osman31/whisper-tiny-urdu-v1

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whisper-tiny-urdu-v2

This model is a fine-tuned version of openai/whisper-tiny on the Mozilla Common Voice dataset v22 for Urdu. It achieves the following results on the evaluation set:

• —Loss: 0.7495
• —Wer: 51.2522

This fine-tuning resulted in bringing down the Word Error Rate (WER) from 125% to 51%!

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: 8
• —evalbatchsize: 4
• —seed: 42
• —gradientaccumulationsteps: 2
• —totaltrainbatch_size: 16
• —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 250
• —training_steps: 3000

Training results

Framework versions

• —Transformers 4.49.0
• —Pytorch 2.5.1+cu124
• —Datasets 3.4.0
• —Tokenizers 0.21.0