---
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_307
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# populism_classifier_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: 0.6842
- Accuracy: 0.8457
- 1-f1: 0.4043
- 1-recall: 0.5938
- 1-precision: 0.3065
- Balanced Acc: 0.7319

## 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: 128
- eval_batch_size: 128
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
| 0.8296        | 1.0   | 12   | 0.5056          | 0.8430   | 0.4242 | 0.6562   | 0.3134      | 0.7586       |
| 0.4234        | 2.0   | 24   | 0.5349          | 0.8402   | 0.3696 | 0.5312   | 0.2833      | 0.7007       |
| 0.454         | 3.0   | 36   | 0.5004          | 0.8264   | 0.3883 | 0.625    | 0.2817      | 0.7355       |
| 0.1829        | 4.0   | 48   | 0.5396          | 0.8182   | 0.3889 | 0.6562   | 0.2763      | 0.7450       |
| 0.2156        | 5.0   | 60   | 0.6842          | 0.8457   | 0.4043 | 0.5938   | 0.3065      | 0.7319       |


### Framework versions

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