---
title: rag-rl
canonical_url: "https://www.modelscope.cn/models/qboodp/rag-rl"
md_url: "https://www.modelscope.cn/models/qboodp/rag-rl.md"
repository: qboodp/rag-rl
last_updated: 2026-05-08
model_type:
  - qwen2
architectures:
  - Qwen2ForCausalLM
parameters: 7.6B
tensor_type:
  - BF16
library_name:
  - safetensors
downloads: 29
stars: 0
tags:
  - generated_from_trainer
---

# rag-rl

> rag-rl - qboodp 在 ModelScope 开源的模型。Qwen-2.5-7B-base-RAG-RL

- **Repository**: qboodp/rag-rl
- **Parameters**: 7.6B
- **Tags**: generated_from_trainer
- **Downloads**: 29
- **Stars**: 0
- **Last updated**: 2026-05-08

Source: https://www.modelscope.cn/models/qboodp/rag-rl

---

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# Qwen-2.5-7B-base-RAG-RL

This model was trained from scratch on an unknown dataset.

## 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: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3.0

### Framework versions

- Transformers 4.46.3
- Pytorch 2.5.1+cu124
- Datasets 2.19.0
- Tokenizers 0.20.3