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whisper-dpv-finetuned-WITH-AUGMENTATION-AUGMENTED-ALL

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: 0.6523
  • Wer: 35.1345

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: 50
  • num_epochs: 4
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
0.3432 1.25 1000 0.5472 37.2824
0.138 2.49 2000 0.5765 37.0563
0.0569 3.74 3000 0.6523 35.1345

Framework versions

  • Transformers 4.26.0.dev0
  • Pytorch 1.12.1
  • Datasets 2.7.1
  • Tokenizers 0.13.2
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