OpenCompass/examples/eval_multi_prompt_demo.py
Linchen Xiao a6193b4c02
[Refactor] Code refactoarization (#1831)
* Update

* fix lint

* update

* fix lint
2025-01-20 19:17:38 +08:00

53 lines
1.3 KiB
Python

from mmengine.config import read_base
from opencompass.models import HuggingFaceCausalLM
with read_base():
from opencompass.configs.datasets.winogrande.winogrande_gen_a027b6 import \
winogrande_datasets
datasets = [*winogrande_datasets]
_meta_template = dict(round=[
dict(role='HUMAN', begin='<|User|>:', end='<eoh>\n'),
dict(role='BOT', begin='<|Bot|>:', end='<eoa>\n', generate=True),
], )
models = [
dict(
type=HuggingFaceCausalLM,
abbr='internlm-chat-7b-hf',
path='internlm/internlm-chat-7b',
tokenizer_path='internlm/internlm-chat-7b',
tokenizer_kwargs=dict(
padding_side='left',
truncation_side='left',
use_fast=False,
trust_remote_code=True,
),
max_out_len=100,
max_seq_len=2048,
batch_size=8,
meta_template=_meta_template,
model_kwargs=dict(
trust_remote_code=True,
device_map='auto',
),
run_cfg=dict(num_gpus=1, num_procs=1),
)
]
_winogrande_all = [d['abbr'] for d in winogrande_datasets]
summarizer = dict(summary_groups=[
{
'name': 'winogrande',
'subsets': _winogrande_all
},
{
'name': 'winogrande_std',
'subsets': _winogrande_all,
'std': True
},
])