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ajrayman/narcissism_binary

sourceHugging Facemitupdated 19d agoView on Hugging Face
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Model Card

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narcissism_binary

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: 0.9656
  • Accuracy: 0.7034
  • Precision: 0.8052
  • Recall: 0.5375
  • F1: 0.6447
  • Auc: 0.7577

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 LossAccuracyPrecisionRecallF1Auc
No log1.01170.60100.66210.89160.370.52300.7373
No log2.02340.56630.69840.78700.5450.64400.7643
No log3.03510.62750.70960.79790.56250.65980.7694
No log4.04680.84680.69840.85650.47750.61320.7551
0.46235.05850.96560.70340.80520.53750.64470.7577

Framework versions

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