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spelling-correction-english-base-finetuned-places
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: 0.1461
- Cer: 0.0143
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: 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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| 0.1608 | 1.0 | 875 | 0.1461 | 0.0143 |
| 0.13 | 2.0 | 1750 | 0.1461 | 0.0143 |
Framework versions
- Transformers 4.22.2
- Pytorch 1.12.1+cu113
- Datasets 2.5.1
- Tokenizers 0.12.1
