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library_name: transformers
license: mit
base_model: AnonymousCS/populism_multilingual_roberta_base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: populism_classifier_254
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_254
This model is a fine-tuned version of [AnonymousCS/populism_multilingual_roberta_base](https://huggingface.co/AnonymousCS/populism_multilingual_roberta_base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7855
- Accuracy: 0.8889
- 1-f1: 0.6071
- 1-recall: 0.68
- 1-precision: 0.5484
- Balanced Acc: 0.7995
## 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: 64
- eval_batch_size: 64
- 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
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
| 0.46 | 1.0 | 13 | 0.4072 | 0.8535 | 0.5915 | 0.84 | 0.4565 | 0.8477 |
| 0.1577 | 2.0 | 26 | 0.3844 | 0.8535 | 0.5915 | 0.84 | 0.4565 | 0.8477 |
| 0.1236 | 3.0 | 39 | 0.4808 | 0.8737 | 0.6377 | 0.88 | 0.5 | 0.8764 |
| 0.1492 | 4.0 | 52 | 0.7255 | 0.8788 | 0.5556 | 0.6 | 0.5172 | 0.7595 |
| 0.0661 | 5.0 | 65 | 0.7855 | 0.8889 | 0.6071 | 0.68 | 0.5484 | 0.7995 |
### Framework versions
- Transformers 4.46.3
- Pytorch 2.4.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
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