| | --- |
| | 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_classifier_bsample_001 |
| | 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_bsample_001 |
| | |
| | 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: 0.6048 |
| | - Accuracy: 0.8258 |
| | - 1-f1: 0.3283 |
| | - 1-recall: 0.8917 |
| | - 1-precision: 0.2012 |
| | - Balanced Acc: 0.8571 |
| | |
| | ## 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: 32 |
| | - eval_batch_size: 32 |
| | - 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: 20 |
| | - mixed_precision_training: Native AMP |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | Accuracy | 1-f1 | 1-recall | 1-precision | Balanced Acc | |
| | |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:| |
| | | 0.1791 | 1.0 | 167 | 1.0272 | 0.5191 | 0.1644 | 0.9910 | 0.0896 | 0.7432 | |
| | | 0.1099 | 2.0 | 334 | 0.7126 | 0.6653 | 0.2174 | 0.9744 | 0.1224 | 0.8121 | |
| | | 0.1254 | 3.0 | 501 | 0.7505 | 0.7070 | 0.2393 | 0.9654 | 0.1366 | 0.8298 | |
| | | 0.1196 | 4.0 | 668 | 0.5164 | 0.8148 | 0.3148 | 0.8917 | 0.1912 | 0.8513 | |
| | | 0.056 | 5.0 | 835 | 0.5215 | 0.8677 | 0.3716 | 0.8195 | 0.2403 | 0.8448 | |
| | | 0.0547 | 6.0 | 1002 | 0.6048 | 0.8258 | 0.3283 | 0.8917 | 0.2012 | 0.8571 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.46.3 |
| | - Pytorch 2.4.1+cu121 |
| | - Datasets 3.1.0 |
| | - Tokenizers 0.20.3 |
| | |
