mrpc This model is a fine tuned version of google/mobilebert uncased on the GLUE MRPC dataset. It achieves the following results on the evaluation set: Loss: 0.3672 Accuracy: 0.8382 F1: 0.8889 Combined Score: 0.8636 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: 32 eval batch size: 8 seed: 42 optimizer: Adam with betas=(0.9,0.999) and epsilon=1e 08 lr scheduler type: linear num epochs: 4.0 Training results Framework versions Transformers 4.20.0.dev0 Pytorch 1.11.0 Datasets 2.2.2 Tokenizers 0.12.1
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