Edit model card

Whisper Small Urdu - darth

This model is a fine-tuned version of openai/whisper-tiny on the Common Voice 13 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.8511
  • Wer Ortho: 62.5039
  • Wer: 59.5448

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: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: constant_with_warmup
  • lr_scheduler_warmup_steps: 50
  • training_steps: 500

Training results

Training Loss Epoch Step Validation Loss Wer Ortho Wer
0.673 1.08 500 0.8511 62.5039 59.5448

Framework versions

  • Transformers 4.31.0
  • Pytorch 2.0.1+cu117
  • Datasets 2.14.4
  • Tokenizers 0.13.3
Downloads last month
11

Finetuned from

Dataset used to train darthPanda/whisper-tiny-urdu

Evaluation results