openai/whisper medium This model is a fine tuned version of openai/whisper medium on the common voice 11 0 dataset. It achieves the following results on the evaluation set: Loss: 0.3029 Wer: 9.0355 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 train batch size: 32 eval batch size: 16 seed: 42 optimizer: Adam with betas=(0.9,0.999) and epsilon=1e 08 lr scheduler type: linear lr scheduler warmup steps: 500 training steps: 5000 mixed precision training: Native AMP Training results Training Loss Epoch Step Validation Loss Wer : : : : : : : : : : 0.0392 3.03 1000 0.2023 10.1807 0.0036 7.01 2000 0.2478 9.4409 0.0013 10.04 3000 0.2791 9.1014 0.0002 14.01 4000 0.2970 9.0625 0.0002 17.04 5000 0.3029 9.0355 Framework versions Transformers 4.26.0.dev0 Pytorch 1.13.0+cu117 Datasets 2.7.1.dev0 Tokenizers 0.13.2
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