populism_classifier_bsample_037

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: 0.6025
• Accuracy: 0.8439
• 1-f1: 0.3944
• 1-recall: 0.875
• 1-precision: 0.2545
• Balanced Acc: 0.8585

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
0.068	1.0	6	0.5744	0.8548	0.4203	0.9062	0.2736	0.8789
0.2657	2.0	12	0.6911	0.9165	0.4390	0.5625	0.36	0.7504
0.0267	3.0	18	0.6025	0.8439	0.3944	0.875	0.2545	0.8585

Framework versions

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