---
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
datasets:
- audiofolder
metrics:
- accuracy
model-index:
- name: dysarthria_classification
  results:
  - task:
      name: Audio Classification
      type: audio-classification
    dataset:
      name: audiofolder
      type: audiofolder
      config: default
      split: train
      args: default
    metrics:
    - name: Accuracy
      type: accuracy
      value: 0.175
---

<!-- 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. -->

# 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