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whisper-medium-tr
egemenakdeniz/whisper-medium-tr
whisper-medium-tr is a automatic speech recognition model from egemenakdeniz. 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
- Nov 1, 2025
- Updated
- Nov 1, 2025
- SHA
- c8f73c91
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 medium tr -
This model is a fine-tuned version of openai/whisper-medium on the commonvoice_17_tr_fixed dataset. It achieves the following results on the evaluation set:
- Loss: 0.1808
- Wer: 16.0497
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: 4
- 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: 500
- training_steps: 5000
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.2742 | 0.1509 | 1000 | 0.2717 | 22.4456 |
| 0.195 | 0.3018 | 2000 | 0.2356 | 19.7325 |
| 0.1529 | 0.4528 | 3000 | 0.2173 | 18.3296 |
| 0.1535 | 0.6037 | 4000 | 0.1933 | 16.9751 |
| 0.1671 | 0.7546 | 5000 | 0.1808 | 16.0497 |
Framework versions
- Transformers 4.57.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- tr
- Created
- Nov 1, 2025
- Updated
- Nov 1, 2025