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whisper-tiny-finetuned

This model is a fine-tuned version of openai/whisper-tiny on the common_voice_16_1 dataset. It achieves the following results on the evaluation set:

  • eval_loss: 2.1805
  • eval_wer: 163.6364
  • eval_runtime: 8.1444
  • eval_samples_per_second: 0.491
  • eval_steps_per_second: 0.123
  • epoch: 49.02
  • step: 50

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: 0.001
  • train_batch_size: 32
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • training_steps: 50
  • mixed_precision_training: Native AMP

Framework versions

  • PEFT 0.10.0
  • Transformers 4.39.2
  • Pytorch 2.2.2+cu121
  • Datasets 2.17.0
  • Tokenizers 0.15.2
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