IoanaLiviaPopescu/real-data-synth-data-wavnet-B-1-h-whisper-small

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IoanaLiviaPopescu/real-data-synth-data-wavnet-B-1-h-whisper-small

This model is a fine-tuned version of openai/whisper-small on the IoanaLiviaPopescu/RealVoiceHoroscopeSynthVoiceWavnet-B1h dataset. It achieves the following results on the evaluation set:

• —Loss: 0.4133
• —Wer: 18.6981

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: 16
• —seed: 42
• —optimizer: Use OptimizerNames.ADAMWBNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: linear
• —lrschedulerwarmup_ratio: 0.1
• —num_epochs: 5
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.51.3
• —Pytorch 2.6.0+cu124
• —Datasets 3.6.0
• —Tokenizers 0.21.1