--- library_name: transformers license: apache-2.0 base_model: AnonymousCS/populism_english_bert_base_uncased tags: - generated_from_trainer metrics: - accuracy model-index: - name: populism_classifier_346 results: [] --- # populism_classifier_346 This model is a fine-tuned version of [AnonymousCS/populism_english_bert_base_uncased](https://huggingface.co/AnonymousCS/populism_english_bert_base_uncased) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.4167 - Accuracy: 0.9456 - 1-f1: 0.6780 - 1-recall: 0.7407 - 1-precision: 0.625 - Balanced Acc: 0.8517 ## 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 | |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:| | 0.1929 | 1.0 | 22 | 0.1974 | 0.9226 | 0.6494 | 0.9259 | 0.5 | 0.9241 | | 0.1033 | 2.0 | 44 | 0.2472 | 0.9341 | 0.6667 | 0.8519 | 0.5476 | 0.8964 | | 0.0322 | 3.0 | 66 | 0.2634 | 0.9341 | 0.6567 | 0.8148 | 0.55 | 0.8795 | | 0.0514 | 4.0 | 88 | 0.4167 | 0.9456 | 0.6780 | 0.7407 | 0.625 | 0.8517 | ### Framework versions - Transformers 4.46.3 - Pytorch 2.4.1+cu121 - Datasets 3.1.0 - Tokenizers 0.20.3