populism_classifier_bsample_376

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

• Loss: 0.7859
• Accuracy: 0.8271
• 1-f1: 0.3670
• 1-recall: 0.8696
• 1-precision: 0.2326
• Balanced Acc: 0.8470

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
0.0315	1.0	6	0.7124	0.7920	0.3252	0.8696	0.2	0.8284
0.0346	2.0	12	0.7295	0.8246	0.3636	0.8696	0.2299	0.8457
0.0071	3.0	18	0.7859	0.8271	0.3670	0.8696	0.2326	0.8470

Framework versions

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