whisper medium luganda This model is a fine tuned version of openai/whisper medium on the None dataset. Training hyperparameters The following hyperparameters were used during training: learning rate: 1e 05 train batch size: 4 eval batch size: 4 seed: 42 optimizer: Adam with betas=(0.9,0.999) and epsilon=1e 08 lr scheduler type: linear lr scheduler warmup ratio: 0.05 training steps: 11000 mixed precision training: Native AMP Framework versions Transformers 4.38.2 Pytorch 2.1.0+cu121 Datasets 2.18.0 Tokenizers 0.15.2
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