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whisper-small-singlish_augmented_again_1200steps
This model is a fine-tuned version of yy1412/whisper-small-singlish_augmented on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0075
- Wer: 0.4993
This model is trained on properly augmented dataset
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- training_steps: 1200
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0204 | 0.75 | 300 | 0.0116 | 0.5917 |
| 0.0047 | 1.5 | 600 | 0.0081 | 0.3513 |
| 0.001 | 2.25 | 900 | 0.0073 | 0.3698 |
| 0.0007 | 3.0 | 1200 | 0.0075 | 0.4993 |
Framework versions
- Transformers 4.29.2
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
