populism_classifier_bsample_386

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: 0.8007
• Accuracy: 0.7985
• 1-f1: 0.2264
• 1-recall: 0.75
• 1-precision: 0.1333
• Balanced Acc: 0.7753

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
0.1259	1.0	4	1.3380	0.5774	0.1569	1.0	0.0851	0.7801
0.0921	2.0	8	0.5886	0.8059	0.2617	0.875	0.1538	0.8390
0.084	3.0	12	0.8020	0.7322	0.2044	0.875	0.1157	0.8007
0.0229	4.0	16	0.8007	0.7985	0.2264	0.75	0.1333	0.7753

Framework versions

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