populism_classifier_bsample_166

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: 0.5856
• Accuracy: 0.8921
• 1-f1: 0.2769
• 1-recall: 0.72
• 1-precision: 0.1714
• Balanced Acc: 0.8086

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
0.072	1.0	9	0.5569	0.8519	0.2543	0.88	0.1486	0.8655
0.0128	2.0	18	0.6338	0.8599	0.2469	0.8	0.1460	0.8309
0.0272	3.0	27	0.5856	0.8921	0.2769	0.72	0.1714	0.8086

Framework versions

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