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whisper-small-GermanMed-full
Hanhpt23/whisper-small-GermanMed-full
whisper-small-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
- efc8adef
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-small
This model is a fine-tuned version of openai/whisper-small on the Hanhpt23/GermanMed-full dataset. It achieves the following results on the evaluation set:
- Loss: 0.6437
- Wer: 21.9994
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 |
|---|---|---|---|---|
| 0.5314 | 1.0 | 194 | 0.5553 | 45.6238 |
| 0.2492 | 2.0 | 388 | 0.5421 | 25.9694 |
| 0.1477 | 3.0 | 582 | 0.5588 | 33.7962 |
| 0.0954 | 4.0 | 776 | 0.5956 | 27.4915 |
| 0.0734 | 5.0 | 970 | 0.5882 | 24.2312 |
| 0.0494 | 6.0 | 1164 | 0.6253 | 25.1774 |
| 0.0334 | 7.0 | 1358 | 0.6412 | 26.2676 |
| 0.026 | 8.0 | 1552 | 0.6175 | 23.3158 |
| 0.0149 | 9.0 | 1746 | 0.6484 | 22.3696 |
| 0.0101 | 10.0 | 1940 | 0.6391 | 23.1102 |
| 0.0083 | 11.0 | 2134 | 0.6371 | 22.2668 |
| 0.0078 | 12.0 | 2328 | 0.6486 | 22.2154 |
| 0.002 | 13.0 | 2522 | 0.6499 | 22.4725 |
| 0.0004 | 14.0 | 2716 | 0.6438 | 22.4313 |
| 0.0019 | 15.0 | 2910 | 0.6381 | 22.0508 |
| 0.0011 | 16.0 | 3104 | 0.6343 | 22.0817 |
| 0.0002 | 17.0 | 3298 | 0.6412 | 21.6806 |
| 0.0001 | 18.0 | 3492 | 0.6428 | 21.9274 |
| 0.0001 | 19.0 | 3686 | 0.6435 | 22.0200 |
| 0.0002 | 20.0 | 3880 | 0.6437 | 21.9994 |
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