test 3

run.py

@@ -1,6 +1,8 @@
 import pandas as pd
 from gensim.models import KeyedVectors
+from sklearn.model_selection import train_test_split
 import tensorflow as tf
+from keras.optimizers import Adam
 import numpy as np
 
 
@@ -41,6 +43,10 @@ def main():
         [text_to_vector(text, word2vec, vector_size) for text in test_A_dataset["Text"]]
     )
 
+    train_vectors, val_vectors, train_labels, val_labels = train_test_split(
+        train_vectors, train_dataset["Class"], test_size=0.1, random_state=42
+    )
+
     # Train a simple neural network
     model = tf.keras.Sequential(
         [
@@ -52,15 +58,16 @@ def main():
     )
 
     model.compile(
-        optimizer="adam",
+        optimizer=Adam(learning_rate=1e-3),
         loss="binary_crossentropy",
         metrics=["accuracy"],
     )
 
     model.fit(
         train_vectors,
-        train_dataset["Class"],
-        epochs=10,
+        train_labels,
+        validation_data=(val_vectors, val_labels),
+        epochs=30,
         batch_size=16,
     )