readme: ---
  license: mit
  tags:
  - generated_from_trainer
  model-index:
  - name: spelling-correction-english-base-location-unique-2-2
    results: []
  ---
  
  <!-- 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-unique-2-2
  
  This model is a fine-tuned version of [grantslewis/spelling-correction-english-base-location-unique-2](https://huggingface.co/grantslewis/spelling-correction-english-base-location-unique-2) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.8272
  - Cer: 0.1685
  
  ## 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: 4
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Cer    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | No log        | 1.0   | 470  | 0.8853          | 0.1740 |
  | 0.808         | 2.0   | 940  | 0.8494          | 0.1679 |
  | 0.7434        | 3.0   | 1410 | 0.8288          | 0.1700 |
  | 0.7324        | 4.0   | 1880 | 0.8272          | 0.1685 |
  
  
  ### Framework versions
  
  - Transformers 4.22.2
  - Pytorch 1.12.1+cu113
  - Datasets 2.5.2
  - Tokenizers 0.12.1
  