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LLaMA-Factory-Mirror
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update args spec

This commit is contained in:
hiyouga 2023-08-07 15:23:35 +08:00
parent 20cf27976f
commit 5453b93db0
1 changed files with 7 additions and 4 deletions
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11
src/llmtuner/hparams/finetuning_args.py
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@ -20,7 +20,8 @@ class FinetuningArguments:
BLOOM choices: [\"24\", \"30\", \"70\"], \
Falcon choices: [\"32\", \"60\"], \
Baichuan choices: [\"32\", \"40\"] \
Qwen choices: [\"32\"]"}
Qwen choices: [\"32\"], \
XVERSE choices: [\"40\"]"}
)
num_layer_trainable: Optional[int] = field(
default=3,
@ -32,7 +33,8 @@ class FinetuningArguments:
LLaMA & LLaMA-2 choices: [\"mlp\", \"self_attn\"], \
BLOOM & Falcon choices: [\"mlp\", \"self_attention\"], \
Baichuan choices: [\"mlp\", \"self_attn\"], \
Qwen choices: [\"attn\", \"mlp\"]"}
Qwen choices: [\"mlp\", \"attn\"], \
InternLM, XVERSE choices: the same as LLaMA."}
)
lora_rank: Optional[int] = field(
default=8,
@ -49,10 +51,11 @@ 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 & LLaMA-2 & InternLM 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\"], \
Qwen choices: [\"c_attn\", \"c_proj\", \"w1\", \"w2\"]"}
Qwen choices: [\"c_attn\", \"attn.c_proj\", \"w1\", \"w2\", \"mlp.c_proj\"], \
InternLM, XVERSE choices: the same as LLaMA."}
)
def __post_init__(self):