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small update to run_glue
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@ -382,7 +382,8 @@ def main():
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# Save a trained model, configuration and tokenizer using `save_pretrained()`.
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# They can then be reloaded using `from_pretrained()`
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model.save_pretrained(args.output_dir)
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model_to_save = model.module if hasattr(model, 'module') else model # Take care of distributed/parallel training
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model_to_save.save_pretrained(args.output_dir)
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tokenizer.save_pretrained(args.output_dir)
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# Good practice: save your training arguments together with the trained model
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