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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_413
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_413
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: 0.6811
- Accuracy: 0.9205
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
| 0.6923 | 1.0 | 82 | 0.6910 | 0.9144 | 0.0 | 0.0 | 0.0 | 0.4967 |
| 0.5278 | 2.0 | 164 | 0.6997 | 0.9144 | 0.0 | 0.0 | 0.0 | 0.4967 |
| 0.5443 | 3.0 | 246 | 0.9550 | 0.9205 | 0.0 | 0.0 | 0.0 | 0.5 |
| 0.6379 | 4.0 | 328 | 0.6841 | 0.9052 | 0.0606 | 0.0385 | 0.1429 | 0.5093 |
| 0.6825 | 5.0 | 410 | 0.6811 | 0.9205 | 0.0 | 0.0 | 0.0 | 0.5 |
| 0.651 | 6.0 | 492 | 0.6834 | 0.9205 | 0.0 | 0.0 | 0.0 | 0.5 |
| 0.619 | 7.0 | 574 | 0.6941 | 0.9205 | 0.0 | 0.0 | 0.0 | 0.5 |
| 0.7377 | 8.0 | 656 | 0.6775 | 0.9205 | 0.0 | 0.0 | 0.0 | 0.5 |
| 0.6771 | 9.0 | 738 | 0.6895 | 0.9205 | 0.0 | 0.0 | 0.0 | 0.5 |
| 0.5212 | 10.0 | 820 | 0.7033 | 0.9205 | 0.0 | 0.0 | 0.0 | 0.5 |
| 0.631 | 11.0 | 902 | 0.6980 | 0.9205 | 0.0 | 0.0 | 0.0 | 0.5 |
| 0.5951 | 12.0 | 984 | 0.6824 | 0.9205 | 0.0 | 0.0 | 0.0 | 0.5 |
| 1.0367 | 13.0 | 1066 | 0.6811 | 0.9205 | 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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