This model is a fine-tuned version of xlnet-base-cased on the qqp dataset (part of glue dataset).
It achieves the following results on the evaluation set:
eval_loss: 0.27
eval_accuracy: 0.9084
eval_f1: 0.8775
epoch: 3
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
weight_decay: 0.01
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
