populism_classifier_bsample_403

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

• Loss: 0.5490
• Accuracy: 0.9027
• 1-f1: 0.4950
• 1-recall: 0.8929
• 1-precision: 0.3425
• Balanced Acc: 0.8980

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
0.1189	1.0	7	0.3968	0.9141	0.5161	0.8571	0.3692	0.8872
0.0679	2.0	14	0.6479	0.8721	0.4274	0.8929	0.2809	0.8819
0.0049	3.0	21	0.5490	0.9027	0.4950	0.8929	0.3425	0.8980

Framework versions

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