| | --- |
| | library_name: transformers |
| | license: apache-2.0 |
| | base_model: google-bert/bert-base-multilingual-cased |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - accuracy |
| | model-index: |
| | - name: populism_model0 |
| | 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_model0 |
| | |
| | This model is a fine-tuned version of [google-bert/bert-base-multilingual-cased](https://huggingface.co/google-bert/bert-base-multilingual-cased) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.4208 |
| | - Accuracy: 0.8688 |
| | - 1-f1: 0.3284 |
| | - 1-recall: 0.6588 |
| | - 1-precision: 0.2188 |
| | - Balanced Acc: 0.7692 |
| | |
| | ## 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 | 1-f1 | 1-recall | 1-precision | Balanced Acc | |
| | |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:| |
| | | 0.4957 | 1.0 | 55 | 0.5050 | 0.8682 | 0.2722 | 0.5059 | 0.1861 | 0.6963 | |
| | | 0.4629 | 2.0 | 110 | 0.4640 | 0.7788 | 0.2548 | 0.7765 | 0.1524 | 0.7777 | |
| | | 0.3876 | 3.0 | 165 | 0.4342 | 0.7851 | 0.2802 | 0.8588 | 0.1674 | 0.8201 | |
| | | 0.3452 | 4.0 | 220 | 0.4179 | 0.8911 | 0.3493 | 0.6 | 0.2464 | 0.7530 | |
| | | 0.3012 | 5.0 | 275 | 0.4208 | 0.8688 | 0.3284 | 0.6588 | 0.2188 | 0.7692 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.48.0.dev0 |
| | - Pytorch 2.5.1+cu121 |
| | - Datasets 3.2.0 |
| | - Tokenizers 0.21.0 |
| | |
