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luganda-mental-health-mixed
africanobyamugisha/luganda-mental-health-mixed
luganda-mental-health-mixed is a machine learning model from africanobyamugisha. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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
- License
- apache-2.0
- Model type
- wav2vec2
- Access
- Public
- Created
- Dec 4, 2025
- Updated
- Dec 4, 2025
- SHA
- ea98550b
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. -->
luganda-mental-health-mixed
This model is a fine-tuned version of africanobyamugisha/luganda-asr-wav2vec2-ab1 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.6641
- Wer: 0.6617
- Cer: 0.3539
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: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 300
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 1.9217 | 6.7797 | 50 | 1.7411 | 0.6647 | 0.3544 |
| 1.855 | 13.5593 | 100 | 1.6641 | 0.6617 | 0.3539 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.3.1+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Dec 4, 2025
- Updated
- Dec 4, 2025