---
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
  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

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: 3.1383
- Accuracy: 0.4118

## 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: 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: 40

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.3979        | 1.0   | 68   | 2.3931          | 0.1176   |
| 2.3557        | 2.0   | 136  | 2.3405          | 0.1765   |
| 2.2886        | 3.0   | 204  | 2.3076          | 0.2353   |
| 2.2136        | 4.0   | 272  | 2.2603          | 0.1471   |
| 2.1519        | 5.0   | 340  | 2.2511          | 0.2059   |
| 2.0177        | 6.0   | 408  | 2.1587          | 0.2353   |
| 1.9045        | 7.0   | 476  | 2.2249          | 0.3529   |
| 1.763         | 8.0   | 544  | 2.2783          | 0.2647   |
| 1.6427        | 9.0   | 612  | 2.0562          | 0.3824   |
| 1.5392        | 10.0  | 680  | 2.0552          | 0.3529   |
| 1.3602        | 11.0  | 748  | 1.9803          | 0.3529   |
| 1.3406        | 12.0  | 816  | 1.9426          | 0.4412   |
| 1.2032        | 13.0  | 884  | 2.0370          | 0.3529   |
| 1.0842        | 14.0  | 952  | 1.9971          | 0.5      |
| 1.0615        | 15.0  | 1020 | 1.8678          | 0.4412   |
| 0.9674        | 16.0  | 1088 | 1.8230          | 0.4706   |
| 0.808         | 17.0  | 1156 | 1.9590          | 0.4412   |
| 0.7434        | 18.0  | 1224 | 2.0104          | 0.4412   |
| 0.6936        | 19.0  | 1292 | 2.1243          | 0.4118   |
| 0.5685        | 20.0  | 1360 | 1.9530          | 0.4706   |
| 0.5631        | 21.0  | 1428 | 2.0039          | 0.4118   |
| 0.4919        | 22.0  | 1496 | 2.3431          | 0.4118   |
| 0.4903        | 23.0  | 1564 | 2.5384          | 0.4412   |
| 0.4504        | 24.0  | 1632 | 2.3131          | 0.4412   |
| 0.361         | 25.0  | 1700 | 2.6200          | 0.3824   |
| 0.3683        | 26.0  | 1768 | 2.6182          | 0.4118   |
| 0.3205        | 27.0  | 1836 | 2.5689          | 0.4412   |
| 0.2389        | 28.0  | 1904 | 2.6241          | 0.4706   |
| 0.1786        | 29.0  | 1972 | 2.7555          | 0.4412   |
| 0.1627        | 30.0  | 2040 | 2.6370          | 0.5      |
| 0.1764        | 31.0  | 2108 | 3.3250          | 0.3529   |
| 0.2364        | 32.0  | 2176 | 2.9069          | 0.4412   |
| 0.1772        | 33.0  | 2244 | 2.9289          | 0.4118   |
| 0.1929        | 34.0  | 2312 | 3.1186          | 0.4118   |
| 0.2075        | 35.0  | 2380 | 3.1905          | 0.4118   |
| 0.1517        | 36.0  | 2448 | 3.0900          | 0.4118   |
| 0.149         | 37.0  | 2516 | 3.1103          | 0.3824   |
| 0.1156        | 38.0  | 2584 | 3.1738          | 0.4412   |
| 0.2291        | 39.0  | 2652 | 3.1478          | 0.4412   |
| 0.1768        | 40.0  | 2720 | 3.1383          | 0.4118   |


### Framework versions

- Transformers 4.57.0
- Pytorch 2.8.0+cu128
- Datasets 3.6.0
- Tokenizers 0.22.1