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rubert-tiny2-odonata-extended-305-1-ner

Token Classification
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bert
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  2. model.safetensors +1 -1
README.md CHANGED
@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [cointegrated/rubert-tiny2](https://huggingface.co/cointegrated/rubert-tiny2) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0181
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- - Precision: 0.7075
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- - Recall: 0.2799
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- - F1: 0.4011
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- - Accuracy: 0.9963
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  ## Model description
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@@ -55,36 +55,36 @@ 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 | 213 | 0.0343 | 0.0 | 0.0 | 0.0 | 0.9952 |
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- | No log | 2.0 | 426 | 0.0219 | 0.0 | 0.0 | 0.0 | 0.9952 |
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- | 0.045 | 3.0 | 639 | 0.0151 | 0.0 | 0.0 | 0.0 | 0.9952 |
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- | 0.045 | 4.0 | 852 | 0.0121 | 0.7727 | 0.1269 | 0.2179 | 0.9957 |
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- | 0.0065 | 5.0 | 1065 | 0.0127 | 0.6296 | 0.1269 | 0.2112 | 0.9957 |
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- | 0.0065 | 6.0 | 1278 | 0.0116 | 0.6667 | 0.2463 | 0.3597 | 0.9962 |
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- | 0.0065 | 7.0 | 1491 | 0.0107 | 0.6696 | 0.2873 | 0.4021 | 0.9964 |
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- | 0.0047 | 8.0 | 1704 | 0.0115 | 0.7158 | 0.2537 | 0.3747 | 0.9963 |
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- | 0.0047 | 9.0 | 1917 | 0.0117 | 0.7327 | 0.2761 | 0.4011 | 0.9963 |
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- | 0.0037 | 10.0 | 2130 | 0.0115 | 0.675 | 0.3022 | 0.4175 | 0.9964 |
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- | 0.0037 | 11.0 | 2343 | 0.0128 | 0.6990 | 0.2687 | 0.3881 | 0.9963 |
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- | 0.0032 | 12.0 | 2556 | 0.0136 | 0.6931 | 0.2612 | 0.3794 | 0.9963 |
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- | 0.0032 | 13.0 | 2769 | 0.0136 | 0.7 | 0.2873 | 0.4074 | 0.9963 |
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- | 0.0032 | 14.0 | 2982 | 0.0132 | 0.6774 | 0.3134 | 0.4286 | 0.9964 |
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- | 0.0026 | 15.0 | 3195 | 0.0137 | 0.6942 | 0.3134 | 0.4319 | 0.9963 |
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- | 0.0026 | 16.0 | 3408 | 0.0140 | 0.7193 | 0.3060 | 0.4293 | 0.9964 |
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- | 0.0022 | 17.0 | 3621 | 0.0144 | 0.6991 | 0.2948 | 0.4147 | 0.9964 |
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- | 0.0022 | 18.0 | 3834 | 0.0157 | 0.7156 | 0.2910 | 0.4138 | 0.9964 |
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- | 0.0019 | 19.0 | 4047 | 0.0166 | 0.6923 | 0.2351 | 0.3510 | 0.9962 |
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- | 0.0019 | 20.0 | 4260 | 0.0163 | 0.72 | 0.2687 | 0.3913 | 0.9963 |
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- | 0.0019 | 21.0 | 4473 | 0.0159 | 0.6957 | 0.2985 | 0.4178 | 0.9963 |
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- | 0.0017 | 22.0 | 4686 | 0.0165 | 0.6696 | 0.2873 | 0.4021 | 0.9962 |
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- | 0.0017 | 23.0 | 4899 | 0.0174 | 0.6952 | 0.2724 | 0.3914 | 0.9963 |
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- | 0.0015 | 24.0 | 5112 | 0.0180 | 0.6882 | 0.2388 | 0.3546 | 0.9961 |
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- | 0.0015 | 25.0 | 5325 | 0.0184 | 0.6915 | 0.2425 | 0.3591 | 0.9962 |
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- | 0.0014 | 26.0 | 5538 | 0.0183 | 0.7041 | 0.2575 | 0.3770 | 0.9962 |
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- | 0.0014 | 27.0 | 5751 | 0.0177 | 0.7009 | 0.2799 | 0.4000 | 0.9963 |
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- | 0.0014 | 28.0 | 5964 | 0.0180 | 0.7075 | 0.2799 | 0.4011 | 0.9963 |
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- | 0.0013 | 29.0 | 6177 | 0.0178 | 0.6991 | 0.2948 | 0.4147 | 0.9963 |
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- | 0.0013 | 30.0 | 6390 | 0.0181 | 0.7075 | 0.2799 | 0.4011 | 0.9963 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [cointegrated/rubert-tiny2](https://huggingface.co/cointegrated/rubert-tiny2) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0171
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+ - Precision: 0.5782
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+ - Recall: 0.6289
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+ - F1: 0.6025
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+ - Accuracy: 0.9940
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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 | 25 | 0.2514 | 0.0 | 0.0 | 0.0 | 0.9913 |
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+ | No log | 2.0 | 50 | 0.0660 | 0.0 | 0.0 | 0.0 | 0.9913 |
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+ | No log | 3.0 | 75 | 0.0579 | 0.0 | 0.0 | 0.0 | 0.9913 |
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+ | No log | 4.0 | 100 | 0.0557 | 0.0 | 0.0 | 0.0 | 0.9913 |
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+ | No log | 5.0 | 125 | 0.0528 | 0.0 | 0.0 | 0.0 | 0.9913 |
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+ | No log | 6.0 | 150 | 0.0465 | 0.0 | 0.0 | 0.0 | 0.9913 |
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+ | No log | 7.0 | 175 | 0.0359 | 1.0 | 0.0052 | 0.0103 | 0.9914 |
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+ | No log | 8.0 | 200 | 0.0278 | 0.5802 | 0.3918 | 0.4677 | 0.9921 |
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+ | No log | 9.0 | 225 | 0.0241 | 0.5940 | 0.4072 | 0.4832 | 0.9922 |
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+ | No log | 10.0 | 250 | 0.0223 | 0.6 | 0.4175 | 0.4924 | 0.9925 |
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+ | No log | 11.0 | 275 | 0.0212 | 0.5417 | 0.4691 | 0.5028 | 0.9930 |
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+ | No log | 12.0 | 300 | 0.0204 | 0.52 | 0.4691 | 0.4932 | 0.9931 |
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+ | No log | 13.0 | 325 | 0.0199 | 0.5579 | 0.5464 | 0.5521 | 0.9936 |
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+ | No log | 14.0 | 350 | 0.0194 | 0.5761 | 0.5464 | 0.5608 | 0.9939 |
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+ | No log | 15.0 | 375 | 0.0190 | 0.5761 | 0.5464 | 0.5608 | 0.9938 |
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+ | No log | 16.0 | 400 | 0.0187 | 0.5670 | 0.5670 | 0.5670 | 0.9939 |
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+ | No log | 17.0 | 425 | 0.0184 | 0.5685 | 0.5773 | 0.5729 | 0.9938 |
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+ | No log | 18.0 | 450 | 0.0182 | 0.5707 | 0.6031 | 0.5865 | 0.9939 |
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+ | No log | 19.0 | 475 | 0.0180 | 0.5680 | 0.6031 | 0.5850 | 0.9940 |
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+ | 0.0748 | 20.0 | 500 | 0.0177 | 0.5764 | 0.6031 | 0.5894 | 0.9941 |
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+ | 0.0748 | 21.0 | 525 | 0.0176 | 0.5907 | 0.5876 | 0.5891 | 0.9941 |
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+ | 0.0748 | 22.0 | 550 | 0.0176 | 0.5769 | 0.6186 | 0.5970 | 0.9941 |
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+ | 0.0748 | 23.0 | 575 | 0.0174 | 0.5939 | 0.6031 | 0.5985 | 0.9942 |
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+ | 0.0748 | 24.0 | 600 | 0.0173 | 0.5854 | 0.6186 | 0.6015 | 0.9942 |
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+ | 0.0748 | 25.0 | 625 | 0.0172 | 0.5902 | 0.6237 | 0.6065 | 0.9942 |
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+ | 0.0748 | 26.0 | 650 | 0.0172 | 0.5865 | 0.6289 | 0.6070 | 0.9942 |
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+ | 0.0748 | 27.0 | 675 | 0.0171 | 0.5862 | 0.6134 | 0.5995 | 0.9941 |
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+ | 0.0748 | 28.0 | 700 | 0.0171 | 0.5882 | 0.6186 | 0.6030 | 0.9942 |
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+ | 0.0748 | 29.0 | 725 | 0.0171 | 0.5817 | 0.6237 | 0.6020 | 0.9941 |
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+ | 0.0748 | 30.0 | 750 | 0.0171 | 0.5782 | 0.6289 | 0.6025 | 0.9940 |
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  ### Framework versions
model.safetensors CHANGED
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