Whisper Small Kr
This model is a fine-tuned version of openai/whisper-small on the Bingsu korean dataset. It achieves the following results:
Training results
| Step | Training Loss | Validation Loss | Wer |
|---|---|---|---|
| 1000 | 0.1141 | 0.145484 | 10.811625 |
| 2000 | 0.0369 | 0.106371 | 7.72474 |
| 3000 | 0.0153 | 0.095729 | 6.520102 |
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 3000
- mixed_precision_training: Native AMP
- Downloads last month
- 11
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.