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fix reward model loading

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Former-commit-id: 9709ca501180a1afce32e9043aedb359762b437d
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hiyouga
2023-11-07 17:20:51 +08:00
parent 857696ed9c
commit f23e5b602a
6 changed files with 34 additions and 24 deletions
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12
src/llmtuner/tuner/rm/workflow.py
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@@ -53,11 +53,6 @@ def run_rm(
if trainer.is_world_process_zero() and model_args.plot_loss:
plot_loss(training_args.output_dir, keys=["loss", "eval_loss"])
if training_args.push_to_hub:
trainer.push_to_hub(**generate_model_card(model_args, data_args, finetuning_args))
else:
trainer.create_model_card(**generate_model_card(model_args, data_args, finetuning_args))
# Evaluation
if training_args.do_eval:
metrics = trainer.evaluate(metric_key_prefix="eval")
@@ -70,3 +65,10 @@ def run_rm(
trainer.log_metrics("predict", predict_results.metrics)
trainer.save_metrics("predict", predict_results.metrics)
trainer.save_predictions(predict_results)
# Create model card
if training_args.do_train:
if training_args.push_to_hub:
trainer.push_to_hub(**generate_model_card(model_args, data_args, finetuning_args))
else:
trainer.create_model_card(**generate_model_card(model_args, data_args, finetuning_args))