modernbert-llm-router
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: 0.8366
- F1: 0.8161
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 |
|---|---|---|---|---|
| 0.7408 | 1.0 | 422 | 0.6885 | 0.7863 |
| 0.4746 | 2.0 | 844 | 0.6421 | 0.8101 |
| 0.2588 | 3.0 | 1266 | 0.7284 | 0.8099 |
| 0.1239 | 4.0 | 1688 | 0.8037 | 0.8181 |
| 0.0516 | 5.0 | 2110 | 0.8366 | 0.8161 |
Framework versions
- Transformers 4.48.0.dev0
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.21.0
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Model tree for Plurczynsky/modernbert-llm-router
Base model
answerdotai/ModernBERT-base