---
library_name: transformers
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: muk-luganda-digits-classification-clean
  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. -->

# muk-luganda-digits-classification-clean

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: 2.1182
- Accuracy: 0.4074

## 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: 1e-05
- train_batch_size: 4
- eval_batch_size: 1
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.3019        | 1.0   | 54   | 2.3080          | 0.0741   |
| 2.3011        | 2.0   | 108  | 2.3017          | 0.1852   |
| 2.2894        | 3.0   | 162  | 2.3069          | 0.0370   |
| 2.2761        | 4.0   | 216  | 2.3072          | 0.1481   |
| 2.2574        | 5.0   | 270  | 2.2921          | 0.1111   |
| 2.2345        | 6.0   | 324  | 2.2809          | 0.1481   |
| 2.2061        | 7.0   | 378  | 2.2674          | 0.2593   |
| 2.1754        | 8.0   | 432  | 2.2683          | 0.2593   |
| 2.1463        | 9.0   | 486  | 2.2374          | 0.1852   |
| 2.1           | 10.0  | 540  | 2.2400          | 0.2593   |
| 2.0551        | 11.0  | 594  | 2.2009          | 0.2963   |
| 2.0238        | 12.0  | 648  | 2.1784          | 0.2593   |
| 1.9852        | 13.0  | 702  | 2.1676          | 0.2963   |
| 1.9571        | 14.0  | 756  | 2.1834          | 0.2593   |
| 1.9168        | 15.0  | 810  | 2.1502          | 0.3333   |
| 1.8981        | 16.0  | 864  | 2.1212          | 0.3704   |
| 1.8546        | 17.0  | 918  | 2.1315          | 0.4074   |
| 1.8475        | 18.0  | 972  | 2.1182          | 0.4074   |
| 1.8346        | 19.0  | 1026 | 2.1224          | 0.4074   |
| 1.8144        | 20.0  | 1080 | 2.1182          | 0.4074   |


### Framework versions

- Transformers 4.56.2
- Pytorch 2.8.0+cu128
- Datasets 3.6.0
- Tokenizers 0.22.1