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: 0.4000
- Wer: 10.8918
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 |
|---|---|---|---|---|
| 0.2263 | 0.49 | 30 | 0.3524 | 16.2639 |
| 0.2192 | 0.98 | 60 | 0.3412 | 16.1689 |
| 0.104 | 1.48 | 90 | 0.3537 | 12.4644 |
| 0.0967 | 1.97 | 120 | 0.3511 | 11.5567 |
| 0.0467 | 2.46 | 150 | 0.3665 | 13.7098 |
| 0.0409 | 2.95 | 180 | 0.3717 | 11.5884 |
| 0.0213 | 3.44 | 210 | 0.3875 | 11.2718 |
| 0.0156 | 3.93 | 240 | 0.3891 | 11.6834 |
| 0.0097 | 4.43 | 270 | 0.3946 | 10.7018 |
| 0.0064 | 4.92 | 300 | 0.4000 | 10.8918 |
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-native-elderly-1-dutch
Base model
openai/whisper-large-v2