populism_model357

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

• Loss: 0.4170
• Accuracy: 0.8654
• 1-f1: 0.8679
• 1-recall: 0.8846
• 1-precision: 0.8519
• Balanced Acc: 0.8654

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: 128
• eval_batch_size: 128
• seed: 42
• optimizer: Use OptimizerNames.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: 5
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	1-f1	1-recall	1-precision	Balanced Acc
0.4396	1.0	2	0.4453	0.8269	0.8085	0.7308	0.9048	0.8269
0.4324	2.0	4	0.4215	0.8462	0.8462	0.8462	0.8462	0.8462
0.3754	3.0	6	0.4446	0.8077	0.8214	0.8846	0.7667	0.8077
0.3564	4.0	8	0.4308	0.8462	0.8519	0.8846	0.8214	0.8462
0.3112	5.0	10	0.4170	0.8654	0.8679	0.8846	0.8519	0.8654

Framework versions

• Transformers 4.52.0.dev0
• Pytorch 2.6.0+cu124
• Datasets 2.14.4
• Tokenizers 0.21.1