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Kevin201217
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bert-finetuned-ner

Token Classification
Transformers
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Safetensors
biogpt
Generated from Trainer
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xet
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Training complete

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README.md CHANGED
@@ -20,10 +20,10 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [microsoft/biogpt](https://huggingface.co/microsoft/biogpt) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0925
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- - Precision: 0.6771
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  - Recall: 0.7942
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- - F1: 0.7310
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  - Accuracy: 0.9787
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  ## Model description
@@ -55,9 +55,9 @@ 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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- | 0.1015 | 1.0 | 679 | 0.0678 | 0.6033 | 0.7827 | 0.6814 | 0.9765 |
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- | 0.0476 | 2.0 | 1358 | 0.0707 | 0.6835 | 0.8094 | 0.7411 | 0.9791 |
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- | 0.0136 | 3.0 | 2037 | 0.0925 | 0.6771 | 0.7942 | 0.7310 | 0.9787 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [microsoft/biogpt](https://huggingface.co/microsoft/biogpt) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0909
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+ - Precision: 0.6831
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  - Recall: 0.7942
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+ - F1: 0.7344
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  - Accuracy: 0.9787
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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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+ | 0.1074 | 1.0 | 679 | 0.0666 | 0.6112 | 0.7891 | 0.6889 | 0.9764 |
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+ | 0.0483 | 2.0 | 1358 | 0.0678 | 0.6894 | 0.8094 | 0.7446 | 0.9793 |
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+ | 0.0136 | 3.0 | 2037 | 0.0909 | 0.6831 | 0.7942 | 0.7344 | 0.9787 |
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  ### Framework versions