populism_model102
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: 0.5708
- Accuracy: 0.9464
- F1: 0.6102
- Recall: 0.6667
- Precision: 0.5625
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 | 14 | 0.2667 | 0.9021 | 0.5116 | 0.8148 | 0.3729 |
| No log | 2.0 | 28 | 0.2540 | 0.8718 | 0.4660 | 0.8889 | 0.3158 |
| No log | 3.0 | 42 | 0.3540 | 0.9231 | 0.5479 | 0.7407 | 0.4348 |
| 0.2038 | 4.0 | 56 | 0.3997 | 0.9207 | 0.5405 | 0.7407 | 0.4255 |
| 0.2038 | 5.0 | 70 | 0.5708 | 0.9464 | 0.6102 | 0.6667 | 0.5625 |
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_model102
Base model
answerdotai/ModernBERT-base