populism_classifier_bsample_017

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: 0.7602
• Accuracy: 0.8255
• 1-f1: 0.2764
• 1-recall: 0.7727
• 1-precision: 0.1683
• Balanced Acc: 0.8003

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
0.3045	1.0	7	0.6905	0.8765	0.2921	0.5909	0.1940	0.7401
0.0363	2.0	14	1.2531	0.6294	0.1747	0.9091	0.0966	0.7629
0.0149	3.0	21	0.7602	0.8255	0.2764	0.7727	0.1683	0.8003

Framework versions

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