populism_model339

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: 0.3027
• Accuracy: 0.9091
• 1-f1: 0.9091
• 1-recall: 0.9091
• 1-precision: 0.9091
• Balanced Acc: 0.9091

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
0.4692	1.0	2	0.3457	0.9318	0.9362	1.0	0.88	0.9318
0.404	2.0	4	0.3236	0.8864	0.8889	0.9091	0.8696	0.8864
0.36	3.0	6	0.3228	0.9091	0.9091	0.9091	0.9091	0.9091
0.3275	4.0	8	0.3108	0.9091	0.9091	0.9091	0.9091	0.9091
0.3216	5.0	10	0.3027	0.9091	0.9091	0.9091	0.9091	0.9091

Framework versions

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