---
library_name: transformers
license: apache-2.0
base_model: google/rembert
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: populism_classifier_391
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# populism_classifier_391

This model is a fine-tuned version of [google/rembert](https://huggingface.co/google/rembert) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3230
- Accuracy: 0.9523
- 1-f1: 0.0
- 1-recall: 0.0
- 1-precision: 0.0
- Balanced Acc: 0.5

## 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: 16
- 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
- lr_scheduler_warmup_ratio: 0.06
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|:----:|:--------:|:-----------:|:------------:|
| 0.0128        | 1.0   | 3484  | 0.9344          | 0.9523   | 0.0  | 0.0      | 0.0         | 0.5          |
| 0.9515        | 2.0   | 6968  | 0.8225          | 0.9523   | 0.0  | 0.0      | 0.0         | 0.5          |
| 0.6456        | 3.0   | 10452 | 0.8839          | 0.9523   | 0.0  | 0.0      | 0.0         | 0.5          |
| 0.053         | 4.0   | 13936 | 0.9211          | 0.9523   | 0.0  | 0.0      | 0.0         | 0.5          |
| 0.5498        | 5.0   | 17420 | 0.9413          | 0.9523   | 0.0  | 0.0      | 0.0         | 0.5          |
| 0.218         | 6.0   | 20904 | 0.8088          | 0.9523   | 0.0  | 0.0      | 0.0         | 0.5          |
| 1.9402        | 7.0   | 24388 | 1.1587          | 0.9523   | 0.0  | 0.0      | 0.0         | 0.5          |
| 0.6771        | 8.0   | 27872 | 1.2072          | 0.9523   | 0.0  | 0.0      | 0.0         | 0.5          |
| 0.6533        | 9.0   | 31356 | 1.4121          | 0.9523   | 0.0  | 0.0      | 0.0         | 0.5          |
| 0.8778        | 10.0  | 34840 | 1.2411          | 0.9523   | 0.0  | 0.0      | 0.0         | 0.5          |
| 0.4423        | 11.0  | 38324 | 1.3230          | 0.9523   | 0.0  | 0.0      | 0.0         | 0.5          |


### Framework versions

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