---
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_353
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# populism_classifier_353

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: 0.4468
- Accuracy: 0.9263
- 1-f1: 0.5882
- 1-recall: 0.7692
- 1-precision: 0.4762
- Balanced Acc: 0.8535

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
| 0.2098        | 1.0   | 24   | 0.3538          | 0.9237   | 0.6027 | 0.8462   | 0.4681      | 0.8878       |
| 0.3321        | 2.0   | 48   | 0.3210          | 0.9158   | 0.5789 | 0.8462   | 0.44        | 0.8835       |
| 0.0678        | 3.0   | 72   | 0.4057          | 0.9395   | 0.6230 | 0.7308   | 0.5429      | 0.8428       |
| 0.0396        | 4.0   | 96   | 0.5666          | 0.95     | 0.6415 | 0.6538   | 0.6296      | 0.8128       |
| 0.0103        | 5.0   | 120  | 0.4468          | 0.9263   | 0.5882 | 0.7692   | 0.4762      | 0.8535       |


### Framework versions

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