populism_classifier_bsample_126

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

• Loss: 0.7273
• Accuracy: 0.5553
• 1-f1: 0.1422
• 1-recall: 0.9375
• 1-precision: 0.0769
• Balanced Acc: 0.7386

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
0.7182	1.0	8	0.5015	0.9607	0.0	0.0	0.0	0.5
0.6734	2.0	16	0.7234	0.4791	0.1240	0.9375	0.0664	0.6989
0.5855	3.0	24	0.7273	0.5553	0.1422	0.9375	0.0769	0.7386

Framework versions

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