OpenCompass/configs/multimodal/instructblip/instructblip-mmbench.py
Yuan Liu 191a3f6f9d
[Feature]: Use multimodal (#73)
* [Feature]: Add minigpt-4

* [Feature]: Add mm local runner

* [Feature]: Add instructblip

* [Feature]: Delete redundant file

* [Feature]: Delete redundant file

* [Feature]: Add README to InstructBLIP

* [Feature]: Update MiniGPT-4

* [Fix]: Fix lint

* [Feature]add omnibenchmark readme (#49)

* add omnibenchmark readme

* fix

* Update OmniMMBench.md

* Update OmniMMBench.md

* Update OmniMMBench.md

* [Fix]: Refine name (#54)

* [Feature]: Unify out and err

* [Fix]: Fix lint

* [Feature]: Rename to mmbench and change weight path

* [Feature]: Delete Omni in instructblip

* [Feature]: Check the avaliablity of lavis

* [Fix]: Fix lint

* [Feature]: Refactor MM

* [Refactor]: Refactor path

* [Feature]: Delete redundant files

* [Refactor]: Delete redundant files

---------

Co-authored-by: Wangbo Zhao(黑色枷锁) <56866854+wangbo-zhao@users.noreply.github.com>
2023-08-03 11:07:50 +08:00

46 lines
1.5 KiB
Python

# dataloader settings
val_pipeline = [
dict(type='mmpretrain.torchvision/Resize',
size=(224, 224),
interpolation=3),
dict(type='mmpretrain.torchvision/ToTensor'),
dict(type='mmpretrain.torchvision/Normalize',
mean=(0.48145466, 0.4578275, 0.40821073),
std=(0.26862954, 0.26130258, 0.27577711)),
dict(type='mmpretrain.PackInputs',
algorithm_keys=[
'question', 'answer', 'category', 'l2-category', 'context',
'index', 'options_dict', 'options', 'split'
])
]
dataset = dict(type='opencompass.MMBench',
data_file='data/mmbench/mmbench_test_20230712.tsv',
pipeline=val_pipeline)
dataloader = dict(batch_size=1,
num_workers=4,
dataset=dataset,
collate_fn=dict(type='pseudo_collate'),
sampler=dict(type='DefaultSampler', shuffle=False))
# model settings
model = dict(
type='blip2-vicuna-instruct-mmbench',
freeze_vit=True,
low_resource=False,
llm_model='/path/to/vicuna-7b/',
sys_prompt= # noqa: E251
'###Human: What is the capital of China? There are several options:\nA. Beijing\nB. Shanghai\nC. Guangzhou\nD. Shenzhen\n###Assistant: A\n'
)
# evaluation settings
evaluator = [
dict(
type='opencompass.DumpResults',
save_path= # noqa: E251
'work_dirs/instructblip_vicuna7b/instructblipvicuna_mmbench.xlsx')
]
load_from = '/path/to/instruct_blip_vicuna7b_trimmed.pth' # noqa