populism_classifier_bsample_317

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: 1.0230
• Accuracy: 0.7727
• 1-f1: 0.2149
• 1-recall: 0.8667
• 1-precision: 0.1226
• Balanced Acc: 0.8179

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
0.2126	1.0	7	0.6960	0.8636	0.3133	0.8667	0.1912	0.8651
0.1781	2.0	14	1.1394	0.7440	0.1955	0.8667	0.1102	0.8031
0.0079	3.0	21	1.0230	0.7727	0.2149	0.8667	0.1226	0.8179

Framework versions

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