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48 lines
1.8 KiB
Python
48 lines
1.8 KiB
Python
from opencompass.multimodal.models.minigpt_4 import (
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MiniGPT4MMBenchPromptConstructor, MiniGPT4MMBenchPostProcessor)
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# dataloader settings
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val_pipeline = [
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dict(type='mmpretrain.torchvision/Resize',
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size=(224, 224),
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interpolation=3),
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dict(type='mmpretrain.torchvision/ToTensor'),
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dict(type='mmpretrain.torchvision/Normalize',
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mean=(0.48145466, 0.4578275, 0.40821073),
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std=(0.26862954, 0.26130258, 0.27577711)),
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dict(type='mmpretrain.PackInputs',
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algorithm_keys=[
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'question', 'category', 'l2-category', 'context', 'index',
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'options_dict', 'options', 'split'
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])
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]
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dataset = dict(type='opencompass.MMBenchDataset',
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data_file='data/mmbench/mmbench_test_20230712.tsv',
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pipeline=val_pipeline)
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minigpt_4_mmbench_dataloader = dict(batch_size=1,
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num_workers=4,
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dataset=dataset,
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collate_fn=dict(type='pseudo_collate'),
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sampler=dict(type='DefaultSampler',
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shuffle=False))
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# model settings
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minigpt_4_mmbench_model = dict(
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type='minigpt-4',
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low_resource=False,
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llama_model='/path/to/vicuna-7b/',
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prompt_constructor=dict(type=MiniGPT4MMBenchPromptConstructor,
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image_prompt='###Human: <Img><ImageHere></Img>',
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reply_prompt='###Assistant:'),
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post_processor=dict(type=MiniGPT4MMBenchPostProcessor))
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# evaluation settings
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minigpt_4_mmbench_evaluator = [
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dict(type='opencompass.DumpResults',
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save_path='work_dirs/minigpt-4-7b-mmbench.xlsx')
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]
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minigpt_4_mmbench_load_from = '/path/to/prerained_minigpt4_7b.pth' # noqa
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