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Refactor #88

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merged 2 commits into from
Oct 8, 2023
Merged

Refactor #88

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7786b20
add predicted_out_filename parameter to save predicted outcomes
Jian1273 Oct 8, 2023
6afcaf3
Merge branch 'refactor' of https://github.com/eosphoros-ai/DB-GPT-Hub…
Jian1273 Oct 8, 2023
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7 changes: 7 additions & 0 deletions dbgpt_hub/configs/data_args.py
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Expand Up @@ -156,6 +156,13 @@ class DataArguments:
"help": "Size of the development set, should be an integer or a float in range `[0,1)`."
},
)
predicted_out_filename: Optional[str] = field(
default="pred_sql.sql",
metadata={
"help": "Filename to save predicted outcomes"
},
)


def init_for_training(self): # support mixing multiple datasets
dataset_names = [ds.strip() for ds in self.dataset.split(",")]
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6 changes: 3 additions & 3 deletions dbgpt_hub/llm_base/chat_model.py
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Expand Up @@ -16,12 +16,12 @@
class ChatModel:

def __init__(self, args: Optional[Dict[str, Any]] = None) -> None:
model_args, data_args, finetuning_args, self.generating_args = get_infer_args(args)
model_args, self.data_args, finetuning_args, self.generating_args = get_infer_args(args)
self.model, self.tokenizer = load_model_and_tokenizer(model_args, finetuning_args)
self.tokenizer.padding_side = "left"
self.model = dispatch_model(self.model)
self.template = get_template_and_fix_tokenizer(data_args.template, self.tokenizer)
self.system_prompt = data_args.system_prompt
self.template = get_template_and_fix_tokenizer(self.data_args.template, self.tokenizer)
self.system_prompt = self.data_args.system_prompt

def process_args(
self,
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6 changes: 3 additions & 3 deletions dbgpt_hub/predict/predict.py
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Expand Up @@ -18,8 +18,8 @@ def prepare_dataset() -> List[Dict]:
def inference(model: ChatModel, predict_data: List[Dict], **input_kwargs):
res = []
#test
for item in predict_data[:20]:
# for item in predict_data:
# for item in predict_data[:20]:
for item in predict_data:
response, _ = model.chat(
query=item["input"],
history=[],
Expand All @@ -36,7 +36,7 @@ def main():
if not os.path.exists(predict_out_dir):
os.mkdir(predict_out_dir)

predict_output_dir_name = os.path.join(predict_out_dir, PREDICTED_OUT_FILENAME)
predict_output_dir_name = os.path.join(predict_out_dir, model.data_args.predicted_out_filename)
print(f"predict_output_dir_name \t{predict_output_dir_name}")

with open(predict_output_dir_name, "w") as f:
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23 changes: 12 additions & 11 deletions dbgpt_hub/scripts/predict_sft.sh
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@@ -1,17 +1,18 @@
## shijian llama2 test
# CUDA_VISIBLE_DEVICES=0,1 python dbgpt_hub/predict/predict.py \
# --model_name_or_path Llama-2-13b-chat-hf \
# --template llama2 \
# --finetuning_type lora \
# --checkpoint_dir dbgpt_hub/output/adapter
CUDA_VISIBLE_DEVICES=0,1 python dbgpt_hub/predict/predict.py \
--model_name_or_path Llama-2-13b-chat-hf \
--template llama2 \
--finetuning_type lora \
--checkpoint_dir dbgpt_hub/output/adapter/llama2-13b-qlora \
--predicted_out_filename pred_sql.sql

# # wangzai baichua2_eval test
CUDA_VISIBLE_DEVICES=0 python dbgpt_hub/predict/predict.py \
--model_name_or_path /home/model/Baichuan2-13B-Chat \
--template baichuan2_eval \
--quantization_bit 4 \
--finetuning_type lora \
--checkpoint_dir dbgpt_hub/output/adapter/baichuan2-13b-qlora
# CUDA_VISIBLE_DEVICES=0 python dbgpt_hub/predict/predict.py \
# --model_name_or_path /home/model/Baichuan2-13B-Chat \
# --template baichuan2_eval \
# --quantization_bit 4 \
# --finetuning_type lora \
# --checkpoint_dir dbgpt_hub/output/adapter/baichuan2-13b-qlora


## wangzai codellama2_pred test a100
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