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Whisper Small Synthesized Turkish

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

  • Loss: 0.2564
  • Wer: 13.7267

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: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • training_steps: 2000
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
1.276 1.04 100 0.5859 92.8836
0.436 2.08 200 0.3916 19.5285
0.218 3.12 300 0.2345 13.2453
0.0903 4.17 400 0.2332 12.9737
0.0517 5.21 500 0.2360 14.3439
0.0302 6.25 600 0.2318 14.0415
0.0223 7.29 700 0.2372 13.9674
0.0085 8.33 800 0.2421 12.4738
0.0084 9.38 900 0.2424 12.3750
0.0043 10.42 1000 0.2421 12.8935
0.0034 11.46 1100 0.2478 13.6218
0.0025 12.5 1200 0.2490 14.7327
0.002 13.54 1300 0.2513 13.0910
0.0019 14.58 1400 0.2521 13.2453
0.0013 15.62 1500 0.2532 13.2144
0.0012 16.67 1600 0.2547 13.3132
0.001 17.71 1700 0.2552 13.7514
0.001 18.75 1800 0.2559 13.7452
0.001 19.79 1900 0.2563 13.7514
0.001 20.83 2000 0.2564 13.7267

Framework versions

  • Transformers 4.28.0.dev0
  • Pytorch 2.0.0+cu118
  • Datasets 2.11.0
  • Tokenizers 0.13.3
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Evaluation results

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