---
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
model-index:
- name: qwen2.5-0.5b-expo-L1EXPO-ES-1
  results: []
---

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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/3epxudpc)
# qwen2.5-0.5b-expo-L1EXPO-ES-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 dataset.
It achieves the following results on the evaluation set:
- Loss: 4.8354
- Logps: -80.1753
- Logits: -0.6936
- Objective: 4.8114
- Dpo Loss: 2.5735
- Regularize: 4.8114
- Ranking Simple: 0.5248
- Ranking Idealized: 0.5295
- Ranking Idealized Expo: 0.5212
- Wo Beta: 13.9356

## 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 | Validation Loss | Logps    | Logits  | Objective | Dpo Loss | Regularize | Ranking Simple | Ranking Idealized | Ranking Idealized Expo | Wo Beta |
|:-------------:|:------:|:----:|:---------------:|:--------:|:-------:|:---------:|:--------:|:----------:|:--------------:|:-----------------:|:----------------------:|:-------:|
| 0.4306        | 0.1417 | 50   | 0.5493          | -90.4264 | -1.4289 | 0.5433    | 0.7632   | 0.5433     | 0.5212         | 0.5295            | 0.5212                 | 16.2237 |
| 1.748         | 0.2834 | 100  | 1.6975          | -88.0491 | -1.2535 | 1.6864    | 1.1354   | 1.6864     | 0.5228         | 0.5295            | 0.5212                 | 15.6834 |
| 2.8697        | 0.4251 | 150  | 2.9624          | -82.4967 | -1.2524 | 2.8923    | 1.6846   | 2.8923     | 0.5243         | 0.5295            | 0.5212                 | 15.1970 |
| 3.5268        | 0.5668 | 200  | 4.0302          | -75.9716 | -0.9581 | 3.9597    | 2.1590   | 3.9597     | 0.5238         | 0.5295            | 0.5212                 | 14.5792 |
| 3.7241        | 0.7085 | 250  | 4.2694          | -81.3047 | -0.7680 | 4.2728    | 2.3310   | 4.2728     | 0.5259         | 0.5295            | 0.5212                 | 14.5615 |
| 3.6109        | 0.8503 | 300  | 4.4908          | -83.9815 | -0.6388 | 4.4573    | 2.4072   | 4.4573     | 0.5264         | 0.5295            | 0.5212                 | 14.3464 |
| 3.36          | 0.9920 | 350  | 4.6586          | -80.7491 | -0.5030 | 4.6212    | 2.4991   | 4.6212     | 0.5212         | 0.5295            | 0.5212                 | 14.3467 |
| 3.112         | 1.1337 | 400  | 4.7244          | -82.4974 | -0.5664 | 4.7293    | 2.5403   | 4.7293     | 0.5186         | 0.5295            | 0.5212                 | 14.4038 |
| 2.9448        | 1.2754 | 450  | 4.8354          | -80.1753 | -0.6936 | 4.8114    | 2.5735   | 4.8114     | 0.5248         | 0.5295            | 0.5212                 | 13.9356 |
| 2.8517        | 1.4171 | 500  | 5.0044          | -80.7676 | -0.5973 | 5.0058    | 2.6782   | 5.0058     | 0.5269         | 0.5295            | 0.5212                 | 14.2626 |
| 2.632         | 1.5588 | 550  | 4.8777          | -80.5219 | -0.6149 | 4.8844    | 2.5752   | 4.8844     | 0.5223         | 0.5295            | 0.5212                 | 14.1469 |
| 2.5208        | 1.7005 | 600  | 4.9258          | -80.1775 | -0.5875 | 4.9621    | 2.5974   | 4.9621     | 0.5243         | 0.5295            | 0.5212                 | 14.2669 |
| 2.4198        | 1.8422 | 650  | 5.0327          | -81.0550 | -0.5441 | 5.0454    | 2.6345   | 5.0454     | 0.5269         | 0.5295            | 0.5212                 | 14.2479 |
| 2.2699        | 1.9839 | 700  | 4.9659          | -79.7376 | -0.5594 | 4.9951    | 2.6292   | 4.9951     | 0.5212         | 0.5295            | 0.5212                 | 14.1755 |


### Framework versions

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