---
library_name: transformers
license: apache-2.0
base_model: AnonymousCS/populism_multilingual_bert_uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: populism_model016
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# populism_model016

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: 0.5091
- Accuracy: 0.9173
- 1-f1: 0.9176
- 1-recall: 0.9209
- 1-precision: 0.9142
- Balanced Acc: 0.9173

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
| 0.1544        | 1.0   | 684  | 0.2561          | 0.9056   | 0.9082 | 0.9341   | 0.8837      | 0.9057       |
| 0.0954        | 2.0   | 1368 | 0.2810          | 0.9166   | 0.9197 | 0.9561   | 0.8860      | 0.9166       |
| 0.0949        | 3.0   | 2052 | 0.3699          | 0.9195   | 0.9215 | 0.9458   | 0.8985      | 0.9196       |
| 0.0966        | 4.0   | 2736 | 0.5756          | 0.9195   | 0.9185 | 0.9078   | 0.9295      | 0.9195       |
| 0.0051        | 5.0   | 3420 | 0.5091          | 0.9173   | 0.9176 | 0.9209   | 0.9142      | 0.9173       |


### Framework versions

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