---
base_model: Qwen/Qwen2.5-32B-Instruct
library_name: peft
license: other
tags:
- llama-factory
- lora
- generated_from_trainer
model-index:
- name: v11
  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. -->

# v11

This model is a fine-tuned version of [Qwen/Qwen2.5-32B-Instruct](https://huggingface.co/Qwen/Qwen2.5-32B-Instruct) on the freede_router dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2651

## 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: 1.5e-05
- train_batch_size: 2
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- total_eval_batch_size: 2
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine_with_restarts
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 7.0

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.7767        | 0.7782 | 50   | 0.7420          |
| 0.4193        | 1.5564 | 100  | 0.4160          |
| 0.2815        | 2.3346 | 150  | 0.3077          |
| 0.2131        | 3.1128 | 200  | 0.2698          |
| 0.2117        | 3.8911 | 250  | 0.2534          |
| 0.1512        | 4.6693 | 300  | 0.2489          |
| 0.1235        | 5.4475 | 350  | 0.2626          |
| 0.126         | 6.2451 | 400  | 0.2628          |


### Framework versions

- PEFT 0.12.0
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1