add cal_lr.py
Former-commit-id: cea2ba17efc47917e63437a376f220864f7f90dd
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@@ -84,10 +84,9 @@ def load_model_and_tokenizer(
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tokenizer._pad = MethodType(PreTrainedTokenizerBase._pad, tokenizer)
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# Set model dtype
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if model_args.compute_dtype is not None: # for training
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setattr(config, "torch_dtype", model_args.compute_dtype)
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else: # for evaluation, priority: bf16 > fp16 > fp32
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if model_args.compute_dtype is None: # priority: bf16 > fp16 > fp32
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model_args.compute_dtype = infer_optim_dtype(model_dtype=getattr(config, "torch_dtype", None))
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setattr(config, "torch_dtype", model_args.compute_dtype)
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# Fix config (for Qwen)
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if getattr(config, "model_type", None) == "qwen":
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