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whisper-small-sber-v4
Zhandos38/whisper-small-sber-v4
whisper-small-sber-v4 is a automatic speech recognition model from Zhandos38. 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 4, 2024
- Updated
- Feb 5, 2024
- SHA
- 64716ad5
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-sber-v4
This model is a fine-tuned version of openai/whisper-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3522
- Wer: 22.1427
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: 0.0001
- 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: 500
- training_steps: 4000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.1636 | 1.33 | 1000 | 0.4798 | 31.6750 |
| 0.0691 | 2.67 | 2000 | 0.4455 | 30.3746 |
| 0.0212 | 4.0 | 3000 | 0.3982 | 26.7478 |
| 0.0014 | 5.33 | 4000 | 0.3522 | 22.1427 |
Framework versions
- Transformers 4.36.2
- Pytorch 1.14.0a0+44dac51
- Datasets 2.16.1
- Tokenizers 0.15.0
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Created
- Feb 4, 2024
- Updated
- Feb 5, 2024