---
library_name: transformers
license: apache-2.0
base_model: answerdotai/ModernBERT-base
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- recall
- precision
model-index:
- name: populism_model99
  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_model99

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: 0.3306
- Accuracy: 0.9340
- F1: 0.4634
- Recall: 0.6552
- Precision: 0.3585

## 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 | F1     | Recall | Precision |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:------:|:---------:|
| No log        | 1.0   | 21   | 0.2822          | 0.8981   | 0.4035 | 0.7931 | 0.2706    |
| No log        | 2.0   | 42   | 0.2856          | 0.8501   | 0.3506 | 0.9310 | 0.216     |
| 0.3261        | 3.0   | 63   | 0.3253          | 0.9415   | 0.48   | 0.6207 | 0.3913    |
| 0.3261        | 4.0   | 84   | 0.3129          | 0.9205   | 0.4536 | 0.7586 | 0.3235    |
| 0.1498        | 5.0   | 105  | 0.3306          | 0.9340   | 0.4634 | 0.6552 | 0.3585    |


### Framework versions

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