spelling-correction-english-base-location-unique-2

This model is a fine-tuned version of oliverguhr/spelling-correction-english-base on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.9149
• Cer: 0.1747

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: 70
• eval_batch_size: 70
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Cer
No log	1.0	470	1.0012	0.1850
1.2217	2.0	940	0.9337	0.1747
1.0032	3.0	1410	0.9149	0.1747

Framework versions

• Transformers 4.22.2
• Pytorch 1.12.1+cu113
• Datasets 2.5.2
• Tokenizers 0.12.1