---
library_name: transformers
license: other
base_model: Qwen/Qwen2.5-1.5B-Instruct
tags:
- llama-factory
- full
- generated_from_trainer
model-index:
- name: router--Qwen
  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--Qwen

This model is a fine-tuned version of [Qwen/Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct) on the router_multi and the router_single datasets.
It achieves the following results on the evaluation set:
- Loss: 0.0410
- Num Input Tokens Seen: 28301728

## 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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- num_epochs: 2.0

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Input Tokens Seen |
|:-------------:|:------:|:----:|:---------------:|:-----------------:|
| 0.1164        | 0.2833 | 200  | 0.1030          | 3969376           |
| 0.0821        | 0.5666 | 400  | 0.0944          | 7980480           |
| 0.1162        | 0.8499 | 600  | 0.0783          | 12021568          |
| 0.0613        | 1.1331 | 800  | 0.0695          | 16010784          |
| 0.0392        | 1.4164 | 1000 | 0.0553          | 20056096          |
| 0.0426        | 1.6997 | 1200 | 0.0459          | 24059776          |
| 0.0367        | 1.9830 | 1400 | 0.0410          | 28051872          |


### Framework versions

- Transformers 4.49.0
- Pytorch 2.6.0+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0