---
library_name: transformers
license: apache-2.0
base_model: answerdotai/ModernBERT-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: populism_classifier_053
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# populism_classifier_053

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: 0.6104
- Accuracy: 0.9181
- 1-f1: 0.3401
- 1-recall: 0.4421
- 1-precision: 0.2763
- Balanced Acc: 0.6920

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
| 0.5451        | 1.0   | 871  | 0.4797          | 0.9077   | 0.2743 | 0.3654   | 0.2195      | 0.6501       |
| 0.3057        | 2.0   | 1742 | 0.4281          | 0.8785   | 0.2995 | 0.5444   | 0.2066      | 0.7198       |
| 0.1428        | 3.0   | 2613 | 0.4528          | 0.9120   | 0.3322 | 0.4586   | 0.2605      | 0.6967       |
| 0.1982        | 4.0   | 3484 | 0.6104          | 0.9181   | 0.3401 | 0.4421   | 0.2763      | 0.6920       |


### Framework versions

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