populism_classifier_237
This model is a fine-tuned version of AnonymousCS/populism_multilingual_roberta_base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5735
- Accuracy: 0.8018
- 1-f1: 0.3738
- 1-recall: 0.8
- 1-precision: 0.2439
- Balanced Acc: 0.8010
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 |
|---|---|---|---|---|---|---|---|---|
| 0.2948 | 1.0 | 22 | 0.5296 | 0.6272 | 0.2500 | 0.84 | 0.1469 | 0.7251 |
| 0.638 | 2.0 | 44 | 0.4735 | 0.7544 | 0.3140 | 0.76 | 0.1979 | 0.7570 |
| 0.789 | 3.0 | 66 | 0.5050 | 0.8994 | 0.4848 | 0.64 | 0.3902 | 0.7801 |
| 0.1612 | 4.0 | 88 | 0.4971 | 0.8728 | 0.4557 | 0.72 | 0.3333 | 0.8025 |
| 0.6363 | 5.0 | 110 | 0.5735 | 0.8018 | 0.3738 | 0.8 | 0.2439 | 0.8010 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.4.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
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