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whisper-tiny-GermanMed-full
Hanhpt23/whisper-tiny-GermanMed-full
whisper-tiny-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
- 122f2d60
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-tiny
This model is a fine-tuned version of openai/whisper-tiny on the Hanhpt23/GermanMed-full dataset. It achieves the following results on the evaluation set:
- Loss: 0.9014
- Wer: 29.3839
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 |
|---|---|---|---|---|
| 0.747 | 1.0 | 194 | 0.7466 | 40.1728 |
| 0.4004 | 2.0 | 388 | 0.7261 | 37.1285 |
| 0.2012 | 3.0 | 582 | 0.7231 | 34.3721 |
| 0.1134 | 4.0 | 776 | 0.7465 | 34.0327 |
| 0.0606 | 5.0 | 970 | 0.7888 | 37.7044 |
| 0.0525 | 6.0 | 1164 | 0.8147 | 33.9813 |
| 0.0323 | 7.0 | 1358 | 0.8244 | 31.6569 |
| 0.027 | 8.0 | 1552 | 0.8383 | 31.8215 |
| 0.0149 | 9.0 | 1746 | 0.8643 | 32.1094 |
| 0.0119 | 10.0 | 1940 | 0.8747 | 31.7495 |
| 0.009 | 11.0 | 2134 | 0.8765 | 30.9781 |
| 0.0037 | 12.0 | 2328 | 0.8875 | 29.8879 |
| 0.0021 | 13.0 | 2522 | 0.8832 | 30.0936 |
| 0.0011 | 14.0 | 2716 | 0.8943 | 29.9496 |
| 0.0013 | 15.0 | 2910 | 0.8906 | 29.5485 |
| 0.0006 | 16.0 | 3104 | 0.8944 | 29.5999 |
| 0.0006 | 17.0 | 3298 | 0.8968 | 29.3942 |
| 0.0005 | 18.0 | 3492 | 0.8997 | 29.3839 |
| 0.0006 | 19.0 | 3686 | 0.9010 | 29.4251 |
| 0.0005 | 20.0 | 3880 | 0.9014 | 29.3839 |
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