populism_model100
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: 0.3708
- Accuracy: 0.9205
- F1: 0.5806
- Recall: 0.9
- Precision: 0.4286
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 | 11 | 0.2865 | 0.8716 | 0.4615 | 0.9 | 0.3103 |
| No log | 2.0 | 22 | 0.3406 | 0.8991 | 0.5217 | 0.9 | 0.3673 |
| No log | 3.0 | 33 | 0.3457 | 0.8746 | 0.4675 | 0.9 | 0.3158 |
| No log | 4.0 | 44 | 0.3497 | 0.9144 | 0.5625 | 0.9 | 0.4091 |
| 0.2317 | 5.0 | 55 | 0.3708 | 0.9205 | 0.5806 | 0.9 | 0.4286 |
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_model100
Base model
answerdotai/ModernBERT-base