AnonymousCS/populism_classifier_bsample_404

1---2library_name: transformers3license: apache-2.04base_model: google/rembert5tags:6- generated_from_trainer7metrics:8- accuracy9model-index:10- name: populism_classifier_bsample_40411  results: []12---13 14<!-- This model card has been generated automatically according to the information the Trainer had access to. You15should probably proofread and complete it, then remove this comment. -->16 17# populism_classifier_bsample_40418 19This model is a fine-tuned version of [google/rembert](https://huggingface.co/google/rembert) on the None dataset.20It achieves the following results on the evaluation set:21- Loss: 0.284722- Accuracy: 0.962523- 1-f1: 0.568024- 1-recall: 0.923125- 1-precision: 0.410326- Balanced Acc: 0.943327 28## Model description29 30More information needed31 32## Intended uses & limitations33 34More information needed35 36## Training and evaluation data37 38More information needed39 40## Training procedure41 42### Training hyperparameters43 44The following hyperparameters were used during training:45- learning_rate: 1e-0546- train_batch_size: 3247- eval_batch_size: 3248- seed: 4249- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments50- lr_scheduler_type: linear51- num_epochs: 2052- mixed_precision_training: Native AMP53 54### Training results55 56| Training Loss | Epoch | Step | Validation Loss | Accuracy | 1-f1   | 1-recall | 1-precision | Balanced Acc |57|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|58| 0.0181        | 1.0   | 19   | 0.2482          | 0.9538   | 0.5161 | 0.9231   | 0.3582      | 0.9388       |59| 0.0008        | 2.0   | 38   | 0.2395          | 0.9671   | 0.5949 | 0.9038   | 0.4434      | 0.9363       |60| 0.0003        | 3.0   | 57   | 0.2997          | 0.9620   | 0.5647 | 0.9231   | 0.4068      | 0.9431       |61| 0.0005        | 4.0   | 76   | 0.2847          | 0.9625   | 0.5680 | 0.9231   | 0.4103      | 0.9433       |62 63 64### Framework versions65 66- Transformers 4.46.367- Pytorch 2.4.1+cu12168- Datasets 3.1.069- Tokenizers 0.20.370