---
library_name: transformers
license: mit
base_model: AnonymousCS/populism_multilingual_roberta_base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: populism_classifier_255
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# populism_classifier_255

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: 0.7364
- Accuracy: 0.6584
- 1-f1: 0.2706
- 1-recall: 0.7188
- 1-precision: 0.1667
- Balanced Acc: 0.6857

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
| 0.6347        | 1.0   | 23   | 0.5760          | 0.6088   | 0.2366 | 0.6875   | 0.1429      | 0.6444       |
| 0.6027        | 2.0   | 46   | 0.5946          | 0.6116   | 0.2618 | 0.7812   | 0.1572      | 0.6882       |
| 0.4856        | 3.0   | 69   | 0.6712          | 0.6722   | 0.2516 | 0.625    | 0.1575      | 0.6509       |
| 0.4498        | 4.0   | 92   | 0.7364          | 0.6584   | 0.2706 | 0.7188   | 0.1667      | 0.6857       |


### Framework versions

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