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whisper-small-atc
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3749
- Wer: 18.7892
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: 3200
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.1809 | 1.42 | 1000 | 0.3831 | 24.2040 |
| 0.0976 | 2.83 | 2000 | 0.3497 | 19.3049 |
| 0.0165 | 4.25 | 3000 | 0.3749 | 18.7892 |
Framework versions
- Transformers 4.31.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.12.1.dev0
- Tokenizers 0.13.3
