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README.md
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No extra meta-data was used for training these models (as was the case for the competition), it was a straightfoward fine-tune to explore differences in model pretrain data.
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| Model | Top-1 | Top-5 | Paper |
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| [eva02_large_patch14_clip_336.merged2b_ft_inat21](https://huggingface.co/timm/eva02_large_patch14_clip_336.merged2b_ft_inat21) | 92.05 | 98.01 | https://arxiv.org/abs/2303.11331 |
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| [vit_large_patch14_clip_336.
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| [vit_large_patch14_clip_336.
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## Fine-tune hparams
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No extra meta-data was used for training these models (as was the case for the competition), it was a straightfoward fine-tune to explore differences in model pretrain data.
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| Model | Top-1 | Top-5 | Img Size (Train) | Paper |
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| [eva02_large_patch14_clip_336.merged2b_ft_inat21](https://huggingface.co/timm/eva02_large_patch14_clip_336.merged2b_ft_inat21) | 92.05 | 98.01 | 336 | https://arxiv.org/abs/2303.11331 |
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| [vit_large_patch14_clip_336.datacompxl_ft_augreg_inat21](https://huggingface.co/timm/vit_large_patch14_clip_336.datacompxl_ft_augreg_inat21) | 91.98 | 98.03 | 336 | https://arxiv.org/abs/2304.14108 |
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| [vit_large_patch14_clip_336.laion2b_ft_augreg_inat21](https://huggingface.co/timm/vit_large_patch14_clip_336.laion2b_ft_augreg_inat21) | 91.48 | 97.89 | 336 | https://arxiv.org/abs/2212.07143 |
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| [convnext_large_mlp.laion2b_ft_augreg_inat21](https://huggingface.co/timm/convnext_large_mlp.laion2b_ft_augreg_inat21) | 90.95 | 97.68 | 448 (384) | |
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| [vit_large_patch14_clip_336.datacompxl_ft_inat21](https://huggingface.co/timm/vit_large_patch14_clip_336.datacompxl_ft_inat21) | 90.85 | 97.68 | 336 | https://arxiv.org/abs/2304.14108 |
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| [convnext_large_mlp.laion2b_ft_augreg_inat21](https://huggingface.co/timm/convnext_large_mlp.laion2b_ft_augreg_inat21) | 90.62 | 97.61 | 384 | |
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| [vit_large_patch14_clip_336.laion2b_ft_in12k_in1k_inat21](https://huggingface.co/timm/vit_large_patch14_clip_336.laion2b_ft_in12k_in1k_inat21) | 90.29 | 97.44 | 336 | https://arxiv.org/abs/2212.07143 |
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## Fine-tune hparams
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