mnli This model is a fine tuned version of google/mobilebert uncased on the GLUE MNLI dataset. It achieves the following results on the evaluation set: Loss: 0.4595 Accuracy: 0.8230 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: 3e 05 train batch size: 48 eval batch size: 8 seed: 42 optimizer: Adam with betas=(0.9,0.999) and epsilon=1e 08 lr scheduler type: linear num epochs: 1.3 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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