whisper-dpv-finetuned-WITH-AUGMENTATION-LOWER-LR
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: 0.5717
- Wer: 34.5241
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-06
- 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 |
|---|---|---|---|---|
| 0.6221 | 0.62 | 1000 | 0.5345 | 35.9711 |
| 0.4318 | 1.25 | 2000 | 0.5271 | 34.9537 |
| 0.3859 | 1.87 | 3000 | 0.5338 | 34.3658 |
| 0.3005 | 2.49 | 4000 | 0.5532 | 34.8858 |
| 0.2444 | 3.12 | 5000 | 0.5628 | 33.7102 |
| 0.315 | 3.74 | 6000 | 0.5717 | 34.5241 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.12.1
- Datasets 2.7.1
- Tokenizers 0.13.2
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