---
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_036
  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_036

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: 0.8271
- Accuracy: 0.9752
- 1-f1: 0.4615
- 1-recall: 0.3103
- 1-precision: 0.9
- Balanced Acc: 0.6546

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
| 0.6528        | 1.0   | 53   | 0.2611          | 0.9741   | 0.5926 | 0.5517   | 0.64        | 0.7704       |
| 0.0825        | 2.0   | 106  | 0.2090          | 0.9741   | 0.6333 | 0.6552   | 0.6129      | 0.8203       |
| 0.0578        | 3.0   | 159  | 0.3130          | 0.9752   | 0.6316 | 0.6207   | 0.6429      | 0.8042       |
| 0.0019        | 4.0   | 212  | 0.8271          | 0.9752   | 0.4615 | 0.3103   | 0.9         | 0.6546       |


### Framework versions

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