---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: spell_correction_M02_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_M02_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: 0.0138

## 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   | 263  | 0.3208          |
| 1.8633        | 2.0   | 526  | 0.0425          |
| 1.8633        | 3.0   | 789  | 0.0253          |
| 0.037         | 4.0   | 1052 | 0.0210          |
| 0.037         | 5.0   | 1315 | 0.0172          |
| 0.015         | 6.0   | 1578 | 0.0162          |
| 0.015         | 7.0   | 1841 | 0.0156          |
| 0.01          | 8.0   | 2104 | 0.0151          |
| 0.01          | 9.0   | 2367 | 0.0150          |
| 0.0063        | 10.0  | 2630 | 0.0153          |
| 0.0063        | 11.0  | 2893 | 0.0141          |
| 0.0049        | 12.0  | 3156 | 0.0140          |
| 0.0049        | 13.0  | 3419 | 0.0150          |
| 0.0039        | 14.0  | 3682 | 0.0136          |
| 0.0039        | 15.0  | 3945 | 0.0147          |
| 0.0027        | 16.0  | 4208 | 0.0142          |
| 0.0027        | 17.0  | 4471 | 0.0128          |
| 0.0028        | 18.0  | 4734 | 0.0128          |
| 0.0028        | 19.0  | 4997 | 0.0128          |
| 0.0029        | 20.0  | 5260 | 0.0131          |
| 0.0022        | 21.0  | 5523 | 0.0139          |
| 0.0022        | 22.0  | 5786 | 0.0144          |
| 0.0018        | 23.0  | 6049 | 0.0136          |
| 0.0018        | 24.0  | 6312 | 0.0134          |
| 0.002         | 25.0  | 6575 | 0.0143          |
| 0.002         | 26.0  | 6838 | 0.0137          |
| 0.0016        | 27.0  | 7101 | 0.0137          |
| 0.0016        | 28.0  | 7364 | 0.0140          |
| 0.0018        | 29.0  | 7627 | 0.0139          |
| 0.0018        | 30.0  | 7890 | 0.0138          |


### Framework versions

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