populism_classifier_bsample_301

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

• Loss: 0.9901
• Accuracy: 0.6209
• 1-f1: 0.3005
• 1-recall: 0.9412
• 1-precision: 0.1788
• Balanced Acc: 0.7659

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
0.0876	1.0	6	0.6127	0.7735	0.3862	0.8235	0.2523	0.7962
0.1291	2.0	12	0.6917	0.7099	0.3448	0.8824	0.2143	0.7880
0.0985	3.0	18	0.9901	0.6209	0.3005	0.9412	0.1788	0.7659

Framework versions

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