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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: Yepes_0.0001_29_03
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results: []
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# Yepes_0.0001_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: Yepes_0.0001_29_03
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results: []
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# Yepes_0.0001_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: 0.1553
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- Precision: 0.5294
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- Recall: 0.4091
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- F1: 0.4615
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- Accuracy: 0.9756
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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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| 0.3757 | 5.0 | 25 | 0.1967 | 0.0 | 0.0 | 0.0 | 0.9697 |
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| 0.1852 | 10.0 | 50 | 0.1952 | 0.0 | 0.0 | 0.0 | 0.9697 |
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| 0.1766 | 15.0 | 75 | 0.1572 | 0.0 | 0.0 | 0.0 | 0.9697 |
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| 0.1231 | 20.0 | 100 | 0.1386 | 0.0 | 0.0 | 0.0 | 0.9697 |
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| 0.0827 | 25.0 | 125 | 0.1293 | 0.3846 | 0.2557 | 0.3072 | 0.9729 |
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| 0.0422 | 30.0 | 150 | 0.1563 | 0.4545 | 0.2841 | 0.3497 | 0.9744 |
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| 0.0205 | 35.0 | 175 | 0.1520 | 0.4138 | 0.2727 | 0.3288 | 0.9744 |
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| 0.0102 | 40.0 | 200 | 0.1496 | 0.5124 | 0.3523 | 0.4175 | 0.9758 |
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| 0.0062 | 45.0 | 225 | 0.1514 | 0.5522 | 0.4205 | 0.4774 | 0.9763 |
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| 0.0047 | 50.0 | 250 | 0.1509 | 0.5581 | 0.4091 | 0.4721 | 0.9764 |
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| 0.0035 | 55.0 | 275 | 0.1553 | 0.5294 | 0.4091 | 0.4615 | 0.9756 |
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### Framework versions
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- Transformers 4.27.4
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