populism_model118
This model is a fine-tuned version of answerdotai/ModernBERT-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5348
- Accuracy: 0.8316
- 1-f1: 0.3025
- 1-recall: 0.5806
- 1-precision: 0.2045
- Balanced Acc: 0.7146
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 |
---|---|---|---|---|---|---|---|---|
0.6574 | 1.0 | 31 | 0.6219 | 0.9371 | 0.0 | 0.0 | 0.0 | 0.5 |
0.5536 | 2.0 | 62 | 0.5386 | 0.8661 | 0.3125 | 0.4839 | 0.2308 | 0.6878 |
0.4587 | 3.0 | 93 | 0.5348 | 0.8316 | 0.3025 | 0.5806 | 0.2045 | 0.7146 |
Framework versions
- Transformers 4.49.0.dev0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
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answerdotai/ModernBERT-base