---
library_name: transformers
license: mit
base_model: AnonymousCS/populism_multilingual_roberta_base
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- recall
- precision
model-index:
- name: populism_model89
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# populism_model89

This model is a fine-tuned version of [AnonymousCS/populism_multilingual_roberta_base](https://huggingface.co/AnonymousCS/populism_multilingual_roberta_base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2660
- Accuracy: 0.9556
- F1: 0.6102
- Recall: 0.8182
- Precision: 0.4865

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:------:|:---------:|
| No log        | 1.0   | 17   | 0.2045          | 0.9479   | 0.5714 | 0.8182 | 0.4390    |
| No log        | 2.0   | 34   | 0.2149          | 0.9324   | 0.5205 | 0.8636 | 0.3725    |
| 0.2598        | 3.0   | 51   | 0.2412          | 0.9479   | 0.5714 | 0.8182 | 0.4390    |
| 0.2598        | 4.0   | 68   | 0.2624          | 0.9305   | 0.5    | 0.8182 | 0.36      |
| 0.2598        | 5.0   | 85   | 0.2660          | 0.9556   | 0.6102 | 0.8182 | 0.4865    |


### Framework versions

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