---
library_name: transformers
license: apache-2.0
base_model: answerdotai/ModernBERT-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: populism_model109
  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_model109

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: 0.3827
- Accuracy: 0.9004
- 1-f1: 0.2535
- 1-recall: 0.4737
- 1-precision: 0.1731
- Balanced Acc: 0.6949

## 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: 128
- eval_batch_size: 128
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | 1-f1   | 1-recall | 1-precision | Balanced Acc |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
| No log        | 1.0   | 17   | 0.4790          | 0.8195   | 0.1864 | 0.5789   | 0.1111      | 0.7037       |
| 0.5167        | 2.0   | 34   | 0.4572          | 0.8026   | 0.1732 | 0.5789   | 0.1019      | 0.6949       |
| 0.3953        | 3.0   | 51   | 0.4053          | 0.9154   | 0.2623 | 0.4211   | 0.1905      | 0.6774       |
| 0.3953        | 4.0   | 68   | 0.3964          | 0.8872   | 0.25   | 0.5263   | 0.1639      | 0.7135       |
| 0.3107        | 5.0   | 85   | 0.3827          | 0.9004   | 0.2535 | 0.4737   | 0.1731      | 0.6949       |


### Framework versions

- Transformers 4.48.0.dev0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0