modernbert-twitter-hate
This model is a fine-tuned version of answerdotai/ModernBERT-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5090
- Accuracy: 0.757
- Precision: 0.7026
- Recall: 0.7471
- F1: 0.7242
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: 2e-05
- train_batch_size: 32
- eval_batch_size: 32
- 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
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 282 | 0.5309 | 0.719 | 0.6834 | 0.6370 | 0.6594 |
| 0.4367 | 2.0 | 564 | 0.5090 | 0.757 | 0.7026 | 0.7471 | 0.7242 |
| 0.4367 | 3.0 | 846 | 0.6269 | 0.741 | 0.6900 | 0.7143 | 0.7020 |
Framework versions
- Transformers 4.57.6
- Pytorch 2.7.1+cu126
- Datasets 2.19.1
- Tokenizers 0.22.2