Whisper medium 12

This model is a fine-tuned version of openai/whisper-medium on the mozilla-foundation/common_voice_11_0 dataset. It achieves the following results on the evaluation set:

  • Loss: 1.3270
  • Cer: 42.0122

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: 0.0001
  • train_batch_size: 32
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 100
  • training_steps: 8000

Training results

Training Loss Epoch Step Validation Loss Cer
0.8931 1.52 1000 1.0926 48.9439
0.3041 3.03 2000 1.1069 49.5474
0.1319 4.55 3000 1.1925 45.4016
0.0324 6.06 4000 1.2592 44.3186
0.0245 7.58 5000 1.3014 44.2359
0.0061 9.09 6000 1.3185 43.3472
0.0031 10.61 7000 1.3266 42.2767
0.0007 12.12 8000 1.3270 42.0122

Framework versions

  • Transformers 4.32.0.dev0
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.4
  • Tokenizers 0.13.3
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