---
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_384
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# populism_classifier_384

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: 1.0186
- Accuracy: 0.9242
- 1-f1: 0.6939
- 1-recall: 0.68
- 1-precision: 0.7083
- Balanced Acc: 0.8198

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
| 0.2861        | 1.0   | 13   | 0.2754          | 0.9444   | 0.8070 | 0.92     | 0.7188      | 0.9340       |
| 0.1595        | 2.0   | 26   | 0.4049          | 0.9141   | 0.6667 | 0.68     | 0.6538      | 0.8140       |
| 0.0221        | 3.0   | 39   | 0.2617          | 0.9293   | 0.7667 | 0.92     | 0.6571      | 0.9253       |
| 0.0137        | 4.0   | 52   | 0.7342          | 0.9293   | 0.72   | 0.72     | 0.72        | 0.8398       |
| 0.0045        | 5.0   | 65   | 1.1117          | 0.9192   | 0.68   | 0.68     | 0.68        | 0.8169       |
| 0.0018        | 6.0   | 78   | 1.0186          | 0.9242   | 0.6939 | 0.68     | 0.7083      | 0.8198       |


### Framework versions

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