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ahishamm/finetuned-whisper-quranic-large-v3-revised

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face
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Model Card

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QURANIC Whisper Large V3 - revised

This model is a fine-tuned version of openai/whisper-large-v3 on the Commonvoice16_1 dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.2252
  • —Wer: 163.3859

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: 4
  • —evalbatchsize: 4
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —lrschedulerwarmup_steps: 500
  • —training_steps: 20000
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossWer
0.30950.2120000.3293155.0801
0.24120.4140000.3059287.9687
0.17620.6260000.2843152.7845
0.19060.8280000.2645124.8897
0.09521.03100000.2535129.0233
0.09551.24120000.2567141.4259
0.08651.44140000.2360205.5690
0.13631.65160000.2288187.0938
0.10381.86180000.2197178.2311
0.0622.06200000.2252163.3859

Framework versions

  • —Transformers 4.39.2
  • —Pytorch 2.2.0
  • —Datasets 2.18.0
  • —Tokenizers 0.15.1