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Merge pull request #900 from mmbwf/main

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Fix PPO replace_model loading wrong default parameters.
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hoshi-hiyouga
2023-09-14 17:34:22 +08:00
committed by GitHub
parent bd4e24bfee 30fb721f12
commit 3202985087
1 changed files with 2 additions and 2 deletions
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4
src/llmtuner/tuner/ppo/utils.py
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@@ -10,8 +10,8 @@ if TYPE_CHECKING:
def replace_model(model: "AutoModelForCausalLMWithValueHead", target: Literal["default", "reward"]) -> None: def replace_model(model: "AutoModelForCausalLMWithValueHead", target: Literal["default", "reward"]) -> None:
if target == "reward": # save default head temporarily if target == "reward": # save default head temporarily
valuehead_state_dict = model.v_head.state_dict() valuehead_state_dict = model.v_head.state_dict()
setattr(model, "default_head_weight", valuehead_state_dict["summary.weight"]) setattr(model, "default_head_weight", valuehead_state_dict["summary.weight"].clone())
setattr(model, "default_head_bias", valuehead_state_dict["summary.bias"]) setattr(model, "default_head_bias", valuehead_state_dict["summary.bias"].clone())
model.pretrained_model.set_adapter(target) # set the LoRA adapter to be active model.pretrained_model.set_adapter(target) # set the LoRA adapter to be active
model.v_head.load_state_dict({ model.v_head.load_state_dict({