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whisper-ssl-embeds-5h
greenw0lf/whisper-ssl-embeds-5h
whisper-ssl-embeds-5h is a machine learning model from greenw0lf. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. 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
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Feb 20, 2026
- Updated
- Feb 20, 2026
- SHA
- 32aa5a3d
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-ssl-embeds-5h
This model is a fine-tuned version of openai/whisper-large-v2 on the JASMIN-CGN dataset. It achieves the following results on the evaluation set:
- Loss: 0.3849
- Wer: 19.4115
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: 48
- eval_batch_size: 32
- 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: 23
- num_epochs: 3.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 1.3466 | 0.2911 | 23 | 0.9769 | 35.7936 |
| 0.5737 | 0.5823 | 46 | 0.5062 | 23.4744 |
| 0.4855 | 0.8734 | 69 | 0.4380 | 21.5956 |
| 0.3697 | 1.1646 | 92 | 0.4151 | 20.0154 |
| 0.4426 | 1.4557 | 115 | 0.4030 | 18.6600 |
| 0.3947 | 1.7468 | 138 | 0.3952 | 18.9721 |
| 0.4336 | 2.0380 | 161 | 0.3906 | 19.3411 |
| 0.3908 | 2.3291 | 184 | 0.3869 | 19.0962 |
| 0.41 | 2.6203 | 207 | 0.3861 | 19.3881 |
| 0.3571 | 2.9114 | 230 | 0.3849 | 19.4115 |
Framework versions
- PEFT 0.16.0
- Transformers 4.57.3
- Pytorch 2.7.1+cu126
- Datasets 3.6.0
- Tokenizers 0.22.2
- Library
- peft
- License
- apache-2.0
- Languages
- nl
- Created
- Feb 20, 2026
- Updated
- Feb 20, 2026