populism_classifier_bsample_243

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: 0.9323
• Accuracy: 0.7996
• 1-f1: 0.3194
• 1-recall: 0.8519
• 1-precision: 0.1966
• Balanced Acc: 0.8242

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
1.1805	1.0	7	0.8153	0.8712	0.3368	0.5926	0.2353	0.7400
0.0463	2.0	14	1.1002	0.7280	0.2652	0.8889	0.1558	0.8038
0.1327	3.0	21	0.9323	0.7996	0.3194	0.8519	0.1966	0.8242

Framework versions

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