--- 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_330 results: [] --- # populism_classifier_330 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: 0.5525 - Accuracy: 0.9591 - 1-f1: 0.6047 - 1-recall: 0.5909 - 1-precision: 0.6190 - Balanced Acc: 0.7853 ## 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 | |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:| | 0.0876 | 1.0 | 26 | 0.1974 | 0.9447 | 0.6230 | 0.8636 | 0.4872 | 0.9064 | | 0.0325 | 2.0 | 52 | 0.2757 | 0.9543 | 0.6545 | 0.8182 | 0.5455 | 0.8901 | | 0.2063 | 3.0 | 78 | 0.7272 | 0.9688 | 0.6667 | 0.5909 | 0.7647 | 0.7904 | | 0.0272 | 4.0 | 104 | 0.5525 | 0.9591 | 0.6047 | 0.5909 | 0.6190 | 0.7853 | ### Framework versions - Transformers 4.46.3 - Pytorch 2.4.1+cu121 - Datasets 3.1.0 - Tokenizers 0.20.3