populism_classifier_bsample_002

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

• Loss: 0.9803
• Accuracy: 0.6820
• 1-f1: 0.1261
• 1-recall: 0.7778
• 1-precision: 0.0686
• Balanced Acc: 0.7284

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
0.4903	1.0	4	0.5901	0.8492	0.1481	0.4444	0.0889	0.6530
0.0877	2.0	8	1.5141	0.5443	0.1146	1.0	0.0608	0.7652
0.0224	3.0	12	0.9803	0.6820	0.1261	0.7778	0.0686	0.7284

Framework versions

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