populism_classifier_342
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: 0.3594
- Accuracy: 0.9705
- 1-f1: 0.2319
- 1-recall: 0.2667
- 1-precision: 0.2051
- Balanced Acc: 0.6246
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: 64
- eval_batch_size: 64
- 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 |
|---|---|---|---|---|---|---|---|---|
| 0.4239 | 1.0 | 113 | 0.3015 | 0.9727 | 0.2462 | 0.2667 | 0.2286 | 0.6257 |
| 0.3776 | 2.0 | 226 | 0.3302 | 0.9761 | 0.1569 | 0.1333 | 0.1905 | 0.5619 |
| 0.6947 | 3.0 | 339 | 0.4051 | 0.9805 | 0.0 | 0.0 | 0.0 | 0.4986 |
| 0.0738 | 4.0 | 452 | 0.3594 | 0.9705 | 0.2319 | 0.2667 | 0.2051 | 0.6246 |
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_342
Base model
google-bert/bert-base-uncased