populism_classifier_bsample_322

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: 0.9928
• Accuracy: 0.8255
• 1-f1: 0.2083
• 1-recall: 0.8
• 1-precision: 0.1198
• Balanced Acc: 0.8131

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
0.2504	1.0	9	0.6462	0.8749	0.2158	0.6	0.1316	0.7415
0.0058	2.0	18	0.8525	0.8243	0.2073	0.8	0.1190	0.8125
0.0056	3.0	27	0.9928	0.8255	0.2083	0.8	0.1198	0.8131

Framework versions

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