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DeeeTeeee01/mytest_trainer_base-cased

sourceHugging Facemitupdated 3y agoView on Hugging Face
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mytesttrainerbase-cased

This model is a fine-tuned version of xlnet-base-cased on an unknown dataset. It achieves the following results on the evaluation set:

  • —Loss: 1.6637
  • —Rmse: 0.7007

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: 16
  • —evalbatchsize: 8
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 10

Training results

Training LossEpochStepValidation LossRmse
0.74041.05000.66730.6971
0.63772.010000.69140.7639
0.51873.015000.70060.7085
0.39654.020000.81310.6812
0.28475.025000.96360.6667
0.22696.030001.27050.6971
0.17947.035001.27020.6815
0.14198.040001.41090.6667
0.10919.045001.60090.6859
0.084410.050001.66370.7007

Framework versions

  • —Transformers 4.31.0
  • —Pytorch 2.0.1+cu118
  • —Datasets 2.13.1
  • —Tokenizers 0.13.3