clinical-longformer-medqa-usmle-nocontext
This model is a fine-tuned version of yikuan8/Clinical-Longformer on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.3962
- Accuracy: 0.2930
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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 159 | 1.3778 | 0.2962 |
| No log | 2.0 | 318 | 1.3731 | 0.2922 |
| No log | 3.0 | 477 | 1.3962 | 0.2930 |
Framework versions
- Transformers 4.26.0
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2