populism_classifier_bsample_177

This model is a fine-tuned version of AnonymousCS/populism_multilingual_bert_uncased_v2 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.8398
• Accuracy: 0.6667
• 1-f1: 0.3737
• 1-recall: 0.9737
• 1-precision: 0.2313
• Balanced Acc: 0.8027

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
0.0609	1.0	6	0.6332	0.8333	0.4833	0.7632	0.3537	0.8022
0.8549	2.0	12	0.7615	0.8575	0.4952	0.6842	0.3881	0.7807
0.0866	3.0	18	0.8398	0.6667	0.3737	0.9737	0.2313	0.8027

Framework versions

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