| --- |
| 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_341 |
| 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_341 |
|
|
| 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: 0.5546 |
| - Accuracy: 0.9231 |
| - 1-f1: 0.5806 |
| - 1-recall: 0.72 |
| - 1-precision: 0.4865 |
| - Balanced Acc: 0.8296 |
|
|
| ## 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: 64 |
| - eval_batch_size: 64 |
| - 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 | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:| |
| | 0.2094 | 1.0 | 22 | 0.4014 | 0.7160 | 0.3239 | 0.92 | 0.1966 | 0.8098 | |
| | 0.8705 | 2.0 | 44 | 0.4109 | 0.7396 | 0.3433 | 0.92 | 0.2110 | 0.8226 | |
| | 0.2203 | 3.0 | 66 | 0.3762 | 0.8846 | 0.5063 | 0.8 | 0.3704 | 0.8457 | |
| | 0.0783 | 4.0 | 88 | 0.3670 | 0.9260 | 0.6154 | 0.8 | 0.5 | 0.8681 | |
| | 0.3877 | 5.0 | 110 | 0.4687 | 0.9201 | 0.5970 | 0.8 | 0.4762 | 0.8649 | |
| | 0.6251 | 6.0 | 132 | 0.5353 | 0.9408 | 0.6552 | 0.76 | 0.5758 | 0.8576 | |
| | 0.017 | 7.0 | 154 | 0.5546 | 0.9231 | 0.5806 | 0.72 | 0.4865 | 0.8296 | |
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|
| ### Framework versions |
|
|
| - Transformers 4.46.3 |
| - Pytorch 2.4.1+cu121 |
| - Datasets 3.1.0 |
| - Tokenizers 0.20.3 |
|
|
