---
library_name: transformers
license: apache-2.0
base_model: AnonymousCS/populism_multilingual_bert
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: populism_model84
  results: []
---

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# populism_model84

This model is a fine-tuned version of [AnonymousCS/populism_multilingual_bert](https://huggingface.co/AnonymousCS/populism_multilingual_bert) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3911
- Accuracy: 0.8900
- 1-f1: 0.3766
- 1-recall: 0.6824
- 1-precision: 0.2601
- Balanced Acc: 0.7915

## 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 | 1-f1   | 1-recall | 1-precision | Balanced Acc |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
| 0.4017        | 1.0   | 55   | 0.5841          | 0.9318   | 0.3568 | 0.3882   | 0.33        | 0.6739       |
| 0.3879        | 2.0   | 110  | 0.4155          | 0.7175   | 0.2404 | 0.9176   | 0.1383      | 0.8124       |
| 0.2972        | 3.0   | 165  | 0.3709          | 0.8636   | 0.3636 | 0.8      | 0.2353      | 0.8334       |
| 0.2547        | 4.0   | 220  | 0.3852          | 0.8791   | 0.3625 | 0.7059   | 0.2439      | 0.7969       |
| 0.2092        | 5.0   | 275  | 0.3911          | 0.8900   | 0.3766 | 0.6824   | 0.2601      | 0.7915       |


### Framework versions

- Transformers 4.48.0.dev0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0