---
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_341
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# populism_classifier_341

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: 0.5546
- Accuracy: 0.9231
- 1-f1: 0.5806
- 1-recall: 0.72
- 1-precision: 0.4865
- Balanced Acc: 0.8296

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
| 0.2094        | 1.0   | 22   | 0.4014          | 0.7160   | 0.3239 | 0.92     | 0.1966      | 0.8098       |
| 0.8705        | 2.0   | 44   | 0.4109          | 0.7396   | 0.3433 | 0.92     | 0.2110      | 0.8226       |
| 0.2203        | 3.0   | 66   | 0.3762          | 0.8846   | 0.5063 | 0.8      | 0.3704      | 0.8457       |
| 0.0783        | 4.0   | 88   | 0.3670          | 0.9260   | 0.6154 | 0.8      | 0.5         | 0.8681       |
| 0.3877        | 5.0   | 110  | 0.4687          | 0.9201   | 0.5970 | 0.8      | 0.4762      | 0.8649       |
| 0.6251        | 6.0   | 132  | 0.5353          | 0.9408   | 0.6552 | 0.76     | 0.5758      | 0.8576       |
| 0.017         | 7.0   | 154  | 0.5546          | 0.9231   | 0.5806 | 0.72     | 0.4865      | 0.8296       |


### Framework versions

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