---
library_name: transformers
license: apache-2.0
base_model: google-bert/bert-base-multilingual-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: populism_classifier_031
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# populism_classifier_031

This model is a fine-tuned version of [google-bert/bert-base-multilingual-uncased](https://huggingface.co/google-bert/bert-base-multilingual-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7081
- Accuracy: 0.9697
- 1-f1: 0.6286
- 1-recall: 0.4583
- 1-precision: 1.0
- Balanced Acc: 0.7292

## 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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 20
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | 1-f1   | 1-recall | 1-precision | Balanced Acc |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
| 0.2455        | 1.0   | 27   | 0.2900          | 0.9604   | 0.6531 | 0.6667   | 0.64        | 0.8222       |
| 0.1947        | 2.0   | 54   | 0.2861          | 0.9441   | 0.6    | 0.75     | 0.5         | 0.8528       |
| 0.1376        | 3.0   | 81   | 0.3362          | 0.9510   | 0.6441 | 0.7917   | 0.5429      | 0.8761       |
| 0.2072        | 4.0   | 108  | 0.7081          | 0.9697   | 0.6286 | 0.4583   | 1.0         | 0.7292       |


### Framework versions

- Transformers 4.56.0.dev0
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.21.4