---
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-L2EXPO-ES-0.001
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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[<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/1mxe21by)
# qwen2.5-0.5b-expo-L2EXPO-ES-0.001

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: 0.3942
- Logps: -573.5075
- Logits: -8.8910
- Objective: 0.3931
- Dpo Loss: 0.6728
- Regularize: 0.3931
- Ranking Simple: 0.6102
- Ranking Idealized: 0.9871
- Ranking Idealized Expo: 0.6320
- Wo Beta: 160.3578

## 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: 5

### Training results

| Training Loss | Epoch  | Step | Dpo Loss | Logits   | Logps     | Validation Loss | Objective | Ranking Idealized | Ranking Idealized Expo | Ranking Simple | Regularize | Wo Beta  |
|:-------------:|:------:|:----:|:--------:|:--------:|:---------:|:---------------:|:---------:|:-----------------:|:----------------------:|:--------------:|:----------:|:--------:|
| 0.418         | 0.1417 | 50   | 0.6927   | -1.8105  | -107.4392 | 0.4150          | 0.4128    | 0.9871            | 0.6320                 | 0.5352         | 0.4128     | 22.0269  |
| 0.416         | 0.2834 | 100  | 0.6896   | -2.0485  | -230.8855 | 0.4087          | 0.4081    | 0.9871            | 0.6320                 | 0.5559         | 0.4081     | 52.9494  |
| 0.387         | 0.4251 | 150  | 0.6844   | -3.9840  | -343.5519 | 0.4032          | 0.4021    | 0.9871            | 0.6320                 | 0.5766         | 0.4021     | 90.2215  |
| 0.3587        | 0.5668 | 200  | 0.6754   | -6.1681  | -390.3867 | 0.3917          | 0.3893    | 0.9871            | 0.6320                 | 0.6004         | 0.3893     | 124.6577 |
| 0.3299        | 0.7085 | 250  | 0.6765   | -7.7444  | -474.0688 | 0.3968          | 0.3968    | 0.9871            | 0.6320                 | 0.5958         | 0.3968     | 147.7626 |
| 0.294         | 0.8503 | 300  | 0.6728   | -8.8910  | -573.5075 | 0.3942          | 0.3931    | 0.9871            | 0.6320                 | 0.6102         | 0.3931     | 160.3578 |
| 0.2753        | 0.9920 | 350  | 0.6731   | -9.9981  | -593.1101 | 0.3965          | 0.3960    | 0.9871            | 0.6320                 | 0.5937         | 0.3960     | 171.5761 |
| 0.2316        | 1.1337 | 400  | 0.6718   | -9.6479  | -564.7661 | 0.3966          | 0.3956    | 0.9871            | 0.6320                 | 0.5875         | 0.3956     | 171.6054 |
| 0.2205        | 1.2754 | 450  | 0.6725   | -10.9673 | -599.2516 | 0.3962          | 0.3983    | 0.9871            | 0.6320                 | 0.5859         | 0.3983     | 182.4877 |
| 0.2058        | 1.4171 | 500  | 0.6741   | -9.6175  | -589.5045 | 0.4005          | 0.4029    | 0.9871            | 0.6320                 | 0.5797         | 0.4029     | 188.1013 |
| 0.2027        | 1.5588 | 550  | 0.6730   | -10.3937 | -622.4691 | 0.3995          | 0.4000    | 0.9871            | 0.6320                 | 0.5947         | 0.4000     | 185.8620 |
| 0.1897        | 1.7029 | 600  | 0.4028   | -755.1119| -11.5540  | 0.4023          | 0.6716    | 0.4023            | 0.5952                 | 0.9871         | 0.6320     | 201.2357 |
| 0.1797        | 1.8446 | 650  | 0.3997   | -673.7770| -10.8193  | 0.3992          | 0.6730    | 0.3992            | 0.5942                 | 0.9871         | 0.6320     | 188.3079 |
| 0.1689        | 1.9863 | 700  | 0.3985   | -653.8336| -11.0772  | 0.3970          | 0.6713    | 0.3970            | 0.5911                 | 0.9871         | 0.6320     | 182.3852 |
| 0.1492        | 2.1280 | 750  | 0.3959   | -624.3672| -11.4717  | 0.3956          | 0.6708    | 0.3956            | 0.6025                 | 0.9871         | 0.6320     | 182.7602 |
| 0.143         | 2.2697 | 800  | 0.3955   | -657.3067| -11.2559  | 0.3958          | 0.6701    | 0.3958            | 0.6009                 | 0.9871         | 0.6320     | 190.5371 |


### Framework versions

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