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library_name: transformers
license: apache-2.0
base_model: AnonymousCS/populism_english_bert_large_cased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: populism_classifier_315
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_315
This model is a fine-tuned version of [AnonymousCS/populism_english_bert_large_cased](https://huggingface.co/AnonymousCS/populism_english_bert_large_cased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2852
- Accuracy: 0.9527
- 1-f1: 0.5556
- 1-recall: 0.4
- 1-precision: 0.9091
- Balanced Acc: 0.6984
## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
| 0.1878 | 1.0 | 22 | 0.4096 | 0.7485 | 0.3609 | 0.96 | 0.2222 | 0.8458 |
| 0.7696 | 2.0 | 44 | 0.3752 | 0.8846 | 0.5063 | 0.8 | 0.3704 | 0.8457 |
| 0.1811 | 3.0 | 66 | 0.5636 | 0.9201 | 0.5263 | 0.6 | 0.4688 | 0.7728 |
| 0.0429 | 4.0 | 88 | 0.9458 | 0.9556 | 0.6154 | 0.48 | 0.8571 | 0.7368 |
| 0.5734 | 5.0 | 110 | 1.2852 | 0.9527 | 0.5556 | 0.4 | 0.9091 | 0.6984 |
### Framework versions
- Transformers 4.46.3
- Pytorch 2.4.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
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