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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_391
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_391
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: 1.3230
- Accuracy: 0.9523
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|:----:|:--------:|:-----------:|:------------:|
| 0.0128 | 1.0 | 3484 | 0.9344 | 0.9523 | 0.0 | 0.0 | 0.0 | 0.5 |
| 0.9515 | 2.0 | 6968 | 0.8225 | 0.9523 | 0.0 | 0.0 | 0.0 | 0.5 |
| 0.6456 | 3.0 | 10452 | 0.8839 | 0.9523 | 0.0 | 0.0 | 0.0 | 0.5 |
| 0.053 | 4.0 | 13936 | 0.9211 | 0.9523 | 0.0 | 0.0 | 0.0 | 0.5 |
| 0.5498 | 5.0 | 17420 | 0.9413 | 0.9523 | 0.0 | 0.0 | 0.0 | 0.5 |
| 0.218 | 6.0 | 20904 | 0.8088 | 0.9523 | 0.0 | 0.0 | 0.0 | 0.5 |
| 1.9402 | 7.0 | 24388 | 1.1587 | 0.9523 | 0.0 | 0.0 | 0.0 | 0.5 |
| 0.6771 | 8.0 | 27872 | 1.2072 | 0.9523 | 0.0 | 0.0 | 0.0 | 0.5 |
| 0.6533 | 9.0 | 31356 | 1.4121 | 0.9523 | 0.0 | 0.0 | 0.0 | 0.5 |
| 0.8778 | 10.0 | 34840 | 1.2411 | 0.9523 | 0.0 | 0.0 | 0.0 | 0.5 |
| 0.4423 | 11.0 | 38324 | 1.3230 | 0.9523 | 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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