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whisper-ecapa-caps-20h
greenw0lf/whisper-ecapa-caps-20h
whisper-ecapa-caps-20h 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
- Apr 24, 2026
- Updated
- Apr 24, 2026
- SHA
- 0b1a584b
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-ecapa-caps-20h
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: 0.3254
- Wer: 15.5937
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 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: 95
- num_epochs: 3.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.4895 | 0.2978 | 95 | 0.4338 | 21.7935 |
| 0.4647 | 0.5956 | 190 | 0.3713 | 17.6066 |
| 0.4092 | 0.8934 | 285 | 0.3529 | 16.3854 |
| 0.43 | 1.1912 | 380 | 0.3461 | 16.8417 |
| 0.3641 | 1.4890 | 475 | 0.3381 | 15.7949 |
| 0.2685 | 1.7868 | 570 | 0.3321 | 15.3588 |
| 0.2357 | 2.0846 | 665 | 0.3290 | 16.7545 |
| 0.242 | 2.3824 | 760 | 0.3284 | 15.7681 |
| 0.415 | 2.6803 | 855 | 0.3259 | 15.6406 |
| 0.3297 | 2.9781 | 950 | 0.3254 | 15.5937 |
Framework versions
- PEFT 0.17.1
- Transformers 4.57.6
- Pytorch 2.8.0+cu128
- Datasets 4.5.0
- Tokenizers 0.22.2
- Library
- peft
- License
- apache-2.0
- Languages
- nl
- Created
- Apr 24, 2026
- Updated
- Apr 24, 2026