---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: small
  results: []
---

<!-- 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. -->

# small

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1318
- Accuracy: 0.9636

## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.3269        | 1.0   | 873  | 0.1855          | 0.9510   |
| 0.1494        | 2.0   | 1746 | 0.1318          | 0.9636   |
| 0.0892        | 3.0   | 2619 | 0.1390          | 0.9548   |
| 0.0664        | 4.0   | 3492 | 0.1687          | 0.9716   |
| 0.0368        | 5.0   | 4365 | 0.1591          | 0.9702   |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3