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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_339
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_339
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: 0.8178
- Accuracy: 0.9366
- 1-f1: 0.4046
- 1-recall: 0.4511
- 1-precision: 0.3667
- Balanced Acc: 0.7060
## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
| 0.5714 | 1.0 | 871 | 0.3874 | 0.9182 | 0.4019 | 0.5759 | 0.3086 | 0.7556 |
| 0.2029 | 2.0 | 1742 | 0.3685 | 0.8897 | 0.3770 | 0.6992 | 0.2580 | 0.7992 |
| 0.0709 | 3.0 | 2613 | 0.5978 | 0.9451 | 0.3855 | 0.3609 | 0.4138 | 0.6676 |
| 0.084 | 4.0 | 3484 | 0.5866 | 0.9262 | 0.4078 | 0.5323 | 0.3305 | 0.7391 |
| 0.0702 | 5.0 | 4355 | 0.8178 | 0.9366 | 0.4046 | 0.4511 | 0.3667 | 0.7060 |
### Framework versions
- Transformers 4.46.3
- Pytorch 2.4.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
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