Downloads · 30 days
6
13% of all-time downloads
populism_classifier_368
AnonymousCS/populism_classifier_368
populism_classifier_368 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
45
Public
Parameters
335M
2.7 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors1.3 GB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Aug 26, 2025
- Updated
- Aug 31, 2025
- SHA
- ad2874cf
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_368
This model is a fine-tuned version of AnonymousCS/populism_english_bert_large_uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4167
- Accuracy: 0.9633
- 1-f1: 0.1081
- 1-recall: 0.1333
- 1-precision: 0.0909
- Balanced Acc: 0.5553
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: 64
- eval_batch_size: 64
- 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 |
|---|---|---|---|---|---|---|---|---|
| 0.5876 | 1.0 | 113 | 0.3563 | 0.9833 | 0.0 | 0.0 | 0.0 | 0.5 |
| 0.5976 | 2.0 | 226 | 0.3037 | 0.9733 | 0.0769 | 0.0667 | 0.0909 | 0.5277 |
| 0.658 | 3.0 | 339 | 0.4078 | 0.9794 | 0.0 | 0.0 | 0.0 | 0.4980 |
| 0.1679 | 4.0 | 452 | 0.3198 | 0.9421 | 0.1875 | 0.4 | 0.1224 | 0.6757 |
| 0.2655 | 5.0 | 565 | 0.4167 | 0.9633 | 0.1081 | 0.1333 | 0.0909 | 0.5553 |
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 26, 2025
- Updated
- Aug 31, 2025