populism_classifier_016

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

• Loss: 0.5712
• Accuracy: 0.9208
• 1-f1: 0.5333
• 1-recall: 0.5455
• 1-precision: 0.5217
• Balanced Acc: 0.7501

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: 128
• eval_batch_size: 128
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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
0.3101	1.0	9	0.2765	0.8491	0.5122	0.9545	0.35	0.8970
0.2425	2.0	18	0.3022	0.8981	0.5424	0.7273	0.4324	0.8204
0.1839	3.0	27	0.5712	0.9208	0.5333	0.5455	0.5217	0.7501

Framework versions

• Transformers 4.56.0.dev0
• Pytorch 2.8.0+cu126
• Datasets 4.0.0
• Tokenizers 0.21.4