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README.md
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license: mit
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tags:
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- generated_from_trainer
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model-index:
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- name: SETH_5e-05_0404_ES6
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results: []
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# SETH_5e-05_0404_ES6
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This model is a fine-tuned version of [microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext](https://huggingface.co/microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext) on
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## Model description
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- lr_scheduler_type: linear
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- training_steps: 2000
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### Framework versions
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- Transformers 4.27.4
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license: mit
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tags:
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- generated_from_trainer
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metrics:
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- precision
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- recall
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- f1
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- accuracy
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model-index:
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- name: SETH_5e-05_0404_ES6
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results: []
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# SETH_5e-05_0404_ES6
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This model is a fine-tuned version of [microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext](https://huggingface.co/microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0650
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- Precision: 0.7754
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- Recall: 0.8675
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- F1: 0.8188
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- Accuracy: 0.9857
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## Model description
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- lr_scheduler_type: linear
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- training_steps: 2000
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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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| 0.331 | 0.96 | 25 | 0.1111 | 0.3370 | 0.6265 | 0.4383 | 0.9582 |
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| 0.0683 | 1.92 | 50 | 0.0626 | 0.7098 | 0.8210 | 0.7614 | 0.9796 |
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| 0.0423 | 2.88 | 75 | 0.0547 | 0.7559 | 0.8313 | 0.7918 | 0.9827 |
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| 0.0342 | 3.85 | 100 | 0.0527 | 0.6795 | 0.8795 | 0.7667 | 0.9805 |
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| 0.0298 | 4.81 | 125 | 0.0574 | 0.6802 | 0.8933 | 0.7723 | 0.9804 |
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| 0.02 | 5.77 | 150 | 0.0476 | 0.7457 | 0.8124 | 0.7776 | 0.9837 |
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| 0.0165 | 6.73 | 175 | 0.0520 | 0.7845 | 0.8210 | 0.8024 | 0.9852 |
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| 0.0145 | 7.69 | 200 | 0.0645 | 0.7075 | 0.8950 | 0.7903 | 0.9828 |
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| 0.0092 | 8.65 | 225 | 0.0620 | 0.7945 | 0.8451 | 0.8190 | 0.9863 |
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| 0.0083 | 9.62 | 250 | 0.0727 | 0.7426 | 0.8692 | 0.8010 | 0.9836 |
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| 0.0054 | 10.58 | 275 | 0.0628 | 0.8 | 0.8330 | 0.8162 | 0.9861 |
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| 0.0058 | 11.54 | 300 | 0.0650 | 0.7754 | 0.8675 | 0.8188 | 0.9857 |
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### Framework versions
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- Transformers 4.27.4
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