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: 0.4546
- Wer: 13.7562
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 |
|---|---|---|---|---|
| 0.7616 | 0.55 | 30 | 0.4375 | 24.4768 |
| 0.3849 | 1.09 | 60 | 0.4161 | 15.6734 |
| 0.2127 | 1.64 | 90 | 0.3971 | 16.5841 |
| 0.1689 | 2.18 | 120 | 0.4066 | 15.6415 |
| 0.0923 | 2.73 | 150 | 0.4113 | 14.6509 |
| 0.0685 | 3.27 | 180 | 0.4229 | 13.4367 |
| 0.0415 | 3.82 | 210 | 0.4213 | 14.2355 |
| 0.0224 | 4.36 | 240 | 0.4511 | 13.6923 |
| 0.0155 | 4.91 | 270 | 0.4546 | 13.7562 |
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-4-dutch
Base model
openai/whisper-large-v2