populism_classifier_bsample_361

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: 1.3591
• Accuracy: 0.6208
• 1-f1: 0.2874
• 1-recall: 1.0
• 1-precision: 0.1678
• Balanced Acc: 0.7947

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
• train_batch_size: 32
• eval_batch_size: 32
• seed: 42
• optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 20
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	1-f1	1-recall	1-precision	Balanced Acc
0.0826	1.0	6	0.7949	0.7890	0.3784	0.84	0.2442	0.8124
0.1935	2.0	12	0.8588	0.7951	0.3495	0.72	0.2308	0.7607
0.0139	3.0	18	1.3591	0.6208	0.2874	1.0	0.1678	0.7947

Framework versions

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