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remove some unused params

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Former-commit-id: 04315c3d92ecc25537e45d5807cb38bc290dcb16
This commit is contained in:
ancv 2024-06-15 23:00:55 +07:00
parent 045eb155a2
commit 9d9f8c6531
3 changed files with 3 additions and 3 deletions
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2
src/llamafactory/data/processors/supervised.py
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@ -10,7 +10,7 @@ if TYPE_CHECKING:
from transformers import ProcessorMixin
from transformers.tokenization_utils import PreTrainedTokenizer
from ...hparams import DataArguments, FinetuningArguments
from ...hparams import DataArguments
from ..template import Template

2
src/llamafactory/model/model_utils/packing.py
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@ -239,7 +239,7 @@ def configure_packing(config: "PretrainedConfig") -> None:
attn_implementation = getattr(config, "_attn_implementation", None)
if attn_implementation != "flash_attention_2":
raise ValueError("Efficient packing only supports for flash_attention_2. Please set config `flash_attn` is fa2" + " " + attn_implementation)
raise ValueError("Efficient packing only supports for flash_attention_2. Please set config `flash_attn` is fa2")
logger = get_logger(__name__)

2
src/llamafactory/train/kto/workflow.py
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@ -24,7 +24,7 @@ def run_kto(
):
tokenizer_module = load_tokenizer(model_args)
tokenizer = tokenizer_module["tokenizer"]
dataset = get_dataset(model_args, data_args, training_args, finetuning_args, stage="kto", **tokenizer_module)
dataset = get_dataset(model_args, data_args, training_args, stage="kto", **tokenizer_module)
model = load_model(tokenizer, model_args, finetuning_args, training_args.do_train)
data_collator = KTODataCollatorWithPadding(