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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_308
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_308
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: 0.9016
- Accuracy: 0.6511
- 1-f1: 0.1341
- 1-recall: 0.6875
- 1-precision: 0.0743
- Balanced Acc: 0.6686
## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
| 0.1745 | 1.0 | 4 | 1.2526 | 0.4324 | 0.1217 | 1.0 | 0.0648 | 0.7046 |
| 0.1847 | 2.0 | 8 | 0.8414 | 0.6290 | 0.1469 | 0.8125 | 0.0807 | 0.7170 |
| 0.1609 | 3.0 | 12 | 1.1042 | 0.5577 | 0.1429 | 0.9375 | 0.0773 | 0.7398 |
| 0.1047 | 4.0 | 16 | 0.9016 | 0.6511 | 0.1341 | 0.6875 | 0.0743 | 0.6686 |
### Framework versions
- Transformers 4.46.3
- Pytorch 2.4.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
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