---
library_name: transformers
license: apache-2.0
base_model: answerdotai/ModernBERT-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: populism_classifier_057
  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_057

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: 0.4919
- Accuracy: 0.9394
- 1-f1: 0.48
- 1-recall: 0.5
- 1-precision: 0.4615
- Balanced Acc: 0.7327

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
| 0.3762        | 1.0   | 27   | 0.3766          | 0.8834   | 0.375  | 0.625    | 0.2679      | 0.7619       |
| 0.256         | 2.0   | 54   | 0.3789          | 0.9231   | 0.4923 | 0.6667   | 0.3902      | 0.8025       |
| 0.1733        | 3.0   | 81   | 0.3584          | 0.8462   | 0.3654 | 0.7917   | 0.2375      | 0.8205       |
| 0.5454        | 4.0   | 108  | 0.7482          | 0.9487   | 0.3889 | 0.2917   | 0.5833      | 0.6397       |
| 0.108         | 5.0   | 135  | 0.4919          | 0.9394   | 0.48   | 0.5      | 0.4615      | 0.7327       |


### Framework versions

- Transformers 4.56.0.dev0
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.21.4