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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_5e-05_250
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results: []
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# tmvar_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: tmvar_5e-05_250
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results: []
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# tmvar_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: 0.0104
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- Precision: 0.8718
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- Recall: 0.9189
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- F1: 0.8947
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- Accuracy: 0.9977
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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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| 0.2897 | 1.0 | 25 | 0.0896 | 0.0 | 0.0 | 0.0 | 0.9858 |
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| 0.0759 | 2.0 | 50 | 0.0302 | 0.5522 | 0.4 | 0.4639 | 0.9898 |
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| 0.0347 | 3.0 | 75 | 0.0175 | 0.6789 | 0.6973 | 0.688 | 0.9945 |
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| 0.0174 | 4.0 | 100 | 0.0133 | 0.76 | 0.8216 | 0.7896 | 0.9962 |
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| 0.0084 | 5.0 | 125 | 0.0125 | 0.805 | 0.8703 | 0.8364 | 0.9967 |
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| 0.0048 | 6.0 | 150 | 0.0090 | 0.8859 | 0.8811 | 0.8835 | 0.9977 |
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| 0.0025 | 7.0 | 175 | 0.0097 | 0.8382 | 0.9243 | 0.8792 | 0.9977 |
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| 0.0017 | 8.0 | 200 | 0.0089 | 0.8529 | 0.9405 | 0.8946 | 0.9980 |
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| 0.0015 | 9.0 | 225 | 0.0099 | 0.8357 | 0.9351 | 0.8827 | 0.9979 |
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| 0.0012 | 10.0 | 250 | 0.0104 | 0.8522 | 0.9351 | 0.8918 | 0.9979 |
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| 0.0011 | 11.0 | 275 | 0.0104 | 0.8798 | 0.8703 | 0.875 | 0.9972 |
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| 0.0009 | 12.0 | 300 | 0.0098 | 0.8718 | 0.9189 | 0.8947 | 0.9977 |
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| 0.0007 | 13.0 | 325 | 0.0100 | 0.8718 | 0.9189 | 0.8947 | 0.9977 |
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| 0.0006 | 14.0 | 350 | 0.0104 | 0.8718 | 0.9189 | 0.8947 | 0.9977 |
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### Framework versions
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- Transformers 4.27.4
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