| | --- |
| | library_name: transformers |
| | license: apache-2.0 |
| | base_model: answerdotai/ModernBERT-base |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - accuracy |
| | model-index: |
| | - name: populism_classifier_062 |
| | results: [] |
| | --- |
| | |
| | <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| | should probably proofread and complete it, then remove this comment. --> |
| |
|
| | # populism_classifier_062 |
| |
|
| | This model is a fine-tuned version of [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.5853 |
| | - Accuracy: 0.9316 |
| | - 1-f1: 0.3409 |
| | - 1-recall: 0.5172 |
| | - 1-precision: 0.2542 |
| | - Balanced Acc: 0.7318 |
| |
|
| | ## 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_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| | - lr_scheduler_type: linear |
| | - num_epochs: 20 |
| | - mixed_precision_training: Native AMP |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | Accuracy | 1-f1 | 1-recall | 1-precision | Balanced Acc | |
| | |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:| |
| | | 0.3666 | 1.0 | 53 | 0.3686 | 0.9552 | 0.3871 | 0.4138 | 0.3636 | 0.6941 | |
| | | 0.1834 | 2.0 | 106 | 0.3433 | 0.9009 | 0.2759 | 0.5517 | 0.1839 | 0.7325 | |
| | | 0.4415 | 3.0 | 159 | 0.4318 | 0.9292 | 0.3333 | 0.5172 | 0.2459 | 0.7305 | |
| | | 0.0842 | 4.0 | 212 | 0.5853 | 0.9316 | 0.3409 | 0.5172 | 0.2542 | 0.7318 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.56.0.dev0 |
| | - Pytorch 2.8.0+cu126 |
| | - Datasets 4.0.0 |
| | - Tokenizers 0.21.4 |
| | |
