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layoutlmv1-er-ner

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layoutlm
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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/layoutlmv1-cord-ner](https://huggingface.co/renjithks/layoutlmv1-cord-ner) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2936
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- - Precision: 0.6097
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- - Recall: 0.6192
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- - F1: 0.6144
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- - Accuracy: 0.9479
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  ## Model description
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@@ -53,26 +53,26 @@ 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 | 0.3856 | 0.3047 | 0.1453 | 0.1968 | 0.8885 |
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- | No log | 2.0 | 44 | 0.2637 | 0.3725 | 0.3625 | 0.3674 | 0.9197 |
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- | No log | 3.0 | 66 | 0.2184 | 0.5117 | 0.4612 | 0.4852 | 0.9361 |
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- | No log | 4.0 | 88 | 0.2321 | 0.4714 | 0.5585 | 0.5113 | 0.9361 |
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- | No log | 5.0 | 110 | 0.2183 | 0.5453 | 0.5853 | 0.5646 | 0.9440 |
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- | No log | 6.0 | 132 | 0.2243 | 0.5977 | 0.5867 | 0.5922 | 0.9459 |
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- | No log | 7.0 | 154 | 0.2451 | 0.5716 | 0.5910 | 0.5811 | 0.9410 |
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- | No log | 8.0 | 176 | 0.2387 | 0.5881 | 0.5839 | 0.5860 | 0.9474 |
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- | No log | 9.0 | 198 | 0.2702 | 0.5794 | 0.6023 | 0.5906 | 0.9430 |
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- | No log | 10.0 | 220 | 0.2450 | 0.5920 | 0.6079 | 0.5999 | 0.9480 |
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- | No log | 11.0 | 242 | 0.2697 | 0.6151 | 0.5994 | 0.6071 | 0.9467 |
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- | No log | 12.0 | 264 | 0.2607 | 0.6022 | 0.6234 | 0.6126 | 0.9497 |
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- | No log | 13.0 | 286 | 0.2737 | 0.6172 | 0.6276 | 0.6224 | 0.9488 |
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- | No log | 14.0 | 308 | 0.2840 | 0.6117 | 0.6333 | 0.6223 | 0.9474 |
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- | No log | 15.0 | 330 | 0.2833 | 0.6030 | 0.6192 | 0.6110 | 0.9476 |
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- | No log | 16.0 | 352 | 0.3009 | 0.6161 | 0.6135 | 0.6148 | 0.9449 |
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- | No log | 17.0 | 374 | 0.2920 | 0.6098 | 0.6150 | 0.6124 | 0.9473 |
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- | No log | 18.0 | 396 | 0.2931 | 0.6017 | 0.6135 | 0.6075 | 0.9471 |
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- | No log | 19.0 | 418 | 0.2935 | 0.6103 | 0.6206 | 0.6154 | 0.9476 |
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- | No log | 20.0 | 440 | 0.2936 | 0.6097 | 0.6192 | 0.6144 | 0.9479 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [renjithks/layoutlmv1-cord-ner](https://huggingface.co/renjithks/layoutlmv1-cord-ner) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2092
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+ - Precision: 0.7202
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+ - Recall: 0.7238
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+ - F1: 0.7220
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+ - Accuracy: 0.9639
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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 | 41 | 0.2444 | 0.4045 | 0.3996 | 0.4020 | 0.9226 |
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+ | No log | 2.0 | 82 | 0.1640 | 0.5319 | 0.6098 | 0.5682 | 0.9455 |
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+ | No log | 3.0 | 123 | 0.1531 | 0.6324 | 0.6614 | 0.6466 | 0.9578 |
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+ | No log | 4.0 | 164 | 0.1440 | 0.6927 | 0.6743 | 0.6834 | 0.9620 |
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+ | No log | 5.0 | 205 | 0.1520 | 0.6750 | 0.6958 | 0.6853 | 0.9613 |
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+ | No log | 6.0 | 246 | 0.1597 | 0.6840 | 0.6987 | 0.6913 | 0.9605 |
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+ | No log | 7.0 | 287 | 0.1910 | 0.7002 | 0.6887 | 0.6944 | 0.9605 |
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+ | No log | 8.0 | 328 | 0.1860 | 0.6834 | 0.6923 | 0.6878 | 0.9609 |
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+ | No log | 9.0 | 369 | 0.1665 | 0.6785 | 0.7102 | 0.6940 | 0.9624 |
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+ | No log | 10.0 | 410 | 0.1816 | 0.7016 | 0.7052 | 0.7034 | 0.9624 |
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+ | No log | 11.0 | 451 | 0.1808 | 0.6913 | 0.7166 | 0.7038 | 0.9638 |
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+ | No log | 12.0 | 492 | 0.2165 | 0.712 | 0.7023 | 0.7071 | 0.9628 |
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+ | 0.1014 | 13.0 | 533 | 0.2135 | 0.6979 | 0.7109 | 0.7043 | 0.9613 |
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+ | 0.1014 | 14.0 | 574 | 0.2154 | 0.6906 | 0.7109 | 0.7006 | 0.9612 |
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+ | 0.1014 | 15.0 | 615 | 0.2118 | 0.6902 | 0.7016 | 0.6958 | 0.9615 |
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+ | 0.1014 | 16.0 | 656 | 0.2091 | 0.6985 | 0.7080 | 0.7032 | 0.9623 |
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+ | 0.1014 | 17.0 | 697 | 0.2104 | 0.7118 | 0.7123 | 0.7121 | 0.9630 |
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+ | 0.1014 | 18.0 | 738 | 0.2081 | 0.7129 | 0.7231 | 0.7179 | 0.9638 |
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+ | 0.1014 | 19.0 | 779 | 0.2093 | 0.7205 | 0.7231 | 0.7218 | 0.9638 |
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+ | 0.1014 | 20.0 | 820 | 0.2092 | 0.7202 | 0.7238 | 0.7220 | 0.9639 |
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  ### Framework versions