populism_classifier_bsample_247

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: 0.7438
• Accuracy: 0.7653
• 1-f1: 0.2545
• 1-recall: 0.75
• 1-precision: 0.1533
• Balanced Acc: 0.7581

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
0.1252	1.0	7	0.7356	0.8073	0.2628	0.6429	0.1651	0.7297
0.1638	2.0	14	0.9859	0.6794	0.2222	0.8571	0.1277	0.7632
0.1201	3.0	21	0.7438	0.7653	0.2545	0.75	0.1533	0.7581

Framework versions

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