---
library_name: transformers
license: apache-2.0
base_model: AnonymousCS/populism_english_bert_large_cased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: populism_classifier_326
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# populism_classifier_326

This model is a fine-tuned version of [AnonymousCS/populism_english_bert_large_cased](https://huggingface.co/AnonymousCS/populism_english_bert_large_cased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2419
- Accuracy: 0.9929
- 1-f1: 0.8727
- 1-recall: 0.8421
- 1-precision: 0.9057
- Balanced Acc: 0.9197

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
| 0.1833        | 1.0   | 124  | 0.1742          | 0.9590   | 0.5091 | 0.7368   | 0.3889      | 0.8512       |
| 0.1031        | 2.0   | 248  | 0.1743          | 0.9833   | 0.7130 | 0.7193   | 0.7069      | 0.8552       |
| 0.0298        | 3.0   | 372  | 0.1666          | 0.9848   | 0.7458 | 0.7719   | 0.7213      | 0.8815       |
| 0.0065        | 4.0   | 496  | 0.2741          | 0.9889   | 0.78   | 0.6842   | 0.9070      | 0.8411       |
| 0.0008        | 5.0   | 620  | 0.1625          | 0.9899   | 0.8246 | 0.8246   | 0.8246      | 0.9097       |
| 0.0109        | 6.0   | 744  | 0.2292          | 0.9924   | 0.8649 | 0.8421   | 0.8889      | 0.9195       |
| 0.0002        | 7.0   | 868  | 0.2173          | 0.9904   | 0.8348 | 0.8421   | 0.8276      | 0.9184       |
| 0.0007        | 8.0   | 992  | 0.2419          | 0.9929   | 0.8727 | 0.8421   | 0.9057      | 0.9197       |


### Framework versions

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