populism_classifier_bsample_028

This model is a fine-tuned version of google-bert/bert-base-multilingual-uncased on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.0598
• Accuracy: 0.7016
• 1-f1: 0.1333
• 1-recall: 0.7778
• 1-precision: 0.0729
• Balanced Acc: 0.7386

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
0.0957	1.0	4	0.8453	0.6918	0.1296	0.7778	0.0707	0.7335
0.0819	2.0	8	0.6691	0.7705	0.1667	0.7778	0.0933	0.7740
0.0617	3.0	12	1.3239	0.6262	0.1231	0.8889	0.0661	0.7536
0.0725	4.0	16	1.0598	0.7016	0.1333	0.7778	0.0729	0.7386

Framework versions

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