populism_classifier_bsample_410

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

• Loss: 0.8965
• Accuracy: 0.8756
• 1-f1: 0.5806
• 1-recall: 0.6207
• 1-precision: 0.5455
• Balanced Acc: 0.7687

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
0.0585	1.0	5	0.3956	0.8134	0.5806	0.9310	0.4219	0.8627
0.0164	2.0	10	0.6670	0.8804	0.6154	0.6897	0.5556	0.8004
0.1015	3.0	15	0.8965	0.8756	0.5806	0.6207	0.5455	0.7687

Framework versions

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