populism_model345

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: 0.2979
• Accuracy: 0.8431
• 1-f1: 0.8333
• 1-recall: 0.8
• 1-precision: 0.8696
• Balanced Acc: 0.8423

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
0.4472	1.0	2	0.2750	0.9020	0.9057	0.96	0.8571	0.9031
0.4041	2.0	4	0.2589	0.9216	0.9231	0.96	0.8889	0.9223
0.3637	3.0	6	0.2696	0.9020	0.8980	0.88	0.9167	0.9015
0.3502	4.0	8	0.2977	0.8824	0.88	0.88	0.88	0.8823
0.3592	5.0	10	0.2979	0.8431	0.8333	0.8	0.8696	0.8423

Framework versions

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