---
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_363
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# populism_classifier_363

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: 0.9208
- Accuracy: 0.9610
- 1-f1: 0.5
- 1-recall: 0.3714
- 1-precision: 0.7647
- Balanced Acc: 0.6825

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
| 0.7421        | 1.0   | 42   | 0.5374          | 0.9565   | 0.4314 | 0.3143   | 0.6875      | 0.6532       |
| 0.203         | 2.0   | 84   | 0.3242          | 0.9475   | 0.5783 | 0.6857   | 0.5         | 0.8239       |
| 0.2372        | 3.0   | 126  | 0.4094          | 0.9580   | 0.6216 | 0.6571   | 0.5897      | 0.8159       |
| 0.0244        | 4.0   | 168  | 0.6149          | 0.9535   | 0.5079 | 0.4571   | 0.5714      | 0.7191       |
| 0.047         | 5.0   | 210  | 0.9208          | 0.9610   | 0.5    | 0.3714   | 0.7647      | 0.6825       |


### Framework versions

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