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whisper-small-id
This model is a fine-tuned version of openai/whisper-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4034
- Wer: 13.6494
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: 32
- 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: 5000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.1014 | 4.95 | 500 | 0.2583 | 13.6355 |
| 0.0058 | 9.9 | 1000 | 0.3169 | 13.2851 |
| 0.0017 | 14.85 | 1500 | 0.3488 | 13.2251 |
| 0.001 | 19.8 | 2000 | 0.3639 | 13.3542 |
| 0.0007 | 24.75 | 2500 | 0.3756 | 13.5018 |
| 0.0005 | 29.7 | 3000 | 0.3844 | 13.5617 |
| 0.0005 | 34.65 | 3500 | 0.3922 | 13.6401 |
| 0.0004 | 39.6 | 4000 | 0.3981 | 13.6032 |
| 0.0003 | 44.55 | 4500 | 0.4019 | 13.6632 |
| 0.0003 | 49.5 | 5000 | 0.4034 | 13.6494 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu117
- Datasets 2.7.1.dev0
- Tokenizers 0.13.2
