YanJiangJerry/baseline_xlnet-base-cased_epoch2_batch2_lr2e-05_w0.01

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

baselinexlnet-base-casedepoch2batch2lr2e-05_w0.01

This model is a fine-tuned version of xlnet-base-cased on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 0.5189
• —Accuracy: 0.8854
• —F1: 0.8442
• —Precision: 0.8558
• —Recall: 0.8328

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
• —trainbatchsize: 2
• —evalbatchsize: 2
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 2

Training results

Framework versions

• —Transformers 4.31.0
• —Pytorch 2.0.1+cu118
• —Datasets 2.14.2
• —Tokenizers 0.13.3