transformers pytorch tensorboard big_bird multiple-choice generated_from_trainer license:apache-2.0 endpoints_compatible region:us
---
license: apache-2.0
metrics:
- accuracy
tags:
- generated_from_trainer
model-index:
- name: bigbird-roberta-base-medqa-usmle-nocontext
  results: []
---

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# bigbird-roberta-base-medqa-usmle-nocontext

This model is a fine-tuned version of [google/bigbird-roberta-base](https://huggingface.co/google/bigbird-roberta-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3863
- Accuracy: 0.2592

## 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: 4
- total_train_batch_size: 16
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.392         | 1.0   | 636  | 1.3863          | 0.2333   |
| 1.39          | 2.0   | 1272 | 1.3863          | 0.2592   |
| 1.3896        | 3.0   | 1908 | 1.3863          | 0.2592   |


### Framework versions

- Transformers 4.26.0
- Pytorch 1.13.1+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2
