---
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: laryngitis-iau
  results: []
---

<!-- 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. -->

# laryngitis-iau

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: 0.5821
- Accuracy: 0.7727

## 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: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.6819        | 1.0   | 6    | 0.6926          | 0.5      |
| 0.6668        | 2.0   | 12   | 0.6997          | 0.3636   |
| 0.6168        | 3.0   | 18   | 0.6912          | 0.6364   |
| 0.5771        | 4.0   | 24   | 0.7330          | 0.6818   |
| 0.5231        | 5.0   | 30   | 0.6736          | 0.6818   |
| 0.474         | 6.0   | 36   | 0.6570          | 0.7273   |
| 0.4029        | 7.0   | 42   | 0.5917          | 0.7273   |
| 0.3747        | 8.0   | 48   | 0.5627          | 0.7273   |
| 0.3115        | 9.0   | 54   | 0.5429          | 0.7273   |
| 0.2836        | 10.0  | 60   | 0.6073          | 0.7727   |
| 0.214         | 11.0  | 66   | 0.4841          | 0.7273   |
| 0.1808        | 12.0  | 72   | 0.5193          | 0.8182   |
| 0.1979        | 13.0  | 78   | 0.5541          | 0.8182   |
| 0.1477        | 14.0  | 84   | 0.5782          | 0.7727   |
| 0.1348        | 15.0  | 90   | 0.5821          | 0.7727   |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.2.0
- Datasets 2.12.0
- Tokenizers 0.15.1