metadata

language:
  - ur
license: apache-2.0
tags:
  - automatic-speech-recognition
  - hf-asr-leaderboard
  - urdu
  - ur
  - whisper-event
  - generated_from_trainer
datasets:
  - mozilla-foundation/common_voice_11_0
metrics:
  - wer
model-index:
  - name: Whisper Medium Urdu
    results:
      - task:
          name: Automatic Speech Recognition
          type: automatic-speech-recognition
        dataset:
          name: mozilla-foundation/common_voice_11_0
          type: mozilla-foundation/common_voice_11_0
          args: 'config: ur, split: test'
        metrics:
          - name: Wer
            type: wer
            value: 26.980130911344357

Whisper Medium Urdu

This model is a fine-tuned version of openai/whisper-medium on the mozilla-foundation/common_voice_11_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
train_batch_size: 32
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 40
training_steps: 300
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.3908	0.48	100	0.5148	30.7061
0.3519	0.97	200	0.4685	26.9801
0.2426	1.45	300	0.4636	28.5023

Framework versions

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

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