populism_classifier_bsample_398

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

• Loss: 0.7024
• Accuracy: 0.8146
• 1-f1: 0.3774
• 1-recall: 1.0
• 1-precision: 0.2326
• Balanced Acc: 0.9018

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
0.037	1.0	6	0.3582	0.9045	0.5143	0.9	0.36	0.9024
0.0076	2.0	12	0.3654	0.8933	0.5128	1.0	0.3448	0.9435
0.065	3.0	18	0.7024	0.8146	0.3774	1.0	0.2326	0.9018

Framework versions

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