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# laryngitis-phrase

This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4868
- Accuracy: 0.8636

## 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: 3e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.6956        | 1.0   | 6    | 0.6940          | 0.4545   |
| 0.6829        | 2.0   | 12   | 0.7607          | 0.1818   |
| 0.6688        | 3.0   | 18   | 0.7834          | 0.1818   |
| 0.6342        | 4.0   | 24   | 0.7330          | 0.2727   |
| 0.5927        | 5.0   | 30   | 0.6679          | 0.6818   |
| 0.5485        | 6.0   | 36   | 0.6057          | 0.7273   |
| 0.5085        | 7.0   | 42   | 0.5197          | 0.8636   |
| 0.4655        | 8.0   | 48   | 0.4943          | 0.8636   |
| 0.4122        | 9.0   | 54   | 0.5054          | 0.8636   |
| 0.3926        | 10.0  | 60   | 0.4868          | 0.8636   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.1

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "facebook/wav2vec2-base", "model-index": [{"name": "laryngitis-phrase", "results": []}]}
transformers tensorboard safetensors wav2vec2 audio-classification generated_from_trainer base_model:facebook/wav2vec2-base license:apache-2.0 endpoints_compatible region:us