wav2vec2 large xlsr 53 gender recognition librispeech This model is a fine tuned version of facebook/wav2vec2 xls r 300m on Librispeech clean 100 for gender recognition. It achieves the following results on the evaluation set: Loss: 0.0061 F1: 0.9993 Compute your inferences Training and evaluation data The Librispeech clean 100 dataset was used to train the model, with 70% of the data used for training, 10% for validation, and 20% for testing. Training hyperparameters The following hyperparameters were used during training: learning rate: 3e 05 train batch size: 4 eval batch size: 4 seed: 42 gradient accumulation steps: 4 total train batch size: 16 optimizer: Adam with betas=(0.9,0.999) and epsilon=1e 08 lr scheduler type: linear lr scheduler warmup ratio: 0.1 num epochs: 1 mixed precision training: Native AMP Training results Training Loss Epoch Step Validation Loss F1 : : : : : : : : : : 0.002 1.0 1248 0.0061 0.9993 Framework versions Transformers 4.28.0 Pytorch 2.0.0+cu118 Tokenizers 0.13.3
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