Whisper Small Sl - slovenian test
This model is a fine-tuned version of openai/whisper-small on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.5034
- Wer: 28.2967
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: 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: 4000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0127 | 6.0606 | 1000 | 0.4281 | 29.7538 |
| 0.0006 | 12.1212 | 2000 | 0.4691 | 28.1364 |
| 0.0004 | 18.1818 | 3000 | 0.4942 | 28.1655 |
| 0.0003 | 24.2424 | 4000 | 0.5034 | 28.2967 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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Base model
openai/whisper-small