---
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_model77
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# populism_model77

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: 0.6334
- Accuracy: 0.9210
- F1: 0.2947
- Recall: 0.4375
- Precision: 0.2222

## 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   | 27   | 0.3886          | 0.8762   | 0.2759 | 0.625  | 0.1770    |
| 0.3981        | 2.0   | 54   | 0.4590          | 0.9328   | 0.2963 | 0.375  | 0.2449    |
| 0.3981        | 3.0   | 81   | 0.5274          | 0.9104   | 0.2692 | 0.4375 | 0.1944    |
| 0.1863        | 4.0   | 108  | 0.5875          | 0.9175   | 0.3    | 0.4688 | 0.2206    |
| 0.1863        | 5.0   | 135  | 0.6334          | 0.9210   | 0.2947 | 0.4375 | 0.2222    |


### Framework versions

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