---
library_name: transformers
license: other
base_model: qnguyen3/vylinh-qwen-3b-merged
tags:
- llama-factory
- full
- generated_from_trainer
model-index:
- name: vylinh-dpo-v4
  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. -->

# vylinh-dpo-v4

This model is a fine-tuned version of [qnguyen3/vylinh-qwen-3b-merged](https://huggingface.co/qnguyen3/vylinh-qwen-3b-merged) on the dpo_mix_vi dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4053
- Rewards/chosen: 2.9905
- Rewards/rejected: -1.6223
- Rewards/accuracies: 0.7143
- Rewards/margins: 4.6128
- Logps/rejected: -596.4308
- Logps/chosen: -706.0082
- Logits/rejected: -2.3770
- Logits/chosen: -2.8608

## 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-07
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- total_eval_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 4.0

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.3646        | 0.9995 | 1368 | 0.3423          | 3.0067         | 0.1768           | 0.7143             | 2.8299          | -578.4399      | -705.8457    | -2.3914         | -2.8822       |
| 0.1542        | 1.9996 | 2737 | 0.3495          | 2.9122         | -0.7397          | 0.75               | 3.6519          | -587.6050      | -706.7914    | -2.3921         | -2.8787       |
| 0.0501        | 2.9998 | 4106 | 0.3891          | 3.0809         | -1.3165          | 0.7143             | 4.3974          | -593.3735      | -705.1045    | -2.3870         | -2.8676       |
| 0.0124        | 3.9978 | 5472 | 0.4053          | 2.9905         | -1.6223          | 0.7143             | 4.6128          | -596.4308      | -706.0082    | -2.3770         | -2.8608       |


### Framework versions

- Transformers 4.45.2
- Pytorch 2.5.0+cu121
- Datasets 2.21.0
- Tokenizers 0.20.1