populism_classifier_bsample_164

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: 0.7268
• Accuracy: 0.7753
• 1-f1: 0.3333
• 1-recall: 1.0
• 1-precision: 0.2
• Balanced Acc: 0.8810

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
0.0211	1.0	6	0.4905	0.8708	0.4390	0.9	0.2903	0.8845
0.0304	2.0	12	0.6629	0.7893	0.3363	0.95	0.2043	0.8649
0.0541	3.0	18	0.7268	0.7753	0.3333	1.0	0.2	0.8810

Framework versions

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