OpenCompass/configs/eval_demo.py
Ezra-Yu 0c6fb6cf67
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Co-authored-by: gaotongxiao <gaotongxiao@gmail.com>
2023-07-08 16:40:24 +08:00

51 lines
1.8 KiB
Python

from mmengine.config import read_base
with read_base():
from .datasets.winograd.winograd_ppl import winograd_datasets
from .datasets.siqa.siqa_gen import siqa_datasets
datasets = [*siqa_datasets, *winograd_datasets]
from opencompass.models import HuggingFaceCausalLM
# OPT-350M
opt350m = dict(
type=HuggingFaceCausalLM,
# the folowing are HuggingFaceCausalLM init parameters
path='facebook/opt-350m',
tokenizer_path='facebook/opt-350m',
tokenizer_kwargs=dict(
padding_side='left',
truncation_side='left',
proxies=None,
trust_remote_code=True),
model_kwargs=dict(device_map='auto'),
max_seq_len=2048,
# the folowing are not HuggingFaceCausalLM init parameters
abbr='opt350m', # Model abbreviation
max_out_len=100, # Maximum number of generated tokens
batch_size=64,
run_cfg=dict(num_gpus=1), # Run configuration for specifying resource requirements
)
# OPT-125M
opt125m = dict(
type=HuggingFaceCausalLM,
# the folowing are HuggingFaceCausalLM init parameters
path='facebook/opt-125m',
tokenizer_path='facebook/opt-125m',
tokenizer_kwargs=dict(
padding_side='left',
truncation_side='left',
proxies=None,
trust_remote_code=True),
model_kwargs=dict(device_map='auto'),
max_seq_len=2048,
# the folowing are not HuggingFaceCausalLM init parameters
abbr='opt125m', # Model abbreviation
max_out_len=100, # Maximum number of generated tokens
batch_size=128,
run_cfg=dict(num_gpus=1), # Run configuration for specifying resource requirements
)
models = [opt350m, opt125m]