whisper-small-hi2
This model is a fine-tuned version of RecCode/whisper-small-hi on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2368
- Wer: 913.6858
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: 0.0001
- train_batch_size: 8
- 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: 500
- training_steps: 4000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.1035 | 4.0 | 1000 | 0.2595 | 562.6750 |
| 0.0256 | 8.0 | 2000 | 0.2227 | 220.2177 |
| 0.0015 | 12.0 | 3000 | 0.2375 | 295.8009 |
| 0.0001 | 16.0 | 4000 | 0.2368 | 913.6858 |
Framework versions
- Transformers 4.38.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
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