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license: apache-2.0
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A ViT-B/32 CLIP model trained for 4 epochs on the [ye-pop](https://huggingface.co/datasets/Ejafa/ye-pop) dataset (491,520 images and [CogVLM](https://huggingface.co/THUDM/cogvlm-chat-hf)-generated detailed captions). Research artifact of [clip-synthetic-captions](https://github.com/nopperl/clip-synthetic-captions). Outperforms the CLIP model trained using the original alt-texts on the [DataComp benchmark suite](https://datacomp.ai) (38 image classification and retrieval tasks).
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Note: likely not directly useful as it is severely undertrained.
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license: apache-2.0
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datasets:
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- Ejafa/ye-pop
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A ViT-B/32 CLIP model trained for 4 epochs on the [ye-pop](https://huggingface.co/datasets/Ejafa/ye-pop) dataset (491,520 images and [CogVLM](https://huggingface.co/THUDM/cogvlm-chat-hf)-generated detailed captions). Research artifact of [clip-synthetic-captions](https://github.com/nopperl/clip-synthetic-captions). Outperforms the CLIP model trained using the original alt-texts on the [DataComp benchmark suite](https://datacomp.ai) (38 image classification and retrieval tasks).
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Note: likely not directly useful as it is severely undertrained.
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