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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_341
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_341
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: 0.5546
- Accuracy: 0.9231
- 1-f1: 0.5806
- 1-recall: 0.72
- 1-precision: 0.4865
- Balanced Acc: 0.8296
## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
| 0.2094 | 1.0 | 22 | 0.4014 | 0.7160 | 0.3239 | 0.92 | 0.1966 | 0.8098 |
| 0.8705 | 2.0 | 44 | 0.4109 | 0.7396 | 0.3433 | 0.92 | 0.2110 | 0.8226 |
| 0.2203 | 3.0 | 66 | 0.3762 | 0.8846 | 0.5063 | 0.8 | 0.3704 | 0.8457 |
| 0.0783 | 4.0 | 88 | 0.3670 | 0.9260 | 0.6154 | 0.8 | 0.5 | 0.8681 |
| 0.3877 | 5.0 | 110 | 0.4687 | 0.9201 | 0.5970 | 0.8 | 0.4762 | 0.8649 |
| 0.6251 | 6.0 | 132 | 0.5353 | 0.9408 | 0.6552 | 0.76 | 0.5758 | 0.8576 |
| 0.017 | 7.0 | 154 | 0.5546 | 0.9231 | 0.5806 | 0.72 | 0.4865 | 0.8296 |
### Framework versions
- Transformers 4.46.3
- Pytorch 2.4.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
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