populism_classifier_bsample_257

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: 0.6820
• Accuracy: 0.7676
• 1-f1: 0.3871
• 1-recall: 0.96
• 1-precision: 0.2424
• Balanced Acc: 0.8558

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
1.537	1.0	6	0.6513	0.8502	0.4494	0.8	0.3125	0.8272
0.0266	2.0	12	1.1182	0.6514	0.3049	1.0	0.1799	0.8113
0.0594	3.0	18	0.6820	0.7676	0.3871	0.96	0.2424	0.8558

Framework versions

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