--- library_name: transformers license: apache-2.0 base_model: AnonymousCS/populism_english_bert_base_cased tags: - generated_from_trainer metrics: - accuracy model-index: - name: populism_classifier_301 results: [] --- # populism_classifier_301 This model is a fine-tuned version of [AnonymousCS/populism_english_bert_base_cased](https://huggingface.co/AnonymousCS/populism_english_bert_base_cased) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.4181 - Accuracy: 0.9395 - 1-f1: 0.6230 - 1-recall: 0.7308 - 1-precision: 0.5429 - Balanced Acc: 0.8428 ## 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 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 | |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:| | 0.2385 | 1.0 | 12 | 0.3865 | 0.8 | 0.3871 | 0.9231 | 0.2449 | 0.8570 | | 0.2943 | 2.0 | 24 | 0.3401 | 0.8974 | 0.5301 | 0.8462 | 0.3860 | 0.8736 | | 0.0997 | 3.0 | 36 | 0.3922 | 0.9289 | 0.5846 | 0.7308 | 0.4872 | 0.8371 | | 0.1558 | 4.0 | 48 | 0.4181 | 0.9395 | 0.6230 | 0.7308 | 0.5429 | 0.8428 | ### Framework versions - Transformers 4.46.3 - Pytorch 2.4.1+cu121 - Datasets 3.1.0 - Tokenizers 0.20.3