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ihanif/whisper_small_ps_augmented

🤗 Hugging Face sourceautomatic-speech-recognitionapache-2.028 GBother✓ 64 checksumsupdated today
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Whisper Small Pashto - Augmented

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

  • Loss: 0.6979
  • Wer: 53.6244
  • Cer: 22.6847

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: 2
  • eval_batch_size: 2
  • seed: 42
  • gradient_accumulation_steps: 16
  • total_train_batch_size: 32
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 30
  • training_steps: 300
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer Cer
0.9683 1.19 100 0.8812 139.3765 131.6166
0.6848 2.38 200 0.7543 145.9973 151.3369
0.5548 3.57 300 0.6979 53.6244 22.6847

Framework versions

  • Transformers 4.26.0.dev0
  • Pytorch 1.13.1+cu117
  • Datasets 2.8.1.dev0
  • Tokenizers 0.13.2