--- 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_317 results: [] --- # populism_classifier_317 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: 0.6002 - Accuracy: 0.9557 - 1-f1: 0.5778 - 1-recall: 0.5417 - 1-precision: 0.6190 - Balanced Acc: 0.7610 ## 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 | |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:| | 0.1895 | 1.0 | 27 | 0.2592 | 0.9487 | 0.6333 | 0.7917 | 0.5278 | 0.8748 | | 0.189 | 2.0 | 54 | 0.2613 | 0.9347 | 0.6 | 0.875 | 0.4565 | 0.9066 | | 0.0758 | 3.0 | 81 | 0.3632 | 0.9464 | 0.5490 | 0.5833 | 0.5185 | 0.7756 | | 0.4068 | 4.0 | 108 | 0.6002 | 0.9557 | 0.5778 | 0.5417 | 0.6190 | 0.7610 | ### Framework versions - Transformers 4.46.3 - Pytorch 2.4.1+cu121 - Datasets 3.1.0 - Tokenizers 0.20.3