populism_model98
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: 0.8486
- Accuracy: 0.9321
- F1: 0.5075
- Recall: 0.5312
- Precision: 0.4857
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: 128
- eval_batch_size: 128
- 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: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Recall | Precision |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 16 | 0.5626 | 0.9198 | 0.4179 | 0.4375 | 0.4 |
| No log | 2.0 | 32 | 0.5516 | 0.9177 | 0.5455 | 0.75 | 0.4286 |
| No log | 3.0 | 48 | 0.5661 | 0.8827 | 0.4466 | 0.7188 | 0.3239 |
| 0.2414 | 4.0 | 64 | 0.5961 | 0.8951 | 0.4632 | 0.6875 | 0.3492 |
| 0.2414 | 5.0 | 80 | 0.8486 | 0.9321 | 0.5075 | 0.5312 | 0.4857 |
Framework versions
- Transformers 4.48.0.dev0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
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Model tree for AnonymousCS/populism_model98
Base model
answerdotai/ModernBERT-base