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: 0.2853
- F1: 0.9325
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 |
|---|---|---|---|---|
| 1.6526 | 1.0 | 313 | 1.2336 | 0.7809 |
| 0.5409 | 2.0 | 626 | 0.4832 | 0.9078 |
| 0.2566 | 3.0 | 939 | 0.3428 | 0.9236 |
| 0.1322 | 4.0 | 1252 | 0.3046 | 0.9297 |
| 0.0747 | 5.0 | 1565 | 0.2853 | 0.9325 |
Framework versions
- Transformers 4.48.0.dev0
- Pytorch 2.6.0+cu124
- Datasets 3.1.0
- Tokenizers 0.21.0
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Model tree for callaghanmt/modernbert-llm-router
Base model
google-bert/bert-base-uncased