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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_235
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_235
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: 0.5612
- Accuracy: 0.9350
- 1-f1: 0.4244
- 1-recall: 0.5023
- 1-precision: 0.3674
- Balanced Acc: 0.7295
## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
| 0.495 | 1.0 | 871 | 0.3809 | 0.9201 | 0.4087 | 0.5789 | 0.3158 | 0.7580 |
| 0.3464 | 2.0 | 1742 | 0.3856 | 0.9236 | 0.4147 | 0.5669 | 0.3270 | 0.7542 |
| 0.103 | 3.0 | 2613 | 0.4297 | 0.9423 | 0.4322 | 0.4602 | 0.4075 | 0.7133 |
| 0.2132 | 4.0 | 3484 | 0.5612 | 0.9350 | 0.4244 | 0.5023 | 0.3674 | 0.7295 |
### Framework versions
- Transformers 4.46.3
- Pytorch 2.4.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
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