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_bsample_305
results: []
populism_classifier_bsample_305
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: 0.5473
- Accuracy: 0.7933
- 1-f1: 0.2759
- 1-recall: 1.0
- 1-precision: 0.16
- Balanced Acc: 0.8924
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 |
|---|---|---|---|---|---|---|---|---|
| 0.2126 | 1.0 | 6 | 0.6266 | 0.7303 | 0.2260 | 1.0 | 0.1274 | 0.8596 |
| 0.1494 | 2.0 | 12 | 0.7913 | 0.6634 | 0.1896 | 1.0 | 0.1047 | 0.8248 |
| 0.1452 | 3.0 | 18 | 0.4205 | 0.8091 | 0.2920 | 1.0 | 0.1709 | 0.9006 |
| 0.0884 | 4.0 | 24 | 0.5279 | 0.7756 | 0.2597 | 1.0 | 0.1493 | 0.8832 |
| 0.0252 | 5.0 | 30 | 0.5473 | 0.7933 | 0.2759 | 1.0 | 0.16 | 0.8924 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.4.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3