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whisper-v2-Zeelandic
golesheed/whisper-v2-Zeelandic
whisper-v2-Zeelandic is a machine learning model from golesheed. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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
- License
- apache-2.0
- Model type
- whisper
- Access
- Public
- Created
- Aug 11, 2024
- Updated
- Aug 11, 2024
- SHA
- 21f488c2
Base models
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 Large V2
This model is a fine-tuned version of openai/whisper-large-v2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6750
- Wer: 28.0120
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: 3e-05
- train_batch_size: 12
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 20
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0702 | 0.7895 | 15 | 0.5925 | 27.5691 |
| 0.0715 | 1.5789 | 30 | 0.6284 | 36.0383 |
| 0.0686 | 2.3684 | 45 | 0.6231 | 26.2580 |
| 0.0454 | 3.1579 | 60 | 0.6415 | 25.3721 |
| 0.0225 | 3.9474 | 75 | 0.6376 | 24.6102 |
| 0.011 | 4.7368 | 90 | 0.6750 | 28.0120 |
Framework versions
- Transformers 4.44.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Type
- whisper
- License
- apache-2.0
- Languages
- nl
- Created
- Aug 11, 2024
- Updated
- Aug 11, 2024