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whisper-rap-queb-v3
ras0k/whisper-rap-queb-v3
whisper-rap-queb-v3 is a automatic speech recognition model from ras0k. 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
- whisper
- Access
- Public
- Created
- Feb 28, 2026
- Updated
- Mar 5, 2026
- SHA
- 5eb8a433
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 Quebec Rap - ras0k
This model is a fine-tuned version of openai/whisper-large-v3 on the Genius-Quebec-Rap-Top-150 dataset. It achieves the following results on the evaluation set:
- Loss: 0.6369
- Wer: 36.2272
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
Github: https://github.com/ras0k/whisper-rap-queb
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-06
- train_batch_size: 32
- eval_batch_size: 8
- 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_steps: 100
- training_steps: 1600
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| No log | 0 | 0 | 0.8603 | 56.3136 |
| 0.5418 | 12.5 | 200 | 0.6867 | 39.9158 |
| 0.4054 | 25.0 | 400 | 0.6274 | 37.6759 |
| 0.3577 | 37.5 | 600 | 0.6287 | 36.8129 |
| 0.3385 | 50.0 | 800 | 0.6329 | 36.5252 |
| 0.3178 | 62.5 | 1000 | 0.6364 | 36.8643 |
| 0.3191 | 75.0 | 1200 | 0.6371 | 36.3814 |
| 0.3210 | 87.5 | 1400 | 0.6369 | 36.2273 |
| 0.3197 | 100.0 | 1600 | 0.6370 | 36.5869 |
Framework versions
- Transformers 5.2.0
- Pytorch 2.10.0+cu128
- Datasets 4.6.1
- Tokenizers 0.22.2
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- fr
- Created
- Feb 28, 2026
- Updated
- Mar 5, 2026