---
library_name: transformers
license: apache-2.0
base_model: answerdotai/ModernBERT-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: populism_model119
  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_model119

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: 0.3623
- Accuracy: 0.9112
- 1-f1: 0.4103
- 1-recall: 0.7273
- 1-precision: 0.2857
- Balanced Acc: 0.8233

## 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 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
| 0.4805        | 1.0   | 33   | 0.3932          | 0.8707   | 0.3495 | 0.8182   | 0.2222      | 0.8456       |
| 0.4384        | 2.0   | 66   | 0.3819          | 0.8398   | 0.3140 | 0.8636   | 0.1919      | 0.8512       |
| 0.3546        | 3.0   | 99   | 0.3564          | 0.8822   | 0.3838 | 0.8636   | 0.2468      | 0.8734       |
| 0.2639        | 4.0   | 132  | 0.3752          | 0.8494   | 0.3276 | 0.8636   | 0.2021      | 0.8562       |
| 0.2525        | 5.0   | 165  | 0.3623          | 0.9112   | 0.4103 | 0.7273   | 0.2857      | 0.8233       |


### Framework versions

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