| --- |
| 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_bsample_363 |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # populism_classifier_bsample_363 |
| |
| 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: 1.1737 |
| - Accuracy: 0.7252 |
| - 1-f1: 0.2174 |
| - 1-recall: 0.6757 |
| - 1-precision: 0.1295 |
| - Balanced Acc: 0.7019 |
| |
| ## 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: 32 |
| - eval_batch_size: 32 |
| - 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 | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:| |
| | 0.2716 | 1.0 | 9 | 1.0455 | 0.7969 | 0.2570 | 0.6216 | 0.1620 | 0.7145 | |
| | 0.1207 | 2.0 | 18 | 1.4628 | 0.5786 | 0.1786 | 0.8108 | 0.1003 | 0.6878 | |
| | 0.1319 | 3.0 | 27 | 0.9943 | 0.7359 | 0.2172 | 0.6486 | 0.1304 | 0.6949 | |
| | 0.0606 | 4.0 | 36 | 1.1237 | 0.7084 | 0.2075 | 0.6757 | 0.1225 | 0.6930 | |
| | 0.1509 | 5.0 | 45 | 1.1737 | 0.7252 | 0.2174 | 0.6757 | 0.1295 | 0.7019 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.46.3 |
| - Pytorch 2.4.1+cu121 |
| - Datasets 3.1.0 |
| - Tokenizers 0.20.3 |
| |
