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refactor pissa, improve llamaboard

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Former-commit-id: 619556e46c19718f702c97df5d570a2a4c5fb13a
This commit is contained in:
hiyouga
2024-06-28 01:04:24 +08:00
parent edc7498111
commit 46f0189e88
16 changed files with 219 additions and 216 deletions
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13
src/llamafactory/train/kto/trainer.py
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@@ -27,6 +27,7 @@ from trl import KTOTrainer
from trl.trainer import disable_dropout_in_model
from ...extras.constants import IGNORE_INDEX
from ..callbacks import SaveProcessorCallback
from ..trainer_utils import create_custom_optimzer, create_custom_scheduler, get_batch_logps
@@ -53,7 +54,6 @@ class CustomKTOTrainer(KTOTrainer):
disable_dropout_in_model(ref_model)
self.finetuning_args = finetuning_args
self.processor = processor
self.reference_free = False
self.use_dpo_data_collator = True # hack to avoid warning
self.generate_during_eval = False # disable at evaluation
@@ -90,11 +90,14 @@ class CustomKTOTrainer(KTOTrainer):
self.ref_model = self.accelerator.prepare_model(self.ref_model, evaluation_mode=True)
self.ref_model.eval()
if processor is not None:
self.add_callback(SaveProcessorCallback(processor))
if finetuning_args.use_badam:
from badam import BAdamCallback, clip_grad_norm_old_version
self.accelerator.clip_grad_norm_ = MethodType(clip_grad_norm_old_version, self.accelerator)
self.callback_handler.add_callback(BAdamCallback)
self.add_callback(BAdamCallback)
def create_optimizer(self) -> "torch.optim.Optimizer":
if self.optimizer is None:
@@ -113,12 +116,6 @@ class CustomKTOTrainer(KTOTrainer):
"""
return Trainer._get_train_sampler(self)
def _save(self, output_dir: Optional[str] = None, state_dict: Optional[Dict[str, "torch.Tensor"]] = None) -> None:
super()._save(output_dir, state_dict)
output_dir = output_dir if output_dir is not None else self.args.output_dir
if self.processor is not None:
getattr(self.processor, "image_processor").save_pretrained(output_dir)
def forward(
self, model: "PreTrainedModel", batch: Dict[str, "torch.Tensor"], prefix: Literal["", "kl_"] = ""
) -> Tuple["torch.Tensor", "torch.Tensor"]: