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whisper-20hrs-random
greenw0lf/whisper-20hrs-random
whisper-20hrs-random 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 1, 2025
- Updated
- Sep 1, 2025
- SHA
- 5e620751
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-20hrs-random
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: 0.4303
- Wer: 22.4947
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: 49
- num_epochs: 3.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 1.0263 | 0.1543 | 25 | 1.2168 | 38.0448 |
| 1.0661 | 0.3086 | 50 | 1.1739 | 37.5583 |
| 0.9871 | 0.4630 | 75 | 1.1019 | 36.3337 |
| 0.8873 | 0.6173 | 100 | 1.0211 | 35.1126 |
| 0.8572 | 0.7716 | 125 | 0.9299 | 34.6831 |
| 0.7706 | 0.9259 | 150 | 0.8373 | 32.4219 |
| 0.7349 | 1.0802 | 175 | 0.7395 | 31.9455 |
| 0.6256 | 1.2346 | 200 | 0.6531 | 31.5127 |
| 0.5956 | 1.3889 | 225 | 0.5880 | 28.6141 |
| 0.5474 | 1.5432 | 250 | 0.5423 | 26.7555 |
| 0.5441 | 1.6975 | 275 | 0.5079 | 25.7490 |
| 0.5065 | 1.8519 | 300 | 0.4803 | 23.9541 |
| 0.5186 | 2.0062 | 325 | 0.4605 | 22.4477 |
| 0.4526 | 2.1605 | 350 | 0.4491 | 22.9241 |
| 0.4636 | 2.3148 | 375 | 0.4415 | 22.7229 |
| 0.4768 | 2.4691 | 400 | 0.4364 | 22.6692 |
| 0.4721 | 2.6235 | 425 | 0.4332 | 22.5081 |
| 0.4729 | 2.7778 | 450 | 0.4312 | 22.5115 |
| 0.4786 | 2.9321 | 475 | 0.4303 | 22.4947 |
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 1, 2025
- Updated
- Sep 1, 2025