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README.md
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# BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext-ContaminationQAmodel_PubmedBERT
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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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It achieves the following results on the evaluation set:
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- Loss: 3.0488
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## Model description
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- lr_scheduler_type: linear
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- num_epochs: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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| No log | 1.0 | 22 | 3.7469 |
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| No log | 2.0 | 44 | 3.2860 |
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| No log | 3.0 | 66 | 2.9635 |
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| No log | 4.0 | 88 | 2.8326 |
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| No log | 5.0 | 110 | 2.8485 |
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| No log | 6.0 | 132 | 2.8979 |
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| No log | 7.0 | 154 | 2.8410 |
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| No log | 8.0 | 176 | 2.9248 |
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| No log | 9.0 | 198 | 3.0342 |
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| No log | 10.0 | 220 | 3.0488 |
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### Framework versions
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- Transformers 4.16.2
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# BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext-ContaminationQAmodel_PubmedBERT
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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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- num_epochs: 10
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### Framework versions
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- Transformers 4.16.2
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