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populism_classifier_376
AnonymousCS/populism_classifier_376
populism_classifier_376 is a text classification model from AnonymousCS. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Aug 31, 2025
- Updated
- Aug 31, 2025
- SHA
- 469dd733
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Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
populism_classifier_376
This model is a fine-tuned version of AnonymousCS/populism_english_bert_large_uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3595
- Accuracy: 0.9851
- 1-f1: 0.8889
- 1-recall: 0.8889
- 1-precision: 0.8889
- Balanced Acc: 0.9405
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: 64
- eval_batch_size: 64
- 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 |
|---|---|---|---|---|---|---|---|---|
| 0.0634 | 1.0 | 26 | 0.1150 | 0.9678 | 0.8000 | 0.9630 | 0.6842 | 0.9656 |
| 0.1226 | 2.0 | 52 | 0.1786 | 0.9777 | 0.8302 | 0.8148 | 0.8462 | 0.9021 |
| 0.071 | 3.0 | 78 | 0.4079 | 0.9728 | 0.7755 | 0.7037 | 0.8636 | 0.8479 |
| 0.0021 | 4.0 | 104 | 0.0663 | 0.9851 | 0.9 | 1.0 | 0.8182 | 0.9920 |
| 0.0014 | 5.0 | 130 | 0.2323 | 0.9827 | 0.8727 | 0.8889 | 0.8571 | 0.9391 |
| 0.001 | 6.0 | 156 | 0.8937 | 0.9678 | 0.7111 | 0.5926 | 0.8889 | 0.7936 |
| 0.0005 | 7.0 | 182 | 0.3595 | 0.9851 | 0.8889 | 0.8889 | 0.8889 | 0.9405 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.4.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Aug 31, 2025
- Updated
- Aug 31, 2025