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layoutlmv3-er-ner

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layoutlmv3
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update model card README.md

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@@ -18,11 +18,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [renjithks/layoutlmv3-cord-ner](https://huggingface.co/renjithks/layoutlmv3-cord-ner) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1788
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- - Precision: 0.6612
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- - Recall: 0.6789
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- - F1: 0.6699
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- - Accuracy: 0.9549
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  ## Model description
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@@ -53,16 +53,16 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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- | No log | 1.0 | 22 | 0.3892 | 0.0 | 0.0 | 0.0 | 0.8793 |
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- | No log | 2.0 | 44 | 0.2854 | 0.3343 | 0.3352 | 0.3347 | 0.8956 |
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- | No log | 3.0 | 66 | 0.2085 | 0.5692 | 0.5233 | 0.5453 | 0.9388 |
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- | No log | 4.0 | 88 | 0.1785 | 0.5556 | 0.6153 | 0.5839 | 0.9426 |
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- | No log | 5.0 | 110 | 0.1853 | 0.5769 | 0.6365 | 0.6052 | 0.9455 |
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- | No log | 6.0 | 132 | 0.1593 | 0.6592 | 0.6676 | 0.6634 | 0.9539 |
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- | No log | 7.0 | 154 | 0.1684 | 0.6676 | 0.6506 | 0.6590 | 0.9529 |
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- | No log | 8.0 | 176 | 0.1759 | 0.6443 | 0.6506 | 0.6474 | 0.9537 |
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- | No log | 9.0 | 198 | 0.1740 | 0.6607 | 0.6832 | 0.6718 | 0.9555 |
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- | No log | 10.0 | 220 | 0.1788 | 0.6612 | 0.6789 | 0.6699 | 0.9549 |
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  ### Framework versions
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  This model is a fine-tuned version of [renjithks/layoutlmv3-cord-ner](https://huggingface.co/renjithks/layoutlmv3-cord-ner) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2025
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+ - Precision: 0.6442
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+ - Recall: 0.6761
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+ - F1: 0.6598
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+ - Accuracy: 0.9507
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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+ | No log | 1.0 | 22 | 0.2940 | 0.4214 | 0.2956 | 0.3475 | 0.9147 |
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+ | No log | 2.0 | 44 | 0.2487 | 0.4134 | 0.4526 | 0.4321 | 0.9175 |
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+ | No log | 3.0 | 66 | 0.1922 | 0.5399 | 0.5460 | 0.5429 | 0.9392 |
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+ | No log | 4.0 | 88 | 0.1977 | 0.5653 | 0.5813 | 0.5732 | 0.9434 |
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+ | No log | 5.0 | 110 | 0.2018 | 0.6173 | 0.6252 | 0.6212 | 0.9477 |
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+ | No log | 6.0 | 132 | 0.1823 | 0.6232 | 0.6153 | 0.6192 | 0.9485 |
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+ | No log | 7.0 | 154 | 0.1972 | 0.6203 | 0.6238 | 0.6220 | 0.9477 |
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+ | No log | 8.0 | 176 | 0.1952 | 0.6292 | 0.6407 | 0.6349 | 0.9511 |
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+ | No log | 9.0 | 198 | 0.2070 | 0.6331 | 0.6492 | 0.6411 | 0.9489 |
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+ | No log | 10.0 | 220 | 0.2025 | 0.6442 | 0.6761 | 0.6598 | 0.9507 |
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  ### Framework versions