kyy/llm_trainer
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

use pre-commit

Browse Source
This commit is contained in:
hiyouga
2024-10-29 09:07:46 +00:00
parent 77666bd227
commit 21db8ed2f4
86 changed files with 1048 additions and 1064 deletions
Download Patch File Download Diff File Expand all files Collapse all files

6
src/llamafactory/model/loader.py
View File

@@ -100,7 +100,7 @@ def load_tokenizer(model_args: "ModelArguments") -> "TokenizerModule":
processor = AutoProcessor.from_pretrained(model_args.model_name_or_path, **init_kwargs)
patch_processor(processor, config, tokenizer, model_args)
except Exception as e:
logger.warning("Processor was not found: {}.".format(e))
logger.warning(f"Processor was not found: {e}.")
processor = None
# Avoid load tokenizer, see:
@@ -180,7 +180,7 @@ def load_model(
vhead_params = load_valuehead_params(vhead_path, model_args)
if vhead_params is not None:
model.load_state_dict(vhead_params, strict=False)
logger.info("Loaded valuehead from checkpoint: {}".format(vhead_path))
logger.info(f"Loaded valuehead from checkpoint: {vhead_path}")
if not is_trainable:
model.requires_grad_(False)
@@ -198,7 +198,7 @@ def load_model(
trainable_params, all_param, 100 * trainable_params / all_param
)
else:
param_stats = "all params: {:,}".format(all_param)
param_stats = f"all params: {all_param:,}"
logger.info(param_stats)