populism_classifier_172

This model is a fine-tuned version of AnonymousCS/populism_multilingual_bert_uncased_v2 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.3169
• Accuracy: 0.9245
• 1-f1: 0.6429
• 1-recall: 0.8182
• 1-precision: 0.5294
• Balanced Acc: 0.8762

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: 128
• eval_batch_size: 128
• 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
0.2245	1.0	9	0.2818	0.8566	0.5366	1.0	0.3667	0.9218
0.1057	2.0	18	0.2993	0.9283	0.6545	0.8182	0.5455	0.8782
0.1095	3.0	27	0.3169	0.9245	0.6429	0.8182	0.5294	0.8762

Framework versions

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