Downloads · 30 days
7
20% of all-time downloads
populism_classifier_001
AnonymousCS/populism_classifier_001
populism_classifier_001 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. --
All-time downloads
35
Public
Parameters
178M
1.4 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors711 MB · 99%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Aug 25, 2025
- Updated
- Aug 25, 2025
- SHA
- ad78f446
Try a prompt
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_001
This model is a fine-tuned version of google-bert/bert-base-multilingual-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4012
- Accuracy: 0.9320
- 1-f1: 0.4981
- 1-recall: 0.7068
- 1-precision: 0.3846
- Balanced Acc: 0.8250
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: 128
- eval_batch_size: 128
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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 |
|---|---|---|---|---|---|---|---|---|
| 0.3001 | 1.0 | 436 | 0.3010 | 0.9048 | 0.4331 | 0.7624 | 0.3025 | 0.8372 |
| 0.2093 | 2.0 | 872 | 0.2855 | 0.8979 | 0.4278 | 0.8 | 0.2920 | 0.8514 |
| 0.0919 | 3.0 | 1308 | 0.3977 | 0.9390 | 0.4988 | 0.6361 | 0.4103 | 0.7951 |
| 0.0759 | 4.0 | 1744 | 0.4012 | 0.9320 | 0.4981 | 0.7068 | 0.3846 | 0.8250 |
Framework versions
- Transformers 4.56.0.dev0
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.21.4
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Aug 25, 2025
- Updated
- Aug 25, 2025