---
license: apache-2.0
base_model: Buseak/spellcorrector_20_02_050_qwerty_v11
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: spellcorrector_20_02_050_qwerty_v13
  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_v13

This model is a fine-tuned version of [Buseak/spellcorrector_20_02_050_qwerty_v11](https://huggingface.co/Buseak/spellcorrector_20_02_050_qwerty_v11) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0000
- Precision: 1.0
- Recall: 0.9995
- F1: 0.9997
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:|
| 0.0398        | 1.0   | 967   | 0.0161          | 0.9941    | 0.9898 | 0.9919 | 0.9953   |
| 0.0227        | 2.0   | 1934  | 0.0103          | 0.9952    | 0.9919 | 0.9935 | 0.9970   |
| 0.017         | 3.0   | 2901  | 0.0072          | 0.9936    | 0.9957 | 0.9946 | 0.9978   |
| 0.0126        | 4.0   | 3868  | 0.0048          | 0.9978    | 0.9946 | 0.9962 | 0.9986   |
| 0.0104        | 5.0   | 4835  | 0.0034          | 0.9989    | 0.9973 | 0.9981 | 0.9990   |
| 0.0082        | 6.0   | 5802  | 0.0022          | 0.9989    | 0.9979 | 0.9984 | 0.9993   |
| 0.0064        | 7.0   | 6769  | 0.0015          | 0.9989    | 0.9973 | 0.9981 | 0.9996   |
| 0.0055        | 8.0   | 7736  | 0.0013          | 0.9995    | 0.9989 | 0.9992 | 0.9996   |
| 0.0042        | 9.0   | 8703  | 0.0007          | 0.9989    | 0.9979 | 0.9984 | 0.9998   |
| 0.0035        | 10.0  | 9670  | 0.0004          | 0.9995    | 0.9989 | 0.9992 | 0.9999   |
| 0.0032        | 11.0  | 10637 | 0.0003          | 0.9995    | 0.9989 | 0.9992 | 0.9999   |
| 0.0025        | 12.0  | 11604 | 0.0002          | 0.9995    | 0.9989 | 0.9992 | 1.0000   |
| 0.0022        | 13.0  | 12571 | 0.0002          | 0.9995    | 0.9989 | 0.9992 | 1.0000   |
| 0.002         | 14.0  | 13538 | 0.0001          | 1.0       | 0.9989 | 0.9995 | 1.0000   |
| 0.0015        | 15.0  | 14505 | 0.0001          | 0.9995    | 1.0    | 0.9997 | 1.0000   |
| 0.0013        | 16.0  | 15472 | 0.0001          | 0.9995    | 1.0    | 0.9997 | 1.0000   |
| 0.0012        | 17.0  | 16439 | 0.0001          | 1.0       | 1.0    | 1.0    | 1.0000   |
| 0.001         | 18.0  | 17406 | 0.0000          | 1.0       | 0.9995 | 0.9997 | 1.0000   |
| 0.0009        | 19.0  | 18373 | 0.0000          | 1.0       | 0.9995 | 0.9997 | 1.0000   |
| 0.0009        | 20.0  | 19340 | 0.0000          | 1.0       | 0.9995 | 0.9997 | 1.0000   |


### Framework versions

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