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@@ -51,7 +51,7 @@ The model uses an [Eva02-B](https://huggingface.co/timm/eva02_base_patch16_clip_
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  ### Dataset
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  - [STAIR Captions](http://captions.stair.center/) (v2014 val set of MSCOCO) for image-to-text (i2t) and text-to-image (t2i) retrieval. We measure performance using R@1, which is the average recall of i2t and t2i retrieval.
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  - [Recruit Datasets](https://huggingface.co/datasets/recruit-jp/japanese-image-classification-evaluation-dataset) for image classification.
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- - [ImageNet-1K](https://www.image-net.org/download.php) for image classification. We translated all classnames into Japanese. The classnames and templates can be found in `ja-imagenet-1k-classnames.txt` and `ja-imagenet-1k-templates.txt`.
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  ### Result
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  | Model | Image Encoder Params | Text Encoder params | STAIR Captions (R@1) | Recruit Datasets (acc@1) | ImageNet-1K (acc@1) |
 
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  ### Dataset
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  - [STAIR Captions](http://captions.stair.center/) (v2014 val set of MSCOCO) for image-to-text (i2t) and text-to-image (t2i) retrieval. We measure performance using R@1, which is the average recall of i2t and t2i retrieval.
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  - [Recruit Datasets](https://huggingface.co/datasets/recruit-jp/japanese-image-classification-evaluation-dataset) for image classification.
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+ - [ImageNet-1K](https://www.image-net.org/download.php) for image classification. We translated all classnames into Japanese. The classnames and templates can be found in [ja-imagenet-1k-classnames.txt](https://huggingface.co/line-corporation/clip-japanese-base/blob/main/ja-imagenet-1k-classnames.txt) and [ja-imagenet-1k-templates.txt](https://huggingface.co/line-corporation/clip-japanese-base/blob/main/ja-imagenet-1k-templates.txt).
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  ### Result
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  | Model | Image Encoder Params | Text Encoder params | STAIR Captions (R@1) | Recruit Datasets (acc@1) | ImageNet-1K (acc@1) |