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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_M05_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_M05_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: 0.0281 |
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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 | 274 | 0.2890 | |
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| 1.8446 | 2.0 | 548 | 0.0540 | |
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| 1.8446 | 3.0 | 822 | 0.0403 | |
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| 0.028 | 4.0 | 1096 | 0.0344 | |
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| 0.028 | 5.0 | 1370 | 0.0289 | |
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| 0.0137 | 6.0 | 1644 | 0.0289 | |
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| 0.0137 | 7.0 | 1918 | 0.0283 | |
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| 0.0063 | 8.0 | 2192 | 0.0266 | |
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| 0.0063 | 9.0 | 2466 | 0.0271 | |
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| 0.0043 | 10.0 | 2740 | 0.0272 | |
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| 0.0033 | 11.0 | 3014 | 0.0281 | |
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| 0.0033 | 12.0 | 3288 | 0.0264 | |
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| 0.003 | 13.0 | 3562 | 0.0277 | |
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| 0.003 | 14.0 | 3836 | 0.0274 | |
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| 0.003 | 15.0 | 4110 | 0.0265 | |
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| 0.003 | 16.0 | 4384 | 0.0290 | |
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| 0.0024 | 17.0 | 4658 | 0.0276 | |
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| 0.0024 | 18.0 | 4932 | 0.0270 | |
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| 0.0025 | 19.0 | 5206 | 0.0276 | |
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| 0.0025 | 20.0 | 5480 | 0.0272 | |
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| 0.0016 | 21.0 | 5754 | 0.0271 | |
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| 0.0018 | 22.0 | 6028 | 0.0272 | |
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| 0.0018 | 23.0 | 6302 | 0.0282 | |
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| 0.0014 | 24.0 | 6576 | 0.0276 | |
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| 0.0014 | 25.0 | 6850 | 0.0283 | |
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| 0.0014 | 26.0 | 7124 | 0.0280 | |
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| 0.0014 | 27.0 | 7398 | 0.0279 | |
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| 0.0013 | 28.0 | 7672 | 0.0280 | |
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| 0.0013 | 29.0 | 7946 | 0.0282 | |
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| 0.0014 | 30.0 | 8220 | 0.0281 | |
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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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