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: 0.5036
- Wer: 16.6019
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 |
|---|---|---|---|---|
| 0.7555 | 0.55 | 30 | 0.5180 | 28.4626 |
| 0.3756 | 1.09 | 60 | 0.4488 | 36.3749 |
| 0.2159 | 1.64 | 90 | 0.4497 | 19.5399 |
| 0.1656 | 2.18 | 120 | 0.4641 | 17.7056 |
| 0.1021 | 2.73 | 150 | 0.4502 | 17.1926 |
| 0.0774 | 3.27 | 180 | 0.4692 | 17.0527 |
| 0.0478 | 3.82 | 210 | 0.4712 | 18.7315 |
| 0.0264 | 4.36 | 240 | 0.4956 | 17.5657 |
| 0.016 | 4.91 | 270 | 0.5036 | 16.6019 |
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-1-dutch
Base model
openai/whisper-large-v2