populism_model353

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

• Loss: 0.4901
• Accuracy: 0.7826
• 1-f1: 0.8077
• 1-recall: 0.9130
• 1-precision: 0.7241
• Balanced Acc: 0.7826

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: 128
• eval_batch_size: 128
• seed: 42
• optimizer: Use OptimizerNames.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: 5
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	1-f1	1-recall	1-precision	Balanced Acc
0.4474	1.0	2	0.5765	0.7609	0.7660	0.7826	0.75	0.7609
0.4942	2.0	4	0.5225	0.7609	0.7843	0.8696	0.7143	0.7609
0.371	3.0	6	0.5126	0.8043	0.8302	0.9565	0.7333	0.8043
0.3912	4.0	8	0.5075	0.8043	0.8302	0.9565	0.7333	0.8043
0.3513	5.0	10	0.4901	0.7826	0.8077	0.9130	0.7241	0.7826

Framework versions

• Transformers 4.52.0.dev0
• Pytorch 2.6.0+cu124
• Datasets 2.14.4
• Tokenizers 0.21.1