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whisper-small-ru-v4
sam-alavardo-1980/whisper-small-ru-v4
whisper-small-ru-v4 is a automatic speech recognition model from sam-alavardo-1980. 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 15, 2024
- Updated
- Jul 16, 2024
- SHA
- 528e7ace
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 Ru - v4
This model is a fine-tuned version of openai/whisper-small on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.2167
- Wer Ortho: 16.3879
- Wer: 11.9935
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: 32
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- training_steps: 5000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer |
|---|---|---|---|---|---|
| 0.1695 | 0.4921 | 500 | 0.2079 | 17.6749 | 13.3434 |
| 0.1548 | 0.9843 | 1000 | 0.1894 | 16.4416 | 12.2240 |
| 0.0704 | 1.4764 | 1500 | 0.1878 | 16.1107 | 12.0106 |
| 0.0722 | 1.9685 | 2000 | 0.1854 | 15.7395 | 11.7887 |
| 0.0328 | 2.4606 | 2500 | 0.1927 | 15.7822 | 11.6404 |
| 0.0344 | 2.9528 | 3000 | 0.1929 | 15.5746 | 11.6060 |
| 0.0147 | 3.4449 | 3500 | 0.2059 | 15.6992 | 11.5141 |
| 0.0148 | 3.9370 | 4000 | 0.2046 | 15.7859 | 11.5962 |
| 0.0067 | 4.4291 | 4500 | 0.2169 | 16.0374 | 11.6784 |
| 0.0078 | 4.9213 | 5000 | 0.2167 | 16.3879 | 11.9935 |
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
- Languages
- ru
- Created
- Jul 15, 2024
- Updated
- Jul 16, 2024