---
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_bsample_006
  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_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: 0.6653
- Accuracy: 0.7670
- 1-f1: 0.3422
- 1-recall: 0.9697
- 1-precision: 0.2078
- Balanced Acc: 0.8616

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
| 0.0839        | 1.0   | 8    | 0.5656          | 0.8428   | 0.4113 | 0.8788   | 0.2685      | 0.8596       |
| 0.2849        | 2.0   | 16   | 0.4791          | 0.8390   | 0.4138 | 0.9091   | 0.2679      | 0.8717       |
| 0.0607        | 3.0   | 24   | 0.6395          | 0.7405   | 0.3184 | 0.9697   | 0.1905      | 0.8475       |
| 0.049         | 4.0   | 32   | 0.6653          | 0.7670   | 0.3422 | 0.9697   | 0.2078      | 0.8616       |


### Framework versions

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