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AnonymousCS/populism_model241

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face
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populism_model241

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

  • —Loss: 0.4104
  • —Accuracy: 0.8736
  • —1-f1: 0.3909
  • —1-recall: 0.6829
  • —1-precision: 0.2738
  • —Balanced Acc: 0.7843

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: 64
  • —evalbatchsize: 64
  • —seed: 42
  • —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
  • —lrschedulertype: linear
  • —num_epochs: 3
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossAccuracy1-f11-recall1-precisionBalanced Acc
0.45231.01730.40610.83090.34130.73780.22200.7873
0.39862.03460.39670.83920.35090.73170.23080.7889
0.31863.05190.41040.87360.39090.68290.27380.7843

Framework versions

  • —Transformers 4.49.0.dev0
  • —Pytorch 2.5.1+cu121
  • —Datasets 3.2.0
  • —Tokenizers 0.21.0