---
library_name: transformers
license: apache-2.0
base_model: AnonymousCS/populism_english_bert_large_uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: populism_classifier_389
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# populism_classifier_389

This model is a fine-tuned version of [AnonymousCS/populism_english_bert_large_uncased](https://huggingface.co/AnonymousCS/populism_english_bert_large_uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6768
- Accuracy: 0.9655
- 1-f1: 0.6667
- 1-recall: 0.6571
- 1-precision: 0.6765
- Balanced Acc: 0.8199

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
| 0.5392        | 1.0   | 42   | 0.2240          | 0.9520   | 0.6279 | 0.7714   | 0.5294      | 0.8667       |
| 0.201         | 2.0   | 84   | 0.2291          | 0.9445   | 0.6105 | 0.8286   | 0.4833      | 0.8898       |
| 0.1546        | 3.0   | 126  | 0.5740          | 0.9580   | 0.5758 | 0.5429   | 0.6129      | 0.7619       |
| 0.0014        | 4.0   | 168  | 0.6768          | 0.9655   | 0.6667 | 0.6571   | 0.6765      | 0.8199       |


### Framework versions

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