---
library_name: transformers
license: apache-2.0
base_model: AnonymousCS/populism_multilingual_bert_uncased_v2
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: populism_classifier_bsample_180
  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_180

This model is a fine-tuned version of [AnonymousCS/populism_multilingual_bert_uncased_v2](https://huggingface.co/AnonymousCS/populism_multilingual_bert_uncased_v2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6209
- Accuracy: 0.8519
- 1-f1: 0.4375
- 1-recall: 1.0
- 1-precision: 0.28
- Balanced Acc: 0.9214

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
| 0.0568        | 1.0   | 7    | 0.5297          | 0.8333   | 0.4088 | 1.0      | 0.2569      | 0.9116       |
| 0.0433        | 2.0   | 14   | 0.5274          | 0.8436   | 0.4242 | 1.0      | 0.2692      | 0.9170       |
| 0.0254        | 3.0   | 21   | 0.5235          | 0.8580   | 0.448  | 1.0      | 0.2887      | 0.9247       |
| 0.0028        | 4.0   | 28   | 0.6784          | 0.8272   | 0.4    | 1.0      | 0.25        | 0.9083       |
| 0.0289        | 5.0   | 35   | 0.5078          | 0.8642   | 0.45   | 0.9643   | 0.2935      | 0.9112       |
| 0.0283        | 6.0   | 42   | 0.4661          | 0.8868   | 0.4860 | 0.9286   | 0.3291      | 0.9064       |
| 0.0022        | 7.0   | 49   | 0.6075          | 0.8498   | 0.4341 | 1.0      | 0.2772      | 0.9203       |
| 0.0016        | 8.0   | 56   | 0.6209          | 0.8519   | 0.4375 | 1.0      | 0.28        | 0.9214       |


### Framework versions

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