metadata
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: nystromformer-4096-medqa-usmle-nocontext
results: []
nystromformer-4096-medqa-usmle-nocontext
This model is a fine-tuned version of uw-madison/nystromformer-4096 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.3796
- Accuracy: 0.2773
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: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- 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 | 318 | 1.3863 | 0.2372 |
| 1.3888 | 2.0 | 636 | 1.3858 | 0.2388 |
| 1.3888 | 3.0 | 954 | 1.3796 | 0.2773 |
Framework versions
- Transformers 4.26.0
- Pytorch 1.13.1+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2