Specify right model card metadata
#1
by
osanseviero
HF staff
- opened
README.md
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license: apache-2.0
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datasets:
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- Ejafa/ye-pop
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---
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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 [LLaVA 1.5](https://github.com/haotian-liu/LLaVA)-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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---
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license: apache-2.0
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tags:
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- llava
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datasets:
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- Ejafa/ye-pop
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pipeline_tag: image-text-to-text
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---
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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 [LLaVA 1.5](https://github.com/haotian-liu/LLaVA)-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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