--- 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_331 results: [] --- # populism_classifier_331 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: 0.3609 - Accuracy: 0.9703 - 1-f1: 0.6522 - 1-recall: 0.7895 - 1-precision: 0.5556 - Balanced Acc: 0.8832 ## 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 | |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:| | 0.3374 | 1.0 | 34 | 0.1473 | 0.9703 | 0.6800 | 0.8947 | 0.5484 | 0.9339 | | 0.0648 | 2.0 | 68 | 0.3446 | 0.9758 | 0.6061 | 0.5263 | 0.7143 | 0.7593 | | 0.0041 | 3.0 | 102 | 0.3145 | 0.9703 | 0.6364 | 0.7368 | 0.56 | 0.8578 | | 0.0003 | 4.0 | 136 | 0.3609 | 0.9703 | 0.6522 | 0.7895 | 0.5556 | 0.8832 | ### Framework versions - Transformers 4.46.3 - Pytorch 2.4.1+cu121 - Datasets 3.1.0 - Tokenizers 0.20.3