| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: AnonymousCS/populism_multilingual_bert_uncased |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: populism_model226 |
| 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_model226 |
| |
| This model is a fine-tuned version of [AnonymousCS/populism_multilingual_bert_uncased](https://huggingface.co/AnonymousCS/populism_multilingual_bert_uncased) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.2893 |
| - Accuracy: 0.9587 |
| - 1-f1: 0.4615 |
| - 1-recall: 0.5 |
| - 1-precision: 0.4286 |
| - Balanced Acc: 0.7378 |
| |
| ## 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 OptimizerNames.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: 3 |
| - mixed_precision_training: Native AMP |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | 1-f1 | 1-recall | 1-precision | Balanced Acc | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:| |
| | 0.2108 | 1.0 | 32 | 0.1838 | 0.9548 | 0.5490 | 0.7778 | 0.4242 | 0.8695 | |
| | 0.1698 | 2.0 | 64 | 0.2434 | 0.9568 | 0.4762 | 0.5556 | 0.4167 | 0.7635 | |
| | 0.1167 | 3.0 | 96 | 0.2893 | 0.9587 | 0.4615 | 0.5 | 0.4286 | 0.7378 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.49.0.dev0 |
| - Pytorch 2.5.1+cu121 |
| - Datasets 3.2.0 |
| - Tokenizers 0.21.0 |
| |
