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whisper-medium-da
BlueRaccoon/whisper-medium-da
whisper-medium-da is a automatic speech recognition model from BlueRaccoon. 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
- Dec 14, 2022
- Updated
- Dec 16, 2022
- SHA
- 7755c0bc
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 Medium Danish
This model is a fine-tuned version of openai/whisper-medium on the mozilla-foundation/common_voice_11_0 da dataset. It achieves the following results on the evaluation set:
- Loss: 0.5759
- Wer: 15.3656
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: 5e-06
- train_batch_size: 32
- eval_batch_size: 16
- 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: 5000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.016 | 7.58 | 1000 | 0.4492 | 15.7391 |
| 0.0014 | 15.15 | 2000 | 0.5306 | 15.4550 |
| 0.0004 | 22.73 | 3000 | 0.5759 | 15.3656 |
| 0.0003 | 30.3 | 4000 | 0.5981 | 15.4655 |
| 0.0002 | 37.88 | 5000 | 0.6072 | 15.5076 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu117
- Datasets 2.7.1.dev0
- Tokenizers 0.13.2
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- da
- Created
- Dec 14, 2022
- Updated
- Dec 16, 2022