---
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_144
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# populism_classifier_144

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: 0.2996
- Accuracy: 0.9904
- 1-f1: 0.8224
- 1-recall: 0.7719
- 1-precision: 0.88
- Balanced Acc: 0.8844

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
| 0.3457        | 1.0   | 62   | 0.2102          | 0.9838   | 0.6981 | 0.6491   | 0.7551      | 0.8214       |
| 0.0606        | 2.0   | 124  | 0.2551          | 0.9868   | 0.7547 | 0.7018   | 0.8163      | 0.8485       |
| 0.0061        | 3.0   | 186  | 0.2000          | 0.9889   | 0.8070 | 0.8070   | 0.8070      | 0.9006       |
| 0.0005        | 4.0   | 248  | 0.2225          | 0.9924   | 0.8598 | 0.8070   | 0.92        | 0.9025       |
| 0.0016        | 5.0   | 310  | 0.1739          | 0.9889   | 0.8036 | 0.7895   | 0.8182      | 0.8921       |
| 0.057         | 6.0   | 372  | 0.3100          | 0.9919   | 0.8462 | 0.7719   | 0.9362      | 0.8852       |
| 0.1151        | 7.0   | 434  | 0.2996          | 0.9904   | 0.8224 | 0.7719   | 0.88        | 0.8844       |


### Framework versions

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