---
library_name: transformers
license: other
base_model: Qwen/Qwen2.5-7B-Instruct
tags:
- llama-factory
- full
- generated_from_trainer
model-index:
- name: dpo_v16
  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. -->

# dpo_v16

This model is a fine-tuned version of [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) on the dpo_mcts_rag_v8 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8564
- Rewards/chosen: 1.0146
- Rewards/rejected: -0.5767
- Rewards/accuracies: 0.6204
- Rewards/margins: 1.5913
- Logps/chosen: -65.8051
- Logps/rejected: -74.8917
- Logits/chosen: -0.5108
- Logits/rejected: -0.5206

## 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: 1e-06
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 3
- gradient_accumulation_steps: 4
- total_train_batch_size: 12
- total_eval_batch_size: 3
- 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
- lr_scheduler_warmup_ratio: 0.2
- num_epochs: 1.0

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/chosen | Logps/rejected | Logits/chosen | Logits/rejected |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:------------:|:--------------:|:-------------:|:---------------:|
| 0.9257        | 0.4352 | 500  | 0.9691          | 1.0721         | -0.2211          | 0.6171             | 1.2933          | -65.6133     | -73.7064       | -0.5575       | -0.5659         |
| 0.7847        | 0.8703 | 1000 | 0.8689          | 0.7341         | -0.9130          | 0.6223             | 1.6471          | -66.7400     | -76.0126       | -0.5218       | -0.5319         |


### Framework versions

- Transformers 4.49.0
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0