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# spellcorrector_17_02_050_qwerty_v4

This model is a fine-tuned version of [Buseak/spellcorrector_17_02_050_qwerty](https://huggingface.co/Buseak/spellcorrector_17_02_050_qwerty) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0036
- Precision: 0.9989
- Recall: 0.9995
- F1: 0.9992
- Accuracy: 0.9991

## 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| 0.0368        | 1.0   | 967  | 0.0185          | 0.9935    | 0.9903 | 0.9919 | 0.9943   |
| 0.0329        | 2.0   | 1934 | 0.0159          | 0.9935    | 0.9887 | 0.9911 | 0.9952   |
| 0.0283        | 3.0   | 2901 | 0.0136          | 0.9952    | 0.9914 | 0.9933 | 0.9960   |
| 0.024         | 4.0   | 3868 | 0.0103          | 0.9952    | 0.9914 | 0.9933 | 0.9970   |
| 0.0209        | 5.0   | 4835 | 0.0090          | 0.9968    | 0.9936 | 0.9952 | 0.9973   |
| 0.0181        | 6.0   | 5802 | 0.0069          | 0.9978    | 0.9957 | 0.9968 | 0.9980   |
| 0.015         | 7.0   | 6769 | 0.0057          | 0.9989    | 0.9995 | 0.9992 | 0.9984   |
| 0.0132        | 8.0   | 7736 | 0.0045          | 0.9984    | 0.9995 | 0.9989 | 0.9988   |
| 0.0119        | 9.0   | 8703 | 0.0039          | 0.9989    | 0.9995 | 0.9992 | 0.9990   |
| 0.0104        | 10.0  | 9670 | 0.0036          | 0.9989    | 0.9995 | 0.9992 | 0.9991   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "Buseak/spellcorrector_17_02_050_qwerty", "model-index": [{"name": "spellcorrector_17_02_050_qwerty_v4", "results": []}]}
transformers tensorboard safetensors canine token-classification generated_from_trainer base_model:Buseak/spellcorrector_17_02_050_qwerty license:apache-2.0 autotrain_compatible endpoints_compatible region:us