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25 lines
639 B
YAML
25 lines
639 B
YAML
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vqa_root: '/export/share/datasets/vision/VQA/Images/mscoco/' #followed by train2014/
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vg_root: '/export/share/datasets/vision/visual-genome/' #followed by image/
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train_files: ['vqa_train','vqa_val','vg_qa']
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ann_root: 'annotation'
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# set pretrained as a file path or an url
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pretrained: 'https://storage.googleapis.com/sfr-vision-language-research/BLIP/models/model_base_vqa_capfilt_large.pth'
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# size of vit model; base or large
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vit: 'base'
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batch_size_train: 16
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batch_size_test: 32
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vit_grad_ckpt: False
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vit_ckpt_layer: 0
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init_lr: 2e-5
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image_size: 480
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k_test: 128
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inference: 'rank'
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# optimizer
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weight_decay: 0.05
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min_lr: 0
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max_epoch: 10
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