populism_classifier_bsample_346

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

• Loss: 0.6351
• Accuracy: 0.7612
• 1-f1: 0.32
• 1-recall: 1.0
• 1-precision: 0.1905
• Balanced Acc: 0.8735

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
0.0458	1.0	6	0.5631	0.7584	0.3175	1.0	0.1887	0.8720
0.0328	2.0	12	0.7828	0.6994	0.2721	1.0	0.1575	0.8408
0.0623	3.0	18	0.6351	0.7612	0.32	1.0	0.1905	0.8735

Framework versions

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