--- 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_321 results: [] --- # populism_classifier_321 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: 1.1428 - Accuracy: 0.9517 - 1-f1: 0.3590 - 1-recall: 0.2692 - 1-precision: 0.5385 - Balanced Acc: 0.6285 ## 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 | |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:| | 0.2919 | 1.0 | 33 | 0.3111 | 0.9208 | 0.4675 | 0.6923 | 0.3529 | 0.8126 | | 0.099 | 2.0 | 66 | 0.5101 | 0.9344 | 0.4516 | 0.5385 | 0.3889 | 0.7469 | | 0.2634 | 3.0 | 99 | 0.5392 | 0.9459 | 0.5172 | 0.5769 | 0.4688 | 0.7712 | | 0.8945 | 4.0 | 132 | 1.1428 | 0.9517 | 0.3590 | 0.2692 | 0.5385 | 0.6285 | ### Framework versions - Transformers 4.46.3 - Pytorch 2.4.1+cu121 - Datasets 3.1.0 - Tokenizers 0.20.3