populism_classifier_bsample_094

This model is a fine-tuned version of FacebookAI/xlm-roberta-base on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.1885
• Accuracy: 0.7463
• 1-f1: 0.4138
• 1-recall: 0.96
• 1-precision: 0.2637
• Balanced Acc: 0.8421

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: 3e-05
• train_batch_size: 16
• eval_batch_size: 16
• 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: 15
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	1-f1	1-recall	1-precision	Balanced Acc
0.3505	1.0	8	0.9683	0.8097	0.4516	0.84	0.3088	0.8233
0.2061	2.0	16	1.8223	0.6493	0.3380	0.96	0.2051	0.7886
0.1014	3.0	24	1.1885	0.7463	0.4138	0.96	0.2637	0.8421

Framework versions

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