tpu

model_training_nnn_tpu/train_model.py

@@ -0,0 +1,25 @@
+import argparse
+from omegaconf import OmegaConf
+from rnn_trainer import BrainToTextDecoder_Trainer
+
+def main():
+    parser = argparse.ArgumentParser(description='Train Brain-to-Text RNN Model')
+    parser.add_argument('--config_path', default='rnn_args.yaml',
+                       help='Path to configuration file (default: rnn_args.yaml)')
+
+    args = parser.parse_args()
+
+    # Load configuration
+    config = OmegaConf.load(args.config_path)
+
+    # Initialize trainer
+    trainer = BrainToTextDecoder_Trainer(config)
+
+    # Start training
+    trainer.train()
+
+    print("Training completed successfully!")
+    print(f"Best validation PER: {trainer.best_val_PER:.5f}")
+
+if __name__ == "__main__":
+    main()