populism_classifier_150

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: 0.2842
• Accuracy: 0.8737
• 1-f1: 0.6377
• 1-recall: 0.88
• 1-precision: 0.5
• Balanced Acc: 0.8764

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
0.3228	1.0	7	0.2659	0.8586	0.6216	0.92	0.4694	0.8849
0.1422	2.0	14	0.4452	0.8788	0.5862	0.68	0.5152	0.7938
0.1568	3.0	21	0.2842	0.8737	0.6377	0.88	0.5	0.8764

Framework versions

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