Gender Classification This model is a fine tuned version of distilbert base uncased on an unknown dataset. It achieves the following results on the evaluation set: Loss: 0.0000 Accuracy: 1.0 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: 2e 05 train batch size: 16 eval batch size: 16 seed: 42 optimizer: Adam with betas=(0.9,0.999) and epsilon=1e 08 lr scheduler type: linear num epochs: 5 Training results Training Loss Epoch Step Validation Loss Accuracy : : : : : : : : : : 0.0035 1.0 4390 0.0004 1.0000 0.0005 2.0 8780 0.0002 1.0000 0.0 3.0 13170 0.0000 1.0 0.0 4.0 17560 0.0000 1.0 0.0 5.0 21950 0.0000 1.0 Framework versions Transformers 4.25.1 Pytorch 1.13.0+cu116 Datasets 2.8.0 Tokenizers 0.13.2
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