whisper-tiny-hi2
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3163
- Wer: 41.5276
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: 32
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 2000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 1.0738 | 2.0 | 500 | 0.4355 | 53.2052 |
| 0.3349 | 4.0 | 1000 | 0.3382 | 44.7117 |
| 0.242 | 6.0 | 1500 | 0.3177 | 42.8741 |
| 0.2009 | 8.0 | 2000 | 0.3163 | 41.5276 |
Framework versions
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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