populism_classifier_bsample_334

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

• Loss: 1.1958
• Accuracy: 0.5995
• 1-f1: 0.1554
• 1-recall: 0.9375
• 1-precision: 0.0847
• Balanced Acc: 0.7616

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
0.2304	1.0	4	0.7688	0.8428	0.2195	0.5625	0.1364	0.7084
0.4463	2.0	8	0.8443	0.8722	0.1875	0.375	0.125	0.6338
0.084	3.0	12	1.1958	0.5995	0.1554	0.9375	0.0847	0.7616

Framework versions

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