---
library_name: transformers
license: apache-2.0
base_model: AnonymousCS/populism_multilingual_bert_uncased_v2
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: populism_classifier_bsample_167
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# populism_classifier_bsample_167

This model is a fine-tuned version of [AnonymousCS/populism_multilingual_bert_uncased_v2](https://huggingface.co/AnonymousCS/populism_multilingual_bert_uncased_v2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3828
- Accuracy: 0.9056
- 1-f1: 0.5273
- 1-recall: 0.9062
- 1-precision: 0.3718
- Balanced Acc: 0.9059

## 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: 32
- eval_batch_size: 32
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
| 0.0543        | 1.0   | 6    | 0.4610          | 0.9310   | 0.5581 | 0.75     | 0.4444      | 0.8461       |
| 0.0721        | 2.0   | 12   | 0.4254          | 0.9201   | 0.5217 | 0.75     | 0.4         | 0.8403       |
| 0.0486        | 3.0   | 18   | 0.4625          | 0.8566   | 0.4476 | 1.0      | 0.2883      | 0.9239       |
| 0.0197        | 4.0   | 24   | 0.3800          | 0.8966   | 0.5289 | 1.0      | 0.3596      | 0.9451       |
| 0.0071        | 5.0   | 30   | 0.3595          | 0.9056   | 0.5094 | 0.8438   | 0.3649      | 0.8766       |
| 0.0302        | 6.0   | 36   | 0.3587          | 0.9038   | 0.5225 | 0.9062   | 0.3671      | 0.9050       |
| 0.0069        | 7.0   | 42   | 0.3618          | 0.9056   | 0.5185 | 0.875    | 0.3684      | 0.8913       |
| 0.0029        | 8.0   | 48   | 0.3828          | 0.9056   | 0.5273 | 0.9062   | 0.3718      | 0.9059       |


### Framework versions

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