Downloads · 30 days
7
26% of all-time downloads
whisper-small-de
rmacek/whisper-small-de
whisper-small-de is a automatic speech recognition model from rmacek. 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. --
All-time downloads
27
Public
Parameters
242M
10.6 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors967 MB · 100%
At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- whisper
- Access
- Public
- Created
- Apr 17, 2024
- Updated
- Apr 17, 2024
- SHA
- 7eeda6c4
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 Small ZIB2
This model is a fine-tuned version of openai/whisper-small on the ZIB2 Common Voice dataset. It achieves the following results on the evaluation set:
- Loss: 0.3366
- Wer: 28.9384
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: 16
- 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: 500
- training_steps: 1000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.2391 | 10.0 | 100 | 0.2837 | 33.5616 |
| 0.0035 | 20.0 | 200 | 0.2701 | 27.7397 |
| 0.0012 | 30.0 | 300 | 0.2847 | 27.5685 |
| 0.0006 | 40.0 | 400 | 0.2990 | 27.9110 |
| 0.0004 | 50.0 | 500 | 0.3118 | 28.5959 |
| 0.0003 | 60.0 | 600 | 0.3221 | 28.5959 |
| 0.0002 | 70.0 | 700 | 0.3287 | 28.7671 |
| 0.0002 | 80.0 | 800 | 0.3333 | 28.9384 |
| 0.0002 | 90.0 | 900 | 0.3357 | 28.9384 |
| 0.0002 | 100.0 | 1000 | 0.3366 | 28.9384 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- de
- Created
- Apr 17, 2024
- Updated
- Apr 17, 2024