---
library_name: transformers
license: apache-2.0
base_model: google/rembert
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: populism_classifier_404
  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_404

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: 0.6947
- Accuracy: 0.9711
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:----:|:--------:|:-----------:|:------------:|
| 0.0097        | 1.0   | 494  | 1.0695          | 0.9711   | 0.0  | 0.0      | 0.0         | 0.5          |
| 0.004         | 2.0   | 988  | 1.0047          | 0.9711   | 0.0  | 0.0      | 0.0         | 0.5          |
| 0.8165        | 3.0   | 1482 | 0.7731          | 0.9711   | 0.0  | 0.0      | 0.0         | 0.5          |
| 0.9303        | 4.0   | 1976 | 0.8081          | 0.9711   | 0.0  | 0.0      | 0.0         | 0.5          |
| 0.8644        | 5.0   | 2470 | 0.7191          | 0.9711   | 0.0  | 0.0      | 0.0         | 0.5          |
| 1.0654        | 6.0   | 2964 | 0.7048          | 0.9711   | 0.0  | 0.0      | 0.0         | 0.5          |
| 0.0221        | 7.0   | 3458 | 0.6890          | 0.9711   | 0.0  | 0.0      | 0.0         | 0.5          |
| 0.0194        | 8.0   | 3952 | 0.7002          | 0.9711   | 0.0  | 0.0      | 0.0         | 0.5          |
| 0.0413        | 9.0   | 4446 | 0.6181          | 0.9711   | 0.0  | 0.0      | 0.0         | 0.5          |
| 1.3684        | 10.0  | 4940 | 0.6951          | 0.9711   | 0.0  | 0.0      | 0.0         | 0.5          |
| 0.7941        | 11.0  | 5434 | 0.7525          | 0.9711   | 0.0  | 0.0      | 0.0         | 0.5          |
| 0.672         | 12.0  | 5928 | 0.6746          | 0.9711   | 0.0  | 0.0      | 0.0         | 0.5          |
| 1.0709        | 13.0  | 6422 | 0.7167          | 0.9711   | 0.0  | 0.0      | 0.0         | 0.5          |
| 1.3019        | 14.0  | 6916 | 0.6947          | 0.9711   | 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