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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_M04_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_M04_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: 0.0178
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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 | 269 | 0.2687 |
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| 1.8467 | 2.0 | 538 | 0.0361 |
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| 1.8467 | 3.0 | 807 | 0.0241 |
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| 0.0357 | 4.0 | 1076 | 0.0198 |
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| 0.0357 | 5.0 | 1345 | 0.0199 |
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| 0.0159 | 6.0 | 1614 | 0.0175 |
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| 0.0159 | 7.0 | 1883 | 0.0179 |
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| 0.0077 | 8.0 | 2152 | 0.0189 |
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| 0.0077 | 9.0 | 2421 | 0.0183 |
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| 0.006 | 10.0 | 2690 | 0.0183 |
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| 0.006 | 11.0 | 2959 | 0.0191 |
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| 0.0044 | 12.0 | 3228 | 0.0186 |
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| 0.0044 | 13.0 | 3497 | 0.0192 |
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| 0.0033 | 14.0 | 3766 | 0.0189 |
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| 0.0024 | 15.0 | 4035 | 0.0173 |
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| 0.0024 | 16.0 | 4304 | 0.0171 |
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| 0.0026 | 17.0 | 4573 | 0.0183 |
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| 0.0026 | 18.0 | 4842 | 0.0181 |
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| 0.0021 | 19.0 | 5111 | 0.0177 |
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| 0.0021 | 20.0 | 5380 | 0.0174 |
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| 0.0015 | 21.0 | 5649 | 0.0173 |
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| 0.0015 | 22.0 | 5918 | 0.0174 |
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| 0.0016 | 23.0 | 6187 | 0.0178 |
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| 0.0016 | 24.0 | 6456 | 0.0180 |
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| 0.0018 | 25.0 | 6725 | 0.0175 |
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| 0.0018 | 26.0 | 6994 | 0.0171 |
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| 0.0017 | 27.0 | 7263 | 0.0175 |
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| 0.0014 | 28.0 | 7532 | 0.0177 |
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| 0.0014 | 29.0 | 7801 | 0.0178 |
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| 0.0013 | 30.0 | 8070 | 0.0178 |
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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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