Downloads · 30 days
9
14% of all-time downloads
whisper-large-v3-anv-sot
sitwala/whisper-large-v3-anv-sot
whisper-large-v3-anv-sot is a automatic speech recognition model from sitwala. 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. --
All-time downloads
63
Public
Parameters
1.5B
30.9 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors6.2 GB · 100%
At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- whisper
- Access
- Public
- Created
- Oct 4, 2025
- Updated
- Oct 5, 2025
- SHA
- 47053baa
Base models
Datasets
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. -->
Whisper whisper-large-v3 sot
This model is a fine-tuned version of openai/whisper-large-v3 on the dsfsi-anv/za-african-next-voices dataset. It achieves the following results on the evaluation set:
- Loss: 0.4477
- Wer: 22.0832
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- 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: constant_with_warmup
- lr_scheduler_warmup_steps: 100
- training_steps: 1000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.9876 | 0.2 | 200 | 0.7042 | 44.9886 |
| 0.3854 | 0.4 | 400 | 0.5672 | 28.1945 |
| 0.2921 | 0.6 | 600 | 0.5097 | 24.3182 |
| 0.7161 | 0.8 | 800 | 0.4786 | 27.4673 |
| 0.5566 | 1.0 | 1000 | 0.4477 | 22.0832 |
Framework versions
- Transformers 4.52.0
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.4
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Created
- Oct 4, 2025
- Updated
- Oct 5, 2025