| | --- |
| | library_name: transformers |
| | license: apache-2.0 |
| | base_model: AnonymousCS/populism_multilingual_bert_uncased |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - accuracy |
| | model-index: |
| | - name: populism_model016 |
| | 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_model016 |
| | |
| | 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: 0.5091 |
| | - Accuracy: 0.9173 |
| | - 1-f1: 0.9176 |
| | - 1-recall: 0.9209 |
| | - 1-precision: 0.9142 |
| | - Balanced Acc: 0.9173 |
| | |
| | ## 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: 8 |
| | - eval_batch_size: 8 |
| | - 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 | |
| | |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:| |
| | | 0.1544 | 1.0 | 684 | 0.2561 | 0.9056 | 0.9082 | 0.9341 | 0.8837 | 0.9057 | |
| | | 0.0954 | 2.0 | 1368 | 0.2810 | 0.9166 | 0.9197 | 0.9561 | 0.8860 | 0.9166 | |
| | | 0.0949 | 3.0 | 2052 | 0.3699 | 0.9195 | 0.9215 | 0.9458 | 0.8985 | 0.9196 | |
| | | 0.0966 | 4.0 | 2736 | 0.5756 | 0.9195 | 0.9185 | 0.9078 | 0.9295 | 0.9195 | |
| | | 0.0051 | 5.0 | 3420 | 0.5091 | 0.9173 | 0.9176 | 0.9209 | 0.9142 | 0.9173 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.52.0.dev0 |
| | - Pytorch 2.6.0+cu124 |
| | - Datasets 2.14.4 |
| | - Tokenizers 0.21.1 |
| | |
