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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: Variome_2e-05_29_03
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results: []
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# Variome_2e-05_29_03
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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: 500
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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: Variome_2e-05_29_03
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results: []
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# Variome_2e-05_29_03
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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: 0.0928
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- Precision: 0.5437
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- Recall: 0.4211
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- F1: 0.4746
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- Accuracy: 0.9852
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## Model description
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- lr_scheduler_type: linear
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- training_steps: 500
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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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| 1.1552 | 5.0 | 25 | 0.1636 | 0.0 | 0.0 | 0.0 | 0.9794 |
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| 0.1671 | 10.0 | 50 | 0.1345 | 0.0 | 0.0 | 0.0 | 0.9794 |
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| 0.1297 | 15.0 | 75 | 0.1076 | 0.2683 | 0.0827 | 0.1264 | 0.9806 |
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| 0.0995 | 20.0 | 100 | 0.1047 | 0.24 | 0.1353 | 0.1731 | 0.9810 |
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| 0.0845 | 25.0 | 125 | 0.0987 | 0.2289 | 0.1429 | 0.1759 | 0.9813 |
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| 0.0722 | 30.0 | 150 | 0.1001 | 0.2558 | 0.1654 | 0.2009 | 0.9816 |
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| 0.0642 | 35.0 | 175 | 0.0994 | 0.3117 | 0.1805 | 0.2286 | 0.9821 |
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| 0.0564 | 40.0 | 200 | 0.0938 | 0.3204 | 0.2481 | 0.2797 | 0.9817 |
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| 0.0481 | 45.0 | 225 | 0.0935 | 0.4070 | 0.2632 | 0.3196 | 0.9833 |
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| 0.0416 | 50.0 | 250 | 0.0913 | 0.4167 | 0.3383 | 0.3734 | 0.9836 |
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| 0.0363 | 55.0 | 275 | 0.0911 | 0.4653 | 0.3534 | 0.4017 | 0.9847 |
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| 0.0321 | 60.0 | 300 | 0.0909 | 0.4495 | 0.3684 | 0.4050 | 0.9842 |
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| 0.0293 | 65.0 | 325 | 0.0918 | 0.5361 | 0.3910 | 0.4522 | 0.9852 |
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| 0.0269 | 70.0 | 350 | 0.0936 | 0.5444 | 0.3684 | 0.4395 | 0.9853 |
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| 0.0251 | 75.0 | 375 | 0.0936 | 0.5833 | 0.4211 | 0.4891 | 0.9858 |
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| 0.0242 | 80.0 | 400 | 0.0920 | 0.5534 | 0.4286 | 0.4831 | 0.9854 |
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| 0.0232 | 85.0 | 425 | 0.0928 | 0.5612 | 0.4135 | 0.4762 | 0.9855 |
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| 0.0216 | 90.0 | 450 | 0.0928 | 0.5437 | 0.4211 | 0.4746 | 0.9852 |
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### Framework versions
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- Transformers 4.27.4
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