populism_classifier_bsample_314
This model is a fine-tuned version of AnonymousCS/populism_english_bert_large_cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.3793
- Accuracy: 0.3475
- 1-f1: 0.0829
- 1-recall: 1.0
- 1-precision: 0.0433
- Balanced Acc: 0.6639
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 |
|---|---|---|---|---|---|---|---|---|
| 1.4809 | 1.0 | 4 | 0.5193 | 0.8852 | 0.1026 | 0.2222 | 0.0667 | 0.5638 |
| 0.3032 | 2.0 | 8 | 1.7352 | 0.1934 | 0.0682 | 1.0 | 0.0353 | 0.5845 |
| 0.2482 | 3.0 | 12 | 1.3793 | 0.3475 | 0.0829 | 1.0 | 0.0433 | 0.6639 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.4.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
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google-bert/bert-large-cased