---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: spell_correction_M03_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_M03_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: 0.0205

## 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   | 261  | 0.3991          |
| 1.9255        | 2.0   | 522  | 0.0588          |
| 1.9255        | 3.0   | 783  | 0.0308          |
| 0.05          | 4.0   | 1044 | 0.0239          |
| 0.05          | 5.0   | 1305 | 0.0205          |
| 0.0192        | 6.0   | 1566 | 0.0203          |
| 0.0192        | 7.0   | 1827 | 0.0201          |
| 0.012         | 8.0   | 2088 | 0.0191          |
| 0.012         | 9.0   | 2349 | 0.0199          |
| 0.0077        | 10.0  | 2610 | 0.0193          |
| 0.0077        | 11.0  | 2871 | 0.0189          |
| 0.0069        | 12.0  | 3132 | 0.0196          |
| 0.0069        | 13.0  | 3393 | 0.0203          |
| 0.0063        | 14.0  | 3654 | 0.0193          |
| 0.0063        | 15.0  | 3915 | 0.0198          |
| 0.0057        | 16.0  | 4176 | 0.0196          |
| 0.0057        | 17.0  | 4437 | 0.0198          |
| 0.0034        | 18.0  | 4698 | 0.0202          |
| 0.0034        | 19.0  | 4959 | 0.0204          |
| 0.0032        | 20.0  | 5220 | 0.0208          |
| 0.0032        | 21.0  | 5481 | 0.0206          |
| 0.0033        | 22.0  | 5742 | 0.0207          |
| 0.003         | 23.0  | 6003 | 0.0208          |
| 0.003         | 24.0  | 6264 | 0.0208          |
| 0.0025        | 25.0  | 6525 | 0.0206          |
| 0.0025        | 26.0  | 6786 | 0.0206          |
| 0.0029        | 27.0  | 7047 | 0.0205          |
| 0.0029        | 28.0  | 7308 | 0.0204          |
| 0.0026        | 29.0  | 7569 | 0.0206          |
| 0.0026        | 30.0  | 7830 | 0.0205          |


### Framework versions

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