abdullah090809/whisper-medium-ur-v2-resumed

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Whisper Medium Ur - Your Name

This model is a fine-tuned version of openai/whisper-medium on the Common Voice 19.0 dataset. It achieves the following results on the evaluation set:

• —eval_loss: 0.3571
• —eval_wer: 25.1658
• —eval_runtime: 4297.3715
• —evalsamplesper_second: 1.167
• —evalstepsper_second: 0.146
• —epoch: 1.3108
• —step: 1000

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: 3e-06
• —trainbatchsize: 8
• —evalbatchsize: 8
• —seed: 42
• —gradientaccumulationsteps: 2
• —totaltrainbatch_size: 16
• —optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 100
• —training_steps: 1000
• —mixedprecisiontraining: Native AMP

Framework versions

• —Transformers 4.49.0
• —Pytorch 2.5.1+cu121
• —Datasets 3.4.1
• —Tokenizers 0.21.0