---
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_383
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# populism_classifier_383

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: 0.3749
- Accuracy: 0.9870
- 1-f1: 0.7879
- 1-recall: 0.6842
- 1-precision: 0.9286
- Balanced Acc: 0.8411

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
| 0.0931        | 1.0   | 34   | 0.1639          | 0.9833   | 0.7568 | 0.7368   | 0.7778      | 0.8646       |
| 0.0131        | 2.0   | 68   | 0.1420          | 0.9833   | 0.7805 | 0.8421   | 0.7273      | 0.9153       |
| 0.4398        | 3.0   | 102  | 0.1904          | 0.9907   | 0.8649 | 0.8421   | 0.8889      | 0.9191       |
| 0.0105        | 4.0   | 136  | 0.2434          | 0.9870   | 0.8000 | 0.7368   | 0.875       | 0.8665       |
| 0.0003        | 5.0   | 170  | 0.3749          | 0.9870   | 0.7879 | 0.6842   | 0.9286      | 0.8411       |


### Framework versions

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