populism_classifier_234
This model is a fine-tuned version of AnonymousCS/populism_xlmr_large on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2525
- Accuracy: 0.9371
- 1-f1: 0.0
- 1-recall: 0.0
- 1-precision: 0.0
- Balanced Acc: 0.5
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: 3e-05
- train_batch_size: 16
- eval_batch_size: 16
- 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 |
|---|---|---|---|---|---|---|---|---|
| 0.0252 | 1.0 | 124 | 0.2826 | 0.9371 | 0.0 | 0.0 | 0.0 | 0.5 |
| 0.1568 | 2.0 | 248 | 0.2368 | 0.9371 | 0.0 | 0.0 | 0.0 | 0.5 |
| 0.0719 | 3.0 | 372 | 0.2349 | 0.9371 | 0.0 | 0.0 | 0.0 | 0.5 |
| 0.1553 | 4.0 | 496 | 0.2655 | 0.9371 | 0.0 | 0.0 | 0.0 | 0.5 |
| 0.4661 | 5.0 | 620 | 0.2487 | 0.9371 | 0.0 | 0.0 | 0.0 | 0.5 |
| 0.0348 | 6.0 | 744 | 0.2525 | 0.9371 | 0.0 | 0.0 | 0.0 | 0.5 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.4.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
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