populism_classifier_bsample_325

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

• Loss: 1.0897
• Accuracy: 0.6889
• 1-f1: 0.2347
• 1-recall: 0.8929
• 1-precision: 0.1351
• Balanced Acc: 0.7851

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
0.0886	1.0	7	0.7460	0.8282	0.2969	0.6786	0.19	0.7576
0.1062	2.0	14	1.0679	0.8817	0.2619	0.3929	0.1964	0.6511
0.0456	3.0	21	1.0897	0.6889	0.2347	0.8929	0.1351	0.7851

Framework versions

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