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whisper-40hrs-classifier
greenw0lf/whisper-40hrs-classifier
whisper-40hrs-classifier 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
- Sep 17, 2025
- Updated
- Sep 17, 2025
- SHA
- b15cf048
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-40hrs-classifier
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: 0.3795
- Wer: 19.7571
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: 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: 106
- num_epochs: 3.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 1.9643 | 0.1416 | 50 | 1.2066 | 37.9676 |
| 1.9513 | 0.2833 | 100 | 1.1128 | 37.2228 |
| 1.8194 | 0.4249 | 150 | 0.9154 | 36.0486 |
| 1.7286 | 0.5666 | 200 | 0.6881 | 34.2369 |
| 1.5144 | 0.7082 | 250 | 0.5460 | 29.6038 |
| 1.4289 | 0.8499 | 300 | 0.4679 | 23.3871 |
| 1.3439 | 0.9915 | 350 | 0.4419 | 19.7370 |
| 1.4136 | 1.1331 | 400 | 0.4268 | 20.6462 |
| 1.357 | 1.2748 | 450 | 0.4156 | 19.9919 |
| 1.3042 | 1.4164 | 500 | 0.4064 | 19.3075 |
| 1.2603 | 1.5581 | 550 | 0.3997 | 18.7104 |
| 1.2128 | 1.6997 | 600 | 0.3964 | 18.6433 |
| 1.3441 | 1.8414 | 650 | 0.3957 | 20.0289 |
| 1.3065 | 1.9830 | 700 | 0.3894 | 19.0861 |
| 1.2867 | 2.1246 | 750 | 0.3886 | 19.7739 |
| 1.2856 | 2.2663 | 800 | 0.3867 | 20.4583 |
| 1.2355 | 2.4079 | 850 | 0.3823 | 19.2673 |
| 1.2697 | 2.5496 | 900 | 0.3808 | 19.4585 |
| 1.2894 | 2.6912 | 950 | 0.3816 | 20.3543 |
| 1.2832 | 2.8329 | 1000 | 0.3806 | 19.7638 |
| 1.2718 | 2.9745 | 1050 | 0.3795 | 19.7571 |
Framework versions
- PEFT 0.16.0
- Transformers 4.52.0
- Pytorch 2.7.1+cu126
- Datasets 3.6.0
- Tokenizers 0.21.2
- Library
- peft
- License
- apache-2.0
- Languages
- nl
- Created
- Sep 17, 2025
- Updated
- Sep 17, 2025