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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_M03_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_M03_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: 0.0205 |
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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 | 261 | 0.3991 | |
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| 1.9255 | 2.0 | 522 | 0.0588 | |
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| 1.9255 | 3.0 | 783 | 0.0308 | |
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| 0.05 | 4.0 | 1044 | 0.0239 | |
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| 0.05 | 5.0 | 1305 | 0.0205 | |
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| 0.0192 | 6.0 | 1566 | 0.0203 | |
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| 0.0192 | 7.0 | 1827 | 0.0201 | |
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| 0.012 | 8.0 | 2088 | 0.0191 | |
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| 0.012 | 9.0 | 2349 | 0.0199 | |
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| 0.0077 | 10.0 | 2610 | 0.0193 | |
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| 0.0077 | 11.0 | 2871 | 0.0189 | |
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| 0.0069 | 12.0 | 3132 | 0.0196 | |
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| 0.0069 | 13.0 | 3393 | 0.0203 | |
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| 0.0063 | 14.0 | 3654 | 0.0193 | |
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| 0.0063 | 15.0 | 3915 | 0.0198 | |
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| 0.0057 | 16.0 | 4176 | 0.0196 | |
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| 0.0057 | 17.0 | 4437 | 0.0198 | |
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| 0.0034 | 18.0 | 4698 | 0.0202 | |
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| 0.0034 | 19.0 | 4959 | 0.0204 | |
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| 0.0032 | 20.0 | 5220 | 0.0208 | |
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| 0.0032 | 21.0 | 5481 | 0.0206 | |
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| 0.0033 | 22.0 | 5742 | 0.0207 | |
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| 0.003 | 23.0 | 6003 | 0.0208 | |
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| 0.003 | 24.0 | 6264 | 0.0208 | |
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| 0.0025 | 25.0 | 6525 | 0.0206 | |
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| 0.0025 | 26.0 | 6786 | 0.0206 | |
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| 0.0029 | 27.0 | 7047 | 0.0205 | |
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| 0.0029 | 28.0 | 7308 | 0.0204 | |
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| 0.0026 | 29.0 | 7569 | 0.0206 | |
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| 0.0026 | 30.0 | 7830 | 0.0205 | |
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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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