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--- |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: clinical-bigbird-medqa-usmle-nocontext |
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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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# clinical-bigbird-medqa-usmle-nocontext |
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This model is a fine-tuned version of [yikuan8/Clinical-BigBird](https://huggingface.co/yikuan8/Clinical-BigBird) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.3863 |
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- Accuracy: 0.2482 |
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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: 3e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- gradient_accumulation_steps: 16 |
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- total_train_batch_size: 64 |
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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 | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| No log | 1.0 | 159 | 1.3860 | 0.2584 | |
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| No log | 2.0 | 318 | 1.3859 | 0.2820 | |
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| No log | 3.0 | 477 | 1.3863 | 0.2522 | |
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| 1.3891 | 4.0 | 636 | 1.3863 | 0.2498 | |
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| 1.3891 | 5.0 | 795 | 1.3863 | 0.2404 | |
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| 1.3891 | 6.0 | 954 | 1.3863 | 0.2498 | |
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| 1.3882 | 7.0 | 1113 | 1.3863 | 0.2506 | |
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| 1.3882 | 8.0 | 1272 | 1.3863 | 0.2467 | |
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| 1.3882 | 9.0 | 1431 | 1.3863 | 0.2490 | |
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| 1.3876 | 10.0 | 1590 | 1.3863 | 0.2482 | |
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### Framework versions |
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- Transformers 4.26.1 |
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- Pytorch 1.13.1+cu116 |
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- Datasets 2.10.0 |
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- Tokenizers 0.13.2 |
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