populism_classifier_bsample_035

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: 0.5844
• Accuracy: 0.9080
• 1-f1: 0.4444
• 1-recall: 0.6667
• 1-precision: 0.3333
• Balanced Acc: 0.7944

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
0.0316	1.0	7	0.5024	0.8425	0.4031	0.9630	0.2549	0.8992
0.0114	2.0	14	0.8042	0.7382	0.2889	0.9630	0.1699	0.8440
0.0093	3.0	21	0.5844	0.9080	0.4444	0.6667	0.3333	0.7944

Framework versions

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