populism_classifier_bsample_249

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: 0.8434
• Accuracy: 0.8295
• 1-f1: 0.4463
• 1-recall: 0.7941
• 1-precision: 0.3103
• Balanced Acc: 0.8135

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
0.0307	1.0	6	0.7857	0.8092	0.4186	0.7941	0.2842	0.8024
0.106	2.0	12	1.0127	0.7405	0.3544	0.8235	0.2258	0.7781
0.0987	3.0	18	0.8434	0.8295	0.4463	0.7941	0.3103	0.8135

Framework versions

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