populism_classifier_bsample_397

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

• Loss: 0.4551
• Accuracy: 0.9050
• 1-f1: 0.3333
• 1-recall: 0.8182
• 1-precision: 0.2093
• Balanced Acc: 0.8629

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
0.0787	1.0	5	0.3797	0.8470	0.2750	1.0	0.1594	0.9212
0.057	2.0	10	0.5416	0.8443	0.2532	0.9091	0.1471	0.8757
0.03	3.0	15	0.4551	0.9050	0.3333	0.8182	0.2093	0.8629

Framework versions

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