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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
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