---
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: 0.9754
- Accuracy: 0.3846

## 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: 5e-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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.7094        | 1.0   | 4    | 0.7174          | 0.3846   |
| 0.7136        | 2.0   | 8    | 0.7253          | 0.3846   |
| 0.5748        | 3.0   | 12   | 0.7792          | 0.3846   |
| 0.5697        | 4.0   | 16   | 0.8618          | 0.3846   |
| 0.6178        | 5.0   | 20   | 0.8132          | 0.3846   |
| 0.5846        | 6.0   | 24   | 0.7702          | 0.3846   |
| 0.6907        | 7.0   | 28   | 0.7661          | 0.3846   |
| 0.641         | 8.0   | 32   | 0.7716          | 0.3846   |
| 0.8116        | 9.0   | 36   | 1.0015          | 0.3846   |
| 0.5889        | 10.0  | 40   | 0.9754          | 0.3846   |


### Framework versions

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