populism_classifier_bsample_367

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

• Loss: 1.1609
• Accuracy: 0.7749
• 1-f1: 0.3361
• 1-recall: 0.6667
• 1-precision: 0.2247
• Balanced Acc: 0.7259

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
0.0922	1.0	6	0.8703	0.5527	0.2698	0.9667	0.1568	0.7403
0.1236	2.0	12	1.1681	0.6838	0.3190	0.8667	0.1955	0.7667
0.0412	3.0	18	1.1609	0.7749	0.3361	0.6667	0.2247	0.7259

Framework versions

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