populism_classifier_bsample_137

This model is a fine-tuned version of AnonymousCS/populism_multilingual_bert_cased_v2 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.4058
• Accuracy: 0.8575
• 1-f1: 0.2500
• 1-recall: 0.8182
• 1-precision: 0.1475
• Balanced Acc: 0.8384

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
0.1249	1.0	5	0.3318	0.9156	0.3333	0.7273	0.2162	0.8242
0.1884	2.0	10	0.7120	0.7810	0.2095	1.0	0.1170	0.8872
0.0903	3.0	15	0.4058	0.8575	0.2500	0.8182	0.1475	0.8384

Framework versions

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