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LLaMA-Factory-Mirror
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fix #194

This commit is contained in:
hiyouga 2023-07-19 17:07:33 +08:00
parent 7a3ade8c69
commit 8f7819fcaa
1 changed files with 4 additions and 3 deletions
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7
src/llmtuner/hparams/finetuning_args.py
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@ -16,9 +16,10 @@ class FinetuningArguments:
default=32,
metadata={"help": "Number of decoder blocks in the model. \
LLaMA choices: [\"32\", \"40\", \"60\", \"80\"], \
LLaMA-2 choices: [\"32\", \"40\", \"80\"], \
BLOOM choices: [\"24\", \"30\", \"70\"], \
Falcon choices: [\"32\", \"60\"], \
Baichuan choices: [\"32\"]"}
Baichuan choices: [\"32\", \"40\"]"}
)
num_layer_trainable: Optional[int] = field(
default=3,
@ -27,7 +28,7 @@ class FinetuningArguments:
name_module_trainable: Optional[Literal["mlp", "self_attn", "self_attention"]] = field(
default="mlp",
metadata={"help": "Name of trainable modules for Freeze fine-tuning. \
LLaMA choices: [\"mlp\", \"self_attn\"], \
LLaMA & LLaMA-2 choices: [\"mlp\", \"self_attn\"], \
BLOOM & Falcon choices: [\"mlp\", \"self_attention\"], \
Baichuan choices: [\"mlp\", \"self_attn\"]"}
)
@ -46,7 +47,7 @@ class FinetuningArguments:
lora_target: Optional[str] = field(
default="q_proj,v_proj",
metadata={"help": "Name(s) of target modules to apply LoRA. Use commas to separate multiple modules. \
LLaMA choices: [\"q_proj\", \"k_proj\", \"v_proj\", \"o_proj\", \"gate_proj\", \"up_proj\", \"down_proj\"], \
LLaMA & LLaMA-2 choices: [\"q_proj\", \"k_proj\", \"v_proj\", \"o_proj\", \"gate_proj\", \"up_proj\", \"down_proj\"], \
BLOOM & Falcon choices: [\"query_key_value\", \"self_attention.dense\", \"mlp.dense\"], \
Baichuan choices: [\"W_pack\", \"o_proj\", \"gate_proj\", \"up_proj\", \"down_proj\"]"}
)