---
library_name: transformers
license: apache-2.0
base_model: AnonymousCS/populism_english_bert_base_cased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: populism_classifier_bsample_311
  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_311

This model is a fine-tuned version of [AnonymousCS/populism_english_bert_base_cased](https://huggingface.co/AnonymousCS/populism_english_bert_base_cased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9230
- Accuracy: 0.8443
- 1-f1: 0.2917
- 1-recall: 0.5676
- 1-precision: 0.1963
- Balanced Acc: 0.7142

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
| 0.1263        | 1.0   | 9    | 0.9714          | 0.6580   | 0.2113 | 0.8108   | 0.1215      | 0.7298       |
| 0.0912        | 2.0   | 18   | 0.8500          | 0.6916   | 0.2171 | 0.7568   | 0.1267      | 0.7222       |
| 0.0552        | 3.0   | 27   | 1.1121          | 0.6015   | 0.1920 | 0.8378   | 0.1084      | 0.7126       |
| 0.1296        | 4.0   | 36   | 0.8318          | 0.8519   | 0.3022 | 0.5676   | 0.2059      | 0.7182       |
| 0.0362        | 5.0   | 45   | 1.1942          | 0.6244   | 0.2013 | 0.8378   | 0.1144      | 0.7247       |
| 0.0666        | 6.0   | 54   | 0.9230          | 0.8443   | 0.2917 | 0.5676   | 0.1963      | 0.7142       |


### Framework versions

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