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vishwa27/GIT_inf_w_caption_blur_ep5_eval
GIT_inf_w_caption_blur_ep5_eval 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. --
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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 |
|---|---|---|---|---|---|---|---|---|
| 0.0775 | 1.0 | 1586 | 0.0774 | 11.837 | 5.6006 | 10.9944 | 11.0165 | 218.44 |
| 0.0658 | 2.0 | 3172 | 0.0726 | 9.7028 | 5.0964 | 9.0714 | 9.0844 | 218.44 |
| 0.0541 | 3.0 | 4758 | 0.0693 | 11.4449 | 6.3978 | 10.5899 | 10.6179 | 218.44 |
| 0.0432 | 4.0 | 6344 | 0.0682 | 11.1405 | 6.5221 | 10.3109 | 10.3318 | 218.39 |
| 0.0342 | 5.0 | 7930 | 0.0688 | 11.5483 | 6.9038 | 10.6731 | 10.6966 | 217.74 |