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
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results: []
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# tmvar_0.0001
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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
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results: []
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# tmvar_0.0001
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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: 0.0162
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- Precision: 0.8877
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- Recall: 0.8973
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- F1: 0.8925
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- Accuracy: 0.9971
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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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| 0.2263 | 1.47 | 25 | 0.0776 | 0.0 | 0.0 | 0.0 | 0.9843 |
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| 0.05 | 2.94 | 50 | 0.0400 | 0.2868 | 0.4216 | 0.3414 | 0.9872 |
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| 0.0271 | 4.41 | 75 | 0.0219 | 0.5381 | 0.6486 | 0.5882 | 0.9925 |
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| 0.0108 | 5.88 | 100 | 0.0132 | 0.8324 | 0.8324 | 0.8324 | 0.9965 |
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| 0.0029 | 7.35 | 125 | 0.0107 | 0.8934 | 0.9514 | 0.9215 | 0.9979 |
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| 0.0025 | 8.82 | 150 | 0.0123 | 0.8691 | 0.8973 | 0.8830 | 0.9972 |
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| 0.0011 | 10.29 | 175 | 0.0127 | 0.8579 | 0.9135 | 0.8848 | 0.9969 |
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| 0.0006 | 11.76 | 200 | 0.0102 | 0.8969 | 0.9405 | 0.9182 | 0.9981 |
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| 0.0005 | 13.24 | 225 | 0.0118 | 0.8942 | 0.9135 | 0.9037 | 0.9978 |
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| 0.0005 | 14.71 | 250 | 0.0106 | 0.8768 | 0.9622 | 0.9175 | 0.9981 |
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| 0.0015 | 16.18 | 275 | 0.0119 | 0.855 | 0.9243 | 0.8883 | 0.9976 |
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| 0.0006 | 17.65 | 300 | 0.0134 | 0.8814 | 0.9243 | 0.9024 | 0.9977 |
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| 0.0004 | 19.12 | 325 | 0.0177 | 0.8617 | 0.8757 | 0.8686 | 0.9969 |
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| 0.0003 | 20.59 | 350 | 0.0162 | 0.8877 | 0.8973 | 0.8925 | 0.9971 |
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### Framework versions
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- Transformers 4.27.4
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