---
library_name: transformers
license: mit
base_model: AnonymousCS/populism_multilingual_roberta_base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: populism_classifier_241
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# populism_classifier_241

This model is a fine-tuned version of [AnonymousCS/populism_multilingual_roberta_base](https://huggingface.co/AnonymousCS/populism_multilingual_roberta_base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5762
- Accuracy: 0.9485
- 1-f1: 0.5
- 1-recall: 0.625
- 1-precision: 0.4167
- Balanced Acc: 0.7937

## 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: 20
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | 1-f1   | 1-recall | 1-precision | Balanced Acc |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
| 0.3564        | 1.0   | 25   | 0.3452          | 0.8557   | 0.3333 | 0.875    | 0.2059      | 0.8649       |
| 0.0732        | 2.0   | 50   | 0.4145          | 0.9433   | 0.4762 | 0.625    | 0.3846      | 0.7910       |
| 0.4557        | 3.0   | 75   | 0.6337          | 0.9562   | 0.5143 | 0.5625   | 0.4737      | 0.7678       |
| 0.062         | 4.0   | 100  | 0.5762          | 0.9485   | 0.5    | 0.625    | 0.4167      | 0.7937       |


### Framework versions

- Transformers 4.46.3
- Pytorch 2.4.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3