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whisper-medium-tr-ft-11-03-26-encoder-only
alpcansoydas/whisper-medium-tr-ft-11-03-26-encoder-only
whisper-medium-tr-ft-11-03-26-encoder-only is a automatic speech recognition model from alpcansoydas. 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 11, 2026
- Updated
- Mar 11, 2026
- SHA
- eadae414
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 for Turkish Call Centers
This model is a fine-tuned version of openai/whisper-small on the Custom turkish call center simulated data dataset. It achieves the following results on the evaluation set:
- Loss: 0.3258
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: 5e-06
- 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: 500
- training_steps: 4500
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.3204 | 0.2222 | 250 | 0.3648 |
| 0.3246 | 0.4444 | 500 | 0.3397 |
| 0.2843 | 0.6667 | 750 | 0.3328 |
| 0.2847 | 0.8889 | 1000 | 0.3265 |
| 0.2346 | 1.1111 | 1250 | 0.3241 |
| 0.2193 | 1.3333 | 1500 | 0.3215 |
| 0.2145 | 1.5556 | 1750 | 0.3203 |
| 0.2412 | 1.7778 | 2000 | 0.3193 |
| 0.2278 | 2.0 | 2250 | 0.3179 |
| 0.2325 | 2.2222 | 2500 | 0.3217 |
| 0.1822 | 2.4444 | 2750 | 0.3211 |
| 0.2270 | 2.6667 | 3000 | 0.3213 |
| 0.2031 | 2.8889 | 3250 | 0.3194 |
| 0.2223 | 3.1111 | 3500 | 0.3245 |
| 0.1518 | 3.3333 | 3750 | 0.3256 |
| 0.1819 | 3.5556 | 4000 | 0.3253 |
| 0.2096 | 3.7778 | 4250 | 0.3257 |
| 0.2320 | 4.0 | 4500 | 0.3258 |
Framework versions
- Transformers 5.3.0
- Pytorch 2.10.0+cu128
- Datasets 4.7.0
- Tokenizers 0.22.2
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- tr
- Created
- Mar 11, 2026
- Updated
- Mar 11, 2026