| | from experiment import setup_experiment |
| | from data_utils import load_chatbot_data, load_personas |
| |
|
| | def main(): |
| | print("Starting main function...") |
| | |
| | print("Loading chatbot data...") |
| | train_data, val_data, train_labels, val_labels = load_chatbot_data("/home/ath/AI/lmsys_chatbot_arena_human/kaggle/input/lmsys-chatbot-arena/train.csv", sample_frac=0.05) |
| | print(f"Loaded {len(train_data)} training samples and {len(val_data)} validation samples.") |
| | print("Loading personas...") |
| | personas = load_personas() |
| | print(f"Loaded {len(personas)} personas.") |
| |
|
| | |
| | print("Setting up experiment...") |
| | experiment, train_loader = setup_experiment(train_data, train_labels, batch_size=4, max_length=64) |
| |
|
| | |
| | if experiment.load_state(): |
| | print("Resuming experiment from saved state.") |
| | else: |
| | print("No saved state found. Starting new experiment.") |
| |
|
| | |
| | print("Running experiment...") |
| | experiment.run_experiment(train_loader, num_iterations=500) |
| | print("Main function completed.") |
| |
|
| | if __name__ == "__main__": |
| | main() |
| |
|