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arimmean
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bert-finetuned-ner-best

Token Classification
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bert
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End of training

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  1. README.md +15 -15
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -21,11 +21,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [BAAI/bge-small-en-v1.5](https://huggingface.co/BAAI/bge-small-en-v1.5) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1387
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- - Precision: 0.9177
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- - Recall: 0.9273
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- - F1: 0.9225
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- - Accuracy: 0.9813
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  ## Model description
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@@ -56,16 +56,16 @@ 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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- | 0.0565 | 1.0 | 2503 | 0.1118 | 0.8693 | 0.9078 | 0.8881 | 0.9761 |
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- | 0.0092 | 2.0 | 5006 | 0.1100 | 0.9006 | 0.9175 | 0.9090 | 0.9797 |
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- | 0.0206 | 3.0 | 7509 | 0.1136 | 0.9062 | 0.9217 | 0.9139 | 0.9799 |
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- | 0.0274 | 4.0 | 10012 | 0.1097 | 0.8978 | 0.9207 | 0.9091 | 0.9795 |
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- | 0.0406 | 5.0 | 12515 | 0.1201 | 0.9015 | 0.9231 | 0.9122 | 0.9801 |
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- | 0.0056 | 6.0 | 15018 | 0.1196 | 0.9140 | 0.9226 | 0.9183 | 0.9812 |
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- | 0.0114 | 7.0 | 17521 | 0.1209 | 0.9166 | 0.9283 | 0.9224 | 0.9816 |
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- | 0.0036 | 8.0 | 20024 | 0.1285 | 0.9163 | 0.9291 | 0.9227 | 0.9818 |
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- | 0.0066 | 9.0 | 22527 | 0.1367 | 0.9170 | 0.9273 | 0.9221 | 0.9814 |
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- | 0.0002 | 10.0 | 25030 | 0.1387 | 0.9177 | 0.9273 | 0.9225 | 0.9813 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [BAAI/bge-small-en-v1.5](https://huggingface.co/BAAI/bge-small-en-v1.5) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1654
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+ - Precision: 0.9203
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+ - Recall: 0.9265
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+ - F1: 0.9233
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+ - Accuracy: 0.9810
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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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+ | 0.0043 | 1.0 | 2500 | 0.1521 | 0.8973 | 0.9165 | 0.9068 | 0.9782 |
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+ | 0.0022 | 2.0 | 5000 | 0.1567 | 0.9048 | 0.9214 | 0.9130 | 0.9787 |
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+ | 0.0048 | 3.0 | 7500 | 0.1456 | 0.8959 | 0.9192 | 0.9074 | 0.9781 |
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+ | 0.0024 | 4.0 | 10000 | 0.1641 | 0.9118 | 0.9204 | 0.9161 | 0.9791 |
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+ | 0.0043 | 5.0 | 12500 | 0.1791 | 0.9002 | 0.9216 | 0.9108 | 0.9787 |
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+ | 0.0005 | 6.0 | 15000 | 0.1719 | 0.9086 | 0.9201 | 0.9143 | 0.9783 |
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+ | 0.0049 | 7.0 | 17500 | 0.1582 | 0.9175 | 0.9169 | 0.9172 | 0.9799 |
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+ | 0.0001 | 8.0 | 20000 | 0.1625 | 0.9143 | 0.9246 | 0.9194 | 0.9807 |
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+ | 0.0039 | 9.0 | 22500 | 0.1516 | 0.9186 | 0.9265 | 0.9225 | 0.9813 |
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+ | 0.0 | 10.0 | 25000 | 0.1654 | 0.9203 | 0.9265 | 0.9233 | 0.9810 |
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  ### Framework versions
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