populism_classifier_bsample_255

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

• Loss: 1.2977
• Accuracy: 0.3844
• 1-f1: 0.2442
• 1-recall: 0.9737
• 1-precision: 0.1396
• Balanced Acc: 0.6455

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
0.7565	1.0	6	1.0364	0.6828	0.3218	0.7368	0.2059	0.7067
0.1703	2.0	12	1.5645	0.3280	0.2331	1.0	0.1319	0.6257
0.167	3.0	18	1.2977	0.3844	0.2442	0.9737	0.1396	0.6455

Framework versions

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