populism_classifier_bsample_241

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: 0.9689
• Accuracy: 0.8153
• 1-f1: 0.2045
• 1-recall: 0.8182
• 1-precision: 0.1169
• Balanced Acc: 0.8167

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
0.0241	1.0	5	0.8303	0.8100	0.2000	0.8182	0.1139	0.8140
0.0264	2.0	10	0.8591	0.8232	0.2118	0.8182	0.1216	0.8208
0.0849	3.0	15	0.9689	0.8153	0.2045	0.8182	0.1169	0.8167

Framework versions

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