populism_classifier_bsample_344

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: 0.7023
• Accuracy: 0.7462
• 1-f1: 0.3093
• 1-recall: 0.9091
• 1-precision: 0.1863
• Balanced Acc: 0.8222

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
0.0898	1.0	8	0.6231	0.7538	0.3158	0.9091	0.1911	0.8263
0.0548	2.0	16	1.1928	0.5814	0.2300	1.0	0.1299	0.7768
0.0308	3.0	24	0.7023	0.7462	0.3093	0.9091	0.1863	0.8222

Framework versions

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