populism_classifier_bsample_390

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

• Loss: 0.9701
• Accuracy: 0.7368
• 1-f1: 0.2781
• 1-recall: 0.9630
• 1-precision: 0.1625
• Balanced Acc: 0.8436

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
0.0743	1.0	8	0.6286	0.7602	0.2971	0.9630	0.1757	0.8560
0.0103	2.0	16	0.9028	0.7076	0.2574	0.9630	0.1486	0.8282
0.0043	3.0	24	0.9701	0.7368	0.2781	0.9630	0.1625	0.8436

Framework versions

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