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populism_classifier_bsample_038
AnonymousCS/populism_classifier_bsample_038
populism_classifier_bsample_038 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
- 60bd86db
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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_038
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: 1.0515
- Accuracy: 0.7469
- 1-f1: 0.3129
- 1-recall: 1.0
- 1-precision: 0.1855
- Balanced Acc: 0.8657
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 |
|---|---|---|---|---|---|---|---|---|
| 0.0359 | 1.0 | 6 | 0.7153 | 0.7895 | 0.3333 | 0.9130 | 0.2039 | 0.8475 |
| 0.0438 | 2.0 | 12 | 0.7526 | 0.7719 | 0.3358 | 1.0 | 0.2018 | 0.8790 |
| 0.0317 | 3.0 | 18 | 0.6063 | 0.8271 | 0.3784 | 0.9130 | 0.2386 | 0.8674 |
| 0.0226 | 4.0 | 24 | 0.7763 | 0.7820 | 0.3459 | 1.0 | 0.2091 | 0.8843 |
| 0.0377 | 5.0 | 30 | 0.5571 | 0.8596 | 0.4167 | 0.8696 | 0.2740 | 0.8643 |
| 0.0027 | 6.0 | 36 | 0.7774 | 0.8020 | 0.3577 | 0.9565 | 0.22 | 0.8745 |
| 0.0014 | 7.0 | 42 | 1.0515 | 0.7469 | 0.3129 | 1.0 | 0.1855 | 0.8657 |
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