| | --- |
| | library_name: transformers |
| | license: mit |
| | base_model: AnonymousCS/populism_multilingual_roberta_base |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - accuracy |
| | model-index: |
| | - name: populism_classifier_237 |
| | 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_237 |
| |
|
| | This model is a fine-tuned version of [AnonymousCS/populism_multilingual_roberta_base](https://huggingface.co/AnonymousCS/populism_multilingual_roberta_base) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.5735 |
| | - Accuracy: 0.8018 |
| | - 1-f1: 0.3738 |
| | - 1-recall: 0.8 |
| | - 1-precision: 0.2439 |
| | - Balanced Acc: 0.8010 |
| |
|
| | ## 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: 64 |
| | - eval_batch_size: 64 |
| | - 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 | |
| | |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:| |
| | | 0.2948 | 1.0 | 22 | 0.5296 | 0.6272 | 0.2500 | 0.84 | 0.1469 | 0.7251 | |
| | | 0.638 | 2.0 | 44 | 0.4735 | 0.7544 | 0.3140 | 0.76 | 0.1979 | 0.7570 | |
| | | 0.789 | 3.0 | 66 | 0.5050 | 0.8994 | 0.4848 | 0.64 | 0.3902 | 0.7801 | |
| | | 0.1612 | 4.0 | 88 | 0.4971 | 0.8728 | 0.4557 | 0.72 | 0.3333 | 0.8025 | |
| | | 0.6363 | 5.0 | 110 | 0.5735 | 0.8018 | 0.3738 | 0.8 | 0.2439 | 0.8010 | |
| |
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| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.46.3 |
| | - Pytorch 2.4.1+cu121 |
| | - Datasets 3.1.0 |
| | - Tokenizers 0.20.3 |
| |
|
