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whisper-tiny-no-fo-5k_steps
davidilag/whisper-tiny-no-fo-5k_steps
whisper-tiny-no-fo-5k_steps is a automatic speech recognition model from davidilag. 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
- Jul 9, 2024
- Updated
- Jul 9, 2024
- SHA
- d9859d0e
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-tiny-no-fo-5k_steps
This model is a fine-tuned version of NbAiLab/nb-whisper-tiny on the ravnursson_asr dataset. It achieves the following results on the evaluation set:
- Loss: 0.5429
- Wer: 39.1635
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: 5000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 1.0737 | 0.2320 | 1000 | 1.0306 | 58.6169 |
| 0.7129 | 0.4640 | 2000 | 0.7040 | 46.5522 |
| 0.6255 | 0.6961 | 3000 | 0.6029 | 42.4300 |
| 0.6188 | 0.9281 | 4000 | 0.5573 | 39.8430 |
| 0.5141 | 1.1601 | 5000 | 0.5429 | 39.1635 |
Framework versions
- Transformers 4.42.3
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Created
- Jul 9, 2024
- Updated
- Jul 9, 2024