---
library_name: transformers
license: apache-2.0
base_model: answerdotai/ModernBERT-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: populism_classifier_054
  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_054

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: 0.5655
- Accuracy: 0.9443
- 1-f1: 0.1053
- 1-recall: 0.0833
- 1-precision: 0.1429
- Balanced Acc: 0.5314

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
| 0.3728        | 1.0   | 20   | 0.4425          | 0.9508   | 0.1176 | 0.0833   | 0.2         | 0.5348       |
| 0.2261        | 2.0   | 40   | 0.5642          | 0.9607   | 0.0    | 0.0      | 0.0         | 0.5          |
| 0.4511        | 3.0   | 60   | 0.4351          | 0.8984   | 0.1622 | 0.25     | 0.12        | 0.5875       |
| 0.8357        | 4.0   | 80   | 0.4973          | 0.7115   | 0.1852 | 0.8333   | 0.1042      | 0.7699       |
| 0.2512        | 5.0   | 100  | 0.5655          | 0.9443   | 0.1053 | 0.0833   | 0.1429      | 0.5314       |


### Framework versions

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