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# dysarthria_classification

This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the audiofolder dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3926
- Accuracy: 0.175

## 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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 3    | 1.3941          | 0.2      |
| No log        | 2.0   | 6    | 1.3945          | 0.2      |
| No log        | 3.0   | 9    | 1.3938          | 0.2      |
| 1.384         | 4.0   | 12   | 1.3934          | 0.15     |
| 1.384         | 5.0   | 15   | 1.3934          | 0.15     |
| 1.384         | 6.0   | 18   | 1.3935          | 0.15     |
| 1.3825        | 7.0   | 21   | 1.3930          | 0.15     |
| 1.3825        | 8.0   | 24   | 1.3927          | 0.15     |
| 1.3825        | 9.0   | 27   | 1.3926          | 0.175    |
| 1.3833        | 10.0  | 30   | 1.3926          | 0.175    |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["audiofolder"], "metrics": ["accuracy"], "base_model": "facebook/wav2vec2-base", "model-index": [{"name": "dysarthria_classification", "results": [{"task": {"type": "audio-classification", "name": "Audio Classification"}, "dataset": {"name": "audiofolder", "type": "audiofolder", "config": "default", "split": "train", "args": "default"}, "metrics": [{"type": "accuracy", "value": 0.175, "name": "Accuracy"}]}]}]}
transformers tensorboard safetensors wav2vec2 audio-classification generated_from_trainer dataset:audiofolder base_model:facebook/wav2vec2-base license:apache-2.0 model-index endpoints_compatible region:us