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{ | |
"loader": "loaders/newsroom.py", | |
"dataset": "data/train-data/newsroom", | |
"indices": "data/train-data/newsroom/indices.npy", | |
"model_dir": "data/models/newsroom-CR75", | |
"verbose": true, | |
"print_every": 1, | |
"eval_every": 50, | |
"save_every": 50, | |
"max_val_steps": 512, | |
"max_train_seconds": null, | |
"max_train_steps": 8000, | |
"batch_size": 4, | |
"learning_rate": 1e-05, | |
"k_samples": 100, | |
"sample_aggregation": "max", | |
"loss": "pgb", | |
"encoder_model_id": "distilroberta-base", | |
"rewards": { | |
"Fluency": { | |
"weight": 1, | |
"type": "masked", | |
"model_id": "distilroberta-base", | |
"max_score": 40.0, | |
"norm": "max" | |
}, | |
"BiEncoderSimilarity": { | |
"weight": 1, | |
"model_id": "all-distilroberta-v1" | |
}, | |
"GaussianCR": { | |
"weight": 1, | |
"mean": 0.75, | |
"std": 0.3 | |
} | |
} | |
} | |