populism_model144
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: 0.2712
- Accuracy: 0.9658
- 1-f1: 0.5797
- 1-recall: 0.6897
- 1-precision: 0.5
- Balanced Acc: 0.8326
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 |
---|---|---|---|---|---|---|---|---|
0.284 | 1.0 | 53 | 0.1867 | 0.9611 | 0.56 | 0.7241 | 0.4565 | 0.8468 |
0.1315 | 2.0 | 106 | 0.2109 | 0.9587 | 0.5679 | 0.7931 | 0.4423 | 0.8788 |
0.0792 | 3.0 | 159 | 0.2712 | 0.9658 | 0.5797 | 0.6897 | 0.5 | 0.8326 |
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_model144
Base model
answerdotai/ModernBERT-base