Whisper Large V2
This model is a fine-tuned version of openai/whisper-large-v2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4621
- Wer: 17.7714
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: 3e-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: 20
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.7903 | 0.55 | 30 | 0.4799 | 21.8700 |
| 0.3838 | 1.09 | 60 | 0.4107 | 18.9081 |
| 0.2236 | 1.64 | 90 | 0.4067 | 28.0179 |
| 0.1796 | 2.18 | 120 | 0.4097 | 21.1335 |
| 0.1006 | 2.73 | 150 | 0.4123 | 17.6593 |
| 0.0671 | 3.27 | 180 | 0.4287 | 18.7960 |
| 0.04 | 3.82 | 210 | 0.4426 | 18.5239 |
| 0.0242 | 4.36 | 240 | 0.4586 | 18.0275 |
| 0.017 | 4.91 | 270 | 0.4621 | 17.7714 |
Framework versions
- Transformers 4.38.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.14.6
- Tokenizers 0.15.0
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Model tree for golesheed/whisper-non-native-adult-0-dutch
Base model
openai/whisper-large-v2