populism_classifier_bsample_393

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

• Loss: 0.2779
• Accuracy: 0.9231
• 1-f1: 0.6824
• 1-recall: 0.9667
• 1-precision: 0.5273
• Balanced Acc: 0.9428

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
0.0395	1.0	6	0.2120	0.9202	0.6818	1.0	0.5172	0.9564
0.0301	2.0	12	0.2769	0.9259	0.6905	0.9667	0.5370	0.9444
0.007	3.0	18	0.2779	0.9231	0.6824	0.9667	0.5273	0.9428

Framework versions

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