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whisper-tiny-rf
Alnine9/whisper-tiny-rf
whisper-tiny-rf is a automatic speech recognition model from Alnine9. 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
- Mar 5, 2024
- Updated
- Mar 6, 2024
- SHA
- f6b5cd82
Base models
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 french - RF
This model is a fine-tuned version of openai/whisper-tiny on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7760
- Wer: 49.2308
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: 10
- training_steps: 50
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 3.4424 | 5.0 | 10 | 3.5394 | 57.6923 |
| 1.7535 | 10.0 | 20 | 1.9843 | 54.6154 |
| 0.7841 | 15.0 | 30 | 1.2915 | 45.3846 |
| 0.2479 | 20.0 | 40 | 0.9029 | 48.4615 |
| 0.1579 | 25.0 | 50 | 0.7760 | 49.2308 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- fr
- Created
- Mar 5, 2024
- Updated
- Mar 6, 2024