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