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muk-luganda-digits-classification-clean
dmusingu/muk-luganda-digits-classification-clean
muk-luganda-digits-classification-clean is a audio classification model from dmusingu. Use it for the audio classification task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Audio Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- wav2vec2
- Access
- Public
- Created
- Oct 7, 2025
- Updated
- Oct 7, 2025
- SHA
- 023d08ae
Base models
Model card
From the Hugging Face model README
<!-- 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 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
- Task
- Audio Classification
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Oct 7, 2025
- Updated
- Oct 7, 2025