---
library_name: transformers
license: apache-2.0
base_model: google/rembert
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: populism_classifier_bsample_413
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# populism_classifier_bsample_413

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: 1.3564
- Accuracy: 0.6483
- 1-f1: 0.3030
- 1-recall: 1.0
- 1-precision: 0.1786
- Balanced Acc: 0.8096

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
| 0.004         | 1.0   | 6    | 1.2736          | 0.6850   | 0.3268 | 1.0      | 0.1953      | 0.8295       |
| 0.0439        | 2.0   | 12   | 0.5350          | 0.7492   | 0.3788 | 1.0      | 0.2336      | 0.8642       |
| 0.0218        | 3.0   | 18   | 0.6059          | 0.7798   | 0.4098 | 1.0      | 0.2577      | 0.8808       |
| 0.0023        | 4.0   | 24   | 1.3564          | 0.6483   | 0.3030 | 1.0      | 0.1786      | 0.8096       |


### Framework versions

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