---
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_371
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# populism_classifier_371

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: 0.1698
- Accuracy: 0.9871
- 1-f1: 0.8571
- 1-recall: 0.9375
- 1-precision: 0.7895
- Balanced Acc: 0.9634

## 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: 64
- eval_batch_size: 64
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
| 0.294         | 1.0   | 25   | 0.0684          | 0.9716   | 0.7442 | 1.0      | 0.5926      | 0.9852       |
| 0.0048        | 2.0   | 50   | 0.0581          | 0.9871   | 0.8571 | 0.9375   | 0.7895      | 0.9634       |
| 0.1999        | 3.0   | 75   | 0.3557          | 0.9820   | 0.72   | 0.5625   | 1.0         | 0.7812       |
| 0.0036        | 4.0   | 100  | 0.1983          | 0.9845   | 0.8125 | 0.8125   | 0.8125      | 0.9022       |
| 0.0007        | 5.0   | 125  | 0.1698          | 0.9871   | 0.8571 | 0.9375   | 0.7895      | 0.9634       |


### Framework versions

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