populism_model336

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: 0.6274
• Accuracy: 0.7679
• 1-f1: 0.7937
• 1-recall: 0.8929
• 1-precision: 0.7143
• Balanced Acc: 0.7679

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
No log	1.0	2	0.6721	0.625	0.7273	1.0	0.5714	0.625
No log	2.0	4	0.6545	0.6964	0.7606	0.9643	0.6279	0.6964
0.6813	3.0	6	0.6408	0.7321	0.7826	0.9643	0.6585	0.7321
0.6813	4.0	8	0.6315	0.7321	0.7692	0.8929	0.6757	0.7321
0.6501	5.0	10	0.6274	0.7679	0.7937	0.8929	0.7143	0.7679

Framework versions

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