update trainer
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@ -67,7 +67,10 @@ class PeftTrainer(Seq2SeqTrainer):
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torch.save(state_dict, os.path.join(output_dir, WEIGHTS_NAME))
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if self.finetuning_args.finetuning_type == "full" and self.tokenizer is not None:
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self.tokenizer.save_pretrained(output_dir)
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try:
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self.tokenizer.save_pretrained(output_dir)
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except:
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logger.warning("Cannot save tokenizer, copy the files manually.")
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with open(os.path.join(output_dir, TRAINING_ARGS_NAME), "w", encoding="utf-8") as f:
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f.write(self.args.to_json_string() + "\n")
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