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bert-finetuned-ner

Token Classification
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Training in progress, epoch 1

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  1. README.md +8 -8
  2. model.safetensors +1 -1
  3. runs/May27_20-30-57_maxingzhoudeMacBook-Air.local/events.out.tfevents.1716813063.maxingzhoudeMacBook-Air.local.25943.1 +3 -0
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  5. runs/May27_21-44-02_maxingzhoudeMacBook-Air.local/events.out.tfevents.1716817448.maxingzhoudeMacBook-Air.local.25943.3 +3 -0
  6. training_args.bin +1 -1
README.md CHANGED
@@ -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 [bert-base-chinese](https://huggingface.co/bert-base-chinese) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1363
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- - Precision: 0.7653
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- - Recall: 0.7468
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- - F1: 0.7559
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- - Accuracy: 0.9559
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  ## Model description
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@@ -54,9 +54,9 @@ 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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- | 0.131 | 1.0 | 1875 | 0.1181 | 0.7341 | 0.7429 | 0.7385 | 0.9542 |
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- | 0.0932 | 2.0 | 3750 | 0.1176 | 0.7797 | 0.7440 | 0.7614 | 0.9568 |
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- | 0.0632 | 3.0 | 5625 | 0.1363 | 0.7653 | 0.7468 | 0.7559 | 0.9559 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [bert-base-chinese](https://huggingface.co/bert-base-chinese) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1158
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+ - Precision: 0.7635
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+ - Recall: 0.7577
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+ - F1: 0.7606
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+ - Accuracy: 0.9626
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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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+ | 0.1101 | 1.0 | 1875 | 0.1007 | 0.7357 | 0.7458 | 0.7407 | 0.9610 |
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+ | 0.0796 | 2.0 | 3750 | 0.1003 | 0.76 | 0.7530 | 0.7565 | 0.9627 |
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+ | 0.0538 | 3.0 | 5625 | 0.1158 | 0.7635 | 0.7577 | 0.7606 | 0.9626 |
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  ### Framework versions
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