--- library_name: transformers license: apache-2.0 base_model: AnonymousCS/populism_english_bert_large_cased tags: - generated_from_trainer metrics: - accuracy model-index: - name: populism_classifier_318 results: [] --- # populism_classifier_318 This model is a fine-tuned version of [AnonymousCS/populism_english_bert_large_cased](https://huggingface.co/AnonymousCS/populism_english_bert_large_cased) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.7283 - Accuracy: 0.9375 - 1-f1: 0.5294 - 1-recall: 0.5455 - 1-precision: 0.5143 - Balanced Acc: 0.7550 ## 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 | |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:| | 0.5165 | 1.0 | 32 | 0.3742 | 0.7715 | 0.3536 | 0.9697 | 0.2162 | 0.8638 | | 0.5349 | 2.0 | 64 | 0.5770 | 0.9395 | 0.5507 | 0.5758 | 0.5278 | 0.7701 | | 0.2874 | 3.0 | 96 | 0.6979 | 0.9570 | 0.6071 | 0.5152 | 0.7391 | 0.7513 | | 0.0927 | 4.0 | 128 | 0.7283 | 0.9375 | 0.5294 | 0.5455 | 0.5143 | 0.7550 | ### Framework versions - Transformers 4.46.3 - Pytorch 2.4.1+cu121 - Datasets 3.1.0 - Tokenizers 0.20.3