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 an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.1575
- F1: 0.5932
- Accuracy: 0.6911
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: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.SGD and the args are: No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Accuracy |
|---|---|---|---|---|---|
| 1.4075 | 1.0 | 164 | 1.2845 | 0.5763 | 0.6284 |
| 1.2963 | 2.0 | 328 | 1.2212 | 0.5962 | 0.6743 |
| 1.2658 | 3.0 | 492 | 1.1842 | 0.6031 | 0.6896 |
| 1.2241 | 4.0 | 656 | 1.1646 | 0.5929 | 0.6896 |
| 1.2063 | 5.0 | 820 | 1.1575 | 0.5932 | 0.6911 |
Framework versions
- Transformers 4.48.0.dev0
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.21.0