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whisper-medium-tr-ft-17-04-26-encoder-only-100ksamples-simulated-data
alpcansoydas/whisper-medium-tr-ft-17-04-26-encoder-only-100ksamples-simulated-data
whisper-medium-tr-ft-17-04-26-encoder-only-100ksamples-simulated-data 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
- Apr 17, 2026
- Updated
- Apr 17, 2026
- SHA
- da7f95ab
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-large-v2 on the Custom turkish call center simulated data dataset. It achieves the following results on the evaluation set:
- Loss: 0.2859
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: 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: cosine
- lr_scheduler_warmup_steps: 500
- training_steps: 3200
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.2963 | 0.0889 | 250 | 0.3260 |
| 0.3449 | 0.1777 | 500 | 0.3143 |
| 0.2853 | 0.2666 | 750 | 0.3088 |
| 0.3172 | 0.3555 | 1000 | 0.3035 |
| 0.2829 | 0.4444 | 1250 | 0.2991 |
| 0.3282 | 0.5332 | 1500 | 0.2959 |
| 0.3164 | 0.6221 | 1750 | 0.2932 |
| 0.2884 | 0.7110 | 2000 | 0.2912 |
| 0.3019 | 0.7999 | 2250 | 0.2887 |
| 0.2855 | 0.8887 | 2500 | 0.2871 |
| 0.2605 | 0.9776 | 2750 | 0.2862 |
| 0.2632 | 1.0665 | 3000 | 0.2859 |
| 0.2622 | 1.1376 | 3200 | 0.2859 |
Framework versions
- Transformers 5.5.4
- 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
- Languages
- tr
- Created
- Apr 17, 2026
- Updated
- Apr 17, 2026