Bruno7/whisper-large-v3-turbo-arabic-saudi-phase2

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whisper-large-v3-turbo-arabic-saudi-phase2

This model is a fine-tuned version of openai/whisper-large-v3-turbo on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 0.3257
• —Wer: 141.1640

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: 0.0001
• —trainbatchsize: 32
• —evalbatchsize: 2
• —seed: 42
• —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: linear
• —lrschedulerwarmup_ratio: 0.1
• —num_epochs: 1.0
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —PEFT 0.15.2
• —Transformers 4.52.4
• —Pytorch 2.7.0+cu126
• —Datasets 3.6.0
• —Tokenizers 0.21.1