---
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_model62
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# populism_model62

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: 0.4574
- Accuracy: 0.9280
- F1: 0.5455
- Recall: 0.6562
- Precision: 0.4667

## 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   | 16   | 0.4341          | 0.9280   | 0.4068 | 0.375  | 0.4444    |
| No log        | 2.0   | 32   | 0.2709          | 0.9012   | 0.5294 | 0.8438 | 0.3857    |
| No log        | 3.0   | 48   | 0.2977          | 0.8971   | 0.5098 | 0.8125 | 0.3714    |
| 0.264         | 4.0   | 64   | 0.4169          | 0.9177   | 0.5122 | 0.6562 | 0.42      |
| 0.264         | 5.0   | 80   | 0.4574          | 0.9280   | 0.5455 | 0.6562 | 0.4667    |


### Framework versions

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