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

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: 0.7096
- Accuracy: 0.4545

## 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: 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.6975        | 1.0   | 6    | 0.7157          | 0.3182   |
| 0.6785        | 2.0   | 12   | 0.7382          | 0.3182   |
| 0.6646        | 3.0   | 18   | 0.7378          | 0.3182   |
| 0.6157        | 4.0   | 24   | 0.7488          | 0.3182   |
| 0.5937        | 5.0   | 30   | 0.7132          | 0.4091   |
| 0.5625        | 6.0   | 36   | 0.7259          | 0.3636   |
| 0.5731        | 7.0   | 42   | 0.7300          | 0.4091   |
| 0.5682        | 8.0   | 48   | 0.7523          | 0.3636   |
| 0.482         | 9.0   | 54   | 0.7167          | 0.3636   |
| 0.5232        | 10.0  | 60   | 0.7096          | 0.4545   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1