
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# bigbird_mental2019_1

This model is a fine-tuned version of [augmdc/bigbird_race_1](https://huggingface.co/augmdc/bigbird_race_1) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1074
- Accuracy: 0.4983

## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.3804        | 1.0   | 929  | 1.2248          | 0.4474   |
| 1.1988        | 2.0   | 1858 | 1.1074          | 0.4983   |


### Framework versions

- Transformers 4.33.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "augmdc/bigbird_race_1", "model-index": [{"name": "bigbird_mental2019_1", "results": []}]}
transformers pytorch big_bird multiple-choice generated_from_trainer base_model:augmdc/bigbird_race_1 license:apache-2.0 endpoints_compatible region:us