---
library_name: transformers
license: apache-2.0
base_model: AnonymousCS/populism_english_bert_base_uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: populism_classifier_357
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# populism_classifier_357

This model is a fine-tuned version of [AnonymousCS/populism_english_bert_base_uncased](https://huggingface.co/AnonymousCS/populism_english_bert_base_uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1747
- Accuracy: 0.9814
- 1-f1: 0.7727
- 1-recall: 0.8947
- 1-precision: 0.68
- Balanced Acc: 0.9397

## 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: 64
- eval_batch_size: 64
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
| 0.2952        | 1.0   | 34   | 0.1568          | 0.9796   | 0.7556 | 0.8947   | 0.6538      | 0.9387       |
| 0.0461        | 2.0   | 68   | 0.2817          | 0.9721   | 0.5714 | 0.5263   | 0.625       | 0.7574       |
| 0.0239        | 3.0   | 102  | 0.1524          | 0.9777   | 0.7273 | 0.8421   | 0.64        | 0.9124       |
| 0.0233        | 4.0   | 136  | 0.1413          | 0.9703   | 0.6800 | 0.8947   | 0.5484      | 0.9339       |
| 0.0005        | 5.0   | 170  | 0.3419          | 0.9777   | 0.6667 | 0.6316   | 0.7059      | 0.8110       |
| 0.0005        | 6.0   | 204  | 0.1759          | 0.9814   | 0.7727 | 0.8947   | 0.68        | 0.9397       |
| 0.0004        | 7.0   | 238  | 0.1747          | 0.9814   | 0.7727 | 0.8947   | 0.68        | 0.9397       |


### Framework versions

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