--- 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_337 results: [] --- # populism_classifier_337 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: 1.2559 - Accuracy: 0.9505 - 1-f1: 0.3265 - 1-recall: 0.2286 - 1-precision: 0.5714 - Balanced Acc: 0.6095 ## 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 | |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:| | 0.4077 | 1.0 | 42 | 0.3220 | 0.9340 | 0.5111 | 0.6571 | 0.4182 | 0.8033 | | 0.2071 | 2.0 | 84 | 0.3642 | 0.9400 | 0.5556 | 0.7143 | 0.4545 | 0.8334 | | 0.2844 | 3.0 | 126 | 0.9942 | 0.9475 | 0.3137 | 0.2286 | 0.5 | 0.6080 | | 0.0121 | 4.0 | 168 | 1.2559 | 0.9505 | 0.3265 | 0.2286 | 0.5714 | 0.6095 | ### Framework versions - Transformers 4.46.3 - Pytorch 2.4.1+cu121 - Datasets 3.1.0 - Tokenizers 0.20.3