whisper-large-kn-exp1
This model is a fine-tuned version of jiviai/audioX-south-v1 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1492
- Wer: 23.2994
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: 32
- seed: 42
- 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: 1500
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0971 | 3.0247 | 250 | 0.0782 | 23.7813 |
| 0.0279 | 7.002 | 500 | 0.0993 | 24.5412 |
| 0.009 | 10.0267 | 750 | 0.1313 | 24.9120 |
| 0.001 | 14.004 | 1000 | 0.1398 | 23.0584 |
| 0.0002 | 17.0287 | 1250 | 0.1468 | 23.3550 |
| 0.0001 | 21.006 | 1500 | 0.1492 | 23.2994 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.7.0+cu126
- Datasets 3.5.1
- Tokenizers 0.21.1
- Downloads last month
- 3
Inference Providers
NEW
This model isn't deployed by any Inference Provider.
🙋
Ask for provider support
Model tree for kavyamanohar/whisper-large-kn-exp1-ct2-fp16
Base model
jiviai/audioX-south-v1