---
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_134
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# populism_classifier_134

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: 0.3076
- Accuracy: 0.9861
- 1-f1: 0.4681
- 1-recall: 0.3667
- 1-precision: 0.6471
- Balanced Acc: 0.6816

## 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: 128
- eval_batch_size: 128
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
| 0.3127        | 1.0   | 57   | 0.1542          | 0.9861   | 0.6154 | 0.6667   | 0.5714      | 0.8291       |
| 0.0751        | 2.0   | 114  | 0.1259          | 0.9705   | 0.4646 | 0.7667   | 0.3333      | 0.8703       |
| 0.0661        | 3.0   | 171  | 0.1418          | 0.9772   | 0.5060 | 0.7      | 0.3962      | 0.8409       |
| 0.0165        | 4.0   | 228  | 0.3076          | 0.9861   | 0.4681 | 0.3667   | 0.6471      | 0.6816       |


### Framework versions

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