---
license: apache-2.0
base_model: google/bigbird-roberta-base
tags:
- generated_from_trainer
datasets:
- race
metrics:
- accuracy
model-index:
- name: bigbird_race_1
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# bigbird_race_1

This model is a fine-tuned version of [google/bigbird-roberta-base](https://huggingface.co/google/bigbird-roberta-base) on the race dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0178
- Accuracy: 0.5884

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.313         | 1.0   | 1589 | 1.2015          | 0.4896   |
| 1.0197        | 2.0   | 3178 | 1.0178          | 0.5884   |


### Framework versions

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