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whisper_large_v3_turbo_noise_redux_v1 (LoRA adapter)

This model is a fine-tuned version of openai/whisper-large-v3-turbo on the ambient_noise_audio dataset.

Model description

More information needed

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 0.0002
  • train_batch_size: 2
  • eval_batch_size: 1
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 8
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 25

Framework versions

  • PEFT 0.11.1
  • Transformers 4.39.3
  • Pytorch 2.4.1+cu124
  • Datasets 2.18.0
  • Tokenizers 0.15.2
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Dataset used to train Willy030125/whisper_large_v3_turbo_noise_redux_v1

Evaluation results