PThi35/whisper_large_v3_phase4_2

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whisperlargev3phase42

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 0.7026
• —Cer: 16.6966
• —Wer: 28.1219

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: 5e-06
• —trainbatchsize: 8
• —evalbatchsize: 8
• —seed: 42
• —gradientaccumulationsteps: 2
• —totaltrainbatch_size: 16
• —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 1000
• —num_epochs: 5
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.55.4
• —Pytorch 2.8.0+cu126
• —Datasets 4.1.1
• —Tokenizers 0.21.4