---
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_model106
  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_model106

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: 0.6019
- Accuracy: 0.9411
- F1: 0.2105
- Recall: 0.2
- Precision: 0.2222

## 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: 32
- eval_batch_size: 32
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:------:|:---------:|
| 0.4525        | 1.0   | 64   | 0.4482          | 0.9037   | 0.1404 | 0.2    | 0.1081    |
| 0.3934        | 2.0   | 128  | 0.4251          | 0.8664   | 0.2093 | 0.45   | 0.1364    |
| 0.5642        | 3.0   | 192  | 0.4319          | 0.9194   | 0.2545 | 0.35   | 0.2       |
| 0.2694        | 4.0   | 256  | 0.6179          | 0.9470   | 0.1290 | 0.1    | 0.1818    |
| 0.2547        | 5.0   | 320  | 0.6019          | 0.9411   | 0.2105 | 0.2    | 0.2222    |


### Framework versions

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