---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: spell_correction_M04_verification
  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_M04_verification

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: 0.0588

## 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  | 0.3070          |
| 1.8826        | 2.0   | 538  | 0.0769          |
| 1.8826        | 3.0   | 807  | 0.0592          |
| 0.0711        | 4.0   | 1076 | 0.0577          |
| 0.0711        | 5.0   | 1345 | 0.0563          |
| 0.04          | 6.0   | 1614 | 0.0562          |
| 0.04          | 7.0   | 1883 | 0.0560          |
| 0.0265        | 8.0   | 2152 | 0.0544          |
| 0.0265        | 9.0   | 2421 | 0.0540          |
| 0.0196        | 10.0  | 2690 | 0.0534          |
| 0.0196        | 11.0  | 2959 | 0.0548          |
| 0.015         | 12.0  | 3228 | 0.0552          |
| 0.015         | 13.0  | 3497 | 0.0578          |
| 0.0123        | 14.0  | 3766 | 0.0591          |
| 0.0116        | 15.0  | 4035 | 0.0578          |
| 0.0116        | 16.0  | 4304 | 0.0580          |
| 0.0091        | 17.0  | 4573 | 0.0592          |
| 0.0091        | 18.0  | 4842 | 0.0596          |
| 0.0088        | 19.0  | 5111 | 0.0605          |
| 0.0088        | 20.0  | 5380 | 0.0569          |
| 0.0074        | 21.0  | 5649 | 0.0598          |
| 0.0074        | 22.0  | 5918 | 0.0587          |
| 0.0078        | 23.0  | 6187 | 0.0589          |
| 0.0078        | 24.0  | 6456 | 0.0586          |
| 0.0068        | 25.0  | 6725 | 0.0588          |
| 0.0068        | 26.0  | 6994 | 0.0591          |
| 0.0076        | 27.0  | 7263 | 0.0590          |
| 0.0072        | 28.0  | 7532 | 0.0587          |
| 0.0072        | 29.0  | 7801 | 0.0587          |
| 0.0059        | 30.0  | 8070 | 0.0588          |


### Framework versions

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