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populism_classifier_383
AnonymousCS/populism_classifier_383
populism_classifier_383 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
- b736acd2
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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_383
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: 0.3749
- Accuracy: 0.9870
- 1-f1: 0.7879
- 1-recall: 0.6842
- 1-precision: 0.9286
- Balanced Acc: 0.8411
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 |
|---|---|---|---|---|---|---|---|---|
| 0.0931 | 1.0 | 34 | 0.1639 | 0.9833 | 0.7568 | 0.7368 | 0.7778 | 0.8646 |
| 0.0131 | 2.0 | 68 | 0.1420 | 0.9833 | 0.7805 | 0.8421 | 0.7273 | 0.9153 |
| 0.4398 | 3.0 | 102 | 0.1904 | 0.9907 | 0.8649 | 0.8421 | 0.8889 | 0.9191 |
| 0.0105 | 4.0 | 136 | 0.2434 | 0.9870 | 0.8000 | 0.7368 | 0.875 | 0.8665 |
| 0.0003 | 5.0 | 170 | 0.3749 | 0.9870 | 0.7879 | 0.6842 | 0.9286 | 0.8411 |
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