modernbert-llm-router-lora
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: 3.5333
- F1: 0.1301
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: 0.0001
- train_batch_size: 64
- eval_batch_size: 32
- seed: 42
- optimizer: Use 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: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 4.1525 | 1.0 | 157 | 3.5333 | 0.1301 |
Framework versions
- PEFT 0.15.0
- Transformers 4.49.0
- Pytorch 2.6.0+cu118
- Datasets 3.1.0
- Tokenizers 0.21.1
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Model tree for caihx/modernbert-llm-router-lora
Base model
answerdotai/ModernBERT-base