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yoon1000/TrOCR_0208-2
TrOCR_0208-2 is a image-text-to-text model from yoon1000. 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.
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/trocr-base-stage1 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 | Cer |
|---|---|---|---|---|
| 1.3873 | 1.71 | 500 | 1.6813 | 0.2361 |
| 0.8298 | 3.42 | 1000 | 1.7390 | 0.2441 |
| 0.5587 | 5.14 | 1500 | 1.5896 | 0.2090 |
| 0.376 | 6.85 | 2000 | 1.4717 | 0.1775 |
| 0.2847 | 8.56 | 2500 | 1.5528 | 0.1928 |
| 0.2376 | 10.27 | 3000 | 1.4412 | 0.1727 |
| 0.2101 | 11.99 | 3500 | 1.3770 | 0.1592 |
| 0.2551 | 13.7 | 4000 | 1.4311 | 0.1564 |
| 0.226 | 15.41 | 4500 | 1.2536 | 0.1337 |
| 0.1365 | 17.12 | 5000 | 1.2753 | 0.1272 |
| 0.14 | 18.84 | 5500 | 1.2584 | 0.1211 |