Svetlana0303/Regression_xlnet_aug_MSEloss

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Regressionxlnetaug_MSEloss

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: 0.4900
• —Mse: 0.4900
• —Mae: 0.5762
• —R2: -0.0876
• —Accuracy: 0.4533

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: 1e-12
• —trainbatchsize: 4
• —evalbatchsize: 4
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 3

Training results

Framework versions

• —Transformers 4.28.1
• —Pytorch 2.0.0+cu118
• —Datasets 2.12.0
• —Tokenizers 0.13.3