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whisper-large-lora-with-eoches

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

  • Loss: 2.1163
  • Wer Ortho: 52.2403
  • Wer: 51.8898

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: 16
  • eval_batch_size: 5
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: constant_with_warmup
  • lr_scheduler_warmup_steps: 15
  • training_steps: 50

Training results

Training Loss Epoch Step Validation Loss Wer Ortho Wer
1.5137 0.2 50 2.1163 52.2403 51.8898

Framework versions

  • PEFT 0.11.2.dev0
  • Transformers 4.42.0.dev0
  • Pytorch 2.3.0+cu121
  • Datasets 2.19.1
  • Tokenizers 0.19.1
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