---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: spell_correction_M04_V3
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# spell_correction_M04_V3

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: 0.0178

## 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   | 269  | 0.2687          |
| 1.8467        | 2.0   | 538  | 0.0361          |
| 1.8467        | 3.0   | 807  | 0.0241          |
| 0.0357        | 4.0   | 1076 | 0.0198          |
| 0.0357        | 5.0   | 1345 | 0.0199          |
| 0.0159        | 6.0   | 1614 | 0.0175          |
| 0.0159        | 7.0   | 1883 | 0.0179          |
| 0.0077        | 8.0   | 2152 | 0.0189          |
| 0.0077        | 9.0   | 2421 | 0.0183          |
| 0.006         | 10.0  | 2690 | 0.0183          |
| 0.006         | 11.0  | 2959 | 0.0191          |
| 0.0044        | 12.0  | 3228 | 0.0186          |
| 0.0044        | 13.0  | 3497 | 0.0192          |
| 0.0033        | 14.0  | 3766 | 0.0189          |
| 0.0024        | 15.0  | 4035 | 0.0173          |
| 0.0024        | 16.0  | 4304 | 0.0171          |
| 0.0026        | 17.0  | 4573 | 0.0183          |
| 0.0026        | 18.0  | 4842 | 0.0181          |
| 0.0021        | 19.0  | 5111 | 0.0177          |
| 0.0021        | 20.0  | 5380 | 0.0174          |
| 0.0015        | 21.0  | 5649 | 0.0173          |
| 0.0015        | 22.0  | 5918 | 0.0174          |
| 0.0016        | 23.0  | 6187 | 0.0178          |
| 0.0016        | 24.0  | 6456 | 0.0180          |
| 0.0018        | 25.0  | 6725 | 0.0175          |
| 0.0018        | 26.0  | 6994 | 0.0171          |
| 0.0017        | 27.0  | 7263 | 0.0175          |
| 0.0014        | 28.0  | 7532 | 0.0177          |
| 0.0014        | 29.0  | 7801 | 0.0178          |
| 0.0013        | 30.0  | 8070 | 0.0178          |


### Framework versions

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