---
license: apache-2.0
base_model: Buseak/spellcorrector_20_02_050_qwerty_v7
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: spellcorrector_20_02_050_qwerty_v11
  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. -->

# spellcorrector_20_02_050_qwerty_v11

This model is a fine-tuned version of [Buseak/spellcorrector_20_02_050_qwerty_v7](https://huggingface.co/Buseak/spellcorrector_20_02_050_qwerty_v7) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0001
- Precision: 0.9989
- Recall: 0.9984
- F1: 0.9987
- Accuracy: 1.0000

## 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: 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: 20

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Precision | Recall | F1     | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:|
| 0.0558        | 1.0   | 967   | 0.0281          | 0.9919    | 0.9909 | 0.9914 | 0.9917   |
| 0.0391        | 2.0   | 1934  | 0.0200          | 0.9941    | 0.9930 | 0.9936 | 0.9940   |
| 0.0295        | 3.0   | 2901  | 0.0141          | 0.9952    | 0.9941 | 0.9946 | 0.9957   |
| 0.0239        | 4.0   | 3868  | 0.0107          | 0.9957    | 0.9952 | 0.9954 | 0.9968   |
| 0.0201        | 5.0   | 4835  | 0.0075          | 0.9957    | 0.9962 | 0.9960 | 0.9977   |
| 0.0174        | 6.0   | 5802  | 0.0054          | 0.9984    | 0.9968 | 0.9976 | 0.9984   |
| 0.0138        | 7.0   | 6769  | 0.0042          | 0.9979    | 0.9973 | 0.9976 | 0.9988   |
| 0.0117        | 8.0   | 7736  | 0.0028          | 0.9984    | 0.9979 | 0.9981 | 0.9992   |
| 0.0098        | 9.0   | 8703  | 0.0021          | 0.9979    | 0.9979 | 0.9979 | 0.9994   |
| 0.0081        | 10.0  | 9670  | 0.0014          | 0.9984    | 0.9984 | 0.9984 | 0.9996   |
| 0.0073        | 11.0  | 10637 | 0.0011          | 0.9989    | 0.9984 | 0.9987 | 0.9997   |
| 0.006         | 12.0  | 11604 | 0.0009          | 0.9989    | 0.9984 | 0.9987 | 0.9998   |
| 0.0056        | 13.0  | 12571 | 0.0006          | 0.9989    | 0.9984 | 0.9987 | 0.9999   |
| 0.0045        | 14.0  | 13538 | 0.0004          | 0.9989    | 0.9984 | 0.9987 | 0.9999   |
| 0.0039        | 15.0  | 14505 | 0.0003          | 0.9989    | 0.9984 | 0.9987 | 0.9999   |
| 0.0033        | 16.0  | 15472 | 0.0003          | 0.9989    | 0.9984 | 0.9987 | 1.0000   |
| 0.0029        | 17.0  | 16439 | 0.0002          | 0.9989    | 0.9984 | 0.9987 | 1.0000   |
| 0.0026        | 18.0  | 17406 | 0.0002          | 0.9989    | 0.9984 | 0.9987 | 1.0000   |
| 0.0023        | 19.0  | 18373 | 0.0002          | 0.9989    | 0.9984 | 0.9987 | 1.0000   |
| 0.0021        | 20.0  | 19340 | 0.0001          | 0.9989    | 0.9984 | 0.9987 | 1.0000   |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2