---
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_bsample_383
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# populism_classifier_bsample_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: 0.4915
- Accuracy: 0.8839
- 1-f1: 0.3918
- 1-recall: 0.95
- 1-precision: 0.2468
- Balanced Acc: 0.9156

## 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: 32
- eval_batch_size: 32
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
| 0.0075        | 1.0   | 6    | 0.5607          | 0.8307   | 0.3175 | 1.0      | 0.1887      | 0.9119       |
| 0.011         | 2.0   | 12   | 0.4957          | 0.8583   | 0.3571 | 1.0      | 0.2174      | 0.9262       |
| 0.0278        | 3.0   | 18   | 0.3455          | 0.9094   | 0.4390 | 0.9      | 0.2903      | 0.9049       |
| 0.0031        | 4.0   | 24   | 0.3645          | 0.9114   | 0.4578 | 0.95     | 0.3016      | 0.9299       |
| 0.0012        | 5.0   | 30   | 0.4915          | 0.8839   | 0.3918 | 0.95     | 0.2468      | 0.9156       |


### Framework versions

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