populism_model120
This model is a fine-tuned version of AnonymousCS/populism_multilingual_modernbert_base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3734
- Accuracy: 0.9012
- 1-f1: 0.4335
- 1-recall: 0.6424
- 1-precision: 0.3272
- Balanced Acc: 0.7799
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 OptimizerNames.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: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | 1-f1 | 1-recall | 1-precision | Balanced Acc |
|---|---|---|---|---|---|---|---|---|
| 0.3964 | 1.0 | 176 | 0.4145 | 0.8091 | 0.3150 | 0.7455 | 0.1997 | 0.7793 |
| 0.3039 | 2.0 | 352 | 0.3635 | 0.8601 | 0.3797 | 0.7273 | 0.2570 | 0.7979 |
| 0.2379 | 3.0 | 528 | 0.3734 | 0.9012 | 0.4335 | 0.6424 | 0.3272 | 0.7799 |
Framework versions
- Transformers 4.49.0.dev0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
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Model tree for AnonymousCS/populism_model120
Base model
answerdotai/ModernBERT-base