---
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_376
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# populism_classifier_376

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: 0.3595
- Accuracy: 0.9851
- 1-f1: 0.8889
- 1-recall: 0.8889
- 1-precision: 0.8889
- Balanced Acc: 0.9405

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
| 0.0634        | 1.0   | 26   | 0.1150          | 0.9678   | 0.8000 | 0.9630   | 0.6842      | 0.9656       |
| 0.1226        | 2.0   | 52   | 0.1786          | 0.9777   | 0.8302 | 0.8148   | 0.8462      | 0.9021       |
| 0.071         | 3.0   | 78   | 0.4079          | 0.9728   | 0.7755 | 0.7037   | 0.8636      | 0.8479       |
| 0.0021        | 4.0   | 104  | 0.0663          | 0.9851   | 0.9    | 1.0      | 0.8182      | 0.9920       |
| 0.0014        | 5.0   | 130  | 0.2323          | 0.9827   | 0.8727 | 0.8889   | 0.8571      | 0.9391       |
| 0.001         | 6.0   | 156  | 0.8937          | 0.9678   | 0.7111 | 0.5926   | 0.8889      | 0.7936       |
| 0.0005        | 7.0   | 182  | 0.3595          | 0.9851   | 0.8889 | 0.8889   | 0.8889      | 0.9405       |


### Framework versions

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