143us/sample - loss: 0.4284 - y1_output_loss: 0.1324 - y2_output_loss: 0.2958 - y1_output_root_mean_squared_error: 0.3632 - y2_output_root_mean_squared_error: 0.5445 - val_loss: 1.0757 - val_y1_output_loss: 0.2610 - val_y2_output_loss: 0.8065 - val_y1_output_root_mean_squared_error: 0.5147 - val_y2_output_root_mean_squared_error: 0.9005
Epoch 369/500
614/614 [==============================] - 0s 143us/sample - loss: 0.4487 - y1_output_loss: 0.1205 - y2_output_loss: 0.3256 - y1_output_root_mean_squared_error: 0.3467 - y2_output_root_mean_squared_error: 0.5731 - val_loss: 0.9539 - val_y1_output_loss: 0.2229 - val_y2_output_loss: 0.7388 - val_y1_output_root_mean_squared_error: 0.4780 - val_y2_output_root_mean_squared_error: 0.8517
Epoch 370/500
614/614 [==============================] - 0s 142us/sample - loss: 0.4341 - y1_output_loss: 0.1260 - y2_output_loss: 0.3055 - y1_output_root_mean_squared_error: 0.3559 - y2_output_root_mean_squared_error: 0.5545 - val_loss: 0.8881 - val_y1_output_loss: 0.1841 - val_y2_output_loss: 0.7326 - val_y1_output_root_mean_squared_error: 0.4348 - val_y2_output_root_mean_squared_error: 0.8361
Epoch 371/500
614/614 [==============================] - 0s 142us/sample - loss: 0.4226 - y1_output_loss: 0.1214 - y2_output_loss: 0.2975 - y1_output_root_mean_squared_error: 0.3500 - y2_output_root_mean_squared_error: 0.5479 - val_loss: 0.9158 - val_y1_output_loss: 0.1963 - val_y2_output_loss: 0.7410 - val_y1_output_root_mean_squared_error: 0.4488 - val_y2_output_root_mean_squared_error: 0.8452
Epoch 372/500
614/614 [==============================] - 0s 136us/sample - loss: 0.4793 - y1_output_loss: 0.1558 - y2_output_loss: 0.3197 - y1_output_root_mean_squared_error: 0.3965 - y2_output_root_mean_squared_error: 0.5676 - val_loss: 0.9242 - val_y1_output_loss: 0.2051 - val_y2_output_loss: 0.7590 - val_y1_output_root_mean_squared_error: 0.4593 - val_y2_output_root_mean_squared_error: 0.8445
Epoch 373/500
614/614 [==============================] - 0s 152us/sample - loss: 0.4475 - y1_output_loss: 0.1230 - y2_output_loss: 0.3235 - y1_output_root_mean_squared_error: 0.3513 - y2_output_root_mean_squared_error: 0.5693 - val_loss: 0.9309 - val_y1_output_loss: 0.2120 - val_y2_output_loss: 0.7335 - val_y1_output_root_mean_squared_error: 0.4667 - val_y2_output_root_mean_squared_error: 0.8445
Epoch 374/500
614/614 [==============================] - 0s 177us/sample - loss: 0.4084 - y1_output_loss: 0.1280 - y2_output_loss: 0.2847 - y1_output_root_mean_squared_error: 0.3583 - y2_output_root_mean_squared_error: 0.5291 - val_loss: 1.3614 - val_y1_output_loss: 0.3073 - val_y2_output_loss: 1.0216 - val_y1_output_root_mean_squared_error: 0.5600 - val_y2_output_root_mean_squared_error: 1.0236
Epoch 375/500
614/614 [==============================] - 0s 144us/sample - loss: 0.4159 - y1_output_loss: 0.1201 - y2_output_loss: 0.2936 - y1_output_root_mean_squared_error: 0.3469 - y2_output_root_mean_squared_error: 0.5437 - val_loss: 0.9682 - val_y1_output_loss: 0.1836 - val_y2_output_loss: 0.8407 - val_y1_output_root_mean_squared_error: 0.4343 - val_y2_output_root_mean_squared_error: 0.8829
Epoch 376/500
614/614 [==============================] - 0s 145us/sample - loss: 0.3674 - y1_output_loss: 0.1118 - y2_output_loss: 0.2541 - y1_output_root_mean_squared_error: 0.3333 - y2_output_root_mean_squared_error: 0.5063 - val_loss: 0.9268 - val_y1_output_loss: 0.1890 - val_y2_output_loss: 0.7870 - val_y1_output_root_mean_squared_error: 0.4410 - val_y2_output_root_mean_squared_error: 0.8557
Epoch 377/500
614/614 [==============================] - 0s 139us/sample - loss: 0.5087 - y1_output_loss: 0.1269 - y2_output_loss: 0.3831 - y1_output_root_mean_squared_error: 0.3528 - y2_output_root_mean_squared_error: 0.6198 - val_loss: 2.2344 - val_y1_output_loss: 0.8803 - val_y2_output_loss: 1.3131 - val_y1_output_root_mean_squared_error: 0.9481 - val_y2_output_root_mean_squared_error: 1.1556
Epoch 378/500
614/614 [==============================] - 0s 144us/sample - loss: 0.4276 - y1_output_loss: 0.1346 - y2_output_loss: 0.2915 - y1_output_root_mean_squared_error: 0.3667 - y2_output_root_mean_squared_error: 0.5414 - val_loss: 1.0423 - val_y1_output_loss: 0.3510 - val_y2_output_loss: 0.7003 - val_y1_output_root_mean_squared_error: 0.6022 - val_y2_output_root_mean_squared_error: 0.8244
Epoch 379/500
614/614 [==============================] - 0s 151us/sample - loss: 0.5878 - y1_output_loss: 0.1439 - y2_output_loss: 0.4412 - y1_output_root_mean_squared_error: 0.3811 - y2_output_root_mean_squared_error: 0.6652 - val_loss: 0.9944 - val_y1_output_loss: 0.2065 - val_y2_output_loss: 0.8229 - val_y1_output_root_mean_squared_error: 0.4608 - val_y2_output_root_mean_squared_error: 0.8843
Epoch 380/500
614/614 [==============================] - 0s 162us/sample - loss: 0.3856 - y1_output_loss: 0.1070 - y2_output_loss: 0.2828 - y1_output_root_mean_squared_error: 0.3247 - y2_output_root_mean_squared_error: 0.5293 - val_loss: 0.9338 - val_y1_output_loss: 0.2086 - val_y2_output_loss: 0.7240 - val_y1_output_root_mean_squared_error: 0.4629 - val_y2_output_root_mean_squared_error: 0.8482
Epoch 381/500
614/614 [==============================] - 0s 145us/sample - loss: 0.4079 - y1_output_loss: 0.1223 - y2_output_loss: 0.2854 - y1_output_root_mean_squared_error: 0.3494 - y2_output_root_mean_squared_error: 0.5347 - val_loss: 0.9300 - val_y1_output_loss: 0.1889 - val_y2_output_loss: 0.7664 - val_y1_output_root_mean_squared_error: 0.4386 - val_y2_output_root_mean_squared_error: 0.8588
Epoch 382/500
614/614 [==============================] - 0s 142us/sample - loss: 0.4634 - y1_output_loss: 0.1256 - y2_output_loss: 0.3422 - y1_output_root_mean_squared_error: 0.3557 - y2_output_root_mean_squared_error: 0.5804 - val_loss: 1.4261 - val_y1_output_loss: 0.2555 - val_y2_output_loss: 1.2320 - val_y1_output_root_mean_squared_error: 0.5110 - val_y2_output_root_mean_squared_error: 1.0793
Epoch 383/500
614/614 [==============================] - 0s 141us/sample - loss: 0.4272 - y1_output_loss: 0.1143 - y2_output_loss: 0.3146 - y1_output_root_mean_squared_error: 0.3380 - y2_output_root_mean_squared_error: 0.5595 - val_loss: 1.8183 - val_y1_output_loss: 0.4628 - val_y2_output_loss: 1.3251 - val_y1_output_root_mean_squared_error: 0.6883 - val_y2_output_root_mean_squared_error: 1.1596
Epoch 384/500
614/614 [==============================] - 0s 137us/sample - loss: 0.4779 - y1_output_loss: 0.1325 - y2_output_loss: 0.3420 - y1_output_root_mean_squared_error: 0.3654 - y2_output_root_mean_squared_error: 0.5868 - val_loss: 1.0149 - val_y1_output_loss: 0.1848 - val_y2_output_loss: 0.8981 - val_y1_output_root_mean_squared_error: 0.4353 - val_y2_output_root_mean_squared_error: 0.9085
Epoch 385/500
614/614 [==============================] - 0s 137us/sample - loss: 0.4314 - y1_output_loss: 0.1267 - y2_output_loss: 0.3032 - y1_output_root_mean_squared_error: 0.3561 - y2_output_root_mean_squared_error: 0.5519 - val_loss: 0.9448 - val_y1_output_loss: 0.2119 - val_y2_output_loss: 0.7860 - val_y1_output_root_mean_squared_error: 0.4673 - val_y2_output_root_mean_squared_error: 0.8523
Epoch 386/500
614/614 [==============================] - 0s 138us/sample - loss: 0.4147 - y1_output_loss: 0.1264 - y2_output_loss: 0.2864 - y1_output_root_mean_squared_error: 0.3555 - y2_output_root_mean_squared_error: 0.5369 - val_loss: 0.8669 - val_y1_output_loss: 0.2064 - val_y2_output_loss: 0.6787 - val_y1_output_root_mean_squared_error: 0.4599 - val_y2_output_root_mean_squared_error: 0.8096
Epoch 387/500
614/614 [==============================] - 0s 139us/sample - loss: 0.4275 - y1_output_loss: 0.1304 - y2_output_loss: 0.2947 - y1_output_root_mean_squared_error: 0.3618 - y2_output_root_mean_squared_error: 0.5446 - val_loss: 0.9736 - val_y1_output_loss: 0.1991 - val_y2_output_loss: 0.7881 - val_y1_output_root_mean_squared_error: 0.4521 - val_y2_output_root_mean_squared_error: 0.8770
Epoch 388/500
614/614 [==============================] - 0s 141us/sample - loss: 0.4080 - y1_output_loss: 0.1140 - y2_output_loss: 0.2916 - y1_output_root_mean_squared_error: 0.3383 - y2_output_root_mean_squared_error: 0.5418 - val_loss: 1.8952 - val_y1_output_loss: 0.3393 - val_y2_output_loss: 1.5108 - val_y1_output_root_mean_squared_error: 0.5853 - val_y2_output_root_mean_squared_error: 1.2461
Epoch 389/500
614/614 [==============================] - 0s 154us/sample - loss: 0.4241 - y1_output_loss: 0.1344 - y2_output_loss: 0.2886 - y1_output_root_mean_squared_error: 0.3669 - y2_output_root_mean_squared_error: 0.5380 - val_loss: 0.9959 - val_y1_output_loss: 0.2203 - val_y2_output_loss: 0.7766 - val_y1_output_root_mean_squared_error: 0.4731 - val_y2_output_root_mean_squared_error: 0.8787
Epoch 390/500
614/614 [==============================] - 0s 137us/sample - loss: 0.4083 - y1_output_loss: 0.1215 - y2_output_loss: 0.2912 - y1_output_root_mean_squared_error: 0.3471 - y2_output_root_mean_squared_error: 0.5365 - val_loss: 1.8119 - val_y1_output_loss: 0.1929 - val_y2_output_loss: 1.7258 - val_y1_output_root_mean_squared_error: 0.4436 - val_y2_output_root_mean_squared_error: 1.2709
Epoch 391/500
614/614 [==============================] - 0s 131us/sample - loss: 0.3927 - y1_output_loss: 0.1173 - y2_output_loss: 0.2751 - y1_output_root_mean_squared_error: 0.3422 - y2_output_root_mean_squared_error: 0.5250 - val_loss: 0.8835 - val_y1_output_loss: 0.2210 - val_y2_output_loss: 0.6949 - val_y1_output_root_mean_squared_error: 0.4758 - val_y2_output_root_mean_squared_error: 0.8106
Epoch 392/500
614/614 [==============================] - 0s 133us/sample - loss: 0.3982 - y1_output_loss: 0.1121 - y2_output_loss: 0.2833 - y1_output_root_mean_squared_error: 0.3359 - y2_output_root_mean_squared_error: 0.5342 - val_loss: 1.0188 - val_y1_output_loss: 0.1978 - val_y2_output_loss: 0.8107 - val_y1_output_root_mean_squared_error: 0.4511 - val_y2_output_root_mean_squared_error: 0.9030
Epoch 393/500
614/614 [==============================] - 0s 130us/sample - loss: 0.5058 - y1_output_loss: 0.1339 - y2_output_loss: 0.3711 - y1_output_root_mean_squared_error: 0.3666 - y2_output_root_mean_squared_error: 0.6094 - val_loss: 0.9539 - val_y1_output_loss: 0.2131 - val_y2_output_loss: 0.7777 - val_y1_output_root_mean_squared_error: 0.4683 - val_y2_output_root_mean_squared_error: 0.8571
Epoch 394/500
614/614 [==============================] - 0s 141us/sample - loss: 0.4699 - y1_output_loss: 0.1286 - y2_output_loss: 0.3416 - y1_output_root_mean_squared_error: 0.3574 - y2_output_root_mean_squared_error: 0.5850 - val_loss: 0.9012 - val_y1_output_loss: 0.1847 - val_y2_output_loss: 0.7766 - val_y1_output_root_mean_squared_error: 0.4359 - val_y2_output_root_mean_squared_error: 0.8433
Epoch 395/500
614/614 [==============================] - 0s 138us/sample - loss: 0.4780 - y1_output_loss: 0.1262 - y2_output_loss: 0.3513 - y1_output_root_mean_squared_error: 0.3567 - y2_output_root_mean_squared_error: 0.5922 - val_loss: 0.8475 - val_y1_output_loss: 0.1740 - val_y2_output_loss: 0.6823 - val_y1_output_root_mean_squared_error: 0.4227 - val_y2_output_root_mean_squared_error: 0.8178
Epoch 396/500
614/614 [==============================] - 0s 134us/sample - loss: 0.4369 - y1_output_loss: 0.1248 - y2_output_loss: 0.3121 - y1_output_root_mean_squared_error: 0.3536 - y2_output_root_mean_squared_error: 0.5585 - val_loss: 1.9057 - val_y1_output_loss: 0.4097 - val_y2_output_loss: 1.5514 - val_y1_output_root_mean_squared_error: 0.6510 - val_y2_output_root_mean_squared_error: 1.2173
Epoch 397/500
614/614 [==============================] - 0s 139us/sample - loss: 0.4672 - y1_output_loss: 0.1267 - y2_output_loss: 0.3449 - y1_output_root_mean_squared_error: 0.3526 - y2_output_root_mean_squared_error: 0.5856 - val_loss: 2.0506 - val_y1_output_loss: 0.8922 - val_y2_output_loss: 1.1333 - val_y1_output_root_mean_squared_error: 0.9510 - val_y2_output_root_mean_squared_error: 1.0706
Epoch 398/500
614/614 [==============================] - 0s 140us/sample - loss: 0.4245 - y1_output_loss: 0.1284 - y2_output_loss: 0.2944 - y1_output_root_mean_squared_error: 0.3582 - y2_output_root_mean_squared_error: 0.5443 - val_loss: 1.4869 - val_y1_output_loss: 0.3136 - val_y2_output_loss: 1.2660 - val_y1_output_root_mean_squared_error: 0.5657 - val_y2_output_root_mean_squared_error: 1.0802
Epoch 399/500
614/614 [==============================] - 0s 138us/sample - loss: 0.4073 - y1_output_loss: 0.1108 - y2_output_loss: 0.3014 - y1_output_root_mean_squared_error: 0.3324 - y2_output_root_mean_squared_error: 0.5448 - val_loss: 1.0493 - val_y1_output_loss: 0.1739 - val_y2_output_loss: 0.8507 - val_y1_output_root_mean_squared_error: 0.4215 - val_y2_output_root_mean_squared_error: 0.9336
Epoch 400/500
614/614 [==============================] - 0s 136us/sample - loss: 0.3771 - y1_output_loss: 0.1081 - y2_output_loss: 0.2665 - y1_output_root_mean_squared_error: 0.3303 - y2_output_root_mean_squared_error: 0.5177 - val_loss: 0.9247 - val_y1_output_loss: 0.2353 - val_y2_output_loss: 0.7400 - val_y1_output_root_mean_squared_error: 0.4934 - val_y2_output_root_mean_squared_error: 0.8254
Epoch 401/500
614/614 [==============================] - 0s 140us/sample - loss: 0.3865 - y1_output_loss: 0.1209 - y2_output_loss: 0.2638 - y1_output_root_mean_squared_error: 0.3482 - y2_output_root_mean_squared_error: 0.5151 - val_loss: 0.8614 - val_y1_output_loss: 0.1859 - val_y2_output_loss: 0.7238 - val_y1_output_root_mean_squared_error: 0.4367 - val_y2_output_root_mean_squared_error: 0.8189
Epoch 402/500
614/614 [==============================] - 0s 163us/sample - loss: 0.4624 - y1_output_loss: 0.1250 - y2_output_loss: 0.3343 - y1_output_root_mean_squared_error: 0.3540 - y2_output_root_mean_squared_error: 0.5806 - val_loss: 0.9136 - val_y1_output_loss: 0.1963 - val_y2_output_loss: 0.7640 - val_y1_output_root_mean_squared_error: 0.4489 - val_y2_output_root_mean_squared_error: 0.8439
Epoch 403/500
614/614 [==============================] - 0s 136us/sample - loss: 0.3984 - y1_output_loss: 0.1195 - y2_output_loss: 0.2825 - y1_output_root_mean_squared_error: 0.3450 - y2_output_root_mean_squared_error: 0.5286 - val_loss: 1.9052 - val_y1_output_loss: 0.4174 - val_y2_output_loss: 1.5391 - val_y1_output_root_mean_squared_error: 0.6575 - val_y2_output_root_mean_squared_error: 1.2136
Epoch 404/500
614/614 [==============================] - 0s 189us/sample - loss: 0.4191 - y1_output_loss: 0.1558 - y2_output_loss: 0.2764 - y1_output_root_mean_squared_error: 0.3816 - y2_output_root_mean_squared_error: 0.5229 - val_loss: 1.1025 - val_y1_output_loss: 0.2381 - val_y2_output_loss: 0.9155 - val_y1_output_root_mean_squared_error: 0.4950 - val_y2_output_root_mean_squared_error: 0.9260
Epoch 405/500
614/614 [==============================] - 0s 140us/sample - loss: 0.3995 - y1_output_loss: 0.1161 - y2_output_loss: 0.2801 - y1_output_root_mean_squared_error: 0.3419 - y2_output_root_mean_squared_error: 0.5316 - val_loss: 1.4128 - val_y1_output_loss: 0.2373 - val_y2_output_loss: 1.1461 - val_y1_output_root_mean_squared_error: 0.4944 - val_y2_output_root_mean_squared_error: 1.0809
Epoch 406/500
614/614 [==============================] - 0s 139us/sample - loss: 0.3760 - y1_output_loss: 0.1196 - y2_output_loss: 0.2608 - y1_output_root_mean_squared_error: 0.3419 - y2_output_root_mean_squared_error: 0.5090 - val_loss: 1.8227 - val_y1_output_loss: 0.6779 - val_y2_output_loss: 1.1330 - val_y1_output_root_mean_squared_error: 0.8314 - val_y2_output_root_mean_squared_error: 1.0637
Epoch 407/500
614/614 [==============================] - 0s 139us/sample - loss: 0.6740 - y1_output_loss: 0.2027 - y2_output_loss: 0.4664 - y1_output_root_mean_squared_error: 0.4520 - y2_output_root_mean_squared_error: 0.6853 - val_loss: 0.7871 - val_y1_output_loss: 0.1577 - val_y2_output_loss: 0.6736 - val_y1_output_root_mean_squared_error: 0.4030 - val_y2_output_root_mean_squared_error: 0.7904
Epoch 408/500
614/614 [==============================] - 0s 137us/sample - loss: 0.3645 - y1_output_loss: 0.1069 - y2_output_loss: 0.2577 - y1_output_root_mean_squared_error: 0.3249 - y2_output_root_mean_squared_error: 0.5089 - val_loss: 0.8337 - val_y1_output_loss: 0.1833 - val_y2_output_loss: 0.6920 - val_y1_output_root_mean_squared_error: 0.4338 - val_y2_output_root_mean_squared_error: 0.8035
Epoch 409/500
614/614 [==============================] - 0s 138us/sample - loss: 0.3229 - y1_output_loss: 0.1010 - y2_output_loss: 0.2200 - y1_output_root_mean_squared_error: 0.3180 - y2_output_root_mean_squared_error: 0.4709 - val_loss: 0.9688 - val_y1_output_loss: 0.2357 - val_y2_output_loss: 0.7567 - val_y1_output_root_mean_squared_error: 0.4927 - val_y2_output_root_mean_squared_error: 0.8521
Epoch 410/500
614/614 [==============================] - 0s 141us/sample - loss: 0.3102 - y1_output_loss: 0.1037 - y2_output_loss: 0.2087 - y1_output_root_mean_squared_error: 0.3218 - y2_output_root_mean_squared_error: 0.4546 - val_loss: 0.9730 - val_y1_output_loss: 0.1971 - val_y2_output_loss: 0.8247 - val_y1_output_root_mean_squared_error: 0.4508 - val_y2_output_root_mean_squared_error: 0.8774
Epoch 411/500
614/614 [==============================] - 0s 155us/sample - loss: 0.4350 - y1_output_loss: 0.1160 - y2_output_loss: 0.3185 - y1_output_root_mean_squared_error: 0.3400 - y2_output_root_mean_squared_error: 0.5651 - val_loss: 1.2446 - val_y1_output_loss: 0.3781 - val_y2_output_loss: 0.9245 - val_y1_output_root_mean_squared_error: 0.6229 - val_y2_output_root_mean_squared_error: 0.9256
Epoch 412/500
614/614 [==============================] - 0s 165us/sample - loss: 0.4182 - y1_output_loss: 0.1237 - y2_output_loss: 0.2945 - y1_output_root_mean_squared_error: 0.3505 - y2_output_root_mean_squared_error: 0.5435 - val_loss: 1.6756 - val_y1_output_loss: 0.4823 - val_y2_output_loss: 1.2544 - val_y1_output_root_mean_squared_error: 0.7037 - val_y2_output_root_mean_squared_error: 1.0865
Epoch 413/500
614/614 [==============================] - 0s 147us/sample - loss: 0.4285 - y1_output_loss: 0.1218 - y2_output_loss: 0.3048 - y1_output_root_mean_squared_error: 0.3494 - y2_output_root_mean_squared_error: 0.5536 - val_loss: 0.8761 - val_y1_output_loss: 0.1898 - val_y2_output_loss: 0.6941 - val_y1_output_root_mean_squared_error: 0.4384 - val_y2_output_root_mean_squared_error: 0.8270
Epoch 414/500
614/614 [==============================] - 0s 145us/sample - loss: 0.3839 - y1_output_loss: 0.1161 - y2_output_loss: 0.2654 - y1_output_root_mean_squared_error: 0.3412 - y2_output_root_mean_squared_error: 0.5172 - val_loss: 0.8606 - val_y1_output_loss: 0.2312 - val_y2_output_loss: 0.6623 - val_y1_output_root_mean_squared_error: 0.4881 - val_y2_output_root_mean_squared_error: 0.7889
Epoch 415/500
614/614 [==============================] - 0s 146us/sample - loss: 0.3254 - y1_output_loss: 0.1018 - y2_output_loss: 0.2241 - y1_output_root_mean_squared_error: 0.3201 - y2_output_root_mean_squared_error: 0.4722 - val_loss: 1.0553 - val_y1_output_loss: 0.2146 - val_y2_output_loss: 0.8416 - val_y1_output_root_mean_squared_error: 0.4685 - val_y2_output_root_mean_squared_error: 0.9142
Epoch 416/500
614/614 [==============================] - 0s 144us/sample - loss: 0.4446 - y1_output_loss: 0.1312 - y2_output_loss: 0.3110 - y1_output_root_mean_squared_error: 0.3630 - y2_output_root_mean_squared_error: 0.5593 - val_loss: 0.8341 - val_y1_output_loss: 0.1839 - val_y2_output_loss: 0.6917 - val_y1_output_root_mean_squared_error: 0.4337 - val_y2_output_root_mean_squared_error: 0.8037
Epoch 417/500
614/614 [==============================] - 0s 140us/sample - loss: 0.3589 - y1_output_loss: 0.1120 - y2_output_loss: 0.2494 - y1_output_root_mean_squared_error: 0.3337 - y2_output_root_mean_squared_error: 0.4976 - val_loss: 1.1068 - val_y1_output_loss: 0.1899 - val_y2_output_loss: 0.9814 - val_y1_output_root_mean_squared_error: 0.4420 - val_y2_output_root_mean_squared_error: 0.9547
Epoch 418/500
614/614 [==============================] - 0s 139us/sample - loss: 0.4405 - y1_output_loss: 0.1263 - y2_output_loss: 0.3131 - y1_output_root_mean_squared_error: 0.3560 - y2_output_root_mean_squared_error: 0.5602 - val_loss: 1.0804 - val_y1_output_loss: 0.3305 - val_y2_output_loss: 0.7899 - val_y1_output_root_mean_squared_error: 0.5821 - val_y2_output_root_mean_squared_error: 0.8611
Epoch 419/500
614/614 [==============================] - 0s 135us/sample - loss: 0.3967 - y1_output_loss: 0.1227 - y2_output_loss: 0.2723 - y1_output_root_mean_squared_error: 0.3506 - y2_output_root_mean_squared_error: 0.5232 - val_loss: 0.8071 - val_y1_output_loss: 0.1926 - val_y2_output_loss: 0.6385 - val_y1_output_root_mean_squared_error: 0.4453 - val_y2_output_root_mean_squared_error: 0.7803
Epoch 420/500
614/614 [==============================] - 0s 142us/sample - loss: 0.3913 - y1_output_loss: 0.1228 - y2_output_loss: 0.2661 - y1_output_root_mean_squared_error: 0.3513 - y2_output_root_mean_squared_error: 0.5176 - val_loss: 0.8436 - val_y1_output_loss: 0.1954 - val_y2_output_loss: 0.6835 - val_y1_output_root_mean_squared_error: 0.4488 - val_y2_output_root_mean_squared_error: 0.8013
Epoch 421/500
614/614 [==============================] - 0s 144us/sample - loss: 0.4304 - y1_output_loss: 0.1154 - y2_output_loss: 0.3137 - y1_output_root_mean_squared_error: 0.3397 - y2_output_root_mean_squared_error: 0.5613 - val_loss: 0.9118 - val_y1_output_loss: 0.2862 - val_y2_output_loss: 0.6560 - val_y1_output_root_mean_squared_error: 0.5429 - val_y2_output_root_mean_squared_error: 0.7856
Epoch 422/500
614/614 [==============================] - 0s 143us/sample - loss: 0.2889 - y1_output_loss: 0.1073 - y2_output_loss: 0.1833 - y1_output_root_mean_squared_error: 0.3265 - y2_output_root_mean_squared_error: 0.4269 - val_loss: 1.8788 - val_y1_output_loss: 0.4301 - val_y2_output_loss: 1.4048 - val_y1_output_root_mean_squared_error: 0.6644 - val_y2_output_root_mean_squared_error: 1.1989
Epoch 423/500
614/614 [==============================] - 0s 169us/sample - loss: 0.4497 - y1_output_loss: 0.1237 - y2_output_loss: 0.3313 - y1_output_root_mean_squared_error: 0.3516 - y2_output_root_mean_squared_error: 0.5711 - val_loss: 2.6949 - val_y1_output_loss: 0.4017 - val_y2_output_loss: 2.4222 - val_y1_output_root_mean_squared_error: 0.6380 - val_y2_output_root_mean_squared_error: 1.5126
Epoch 424/500
614/614 [==============================] - 0s 151us/sample - loss: 0.4231 - y1_output_loss: 0.1199 - y2_output_loss: 0.3025 - y1_output_root_mean_squared_error: 0.3473 - y2_output_root_mean_squared_error: 0.5500 - val_loss: 1.2892 - val_y1_output_loss: 0.2569 - val_y2_output_loss: 1.0128 - val_y1_output_root_mean_squared_error: 0.5090 - val_y2_output_root_mean_squared_error: 1.0149
Epoch 425/500
614/614 [==============================] - 0s 146us/sample - loss: 0.4259 - y1_output_loss: 0.1273 - y2_output_loss: 0.2954 - y1_output_root_mean_squared_error: 0.3579 - y2_output_root_mean_squared_error: 0.5457 - val_loss: 0.8309 - val_y1_output_loss: 0.1691 - val_y2_output_loss: 0.7079 - val_y1_output_root_mean_squared_error: 0.4169 - val_y2_output_root_mean_squared_error: 0.8106
Epoch 426/500
614/614 [==============================] - 0s 146us/sample - loss: 0.4112 - y1_output_loss: 0.1270 - y2_output_loss: 0.2843 - y1_output_root_mean_squared_error: 0.3548 - y2_output_root_mean_squared_error: 0.5341 - val_loss: 1.7429 - val_y1_output_loss: 0.5506 - val_y2_output_loss: 1.1635 - val_y1_output_root_mean_squared_error: 0.7494 - val_y2_output_root_mean_squared_error: 1.0869
Epoch 427/500
614/614 [==============================] - 0s 150us/sample - loss: 0.7295 - y1_output_loss: 0.1722 - y2_output_loss: 0.5515 - y1_output_root_mean_squared_error: 0.4168 - y2_output_root_mean_squared_error: 0.7455 - val_loss: 0.8485 - val_y1_output_loss: 0.1944 - val_y2_output_loss: 0.6761 - val_y1_output_root_mean_squared_error: 0.4466 - val_y2_output_root_mean_squared_error: 0.8057
Epoch 428/500
614/614 [==============================] - 0s 162us/sample - loss: 0.4170 - y1_output_loss: 0.1225 - y2_output_loss: 0.2956 - y1_output_root_mean_squared_error: 0.3512 - y2_output_root_mean_squared_error: 0.5419 - val_loss: 1.0271 - val_y1_output_loss: 0.1955 - val_y2_output_loss: 0.9123 - val_y1_output_root_mean_squared_error: 0.4480 - val_y2_output_root_mean_squared_error: 0.9091
Epoch 429/500
614/614 [==============================] - 0s 143us/sample - loss: 0.6384 - y1_output_loss: 0.1686 - y2_output_loss: 0.4706 - y1_output_root_mean_squared_error: 0.4117 - y2_output_root_mean_squared_error: 0.6848 - val_loss: 1.2516 - val_y1_output_loss: 0.3384 - val_y2_output_loss: 0.9077 - val_y1_output_root_mean_squared_error: 0.5820 - val_y2_output_root_mean_squared_error: 0.9554
Epoch 430/500
614/614 [==============================] - 0s 141us/sample - loss: 0.4380 - y1_output_loss: 0.1347 - y2_output_loss: 0.3021 - y1_output_root_mean_squared_error: 0.3665 - y2_output_root_mean_squared_error: 0.5511 - val_loss: 0.8608 - val_y1_output_loss: 0.2020 - val_y2_output_loss: 0.6582 - val_y1_output_root_mean_squared_error: 0.4537 - val_y2_output_root_mean_squared_error: 0.8093
Epoch 431/500
614/614 [==============================] - 0s 141us/sample - loss: 0.3330 - y1_output_loss: 0.1052 - y2_output_loss: 0.2300 - y1_output_root_mean_squared_error: 0.3247 - y2_output_root_mean_squared_error: 0.4770 - val_loss: 2.2599 - val_y1_output_loss: 0.3571 - val_y2_output_loss: 1.8379 - val_y1_output_root_mean_squared_error: 0.6023 - val_y2_output_root_mean_squared_error: 1.3774
Epoch 432/500
614/614 [==============================] - 0s 142us/sample - loss: 0.5801 - y1_output_loss: 0.1651 - y2_output_loss: 0.4100 - y1_output_root_mean_squared_error: 0.4077 - y2_output_root_mean_squared_error: 0.6434 - val_loss: 0.8789 - val_y1_output_loss: 0.1770 - val_y2_output_loss: 0.7096 - val_y1_output_root_mean_squared_error: 0.4260 - val_y2_output_root_mean_squared_error: 0.8351
Epoch 433/500
614/614 [==============================] - 0s 143us/sample - loss: 0.3863 - y1_output_loss: 0.1126 - y2_output_loss: 0.2736 - y1_output_root_mean_squared_error: 0.3366 - y2_output_root_mean_squared_error: 0.5225 - val_loss: 0.9076 - val_y1_output_loss: 0.1843 - val_y2_output_loss: 0.7215 - val_y1_output_root_mean_squared_error: 0.4355 - val_y2_output_root_mean_squared_error: 0.8473
Epoch 434/500
614/614 [==============================] - 0s 143us/sample - loss: 0.3835 - y1_output_loss: 0.1294 - y2_output_loss: 0.2512 - y1_output_root_mean_squared_error: 0.3605 - y2_output_root_mean_squared_error: 0.5035 - val_loss: 0.8841 - val_y1_output_loss: 0.2274 - val_y2_output_loss: 0.6955 - val_y1_output_root_mean_squared_error: 0.4843 - val_y2_output_root_mean_squared_error: 0.8059
Epoch 435/500
614/614 [==============================] - 0s 141us/sample - loss: 0.4150 - y1_output_loss: 0.1332 - y2_output_loss: 0.2791 - y1_output_root_mean_squared_error: 0.3661 - y2_output_root_mean_squared_error: 0.5301 - val_loss: 0.8966 - val_y1_output_loss: 0.1810 - val_y2_output_loss: 0.7667 - val_y1_output_root_mean_squared_error: 0.4312 - val_y2_output_root_mean_squared_error: 0.8430
Epoch 436/500
614/614 [==============================] - 0s 142us/sample - loss: 0.4945 - y1_output_loss: 0.1372 - y2_output_loss: 0.3572 - y1_output_root_mean_squared_error: 0.3705 - y2_output_root_mean_squared_error: 0.5977 - val_loss: 1.1446 - val_y1_output_loss: 0.2171 - val_y2_output_loss: 0.9208 - val_y1_output_root_mean_squared_error: 0.4720 - val_y2_output_root_mean_squared_error: 0.9601
Epoch 437/500
614/614 [==============================] - 0s 138us/sample - loss: 0.3511 - y1_output_loss: 0.1175 - y2_output_loss: 0.2322 - y1_output_root_mean_squared_error: 0.3438 - y2_output_root_mean_squared_error: 0.4827 - val_loss: 0.8257 - val_y1_output_loss: 0.1736 - val_y2_output_loss: 0.6683 - val_y1_output_root_mean_squared_error: 0.4234 - val_y2_output_root_mean_squared_error: 0.8040
Epoch 438/500
614/614 [==============================] - 0s 145us/sample - loss: 0.4126 - y1_output_loss: 0.1210 - y2_output_loss: 0.2910 - y1_output_root_mean_squared_error: 0.3477 - y2_output_root_mean_squared_error: 0.5401 - val_loss: 0.7895 - val_y1_output_loss: 0.1945 - val_y2_output_loss: 0.6142 - val_y1_output_root_mean_squared_error: 0.4480 - val_y2_output_root_mean_squared_error: 0.7673
Epoch 439/500
614/614 [==============================] - 0s 141us/sample - loss: 0.3751 - y1_output_loss: 0.1200 - y2_output_loss: 0.2538 - y1_output_root_mean_squared_error: 0.3477 - y2_output_root_mean_squared_error: 0.5042 - val_loss: 0.8395 - val_y1_output_loss: 0.1912 - val_y2_output_loss: 0.6661 - val_y1_output_root_mean_squared_error: 0.4432 - val_y2_output_root_mean_squared_error: 0.8019
Epoch 440/500
614/614 [==============================] - 0s 152us/sample - loss: 0.6964 - y1_output_loss: 0.1682 - y2_output_loss: 0.5230 - y1_output_root_mean_squared_error: 0.4119 - y2_output_root_mean_squared_error: 0.7258 - val_loss: 1.0126 - val_y1_output_loss: 0.2188 - val_y2_output_loss: 0.8401 - val_y1_output_root_mean_squared_error: 0.4744 - val_y2_output_root_mean_squared_error: 0.8874
Epoch 441/500
614/614 [==============================] - 0s 139us/sample - loss: 0.4141 - y1_output_loss: 0.1194 - y2_output_loss: 0.2933 - y1_output_root_mean_squared_error: 0.3470 - y2_output_root_mean_squared_error: 0.5420 - val_loss: 0.8734 - val_y1_output_loss: 0.1856 - val_y2_output_loss: 0.6844 - val_y1_output_root_mean_squared_error: 0.4345 - val_y2_output_root_mean_squared_error: 0.8274
Epoch 442/500
614/614 [==============================] - 0s 140us/sample - loss: 0.3713 - y1_output_loss: 0.1149 - y2_output_loss: 0.2563 - y1_output_root_mean_squared_error: 0.3389 - y2_output_root_mean_squared_error: 0.5064 - val_loss: 1.0252 - val_y1_output_loss: 0.2132 - val_y2_output_loss: 0.8818 - val_y1_output_root_mean_squared_error: 0.4686 - val_y2_output_root_mean_squared_error: 0.8975
Epoch 443/500
614/614 [==============================] - 0s 146us/sample - loss: 0.4271 - y1_output_loss: 0.1331 - y2_output_loss: 0.2923 - y1_output_root_mean_squared_error: 0.3663 - y2_output_root_mean_squared_error: 0.5412 - val_loss: 0.8082 - val_y1_output_loss: 0.1872 - val_y2_output_loss: 0.6373 - val_y1_output_root_mean_squared_error: 0.4376 - val_y2_output_root_mean_squared_error: 0.7853
Epoch 444/500
614/614 [==============================] - 0s 142us/sample - loss: 0.4126 - y1_output_loss: 0.1414 - y2_output_loss: 0.2706 - y1_output_root_mean_squared_error: 0.3757 - y2_output_root_mean_squared_error: 0.5211 - val_loss: 0.8722 - val_y1_output_loss: 0.2062 - val_y2_output_loss: 0.6773 - val_y1_output_root_mean_squared_error: 0.4609 - val_y2_output_root_mean_squared_error: 0.8123
Epoch 445/500
614/614 [==============================] - 0s 143us/sample - loss: 0.3290 - y1_output_loss: 0.1158 - y2_output_loss: 0.2111 - y1_output_root_mean_squared_error: 0.3408 - y2_output_root_mean_squared_error: 0.4613 - val_loss: 0.8370 - val_y1_output_loss: 0.1884 - val_y2_output_loss: 0.6791 - val_y1_output_root_mean_squared_error: 0.4412 - val_y2_output_root_mean_squared_error: 0.8015
Epoch 446/500
614/614 [==============================] - 0s 150us/sample - loss: 0.3021 - y1_output_loss: 0.1065 - y2_output_loss: 0.1955 - y1_output_root_mean_squared_error: 0.3273 - y2_output_root_mean_squared_error: 0.4416 - val_loss: 0.9094 - val_y1_output_loss: 0.1628 - val_y2_output_loss: 0.7979 - val_y1_output_root_mean_squared_error: 0.4099 - val_y2_output_root_mean_squared_error: 0.8610
Epoch 447/500
614/614 [==============================] - 0s 149us/sample - loss: 0.3351 - y1_output_loss: 0.1003 - y2_output_loss: 0.2362 - y1_output_root_mean_squared_error: 0.3168 - y2_output_root_mean_squared_error: 0.4845 - val_loss: 1.0877 - val_y1_output_loss: 0.2314 - val_y2_output_loss: 0.9141 - val_y1_output_root_mean_squared_error: 0.4877 - val_y2_output_root_mean_squared_error: 0.9219
Epoch 448/500
614/614 [==============================] - 0s 157us/sample - loss: 0.6696 - y1_output_loss: 0.1798 - y2_output_loss: 0.4870 - y1_output_root_mean_squared_error: 0.4253 - y2_output_root_mean_squared_error: 0.6990 - val_loss: 0.9063 - val_y1_output_loss: 0.2094 - val_y2_output_loss: 0.7488 - val_y1_output_root_mean_squared_error: 0.4641 - val_y2_output_root_mean_squared_error: 0.8312
Epoch 449/500
614/614 [==============================] - 0s 154us/sample - loss: 0.3883 - y1_output_loss: 0.1346 - y2_output_loss: 0.2537 - y1_output_root_mean_squared_error: 0.3664 - y2_output_root_mean_squared_error: 0.5040 - val_loss: 0.7305 - val_y1_output_loss: 0.1773 - val_y2_output_loss: 0.5769 - val_y1_output_root_mean_squared_error: 0.4282 - val_y2_output_root_mean_squared_error: 0.7397
Epoch 450/500
614/614 [==============================] - 0s 151us/sample - loss: 0.4395 - y1_output_loss: 0.1208 - y2_output_loss: 0.3174 - y1_output_root_mean_squared_error: 0.3485 - y2_output_root_mean_squared_error: 0.5639 - val_loss: 1.6479 - val_y1_output_loss: 0.3957 - val_y2_output_loss: 1.3124 - val_y1_output_root_mean_squared_error: 0.6402 - val_y2_output_root_mean_squared_error: 1.1127
Epoch 451/500
614/614 [==============================] - 0s 152us/sample - loss: 0.4148 - y1_output_loss: 0.1091 - y2_output_loss: 0.3051 - y1_output_root_mean_squared_error: 0.3310 - y2_output_root_mean_squared_error: 0.5525 - val_loss: 0.9947 - val_y1_output_loss: 0.1949 - val_y2_output_loss: 0.7909 - val_y1_output_root_mean_squared_error: 0.4487 - val_y2_output_root_mean_squared_error: 0.8907
Epoch 452/500
614/614 [==============================] - 0s 146us/sample - loss: 0.4176 - y1_output_loss: 0.1224 - y2_output_loss: 0.2957 - y1_output_root_mean_squared_error: 0.3487 - y2_output_root_mean_squared_error: 0.5441 - val_loss: 1.0954 - val_y1_output_loss: 0.3166 - val_y2_output_loss: 0.7759 - val_y1_output_root_mean_squared_error: 0.5685 - val_y2_output_root_mean_squared_error: 0.8787
Epoch 453/500
614/614 [==============================] - 0s 143us/sample - loss: 0.4244 - y1_output_loss: 0.1338 - y2_output_loss: 0.2932 - y1_output_root_mean_squared_error: 0.3649 - y2_output_root_mean_squared_error: 0.5397 - val_loss: 1.0907 - val_y1_output_loss: 0.3382 - val_y2_output_loss: 0.7550 - val_y1_output_root_mean_squared_error: 0.5876 - val_y2_output_root_mean_squared_error: 0.8633
Epoch 454/500
614/614 [==============================] - 0s 141us/sample - loss: 0.3732 - y1_output_loss: 0.1258 - y2_output_loss: 0.2532 - y1_output_root_mean_squared_error: 0.3560 - y2_output_root_mean_squared_error: 0.4965 - val_loss: 0.8397 - val_y1_output_loss: 0.2177 - val_y2_output_loss: 0.6594 - val_y1_output_root_mean_squared_error: 0.4734 - val_y2_output_root_mean_squared_error: 0.7845
Epoch 455/500
614/614 [==============================] - 0s 146us/sample - loss: 0.3912 - y1_output_loss: 0.1202 - y2_output_loss: 0.2714 - y1_output_root_mean_squared_error: 0.3461 - y2_output_root_mean_squared_error: 0.5210 - val_loss: 1.5755 - val_y1_output_loss: 0.3728 - val_y2_output_loss: 1.1679 - val_y1_output_root_mean_squared_error: 0.6147 - val_y2_output_root_mean_squared_error: 1.0944
Epoch 456/500
614/614 [==============================] - 0s 148us/sample - loss: 0.4007 - y1_output_loss: 0.1245 - y2_output_loss: 0.2822 - y1_output_root_mean_squared_error: 0.3520 - y2_output_root_mean_squared_error: 0.5261 - val_loss: 1.2480 - val_y1_output_loss: 0.2665 - val_y2_output_loss: 0.9729 - val_y1_output_root_mean_squared_error: 0.5220 - val_y2_output_root_mean_squared_error: 0.9877
Epoch 457/500
614/614 [==============================] - 0s 147us/sample - loss: 0.4102 - y1_output_loss: 0.1302 - y2_output_loss: 0.2788 - y1_output_root_mean_squared_error: 0.3614 - y2_output_root_mean_squared_error: 0.5287 - val_loss: 0.8056 - val_y1_output_loss: 0.1634 - val_y2_output_loss: 0.6952 - val_y1_output_root_mean_squared_error: 0.4081 - val_y2_output_root_mean_squared_error: 0.7994
Epoch 458/500
614/614 [==============================] - 0s 137us/sample - loss: 0.4080 - y1_output_loss: 0.1366 - y2_output_loss: 0.2683 - y1_output_root_mean_squared_error: 0.3710 - y2_output_root_mean_squared_error: 0.5200 - val_loss: 0.8483 - val_y1_output_loss: 0.2068 - val_y2_output_loss: 0.6683 - val_y1_output_root_mean_squared_error: 0.4616 - val_y2_output_root_mean_squared_error: 0.7970
Epoch 459/500
614/614 [==============================] - 0s 154us/sample - loss: 0.3346 - y1_output_loss: 0.1113 - y2_output_loss: 0.2219 - y1_output_root_mean_squared_error: 0.3352 - y2_output_root_mean_squared_error: 0.4713 - val_loss: 0.8450 - val_y1_output_loss: 0.2044 - val_y2_output_loss: 0.6538 - val_y1_output_root_mean_squared_error: 0.4600 - val_y2_output_root_mean_squared_error: 0.7959
Epoch 460/500
614/614 [==============================] - 0s 143us/sample - loss: 0.3520 - y1_output_loss: 0.1156 - y2_output_loss: 0.2375 - y1_output_root_mean_squared_error: 0.3406 - y2_output_root_mean_squared_error: 0.4858 - val_loss: 0.8060 - val_y1_output_loss: 0.1950 - val_y2_output_loss: 0.6442 - val_y1_output_root_mean_squared_error: 0.4484 - val_y2_output_root_mean_squared_error: 0.7778
Epoch 461/500
614/614 [==============================] - 0s 138us/sample - loss: 0.6256 - y1_output_loss: 0.1626 - y2_output_loss: 0.4618 - y1_output_root_mean_squared_error: 0.4037 - y2_output_root_mean_squared_error: 0.6802 - val_loss: 1.1477 - val_y1_output_loss: 0.2225 - val_y2_output_loss: 0.9146 - val_y1_output_root_mean_squared_error: 0.4724 - val_y2_output_root_mean_squared_error: 0.9615
Epoch 462/500
614/614 [==============================] - 0s 146us/sample - loss: 0.2937 - y1_output_loss: 0.0983 - y2_output_loss: 0.1941 - y1_output_root_mean_squared_error: 0.3132 - y2_output_root_mean_squared_error: 0.4423 - val_loss: 0.7764 - val_y1_output_loss: 0.1819 - val_y2_output_loss: 0.6140 - val_y1_output_root_mean_squared_error: 0.4322 - val_y2_output_root_mean_squared_error: 0.7678
Epoch 463/500
614/614 [==============================] - 0s 145us/sample - loss: 0.4137 - y1_output_loss: 0.1236 - y2_output_loss: 0.2874 - y1_output_root_mean_squared_error: 0.3523 - y2_output_root_mean_squared_error: 0.5381 - val_loss: 0.7673 - val_y1_output_loss: 0.1788 - val_y2_output_loss: 0.6212 - val_y1_output_root_mean_squared_error: 0.4271 - val_y2_output_root_mean_squared_error: 0.7648
Epoch 464/500
614/614 [==============================] - 0s 138us/sample - loss: 0.4013 - y1_output_loss: 0.1317 - y2_output_loss: 0.2691 - y1_output_root_mean_squared_error: 0.3638 - y2_output_root_mean_squared_error: 0.5186 - val_loss: 1.4023 - val_y1_output_loss: 0.2296 - val_y2_output_loss: 1.1440 - val_y1_output_root_mean_squared_error: 0.4843 - val_y2_output_root_mean_squared_error: 1.0806
Epoch 465/500
614/614 [==============================] - 0s 149us/sample - loss: 0.3654 - y1_output_loss: 0.1051 - y2_output_loss: 0.2586 - y1_output_root_mean_squared_error: 0.3256 - y2_output_root_mean_squared_error: 0.5093 - val_loss: 0.9086 - val_y1_output_loss: 0.1886 - val_y2_output_loss: 0.7245 - val_y1_output_root_mean_squared_error: 0.4400 - val_y2_output_root_mean_squared_error: 0.8456
Epoch 466/500
614/614 [==============================] - 0s 178us/sample - loss: 0.2978 - y1_output_loss: 0.0975 - y2_output_loss: 0.1987 - y1_output_root_mean_squared_error: 0.3130 - y2_output_root_mean_squared_error: 0.4470 - val_loss: 0.7942 - val_y1_output_loss: 0.1797 - val_y2_output_loss: 0.6533 - val_y1_output_root_mean_squared_error: 0.4301 - val_y2_output_root_mean_squared_error: 0.7806
Epoch 467/500
614/614 [==============================] - 0s 149us/sample - loss: 0.3047 - y1_output_loss: 0.1035 - y2_output_loss: 0.2005 - y1_output_root_mean_squared_error: 0.3217 - y2_output_root_mean_squared_error: 0.4486 - val_loss: 0.8618 - val_y1_output_loss: 0.1560 - val_y2_output_loss: 0.7623 - val_y1_output_root_mean_squared_error: 0.4000 - val_y2_output_root_mean_squared_error: 0.8377
Epoch 468/500
614/614 [==============================] - 0s 140us/sample - loss: 0.2794 - y1_output_loss: 0.0975 - y2_output_loss: 0.1840 - y1_output_root_mean_squared_error: 0.3132 - y2_output_root_mean_squared_error: 0.4258 - val_loss: 0.8894 - val_y1_output_loss: 0.1894 - val_y2_output_loss: 0.7089 - val_y1_output_root_mean_squared_error: 0.4413 - val_y2_output_root_mean_squared_error: 0.8335
Epoch 469/500
614/614 [==============================] - 0s 139us/sample - loss: 0.4959 - y1_output_loss: 0.1287 - y2_output_loss: 0.3641 - y1_output_root_mean_squared_error: 0.3592 - y2_output_root_mean_squared_error: 0.6056 - val_loss: 0.7814 - val_y1_output_loss: 0.1764 - val_y2_output_loss: 0.6244 - val_y1_output_root_mean_squared_error: 0.4268 - val_y2_output_root_mean_squared_error: 0.7741
Epoch 470/500
614/614 [==============================] - 0s 139us/sample - loss: 0.2981 - y1_output_loss: 0.1025 - y2_output_loss: 0.1936 - y1_output_root_mean_squared_error: 0.3210 - y2_output_root_mean_squared_error: 0.4417 - val_loss: 0.7558 - val_y1_output_loss: 0.1978 - val_y2_output_loss: 0.5935 - val_y1_output_root_mean_squared_error: 0.4517 - val_y2_output_root_mean_squared_error: 0.7428
Epoch 471/500
614/614 [==============================] - 0s 141us/sample - loss: 0.3851 - y1_output_loss: 0.1252 - y2_output_loss: 0.2577 - y1_output_root_mean_squared_error: 0.3555 - y2_output_root_mean_squared_error: 0.5087 - val_loss: 0.9694 - val_y1_output_loss: 0.2073 - val_y2_output_loss: 0.8262 - val_y1_output_root_mean_squared_error: 0.4619 - val_y2_output_root_mean_squared_error: 0.8695
Epoch 472/500
614/614 [==============================] - 0s 146us/sample - loss: 0.4963 - y1_output_loss: 0.1397 - y2_output_loss: 0.3556 - y1_output_root_mean_squared_error: 0.3748 - y2_output_root_mean_squared_error: 0.5965 - val_loss: 0.7878 - val_y1_output_loss: 0.1905 - val_y2_output_loss: 0.6380 - val_y1_output_root_mean_squared_error: 0.4409 - val_y2_output_root_mean_squared_error: 0.7703
Epoch 473/500
614/614 [==============================] - 0s 143us/sample - loss: 0.3225 - y1_output_loss: 0.1109 - y2_output_loss: 0.2097 - y1_output_root_mean_squared_error: 0.3342 - y2_output_root_mean_squared_error: 0.4591 - val_loss: 1.0558 - val_y1_output_loss: 0.2124 - val_y2_output_loss: 0.9027 - val_y1_output_root_mean_squared_error: 0.4678 - val_y2_output_root_mean_squared_error: 0.9148
Epoch 474/500
614/614 [==============================] - 0s 158us/sample - loss: 0.5263 - y1_output_loss: 0.1563 - y2_output_loss: 0.3664 - y1_output_root_mean_squared_error: 0.3972 - y2_output_root_mean_squared_error: 0.6071 - val_loss: 0.8615 - val_y1_output_loss: 0.1858 - val_y2_output_loss: 0.7165 - val_y1_output_root_mean_squared_error: 0.4357 - val_y2_output_root_mean_squared_error: 0.8196
Epoch 475/500
614/614 [==============================] - 0s 163us/sample - loss: 0.3952 - y1_output_loss: 0.1252 - y2_output_loss: 0.2731 - y1_output_root_mean_squared_error: 0.3550 - y2_output_root_mean_squared_error: 0.5189 - val_loss: 1.7089 - val_y1_output_loss: 0.1657 - val_y2_output_loss: 1.6188 - val_y1_output_root_mean_squared_error: 0.4114 - val_y2_output_root_mean_squared_error: 1.2408
Epoch 476/500
614/614 [==============================] - 0s 145us/sample - loss: 0.3478 - y1_output_loss: 0.1056 - y2_output_loss: 0.2410 - y1_output_root_mean_squared_error: 0.3259 - y2_output_root_mean_squared_error: 0.4915 - val_loss: 0.8680 - val_y1_output_loss: 0.1805 - val_y2_output_loss: 0.7457 - val_y1_output_root_mean_squared_error: 0.4301 - val_y2_output_root_mean_squared_error: 0.8264
Epoch 477/500
614/614 [==============================] - 0s 141us/sample - loss: 0.3208 - y1_output_loss: 0.0972 - y2_output_loss: 0.2209 - y1_output_root_mean_squared_error: 0.3130 - y2_output_root_mean_squared_error: 0.4720 - val_loss: 0.7291 - val_y1_output_loss: 0.1769 - val_y2_output_loss: 0.5689 - val_y1_output_root_mean_squared_error: 0.4249 - val_y2_output_root_mean_squared_error: 0.7406
Epoch 478/500
614/614 [==============================] - 0s 140us/sample - loss: 0.3591 - y1_output_loss: 0.1224 - y2_output_loss: 0.2415 - y1_output_root_mean_squared_error: 0.3471 - y2_output_root_mean_squared_error: 0.4885 - val_loss: 2.0479 - val_y1_output_loss: 0.5113 - val_y2_output_loss: 1.4897 - val_y1_output_root_mean_squared_error: 0.7230 - val_y2_output_root_mean_squared_error: 1.2349
Epoch 479/500
614/614 [==============================] - 0s 185us/sample - loss: 0.3093 - y1_output_loss: 0.1058 - y2_output_loss: 0.2036 - y1_output_root_mean_squared_error: 0.3234 - y2_output_root_mean_squared_error: 0.4524 - val_loss: 1.2498 - val_y1_output_loss: 0.4778 - val_y2_output_loss: 0.8194 - val_y1_output_root_mean_squared_error: 0.6987 - val_y2_output_root_mean_squared_error: 0.8727
Epoch 480/500
614/614 [==============================] - 0s 155us/sample - loss: 0.4026 - y1_output_loss: 0.1245 - y2_output_loss: 0.2756 - y1_output_root_mean_squared_error: 0.3540 - y2_output_root_mean_squared_error: 0.5266 - val_loss: 0.8823 - val_y1_output_loss: 0.2259 - val_y2_output_loss: 0.6646 - val_y1_output_root_mean_squared_error: 0.4787 - val_y2_output_root_mean_squared_error: 0.8081
Epoch 481/500
614/614 [==============================] - 0s 158us/sample - loss: 0.3780 - y1_output_loss: 0.1330 - y2_output_loss: 0.2425 - y1_output_root_mean_squared_error: 0.3656 - y2_output_root_mean_squared_error: 0.4943 - val_loss: 0.6953 - val_y1_output_loss: 0.1682 - val_y2_output_loss: 0.5619 - val_y1_output_root_mean_squared_error: 0.4168 - val_y2_output_root_mean_squared_error: 0.7222
Epoch 482/500
614/614 [==============================] - 0s 144us/sample - loss: 0.3852 - y1_output_loss: 0.1139 - y2_output_loss: 0.2698 - y1_output_root_mean_squared_error: 0.3380 - y2_output_root_mean_squared_error: 0.5205 - val_loss: 0.8818 - val_y1_output_loss: 0.2373 - val_y2_output_loss: 0.6867 - val_y1_output_root_mean_squared_error: 0.4944 - val_y2_output_root_mean_squared_error: 0.7984
Epoch 483/500
614/614 [==============================] - 0s 137us/sample - loss: 0.3790 - y1_output_loss: 0.1161 - y2_output_loss: 0.2623 - y1_output_root_mean_squared_error: 0.3412 - y2_output_root_mean_squared_error: 0.5124 - val_loss: 0.8813 - val_y1_output_loss: 0.1795 - val_y2_output_loss: 0.7009 - val_y1_output_root_mean_squared_error: 0.4279 - val_y2_output_root_mean_squared_error: 0.8356
Epoch 484/500
614/614 [==============================] - 0s 144us/sample - loss: 0.4382 - y1_output_loss: 0.1120 - y2_output_loss: 0.3246 - y1_output_root_mean_squared_error: 0.3353 - y2_output_root_mean_squared_error: 0.5707 - val_loss: 0.9459 - val_y1_output_loss: 0.1915 - val_y2_output_loss: 0.8005 - val_y1_output_root_mean_squared_error: 0.4431 - val_y2_output_root_mean_squared_error: 0.8658
Epoch 485/500
614/614 [==============================] - 0s 146us/sample - loss: 0.2564 - y1_output_loss: 0.0991 - y2_output_loss: 0.1580 - y1_output_root_mean_squared_error: 0.3154 - y2_output_root_mean_squared_error: 0.3962 - val_loss: 1.0220 - val_y1_output_loss: 0.1931 - val_y2_output_loss: 0.8963 - val_y1_output_root_mean_squared_error: 0.4440 - val_y2_output_root_mean_squared_error: 0.9082
Epoch 486/500
614/614 [==============================] - 0s 143us/sample - loss: 0.4275 - y1_output_loss: 0.1271 - y2_output_loss: 0.3007 - y1_output_root_mean_squared_error: 0.3561 - y2_output_root_mean_squared_error: 0.5484 - val_loss: 0.9688 - val_y1_output_loss: 0.3098 - val_y2_output_loss: 0.6881 - val_y1_output_root_mean_squared_error: 0.5659 - val_y2_output_root_mean_squared_error: 0.8053
Epoch 487/500
614/614 [==============================] - 0s 145us/sample - loss: 0.3386 - y1_output_loss: 0.1173 - y2_output_loss: 0.2189 - y1_output_root_mean_squared_error: 0.3438 - y2_output_root_mean_squared_error: 0.4695 - val_loss: 0.7391 - val_y1_output_loss: 0.1868 - val_y2_output_loss: 0.5826 - val_y1_output_root_mean_squared_error: 0.4377 - val_y2_output_root_mean_squared_error: 0.7400
Epoch 488/500
614/614 [==============================] - 0s 148us/sample - loss: 0.2981 - y1_output_loss: 0.1103 - y2_output_loss: 0.1875 - y1_output_root_mean_squared_error: 0.3326 - y2_output_root_mean_squared_error: 0.4330 - val_loss: 0.9840 - val_y1_output_loss: 0.2804 - val_y2_output_loss: 0.7122 - val_y1_output_root_mean_squared_error: 0.5382 - val_y2_output_root_mean_squared_error: 0.8333
Epoch 489/500
614/614 [==============================] - 0s 150us/sample - loss: 0.3133 - y1_output_loss: 0.1073 - y2_output_loss: 0.2034 - y1_output_root_mean_squared_error: 0.3285 - y2_output_root_mean_squared_error: 0.4531 - val_loss: 0.7899 - val_y1_output_loss: 0.2103 - val_y2_output_loss: 0.6002 - val_y1_output_root_mean_squared_error: 0.4620 - val_y2_output_root_mean_squared_error: 0.7592
Epoch 490/500
614/614 [==============================] - 0s 144us/sample - loss: 0.3224 - y1_output_loss: 0.1100 - y2_output_loss: 0.2149 - y1_output_root_mean_squared_error: 0.3299 - y2_output_root_mean_squared_error: 0.4622 - val_loss: 1.3036 - val_y1_output_loss: 0.2815 - val_y2_output_loss: 0.9991 - val_y1_output_root_mean_squared_error: 0.5313 - val_y2_output_root_mean_squared_error: 1.0106
Epoch 491/500
614/614 [==============================] - 0s 140us/sample - loss: 0.5594 - y1_output_loss: 0.1463 - y2_output_loss: 0.4088 - y1_output_root_mean_squared_error: 0.3833 - y2_output_root_mean_squared_error: 0.6423 - val_loss: 0.7998 - val_y1_output_loss: 0.1968 - val_y2_output_loss: 0.6200 - val_y1_output_root_mean_squared_error: 0.4494 - val_y2_output_root_mean_squared_error: 0.7732
Epoch 492/500
614/614 [==============================] - 0s 142us/sample - loss: 0.3747 - y1_output_loss: 0.1017 - y2_output_loss: 0.2714 - y1_output_root_mean_squared_error: 0.3185 - y2_output_root_mean_squared_error: 0.5228 - val_loss: 0.7679 - val_y1_output_loss: 0.1950 - val_y2_output_loss: 0.6073 - val_y1_output_root_mean_squared_error: 0.4480 - val_y2_output_root_mean_squared_error: 0.7531
Epoch 493/500
614/614 [==============================] - 0s 134us/sample - loss: 0.3621 - y1_output_loss: 0.1229 - y2_output_loss: 0.2427 - y1_output_root_mean_squared_error: 0.3467 - y2_output_root_mean_squared_error: 0.4918 - val_loss: 1.9349 - val_y1_output_loss: 0.5582 - val_y2_output_loss: 1.3415 - val_y1_output_root_mean_squared_error: 0.7523 - val_y2_output_root_mean_squared_error: 1.1700
Epoch 494/500
614/614 [==============================] - 0s 142us/sample - loss: 0.2876 - y1_output_loss: 0.1175 - y2_output_loss: 0.1727 - y1_output_root_mean_squared_error: 0.3397 - y2_output_root_mean_squared_error: 0.4150 - val_loss: 1.1845 - val_y1_output_loss: 0.3016 - val_y2_output_loss: 0.8758 - val_y1_output_root_mean_squared_error: 0.5559 - val_y2_output_root_mean_squared_error: 0.9357
Epoch 495/500
614/614 [==============================] - 0s 145us/sample - loss: 0.2780 - y1_output_loss: 0.1026 - y2_output_loss: 0.1774 - y1_output_root_mean_squared_error: 0.3201 - y2_output_root_mean_squared_error: 0.4190 - val_loss: 1.0579 - val_y1_output_loss: 0.2066 - val_y2_output_loss: 0.9171 - val_y1_output_root_mean_squared_error: 0.4603 - val_y2_output_root_mean_squared_error: 0.9198
Epoch 496/500
614/614 [==============================] - 0s 148us/sample - loss: 0.3347 - y1_output_loss: 0.1065 - y2_output_loss: 0.2263 - y1_output_root_mean_squared_error: 0.3272 - y2_output_root_mean_squared_error: 0.4771 - val_loss: 0.9214 - val_y1_output_loss: 0.1945 - val_y2_output_loss: 0.7852 - val_y1_output_root_mean_squared_error: 0.4465 - val_y2_output_root_mean_squared_error: 0.8497
Epoch 497/500
614/614 [==============================] - 0s 141us/sample - loss: 0.3583 - y1_output_loss: 0.1158 - y2_output_loss: 0.2398 - y1_output_root_mean_squared_error: 0.3412 - y2_output_root_mean_squared_error: 0.4919 - val_loss: 0.8153 - val_y1_output_loss: 0.1788 - val_y2_output_loss: 0.6851 - val_y1_output_root_mean_squared_error: 0.4288 - val_y2_output_root_mean_squared_error: 0.7946
Epoch 498/500
614/614 [==============================] - 0s 142us/sample - loss: 0.3068 - y1_output_loss: 0.1107 - y2_output_loss: 0.1959 - y1_output_root_mean_squared_error: 0.3330 - y2_output_root_mean_squared_error: 0.4426 - val_loss: 0.9883 - val_y1_output_loss: 0.3750 - val_y2_output_loss: 0.6368 - val_y1_output_root_mean_squared_error: 0.6228 - val_y2_output_root_mean_squared_error: 0.7748
Epoch 499/500
614/614 [==============================] - 0s 138us/sample - loss: 0.2990 - y1_output_loss: 0.1146 - y2_output_loss: 0.1838 - y1_output_root_mean_squared_error: 0.3390 - y2_output_root_mean_squared_error: 0.4291 - val_loss: 0.7575 - val_y1_output_loss: 0.1538 - val_y2_output_loss: 0.6297 - val_y1_output_root_mean_squared_error: 0.3969 - val_y2_output_root_mean_squared_error: 0.7746
Epoch 500/500
614/614 [==============================] - 0s 139us/sample - loss: 0.4114 - y1_output_loss: 0.1169 - y2_output_loss: 0.2925 - y1_output_root_mean_squared_error: 0.3415 - y2_output_root_mean_squared_error: 0.5430 - val_loss: 0.8202 - val_y1_output_loss: 0.1839 - val_y2_output_loss: 0.6803 - val_y1_output_root_mean_squared_error: 0.4337 - val_y2_output_root_mean_squared_error: 0.7951

Evaluate the Model and Plot Metrics

# Test the model and print loss and mse for both outputs
loss, Y1_loss, Y2_loss, Y1_rmse, Y2_rmse = model.evaluate(x=norm_test_X, y=test_Y)
print("Loss = {}, Y1_loss = {}, Y1_mse = {}, Y2_loss = {}, Y2_mse = {}".format(loss, Y1_loss, Y1_rmse, Y2_loss, Y2_rmse))

154/154 [==============================] - 0s 38us/sample - loss: 0.8202 - y1_output_loss: 0.1893 - y2_output_loss: 0.6433 - y1_output_root_mean_squared_error: 0.4337 - y2_output_root_mean_squared_error: 0.7951
Loss = 0.8201755068518899, Y1_loss = 0.18929696083068848, Y1_mse = 0.4336632788181305, Y2_loss = 0.6432703137397766, Y2_mse = 0.7950544953346252

# Plot the loss and mse
Y_pred = model.predict(norm_test_X)
plot_diff(test_Y[0], Y_pred[0], title='Y1')
plot_diff(test_Y[1], Y_pred[1], title='Y2')
plot_metrics(metric_name='y1_output_root_mean_squared_error', title='Y1 RMSE', ylim=6)
plot_metrics(metric_name='y2_output_root_mean_squared_error', title='Y2 RMSE', ylim=7)