opencompass / tmp /10481e04-ca08-4f83-972f-e8fccc958b91_params.py
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datasets = [
[
dict(
abbr='triviaqa_wiki_1shot_0',
eval_cfg=dict(
evaluator=dict(type='opencompass.datasets.TriviaQAEvaluator'),
pred_role='BOT'),
infer_cfg=dict(
ice_template=dict(
template='Q: {question}\nA: {answer}.\n',
type=
'opencompass.openicl.icl_prompt_template.PromptTemplate'),
inferencer=dict(
max_out_len=50,
stopping_criteria=[
'Q:',
'\n',
],
type='opencompass.openicl.icl_inferencer.GenInferencer'),
prompt_template=dict(
ice_token='</E>',
template='</E>Q: {question}\nA: ',
type=
'opencompass.openicl.icl_prompt_template.PromptTemplate'),
retriever=dict(
fix_id_list=[
0,
],
type='opencompass.openicl.icl_retriever.FixKRetriever')),
path='opencompass/trivia_qa',
reader_cfg=dict(
input_columns=[
'question',
],
output_column='answer',
test_range='[0:1000]',
test_split='validation',
train_split='train'),
type='opencompass.datasets.TriviaQADatasetV2'),
],
]
models = [
dict(
abbr='mask_gdn_1B_hrr-rank4_hf',
batch_size=8,
generation_kwargs=dict(),
max_out_len=256,
max_seq_len=None,
model_kwargs=dict(),
pad_token_id=None,
path='/mnt/jfzn/msj/train_exp/mask_gdn_1B_hrr-rank4',
peft_kwargs=dict(),
peft_path=None,
run_cfg=dict(num_gpus=1),
stop_words=[],
tokenizer_kwargs=dict(),
tokenizer_path=None,
type='opencompass.models.huggingface_above_v4_33.HuggingFaceBaseModel'
),
]
work_dir = 'outputs/default/20251127_190244'