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populism_classifier_bsample_051
AnonymousCS/populism_classifier_bsample_051
populism_classifier_bsample_051 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 27, 2025
- Updated
- Aug 27, 2025
- SHA
- f0b03971
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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_051
This model is a fine-tuned version of google-bert/bert-base-multilingual-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.8707
- Accuracy: 0.8015
- 1-f1: 0.2697
- 1-recall: 0.6486
- 1-precision: 0.1702
- Balanced Acc: 0.7297
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 |
|---|---|---|---|---|---|---|---|---|
| 0.1637 | 1.0 | 9 | 0.8019 | 0.7954 | 0.2872 | 0.7297 | 0.1788 | 0.7645 |
| 0.0719 | 2.0 | 18 | 1.0117 | 0.6718 | 0.2456 | 0.9459 | 0.1411 | 0.8006 |
| 0.1512 | 3.0 | 27 | 0.8707 | 0.8015 | 0.2697 | 0.6486 | 0.1702 | 0.7297 |
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 27, 2025
- Updated
- Aug 27, 2025