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improve export model code #120

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merged 2 commits into from
Nov 3, 2023
Merged

improve export model code #120

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4d7b38e
Update model_trainer.py
zhanghy-sketchzh Nov 3, 2023
dfde6a2
Update config_parser.py
zhanghy-sketchzh Nov 3, 2023
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6 changes: 4 additions & 2 deletions dbgpt_hub/llm_base/config_parser.py
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Original file line number Diff line number Diff line change
Expand Up @@ -93,7 +93,8 @@ def parse_infer_args(


def get_train_args(
args: Optional[Dict[str, Any]] = None
args: Optional[Dict[str, Any]] = None,
data_args_init: bool = True
) -> Tuple[
ModelArguments,
DataArguments,
Expand Down Expand Up @@ -121,7 +122,8 @@ def get_train_args(
transformers.utils.logging.enable_explicit_format()

# Check arguments (do not check finetuning_args since it may be loaded from checkpoints)
data_args.init_for_training()
if data_args_init:
data_args.init_for_training()

if training_args.max_steps == -1 and data_args.streaming:
raise ValueError("Please specify `max_steps` in streaming mode.")
Expand Down
2 changes: 1 addition & 1 deletion dbgpt_hub/llm_base/model_trainer.py
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Expand Up @@ -401,7 +401,7 @@ def plot_loss(
def export_model(
args: Optional[Dict[str, Any]] = None, max_shard_size: Optional[str] = "10GB"
):
model_args, _, training_args, finetuning_args, _ = get_train_args(args)
model_args, _, training_args, finetuning_args, _ = get_train_args(args, data_args_init=False)
model, tokenizer = load_model_and_tokenizer(model_args, finetuning_args)
model.save_pretrained(training_args.output_dir, max_shard_size=max_shard_size)
try:
Expand Down