---
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_model73
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# populism_model73

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: 0.4106
- Accuracy: 0.9221
- F1: 0.4722
- Recall: 0.7391
- Precision: 0.3469

## 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   | 0.2425          | 0.9098   | 0.45   | 0.7826 | 0.3158    |
| No log        | 2.0   | 32   | 0.3190          | 0.8709   | 0.3883 | 0.8696 | 0.25      |
| No log        | 3.0   | 48   | 0.4027          | 0.9385   | 0.5161 | 0.6957 | 0.4103    |
| 0.2109        | 4.0   | 64   | 0.3850          | 0.9180   | 0.4595 | 0.7391 | 0.3333    |
| 0.2109        | 5.0   | 80   | 0.4106          | 0.9221   | 0.4722 | 0.7391 | 0.3469    |


### Framework versions

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