Merge pull request #1055 from qipeng/run_squad_fix
Fix #1015 (tokenizer defaults to use_lower_case=True when loading from trained models)
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@@ -467,7 +467,7 @@ def main():
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# Load a trained model and vocabulary that you have fine-tuned
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# Load a trained model and vocabulary that you have fine-tuned
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model = model_class.from_pretrained(args.output_dir)
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model = model_class.from_pretrained(args.output_dir)
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tokenizer = tokenizer_class.from_pretrained(args.output_dir)
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tokenizer = tokenizer_class.from_pretrained(args.output_dir, do_lower_case=args.do_lower_case)
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model.to(args.device)
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model.to(args.device)
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@@ -481,7 +481,7 @@ def main():
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# Save the trained model and the tokenizer
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# Save the trained model and the tokenizer
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if args.do_train and args.local_rank == -1 or torch.distributed.get_rank() == 0:
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if args.do_train and (args.local_rank == -1 or torch.distributed.get_rank() == 0):
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# Create output directory if needed
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# Create output directory if needed
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if not os.path.exists(args.output_dir) and args.local_rank in [-1, 0]:
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if not os.path.exists(args.output_dir) and args.local_rank in [-1, 0]:
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os.makedirs(args.output_dir)
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os.makedirs(args.output_dir)
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@@ -498,7 +498,7 @@ def main():
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# Load a trained model and vocabulary that you have fine-tuned
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# Load a trained model and vocabulary that you have fine-tuned
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model = model_class.from_pretrained(args.output_dir)
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model = model_class.from_pretrained(args.output_dir)
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tokenizer = tokenizer_class.from_pretrained(args.output_dir)
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tokenizer = tokenizer_class.from_pretrained(args.output_dir, do_lower_case=args.do_lower_case)
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model.to(args.device)
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model.to(args.device)
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