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whisper-tiny-en
sugafree/whisper-tiny-en
whisper-tiny-en is a automatic speech recognition model from sugafree. 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
- Feb 17, 2024
- Updated
- Feb 17, 2024
- SHA
- 850fc313
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 EN - Tamas Szilagyi
This model is a fine-tuned version of openai/whisper-tiny on the PolyAI minds14 dataset. It achieves the following results on the evaluation set:
- Loss: 0.5354
- Wer Ortho: 0.3603
- Wer: 0.3512
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: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant_with_warmup
- lr_scheduler_warmup_steps: 50
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer |
|---|---|---|---|---|---|
| No log | 0.54 | 15 | 0.5404 | 0.3646 | 0.3512 |
| 0.2486 | 1.07 | 30 | 0.5320 | 0.3664 | 0.3554 |
| 0.2486 | 1.61 | 45 | 0.5354 | 0.3603 | 0.3512 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.2.0
- Datasets 2.17.0
- Tokenizers 0.15.2
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- en
- Created
- Feb 17, 2024
- Updated
- Feb 17, 2024