populism_classifier_bsample_332

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

• Loss: 0.6995
• Accuracy: 0.7081
• 1-f1: 0.4786
• 1-recall: 0.9655
• 1-precision: 0.3182
• Balanced Acc: 0.8161

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
0.1216	1.0	5	0.4940	0.7847	0.5545	0.9655	0.3889	0.8605
0.0218	2.0	10	0.5559	0.7799	0.5490	0.9655	0.3836	0.8578
0.0059	3.0	15	0.6995	0.7081	0.4786	0.9655	0.3182	0.8161

Framework versions

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