npallewela/whisper-large-v2-ap2

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Whisper large v2 ap3 - Nuwan 6000

This model is a fine-tuned version of openai/whisper-large-v2 on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 0.5498
• —Wer Ortho: 25.3509
• —Wer: 24.8048

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-06
• —trainbatchsize: 16
• —evalbatchsize: 16
• —seed: 42
• —optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• —lrschedulertype: constantwithwarmup
• —training_steps: 2000
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.57.2
• —Pytorch 2.9.0+cu126
• —Datasets 3.6.0
• —Tokenizers 0.22.1