| | --- |
| | 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_model30 |
| | 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_model30 |
| | |
| | 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: 0.4810 |
| | - Accuracy: 0.9371 |
| | - F1: 0.5695 |
| | - Recall: 0.6774 |
| | - Precision: 0.4912 |
| | |
| | ## 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 | |
| | |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:------:|:---------:| |
| | | 0.3071 | 1.0 | 64 | 0.2776 | 0.8791 | 0.4719 | 0.8790 | 0.3225 | |
| | | 0.2426 | 2.0 | 128 | 0.3367 | 0.9163 | 0.5185 | 0.7339 | 0.4009 | |
| | | 0.1849 | 3.0 | 192 | 0.3548 | 0.9193 | 0.5303 | 0.7419 | 0.4126 | |
| | | 0.1308 | 4.0 | 256 | 0.4400 | 0.9336 | 0.5592 | 0.6855 | 0.4722 | |
| | | 0.1056 | 5.0 | 320 | 0.4810 | 0.9371 | 0.5695 | 0.6774 | 0.4912 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.47.1 |
| | - Pytorch 2.5.1+cu121 |
| | - Datasets 3.2.0 |
| | - Tokenizers 0.21.0 |
| | |
