Downloads · 30 days
9
21% of all-time downloads
whisper-tiny-patois
neddamj/whisper-tiny-patois
whisper-tiny-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. --
All-time downloads
43
Public
Parameters
37.8M
604 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors151 MB · 99%
At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- whisper
- Access
- Public
- Created
- May 23, 2025
- Updated
- May 30, 2025
- SHA
- 5a01f36f
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: 1.6927
- Wer: 0.8005
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 |
|---|---|---|---|---|
| 1.6981 | 2.6490 | 400 | 1.7500 | 1.2964 |
| 1.0133 | 5.2980 | 800 | 1.4418 | 0.9557 |
| 0.7521 | 7.9470 | 1200 | 1.3821 | 0.8719 |
| 0.5125 | 10.5960 | 1600 | 1.4081 | 0.7962 |
| 0.3403 | 13.2450 | 2000 | 1.4613 | 0.8105 |
| 0.2737 | 15.8940 | 2400 | 1.5187 | 0.7902 |
| 0.1871 | 18.5430 | 2800 | 1.5868 | 0.7868 |
| 0.146 | 21.1921 | 3200 | 1.6405 | 0.7881 |
| 0.13 | 23.8411 | 3600 | 1.6760 | 0.8007 |
| 0.1154 | 26.4901 | 4000 | 1.6927 | 0.8005 |
Framework versions
- Transformers 4.52.3
- 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
- May 23, 2025
- Updated
- May 30, 2025