---
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: spell_corrector_bert2bert_1809_v3
  results: []
---

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# spell_corrector_bert2bert_1809_v3

This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0003
- Bleu: 65.6869
- Gen Len: 16.0563

## 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: 5e-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: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| No log        | 1.0   | 488  | 0.3069          | 51.7893 | 16.1497 |
| 0.9648        | 2.0   | 976  | 0.1273          | 60.1518 | 16.0477 |
| 0.4398        | 3.0   | 1464 | 0.0652          | 63.3763 | 16.0624 |
| 0.2445        | 4.0   | 1952 | 0.0458          | 64.0081 | 16.0741 |
| 0.1417        | 5.0   | 2440 | 0.0270          | 64.8793 | 16.057  |
| 0.0958        | 6.0   | 2928 | 0.0230          | 65.1021 | 16.0524 |
| 0.0667        | 7.0   | 3416 | 0.0152          | 65.3175 | 16.0559 |
| 0.051         | 8.0   | 3904 | 0.0123          | 65.4032 | 16.0619 |
| 0.0382        | 9.0   | 4392 | 0.0079          | 65.4965 | 16.0555 |
| 0.028         | 10.0  | 4880 | 0.0058          | 65.5698 | 16.0577 |
| 0.0192        | 11.0  | 5368 | 0.0036          | 65.6254 | 16.0565 |
| 0.0143        | 12.0  | 5856 | 0.0020          | 65.6452 | 16.0581 |
| 0.0109        | 13.0  | 6344 | 0.0009          | 65.679  | 16.0563 |
| 0.0075        | 14.0  | 6832 | 0.0004          | 65.6856 | 16.0563 |
| 0.0052        | 15.0  | 7320 | 0.0003          | 65.6869 | 16.0563 |


### Framework versions

- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3