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whisper-base-GermanMed-full
Hanhpt23/whisper-base-GermanMed-full
whisper-base-GermanMed-full is a automatic speech recognition model from Hanhpt23. Use it when you need speech turned into text. It is set up for transformers. 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
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- whisper
- Access
- Public
- Created
- Jun 13, 2024
- Updated
- Jun 13, 2024
- SHA
- ef475caa
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. -->
openai/whisper-base
This model is a fine-tuned version of openai/whisper-base on the Hanhpt23/GermanMed-full dataset. It achieves the following results on the evaluation set:
- Loss: 0.7401
- Wer: 24.4575
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: 8
- 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: 100
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.6052 | 1.0 | 194 | 0.5948 | 34.0636 |
| 0.2976 | 2.0 | 388 | 0.5938 | 29.7336 |
| 0.1442 | 3.0 | 582 | 0.6085 | 34.0327 |
| 0.0783 | 4.0 | 776 | 0.6296 | 26.1339 |
| 0.055 | 5.0 | 970 | 0.6500 | 27.4812 |
| 0.0359 | 6.0 | 1164 | 0.6595 | 28.2012 |
| 0.0263 | 7.0 | 1358 | 0.7021 | 27.1418 |
| 0.0218 | 8.0 | 1552 | 0.7004 | 28.2217 |
| 0.0151 | 9.0 | 1746 | 0.7171 | 28.5303 |
| 0.0136 | 10.0 | 1940 | 0.7387 | 25.8665 |
| 0.0108 | 11.0 | 2134 | 0.7312 | 25.5580 |
| 0.0042 | 12.0 | 2328 | 0.7272 | 26.3910 |
| 0.0017 | 13.0 | 2522 | 0.7298 | 25.3625 |
| 0.0028 | 14.0 | 2716 | 0.7286 | 24.6015 |
| 0.0004 | 15.0 | 2910 | 0.7271 | 24.7557 |
| 0.0004 | 16.0 | 3104 | 0.7362 | 24.6940 |
| 0.0004 | 17.0 | 3298 | 0.7358 | 24.3855 |
| 0.0005 | 18.0 | 3492 | 0.7383 | 24.2723 |
| 0.0003 | 19.0 | 3686 | 0.7397 | 24.4369 |
| 0.0003 | 20.0 | 3880 | 0.7401 | 24.4575 |
Framework versions
- Transformers 4.41.1
- Pytorch 2.3.0
- Datasets 2.19.1
- Tokenizers 0.19.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- de
- Created
- Jun 13, 2024
- Updated
- Jun 13, 2024