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vishwa27/GIT_inf_w_bbox_caption_ep5
GIT_inf_w_bbox_caption_ep5 is a image-text-to-text model from vishwa27. Use it for the image-text-to-text task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
Downloads · 30 days
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.safetensors707 MB · 100%
From the Hugging Face model README
This model is a fine-tuned version of microsoft/git-base on an unknown dataset. It achieves the following results on the evaluation set:
More information needed
More information needed
More information needed
The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 0.0794 | 1.0 | 777 | 0.0800 | 6.7935 | 2.5273 | 6.016 | 6.0274 | 215.258 |
| 0.0704 | 2.0 | 1554 | 0.0774 | 6.861 | 2.638 | 6.1681 | 6.1833 | 215.258 |
| 0.0637 | 3.0 | 2331 | 0.0761 | 7.1364 | 2.862 | 6.4308 | 6.4446 | 215.258 |
| 0.0595 | 4.0 | 3108 | 0.0750 | 7.2911 | 2.9116 | 6.5386 | 6.5461 | 215.258 |
| 0.0544 | 5.0 | 3885 | 0.0748 | 7.4067 | 3.0184 | 6.6214 | 6.6313 | 215.256 |