metadata
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_298
results: []
populism_classifier_298
This model is a fine-tuned version of AnonymousCS/populism_english_bert_base_cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2398
- Accuracy: 0.9381
- 1-f1: 0.6575
- 1-recall: 0.8889
- 1-precision: 0.5217
- Balanced Acc: 0.9153
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 |
|---|---|---|---|---|---|---|---|---|
| 0.3267 | 1.0 | 13 | 0.2037 | 0.9307 | 0.6410 | 0.9259 | 0.4902 | 0.9285 |
| 0.2462 | 2.0 | 26 | 0.2556 | 0.9431 | 0.6567 | 0.8148 | 0.55 | 0.8835 |
| 0.1983 | 3.0 | 39 | 0.2398 | 0.9381 | 0.6575 | 0.8889 | 0.5217 | 0.9153 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.4.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3