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layoutlmv2-er-ner

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layoutlmv2
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update model card README.md

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@@ -19,11 +19,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [renjithks/layoutlmv2-cord-ner](https://huggingface.co/renjithks/layoutlmv2-cord-ner) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1780
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- - Precision: 0.7176
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- - Recall: 0.6953
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- - F1: 0.7063
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- - Accuracy: 0.9598
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  ## Model description
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@@ -54,26 +54,26 @@ 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 | 0.5501 | 0.0 | 0.0 | 0.0 | 0.8801 |
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- | No log | 2.0 | 44 | 0.5444 | 0.0 | 0.0 | 0.0 | 0.8801 |
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- | No log | 3.0 | 66 | 0.5355 | 0.0 | 0.0 | 0.0 | 0.8801 |
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- | No log | 4.0 | 88 | 0.4321 | 0.1621 | 0.1171 | 0.1360 | 0.8671 |
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- | No log | 5.0 | 110 | 0.2968 | 0.5475 | 0.3738 | 0.4443 | 0.9329 |
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- | No log | 6.0 | 132 | 0.2926 | 0.5430 | 0.3117 | 0.3961 | 0.9256 |
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- | No log | 7.0 | 154 | 0.2200 | 0.5812 | 0.5402 | 0.5599 | 0.9452 |
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- | No log | 8.0 | 176 | 0.2156 | 0.6235 | 0.5021 | 0.5563 | 0.9480 |
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- | No log | 9.0 | 198 | 0.2202 | 0.5691 | 0.5924 | 0.5805 | 0.9464 |
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- | No log | 10.0 | 220 | 0.1934 | 0.6299 | 0.6361 | 0.6330 | 0.9537 |
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- | No log | 11.0 | 242 | 0.1860 | 0.6737 | 0.6756 | 0.6746 | 0.9549 |
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- | No log | 12.0 | 264 | 0.1840 | 0.7007 | 0.6770 | 0.6887 | 0.9596 |
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- | No log | 13.0 | 286 | 0.1925 | 0.6709 | 0.6756 | 0.6732 | 0.9579 |
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- | No log | 14.0 | 308 | 0.1763 | 0.7267 | 0.6939 | 0.7100 | 0.9604 |
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- | No log | 15.0 | 330 | 0.1850 | 0.7134 | 0.6671 | 0.6895 | 0.9577 |
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- | No log | 16.0 | 352 | 0.1771 | 0.6936 | 0.6897 | 0.6917 | 0.9587 |
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- | No log | 17.0 | 374 | 0.1767 | 0.7044 | 0.7024 | 0.7034 | 0.9592 |
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- | No log | 18.0 | 396 | 0.1739 | 0.7348 | 0.6996 | 0.7168 | 0.9610 |
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- | No log | 19.0 | 418 | 0.1778 | 0.7224 | 0.7010 | 0.7115 | 0.9600 |
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- | No log | 20.0 | 440 | 0.1780 | 0.7176 | 0.6953 | 0.7063 | 0.9598 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [renjithks/layoutlmv2-cord-ner](https://huggingface.co/renjithks/layoutlmv2-cord-ner) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1217
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+ - Precision: 0.7810
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+ - Recall: 0.8085
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+ - F1: 0.7945
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+ - Accuracy: 0.9747
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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 | 0.5441 | 0.0 | 0.0 | 0.0 | 0.8851 |
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+ | No log | 2.0 | 82 | 0.4660 | 0.1019 | 0.0732 | 0.0852 | 0.8690 |
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+ | No log | 3.0 | 123 | 0.2506 | 0.4404 | 0.4828 | 0.4606 | 0.9240 |
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+ | No log | 4.0 | 164 | 0.1725 | 0.6120 | 0.6076 | 0.6098 | 0.9529 |
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+ | No log | 5.0 | 205 | 0.1387 | 0.7204 | 0.7245 | 0.7225 | 0.9671 |
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+ | No log | 6.0 | 246 | 0.1237 | 0.7742 | 0.7747 | 0.7745 | 0.9722 |
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+ | No log | 7.0 | 287 | 0.1231 | 0.7619 | 0.7554 | 0.7586 | 0.9697 |
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+ | No log | 8.0 | 328 | 0.1199 | 0.7994 | 0.7719 | 0.7854 | 0.9738 |
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+ | No log | 9.0 | 369 | 0.1197 | 0.7937 | 0.8113 | 0.8024 | 0.9741 |
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+ | No log | 10.0 | 410 | 0.1284 | 0.7581 | 0.7597 | 0.7589 | 0.9690 |
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+ | No log | 11.0 | 451 | 0.1172 | 0.7792 | 0.7848 | 0.7820 | 0.9738 |
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+ | No log | 12.0 | 492 | 0.1192 | 0.7913 | 0.7970 | 0.7941 | 0.9743 |
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+ | 0.1858 | 13.0 | 533 | 0.1175 | 0.7960 | 0.8006 | 0.7983 | 0.9753 |
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+ | 0.1858 | 14.0 | 574 | 0.1184 | 0.7724 | 0.8034 | 0.7876 | 0.9740 |
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+ | 0.1858 | 15.0 | 615 | 0.1171 | 0.7882 | 0.8142 | 0.8010 | 0.9756 |
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+ | 0.1858 | 16.0 | 656 | 0.1195 | 0.7829 | 0.8070 | 0.7948 | 0.9745 |
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+ | 0.1858 | 17.0 | 697 | 0.1209 | 0.7810 | 0.8006 | 0.7906 | 0.9743 |
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+ | 0.1858 | 18.0 | 738 | 0.1241 | 0.7806 | 0.7963 | 0.7884 | 0.9740 |
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+ | 0.1858 | 19.0 | 779 | 0.1222 | 0.7755 | 0.8027 | 0.7889 | 0.9742 |
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+ | 0.1858 | 20.0 | 820 | 0.1217 | 0.7810 | 0.8085 | 0.7945 | 0.9747 |
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  ### Framework versions