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whisper-tiny
cvnberk/whisper-tiny
whisper-tiny is a automatic speech recognition model from cvnberk. 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 31, 2023
- Updated
- Feb 16, 2024
- SHA
- 1ff5ff58
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-Handy-Pretty - ckandemir
This model is a fine-tuned version of openai/whisper-small on the PolyAI/minds14 dataset. It achieves the following results on the evaluation set:
- Loss: 0.5197
- Wer Ortho: 31.6471
- Wer: 0.3117
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-05
- train_batch_size: 12
- eval_batch_size: 12
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine_with_restarts
- lr_scheduler_warmup_steps: 100
- training_steps: 150
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer |
|---|---|---|---|---|---|
| 0.8427 | 1.32 | 50 | 0.5401 | 35.9655 | 0.3566 |
| 0.1982 | 2.63 | 100 | 0.5179 | 35.5336 | 0.3501 |
| 0.0531 | 3.95 | 150 | 0.5197 | 31.6471 | 0.3117 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.1
- Tokenizers 0.13.3
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Created
- Jul 31, 2023
- Updated
- Feb 16, 2024