AnonymousCS/populism_classifier_bsample_399

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populismclassifierbsample_399

This model is a fine-tuned version of google/rembert on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 0.6883
• —Accuracy: 0.8548
• —1-f1: 0.4228
• —1-recall: 0.9630
• —1-precision: 0.2708
• —Balanced Acc: 0.9057

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-05
• —trainbatchsize: 32
• —evalbatchsize: 32
• —seed: 42
• —optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: linear
• —num_epochs: 20
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.46.3
• —Pytorch 2.4.1+cu121
• —Datasets 3.1.0
• —Tokenizers 0.20.3