populism_classifier_bsample_340
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: 1.3286
- Accuracy: 0.3639
- 1-f1: 0.0849
- 1-recall: 1.0
- 1-precision: 0.0443
- Balanced Acc: 0.6723
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 |
|---|---|---|---|---|---|---|---|---|
| 1.2572 | 1.0 | 4 | 0.4853 | 0.8230 | 0.1290 | 0.4444 | 0.0755 | 0.6395 |
| 0.3114 | 2.0 | 8 | 1.9204 | 0.1672 | 0.0662 | 1.0 | 0.0342 | 0.5709 |
| 0.2611 | 3.0 | 12 | 1.3286 | 0.3639 | 0.0849 | 1.0 | 0.0443 | 0.6723 |
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_340
Base model
google-bert/bert-base-uncased