--- tags: - generated_from_trainer metrics: - accuracy model-index: - name: clinical-bigbird-medqa-usmle-nocontext results: [] --- # clinical-bigbird-medqa-usmle-nocontext This model is a fine-tuned version of [yikuan8/Clinical-BigBird](https://huggingface.co/yikuan8/Clinical-BigBird) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 1.3863 - Accuracy: 0.2482 ## Model description More information needed ## Intended uses & limitations More information needed ## Training and evaluation data More information needed ## Training procedure ### Training hyperparameters The following hyperparameters were used during training: - learning_rate: 3e-05 - train_batch_size: 4 - eval_batch_size: 4 - seed: 42 - gradient_accumulation_steps: 16 - total_train_batch_size: 64 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 10 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:-----:|:----:|:---------------:|:--------:| | No log | 1.0 | 159 | 1.3860 | 0.2584 | | No log | 2.0 | 318 | 1.3859 | 0.2820 | | No log | 3.0 | 477 | 1.3863 | 0.2522 | | 1.3891 | 4.0 | 636 | 1.3863 | 0.2498 | | 1.3891 | 5.0 | 795 | 1.3863 | 0.2404 | | 1.3891 | 6.0 | 954 | 1.3863 | 0.2498 | | 1.3882 | 7.0 | 1113 | 1.3863 | 0.2506 | | 1.3882 | 8.0 | 1272 | 1.3863 | 0.2467 | | 1.3882 | 9.0 | 1431 | 1.3863 | 0.2490 | | 1.3876 | 10.0 | 1590 | 1.3863 | 0.2482 | ### Framework versions - Transformers 4.26.1 - Pytorch 1.13.1+cu116 - Datasets 2.10.0 - Tokenizers 0.13.2