| from model import model | |
| from data_splitting import num_classes, X_train, X_val, input_size | |
| from data_preparing import y_train_encoded, y_val_encoded | |
| from model_callbacks import optimizer, early_stopping, lr_scheduler_callback | |
| model.compile(loss='categorical_crossentropy', optimizer=optimizer, metrics=['accuracy']) | |
| model.fit(X_train, y_train_encoded, epochs=10, batch_size=32, validation_data=(X_val, y_val_encoded), callbacks=[early_stopping,lr_scheduler_callback]) | |
| model.save('full_language_identifcation_model1.h5') |