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README.md
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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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:
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- Accuracy: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 1.0 | 57 | 0.
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| No log | 2.0 | 114 |
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| No log | 3.0 | 171 |
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| No log | 4.0 | 228 | 1.
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| No log | 5.0 | 285 | 1.
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| No log | 6.0 | 342 |
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| No log | 7.0 | 399 | 2.
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| No log | 8.0 | 456 | 2.
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| 0.
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| 0.
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### Framework versions
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.48
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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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: 3.1085
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- Accuracy: 0.48
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 1.0 | 57 | 0.9812 | 0.36 |
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| No log | 2.0 | 114 | 0.9754 | 0.54 |
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| No log | 3.0 | 171 | 0.9586 | 0.54 |
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| No log | 4.0 | 228 | 1.0887 | 0.54 |
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| No log | 5.0 | 285 | 1.3056 | 0.5 |
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| No log | 6.0 | 342 | 1.9388 | 0.48 |
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| No log | 7.0 | 399 | 2.4752 | 0.48 |
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| No log | 8.0 | 456 | 2.8226 | 0.52 |
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| 0.5686 | 9.0 | 513 | 3.0738 | 0.48 |
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| 0.5686 | 10.0 | 570 | 3.1085 | 0.48 |
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### Framework versions
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pytorch_model.bin
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