---
license: mit
tags:
- generated_from_trainer
model-index:
- name: spelling-correction-english-base-location-unique-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

This model is a fine-tuned version of [oliverguhr/spelling-correction-english-base](https://huggingface.co/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