populism_classifier_bsample_392

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

• Loss: 1.1843
• Accuracy: 0.7377
• 1-f1: 0.1837
• 1-recall: 1.0
• 1-precision: 0.1011
• Balanced Acc: 0.8649

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
0.2019	1.0	4	1.5559	0.5902	0.1259	1.0	0.0672	0.7889
0.1088	2.0	8	0.4846	0.8656	0.2807	0.8889	0.1667	0.8769
0.2204	3.0	12	0.6211	0.8426	0.25	0.8889	0.1455	0.8651
0.0033	4.0	16	1.1843	0.7377	0.1837	1.0	0.1011	0.8649

Framework versions

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