---
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_model55
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# populism_model55

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: 0.4615
- Accuracy: 0.9019
- F1: 0.4511
- Recall: 0.6570
- Precision: 0.3435

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:------:|:---------:|
| 0.6332        | 1.0   | 88   | 0.4366          | 0.8416   | 0.3490 | 0.6919 | 0.2333    |
| 0.3774        | 2.0   | 176  | 0.3717          | 0.8741   | 0.4126 | 0.7209 | 0.2890    |
| 0.3284        | 3.0   | 264  | 0.3716          | 0.8787   | 0.4198 | 0.7151 | 0.2971    |
| 0.2612        | 4.0   | 352  | 0.4523          | 0.9087   | 0.4386 | 0.5814 | 0.3521    |
| 0.2422        | 5.0   | 440  | 0.4615          | 0.9019   | 0.4511 | 0.6570 | 0.3435    |


### Framework versions

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