populism_classifier_bsample_259

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

• Loss: 0.7958
• Accuracy: 0.8473
• 1-f1: 0.3333
• 1-recall: 0.6757
• 1-precision: 0.2212
• Balanced Acc: 0.7666

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
0.077	1.0	9	0.7052	0.8672	0.3359	0.5946	0.2340	0.7390
0.0598	2.0	18	0.9283	0.7221	0.2661	0.8919	0.1564	0.8019
0.0712	3.0	27	0.7958	0.8473	0.3333	0.6757	0.2212	0.7666

Framework versions

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