---
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_360
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# populism_classifier_360

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: 1.2510
- Accuracy: 0.9634
- 1-f1: 0.3
- 1-recall: 0.1875
- 1-precision: 0.75
- Balanced Acc: 0.5924

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
| 0.3676        | 1.0   | 24   | 0.5290          | 0.9581   | 0.2727 | 0.1875   | 0.5         | 0.5897       |
| 0.1647        | 2.0   | 48   | 0.6139          | 0.9581   | 0.2727 | 0.1875   | 0.5         | 0.5897       |
| 0.1676        | 3.0   | 72   | 0.5173          | 0.9503   | 0.4242 | 0.4375   | 0.4118      | 0.7051       |
| 0.0549        | 4.0   | 96   | 1.1376          | 0.9581   | 0.2    | 0.125    | 0.5         | 0.5598       |
| 0.0569        | 5.0   | 120  | 0.8185          | 0.9424   | 0.3125 | 0.3125   | 0.3125      | 0.6412       |
| 0.0299        | 6.0   | 144  | 1.2510          | 0.9634   | 0.3    | 0.1875   | 0.75        | 0.5924       |


### Framework versions

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