| | --- |
| | 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_003 |
| | 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_003 |
| |
|
| | 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: 0.2029 |
| | - Accuracy: 0.9704 |
| | - 1-f1: 0.8214 |
| | - 1-recall: 0.92 |
| | - 1-precision: 0.7419 |
| | - Balanced Acc: 0.9472 |
| |
|
| | ## 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 OptimizerNames.ADAMW_TORCH_FUSED 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 | |
| | |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:| |
| | | 0.2206 | 1.0 | 11 | 0.1905 | 0.9645 | 0.7857 | 0.88 | 0.7097 | 0.9256 | |
| | | 0.2774 | 2.0 | 22 | 0.1687 | 0.9675 | 0.8070 | 0.92 | 0.7188 | 0.9456 | |
| | | 0.0912 | 3.0 | 33 | 0.1892 | 0.9675 | 0.8 | 0.88 | 0.7333 | 0.9272 | |
| | | 0.0528 | 4.0 | 44 | 0.2029 | 0.9704 | 0.8214 | 0.92 | 0.7419 | 0.9472 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.56.0.dev0 |
| | - Pytorch 2.8.0+cu126 |
| | - Datasets 4.0.0 |
| | - Tokenizers 0.21.4 |
| | |
