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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_307
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_307
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: 0.6842
- Accuracy: 0.8457
- 1-f1: 0.4043
- 1-recall: 0.5938
- 1-precision: 0.3065
- Balanced Acc: 0.7319
## 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: 128
- eval_batch_size: 128
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
| 0.8296 | 1.0 | 12 | 0.5056 | 0.8430 | 0.4242 | 0.6562 | 0.3134 | 0.7586 |
| 0.4234 | 2.0 | 24 | 0.5349 | 0.8402 | 0.3696 | 0.5312 | 0.2833 | 0.7007 |
| 0.454 | 3.0 | 36 | 0.5004 | 0.8264 | 0.3883 | 0.625 | 0.2817 | 0.7355 |
| 0.1829 | 4.0 | 48 | 0.5396 | 0.8182 | 0.3889 | 0.6562 | 0.2763 | 0.7450 |
| 0.2156 | 5.0 | 60 | 0.6842 | 0.8457 | 0.4043 | 0.5938 | 0.3065 | 0.7319 |
### Framework versions
- Transformers 4.46.3
- Pytorch 2.4.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
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