| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: AnonymousCS/populism_multilingual_bert_uncased |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: populism_model351 |
| 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_model351 |
| |
| This model is a fine-tuned version of [AnonymousCS/populism_multilingual_bert_uncased](https://huggingface.co/AnonymousCS/populism_multilingual_bert_uncased) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.3870 |
| - Accuracy: 0.8525 |
| - 1-f1: 0.8696 |
| - 1-recall: 1.0 |
| - 1-precision: 0.7692 |
| - Balanced Acc: 0.8548 |
| |
| ## 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 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 | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:| |
| | 0.4028 | 1.0 | 2 | 0.4842 | 0.7869 | 0.7451 | 0.6333 | 0.9048 | 0.7844 | |
| | 0.568 | 2.0 | 4 | 0.4842 | 0.7869 | 0.7451 | 0.6333 | 0.9048 | 0.7844 | |
| | 0.5091 | 3.0 | 6 | 0.3164 | 0.8689 | 0.875 | 0.9333 | 0.8235 | 0.8699 | |
| | 0.2573 | 4.0 | 8 | 0.4203 | 0.8525 | 0.8696 | 1.0 | 0.7692 | 0.8548 | |
| | 0.2775 | 5.0 | 10 | 0.3870 | 0.8525 | 0.8696 | 1.0 | 0.7692 | 0.8548 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.52.0.dev0 |
| - Pytorch 2.6.0+cu124 |
| - Datasets 2.14.4 |
| - Tokenizers 0.21.1 |
| |
