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Whisper Small Persian

This model is a fine-tuned version of makhataei/Whisper-Small-Common-Voice on the Common Voice 17.0 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.7217
  • Wer: 45.6220

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-07
  • train_batch_size: 10
  • eval_batch_size: 10
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 40
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 50
  • training_steps: 1000

Training results

Training Loss Epoch Step Validation Loss Wer
0.0013 0.15 100 0.7201 45.7700
0.0015 0.31 200 0.7220 45.7908
0.0019 0.46 300 0.7212 45.6382
0.0021 0.61 400 0.7229 45.7630
0.0025 0.77 500 0.7226 45.5943
0.0068 0.92 600 0.7229 46.1213
0.0293 1.07 700 0.7215 45.7075
0.0021 1.23 800 0.7215 45.6290
0.0025 1.38 900 0.7217 45.6151
0.0023 1.53 1000 0.7217 45.6220

Framework versions

  • Transformers 4.35.2
  • Pytorch 2.0.1+cu117
  • Datasets 2.15.0
  • Tokenizers 0.15.0
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Finetuned from

Dataset used to train makhataei/Whisper-Small-Common-Voice