populism_classifier_bsample_374
This model is a fine-tuned version of AnonymousCS/populism_english_bert_large_uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7845
- Accuracy: 0.8507
- 1-f1: 0.2353
- 1-recall: 0.8
- 1-precision: 0.1379
- Balanced Acc: 0.8261
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 |
|---|---|---|---|---|---|---|---|---|
| 0.0322 | 1.0 | 9 | 0.5912 | 0.9277 | 0.3368 | 0.64 | 0.2286 | 0.7881 |
| 0.0052 | 2.0 | 18 | 1.2067 | 0.7313 | 0.1702 | 0.96 | 0.0934 | 0.8423 |
| 0.0275 | 3.0 | 27 | 0.7845 | 0.8507 | 0.2353 | 0.8 | 0.1379 | 0.8261 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.4.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
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Model tree for AnonymousCS/populism_classifier_bsample_374
Base model
google-bert/bert-large-uncased