---
license: apache-2.0
base_model: oyounis/BERT-Autocorrector
tags:
- generated_from_trainer
model-index:
- name: model
  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. -->

# model

This model is a fine-tuned version of [oyounis/BERT-Autocorrector](https://huggingface.co/oyounis/BERT-Autocorrector) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.9846

## 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: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 300  | 2.1807          |
| 2.4036        | 2.0   | 600  | 2.0895          |
| 2.4036        | 3.0   | 900  | 2.0379          |
| 2.1945        | 4.0   | 1200 | 1.9572          |
| 2.1093        | 5.0   | 1500 | 1.9846          |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2