---
library_name: transformers
license: apache-2.0
base_model: answerdotai/ModernBERT-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: populism_model93
  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_model93

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: 0.7659
- Accuracy: 0.9244
- 1-f1: 0.3592
- 1-recall: 0.4353
- 1-precision: 0.3058
- Balanced Acc: 0.6923

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
| 0.3779        | 1.0   | 110  | 0.4729          | 0.9020   | 0.3187 | 0.4706   | 0.2410      | 0.6973       |
| 0.3089        | 2.0   | 220  | 0.5169          | 0.9077   | 0.3264 | 0.4588   | 0.2532      | 0.6948       |
| 0.2595        | 3.0   | 330  | 0.4947          | 0.8842   | 0.2986 | 0.5059   | 0.2118      | 0.7047       |
| 0.1767        | 4.0   | 440  | 0.7978          | 0.9415   | 0.3544 | 0.3294   | 0.3836      | 0.6512       |
| 0.0985        | 5.0   | 550  | 0.7659          | 0.9244   | 0.3592 | 0.4353   | 0.3058      | 0.6923       |


### Framework versions

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