---
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_380
  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_380

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: 0.8668
- Accuracy: 0.75
- 1-f1: 0.4274
- 1-recall: 1.0
- 1-precision: 0.2717
- Balanced Acc: 0.8621

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
| 0.0208        | 1.0   | 4    | 0.7079          | 0.7276   | 0.4065 | 1.0      | 0.2551      | 0.8498       |
| 0.0044        | 2.0   | 8    | 0.6356          | 0.7724   | 0.4505 | 1.0      | 0.2907      | 0.8745       |
| 0.0207        | 3.0   | 12   | 0.5257          | 0.8097   | 0.4848 | 0.96     | 0.3243      | 0.8771       |
| 0.0037        | 4.0   | 16   | 0.6703          | 0.7836   | 0.4630 | 1.0      | 0.3012      | 0.8807       |
| 0.0159        | 5.0   | 20   | 0.8668          | 0.75     | 0.4274 | 1.0      | 0.2717      | 0.8621       |


### Framework versions

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