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whisper-tiny-minds-v1
This model is a fine-tuned version of openai/whisper-tiny on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7887
- Wer Ortho: 0.4046
- Wer: 0.3804
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: 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: 500
- training_steps: 2000
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer |
|---|---|---|---|---|---|
| 1.7167 | 3.57 | 100 | 1.3603 | 0.5324 | 0.4132 |
| 0.3753 | 7.14 | 200 | 0.5665 | 0.4695 | 0.3894 |
| 0.1274 | 10.71 | 300 | 0.5589 | 0.4626 | 0.3912 |
| 0.0207 | 14.29 | 400 | 0.6216 | 0.4327 | 0.3834 |
| 0.0045 | 17.86 | 500 | 0.6684 | 0.4121 | 0.3697 |
| 0.0017 | 21.43 | 600 | 0.7018 | 0.4171 | 0.3792 |
| 0.0009 | 25.0 | 700 | 0.7218 | 0.4239 | 0.3876 |
| 0.0007 | 28.57 | 800 | 0.7272 | 0.4102 | 0.3781 |
| 0.0005 | 32.14 | 900 | 0.7427 | 0.4077 | 0.3787 |
| 0.0004 | 35.71 | 1000 | 0.7512 | 0.4077 | 0.3787 |
| 0.0004 | 39.29 | 1100 | 0.7573 | 0.4034 | 0.3757 |
| 0.0003 | 42.86 | 1200 | 0.7650 | 0.4027 | 0.3751 |
| 0.0003 | 46.43 | 1300 | 0.7714 | 0.4059 | 0.3769 |
| 0.0002 | 50.0 | 1400 | 0.7759 | 0.4052 | 0.3775 |
| 0.0002 | 53.57 | 1500 | 0.7796 | 0.4077 | 0.3798 |
| 0.0002 | 57.14 | 1600 | 0.7831 | 0.4046 | 0.3798 |
| 0.0002 | 60.71 | 1700 | 0.7858 | 0.4040 | 0.3792 |
| 0.0002 | 64.29 | 1800 | 0.7873 | 0.4040 | 0.3792 |
| 0.0002 | 67.86 | 1900 | 0.7883 | 0.4034 | 0.3792 |
| 0.0002 | 71.43 | 2000 | 0.7887 | 0.4046 | 0.3804 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
