ihanif/whisper-medium-urdu

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

Whisper Medium Urdu

This model is a fine-tuned version of openai/whisper-medium on the mozilla-foundation/commonvoice11_0 ur dataset. It achieves the following results on the evaluation set:

• —Loss: 0.4685
• —Wer: 26.9801

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: 32
• —evalbatchsize: 16
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 40
• —training_steps: 300
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.26.0.dev0
• —Pytorch 1.13.0+cu117
• —Datasets 2.7.1.dev0
• —Tokenizers 0.13.2

@article{hanif2023whisper,
  title={Whisper Medium Urdu Model},
  author={Hanif, Rahman},
  howpublished={\url{https://huggingface.co/ihanif/whisper-medium-urdu}},
  year={2023}
}