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