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populism_model216
AnonymousCS/populism_model216
populism_model216 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
- Jan 22, 2025
- Updated
- Jan 22, 2025
- SHA
- d1096f93
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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_model216
This model is a fine-tuned version of AnonymousCS/populism_multilingual_bert_uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3482
- Accuracy: 0.9169
- 1-f1: 0.5915
- 1-recall: 0.7778
- 1-precision: 0.4773
- Balanced Acc: 0.8532
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 with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | 1-f1 | 1-recall | 1-precision | Balanced Acc |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 22 | 0.2860 | 0.8825 | 0.5393 | 0.8889 | 0.3871 | 0.8854 |
| 0.305 | 2.0 | 44 | 0.3394 | 0.9140 | 0.5833 | 0.7778 | 0.4667 | 0.8516 |
| 0.1911 | 3.0 | 66 | 0.3482 | 0.9169 | 0.5915 | 0.7778 | 0.4773 | 0.8532 |
Framework versions
- Transformers 4.49.0.dev0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Jan 22, 2025
- Updated
- Jan 22, 2025