---
library_name: transformers
license: apache-2.0
base_model: answerdotai/ModernBERT-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: populism_classifier_073
  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_073

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: 0.9072
- Accuracy: 0.8540
- 1-f1: 0.3291
- 1-recall: 0.4062
- 1-precision: 0.2766
- Balanced Acc: 0.6518

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
| 0.642         | 1.0   | 23   | 0.5356          | 0.6667   | 0.3006 | 0.8125   | 0.1844      | 0.7325       |
| 0.3981        | 2.0   | 46   | 0.5341          | 0.7410   | 0.3286 | 0.7188   | 0.2130      | 0.7310       |
| 0.3575        | 3.0   | 69   | 0.6296          | 0.6887   | 0.3067 | 0.7812   | 0.1908      | 0.7305       |
| 0.1521        | 4.0   | 92   | 0.9072          | 0.8540   | 0.3291 | 0.4062   | 0.2766      | 0.6518       |


### Framework versions

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