---
library_name: transformers
license: apache-2.0
base_model: answerdotai/ModernBERT-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: populism_model117
  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_model117

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: 0.7298
- Accuracy: 0.8974
- 1-f1: 0.5063
- 1-recall: 0.625
- 1-precision: 0.4255
- Balanced Acc: 0.7737

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
| No log        | 1.0   | 24   | 0.5349          | 0.8132   | 0.4132 | 0.7812   | 0.2809      | 0.7987       |
| 0.4931        | 2.0   | 48   | 0.6571          | 0.8974   | 0.4935 | 0.5938   | 0.4222      | 0.7595       |
| 0.4121        | 3.0   | 72   | 0.5968          | 0.8763   | 0.5053 | 0.75     | 0.3810      | 0.8190       |
| 0.3928        | 4.0   | 96   | 0.6238          | 0.8263   | 0.4211 | 0.75     | 0.2927      | 0.7917       |
| 0.3057        | 5.0   | 120  | 0.7298          | 0.8974   | 0.5063 | 0.625    | 0.4255      | 0.7737       |


### Framework versions

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