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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_bsample_329
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_329
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: 1.8429
- Accuracy: 0.5961
- 1-f1: 0.1694
- 1-recall: 0.9545
- 1-precision: 0.0929
- Balanced Acc: 0.7672
## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
| 0.0819 | 1.0 | 7 | 0.7957 | 0.8196 | 0.3030 | 0.9091 | 0.1818 | 0.8623 |
| 0.0021 | 2.0 | 14 | 1.4295 | 0.6569 | 0.1860 | 0.9091 | 0.1036 | 0.7773 |
| 0.0212 | 3.0 | 21 | 0.6641 | 0.8333 | 0.3200 | 0.9091 | 0.1942 | 0.8695 |
| 0.0757 | 4.0 | 28 | 0.6985 | 0.8255 | 0.2992 | 0.8636 | 0.1810 | 0.8437 |
| 0.0015 | 5.0 | 35 | 1.8429 | 0.5961 | 0.1694 | 0.9545 | 0.0929 | 0.7672 |
### Framework versions
- Transformers 4.46.3
- Pytorch 2.4.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
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