populism_model116
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: 0.3078
- Accuracy: 0.9443
- 1-f1: 0.3373
- 1-recall: 0.5
- 1-precision: 0.2545
- Balanced Acc: 0.7286
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 |
|---|---|---|---|---|---|---|---|---|
| 0.3847 | 1.0 | 62 | 0.4022 | 0.9686 | 0.1143 | 0.0714 | 0.2857 | 0.5331 |
| 0.525 | 2.0 | 124 | 0.3436 | 0.8664 | 0.25 | 0.7857 | 0.1486 | 0.8272 |
| 0.3211 | 3.0 | 186 | 0.3078 | 0.9443 | 0.3373 | 0.5 | 0.2545 | 0.7286 |
Framework versions
- Transformers 4.49.0.dev0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
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Base model
answerdotai/ModernBERT-base