metadata

license: mit
tags:
  - generated_from_trainer
datasets:
  - glue
model-index:
  - name: xlnet-base-cased-finetuned-qqp
    results: []

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: 0.9087
eval_f1: 0.899
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