---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: PSST_spell_correction_V3
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# PSST_spell_correction_V3

This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5390

## 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: 8
- eval_batch_size: 8
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.3418        | 1.0   | 3099  | 0.3206          |
| 0.2821        | 2.0   | 6198  | 0.3216          |
| 0.2467        | 3.0   | 9297  | 0.3501          |
| 0.2301        | 4.0   | 12396 | 0.3747          |
| 0.2152        | 5.0   | 15495 | 0.3614          |
| 0.2071        | 6.0   | 18594 | 0.3836          |
| 0.2002        | 7.0   | 21693 | 0.3923          |
| 0.1964        | 8.0   | 24792 | 0.4053          |
| 0.1953        | 9.0   | 27891 | 0.4154          |
| 0.1935        | 10.0  | 30990 | 0.4269          |
| 0.1918        | 11.0  | 34089 | 0.4381          |
| 0.1889        | 12.0  | 37188 | 0.4623          |
| 0.1886        | 13.0  | 40287 | 0.4586          |
| 0.1869        | 14.0  | 43386 | 0.4838          |
| 0.1867        | 15.0  | 46485 | 0.4984          |
| 0.1857        | 16.0  | 49584 | 0.4623          |
| 0.1843        | 17.0  | 52683 | 0.5020          |
| 0.1834        | 18.0  | 55782 | 0.5129          |
| 0.1832        | 19.0  | 58881 | 0.4972          |
| 0.1835        | 20.0  | 61980 | 0.4895          |
| 0.1822        | 21.0  | 65079 | 0.4992          |
| 0.1834        | 22.0  | 68178 | 0.5291          |
| 0.1816        | 23.0  | 71277 | 0.5351          |
| 0.1802        | 24.0  | 74376 | 0.5294          |
| 0.1796        | 25.0  | 77475 | 0.5443          |
| 0.1814        | 26.0  | 80574 | 0.5368          |
| 0.1804        | 27.0  | 83673 | 0.5375          |
| 0.1811        | 28.0  | 86772 | 0.5435          |
| 0.1811        | 29.0  | 89871 | 0.5391          |
| 0.1802        | 30.0  | 92970 | 0.5390          |


### Framework versions

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