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transcriber_sv-5.0
Iremozcelik/transcriber_sv-5.0
transcriber_sv-5.0 is a machine learning model from Iremozcelik. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. 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
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Apr 13, 2026
- Updated
- Apr 14, 2026
- SHA
- 20da2426
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. -->
transcriber_sv-4.0
This model is a fine-tuned version of KBLab/kb-whisper-medium on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0051
- Wer: 0.32
- Accuracy: 97.8
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- 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: 200
- num_epochs: 15
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Accuracy |
|---|---|---|---|---|---|
| 0.2385 | 0.5587 | 100 | 0.0891 | 2.66 | 83.33 |
| 0.0307 | 1.1173 | 200 | 0.0155 | 0.83 | 93.71 |
| 0.0045 | 1.6760 | 300 | 0.0050 | 0.36 | 98.11 |
| 0.0021 | 2.2346 | 400 | 0.0039 | 0.18 | 98.43 |
| 0.0007 | 2.7933 | 500 | 0.0040 | 0.22 | 98.43 |
| 0.0004 | 3.3520 | 600 | 0.0053 | 0.36 | 97.48 |
| 0.0028 | 3.9106 | 700 | 0.0047 | 0.36 | 97.48 |
| 0.0002 | 4.4693 | 800 | 0.0042 | 0.18 | 98.43 |
| 0.0012 | 5.0279 | 900 | 0.0051 | 0.32 | 97.8 |
Framework versions
- PEFT 0.18.1
- Transformers 5.2.0
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.2
- Library
- peft
- License
- apache-2.0
- Created
- Apr 13, 2026
- Updated
- Apr 14, 2026