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whisper-dpv-finetuned-WITH-AUGMENTATION-LOWER-LR-WEIGHT-DECAY
This model is a fine-tuned version of openai/whisper-medium on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.8435
- Wer: 35.0215
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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.5839 | 0.62 | 1000 | 0.5726 | 37.4633 |
| 0.2068 | 1.25 | 2000 | 0.5799 | 36.4911 |
| 0.1451 | 1.87 | 3000 | 0.6284 | 36.0389 |
| 0.0606 | 2.49 | 4000 | 0.7208 | 36.4006 |
| 0.0081 | 3.12 | 5000 | 0.8024 | 34.9537 |
| 0.0131 | 3.74 | 6000 | 0.8435 | 35.0215 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.12.1
- Datasets 2.7.1
- Tokenizers 0.13.2
