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populism_classifier_bsample_364
AnonymousCS/populism_classifier_bsample_364
populism_classifier_bsample_364 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 28, 2025
- Updated
- Aug 28, 2025
- SHA
- 9e5a1f33
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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_bsample_364
This model is a fine-tuned version of AnonymousCS/populism_english_bert_base_uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.9024
- Accuracy: 0.7466
- 1-f1: 0.2697
- 1-recall: 0.8889
- 1-precision: 0.1589
- Balanced Acc: 0.8138
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: 32
- eval_batch_size: 32
- 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 |
|---|---|---|---|---|---|---|---|---|
| 0.0753 | 1.0 | 8 | 1.3891 | 0.5029 | 0.1694 | 0.9630 | 0.0929 | 0.7202 |
| 0.0897 | 2.0 | 16 | 0.9531 | 0.6628 | 0.2242 | 0.9259 | 0.1276 | 0.7870 |
| 0.0263 | 3.0 | 24 | 0.8116 | 0.7427 | 0.2584 | 0.8519 | 0.1523 | 0.7942 |
| 0.0245 | 4.0 | 32 | 1.0668 | 0.6647 | 0.2182 | 0.8889 | 0.1244 | 0.7706 |
| 0.0491 | 5.0 | 40 | 0.7283 | 0.7973 | 0.3067 | 0.8519 | 0.1870 | 0.8230 |
| 0.0139 | 6.0 | 48 | 0.9519 | 0.7290 | 0.2567 | 0.8889 | 0.15 | 0.8045 |
| 0.0091 | 7.0 | 56 | 0.9024 | 0.7466 | 0.2697 | 0.8889 | 0.1589 | 0.8138 |
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 28, 2025
- Updated
- Aug 28, 2025