Downloads · 30 days
2
4% of all-time downloads
populism_classifier_037
AnonymousCS/populism_classifier_037
populism_classifier_037 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
51
Public
Parameters
167M
669 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors669 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
- 005360f4
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_037
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: 0.5025
- Accuracy: 0.9756
- 1-f1: 0.7111
- 1-recall: 0.64
- 1-precision: 0.8
- Balanced Acc: 0.8161
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 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 |
|---|---|---|---|---|---|---|---|---|
| 0.1038 | 1.0 | 34 | 0.2130 | 0.9699 | 0.7143 | 0.8 | 0.6452 | 0.8892 |
| 0.053 | 2.0 | 68 | 0.4069 | 0.9737 | 0.6957 | 0.64 | 0.7619 | 0.8151 |
| 0.0143 | 3.0 | 102 | 0.5025 | 0.9756 | 0.7111 | 0.64 | 0.8 | 0.8161 |
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