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fix errors for lm_finetuning examples

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yzy5630
2019-07-17 09:56:07 +08:00
parent 60a1bdcdac
commit 123da5a2fa
1 changed files with 8 additions and 7 deletions
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15
examples/lm_finetuning/finetune_on_pregenerated.py
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@@ -325,15 +325,16 @@ def main():
global_step += 1 global_step += 1
# Save a trained model # Save a trained model
logging.info("** ** * Saving fine-tuned model ** ** * ") if torch.distributed.get_rank() == 0:
model_to_save = model.module if hasattr(model, 'module') else model # Only save the model it-self logging.info("** ** * Saving fine-tuned model ** ** * ")
model_to_save = model.module if hasattr(model, 'module') else model # Only save the model it-self
output_model_file = os.path.join(args.output_dir, WEIGHTS_NAME) output_model_file = os.path.join(args.output_dir, WEIGHTS_NAME)
output_config_file = os.path.join(args.output_dir, CONFIG_NAME) output_config_file = os.path.join(args.output_dir, CONFIG_NAME)
torch.save(model_to_save.state_dict(), output_model_file) torch.save(model_to_save.state_dict(), output_model_file)
model_to_save.config.to_json_file(output_config_file) model_to_save.config.to_json_file(output_config_file)
tokenizer.save_vocabulary(args.output_dir) tokenizer.save_vocabulary(args.output_dir)
if __name__ == '__main__': if __name__ == '__main__':