populism_classifier_bsample_029

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

• Loss: 0.6645
• Accuracy: 0.7863
• 1-f1: 0.4000
• 1-recall: 0.8333
• 1-precision: 0.2632
• Balanced Acc: 0.8076

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
0.0369	1.0	6	0.5941	0.8091	0.4174	0.8	0.2824	0.8050
0.0553	2.0	12	0.6068	0.8405	0.4286	0.7	0.3088	0.7768
0.0111	3.0	18	0.6645	0.7863	0.4000	0.8333	0.2632	0.8076

Framework versions

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