don't save model without training
This commit is contained in:
committed by
Julien Chaumond
parent
189ff9b664
commit
40acf6b52a
@@ -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.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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