populism_classifier_bsample_379

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: 1.0573
• Accuracy: 0.7786
• 1-f1: 0.4082
• 1-recall: 0.8824
• 1-precision: 0.2655
• Balanced Acc: 0.8256

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
0.004	1.0	6	0.9426	0.7913	0.4143	0.8529	0.2736	0.8192
0.0708	2.0	12	1.0673	0.8422	0.4655	0.7941	0.3293	0.8205
0.0013	3.0	18	1.0573	0.7786	0.4082	0.8824	0.2655	0.8256

Framework versions

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