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update model card 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_0.0001_250
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  results: []
@@ -17,13 +12,7 @@ should probably proofread and complete it, then remove this comment. -->
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  # Yepes_0.0001_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: 0.1555
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- - Precision: 0.5922
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- - Recall: 0.4552
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- - F1: 0.5148
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- - Accuracy: 0.9768
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  ## Model description
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@@ -50,26 +39,6 @@ The following hyperparameters were used during training:
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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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-
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- | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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- |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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- | 0.4065 | 1.39 | 25 | 0.2115 | 0.0 | 0.0 | 0.0 | 0.9672 |
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- | 0.1995 | 2.78 | 50 | 0.2120 | 0.0 | 0.0 | 0.0 | 0.9672 |
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- | 0.1995 | 4.17 | 75 | 0.2108 | 0.0 | 0.0 | 0.0 | 0.9672 |
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- | 0.1694 | 5.56 | 100 | 0.1646 | 0.0 | 0.0 | 0.0 | 0.9672 |
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- | 0.1493 | 6.94 | 125 | 0.1513 | 0.0 | 0.0 | 0.0 | 0.9672 |
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- | 0.1266 | 8.33 | 150 | 0.1446 | 0.0 | 0.0 | 0.0 | 0.9672 |
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- | 0.106 | 9.72 | 175 | 0.1396 | 0.4019 | 0.2139 | 0.2792 | 0.9704 |
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- | 0.086 | 11.11 | 200 | 0.1162 | 0.5037 | 0.3408 | 0.4065 | 0.9740 |
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- | 0.0613 | 12.5 | 225 | 0.1230 | 0.5015 | 0.4104 | 0.4514 | 0.9740 |
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- | 0.047 | 13.89 | 250 | 0.1306 | 0.5333 | 0.4378 | 0.4809 | 0.9753 |
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- | 0.0351 | 15.28 | 275 | 0.1351 | 0.5629 | 0.4453 | 0.4972 | 0.9757 |
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- | 0.0266 | 16.67 | 300 | 0.1453 | 0.5617 | 0.4303 | 0.4873 | 0.9765 |
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- | 0.02 | 18.06 | 325 | 0.1441 | 0.5573 | 0.4478 | 0.4966 | 0.9757 |
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- | 0.0153 | 19.44 | 350 | 0.1555 | 0.5922 | 0.4552 | 0.5148 | 0.9768 |
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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_0.0001_250
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  results: []
 
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  # Yepes_0.0001_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