Update phishing_email_detection_gpt2.py

Temporary test to fast forward to cerebros model.

Author: david-thrower

phishing_email_detection_gpt2.py

@@ -137,6 +137,8 @@ def from_config(cls, config):
 binary_output = tf.keras.layers.Dense(1, activation='sigmoid')(gpt2_layer)
 gpt_baseline_model = Model(inputs=input_layer, outputs=binary_output)
 
+## Un - string out this
+"""
 gpt_baseline_model.compile(
     optimizer=Adam(learning_rate=1e-4),  # Small LR since we're fine-tuning GPT
     loss='binary_crossentropy',
@@ -176,6 +178,8 @@ def from_config(cls, config):
 hy_df = pd.DataFrame(history.history)
 print(hy_df)
 
+"""
+
 ### Cerebros model:
 
 # TokenizerLayer class to handle tokenization and return only token_ids