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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_bsample_355
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_355
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: 1.1758
- Accuracy: 0.7216
- 1-f1: 0.2022
- 1-recall: 0.8182
- 1-precision: 0.1154
- Balanced Acc: 0.7677
## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
| 0.1308 | 1.0 | 7 | 1.0861 | 0.6902 | 0.1939 | 0.8636 | 0.1092 | 0.7730 |
| 0.0159 | 2.0 | 14 | 1.0770 | 0.6941 | 0.1959 | 0.8636 | 0.1105 | 0.7751 |
| 0.044 | 3.0 | 21 | 0.9541 | 0.7275 | 0.2147 | 0.8636 | 0.1226 | 0.7925 |
| 0.0138 | 4.0 | 28 | 1.2729 | 0.6294 | 0.1747 | 0.9091 | 0.0966 | 0.7629 |
| 0.0277 | 5.0 | 35 | 0.9506 | 0.7608 | 0.2278 | 0.8182 | 0.1324 | 0.7882 |
| 0.0116 | 6.0 | 42 | 0.9691 | 0.7706 | 0.2353 | 0.8182 | 0.1374 | 0.7933 |
| 0.0169 | 7.0 | 49 | 1.1758 | 0.7216 | 0.2022 | 0.8182 | 0.1154 | 0.7677 |
### Framework versions
- Transformers 4.46.3
- Pytorch 2.4.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
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