| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: AnonymousCS/populism_multilingual_bert_uncased_v2 |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: antielite_classifier_all |
| 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. --> |
|
|
| # antielite_classifier_all |
|
|
| This model is a fine-tuned version of [AnonymousCS/populism_multilingual_bert_uncased_v2](https://huggingface.co/AnonymousCS/populism_multilingual_bert_uncased_v2) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.7651 |
| - Accuracy: 0.9293 |
| - 1-f1: 0.6331 |
| - 1-recall: 0.6543 |
| - 1-precision: 0.6133 |
| - Balanced Acc: 0.8060 |
|
|
| ## 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 OptimizerNames.ADAMW_TORCH_FUSED 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 | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:| |
| | 0.3031 | 1.0 | 871 | 0.3153 | 0.8819 | 0.5737 | 0.8522 | 0.4324 | 0.8686 | |
| | 0.2011 | 2.0 | 1742 | 0.3090 | 0.8848 | 0.5852 | 0.8714 | 0.4405 | 0.8788 | |
| | 0.1064 | 3.0 | 2613 | 0.5096 | 0.9195 | 0.6345 | 0.7498 | 0.5500 | 0.8434 | |
| | 0.0961 | 4.0 | 3484 | 0.7651 | 0.9293 | 0.6331 | 0.6543 | 0.6133 | 0.8060 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 5.8.0.dev0 |
| - Pytorch 2.10.0+cu128 |
| - Datasets 4.0.0 |
| - Tokenizers 0.22.2 |
| |
