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fix: Rename 'evaluation_strategy' to 'eval_strategy' in training

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Trenten Miller 2025-10-28 15:48:04 -04:00 committed by GitHub
parent 338ae36f73
commit 6871484398
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1 changed files with 2 additions and 2 deletions
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4
modules/training.py
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@ -611,7 +611,7 @@ def do_train(lora_name: str, always_override: bool, q_proj_en: bool, v_proj_en:
bf16=shared.args.bf16,
optim=optimizer,
logging_steps=2 if stop_at_loss > 0 else 5,
evaluation_strategy="steps" if eval_data is not None else "no",
eval_strategy="steps" if eval_data is not None else "no",
eval_steps=math.ceil(eval_steps / gradient_accumulation_steps) if eval_data is not None else None,
save_strategy="steps" if eval_data is not None else "no",
output_dir=lora_file_path,
@ -620,7 +620,7 @@ def do_train(lora_name: str, always_override: bool, q_proj_en: bool, v_proj_en:
# TODO: Enable multi-device support
ddp_find_unused_parameters=None,
no_cuda=shared.args.cpu,
use_ipex=True if is_torch_xpu_available() and not shared.args.cpu else False
# use_ipex=True if is_torch_xpu_available() and not shared.args.cpu else False
),
data_collator=transformers.DataCollatorForLanguageModeling(shared.tokenizer, mlm=False),
callbacks=list([Callbacks()])