---
library_name: transformers
license: apache-2.0
base_model: answerdotai/ModernBERT-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: populism_model115
  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_model115

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: 0.3979
- Accuracy: 0.9287
- 1-f1: 0.4179
- 1-recall: 0.5833
- 1-precision: 0.3256
- Balanced Acc: 0.7639

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
| 0.5347        | 1.0   | 35   | 0.4658          | 0.9561   | 0.0    | 0.0      | 0.0         | 0.5          |
| 0.4651        | 2.0   | 70   | 0.4272          | 0.9543   | 0.1935 | 0.125    | 0.4286      | 0.5587       |
| 0.4224        | 3.0   | 105  | 0.4009          | 0.8848   | 0.3636 | 0.75     | 0.24        | 0.8205       |
| 0.4549        | 4.0   | 140  | 0.3999          | 0.8903   | 0.375  | 0.75     | 0.25        | 0.8234       |
| 0.3738        | 5.0   | 175  | 0.3979          | 0.9287   | 0.4179 | 0.5833   | 0.3256      | 0.7639       |


### Framework versions

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