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samil24/whisper-medium-azerbaijani-v1

sourceHugging Faceapache-2.0updated 1y agoView on Hugging Face
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whisper-medium-azerbaijani-v1

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: 0.0521
  • —Wer: 6.3303

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
  • —trainbatchsize: 16
  • —evalbatchsize: 8
  • —seed: 42
  • —optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • —lrschedulertype: linear
  • —lrschedulerwarmup_steps: 1500
  • —num_epochs: 12
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossWer
0.04082.103815000.079710.5163
0.00974.207630000.05278.2184
0.00196.311445000.04947.3314
0.0018.415160000.05076.1806
0.000210.518975000.05216.3303

Framework versions

  • —Transformers 4.57.0
  • —Pytorch 2.10.0.dev20251007+cu128
  • —Datasets 3.6.0
  • —Tokenizers 0.22.1