metadata
library_name: transformers
license: apache-2.0
base_model: answerdotai/ModernBERT-base
tags:
- generated_from_trainer
metrics:
- f1
- accuracy
model-index:
- name: modernbert-llm-router
results: []
modernbert-llm-router
This model is a fine-tuned version of answerdotai/ModernBERT-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6844
- F1: 0.5534
- Accuracy: 0.5597
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_HF 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 | Accuracy |
|---|---|---|---|---|---|
| 0.6886 | 1.0 | 113 | 0.6932 | 0.4420 | 0.5256 |
| 0.6775 | 2.0 | 226 | 0.6861 | 0.5520 | 0.5533 |
| 0.6663 | 3.0 | 339 | 0.6851 | 0.5524 | 0.5533 |
| 0.665 | 4.0 | 452 | 0.6842 | 0.5405 | 0.5405 |
| 0.6604 | 5.0 | 565 | 0.6844 | 0.5534 | 0.5597 |
Framework versions
- Transformers 4.48.0.dev0
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.21.0