modernbert-llm-router
This model is a fine-tuned version of google-bert/bert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0253
- F1: 0.6769
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 |
|---|---|---|---|---|
| No log | 1.0 | 46 | 0.8560 | 0.6350 |
| No log | 2.0 | 92 | 0.8726 | 0.6121 |
| 0.812 | 3.0 | 138 | 0.8947 | 0.6817 |
| 0.812 | 4.0 | 184 | 1.0007 | 0.6621 |
| 0.3515 | 5.0 | 230 | 1.0253 | 0.6769 |
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 Vera-ZWY/modernbert-llm-router
Base model
google-bert/bert-base-uncased