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BERT-Autocorrector
oyounis/BERT-Autocorrector
BERT-Autocorrector is a fill-mask model from oyounis. Use it when you need the model to fill a missing word. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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439
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4.5 GB on disk
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At a glance
- Task
- Fill-Mask
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Apr 30, 2024
- Updated
- May 1, 2024
- SHA
- 628c73de
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Base models
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. -->
model
This model is a fine-tuned version of Twitter/twhin-bert-large on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.0642
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: 1e-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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.4071 | 1.0 | 150 | 2.2551 |
| 2.3437 | 2.0 | 300 | 2.1579 |
| 2.0723 | 3.0 | 450 | 2.0777 |
| 2.1794 | 4.0 | 600 | 2.0741 |
| 2.0892 | 5.0 | 750 | 2.0642 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Fill-Mask
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Languages
- ar, en
- Created
- Apr 30, 2024
- Updated
- May 1, 2024