---
library_name: transformers
license: apache-2.0
base_model: AnonymousCS/populism_multilingual_bert_cased_v2
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: populism_classifier_155
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# populism_classifier_155

This model is a fine-tuned version of [AnonymousCS/populism_multilingual_bert_cased_v2](https://huggingface.co/AnonymousCS/populism_multilingual_bert_cased_v2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5242
- Accuracy: 0.9580
- 1-f1: 0.6
- 1-recall: 0.6
- 1-precision: 0.6
- Balanced Acc: 0.7889

## 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: 20
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | 1-f1   | 1-recall | 1-precision | Balanced Acc |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
| 0.3894        | 1.0   | 21   | 0.2502          | 0.9490   | 0.5854 | 0.6857   | 0.5106      | 0.8247       |
| 0.2343        | 2.0   | 42   | 0.2154          | 0.8831   | 0.4583 | 0.9429   | 0.3028      | 0.9113       |
| 0.1673        | 3.0   | 63   | 0.1986          | 0.9460   | 0.625  | 0.8571   | 0.4918      | 0.9040       |
| 0.0636        | 4.0   | 84   | 0.4899          | 0.9625   | 0.6154 | 0.5714   | 0.6667      | 0.7778       |
| 0.0671        | 5.0   | 105  | 0.5242          | 0.9580   | 0.6    | 0.6      | 0.6         | 0.7889       |


### Framework versions

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