---
library_name: transformers
license: apache-2.0
base_model: answerdotai/ModernBERT-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: populism_model111
  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_model111

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: 0.6324
- Accuracy: 0.9331
- 1-f1: 0.3077
- 1-recall: 0.3810
- 1-precision: 0.2581
- Balanced Acc: 0.6682

## 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: 128
- eval_batch_size: 128
- 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   | 17   | 0.4979          | 0.9554   | 0.0769 | 0.0476   | 0.2         | 0.5199       |
| 0.4627        | 2.0   | 34   | 0.4936          | 0.9424   | 0.3404 | 0.3810   | 0.3077      | 0.6731       |
| 0.2898        | 3.0   | 51   | 0.5184          | 0.9015   | 0.2535 | 0.4286   | 0.18        | 0.6746       |
| 0.2898        | 4.0   | 68   | 0.5747          | 0.9145   | 0.2581 | 0.3810   | 0.1951      | 0.6586       |
| 0.2036        | 5.0   | 85   | 0.6324          | 0.9331   | 0.3077 | 0.3810   | 0.2581      | 0.6682       |


### Framework versions

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