---
license: apache-2.0
base_model: hZzy/qwen2.5-0.5b-sft-news-IFT
tags:
- alignment-handbook
- ndcg
- trl
- expo
- generated_from_trainer
- trl
- expo
- generated_from_trainer
datasets:
- hZzy/train_pairwise_weighted
model-index:
- name: qwen2.5-0.5b-expo-DPO-W0-noES5-1
  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. -->

[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/zhiyuzha-university-of-florida/huggingface/runs/lx1rq3a0)
# qwen2.5-0.5b-expo-DPO-W0-noES5-1

This model is a fine-tuned version of [hZzy/qwen2.5-0.5b-sft-news-IFT](https://huggingface.co/hZzy/qwen2.5-0.5b-sft-news-IFT) on the hZzy/train_pairwise_weighted dataset.
It achieves the following results on the evaluation set:
- Loss: 883.8085
- Logps: -80.9858
- Logits: -0.7331
- Objective: 840.0047
- Dpo Loss: 1.9391
- Regularize: 1.9391
- Ranking Simple: 0.5419
- Wo Beta: 6.8860

## 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-06
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 3
- gradient_accumulation_steps: 12
- total_train_batch_size: 144
- total_eval_batch_size: 12
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Logps    | Logits  | Objective | Dpo Loss | Regularize | Ranking Simple | Wo Beta |
|:-------------:|:------:|:----:|:---------------:|:--------:|:-------:|:---------:|:--------:|:----------:|:--------------:|:-------:|
| 421.2896      | 0.1417 | 50   | 429.8647        | -92.0336 | -1.3989 | 424.8991  | 0.9812   | 0.9812     | 0.5243         | 7.8078  |
| 504.7676      | 0.2834 | 100  | 586.4431        | -92.6050 | -1.2546 | 565.0956  | 1.2757   | 1.2757     | 0.5336         | 7.4997  |
| 647.489       | 0.4251 | 150  | 806.8841        | -81.5770 | -1.2821 | 788.4058  | 1.8202   | 1.8202     | 0.5367         | 7.2972  |
| 549.7892      | 0.5668 | 200  | 883.9946        | -76.2048 | -1.1825 | 832.8786  | 1.8889   | 1.8889     | 0.5316         | 7.1899  |
| 598.0575      | 0.7085 | 250  | 912.8014        | -79.1561 | -1.0494 | 878.0984  | 2.0106   | 2.0106     | 0.5316         | 7.1417  |
| 490.4698      | 0.8503 | 300  | 908.3519        | -84.3491 | -0.8243 | 883.9852  | 2.0489   | 2.0489     | 0.5373         | 6.9721  |
| 374.0952      | 0.9920 | 350  | 968.3278        | -82.5209 | -0.7335 | 906.4931  | 2.0826   | 2.0826     | 0.5342         | 6.9381  |
| 270.3782      | 1.1337 | 400  | 980.7469        | -79.6276 | -0.6857 | 943.6777  | 2.1842   | 2.1842     | 0.5316         | 7.0585  |
| 260.6353      | 1.2754 | 450  | 933.4417        | -79.3049 | -0.8704 | 893.1430  | 2.0753   | 2.0753     | 0.5357         | 6.9556  |
| 272.6055      | 1.4171 | 500  | 950.2914        | -81.4393 | -0.8079 | 901.2256  | 2.0878   | 2.0878     | 0.5269         | 6.8227  |
| 201.6789      | 1.5588 | 550  | 942.4045        | -82.8839 | -0.8612 | 899.7697  | 2.0626   | 2.0626     | 0.5362         | 6.8595  |
| 190.6931      | 1.7005 | 600  | 909.0859        | -80.5821 | -0.7143 | 874.9576  | 2.0213   | 2.0213     | 0.5362         | 6.8605  |
| 308.8635      | 1.8422 | 650  | 903.3456        | -81.4960 | -0.7771 | 858.3967  | 1.9757   | 1.9757     | 0.5342         | 6.7432  |
| 176.7641      | 1.9839 | 700  | 901.6802        | -80.9281 | -0.6642 | 855.0222  | 1.9719   | 1.9719     | 0.5399         | 6.8200  |
| 56.904        | 2.1256 | 750  | 887.2380        | -81.6086 | -0.7334 | 839.1237  | 1.9393   | 1.9393     | 0.5388         | 6.8787  |
| 63.8462       | 2.2674 | 800  | 877.9467        | -81.2591 | -0.7491 | 832.3641  | 1.9230   | 1.9230     | 0.5388         | 6.8255  |
| 60.559        | 2.4091 | 850  | 876.0621        | -81.4314 | -0.7166 | 834.9629  | 1.9304   | 1.9304     | 0.5393         | 6.8969  |
| 61.5447       | 2.5508 | 900  | 885.5046        | -81.6223 | -0.7120 | 842.5768  | 1.9455   | 1.9455     | 0.5414         | 6.9054  |
| 76.2992       | 2.6925 | 950  | 885.0244        | -81.0106 | -0.7336 | 840.8616  | 1.9409   | 1.9409     | 0.5414         | 6.8752  |
| 65.003        | 2.8342 | 1000 | 883.8387        | -80.9709 | -0.7340 | 839.7760  | 1.9386   | 1.9386     | 0.5419         | 6.8808  |
| 59.5302       | 2.9759 | 1050 | 883.8083        | -80.9858 | -0.7331 | 840.0045  | 1.9391   | 1.9391     | 0.5419         | 6.8860  |


### Framework versions

- Transformers 4.42.0
- Pytorch 2.3.0+cu121
- Datasets 3.2.0
- Tokenizers 0.19.1