Whisper Small Ka - tsobolev
This model is a fine-tuned version of openai/whisper-small on the CV14 dataset. It achieves the following results on the test set:
- Loss: 0.0542
- Wer Ortho: 0.2785
- Wer: 0.2470
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
Training - Mozilla Common Voice 14 train split Validation - Mozilla Common Voice 14 test split
Training procedure
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: 50
- training_steps: 5000
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer |
|---|---|---|---|---|---|
| 0.0123 | 2.76 | 5000 | 0.0542 | 0.2785 | 0.2470 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.0
- Datasets 2.14.4
- Tokenizers 0.13.3
- Downloads last month
- 4
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.
Model tree for tsobolev/whisper-small-ka
Base model
openai/whisper-small