---
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_bsample_339
  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_339

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: 0.8834
- Accuracy: 0.7012
- 1-f1: 0.2232
- 1-recall: 0.8992
- 1-precision: 0.1274
- Balanced Acc: 0.7953

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
| 0.2623        | 1.0   | 167  | 1.0855          | 0.4329   | 0.1420 | 0.9835   | 0.0765      | 0.6944       |
| 0.1785        | 2.0   | 334  | 0.9577          | 0.5477   | 0.1708 | 0.9759   | 0.0936      | 0.7511       |
| 0.1835        | 3.0   | 501  | 1.1653          | 0.5499   | 0.1713 | 0.9744   | 0.0939      | 0.7516       |
| 0.1253        | 4.0   | 668  | 0.8360          | 0.7060   | 0.2263 | 0.9008   | 0.1294      | 0.7985       |
| 0.1044        | 5.0   | 835  | 1.0723          | 0.6418   | 0.2003 | 0.9398   | 0.1121      | 0.7834       |
| 0.0655        | 6.0   | 1002 | 0.8834          | 0.7012   | 0.2232 | 0.8992   | 0.1274      | 0.7953       |


### Framework versions

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