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ajrayman/Liberalism_continuous

sourceHugging Facemitupdated 19d agoView on Hugging Face
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Model Card

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Liberalism_continuous

This model is a fine-tuned version of microsoft/deberta-v3-base on the None dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.0601
  • —Rmse: 0.2451
  • —Mae: 0.1945
  • —Corr: 0.3223

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: 32
  • —evalbatchsize: 32
  • —seed: 1234
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —lrschedulerwarmup_ratio: 0.06
  • —num_epochs: 8

Training results

Training LossEpochStepValidation LossRmseMaeCorr
No log1.02350.05650.23760.19170.2904
No log2.04700.05910.24320.19300.2857
0.06633.07050.05470.23400.18690.3460
0.06634.09400.06140.24790.19820.3426
0.04615.011750.06010.24510.19450.3223

Framework versions

  • —Transformers 4.44.1
  • —Pytorch 1.11.0
  • —Datasets 2.12.0
  • —Tokenizers 0.19.1