--- 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_329 results: [] --- # populism_classifier_329 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: 0.8195 - Accuracy: 0.9486 - 1-f1: 0.5614 - 1-recall: 0.5714 - 1-precision: 0.5517 - Balanced Acc: 0.7715 ## 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 | |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:| | 0.28 | 1.0 | 31 | 0.4135 | 0.9403 | 0.5085 | 0.5357 | 0.4839 | 0.7504 | | 0.4878 | 2.0 | 62 | 0.5332 | 0.9444 | 0.5714 | 0.6429 | 0.5143 | 0.8029 | | 0.0097 | 3.0 | 93 | 0.7666 | 0.9424 | 0.5484 | 0.6071 | 0.5 | 0.7850 | | 0.015 | 4.0 | 124 | 0.8195 | 0.9486 | 0.5614 | 0.5714 | 0.5517 | 0.7715 | ### Framework versions - Transformers 4.46.3 - Pytorch 2.4.1+cu121 - Datasets 3.1.0 - Tokenizers 0.20.3