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populism_classifier_bsample_124
AnonymousCS/populism_classifier_bsample_124
populism_classifier_bsample_124 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 mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- xlm-roberta
- Access
- Public
- Created
- Aug 29, 2025
- Updated
- Aug 29, 2025
- SHA
- e218f01d
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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_124
This model is a fine-tuned version of FacebookAI/xlm-roberta-large on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.1470
- Accuracy: 0.5407
- 1-f1: 0.3514
- 1-recall: 0.8966
- 1-precision: 0.2185
- Balanced Acc: 0.6899
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: 3e-05
- train_batch_size: 16
- eval_batch_size: 16
- 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: 15
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | 1-f1 | 1-recall | 1-precision | Balanced Acc |
|---|---|---|---|---|---|---|---|---|
| 0.6081 | 1.0 | 9 | 1.1302 | 0.1388 | 0.2437 | 1.0 | 0.1388 | 0.5 |
| 0.5201 | 2.0 | 18 | 1.4976 | 0.1388 | 0.2437 | 1.0 | 0.1388 | 0.5 |
| 0.4716 | 3.0 | 27 | 0.8346 | 0.4498 | 0.3195 | 0.9310 | 0.1929 | 0.6516 |
| 0.4272 | 4.0 | 36 | 1.5418 | 0.2536 | 0.2642 | 0.9655 | 0.1530 | 0.5522 |
| 0.3513 | 5.0 | 45 | 1.1470 | 0.5407 | 0.3514 | 0.8966 | 0.2185 | 0.6899 |
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
- xlm-roberta
- License
- mit
- Created
- Aug 29, 2025
- Updated
- Aug 29, 2025