---
library_name: transformers
license: apache-2.0
base_model: AnonymousCS/populism_english_bert_large_uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: populism_classifier_bsample_389
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# populism_classifier_bsample_389

This model is a fine-tuned version of [AnonymousCS/populism_english_bert_large_uncased](https://huggingface.co/AnonymousCS/populism_english_bert_large_uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1594
- Accuracy: 0.7817
- 1-f1: 0.2814
- 1-recall: 0.7568
- 1-precision: 0.1728
- Balanced Acc: 0.7700

## 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: 32
- eval_batch_size: 32
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
| 0.2181        | 1.0   | 9    | 1.0902          | 0.6947   | 0.2424 | 0.8649   | 0.1410      | 0.7747       |
| 0.0638        | 2.0   | 18   | 0.6947          | 0.7664   | 0.2884 | 0.8378   | 0.1742      | 0.8000       |
| 0.0149        | 3.0   | 27   | 0.9832          | 0.7969   | 0.2732 | 0.6757   | 0.1712      | 0.7399       |
| 0.0033        | 4.0   | 36   | 1.1594          | 0.7817   | 0.2814 | 0.7568   | 0.1728      | 0.7700       |


### Framework versions

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