AnonymousCS/populism_model129

1---2library_name: transformers3license: apache-2.04base_model: AnonymousCS/populism_multilingual_modernbert_base5tags:6- generated_from_trainer7metrics:8- accuracy9model-index:10- name: populism_model12911  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_model12918 19This model is a fine-tuned version of [AnonymousCS/populism_multilingual_modernbert_base](https://huggingface.co/AnonymousCS/populism_multilingual_modernbert_base) on the None dataset.20It achieves the following results on the evaluation set:21- Loss: 0.409922- Accuracy: 0.946023- 1-f1: 0.526324- 1-recall: 0.571425- 1-precision: 0.487826- Balanced Acc: 0.769127 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 OptimizerNames.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: 352- 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| 0.4266        | 1.0   | 42   | 0.2714          | 0.8876   | 0.4275 | 0.8      | 0.2917      | 0.8462       |59| 0.1876        | 2.0   | 84   | 0.3244          | 0.9235   | 0.4632 | 0.6286   | 0.3667      | 0.7842       |60| 0.1278        | 3.0   | 126  | 0.4099          | 0.9460   | 0.5263 | 0.5714   | 0.4878      | 0.7691       |61 62 63### Framework versions64 65- Transformers 4.49.0.dev066- Pytorch 2.5.1+cu12167- Datasets 3.2.068- Tokenizers 0.21.069