---
base_model: /data/modelscope/qwen/Qwen2-7B-Instruct
library_name: peft
license: other
tags:
- llama-factory
- lora
- generated_from_trainer
model-index:
- name: sft
  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. -->

# sft

This model is a fine-tuned version of [/data/modelscope/qwen/Qwen2-7B-Instruct](https://huggingface.co.//data/modelscope/qwen/Qwen2-7B-Instruct) on the llm-complex-reasoning-train-qwen2-72b-instruct-correct and the Infinity-Instruct-0625 datasets.
It achieves the following results on the evaluation set:
- Loss: 0.9800

## 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: 8
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 8
- total_train_batch_size: 256
- total_eval_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 2.0

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.0282        | 0.2122 | 100  | 1.0028          |
| 1.0122        | 0.4244 | 200  | 0.9917          |
| 0.9884        | 0.6366 | 300  | 0.9869          |
| 0.9771        | 0.8488 | 400  | 0.9841          |
| 0.9974        | 1.0610 | 500  | 0.9823          |
| 0.9934        | 1.2732 | 600  | 0.9813          |
| 0.9738        | 1.4854 | 700  | 0.9805          |
| 0.9744        | 1.6976 | 800  | 0.9801          |
| 0.9887        | 1.9098 | 900  | 0.9800          |


### Framework versions

- PEFT 0.12.0
- Transformers 4.43.4
- Pytorch 2.2.1
- Datasets 2.18.0
- Tokenizers 0.19.1