---
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_355
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# populism_classifier_355

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: 1.0070
- Accuracy: 0.9568
- 1-f1: 0.4878
- 1-recall: 0.3571
- 1-precision: 0.7692
- Balanced Acc: 0.6753

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
| 0.3888        | 1.0   | 31   | 0.3173          | 0.9609   | 0.6122 | 0.5357   | 0.7143      | 0.7613       |
| 0.1127        | 2.0   | 62   | 0.1631          | 0.9568   | 0.7200 | 0.9643   | 0.5745      | 0.9603       |
| 0.1928        | 3.0   | 93   | 0.2718          | 0.9547   | 0.6333 | 0.6786   | 0.5938      | 0.8251       |
| 0.2627        | 4.0   | 124  | 0.4180          | 0.9650   | 0.6909 | 0.6786   | 0.7037      | 0.8306       |
| 0.0078        | 5.0   | 155  | 1.0070          | 0.9568   | 0.4878 | 0.3571   | 0.7692      | 0.6753       |


### Framework versions

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