Whisper Small Sindhi - Fahad Maqsood Qazi

This model is a fine-tuned version of openai/whisper-small on the Google Fluers (many faulty recordings were removed) dataset. It achieves the following results on the evaluation set:

  • eval_loss: 0.3189
  • eval_wer: 66.6581
  • eval_runtime: 237.7306
  • eval_samples_per_second: 1.333
  • eval_steps_per_second: 0.168
  • epoch: 1.8868
  • step: 300

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-06
  • train_batch_size: 18
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • training_steps: 1000
  • mixed_precision_training: Native AMP

Framework versions

  • Transformers 4.46.1
  • Pytorch 2.5.0+cu121
  • Datasets 3.1.0
  • Tokenizers 0.20.1
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