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wav2vec2-large-xlsr-sw-ASR
jkhyjkhy/wav2vec2-large-xlsr-sw-ASR
wav2vec2-large-xlsr-sw-ASR is a automatic speech recognition model from jkhyjkhy. Use it when you need speech turned into text. 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
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- wav2vec2
- Access
- Public
- Created
- Jul 3, 2025
- Updated
- Jul 7, 2025
- SHA
- 66185144
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. -->
wav2vec2-large-xlsr-sw-ASR
This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the Swahili dataset from common voice. It achieves the following results on the evaluation set:
- Loss: 0.1446
- Wer: 0.2453
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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| No log | 0.0740 | 1000 | 0.8588 | 0.7661 |
| No log | 0.1480 | 2000 | 0.3139 | 0.4159 |
| 1.9537 | 0.2220 | 3000 | 0.2514 | 0.3524 |
| 1.9537 | 0.2960 | 4000 | 0.2217 | 0.3292 |
| 1.9537 | 0.3700 | 5000 | 0.1986 | 0.3029 |
| 0.3639 | 0.4440 | 6000 | 0.1847 | 0.2903 |
| 0.3639 | 0.5181 | 7000 | 0.1754 | 0.2747 |
| 0.3639 | 0.5921 | 8000 | 0.1657 | 0.2689 |
| 0.3039 | 0.6661 | 9000 | 0.1587 | 0.2598 |
| 0.3039 | 0.7401 | 10000 | 0.1565 | 0.2560 |
| 0.3039 | 0.8141 | 11000 | 0.1529 | 0.2518 |
| 0.2688 | 0.8881 | 12000 | 0.1478 | 0.2476 |
| 0.2688 | 0.9621 | 13000 | 0.1446 | 0.2453 |
Framework versions
- Transformers 4.53.0
- Pytorch 2.6.0+cu124
- Datasets 2.14.4
- Tokenizers 0.21.2
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Jul 3, 2025
- Updated
- Jul 7, 2025