--- 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_343 results: [] --- # populism_classifier_343 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: 0.5474 - Accuracy: 0.9510 - 1-f1: 0.5714 - 1-recall: 0.5833 - 1-precision: 0.56 - Balanced Acc: 0.7781 ## 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 | |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:| | 0.1989 | 1.0 | 27 | 0.2765 | 0.9347 | 0.5758 | 0.7917 | 0.4524 | 0.8674 | | 0.1547 | 2.0 | 54 | 0.4345 | 0.9580 | 0.6087 | 0.5833 | 0.6364 | 0.7818 | | 0.0386 | 3.0 | 81 | 0.3843 | 0.9557 | 0.6545 | 0.75 | 0.5806 | 0.8590 | | 0.3989 | 4.0 | 108 | 0.5474 | 0.9510 | 0.5714 | 0.5833 | 0.56 | 0.7781 | ### Framework versions - Transformers 4.46.3 - Pytorch 2.4.1+cu121 - Datasets 3.1.0 - Tokenizers 0.20.3