---
library_name: peft
license: apache-2.0
base_model: Qwen/Qwen2.5-7B-Instruct
tags:
- llama-factory
- generated_from_trainer
model-index:
- name: arxiv_cs_finetune_qwen2.5_7b_v1
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# arxiv_cs_finetune_qwen2.5_7b_v1

This model is a fine-tuned version of [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6724

## 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: 2e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- total_eval_batch_size: 2
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1.0

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.7148        | 0.1633 | 6    | 0.7400          |
| 0.6446        | 0.3265 | 12   | 0.7394          |
| 0.6581        | 0.4898 | 18   | 0.7079          |
| 0.6431        | 0.6531 | 24   | 0.6839          |
| 0.6884        | 0.8163 | 30   | 0.6729          |
| 0.6272        | 0.9796 | 36   | 0.6724          |


### Framework versions

- PEFT 0.14.0
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1