Whisper large V3 to Kaggle Albanian
This model is a fine-tuned version of openai/whisper-large-v3 on the rishabhjain16/kaggle_albanian default dataset. It achieves the following results on the evaluation set:
- Loss: 0.3189
- Wer: 23.8109
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: 16
- 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: 5000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.2778 | 0.1 | 500 | 0.4945 | 36.9839 |
| 0.4343 | 0.2 | 1000 | 0.4290 | 35.1835 |
| 0.3523 | 0.3 | 1500 | 0.3780 | 30.6514 |
| 0.3833 | 0.4 | 2000 | 0.3436 | 28.0318 |
| 0.2029 | 1.09 | 2500 | 0.3360 | 26.5128 |
| 0.1797 | 1.19 | 3000 | 0.3351 | 25.8927 |
| 0.1687 | 1.29 | 3500 | 0.3249 | 25.8628 |
| 0.1603 | 1.39 | 4000 | 0.3089 | 23.9877 |
| 0.0762 | 2.08 | 4500 | 0.3345 | 24.5804 |
| 0.0676 | 2.18 | 5000 | 0.3189 | 23.8109 |
Framework versions
- Transformers 4.37.2
- Pytorch 1.14.0a0+44dac51
- Datasets 2.17.1
- Tokenizers 0.15.2
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Base model
openai/whisper-large-v3Evaluation results
- Wer on rishabhjain16/kaggle_albanian defaultself-reported23.811