| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: AnonymousCS/populism_multilingual_bert |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| - f1 |
| - recall |
| - precision |
| model-index: |
| - name: populism_model46 |
| 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_model46 |
| |
| This model is a fine-tuned version of [AnonymousCS/populism_multilingual_bert](https://huggingface.co/AnonymousCS/populism_multilingual_bert) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.3032 |
| - Accuracy: 0.9385 |
| - F1: 0.5455 |
| - Recall: 0.7826 |
| - Precision: 0.4186 |
| |
| ## 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: 128 |
| - eval_batch_size: 128 |
| - 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: 5 |
| - mixed_precision_training: Native AMP |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Recall | Precision | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:------:|:---------:| |
| | No log | 1.0 | 16 | 0.2683 | 0.8832 | 0.4124 | 0.8696 | 0.2703 | |
| | No log | 2.0 | 32 | 0.2746 | 0.8975 | 0.4444 | 0.8696 | 0.2985 | |
| | No log | 3.0 | 48 | 0.3024 | 0.9426 | 0.5484 | 0.7391 | 0.4359 | |
| | 0.2017 | 4.0 | 64 | 0.2985 | 0.9406 | 0.5397 | 0.7391 | 0.425 | |
| | 0.2017 | 5.0 | 80 | 0.3032 | 0.9385 | 0.5455 | 0.7826 | 0.4186 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.47.1 |
| - Pytorch 2.5.1+cu121 |
| - Datasets 3.2.0 |
| - Tokenizers 0.21.0 |
| |
