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whisper-large-tr
yunus-emre/whisper-large-tr
whisper-large-tr is a automatic speech recognition model from yunus-emre. 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 28, 2026
- Updated
- Mar 28, 2026
- SHA
- 4b4015c6
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-large-tr
This model is a fine-tuned version of openai/whisper-large-v3 on the arrow dataset. It achieves the following results on the evaluation set:
- Loss: 0.2053
- Wer: 12.6174
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: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- training_steps: 2000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0116 | 2.7933 | 500 | 0.1709 | 13.0201 |
| 0.0007 | 5.5866 | 1000 | 0.1830 | 13.4228 |
| 0.0001 | 8.3799 | 1500 | 0.1998 | 12.6174 |
| 0.0003 | 11.1732 | 2000 | 0.2053 | 12.6174 |
Framework versions
- Transformers 5.4.0
- Pytorch 2.10.0+cu128
- Datasets 4.8.4
- Tokenizers 0.22.2
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Created
- Mar 28, 2026
- Updated
- Mar 28, 2026