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library_name: transformers
license: apache-2.0
base_model: AnonymousCS/populism_english_bert_large_cased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: populism_classifier_326
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_326
This 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.
It achieves the following results on the evaluation set:
- Loss: 0.2419
- Accuracy: 0.9929
- 1-f1: 0.8727
- 1-recall: 0.8421
- 1-precision: 0.9057
- Balanced Acc: 0.9197
## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
| 0.1833 | 1.0 | 124 | 0.1742 | 0.9590 | 0.5091 | 0.7368 | 0.3889 | 0.8512 |
| 0.1031 | 2.0 | 248 | 0.1743 | 0.9833 | 0.7130 | 0.7193 | 0.7069 | 0.8552 |
| 0.0298 | 3.0 | 372 | 0.1666 | 0.9848 | 0.7458 | 0.7719 | 0.7213 | 0.8815 |
| 0.0065 | 4.0 | 496 | 0.2741 | 0.9889 | 0.78 | 0.6842 | 0.9070 | 0.8411 |
| 0.0008 | 5.0 | 620 | 0.1625 | 0.9899 | 0.8246 | 0.8246 | 0.8246 | 0.9097 |
| 0.0109 | 6.0 | 744 | 0.2292 | 0.9924 | 0.8649 | 0.8421 | 0.8889 | 0.9195 |
| 0.0002 | 7.0 | 868 | 0.2173 | 0.9904 | 0.8348 | 0.8421 | 0.8276 | 0.9184 |
| 0.0007 | 8.0 | 992 | 0.2419 | 0.9929 | 0.8727 | 0.8421 | 0.9057 | 0.9197 |
### Framework versions
- Transformers 4.46.3
- Pytorch 2.4.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
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