---
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_148
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# populism_classifier_148

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: 0.2107
- Accuracy: 0.9832
- 1-f1: 0.8444
- 1-recall: 0.8636
- 1-precision: 0.8261
- Balanced Acc: 0.9267

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
| 0.2092        | 1.0   | 13   | 0.1390          | 0.9159   | 0.5570 | 1.0      | 0.3860      | 0.9556       |
| 0.1047        | 2.0   | 26   | 0.1211          | 0.9399   | 0.6377 | 1.0      | 0.4681      | 0.9683       |
| 0.035         | 3.0   | 39   | 0.1102          | 0.9688   | 0.7636 | 0.9545   | 0.6364      | 0.9620       |
| 0.0368        | 4.0   | 52   | 0.1452          | 0.9784   | 0.8163 | 0.9091   | 0.7407      | 0.9457       |
| 0.0269        | 5.0   | 65   | 0.2107          | 0.9832   | 0.8444 | 0.8636   | 0.8261      | 0.9267       |


### Framework versions

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