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---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: spell_correction_M01_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_M01_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: 0.0170
## 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 | 264 | 0.3516 |
| 1.8892 | 2.0 | 528 | 0.0561 |
| 1.8892 | 3.0 | 792 | 0.0324 |
| 0.0396 | 4.0 | 1056 | 0.0264 |
| 0.0396 | 5.0 | 1320 | 0.0238 |
| 0.0163 | 6.0 | 1584 | 0.0212 |
| 0.0163 | 7.0 | 1848 | 0.0212 |
| 0.0081 | 8.0 | 2112 | 0.0194 |
| 0.0081 | 9.0 | 2376 | 0.0206 |
| 0.0061 | 10.0 | 2640 | 0.0195 |
| 0.0061 | 11.0 | 2904 | 0.0182 |
| 0.004 | 12.0 | 3168 | 0.0182 |
| 0.004 | 13.0 | 3432 | 0.0180 |
| 0.0042 | 14.0 | 3696 | 0.0172 |
| 0.0042 | 15.0 | 3960 | 0.0183 |
| 0.0026 | 16.0 | 4224 | 0.0184 |
| 0.0026 | 17.0 | 4488 | 0.0170 |
| 0.0034 | 18.0 | 4752 | 0.0169 |
| 0.0023 | 19.0 | 5016 | 0.0169 |
| 0.0023 | 20.0 | 5280 | 0.0167 |
| 0.0029 | 21.0 | 5544 | 0.0182 |
| 0.0029 | 22.0 | 5808 | 0.0178 |
| 0.0019 | 23.0 | 6072 | 0.0188 |
| 0.0019 | 24.0 | 6336 | 0.0179 |
| 0.0018 | 25.0 | 6600 | 0.0177 |
| 0.0018 | 26.0 | 6864 | 0.0171 |
| 0.0023 | 27.0 | 7128 | 0.0172 |
| 0.0023 | 28.0 | 7392 | 0.0171 |
| 0.0021 | 29.0 | 7656 | 0.0169 |
| 0.0021 | 30.0 | 7920 | 0.0170 |
### Framework versions
- Transformers 4.28.0
- Pytorch 1.12.1+cu102
- Datasets 2.13.1
- Tokenizers 0.13.3
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