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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_5e-05_0404_ES6
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results: []
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# Yepes_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: Yepes_5e-05_0404_ES6
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results: []
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# Yepes_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: 0.0941
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- Precision: 0.6541
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- Recall: 0.5210
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- F1: 0.5800
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- Accuracy: 0.9813
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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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| 0.5973 | 0.43 | 25 | 0.1959 | 0.0 | 0.0 | 0.0 | 0.9705 |
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| 0.1831 | 0.86 | 50 | 0.1374 | 0.0 | 0.0 | 0.0 | 0.9705 |
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| 0.1271 | 1.29 | 75 | 0.1182 | 0.2786 | 0.1677 | 0.2093 | 0.9735 |
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| 0.13 | 1.72 | 100 | 0.1116 | 0.4057 | 0.2964 | 0.3426 | 0.9772 |
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| 0.1008 | 2.16 | 125 | 0.1013 | 0.4491 | 0.2904 | 0.3527 | 0.9781 |
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| 0.0807 | 2.59 | 150 | 0.0992 | 0.4214 | 0.3533 | 0.3844 | 0.9775 |
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| 0.0893 | 3.02 | 175 | 0.0855 | 0.4937 | 0.3503 | 0.4098 | 0.9789 |
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| 0.0656 | 3.45 | 200 | 0.0978 | 0.5509 | 0.3563 | 0.4327 | 0.9803 |
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| 0.0723 | 3.88 | 225 | 0.0816 | 0.4925 | 0.3922 | 0.4367 | 0.9798 |
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| 0.0683 | 4.31 | 250 | 0.0789 | 0.6389 | 0.4132 | 0.5018 | 0.9815 |
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| 0.0518 | 4.74 | 275 | 0.0838 | 0.5639 | 0.3832 | 0.4563 | 0.9797 |
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| 0.0534 | 5.17 | 300 | 0.0853 | 0.7129 | 0.4461 | 0.5488 | 0.9817 |
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| 0.0489 | 5.6 | 325 | 0.0824 | 0.6239 | 0.4222 | 0.5036 | 0.9814 |
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| 0.0442 | 6.03 | 350 | 0.0751 | 0.5789 | 0.4940 | 0.5331 | 0.9799 |
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| 0.0353 | 6.47 | 375 | 0.1195 | 0.6812 | 0.4222 | 0.5213 | 0.9803 |
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| 0.0401 | 6.9 | 400 | 0.0875 | 0.5339 | 0.5419 | 0.5379 | 0.9767 |
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| 0.0341 | 7.33 | 425 | 0.0994 | 0.6693 | 0.5090 | 0.5782 | 0.9815 |
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| 0.0266 | 7.76 | 450 | 0.0951 | 0.6693 | 0.5150 | 0.5821 | 0.9815 |
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| 0.0234 | 8.19 | 475 | 0.0979 | 0.6824 | 0.4760 | 0.5608 | 0.9817 |
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| 0.0224 | 8.62 | 500 | 0.0941 | 0.6541 | 0.5210 | 0.5800 | 0.9813 |
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### Framework versions
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- Transformers 4.27.4
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