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---
library_name: transformers
license: apache-2.0
base_model: google/rembert
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: populism_classifier_416
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_416
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: 0.6585
- Accuracy: 0.9371
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:----:|:--------:|:-----------:|:------------:|
| 0.1819 | 1.0 | 124 | 0.6633 | 0.9371 | 0.0 | 0.0 | 0.0 | 0.5 |
| 0.4154 | 2.0 | 248 | 0.6913 | 0.9371 | 0.0 | 0.0 | 0.0 | 0.5 |
| 0.6373 | 3.0 | 372 | 0.6449 | 0.9371 | 0.0 | 0.0 | 0.0 | 0.5 |
| 0.4658 | 4.0 | 496 | 0.6969 | 0.9371 | 0.0 | 0.0 | 0.0 | 0.5 |
| 1.0914 | 5.0 | 620 | 0.7048 | 0.9371 | 0.0 | 0.0 | 0.0 | 0.5 |
| 0.3045 | 6.0 | 744 | 0.6476 | 0.9371 | 0.0 | 0.0 | 0.0 | 0.5 |
| 0.7046 | 7.0 | 868 | 0.6569 | 0.9371 | 0.0 | 0.0 | 0.0 | 0.5 |
| 0.3645 | 8.0 | 992 | 0.6368 | 0.9371 | 0.0 | 0.0 | 0.0 | 0.5 |
| 0.2303 | 9.0 | 1116 | 0.6604 | 0.9371 | 0.0 | 0.0 | 0.0 | 0.5 |
| 0.5905 | 10.0 | 1240 | 0.6307 | 0.9371 | 0.0 | 0.0 | 0.0 | 0.5 |
| 0.3306 | 11.0 | 1364 | 0.6332 | 0.9371 | 0.0 | 0.0 | 0.0 | 0.5 |
| 0.2381 | 12.0 | 1488 | 0.6957 | 0.9371 | 0.0 | 0.0 | 0.0 | 0.5 |
| 0.4752 | 13.0 | 1612 | 0.6574 | 0.9371 | 0.0 | 0.0 | 0.0 | 0.5 |
| 0.6578 | 14.0 | 1736 | 0.6515 | 0.9371 | 0.0 | 0.0 | 0.0 | 0.5 |
| 0.5788 | 15.0 | 1860 | 0.6585 | 0.9371 | 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
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