---
library_name: transformers
license: apache-2.0
base_model: google-bert/bert-base-uncased
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 [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4671
- F1: 1.0

## 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: 9

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1   |
|:-------------:|:-----:|:----:|:---------------:|:----:|
| No log        | 1.0   | 1    | 0.7026          | 0.82 |
| No log        | 2.0   | 2    | 0.6383          | 0.82 |
| No log        | 3.0   | 3    | 0.5799          | 0.82 |
| No log        | 4.0   | 4    | 0.4671          | 1.0  |
| No log        | 5.0   | 5    | 0.4164          | 1.0  |
| No log        | 6.0   | 6    | 0.4202          | 1.0  |
| No log        | 7.0   | 7    | 0.3868          | 1.0  |
| No log        | 8.0   | 8    | 0.3568          | 1.0  |
| No log        | 9.0   | 9    | 0.3463          | 1.0  |


### Framework versions

- Transformers 4.48.0.dev0
- Pytorch 2.4.1
- Datasets 3.1.0
- Tokenizers 0.21.0