CoolFace
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Xiugapurin/xlnet-mid

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

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xlnet-mid

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

  • —Loss: 4.7725

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: 1
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation Loss
5.6230.085005.6406
5.4560.1610005.5080
5.22870.2315005.3861
4.99290.3120005.3493
5.34150.3925005.1613
5.21630.4730005.0551
5.10690.5535004.9676
5.03650.6240004.9118
4.96740.745004.8411
4.92590.7850004.7963
4.88750.8655004.7777
4.90030.9460004.7725

Framework versions

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