populism_model99
This model is a fine-tuned version of answerdotai/ModernBERT-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3306
- Accuracy: 0.9340
- F1: 0.4634
- Recall: 0.6552
- Precision: 0.3585
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 | 21 | 0.2822 | 0.8981 | 0.4035 | 0.7931 | 0.2706 |
| No log | 2.0 | 42 | 0.2856 | 0.8501 | 0.3506 | 0.9310 | 0.216 |
| 0.3261 | 3.0 | 63 | 0.3253 | 0.9415 | 0.48 | 0.6207 | 0.3913 |
| 0.3261 | 4.0 | 84 | 0.3129 | 0.9205 | 0.4536 | 0.7586 | 0.3235 |
| 0.1498 | 5.0 | 105 | 0.3306 | 0.9340 | 0.4634 | 0.6552 | 0.3585 |
Framework versions
- Transformers 4.48.0.dev0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
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Model tree for AnonymousCS/populism_model99
Base model
answerdotai/ModernBERT-base