|
--- |
|
library_name: transformers |
|
license: apache-2.0 |
|
base_model: answerdotai/ModernBERT-base |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- f1 |
|
model-index: |
|
- name: modernbert-llm-router |
|
results: [] |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
# modernbert-llm-router |
|
|
|
This model is a fine-tuned version of [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.0367 |
|
- F1: 0.9921 |
|
|
|
## 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 | |
|
|:-------------:|:-----:|:----:|:---------------:|:------:| |
|
| 0.0395 | 1.0 | 479 | 0.0380 | 0.9893 | |
|
| 0.0283 | 2.0 | 958 | 0.0385 | 0.9913 | |
|
| 0.0165 | 3.0 | 1437 | 0.0380 | 0.9919 | |
|
| 0.0067 | 4.0 | 1916 | 0.0373 | 0.9921 | |
|
| 0.0106 | 5.0 | 2395 | 0.0367 | 0.9921 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.48.0.dev0 |
|
- Pytorch 2.5.1+cu121 |
|
- Datasets 3.1.0 |
|
- Tokenizers 0.21.0 |
|
|
