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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_302
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_302
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: 0.8384
- Accuracy: 0.6082
- 1-f1: 0.3226
- 1-recall: 1.0
- 1-precision: 0.1923
- Balanced Acc: 0.7840
## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
| 0.134 | 1.0 | 4 | 1.2794 | 0.4478 | 0.2525 | 1.0 | 0.1445 | 0.6955 |
| 0.0909 | 2.0 | 8 | 0.7623 | 0.5784 | 0.3067 | 1.0 | 0.1812 | 0.7675 |
| 0.0908 | 3.0 | 12 | 0.5619 | 0.6791 | 0.3676 | 1.0 | 0.2252 | 0.8230 |
| 0.0468 | 4.0 | 16 | 0.7656 | 0.6119 | 0.3247 | 1.0 | 0.1938 | 0.7860 |
| 0.0509 | 5.0 | 20 | 0.8384 | 0.6082 | 0.3226 | 1.0 | 0.1923 | 0.7840 |
### Framework versions
- Transformers 4.46.3
- Pytorch 2.4.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
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