CoolFace
Modelpublic

Xiugapurin/xlnet-base

sourceHugging Faceapache-2.0updated 3y agoView on Hugging Face
0likes32downloads
Model Card

<!-- 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. -->

xlnet-base

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

  • —Loss: 5.7194

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: 5e-05
  • —trainbatchsize: 8
  • —evalbatchsize: 8
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: cosine
  • —lrschedulerwarmup_steps: 500
  • —num_epochs: 2
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation Loss
8.11160.115006.8678
6.85070.2210006.7533
6.73940.3415006.7035
6.65340.4520006.6033
6.54510.5625006.4870
6.43140.6730006.3461
6.27830.7835006.2090
6.16810.940006.0913
6.07571.0145005.9937
5.97351.1250005.9321
5.90251.2355005.8552
5.84241.3460005.8166
5.8041.4565005.7849
5.75351.5770005.7420
5.76741.6875005.7311
5.76131.7980005.7269
5.73221.985005.7194

Framework versions

  • —Transformers 4.36.2
  • —Pytorch 2.1.0+cu121
  • —Datasets 2.16.0
  • —Tokenizers 0.15.0