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whisper-small-da-cv11
jstoone/whisper-small-da-cv11
whisper-small-da-cv11 is a automatic speech recognition model from jstoone. 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 16, 2022
- Updated
- Jul 31, 2023
- SHA
- df31ab33
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 da - Common Voice+FLEURS
This model is a fine-tuned version of openai/whisper-small on the Common Voice 11.0, FLEURS dataset. It achieves the following results on the evaluation set:
- Loss: 0.9242
- Wer: 138.8532
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-07
- train_batch_size: 64
- eval_batch_size: 32
- 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 |
|---|---|---|---|---|
| 1.22 | 15.0 | 1000 | 1.2238 | 197.5434 |
| 1.004 | 30.0 | 2000 | 1.0386 | 197.9221 |
| 0.9104 | 45.01 | 3000 | 0.9704 | 156.6544 |
| 0.8455 | 60.01 | 4000 | 0.9352 | 142.3619 |
| 0.8237 | 75.01 | 5000 | 0.9242 | 138.8532 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.1+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 16, 2022
- Updated
- Jul 31, 2023