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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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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_2e-05_250
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results: []
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# Yepes_2e-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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It achieves the following results on the evaluation set:
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- Loss: 0.1289
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- Precision: 0.6094
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- Recall: 0.4851
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- F1: 0.5402
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- Accuracy: 0.9772
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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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| 0.9077 | 1.39 | 25 | 0.2178 | 0.0 | 0.0 | 0.0 | 0.9672 |
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| 0.2029 | 2.78 | 50 | 0.2096 | 0.0 | 0.0 | 0.0 | 0.9672 |
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| 0.1942 | 4.17 | 75 | 0.1807 | 0.0 | 0.0 | 0.0 | 0.9672 |
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| 0.142 | 5.56 | 100 | 0.1402 | 0.3529 | 0.2090 | 0.2625 | 0.9696 |
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| 0.1139 | 6.94 | 125 | 0.1295 | 0.4875 | 0.3408 | 0.4012 | 0.9743 |
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| 0.0884 | 8.33 | 150 | 0.1210 | 0.5428 | 0.3632 | 0.4352 | 0.9754 |
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| 0.0738 | 9.72 | 175 | 0.1185 | 0.5254 | 0.3856 | 0.4448 | 0.9759 |
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| 0.0647 | 11.11 | 200 | 0.1158 | 0.5061 | 0.4154 | 0.4563 | 0.9757 |
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| 0.0549 | 12.5 | 225 | 0.1150 | 0.5106 | 0.4204 | 0.4611 | 0.9759 |
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| 0.0486 | 13.89 | 250 | 0.1192 | 0.5071 | 0.4428 | 0.4728 | 0.9754 |
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| 0.043 | 15.28 | 275 | 0.1223 | 0.5329 | 0.4428 | 0.4837 | 0.9757 |
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| 0.0401 | 16.67 | 300 | 0.1249 | 0.5759 | 0.4527 | 0.5070 | 0.9767 |
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| 0.0347 | 18.06 | 325 | 0.1269 | 0.6213 | 0.4652 | 0.5320 | 0.9775 |
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| 0.033 | 19.44 | 350 | 0.1295 | 0.6198 | 0.4826 | 0.5427 | 0.9775 |
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| 0.0293 | 20.83 | 375 | 0.1289 | 0.6094 | 0.4851 | 0.5402 | 0.9772 |
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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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model-index:
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- name: Yepes_2e-05_250
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results: []
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# Yepes_2e-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 an unknown dataset.
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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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