Update main.py

main.py

@@ -630,7 +630,18 @@ output_layer = tf.keras.layers.Dense(1,activation='sigmoid',name="Spam")(f1)
 # Create the model
 model = tf.keras.Model(inputs=[string_input, length_input,currency_input,spam_word_input,emoji_input,contain_input,email_input,phone_input], outputs=output_layer)
 
-model.compile(optimizer='adam', loss='binary_crossentropy', metrics=['accuracy'])
+model.compile(optimizer='adam', loss='binary_crossentropy',metrics=['accuracy', 
+                       tf.keras.metrics.Precision(), 
+                       tf.keras.metrics.Recall(), 
+                       tf.keras.metrics.TruePositives(),
+                       tf.keras.metrics.TrueNegatives(),
+                       tf.keras.metrics.FalsePositives(),
+                       tf.keras.metrics.FalseNegatives(),
+                       tf.keras.metrics.AUC(),
+                       tf.keras.metrics.PrecisionAtRecall(0.5),
+                       tf.keras.metrics.SensitivityAtSpecificity(0.5),
+                       tf.keras.metrics.SpecificityAtSensitivity(0.5)]
+             )
 model.summary()
 
 #67248
@@ -668,7 +679,7 @@ model.summary()
 
 # %%
 
-log_dir = f"logs/fit_{datetime.datetime.now()}/" + datetime.datetime.now().strftime("%Y%m%d-%H%M%S")
+log_dir = f"logs/fit/" + datetime.datetime.now().strftime("%Y%m%d-%H%M%S")
 tensorboard_callback = tf.keras.callbacks.TensorBoard(log_dir=log_dir, histogram_freq=1)