AnonymousCS/populism_classifier_326

1---2library_name: transformers3license: apache-2.04base_model: AnonymousCS/populism_english_bert_large_cased5tags:6- generated_from_trainer7metrics:8- accuracy9model-index:10- name: populism_classifier_32611  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_32618 19This 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.20It achieves the following results on the evaluation set:21- Loss: 0.241922- Accuracy: 0.992923- 1-f1: 0.872724- 1-recall: 0.842125- 1-precision: 0.905726- Balanced Acc: 0.919727 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: 6447- eval_batch_size: 6448- 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| 0.1833        | 1.0   | 124  | 0.1742          | 0.9590   | 0.5091 | 0.7368   | 0.3889      | 0.8512       |59| 0.1031        | 2.0   | 248  | 0.1743          | 0.9833   | 0.7130 | 0.7193   | 0.7069      | 0.8552       |60| 0.0298        | 3.0   | 372  | 0.1666          | 0.9848   | 0.7458 | 0.7719   | 0.7213      | 0.8815       |61| 0.0065        | 4.0   | 496  | 0.2741          | 0.9889   | 0.78   | 0.6842   | 0.9070      | 0.8411       |62| 0.0008        | 5.0   | 620  | 0.1625          | 0.9899   | 0.8246 | 0.8246   | 0.8246      | 0.9097       |63| 0.0109        | 6.0   | 744  | 0.2292          | 0.9924   | 0.8649 | 0.8421   | 0.8889      | 0.9195       |64| 0.0002        | 7.0   | 868  | 0.2173          | 0.9904   | 0.8348 | 0.8421   | 0.8276      | 0.9184       |65| 0.0007        | 8.0   | 992  | 0.2419          | 0.9929   | 0.8727 | 0.8421   | 0.9057      | 0.9197       |66 67 68### Framework versions69 70- Transformers 4.46.371- Pytorch 2.4.1+cu12172- Datasets 3.1.073- Tokenizers 0.20.374