---
library_name: transformers
license: apache-2.0
base_model: AnonymousCS/populism_english_bert_large_cased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: populism_classifier_bsample_333
  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_333

This model is a fine-tuned version of [AnonymousCS/populism_english_bert_large_cased](https://huggingface.co/AnonymousCS/populism_english_bert_large_cased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2211
- Accuracy: 0.6478
- 1-f1: 0.3417
- 1-recall: 0.8947
- 1-precision: 0.2112
- Balanced Acc: 0.7572

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
| 0.0935        | 1.0   | 6    | 1.0473          | 0.6640   | 0.3655 | 0.9474   | 0.2264      | 0.7896       |
| 0.0736        | 2.0   | 12   | 1.0857          | 0.7473   | 0.3896 | 0.7895   | 0.2586      | 0.7660       |
| 0.4208        | 3.0   | 18   | 1.0061          | 0.6398   | 0.3431 | 0.9211   | 0.2108      | 0.7644       |
| 0.0248        | 4.0   | 24   | 1.2302          | 0.5269   | 0.3016 | 1.0      | 0.1776      | 0.7365       |
| 0.0268        | 5.0   | 30   | 0.9745          | 0.6317   | 0.3445 | 0.9474   | 0.2105      | 0.7716       |
| 0.035         | 6.0   | 36   | 1.3112          | 0.5995   | 0.3318 | 0.9737   | 0.2         | 0.7653       |
| 0.0158        | 7.0   | 42   | 1.2211          | 0.6478   | 0.3417 | 0.8947   | 0.2112      | 0.7572       |


### Framework versions

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