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--- |
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tags: |
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- generated_from_trainer |
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metrics: |
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- bleu |
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model-index: |
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- name: spell_corrector_bert2bert_1809_v3 |
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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_corrector_bert2bert_1809_v3 |
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This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0003 |
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- Bleu: 65.6869 |
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- Gen Len: 16.0563 |
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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: 5e-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: 15 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:| |
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| No log | 1.0 | 488 | 0.3069 | 51.7893 | 16.1497 | |
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| 0.9648 | 2.0 | 976 | 0.1273 | 60.1518 | 16.0477 | |
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| 0.4398 | 3.0 | 1464 | 0.0652 | 63.3763 | 16.0624 | |
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| 0.2445 | 4.0 | 1952 | 0.0458 | 64.0081 | 16.0741 | |
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| 0.1417 | 5.0 | 2440 | 0.0270 | 64.8793 | 16.057 | |
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| 0.0958 | 6.0 | 2928 | 0.0230 | 65.1021 | 16.0524 | |
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| 0.0667 | 7.0 | 3416 | 0.0152 | 65.3175 | 16.0559 | |
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| 0.051 | 8.0 | 3904 | 0.0123 | 65.4032 | 16.0619 | |
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| 0.0382 | 9.0 | 4392 | 0.0079 | 65.4965 | 16.0555 | |
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| 0.028 | 10.0 | 4880 | 0.0058 | 65.5698 | 16.0577 | |
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| 0.0192 | 11.0 | 5368 | 0.0036 | 65.6254 | 16.0565 | |
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| 0.0143 | 12.0 | 5856 | 0.0020 | 65.6452 | 16.0581 | |
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| 0.0109 | 13.0 | 6344 | 0.0009 | 65.679 | 16.0563 | |
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| 0.0075 | 14.0 | 6832 | 0.0004 | 65.6856 | 16.0563 | |
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| 0.0052 | 15.0 | 7320 | 0.0003 | 65.6869 | 16.0563 | |
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### Framework versions |
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- Transformers 4.33.2 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.5 |
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- Tokenizers 0.13.3 |
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