This model is a fine-tuned version of bert-base-uncased on the None dataset. It achieves the following results on the evaluation set: The following hyperparameters were used during training: - learningrate: 2e-05 - trainbatchsize: 16 - evalbatchsize: 32 - lrschedulertype: linear - lrschedulerwarmupsteps: 100 - numepochs: 5 - Transformers 5.17.0 - Pytorch 2.14.0+cu130 - Datasets 3.6.0 - Tokenizers 0.23.2