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whisper-small-nob
NbAiLab/whisper-small-nob
whisper-small-nob is a automatic speech recognition model from NbAiLab. Use it when you need speech turned into text. It is set up for transformers. The card lists the license as apache-2.0.
This model is a fine-tuned version of openai/whisper-small trained on several datasets.
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At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- whisper
- Access
- Public
- Created
- Dec 15, 2022
- Updated
- Apr 23, 2025
- SHA
- cf8da982
Model card
From the Hugging Face model README
Whisper Small Norwegian Bokmål
This model is a fine-tuned version of openai/whisper-small trained on several datasets.
It is currently in the middle of a large training. Currently it achieves the following results on the evaluation set:
- Loss: 0.3230
- Wer: 15.56
Model description
The model is trained on a large corpus of roughly 5.000 hours of voice. The sources are subtitles from the Norwegian broadcaster NRK, transcribed speeches from the Norwegian parliament and voice recordings from Norsk Språkteknologi.
Intended uses & limitations
The model will be free for everyone to use when it is finished.
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 3e-06
- train_batch_size: 128
- gradient_accumulation_steps: 2
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant with warmup
- lr_scheduler_warmup_steps: 1000
- training_steps: 50.000 (currently @1.000)
- mixed_precision_training: fp16
- deepspeed: true
Live Training results
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- no
- Created
- Dec 15, 2022
- Updated
- Apr 23, 2025