---
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_140
  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_140

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: 0.7158
- Accuracy: 0.8657
- 1-f1: 0.2642
- 1-recall: 0.84
- 1-precision: 0.1567
- Balanced Acc: 0.8532

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
| 0.0246        | 1.0   | 9    | 0.6186          | 0.8473   | 0.2400 | 0.84     | 0.14        | 0.8438       |
| 0.0605        | 2.0   | 18   | 0.7402          | 0.8266   | 0.2256 | 0.88     | 0.1294      | 0.8525       |
| 0.0036        | 3.0   | 27   | 0.5000          | 0.8955   | 0.3158 | 0.84     | 0.1944      | 0.8686       |
| 0.0333        | 4.0   | 36   | 0.8129          | 0.8312   | 0.2383 | 0.92     | 0.1369      | 0.8743       |
| 0.0009        | 5.0   | 45   | 0.7158          | 0.8657   | 0.2642 | 0.84     | 0.1567      | 0.8532       |


### Framework versions

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