metadata
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_341
results: []
populism_classifier_bsample_341
This model is a fine-tuned version of AnonymousCS/populism_english_bert_base_uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0245
- Accuracy: 0.5869
- 1-f1: 0.2640
- 1-recall: 0.8667
- 1-precision: 0.1557
- Balanced Acc: 0.7137
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 |
|---|---|---|---|---|---|---|---|---|
| 0.1721 | 1.0 | 6 | 1.0157 | 0.5726 | 0.2574 | 0.8667 | 0.1512 | 0.7059 |
| 0.1457 | 2.0 | 12 | 1.1998 | 0.4957 | 0.2468 | 0.9667 | 0.1415 | 0.7092 |
| 0.0558 | 3.0 | 18 | 1.0245 | 0.5869 | 0.2640 | 0.8667 | 0.1557 | 0.7137 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.4.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3