---
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_model30
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# populism_model30

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: 0.4810
- Accuracy: 0.9371
- F1: 0.5695
- Recall: 0.6774
- Precision: 0.4912

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:------:|:---------:|
| 0.3071        | 1.0   | 64   | 0.2776          | 0.8791   | 0.4719 | 0.8790 | 0.3225    |
| 0.2426        | 2.0   | 128  | 0.3367          | 0.9163   | 0.5185 | 0.7339 | 0.4009    |
| 0.1849        | 3.0   | 192  | 0.3548          | 0.9193   | 0.5303 | 0.7419 | 0.4126    |
| 0.1308        | 4.0   | 256  | 0.4400          | 0.9336   | 0.5592 | 0.6855 | 0.4722    |
| 0.1056        | 5.0   | 320  | 0.4810          | 0.9371   | 0.5695 | 0.6774 | 0.4912    |


### Framework versions

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