---
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_model65
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# populism_model65

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: 0.3205
- Accuracy: 0.9423
- F1: 0.5385
- Recall: 0.7368
- Precision: 0.4242

## 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   | 13   | 0.2094          | 0.9351   | 0.5263 | 0.7895 | 0.3947    |
| No log        | 2.0   | 26   | 0.2631          | 0.9207   | 0.4762 | 0.7895 | 0.3409    |
| No log        | 3.0   | 39   | 0.2801          | 0.9375   | 0.5185 | 0.7368 | 0.4       |
| 0.2087        | 4.0   | 52   | 0.4120          | 0.9543   | 0.5366 | 0.5789 | 0.5       |
| 0.2087        | 5.0   | 65   | 0.3205          | 0.9423   | 0.5385 | 0.7368 | 0.4242    |


### Framework versions

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