---
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_307
  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_307

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: 1.0627
- Accuracy: 0.4973
- 1-f1: 0.2780
- 1-recall: 0.9474
- 1-precision: 0.1629
- Balanced Acc: 0.6967

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
| 0.2722        | 1.0   | 6    | 1.3187          | 0.3737   | 0.2460 | 1.0      | 0.1402      | 0.6512       |
| 0.1927        | 2.0   | 12   | 1.0564          | 0.4032   | 0.2500 | 0.9737   | 0.1434      | 0.6560       |
| 0.1807        | 3.0   | 18   | 1.2731          | 0.3548   | 0.2405 | 1.0      | 0.1367      | 0.6407       |
| 0.1016        | 4.0   | 24   | 1.0000          | 0.4516   | 0.2662 | 0.9737   | 0.1542      | 0.6829       |
| 0.1013        | 5.0   | 30   | 1.3482          | 0.3871   | 0.25   | 1.0      | 0.1429      | 0.6587       |
| 0.0683        | 6.0   | 36   | 1.0627          | 0.4973   | 0.2780 | 0.9474   | 0.1629      | 0.6967       |


### Framework versions

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