---
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_364
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# populism_classifier_364

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: 0.5950
- Accuracy: 0.9229
- 1-f1: 0.5366
- 1-recall: 0.7097
- 1-precision: 0.4314
- Balanced Acc: 0.8235

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
| 0.2096        | 1.0   | 31   | 0.4210          | 0.9148   | 0.5    | 0.6774   | 0.3962      | 0.8041       |
| 0.2905        | 2.0   | 62   | 0.4333          | 0.9108   | 0.4884 | 0.6774   | 0.3818      | 0.8019       |
| 0.165         | 3.0   | 93   | 0.4811          | 0.8803   | 0.4486 | 0.7742   | 0.3158      | 0.8308       |
| 0.031         | 4.0   | 124  | 0.5950          | 0.9229   | 0.5366 | 0.7097   | 0.4314      | 0.8235       |


### Framework versions

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