populism_classifier_bsample_020

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

• Loss: 0.8576
• Accuracy: 0.6938
• 1-f1: 0.4667
• 1-recall: 0.9655
• 1-precision: 0.3077
• Balanced Acc: 0.8078

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
0.1171	1.0	5	0.8253	0.6938	0.4667	0.9655	0.3077	0.8078
0.0599	2.0	10	0.8998	0.7368	0.4554	0.7931	0.3194	0.7604
0.02	3.0	15	0.8576	0.6938	0.4667	0.9655	0.3077	0.8078

Framework versions

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