populism_model346

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: 0.4618
• Accuracy: 0.7955
• 1-f1: 0.8235
• 1-recall: 0.9545
• 1-precision: 0.7241
• Balanced Acc: 0.7955

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
0.3944	1.0	2	0.5182	0.7727	0.8077	0.9545	0.7	0.7727
0.2818	2.0	4	0.4742	0.7955	0.8235	0.9545	0.7241	0.7955
0.2666	3.0	6	0.4678	0.7955	0.8235	0.9545	0.7241	0.7955
0.2336	4.0	8	0.4625	0.7955	0.8235	0.9545	0.7241	0.7955
0.2445	5.0	10	0.4618	0.7955	0.8235	0.9545	0.7241	0.7955

Framework versions

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