ModernBERT-large-llm-router
This model is a fine-tuned version of answerdotai/ModernBERT-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0471
- F1: 0.9923
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: 5e-05
- train_batch_size: 32
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.0292 | 1.0 | 479 | 0.0275 | 0.9905 |
| 0.0099 | 2.0 | 958 | 0.0398 | 0.9909 |
| 0.0011 | 3.0 | 1437 | 0.0710 | 0.9923 |
| 0.0006 | 4.0 | 1916 | 0.0451 | 0.9923 |
| 0.0006 | 5.0 | 2395 | 0.0471 | 0.9923 |
Framework versions
- Transformers 4.51.0.dev0
- Pytorch 2.6.0+cu124
- Datasets 3.1.0
- Tokenizers 0.21.1