---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: spell_correction_M01_LM
  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. -->

# spell_correction_M01_LM

This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0170

## 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: 1e-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: 30

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 264  | 0.3516          |
| 1.8892        | 2.0   | 528  | 0.0561          |
| 1.8892        | 3.0   | 792  | 0.0324          |
| 0.0396        | 4.0   | 1056 | 0.0264          |
| 0.0396        | 5.0   | 1320 | 0.0238          |
| 0.0163        | 6.0   | 1584 | 0.0212          |
| 0.0163        | 7.0   | 1848 | 0.0212          |
| 0.0081        | 8.0   | 2112 | 0.0194          |
| 0.0081        | 9.0   | 2376 | 0.0206          |
| 0.0061        | 10.0  | 2640 | 0.0195          |
| 0.0061        | 11.0  | 2904 | 0.0182          |
| 0.004         | 12.0  | 3168 | 0.0182          |
| 0.004         | 13.0  | 3432 | 0.0180          |
| 0.0042        | 14.0  | 3696 | 0.0172          |
| 0.0042        | 15.0  | 3960 | 0.0183          |
| 0.0026        | 16.0  | 4224 | 0.0184          |
| 0.0026        | 17.0  | 4488 | 0.0170          |
| 0.0034        | 18.0  | 4752 | 0.0169          |
| 0.0023        | 19.0  | 5016 | 0.0169          |
| 0.0023        | 20.0  | 5280 | 0.0167          |
| 0.0029        | 21.0  | 5544 | 0.0182          |
| 0.0029        | 22.0  | 5808 | 0.0178          |
| 0.0019        | 23.0  | 6072 | 0.0188          |
| 0.0019        | 24.0  | 6336 | 0.0179          |
| 0.0018        | 25.0  | 6600 | 0.0177          |
| 0.0018        | 26.0  | 6864 | 0.0171          |
| 0.0023        | 27.0  | 7128 | 0.0172          |
| 0.0023        | 28.0  | 7392 | 0.0171          |
| 0.0021        | 29.0  | 7656 | 0.0169          |
| 0.0021        | 30.0  | 7920 | 0.0170          |


### Framework versions

- Transformers 4.28.0
- Pytorch 1.12.1+cu102
- Datasets 2.13.1
- Tokenizers 0.13.3