populism_classifier_bsample_179

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: 0.7519
• Accuracy: 0.7615
• 1-f1: 0.3906
• 1-recall: 1.0
• 1-precision: 0.2427
• Balanced Acc: 0.8709

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
0.0873	1.0	6	0.7139	0.7431	0.3731	1.0	0.2294	0.8609
0.1897	2.0	12	0.8471	0.7309	0.3623	1.0	0.2212	0.8543
0.0591	3.0	18	0.7519	0.7615	0.3906	1.0	0.2427	0.8709

Framework versions

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