modernbert-llm-router
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: 0.7391
- F1: 0.2256
- Accuracy: 0.3119
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.SGD and the args are: No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Accuracy |
|---|---|---|---|---|---|
| No log | 1.0 | 82 | 0.7523 | 0.1805 | 0.2997 |
| 0.7455 | 2.0 | 164 | 0.7466 | 0.2000 | 0.3043 |
| 0.7401 | 3.0 | 246 | 0.7425 | 0.2159 | 0.3119 |
| 0.7331 | 4.0 | 328 | 0.7400 | 0.2252 | 0.3150 |
| 0.733 | 5.0 | 410 | 0.7391 | 0.2256 | 0.3119 |
Framework versions
- Transformers 4.48.0.dev0
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.21.0
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Model tree for RZJournal/modernbert-llm-router
Base model
answerdotai/ModernBERT-base