---
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_157
  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_157

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: 0.5646
- Accuracy: 0.8478
- 1-f1: 0.3659
- 1-recall: 0.9203
- 1-precision: 0.2284
- Balanced Acc: 0.8822

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
| 0.1677        | 1.0   | 167  | 0.8171          | 0.6118   | 0.1954 | 0.9880   | 0.1085      | 0.7905       |
| 0.0817        | 2.0   | 334  | 0.5852          | 0.7337   | 0.2574 | 0.9669   | 0.1485      | 0.8445       |
| 0.1066        | 3.0   | 501  | 0.6588          | 0.7424   | 0.2656 | 0.9759   | 0.1537      | 0.8533       |
| 0.104         | 4.0   | 668  | 0.5004          | 0.8377   | 0.3490 | 0.9113   | 0.2158      | 0.8727       |
| 0.0466        | 5.0   | 835  | 0.5637          | 0.8305   | 0.3453 | 0.9368   | 0.2117      | 0.8810       |
| 0.0349        | 6.0   | 1002 | 0.5646          | 0.8478   | 0.3659 | 0.9203   | 0.2284      | 0.8822       |


### Framework versions

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