populism_classifier_bsample_388

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: 0.6621
• Accuracy: 0.8909
• 1-f1: 0.4854
• 1-recall: 0.8929
• 1-precision: 0.3333
• Balanced Acc: 0.8918

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
0.0163	1.0	7	0.6539	0.8416	0.3937	0.8929	0.2525	0.8656
0.0243	2.0	14	0.6851	0.8786	0.4587	0.8929	0.3086	0.8853
0.0195	3.0	21	0.6621	0.8909	0.4854	0.8929	0.3333	0.8918

Framework versions

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