populism_classifier_bsample_402

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

• Loss: 0.4279
• Accuracy: 0.9449
• 1-f1: 0.6333
• 1-recall: 0.8261
• 1-precision: 0.5135
• Balanced Acc: 0.8891

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
0.0856	1.0	6	0.3340	0.8521	0.4158	0.9130	0.2692	0.8807
0.0178	2.0	12	0.5106	0.8822	0.4598	0.8696	0.3125	0.8763
0.0932	3.0	18	0.4279	0.9449	0.6333	0.8261	0.5135	0.8891

Framework versions

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