---
library_name: transformers
license: apache-2.0
base_model: google-bert/bert-base-multilingual-cased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: populism_classifier_006
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# populism_classifier_006

This model is a fine-tuned version of [google-bert/bert-base-multilingual-cased](https://huggingface.co/google-bert/bert-base-multilingual-cased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4929
- Accuracy: 0.9297
- 1-f1: 0.5135
- 1-recall: 0.5758
- 1-precision: 0.4634
- Balanced Acc: 0.7649

## 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 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
| 0.3634        | 1.0   | 16   | 0.2085          | 0.8848   | 0.5203 | 0.9697   | 0.3556      | 0.9243       |
| 0.2717        | 2.0   | 32   | 0.1999          | 0.9102   | 0.5818 | 0.9697   | 0.4156      | 0.9379       |
| 0.1975        | 3.0   | 48   | 0.3567          | 0.9395   | 0.5753 | 0.6364   | 0.525       | 0.7983       |
| 0.0682        | 4.0   | 64   | 0.4929          | 0.9297   | 0.5135 | 0.5758   | 0.4634      | 0.7649       |


### Framework versions

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