---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: spell_correction_F03_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_F03_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: 0.0490

## 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   | 248  | 1.0015          |
| No log        | 2.0   | 496  | 0.3499          |
| 2.4465        | 3.0   | 744  | 0.1456          |
| 2.4465        | 4.0   | 992  | 0.0854          |
| 0.1986        | 5.0   | 1240 | 0.0689          |
| 0.1986        | 6.0   | 1488 | 0.0619          |
| 0.0578        | 7.0   | 1736 | 0.0571          |
| 0.0578        | 8.0   | 1984 | 0.0525          |
| 0.0269        | 9.0   | 2232 | 0.0524          |
| 0.0269        | 10.0  | 2480 | 0.0517          |
| 0.0172        | 11.0  | 2728 | 0.0498          |
| 0.0172        | 12.0  | 2976 | 0.0488          |
| 0.0113        | 13.0  | 3224 | 0.0500          |
| 0.0113        | 14.0  | 3472 | 0.0493          |
| 0.0088        | 15.0  | 3720 | 0.0496          |
| 0.0088        | 16.0  | 3968 | 0.0495          |
| 0.0077        | 17.0  | 4216 | 0.0477          |
| 0.0077        | 18.0  | 4464 | 0.0489          |
| 0.0066        | 19.0  | 4712 | 0.0476          |
| 0.0066        | 20.0  | 4960 | 0.0489          |
| 0.0064        | 21.0  | 5208 | 0.0486          |
| 0.0064        | 22.0  | 5456 | 0.0494          |
| 0.0063        | 23.0  | 5704 | 0.0494          |
| 0.0063        | 24.0  | 5952 | 0.0497          |
| 0.004         | 25.0  | 6200 | 0.0495          |
| 0.004         | 26.0  | 6448 | 0.0493          |
| 0.0045        | 27.0  | 6696 | 0.0491          |
| 0.0045        | 28.0  | 6944 | 0.0490          |
| 0.0039        | 29.0  | 7192 | 0.0490          |
| 0.0039        | 30.0  | 7440 | 0.0490          |


### Framework versions

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