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bert-ner-finetuned-pii

Token Classification
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End of training

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  1. README.md +9 -7
  2. model.safetensors +1 -1
  3. runs/Feb13_15-12-16_cc7fbd594924/events.out.tfevents.1707837145.cc7fbd594924.34.1 +3 -0
  4. training_args.bin +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 [dslim/bert-base-NER](https://huggingface.co/dslim/bert-base-NER) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0030
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- - Precision: 0.6649
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- - Recall: 0.4725
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- - F1: 0.5525
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- - Accuracy: 0.9992
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  ## Model description
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@@ -49,13 +49,15 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - num_epochs: 1
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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- | 0.0052 | 1.0 | 724 | 0.0030 | 0.6649 | 0.4725 | 0.5525 | 0.9992 |
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [dslim/bert-base-NER](https://huggingface.co/dslim/bert-base-NER) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0017
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+ - Precision: 0.7972
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+ - Recall: 0.8205
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+ - F1: 0.8087
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+ - Accuracy: 0.9996
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  ## Model description
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - num_epochs: 3
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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+ | 0.0042 | 1.0 | 724 | 0.0024 | 0.6311 | 0.7582 | 0.6889 | 0.9994 |
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+ | 0.0008 | 2.0 | 1448 | 0.0020 | 0.8314 | 0.7949 | 0.8127 | 0.9996 |
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+ | 0.0004 | 3.0 | 2172 | 0.0017 | 0.7972 | 0.8205 | 0.8087 | 0.9996 |
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  ### Framework versions
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