populism_classifier_bsample_369

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: 0.8434
• Accuracy: 0.7847
• 1-f1: 0.2241
• 1-recall: 0.8667
• 1-precision: 0.1287
• Balanced Acc: 0.8242

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
0.0357	1.0	7	0.6741	0.8517	0.2791	0.8	0.1690	0.8268
0.049	2.0	14	1.5849	0.6148	0.1390	0.8667	0.0756	0.7361
0.0218	3.0	21	0.8434	0.7847	0.2241	0.8667	0.1287	0.8242

Framework versions

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