---
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_153
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# populism_classifier_153

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: 0.7833
- Accuracy: 0.9388
- 1-f1: 0.5652
- 1-recall: 0.5
- 1-precision: 0.65
- Balanced Acc: 0.7384

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
| 0.3648        | 1.0   | 11   | 0.4142          | 0.9297   | 0.6230 | 0.7308   | 0.5429      | 0.8388       |
| 0.0867        | 2.0   | 22   | 0.5992          | 0.9388   | 0.5455 | 0.4615   | 0.6667      | 0.7208       |
| 0.1632        | 3.0   | 33   | 0.2104          | 0.9235   | 0.6479 | 0.8846   | 0.5111      | 0.9058       |
| 0.07          | 4.0   | 44   | 0.4291          | 0.9358   | 0.6038 | 0.6154   | 0.5926      | 0.7894       |
| 0.0382        | 5.0   | 55   | 0.7833          | 0.9388   | 0.5652 | 0.5      | 0.65        | 0.7384       |


### Framework versions

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