populism_model89
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: 0.2660
- Accuracy: 0.9556
- F1: 0.6102
- Recall: 0.8182
- Precision: 0.4865
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: 128
- eval_batch_size: 128
- 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: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Recall | Precision |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 17 | 0.2045 | 0.9479 | 0.5714 | 0.8182 | 0.4390 |
| No log | 2.0 | 34 | 0.2149 | 0.9324 | 0.5205 | 0.8636 | 0.3725 |
| 0.2598 | 3.0 | 51 | 0.2412 | 0.9479 | 0.5714 | 0.8182 | 0.4390 |
| 0.2598 | 4.0 | 68 | 0.2624 | 0.9305 | 0.5 | 0.8182 | 0.36 |
| 0.2598 | 5.0 | 85 | 0.2660 | 0.9556 | 0.6102 | 0.8182 | 0.4865 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
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