---
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_313
  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_313

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: 0.8345
- Accuracy: 0.7859
- 1-f1: 0.2793
- 1-recall: 0.8692
- 1-precision: 0.1664
- Balanced Acc: 0.8255

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
| 0.267         | 1.0   | 167  | 0.9536          | 0.5141   | 0.1607 | 0.9744   | 0.0875      | 0.7327       |
| 0.192         | 2.0   | 334  | 0.7404          | 0.6387   | 0.2022 | 0.9594   | 0.1130      | 0.7910       |
| 0.2035        | 3.0   | 501  | 0.7380          | 0.6839   | 0.2191 | 0.9293   | 0.1242      | 0.8004       |
| 0.1523        | 4.0   | 668  | 0.7101          | 0.7489   | 0.2573 | 0.9113   | 0.1498      | 0.8260       |
| 0.0322        | 5.0   | 835  | 0.7723          | 0.7731   | 0.2742 | 0.8977   | 0.1618      | 0.8323       |
| 0.0303        | 6.0   | 1002 | 0.8345          | 0.7859   | 0.2793 | 0.8692   | 0.1664      | 0.8255       |


### Framework versions

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