---
library_name: transformers
license: apache-2.0
base_model: google/rembert
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: populism_classifier_405
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# populism_classifier_405

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: 0.6718
- Accuracy: 0.9316
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
| 0.5294        | 1.0   | 95   | 0.6951          | 0.4474   | 0.0870 | 0.3846   | 0.0490      | 0.4183       |
| 0.4281        | 2.0   | 190  | 0.7576          | 0.2395   | 0.0707 | 0.4231   | 0.0386      | 0.3245       |
| 0.6661        | 3.0   | 285  | 0.8551          | 0.0684   | 0.1281 | 1.0      | 0.0684      | 0.5          |
| 0.6035        | 4.0   | 380  | 0.6809          | 0.9316   | 0.0    | 0.0      | 0.0         | 0.5          |
| 0.451         | 5.0   | 475  | 0.6636          | 0.9316   | 0.0    | 0.0      | 0.0         | 0.5          |
| 0.6474        | 6.0   | 570  | 0.6653          | 0.9316   | 0.0    | 0.0      | 0.0         | 0.5          |
| 0.8721        | 7.0   | 665  | 0.7759          | 0.9316   | 0.0    | 0.0      | 0.0         | 0.5          |
| 0.6361        | 8.0   | 760  | 0.6713          | 0.9316   | 0.0    | 0.0      | 0.0         | 0.5          |
| 0.4965        | 9.0   | 855  | 0.7745          | 0.9316   | 0.0    | 0.0      | 0.0         | 0.5          |
| 0.8257        | 10.0  | 950  | 0.6718          | 0.9316   | 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