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fix ChatGLM RLHF

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Former-commit-id: af6c011fcb8ea9e5cf2eb4699da33d8668df04b4
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hiyouga 2023-08-15 11:19:20 +08:00
parent 603cb30887
commit a9ab8f71d7
2 changed files with 4 additions and 0 deletions
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2
src/llmtuner/tuner/ppo/trainer.py
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@ -182,6 +182,8 @@ class PPOPeftTrainer(PPOTrainer, PeftTrainer):
replace_model(unwrapped_model, target="reward")
batch = self.prepare_model_inputs(queries, responses)
_, _, values = self.model(**batch, output_hidden_states=True, return_dict=True)
if values.size(0) != batch["input_ids"].size(0):
values = torch.transpose(values, 0, 1)
rewards = [reward for reward in values[:, -1].float().detach().cpu()] # use fp32 type
replace_model(unwrapped_model, target="default")
return rewards

2
src/llmtuner/tuner/rm/trainer.py
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@ -42,6 +42,8 @@ class PairwisePeftTrainer(PeftTrainer):
"""
batch_size = inputs["input_ids"].size(0) // 2
_, _, values = model(**inputs, output_hidden_states=True, return_dict=True)
if values.size(0) != inputs["input_ids"].size(0):
values = torch.transpose(values, 0, 1)
r_accept, r_reject = values[:, -1].split(batch_size, dim=0)
loss = -torch.log(torch.sigmoid(r_accept - r_reject)).mean()
return (loss, [loss, r_accept, r_reject]) if return_outputs else loss