---
library_name: transformers
license: apache-2.0
base_model: AnonymousCS/populism_english_bert_base_uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: populism_classifier_bsample_364
  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_364

This model is a fine-tuned version of [AnonymousCS/populism_english_bert_base_uncased](https://huggingface.co/AnonymousCS/populism_english_bert_base_uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9024
- Accuracy: 0.7466
- 1-f1: 0.2697
- 1-recall: 0.8889
- 1-precision: 0.1589
- Balanced Acc: 0.8138

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
| 0.0753        | 1.0   | 8    | 1.3891          | 0.5029   | 0.1694 | 0.9630   | 0.0929      | 0.7202       |
| 0.0897        | 2.0   | 16   | 0.9531          | 0.6628   | 0.2242 | 0.9259   | 0.1276      | 0.7870       |
| 0.0263        | 3.0   | 24   | 0.8116          | 0.7427   | 0.2584 | 0.8519   | 0.1523      | 0.7942       |
| 0.0245        | 4.0   | 32   | 1.0668          | 0.6647   | 0.2182 | 0.8889   | 0.1244      | 0.7706       |
| 0.0491        | 5.0   | 40   | 0.7283          | 0.7973   | 0.3067 | 0.8519   | 0.1870      | 0.8230       |
| 0.0139        | 6.0   | 48   | 0.9519          | 0.7290   | 0.2567 | 0.8889   | 0.15        | 0.8045       |
| 0.0091        | 7.0   | 56   | 0.9024          | 0.7466   | 0.2697 | 0.8889   | 0.1589      | 0.8138       |


### Framework versions

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