populism_classifier_bsample_016

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: 1.0075
• Accuracy: 0.6530
• 1-f1: 0.3497
• 1-recall: 1.0
• 1-precision: 0.2119
• Balanced Acc: 0.8086

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
0.1604	1.0	4	0.5842	0.7724	0.4505	1.0	0.2907	0.8745
0.0514	2.0	8	0.7371	0.7313	0.4098	1.0	0.2577	0.8519
0.0393	3.0	12	1.0075	0.6530	0.3497	1.0	0.2119	0.8086

Framework versions

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