update model card README.md
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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: tmvar_0.0001_250
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results: []
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# tmvar_0.0001_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: tmvar_0.0001_250
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results: []
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# tmvar_0.0001_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: 0.0142
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- Precision: 0.8520
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- Recall: 0.9027
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- F1: 0.8766
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- Accuracy: 0.9972
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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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| 0.2033 | 1.0 | 25 | 0.0313 | 0.6273 | 0.3730 | 0.4678 | 0.9899 |
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| 0.0336 | 2.0 | 50 | 0.0197 | 0.6723 | 0.8541 | 0.7524 | 0.9946 |
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| 0.0133 | 3.0 | 75 | 0.0134 | 0.8763 | 0.8811 | 0.8787 | 0.9969 |
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| 0.0075 | 4.0 | 100 | 0.0192 | 0.7110 | 0.8378 | 0.7692 | 0.9952 |
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| 0.0065 | 5.0 | 125 | 0.0126 | 0.8681 | 0.8541 | 0.8610 | 0.9969 |
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| 0.0029 | 6.0 | 150 | 0.0130 | 0.8513 | 0.8973 | 0.8737 | 0.9974 |
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| 0.002 | 7.0 | 175 | 0.0121 | 0.8446 | 0.8811 | 0.8624 | 0.9969 |
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| 0.0017 | 8.0 | 200 | 0.0103 | 0.8462 | 0.8919 | 0.8684 | 0.9974 |
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| 0.0011 | 9.0 | 225 | 0.0148 | 0.8299 | 0.8703 | 0.8496 | 0.9967 |
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| 0.0007 | 10.0 | 250 | 0.0150 | 0.8426 | 0.8973 | 0.8691 | 0.9971 |
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| 0.0005 | 11.0 | 275 | 0.0142 | 0.8376 | 0.8919 | 0.8639 | 0.9970 |
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| 0.0004 | 12.0 | 300 | 0.0142 | 0.8513 | 0.8973 | 0.8737 | 0.9972 |
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| 0.0003 | 13.0 | 325 | 0.0143 | 0.8469 | 0.8973 | 0.8714 | 0.9971 |
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| 0.0003 | 14.0 | 350 | 0.0142 | 0.8520 | 0.9027 | 0.8766 | 0.9972 |
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### Framework versions
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- Transformers 4.27.4
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