xlnet-base-cased-finetuned-qqp

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
• lr_scheduler_type: linear
• num_epochs: 3

Framework versions

• Transformers 4.12.3
• Pytorch 1.10.0+cu111
• Datasets 1.15.1
• Tokenizers 0.10.3