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library_name: transformers
license: apache-2.0
base_model: AnonymousCS/populism_english_bert_base_cased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: populism_classifier_bsample_288
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_288
This model is a fine-tuned version of [AnonymousCS/populism_english_bert_base_cased](https://huggingface.co/AnonymousCS/populism_english_bert_base_cased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5732
- Accuracy: 0.3541
- 1-f1: 0.0837
- 1-recall: 1.0
- 1-precision: 0.0437
- Balanced Acc: 0.6672
## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
| 0.2947 | 1.0 | 4 | 1.8268 | 0.2066 | 0.0692 | 1.0 | 0.0359 | 0.5912 |
| 0.319 | 2.0 | 8 | 1.9775 | 0.2262 | 0.0709 | 1.0 | 0.0367 | 0.6014 |
| 0.2726 | 3.0 | 12 | 1.5093 | 0.3410 | 0.0822 | 1.0 | 0.0429 | 0.6605 |
| 0.2928 | 4.0 | 16 | 1.8543 | 0.2393 | 0.072 | 1.0 | 0.0373 | 0.6081 |
| 0.1903 | 5.0 | 20 | 1.3790 | 0.3574 | 0.0841 | 1.0 | 0.0439 | 0.6689 |
| 0.1635 | 6.0 | 24 | 2.0319 | 0.2361 | 0.0717 | 1.0 | 0.0372 | 0.6064 |
| 0.2259 | 7.0 | 28 | 1.5732 | 0.3541 | 0.0837 | 1.0 | 0.0437 | 0.6672 |
### Framework versions
- Transformers 4.46.3
- Pytorch 2.4.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
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