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whisper-kn
adithyal1998Bhat/whisper-kn
whisper-kn is a automatic speech recognition model from adithyal1998Bhat. Use it when you need speech turned into text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- Model type
- whisper
- Access
- Public
- Created
- Jul 3, 2025
- Updated
- Jul 4, 2025
- SHA
- c8ab2505
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 Small kn - Saraswathi
This model is a fine-tuned version of ope100whisper-small on the kannada voices dataset. It achieves the following results on the evaluation set:
- Loss: 0.1305
- Wer: 24.4986
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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 16
- optimizer: Use adamw_torch 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: 10000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.1461 | 0.5869 | 1000 | 0.1511 | 37.9110 |
| 0.0795 | 1.1737 | 2000 | 0.1172 | 31.0520 |
| 0.0715 | 1.7613 | 3000 | 0.1090 | 28.1220 |
| 0.0508 | 2.3486 | 4000 | 0.1033 | 25.7362 |
| 0.0309 | 2.9356 | 5000 | 0.1101 | 25.1920 |
| 0.0474 | 3.5230 | 6000 | 0.1105 | 26.1537 |
| 0.0272 | 4.1098 | 7000 | 0.1169 | 25.4082 |
| 0.0255 | 4.6967 | 8000 | 0.1195 | 25.0727 |
| 0.0151 | 5.2835 | 9000 | 0.1285 | 24.7968 |
| 0.0149 | 5.8704 | 10000 | 0.1305 | 24.4986 |
Framework versions
- Transformers 4.48.0
- Pytorch 2.7.0+cu126
- Datasets 3.6.0
- Tokenizers 0.21.2
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- Languages
- kn
- Created
- Jul 3, 2025
- Updated
- Jul 4, 2025