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--- |
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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: BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext-ContaminationQAmodel_PubmedBERT |
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results: [] |
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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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should probably proofread and complete it, then remove this comment. --> |
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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: 2.7515 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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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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|:-------------:|:-----:|:----:|:---------------:| |
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| No log | 1.0 | 22 | 3.9518 | |
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| No log | 2.0 | 44 | 3.2703 | |
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| No log | 3.0 | 66 | 2.9308 | |
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| No log | 4.0 | 88 | 2.7806 | |
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| No log | 5.0 | 110 | 2.6926 | |
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| No log | 6.0 | 132 | 2.7043 | |
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| No log | 7.0 | 154 | 2.7113 | |
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| No log | 8.0 | 176 | 2.7236 | |
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| No log | 9.0 | 198 | 2.7559 | |
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| No log | 10.0 | 220 | 2.7515 | |
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### Framework versions |
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- Transformers 4.15.0 |
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- Pytorch 1.10.0+cu111 |
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- Datasets 1.17.0 |
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- Tokenizers 0.10.3 |
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