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populism_model278
AnonymousCS/populism_model278
populism_model278 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 23, 2025
- Updated
- Jan 23, 2025
- SHA
- d32a005b
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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_model278
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: 0.5920
- Accuracy: 0.9156
- 1-f1: 0.3279
- 1-recall: 0.3571
- 1-precision: 0.3030
- Balanced Acc: 0.6535
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: 32
- eval_batch_size: 32
- 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 |
|---|---|---|---|---|---|---|---|---|
| 0.4761 | 1.0 | 61 | 0.5961 | 0.9321 | 0.2667 | 0.2143 | 0.3529 | 0.5951 |
| 0.3832 | 2.0 | 122 | 0.6550 | 0.9383 | 0.375 | 0.3214 | 0.45 | 0.6487 |
| 0.2301 | 3.0 | 183 | 0.5920 | 0.9156 | 0.3279 | 0.3571 | 0.3030 | 0.6535 |
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 23, 2025
- Updated
- Jan 23, 2025