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update model card README.md
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README.md
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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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model-index:
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- name: spell_correction_F01_LM
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# spell_correction_F01_LM
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This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0147
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 1e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 30
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| No log | 1.0 | 294 | 0.1889 |
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| 1.8488 | 2.0 | 588 | 0.0392 |
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| 1.8488 | 3.0 | 882 | 0.0260 |
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| 0.0369 | 4.0 | 1176 | 0.0212 |
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| 0.0369 | 5.0 | 1470 | 0.0170 |
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| 0.0182 | 6.0 | 1764 | 0.0162 |
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| 0.0105 | 7.0 | 2058 | 0.0173 |
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| 0.0105 | 8.0 | 2352 | 0.0177 |
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| 0.0083 | 9.0 | 2646 | 0.0176 |
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| 0.0083 | 10.0 | 2940 | 0.0164 |
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| 0.0057 | 11.0 | 3234 | 0.0149 |
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| 0.0037 | 12.0 | 3528 | 0.0168 |
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| 0.0037 | 13.0 | 3822 | 0.0164 |
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| 0.003 | 14.0 | 4116 | 0.0156 |
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| 0.003 | 15.0 | 4410 | 0.0151 |
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| 0.003 | 16.0 | 4704 | 0.0152 |
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| 0.003 | 17.0 | 4998 | 0.0149 |
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| 0.0028 | 18.0 | 5292 | 0.0153 |
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| 0.002 | 19.0 | 5586 | 0.0146 |
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| 0.002 | 20.0 | 5880 | 0.0147 |
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| 0.0021 | 21.0 | 6174 | 0.0146 |
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| 0.0021 | 22.0 | 6468 | 0.0149 |
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| 0.0025 | 23.0 | 6762 | 0.0146 |
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| 0.0018 | 24.0 | 7056 | 0.0150 |
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| 0.0018 | 25.0 | 7350 | 0.0147 |
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| 0.0021 | 26.0 | 7644 | 0.0145 |
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| 0.0021 | 27.0 | 7938 | 0.0147 |
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| 0.0017 | 28.0 | 8232 | 0.0146 |
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| 0.0014 | 29.0 | 8526 | 0.0147 |
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| 0.0014 | 30.0 | 8820 | 0.0147 |
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### Framework versions
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- Transformers 4.28.0
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- Pytorch 1.12.1+cu102
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- Datasets 2.13.1
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- Tokenizers 0.13.3
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