---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: spell_correction_M05_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_M05_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: 0.0281

## 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   | 274  | 0.2890          |
| 1.8446        | 2.0   | 548  | 0.0540          |
| 1.8446        | 3.0   | 822  | 0.0403          |
| 0.028         | 4.0   | 1096 | 0.0344          |
| 0.028         | 5.0   | 1370 | 0.0289          |
| 0.0137        | 6.0   | 1644 | 0.0289          |
| 0.0137        | 7.0   | 1918 | 0.0283          |
| 0.0063        | 8.0   | 2192 | 0.0266          |
| 0.0063        | 9.0   | 2466 | 0.0271          |
| 0.0043        | 10.0  | 2740 | 0.0272          |
| 0.0033        | 11.0  | 3014 | 0.0281          |
| 0.0033        | 12.0  | 3288 | 0.0264          |
| 0.003         | 13.0  | 3562 | 0.0277          |
| 0.003         | 14.0  | 3836 | 0.0274          |
| 0.003         | 15.0  | 4110 | 0.0265          |
| 0.003         | 16.0  | 4384 | 0.0290          |
| 0.0024        | 17.0  | 4658 | 0.0276          |
| 0.0024        | 18.0  | 4932 | 0.0270          |
| 0.0025        | 19.0  | 5206 | 0.0276          |
| 0.0025        | 20.0  | 5480 | 0.0272          |
| 0.0016        | 21.0  | 5754 | 0.0271          |
| 0.0018        | 22.0  | 6028 | 0.0272          |
| 0.0018        | 23.0  | 6302 | 0.0282          |
| 0.0014        | 24.0  | 6576 | 0.0276          |
| 0.0014        | 25.0  | 6850 | 0.0283          |
| 0.0014        | 26.0  | 7124 | 0.0280          |
| 0.0014        | 27.0  | 7398 | 0.0279          |
| 0.0013        | 28.0  | 7672 | 0.0280          |
| 0.0013        | 29.0  | 7946 | 0.0282          |
| 0.0014        | 30.0  | 8220 | 0.0281          |


### Framework versions

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