---
library_name: transformers
license: apache-2.0
base_model: AnonymousCS/populism_multilingual_bert_cased_v2
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: populism_classifier_bsample_152
  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_152

This model is a fine-tuned version of [AnonymousCS/populism_multilingual_bert_cased_v2](https://huggingface.co/AnonymousCS/populism_multilingual_bert_cased_v2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7980
- Accuracy: 0.8034
- 1-f1: 0.2593
- 1-recall: 0.875
- 1-precision: 0.1522
- Balanced Acc: 0.8378

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
| 0.0539        | 1.0   | 4    | 0.7114          | 0.7690   | 0.2419 | 0.9375   | 0.1389      | 0.8498       |
| 0.0553        | 2.0   | 8    | 0.9362          | 0.7174   | 0.2069 | 0.9375   | 0.1163      | 0.8230       |
| 0.0794        | 3.0   | 12   | 0.4918          | 0.8550   | 0.3059 | 0.8125   | 0.1884      | 0.8346       |
| 0.0098        | 4.0   | 16   | 0.6039          | 0.8526   | 0.3023 | 0.8125   | 0.1857      | 0.8334       |
| 0.0111        | 5.0   | 20   | 0.7980          | 0.8034   | 0.2593 | 0.875    | 0.1522      | 0.8378       |


### Framework versions

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