populism_classifier_bsample_345

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: 0.9451
• Accuracy: 0.7704
• 1-f1: 0.1714
• 1-recall: 0.8182
• 1-precision: 0.0957
• Balanced Acc: 0.7936

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
0.0947	1.0	5	0.8241	0.7652	0.1682	0.8182	0.0938	0.7909
0.0532	2.0	10	1.1378	0.6992	0.1364	0.8182	0.0744	0.7569
0.0629	3.0	15	0.9451	0.7704	0.1714	0.8182	0.0957	0.7936

Framework versions

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