---
library_name: transformers
license: apache-2.0
base_model: google/rembert
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: populism_classifier_395
  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_395

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: 0.7593
- Accuracy: 0.7203
- 1-f1: 0.1781
- 1-recall: 0.5417
- 1-precision: 0.1066
- Balanced Acc: 0.6363

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
| 0.3534        | 1.0   | 108  | 0.6570          | 0.9417   | 0.0    | 0.0      | 0.0         | 0.4988       |
| 0.6423        | 2.0   | 216  | 0.6427          | 0.9417   | 0.0    | 0.0      | 0.0         | 0.4988       |
| 0.6418        | 3.0   | 324  | 0.6813          | 0.7413   | 0.0672 | 0.1667   | 0.0421      | 0.4710       |
| 0.9179        | 4.0   | 432  | 0.9171          | 0.9441   | 0.0    | 0.0      | 0.0         | 0.5          |
| 0.6552        | 5.0   | 540  | 0.6415          | 0.9394   | 0.0    | 0.0      | 0.0         | 0.4975       |
| 0.2303        | 6.0   | 648  | 0.9350          | 0.0583   | 0.1062 | 1.0      | 0.0561      | 0.5012       |
| 0.275         | 7.0   | 756  | 0.9327          | 0.0606   | 0.1064 | 1.0      | 0.0562      | 0.5025       |
| 0.0706        | 8.0   | 864  | 0.7735          | 0.7319   | 0.1353 | 0.375    | 0.0826      | 0.5640       |
| 0.0629        | 9.0   | 972  | 0.9589          | 0.5361   | 0.0744 | 0.3333   | 0.0419      | 0.4407       |
| 0.0181        | 10.0  | 1080 | 0.7593          | 0.7203   | 0.1781 | 0.5417   | 0.1066      | 0.6363       |


### Framework versions

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