---
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: shimalabaudio-20240425
  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. -->

# shimalabaudio-20240425

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: 0.7193
- Accuracy: 0.5385

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.6884        | 1.0   | 4    | 0.6969          | 0.3846   |
| 0.6795        | 2.0   | 8    | 0.7070          | 0.3846   |
| 0.604         | 3.0   | 12   | 0.7304          | 0.3846   |
| 0.6326        | 4.0   | 16   | 0.7299          | 0.4615   |
| 0.6014        | 5.0   | 20   | 0.7191          | 0.4615   |
| 0.5396        | 6.0   | 24   | 0.7744          | 0.3077   |
| 0.599         | 7.0   | 28   | 0.7345          | 0.4615   |
| 0.8114        | 8.0   | 32   | 0.7081          | 0.5385   |
| 0.7966        | 9.0   | 36   | 0.7111          | 0.5385   |
| 0.6202        | 10.0  | 40   | 0.7193          | 0.5385   |


### Framework versions

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