---
library_name: transformers
license: apache-2.0
base_model: AnonymousCS/populism_multilingual_bert_uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: populism_model332
  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_model332

This model is a fine-tuned version of [AnonymousCS/populism_multilingual_bert_uncased](https://huggingface.co/AnonymousCS/populism_multilingual_bert_uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3501
- Accuracy: 0.8182
- 1-f1: 0.8378
- 1-recall: 0.9394
- 1-precision: 0.7561
- Balanced Acc: 0.8182

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.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: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | 1-f1   | 1-recall | 1-precision | Balanced Acc |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
| 0.2145        | 1.0   | 33   | 0.3156          | 0.8485   | 0.8649 | 0.9697   | 0.7805      | 0.8485       |
| 0.2078        | 2.0   | 66   | 0.3509          | 0.8182   | 0.8333 | 0.9091   | 0.7692      | 0.8182       |
| 0.1019        | 3.0   | 99   | 0.3279          | 0.8333   | 0.8533 | 0.9697   | 0.7619      | 0.8333       |
| 0.054         | 4.0   | 132  | 0.4026          | 0.8182   | 0.8333 | 0.9091   | 0.7692      | 0.8182       |
| 0.0359        | 5.0   | 165  | 0.3501          | 0.8182   | 0.8378 | 0.9394   | 0.7561      | 0.8182       |


### Framework versions

- Transformers 4.52.0.dev0
- Pytorch 2.6.0+cu124
- Datasets 2.14.4
- Tokenizers 0.21.1