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fix logprob, add filtering, temperature annealing, lr descent
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@@ -22,7 +22,7 @@ if __name__ == "__main__":
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inference_model_config = dict(path=args.model)
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train_model_config = dict(path=args.model)
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generate_config = dict(top_k=50, top_p=0.9, temperature=0.7)
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generate_config = dict(top_k=50, top_p=0.75, temperature=0.9)
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if args.backend == "transformers":
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inference_model_config.update(
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