populism_classifier_bsample_366

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: 1.3543
• Accuracy: 0.3180
• 1-f1: 0.0796
• 1-recall: 1.0
• 1-precision: 0.0415
• Balanced Acc: 0.6486

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
0.5102	1.0	4	1.3382	0.2164	0.0700	1.0	0.0363	0.5963
0.3137	2.0	8	1.8284	0.2164	0.0700	1.0	0.0363	0.5963
0.2763	3.0	12	1.3543	0.3180	0.0796	1.0	0.0415	0.6486

Framework versions

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