---
library_name: transformers
license: apache-2.0
base_model: answerdotai/ModernBERT-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: populism_classifier_060
  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_060

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: 0.8386
- Accuracy: 0.9484
- 1-f1: 0.5909
- 1-recall: 0.4815
- 1-precision: 0.7647
- Balanced Acc: 0.7345

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
| 0.3607        | 1.0   | 22   | 0.1948          | 0.8768   | 0.5567 | 1.0      | 0.3857      | 0.9332       |
| 0.1164        | 2.0   | 44   | 0.2013          | 0.9398   | 0.6667 | 0.7778   | 0.5833      | 0.8656       |
| 0.0699        | 3.0   | 66   | 0.1683          | 0.9398   | 0.6957 | 0.8889   | 0.5714      | 0.9165       |
| 0.0583        | 4.0   | 88   | 0.2549          | 0.9570   | 0.7273 | 0.7407   | 0.7143      | 0.8579       |
| 0.0019        | 5.0   | 110  | 0.8386          | 0.9484   | 0.5909 | 0.4815   | 0.7647      | 0.7345       |


### Framework versions

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