---
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_288
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# populism_classifier_bsample_288

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: 1.5732
- Accuracy: 0.3541
- 1-f1: 0.0837
- 1-recall: 1.0
- 1-precision: 0.0437
- Balanced Acc: 0.6672

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
| 0.2947        | 1.0   | 4    | 1.8268          | 0.2066   | 0.0692 | 1.0      | 0.0359      | 0.5912       |
| 0.319         | 2.0   | 8    | 1.9775          | 0.2262   | 0.0709 | 1.0      | 0.0367      | 0.6014       |
| 0.2726        | 3.0   | 12   | 1.5093          | 0.3410   | 0.0822 | 1.0      | 0.0429      | 0.6605       |
| 0.2928        | 4.0   | 16   | 1.8543          | 0.2393   | 0.072  | 1.0      | 0.0373      | 0.6081       |
| 0.1903        | 5.0   | 20   | 1.3790          | 0.3574   | 0.0841 | 1.0      | 0.0439      | 0.6689       |
| 0.1635        | 6.0   | 24   | 2.0319          | 0.2361   | 0.0717 | 1.0      | 0.0372      | 0.6064       |
| 0.2259        | 7.0   | 28   | 1.5732          | 0.3541   | 0.0837 | 1.0      | 0.0437      | 0.6672       |


### Framework versions

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