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spell_corrector_bert2bert_1809_v3
Buseak/spell_corrector_bert2bert_1809_v3
spell_corrector_bert2bert_1809_v3 is a machine learning model from Buseak. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- Model type
- encoder-decoder
- Access
- Public
- Created
- Sep 18, 2023
- Updated
- Sep 18, 2023
- SHA
- 03257398
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
spell_corrector_bert2bert_1809_v3
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0003
- Bleu: 65.6869
- Gen Len: 16.0563
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| No log | 1.0 | 488 | 0.3069 | 51.7893 | 16.1497 |
| 0.9648 | 2.0 | 976 | 0.1273 | 60.1518 | 16.0477 |
| 0.4398 | 3.0 | 1464 | 0.0652 | 63.3763 | 16.0624 |
| 0.2445 | 4.0 | 1952 | 0.0458 | 64.0081 | 16.0741 |
| 0.1417 | 5.0 | 2440 | 0.0270 | 64.8793 | 16.057 |
| 0.0958 | 6.0 | 2928 | 0.0230 | 65.1021 | 16.0524 |
| 0.0667 | 7.0 | 3416 | 0.0152 | 65.3175 | 16.0559 |
| 0.051 | 8.0 | 3904 | 0.0123 | 65.4032 | 16.0619 |
| 0.0382 | 9.0 | 4392 | 0.0079 | 65.4965 | 16.0555 |
| 0.028 | 10.0 | 4880 | 0.0058 | 65.5698 | 16.0577 |
| 0.0192 | 11.0 | 5368 | 0.0036 | 65.6254 | 16.0565 |
| 0.0143 | 12.0 | 5856 | 0.0020 | 65.6452 | 16.0581 |
| 0.0109 | 13.0 | 6344 | 0.0009 | 65.679 | 16.0563 |
| 0.0075 | 14.0 | 6832 | 0.0004 | 65.6856 | 16.0563 |
| 0.0052 | 15.0 | 7320 | 0.0003 | 65.6869 | 16.0563 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
- Library
- transformers
- Type
- encoder-decoder
- Created
- Sep 18, 2023
- Updated
- Sep 18, 2023