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File size: 1,450 Bytes
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model:
arch: minigpt_v2
model_type: pretrain
max_txt_len: 500
end_sym: "###"
low_resource: False
prompt_template: 'Instruct: {} /n Output: '
llama_model: ""
ckpt: ""
lora_r: 64
lora_alpha: 16
datasets:
cc_sbu_align:
vis_processor:
train:
name: "blip2_image_eval"
image_size: 448
text_processor:
train:
name: "blip_caption"
evaluation_datasets:
gqa:
eval_file_path: /root/autodl-tmp/evaluation/gqa/annotations/testdev_balanced_questions.json
img_path: /root/autodl-tmp/evaluation/gqa/images
max_new_tokens: 20
batch_size: 10
vizwiz:
eval_file_path: /root/autodl-tmp/evaluation/vizwiz/val.json
img_path: /root/autodl-tmp/evaluation/vizwiz/val
max_new_tokens: 20
batch_size: 10
iconvqa:
eval_file_path: /root/autodl-tmp/evaluation/iconqa/iconqa_data/problems.json
img_path: /root/autodl-tmp/evaluation/iconqa/iconqa_data/iconqa
max_new_tokens: 20
batch_size: 1
vsr:
eval_file_path: /root/autodl-tmp/evaluation/vsr/dev.jsonl
img_path: /root/autodl-tmp/coco2017/train
max_new_tokens: 20
batch_size: 10
hm:
eval_file_path: /root/autodl-tmp/evaluation/Hateful_Memes/data/dev.jsonl
img_path: /root/autodl-tmp/evaluation/Hateful_Memes/data
max_new_tokens: 20
batch_size: 10
run:
task: image_text_pretrain
name: minigptv2_evaluation
save_path: /root/MiniGPT-4/save_evalution
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