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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_5e-05_250
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results: []
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# Variome_5e-05_250
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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_5e-05_250
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results: []
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# Variome_5e-05_250
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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: 0.0679
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- Precision: 0.6097
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- Recall: 0.5389
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- F1: 0.5721
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- Accuracy: 0.9860
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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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| 0.5834 | 0.35 | 25 | 0.1849 | 0.0 | 0.0 | 0.0 | 0.9760 |
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| 0.1856 | 0.69 | 50 | 0.1791 | 0.0 | 0.0 | 0.0 | 0.9760 |
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| 0.1611 | 1.04 | 75 | 0.1698 | 0.0 | 0.0 | 0.0 | 0.9760 |
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| 0.1471 | 1.39 | 100 | 0.1219 | 0.1478 | 0.0290 | 0.0485 | 0.9764 |
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| 0.1117 | 1.74 | 125 | 0.1133 | 0.1784 | 0.1426 | 0.1585 | 0.9767 |
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| 0.1071 | 2.08 | 150 | 0.1030 | 0.2899 | 0.2220 | 0.2515 | 0.9789 |
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| 0.0844 | 2.43 | 175 | 0.0977 | 0.3838 | 0.2750 | 0.3204 | 0.9805 |
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| 0.087 | 2.78 | 200 | 0.0884 | 0.4084 | 0.3903 | 0.3991 | 0.9815 |
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| 0.0785 | 3.12 | 225 | 0.0803 | 0.4895 | 0.4176 | 0.4507 | 0.9833 |
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| 0.0647 | 3.47 | 250 | 0.0784 | 0.5545 | 0.4518 | 0.4979 | 0.9842 |
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| 0.0592 | 3.82 | 275 | 0.0740 | 0.5655 | 0.5013 | 0.5315 | 0.9847 |
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| 0.0525 | 4.17 | 300 | 0.0725 | 0.5916 | 0.5158 | 0.5511 | 0.9854 |
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| 0.0515 | 4.51 | 325 | 0.0698 | 0.5861 | 0.5115 | 0.5463 | 0.9853 |
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| 0.0483 | 4.86 | 350 | 0.0691 | 0.5994 | 0.5201 | 0.5569 | 0.9855 |
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| 0.047 | 5.21 | 375 | 0.0702 | 0.5905 | 0.5209 | 0.5535 | 0.9855 |
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| 0.0429 | 5.56 | 400 | 0.0693 | 0.5986 | 0.5286 | 0.5615 | 0.9858 |
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| 0.0435 | 5.9 | 425 | 0.0673 | 0.5951 | 0.5397 | 0.5661 | 0.9858 |
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| 0.0418 | 6.25 | 450 | 0.0676 | 0.5949 | 0.5329 | 0.5622 | 0.9858 |
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| 0.038 | 6.6 | 475 | 0.0679 | 0.6013 | 0.5397 | 0.5689 | 0.9860 |
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| 0.0355 | 6.94 | 500 | 0.0679 | 0.6097 | 0.5389 | 0.5721 | 0.9860 |
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### Framework versions
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- Transformers 4.27.4
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