populism_classifier_bsample_349

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: 0.6211
• Accuracy: 0.7877
• 1-f1: 0.3390
• 1-recall: 0.9375
• 1-precision: 0.2069
• Balanced Acc: 0.8580

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
0.1312	1.0	6	0.4452	0.8439	0.3857	0.8438	0.25	0.8438
0.0344	2.0	12	0.4805	0.8385	0.3862	0.875	0.2478	0.8556
0.0506	3.0	18	0.6211	0.7877	0.3390	0.9375	0.2069	0.8580

Framework versions

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