modernbert-llm-router
This model is a fine-tuned version of google-bert/bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3002
- F1: 0.9334
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: 16
- eval_batch_size: 8
- 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 |
|---|---|---|---|---|
| 0.9493 | 1.0 | 626 | 0.7644 | 0.8618 |
| 0.3244 | 2.0 | 1252 | 0.3694 | 0.9147 |
| 0.1659 | 3.0 | 1878 | 0.3169 | 0.9272 |
| 0.089 | 4.0 | 2504 | 0.2915 | 0.9356 |
| 0.0445 | 5.0 | 3130 | 0.3002 | 0.9334 |
Framework versions
- Transformers 4.51.2
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1
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Model tree for willu/modernbert-llm-router
Base model
google-bert/bert-base-uncased