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mp-02/layoutlmv3-finetuned-sroie
layoutlmv3-finetuned-sroie is a token classification model from mp-02. Use it when you need labels on individual words, such as names. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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.safetensors501 MB · 99%
From the Hugging Face model README
This model is a fine-tuned version of layoutlmv3 on the mp-02/sroie dataset. It achieves the following results on the evaluation set:
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The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 2.3810 | 250 | 0.0957 | 0.9075 | 0.9304 | 0.9188 | 0.9752 |
| 0.1943 | 4.7619 | 500 | 0.0699 | 0.9260 | 0.9456 | 0.9357 | 0.9805 |
| 0.1943 | 7.1429 | 750 | 0.0657 | 0.9291 | 0.9513 | 0.9400 | 0.9817 |
| 0.0485 | 9.5238 | 1000 | 0.0651 | 0.9233 | 0.9579 | 0.9403 | 0.9815 |
| 0.0485 | 11.9048 | 1250 | 0.0661 | 0.9155 | 0.9625 | 0.9384 | 0.9808 |
| 0.0397 | 14.2857 | 1500 | 0.0660 | 0.9161 | 0.9632 | 0.9391 | 0.9810 |