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Dansk-wav2vec21
Privoid-ai/Dansk-wav2vec21
Dansk-wav2vec21 is a automatic speech recognition model from Privoid-ai. 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
- wav2vec2
- Access
- Public
- Created
- May 7, 2022
- Updated
- May 7, 2022
- SHA
- 5dad47bf
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. -->
Dansk-wav2vec21
This model is a fine-tuned version of Siyam/SKYLy on the common_voice dataset. It achieves the following results on the evaluation set:
- Loss: 0.8025
- Wer: 0.4057
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: 0.0003
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0563 | 4.26 | 400 | 0.7887 | 0.4560 |
| 0.0756 | 8.51 | 800 | 0.7519 | 0.4444 |
| 0.0497 | 12.77 | 1200 | 0.7979 | 0.4256 |
| 0.0335 | 17.02 | 1600 | 0.8025 | 0.4057 |
Framework versions
- Transformers 4.11.3
- Pytorch 1.10.0+cu113
- Datasets 2.1.0
- Tokenizers 0.10.3
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- May 7, 2022
- Updated
- May 7, 2022