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whisper-medium-nya

This model is a fine-tuned version of openai/whisper-medium on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.4295
  • Wer: 25.3278

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: 2.5e-05
  • train_batch_size: 4
  • eval_batch_size: 4
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 8
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • training_steps: 5000
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
0.3156 0.49 500 0.6368 63.7448
0.2256 0.99 1000 0.4869 32.0378
0.1352 1.48 1500 0.4412 28.3284
0.1204 1.97 2000 0.4019 28.6119
0.0543 2.46 2500 0.4388 24.3473
0.0645 2.96 3000 0.3973 27.7141
0.0247 3.45 3500 0.4220 25.3160
0.0185 3.94 4000 0.4241 25.3633
0.0056 4.43 4500 0.4307 25.4696
0.0053 4.93 5000 0.4295 25.3278

Framework versions

  • Transformers 4.25.1
  • Pytorch 1.13.0+cu116
  • Datasets 2.7.1
  • Tokenizers 0.13.2
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