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Merge pull request #741 from hiyouga/feature-addDatasetCheck 

Feature add dataset check
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codingma 2023-08-31 20:57:36 +08:00 committed by GitHub
parent 9b4d16d040 0bcc489c42
commit 701a9d60cb
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2 changed files with 13 additions and 1 deletions
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2
src/llmtuner/extras/template.py
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@ -285,7 +285,7 @@ register_template(
"Always answer as helpfully as possible, while being safe. "
"Your answers should not include any harmful, unethical, "
"racist, sexist, toxic, dangerous, or illegal content. "
"Please ensure that your responses are socially unbiased and positive in nature.\n"
"Please ensure that your responses are socially unbiased and positive in nature.\n\n"
"If a question does not make any sense, or is not factually coherent, "
"explain why instead of answering something not correct. "
"If you don't know the answer to a question, please don't share false information."

12
src/llmtuner/tuner/core/parser.py
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@ -186,6 +186,18 @@ def get_train_args(
else:
model_args.compute_dtype = torch.float16
# transfer training stage to dataset stage
dataset_stage = general_args.stage
if general_args.stage == "ppo":
dataset_stage = "sft"
elif general_args.stage == "dpo":
dataset_stage = "rm"
for dataset_attr in data_args.dataset_list:
if dataset_attr.stage and dataset_attr.stage != dataset_stage:
raise ValueError("Dataset {} is not supported for the stage {}"
.format(dataset_attr.dataset_name, general_args.stage))
model_args.model_max_length = data_args.max_source_length + data_args.max_target_length
# Log on each process the small summary: