---
library_name: transformers
license: apache-2.0
base_model: google/rembert
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: populism_classifier_402
  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_402

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: 0.6802
- Accuracy: 0.9332
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
| 0.6586        | 1.0   | 101  | 0.6708          | 0.9332   | 0.0    | 0.0      | 0.0         | 0.5          |
| 0.4749        | 2.0   | 202  | 0.6684          | 0.3416   | 0.1364 | 0.7778   | 0.0747      | 0.5441       |
| 1.4489        | 3.0   | 303  | 0.6667          | 0.9332   | 0.0    | 0.0      | 0.0         | 0.5          |
| 0.9142        | 4.0   | 404  | 0.6887          | 0.9332   | 0.0    | 0.0      | 0.0         | 0.5          |
| 0.6597        | 5.0   | 505  | 0.6467          | 0.9332   | 0.0    | 0.0      | 0.0         | 0.5          |
| 0.6488        | 6.0   | 606  | 0.6644          | 0.9084   | 0.0    | 0.0      | 0.0         | 0.4867       |
| 0.246         | 7.0   | 707  | 0.6945          | 0.9332   | 0.0    | 0.0      | 0.0         | 0.5          |
| 0.67          | 8.0   | 808  | 0.6916          | 0.9332   | 0.0    | 0.0      | 0.0         | 0.5          |
| 0.8424        | 9.0   | 909  | 0.7135          | 0.9332   | 0.0    | 0.0      | 0.0         | 0.5          |
| 0.7539        | 10.0  | 1010 | 0.6802          | 0.9332   | 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