alpcansoydas/whisper-large-v2-tr-ft-03-04-26-full-ft-50ksamples-simulated-data

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Whisper for Turkish Call Centers

This model is a fine-tuned version of openai/whisper-large-v2 on the Custom turkish call center simulated data dataset. It achieves the following results on the evaluation set:

• —Loss: 0.2338

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: 8
• —seed: 42
• —optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 500
• —training_steps: 2200
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 5.5.0
• —Pytorch 2.10.0+cu128
• —Datasets 4.8.4
• —Tokenizers 0.22.2