---
library_name: transformers
license: apache-2.0
base_model: AnonymousCS/populism_english_bert_base_cased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: populism_classifier_299
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# populism_classifier_299

This model is a fine-tuned version of [AnonymousCS/populism_english_bert_base_cased](https://huggingface.co/AnonymousCS/populism_english_bert_base_cased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4699
- Accuracy: 0.9378
- 1-f1: 0.4138
- 1-recall: 0.5217
- 1-precision: 0.3429
- Balanced Acc: 0.7389

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
| 0.404         | 1.0   | 18   | 0.2761          | 0.8519   | 0.3415 | 0.9130   | 0.21        | 0.8811       |
| 0.214         | 2.0   | 36   | 0.2992          | 0.9397   | 0.4590 | 0.6087   | 0.3684      | 0.7814       |
| 0.241         | 3.0   | 54   | 0.2741          | 0.9141   | 0.4598 | 0.8696   | 0.3125      | 0.8928       |
| 0.2157        | 4.0   | 72   | 0.3080          | 0.9269   | 0.4737 | 0.7826   | 0.3396      | 0.8579       |
| 0.0794        | 5.0   | 90   | 0.4699          | 0.9378   | 0.4138 | 0.5217   | 0.3429      | 0.7389       |


### Framework versions

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