Whisper large V2 to CV Albanian
This model is a fine-tuned version of openai/whisper-large-v2 on the rishabhjain16/owr_cv_albanian default dataset. It achieves the following results on the evaluation set:
- Loss: 0.7918
- Wer: 34.6232
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 |
|---|---|---|---|---|
| 0.0515 | 9.0 | 500 | 0.6733 | 42.4847 |
| 0.0101 | 18.01 | 1000 | 0.6810 | 37.5967 |
| 0.0074 | 27.01 | 1500 | 0.7185 | 38.0855 |
| 0.0009 | 37.0 | 2000 | 0.6987 | 35.5193 |
| 0.0002 | 46.0 | 2500 | 0.7393 | 35.0305 |
| 0.0001 | 55.01 | 3000 | 0.7603 | 35.0305 |
| 0.0001 | 64.01 | 3500 | 0.7739 | 34.8676 |
| 0.0001 | 74.0 | 4000 | 0.7832 | 34.8269 |
| 0.0001 | 83.0 | 4500 | 0.7895 | 34.9084 |
| 0.0001 | 92.01 | 5000 | 0.7918 | 34.6232 |
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-v2Evaluation results
- Wer on rishabhjain16/owr_cv_albanian defaultself-reported34.623