whisper-large-v2-english-2
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: 0.2692
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.1903 | 0.5219 | 1000 | 0.2513 |
| 0.1694 | 1.0438 | 2000 | 0.2489 |
| 0.1207 | 1.5658 | 3000 | 0.2515 |
| 0.1034 | 2.0877 | 4000 | 0.2671 |
| 0.0729 | 2.6096 | 5000 | 0.2692 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.4.0+cu121
- Datasets 2.18.0
- Tokenizers 0.20.1
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Model tree for tgrhn/whisper-large-v2-english-2
Base model
openai/whisper-large-v2