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README.md
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@@ -10,4 +10,10 @@ python -m torch.distributed.launch --nproc_per_node=8 --use_env test_meta_datase
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Meta-testing with `dino_small_batch16` trained on ImageNet domain of Meta-Dataset:
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```
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python -m torch.distributed.launch --nproc_per_node=8 --use_env test_meta_dataset.py --data-path ../../datasets/meta_dataset --dataset meta_dataset --arch dino_small_patch16 --deploy finetune --output outputs/md_inet_dinosmall_6gpus --resume pmf_metadataset_dino/md_inet_128x128_dinosmall_fp16_lr5e-5/best.pth --dist-eval --ada_steps 100 --ada_lr 0.0001
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```
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Meta-testing with `dino_small_batch16` trained on ImageNet domain of Meta-Dataset:
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```
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python -m torch.distributed.launch --nproc_per_node=8 --use_env test_meta_dataset.py --data-path ../../datasets/meta_dataset --dataset meta_dataset --arch dino_small_patch16 --deploy finetune --output outputs/md_inet_dinosmall_6gpus --resume pmf_metadataset_dino/md_inet_128x128_dinosmall_fp16_lr5e-5/best.pth --dist-eval --ada_steps 100 --ada_lr 0.0001
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```
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## Results
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Method |ILSVRC (test) |Omniglot |Aircraft |Birds |Textures |QuickDraw |Fungi |VGG Flower |Traffic signs |MSCOCO
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---------------------------|---------------------------|---------------------------|---------------------------|---------------------------|---------------------------|---------------------------|---------------------------|---------------------------|---------------------------|---------------------------
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[md_full_128x128_dinosmall_fp16_lr5e-5](https://huggingface.co/hushell/pmf_metadataset_dino/blob/main/md_full_128x128_dinosmall_fp16_lr5e-5/best.pth) |73.52±0.80 (lr=0.0001) |92.17±0.57 (lr=0.0001) |89.49±0.52 (lr=0.001) |91.04±0.37 (lr=0.0001) |85.73±0.62 (lr=0.001) |79.43±0.67 (lr=0.0001) |74.99±0.94 (lr=0) |95.30±0.44 (lr=0.001) |89.85±0.76 (lr=0.01) |59.69±1.02 (lr=0.001)
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[md_inet_128x128_dinosmall_fp16_lr2e-4](https://huggingface.co/hushell/pmf_metadataset_dino/blob/main/md_imagenet_128x128_dinosmall_fp16_lr2e-4/best.pth) |75.51±0.72 (lr=0.001) |82.81±1.10 (lr=0.01) |78.38±1.09 (lr=0.01) |85.18±0.77 (lr=0.001) |86.95±0.60 (lr=0.001) |74.47±0.83 (lr=0.01) |55.16±1.09 (lr=0) |94.66±0.48 (lr=0) |90.04±0.81 (lr=0.01) |62.60±0.96 (lr=0.001)
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