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

Token Classification
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bert
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  1. README.md +35 -35
  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: 0.0101
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- - Precision: 0.6420
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- - Recall: 0.5821
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- - F1: 0.6106
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- - Accuracy: 0.9967
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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 | 32 | 0.1033 | 0.0 | 0.0 | 0.0 | 0.9952 |
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- | No log | 2.0 | 64 | 0.0391 | 0.0 | 0.0 | 0.0 | 0.9952 |
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- | No log | 3.0 | 96 | 0.0351 | 0.0 | 0.0 | 0.0 | 0.9952 |
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- | No log | 4.0 | 128 | 0.0321 | 0.0 | 0.0 | 0.0 | 0.9952 |
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- | No log | 5.0 | 160 | 0.0260 | 0.0 | 0.0 | 0.0 | 0.9952 |
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- | No log | 6.0 | 192 | 0.0188 | 0.6809 | 0.1194 | 0.2032 | 0.9955 |
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- | No log | 7.0 | 224 | 0.0158 | 0.6480 | 0.4328 | 0.5190 | 0.9961 |
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- | No log | 8.0 | 256 | 0.0143 | 0.6567 | 0.4925 | 0.5629 | 0.9964 |
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- | No log | 9.0 | 288 | 0.0133 | 0.6573 | 0.4366 | 0.5247 | 0.9963 |
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- | No log | 10.0 | 320 | 0.0127 | 0.5898 | 0.5634 | 0.5763 | 0.9964 |
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- | No log | 11.0 | 352 | 0.0122 | 0.6128 | 0.5373 | 0.5726 | 0.9965 |
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- | No log | 12.0 | 384 | 0.0119 | 0.6122 | 0.6007 | 0.6064 | 0.9965 |
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- | No log | 13.0 | 416 | 0.0114 | 0.6295 | 0.5261 | 0.5732 | 0.9965 |
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- | No log | 14.0 | 448 | 0.0112 | 0.6349 | 0.5709 | 0.6012 | 0.9967 |
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- | No log | 15.0 | 480 | 0.0111 | 0.6174 | 0.6082 | 0.6128 | 0.9966 |
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- | 0.0665 | 16.0 | 512 | 0.0108 | 0.6491 | 0.5522 | 0.5968 | 0.9967 |
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- | 0.0665 | 17.0 | 544 | 0.0108 | 0.6232 | 0.6418 | 0.6324 | 0.9967 |
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- | 0.0665 | 18.0 | 576 | 0.0106 | 0.6571 | 0.5149 | 0.5774 | 0.9967 |
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- | 0.0665 | 19.0 | 608 | 0.0105 | 0.6271 | 0.5522 | 0.5873 | 0.9965 |
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- | 0.0665 | 20.0 | 640 | 0.0105 | 0.6332 | 0.6119 | 0.6224 | 0.9967 |
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- | 0.0665 | 21.0 | 672 | 0.0104 | 0.6390 | 0.5746 | 0.6051 | 0.9966 |
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- | 0.0665 | 22.0 | 704 | 0.0104 | 0.6316 | 0.5821 | 0.6058 | 0.9966 |
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- | 0.0665 | 23.0 | 736 | 0.0103 | 0.6444 | 0.5410 | 0.5882 | 0.9966 |
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- | 0.0665 | 24.0 | 768 | 0.0103 | 0.6287 | 0.5560 | 0.5901 | 0.9966 |
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- | 0.0665 | 25.0 | 800 | 0.0102 | 0.6322 | 0.5709 | 0.6000 | 0.9966 |
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- | 0.0665 | 26.0 | 832 | 0.0102 | 0.6360 | 0.5672 | 0.5996 | 0.9966 |
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- | 0.0665 | 27.0 | 864 | 0.0102 | 0.6352 | 0.5784 | 0.6055 | 0.9966 |
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- | 0.0665 | 28.0 | 896 | 0.0102 | 0.6453 | 0.5634 | 0.6016 | 0.9967 |
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- | 0.0665 | 29.0 | 928 | 0.0101 | 0.6402 | 0.5709 | 0.6036 | 0.9967 |
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- | 0.0665 | 30.0 | 960 | 0.0101 | 0.6420 | 0.5821 | 0.6106 | 0.9967 |
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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: 0.0181
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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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  | 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
model.safetensors CHANGED
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