b2txt25/model_training_nnn/train_model.py

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()