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spelling-correction-english-base-location
grantslewis/spelling-correction-english-base-location
spelling-correction-english-base-location is a machine learning model from grantslewis. 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. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- mit
- Model type
- bart
- Access
- Public
- Created
- Sep 28, 2022
- Updated
- Sep 29, 2022
- SHA
- f77e7580
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. -->
spelling-correction-english-base-location
This model is a fine-tuned version of oliverguhr/spelling-correction-english-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0450
- Cer: 0.0109
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: 2e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| 0.0433 | 1.0 | 5875 | 0.0474 | 0.0104 |
| 0.0348 | 2.0 | 11750 | 0.0450 | 0.0109 |
Framework versions
- Transformers 4.22.2
- Pytorch 1.12.1+cu113
- Datasets 2.5.1
- Tokenizers 0.12.1
- Library
- transformers
- Type
- bart
- License
- mit
- Created
- Sep 28, 2022
- Updated
- Sep 29, 2022