---
library_name: transformers
license: apache-2.0
base_model: answerdotai/ModernBERT-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: populism_model114
  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_model114

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: 0.5422
- Accuracy: 0.8821
- 1-f1: 0.2063
- 1-recall: 0.4062
- 1-precision: 0.1383
- Balanced Acc: 0.6535

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
| 0.4857        | 1.0   | 53   | 0.4721          | 0.9375   | 0.1587 | 0.1562   | 0.1613      | 0.5622       |
| 0.3808        | 2.0   | 106  | 0.5557          | 0.9328   | 0.1231 | 0.125    | 0.1212      | 0.5447       |
| 0.4208        | 3.0   | 159  | 0.4635          | 0.8608   | 0.2133 | 0.5      | 0.1356      | 0.6875       |
| 0.3052        | 4.0   | 212  | 0.6187          | 0.9210   | 0.1728 | 0.2188   | 0.1429      | 0.5836       |
| 0.3215        | 5.0   | 265  | 0.5422          | 0.8821   | 0.2063 | 0.4062   | 0.1383      | 0.6535       |


### Framework versions

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