---
library_name: transformers
license: apache-2.0
base_model: distilbert/distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: 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. -->

# router

This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2080
- Accuracy: 0.9221
- F1: 0.7601

## 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-06
- train_batch_size: 128
- eval_batch_size: 128
- 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: 20

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|
| 0.2283        | 1.0   | 990   | 0.1792          | 0.9208   | 0.7547 |
| 0.1719        | 2.0   | 1980  | 0.1717          | 0.9256   | 0.7648 |
| 0.1621        | 3.0   | 2970  | 0.1695          | 0.9285   | 0.7747 |
| 0.1555        | 4.0   | 3960  | 0.1708          | 0.9261   | 0.7695 |
| 0.1496        | 5.0   | 4950  | 0.1696          | 0.9271   | 0.7673 |
| 0.1455        | 6.0   | 5940  | 0.1716          | 0.9268   | 0.7648 |
| 0.1400        | 7.0   | 6930  | 0.1727          | 0.9257   | 0.7681 |
| 0.1351        | 8.0   | 7920  | 0.1756          | 0.9268   | 0.7700 |
| 0.1309        | 9.0   | 8910  | 0.1812          | 0.9249   | 0.7667 |
| 0.1273        | 10.0  | 9900  | 0.1817          | 0.9244   | 0.7654 |
| 0.1225        | 11.0  | 10890 | 0.1868          | 0.9216   | 0.7629 |
| 0.1192        | 12.0  | 11880 | 0.1903          | 0.9258   | 0.7687 |
| 0.1160        | 13.0  | 12870 | 0.1921          | 0.9225   | 0.7638 |
| 0.1134        | 14.0  | 13860 | 0.1955          | 0.9228   | 0.7604 |
| 0.1115        | 15.0  | 14850 | 0.2012          | 0.9238   | 0.7625 |
| 0.1085        | 16.0  | 15840 | 0.2024          | 0.9238   | 0.7598 |
| 0.1073        | 17.0  | 16830 | 0.2047          | 0.9228   | 0.7618 |
| 0.1049        | 18.0  | 17820 | 0.2059          | 0.9225   | 0.7613 |
| 0.1049        | 19.0  | 18810 | 0.2063          | 0.9229   | 0.7641 |
| 0.1041        | 20.0  | 19800 | 0.2080          | 0.9221   | 0.7601 |


### Framework versions

- Transformers 5.12.1
- Pytorch 2.11.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2