| | --- |
| | library_name: transformers |
| | license: mit |
| | base_model: AnonymousCS/populism_multilingual_roberta_base |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - accuracy |
| | - f1 |
| | - recall |
| | - precision |
| | model-index: |
| | - name: populism_model61 |
| | 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_model61 |
| | |
| | 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: 0.5974 |
| | - Accuracy: 0.9282 |
| | - F1: 0.5797 |
| | - Recall: 0.5882 |
| | - Precision: 0.5714 |
| | |
| | ## 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 | 13 | 0.3425 | 0.9183 | 0.6024 | 0.7353 | 0.5102 | |
| | | No log | 2.0 | 26 | 0.3422 | 0.9109 | 0.5814 | 0.7353 | 0.4808 | |
| | | No log | 3.0 | 39 | 0.8765 | 0.9356 | 0.5 | 0.3824 | 0.7222 | |
| | | 0.2262 | 4.0 | 52 | 0.4561 | 0.9282 | 0.6234 | 0.7059 | 0.5581 | |
| | | 0.2262 | 5.0 | 65 | 0.5974 | 0.9282 | 0.5797 | 0.5882 | 0.5714 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.47.1 |
| | - Pytorch 2.5.1+cu121 |
| | - Datasets 3.2.0 |
| | - Tokenizers 0.21.0 |
| | |
