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whisper-small-uz
azamat45/whisper-small-uz
whisper-small-uz is a automatic speech recognition model from azamat45. 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
- May 6, 2024
- Updated
- May 7, 2024
- SHA
- 7c993c14
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 Uz - Azamat Urinboyev
This model is a fine-tuned version of openai/whisper-small on the Common Voice 8.0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.3743
- Wer: 29.1593
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: 4000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.3146 | 1.3514 | 1000 | 0.4122 | 35.3898 |
| 0.1332 | 2.7027 | 2000 | 0.3529 | 29.7356 |
| 0.0256 | 4.0541 | 3000 | 0.3658 | 29.2881 |
| 0.0134 | 5.4054 | 4000 | 0.3743 | 29.1593 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.1.2
- Datasets 2.19.1
- Tokenizers 0.19.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- uz
- Created
- May 6, 2024
- Updated
- May 7, 2024