| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: google-bert/bert-base-multilingual-uncased |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: populism_classifier_030 |
| 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_030 |
|
|
| This model is a fine-tuned version of [google-bert/bert-base-multilingual-uncased](https://huggingface.co/google-bert/bert-base-multilingual-uncased) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.2959 |
| - Accuracy: 0.9733 |
| - 1-f1: 0.4419 |
| - 1-recall: 0.6333 |
| - 1-precision: 0.3393 |
| - Balanced Acc: 0.8062 |
|
|
| ## 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_FUSED 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 | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:| |
| | 0.4541 | 1.0 | 113 | 0.2234 | 0.9872 | 0.4651 | 0.3333 | 0.7692 | 0.6658 | |
| | 0.3848 | 2.0 | 226 | 0.3103 | 0.9889 | 0.5455 | 0.4 | 0.8571 | 0.6994 | |
| | 0.1234 | 3.0 | 339 | 0.2180 | 0.9800 | 0.4857 | 0.5667 | 0.425 | 0.7768 | |
| | 0.018 | 4.0 | 452 | 0.3341 | 0.9894 | 0.6122 | 0.5 | 0.7895 | 0.7489 | |
| | 0.0077 | 5.0 | 565 | 0.2959 | 0.9733 | 0.4419 | 0.6333 | 0.3393 | 0.8062 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.56.0.dev0 |
| - Pytorch 2.8.0+cu126 |
| - Datasets 4.0.0 |
| - Tokenizers 0.21.4 |
| |
