---
library_name: transformers
license: apache-2.0
base_model: google/rembert
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: populism_classifier_396
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# populism_classifier_396

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: 0.6710
- Accuracy: 0.9355
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
| 1.1991        | 1.0   | 128  | 0.6415          | 0.9355   | 0.0    | 0.0      | 0.0         | 0.5          |
| 1.2117        | 2.0   | 256  | 0.6960          | 0.9355   | 0.0    | 0.0      | 0.0         | 0.5          |
| 1.4748        | 3.0   | 384  | 1.1384          | 0.9355   | 0.0    | 0.0      | 0.0         | 0.5          |
| 0.7464        | 4.0   | 512  | 0.7210          | 0.7695   | 0.0167 | 0.0303   | 0.0115      | 0.4254       |
| 0.6122        | 5.0   | 640  | 0.6916          | 0.75     | 0.0303 | 0.0606   | 0.0202      | 0.4291       |
| 0.8029        | 6.0   | 768  | 0.6710          | 0.9355   | 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