populism_model122
This model is a fine-tuned version of AnonymousCS/populism_multilingual_modernbert_base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3858
- Accuracy: 0.9416
- 1-f1: 0.5874
- 1-recall: 0.7
- 1-precision: 0.5060
- Balanced Acc: 0.8284
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 OptimizerNames.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: 3
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy | 1-f1 | 1-recall | 1-precision | Balanced Acc |
---|---|---|---|---|---|---|---|---|
0.3338 | 1.0 | 127 | 0.3019 | 0.8856 | 0.4738 | 0.8667 | 0.3260 | 0.8767 |
0.1851 | 2.0 | 254 | 0.4189 | 0.9356 | 0.5221 | 0.5917 | 0.4671 | 0.7745 |
0.1282 | 3.0 | 381 | 0.3858 | 0.9416 | 0.5874 | 0.7 | 0.5060 | 0.8284 |
Framework versions
- Transformers 4.49.0.dev0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
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Model tree for AnonymousCS/populism_model122
Base model
answerdotai/ModernBERT-base