---
library_name: transformers
license: apache-2.0
base_model: AnonymousCS/populism_multilingual_bert
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- recall
- precision
model-index:
- name: populism_model28
  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_model28

This model is a fine-tuned version of [AnonymousCS/populism_multilingual_bert](https://huggingface.co/AnonymousCS/populism_multilingual_bert) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4426
- Accuracy: 0.9204
- F1: 0.4943
- Recall: 0.6337
- Precision: 0.4052

## 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: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Recall | Precision |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:------:|:---------:|
| 0.5546        | 1.0   | 88   | 0.4400          | 0.8873   | 0.4015 | 0.6163 | 0.2978    |
| 0.3532        | 2.0   | 176  | 0.4000          | 0.9219   | 0.4672 | 0.5581 | 0.4017    |
| 0.2932        | 3.0   | 264  | 0.3958          | 0.9090   | 0.4807 | 0.6860 | 0.3699    |
| 0.224         | 4.0   | 352  | 0.4125          | 0.9144   | 0.4979 | 0.6919 | 0.3889    |
| 0.2034        | 5.0   | 440  | 0.4426          | 0.9204   | 0.4943 | 0.6337 | 0.4052    |


### Framework versions

- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0