---
library_name: transformers
license: mit
base_model: AnonymousCS/populism_multilingual_roberta_base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: populism_classifier_235
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# populism_classifier_235

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: 0.5612
- Accuracy: 0.9350
- 1-f1: 0.4244
- 1-recall: 0.5023
- 1-precision: 0.3674
- Balanced Acc: 0.7295

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
| 0.495         | 1.0   | 871  | 0.3809          | 0.9201   | 0.4087 | 0.5789   | 0.3158      | 0.7580       |
| 0.3464        | 2.0   | 1742 | 0.3856          | 0.9236   | 0.4147 | 0.5669   | 0.3270      | 0.7542       |
| 0.103         | 3.0   | 2613 | 0.4297          | 0.9423   | 0.4322 | 0.4602   | 0.4075      | 0.7133       |
| 0.2132        | 4.0   | 3484 | 0.5612          | 0.9350   | 0.4244 | 0.5023   | 0.3674      | 0.7295       |


### Framework versions

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