AnonymousCS/populism_model199

1---2library_name: transformers3license: apache-2.04base_model: AnonymousCS/populism_english_bert_large_cased5tags:6- generated_from_trainer7metrics:8- accuracy9model-index:10- name: populism_model19911  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_model19918 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: 0.944222- Accuracy: 0.962423- 1-f1: 0.444424- 1-recall: 0.3225- 1-precision: 0.727326- Balanced Acc: 0.657027 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 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| 0.5075        | 1.0   | 67   | 0.3576          | 0.9342   | 0.4615 | 0.6      | 0.375       | 0.7753       |59| 0.1615        | 2.0   | 134  | 0.7996          | 0.9643   | 0.4865 | 0.36     | 0.75        | 0.6770       |60| 0.062         | 3.0   | 201  | 0.9442          | 0.9624   | 0.4444 | 0.32     | 0.7273      | 0.6570       |61 62 63### Framework versions64 65- Transformers 4.49.0.dev066- Pytorch 2.5.1+cu12167- Datasets 3.2.068- Tokenizers 0.21.069