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whisper-small-fine_tuned-ru

This model is a fine-tuned version of openai/whisper-small on the Mozilla common_voice_13_0 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.2290
  • Wer: 17.6336

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: 5e-07
  • 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: 250
  • training_steps: 5000

Training results

Training Loss Epoch Step Validation Loss Wer
0.0286 0.22 500 0.2225 18.0199
0.0287 0.44 1000 0.2235 18.0455
0.0334 0.66 1500 0.2243 18.1956
0.0373 0.88 2000 0.2239 17.9803
0.0261 1.1 2500 0.2268 17.7674
0.0252 1.32 3000 0.2277 17.8221
0.0265 1.54 3500 0.2290 17.6336
0.0271 1.76 4000 0.2293 17.8279
0.0252 1.97 4500 0.2293 17.8744
0.023 2.19 5000 0.2298 17.8930

Framework versions

  • Transformers 4.30.2
  • Pytorch 2.0.1+cu117
  • Datasets 2.13.1
  • Tokenizers 0.13.3
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