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whisper-small-patois
neddamj/whisper-small-patois
whisper-small-patois is a automatic speech recognition model from neddamj. 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
- Jul 8, 2024
- Updated
- May 20, 2025
- SHA
- 674a0953
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 Tiny - Patois
This model is a fine-tuned version of openai/whisper-tiny on the Patois Music Transcription dataset. It achieves the following results on the evaluation set:
- Loss: 1.2488
- Wer: 120.2643
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: 16
- 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: 500
- training_steps: 4000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 1.6086 | 1.9531 | 500 | 1.6058 | 158.7301 |
| 1.0993 | 3.9062 | 1000 | 1.3238 | 144.8173 |
| 0.8516 | 5.8594 | 1500 | 1.2432 | 137.7567 |
| 0.6354 | 7.8125 | 2000 | 1.2213 | 128.9479 |
| 0.522 | 9.7656 | 2500 | 1.2157 | 124.1094 |
| 0.4583 | 11.7188 | 3000 | 1.2275 | 120.0064 |
| 0.3882 | 13.6719 | 3500 | 1.2437 | 118.9618 |
| 0.367 | 15.625 | 4000 | 1.2488 | 120.2643 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- en
- Created
- Jul 8, 2024
- Updated
- May 20, 2025