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library_name: transformers
license: apache-2.0
base_model: AnonymousCS/populism_english_bert_large_uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: populism_classifier_372
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_372
This model is a fine-tuned version of [AnonymousCS/populism_english_bert_large_uncased](https://huggingface.co/AnonymousCS/populism_english_bert_large_uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3161
- Accuracy: 0.9857
- 1-f1: 0.9057
- 1-recall: 0.8889
- 1-precision: 0.9231
- Balanced Acc: 0.9413
## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
| 0.3105 | 1.0 | 22 | 0.1109 | 0.9542 | 0.7647 | 0.9630 | 0.6341 | 0.9582 |
| 0.0309 | 2.0 | 44 | 0.0905 | 0.9857 | 0.9123 | 0.9630 | 0.8667 | 0.9753 |
| 0.0059 | 3.0 | 66 | 0.1699 | 0.9799 | 0.8727 | 0.8889 | 0.8571 | 0.9382 |
| 0.0009 | 4.0 | 88 | 0.4152 | 0.9771 | 0.84 | 0.7778 | 0.9130 | 0.8858 |
| 0.0004 | 5.0 | 110 | 0.3161 | 0.9857 | 0.9057 | 0.8889 | 0.9231 | 0.9413 |
### Framework versions
- Transformers 4.46.3
- Pytorch 2.4.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
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