metadata
library_name: peft
license: apache-2.0
base_model: answerdotai/ModernBERT-base
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: modernbert-llm-router-lora
results: []
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: 0.4917
- F1: 0.8747
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 4.0307 | 1.0 | 157 | 1.9487 | 0.4809 |
| 1.0611 | 2.0 | 314 | 0.8550 | 0.7829 |
| 0.7065 | 3.0 | 471 | 0.6126 | 0.8407 |
| 0.4621 | 4.0 | 628 | 0.5273 | 0.8643 |
| 0.4059 | 5.0 | 785 | 0.4917 | 0.8747 |
Framework versions
- PEFT 0.15.0
- Transformers 4.49.0
- Pytorch 2.6.0+cu118
- Datasets 3.1.0
- Tokenizers 0.21.1