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# canine_vowelizer_0701_retrain

This model is a fine-tuned version of [Buseak/canine_vowelizer_0701](https://huggingface.co/Buseak/canine_vowelizer_0701) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0066
- Precision: 1.0000
- Recall: 1.0000
- F1: 1.0000
- Accuracy: 0.9980

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| 0.0816        | 1.0   | 976  | 0.0322          | 1.0000    | 1.0000 | 1.0000 | 0.9891   |
| 0.0776        | 2.0   | 1952 | 0.0273          | 0.9999    | 1.0000 | 1.0000 | 0.9906   |
| 0.0694        | 3.0   | 2928 | 0.0228          | 0.9999    | 1.0000 | 1.0000 | 0.9924   |
| 0.0617        | 4.0   | 3904 | 0.0181          | 1.0000    | 1.0000 | 1.0000 | 0.9939   |
| 0.0559        | 5.0   | 4880 | 0.0144          | 1.0000    | 1.0000 | 1.0000 | 0.9952   |
| 0.0477        | 6.0   | 5856 | 0.0120          | 1.0000    | 1.0000 | 1.0000 | 0.9962   |
| 0.0438        | 7.0   | 6832 | 0.0098          | 1.0000    | 1.0000 | 1.0000 | 0.9969   |
| 0.0397        | 8.0   | 7808 | 0.0080          | 1.0000    | 1.0000 | 1.0000 | 0.9975   |
| 0.0365        | 9.0   | 8784 | 0.0071          | 1.0000    | 1.0000 | 1.0000 | 0.9978   |
| 0.0328        | 10.0  | 9760 | 0.0066          | 1.0000    | 1.0000 | 1.0000 | 0.9980   |


### Framework versions

- Transformers 4.28.0
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.13.3

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "model-index": [{"name": "canine_vowelizer_0701_retrain", "results": []}]}
transformers pytorch tensorboard canine token-classification generated_from_trainer license:apache-2.0 autotrain_compatible endpoints_compatible region:us