populism_classifier_bsample_359

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: 1.3365
• Accuracy: 0.4220
• 1-f1: 0.2561
• 1-recall: 0.9737
• 1-precision: 0.1474
• Balanced Acc: 0.6665

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
0.9077	1.0	6	1.2949	0.5376	0.2893	0.9211	0.1716	0.7075
0.1539	2.0	12	1.3735	0.4005	0.2492	0.9737	0.1429	0.6545
0.1347	3.0	18	1.3365	0.4220	0.2561	0.9737	0.1474	0.6665

Framework versions

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