This model is a fine-tuned version of openai/whisper-large-v3 on the None dataset. It achieves the following results on the evaluation set: The following hyperparameters were used during training: - learningrate: 1e-05 - trainbatchsize: 256 - evalbatchsize: 32 - distributedtype: multi-GPU - numdevices: 2 - totaltrainbatchsize: 512 - totalevalbatchsize: 64 - lrschedulertype: linear - lrschedulerwarmupsteps: 500 - trainingsteps: 5000 - mixedprecisiontraining: Native AMP - Transformers 4.38.0 - Pytorch 2.1.1+cu121 - Datasets 2.8.0 - Tokenizers 0.15.2
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Andoni Sudupe
Ansu
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