---
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_bsample_028
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# populism_classifier_bsample_028

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: 1.0598
- Accuracy: 0.7016
- 1-f1: 0.1333
- 1-recall: 0.7778
- 1-precision: 0.0729
- Balanced Acc: 0.7386

## 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: 32
- eval_batch_size: 32
- 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: 20
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | 1-f1   | 1-recall | 1-precision | Balanced Acc |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
| 0.0957        | 1.0   | 4    | 0.8453          | 0.6918   | 0.1296 | 0.7778   | 0.0707      | 0.7335       |
| 0.0819        | 2.0   | 8    | 0.6691          | 0.7705   | 0.1667 | 0.7778   | 0.0933      | 0.7740       |
| 0.0617        | 3.0   | 12   | 1.3239          | 0.6262   | 0.1231 | 0.8889   | 0.0661      | 0.7536       |
| 0.0725        | 4.0   | 16   | 1.0598          | 0.7016   | 0.1333 | 0.7778   | 0.0729      | 0.7386       |


### Framework versions

- Transformers 4.46.3
- Pytorch 2.4.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3