populism_classifier_bsample_399

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

• Loss: 0.6883
• Accuracy: 0.8548
• 1-f1: 0.4228
• 1-recall: 0.9630
• 1-precision: 0.2708
• Balanced Acc: 0.9057

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
0.0644	1.0	7	0.2491	0.9223	0.5778	0.9630	0.4127	0.9414
0.0028	2.0	14	0.6544	0.8487	0.4127	0.9630	0.2626	0.9025
0.0009	3.0	21	0.6883	0.8548	0.4228	0.9630	0.2708	0.9057

Framework versions

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