---
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-ES-0.1
  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/hy7b2tcq)
# qwen2.5-0.5b-expo-DPO-ES-0.1

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: 0.6921
- Logps: -91.0309
- Logits: -2.1203
- Objective: 0.6893
- Dpo Loss: 0.6893
- Regularize: 0.6893
- Ranking Simple: 0.5559
- Ranking Idealized: 0.6030
- Ranking Idealized Expo: 0.5223
- Wo Beta: 7.4262

## 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 |
|:-------------:|:------:|:----:|:---------------:|:---------:|:-------:|:---------:|:--------:|:----------:|:--------------:|:-----------------:|:----------------------:|:-------:|
| 0.6785        | 0.1417 | 50   | 0.6813          | -90.8716  | -1.6022 | 0.6843    | 0.6843   | 0.6843     | 0.5259         | 0.6030            | 0.5223                 | 7.8749  |
| 0.618         | 0.2834 | 100  | 0.6733          | -98.8899  | -1.7799 | 0.6766    | 0.6766   | 0.6766     | 0.5399         | 0.6030            | 0.5223                 | 7.7840  |
| 0.5667        | 0.4251 | 150  | 0.6866          | -99.1230  | -1.8072 | 0.6829    | 0.6829   | 0.6829     | 0.5409         | 0.6030            | 0.5223                 | 7.8533  |
| 0.5214        | 0.5668 | 200  | 0.6901          | -99.5388  | -1.8894 | 0.6904    | 0.6904   | 0.6904     | 0.5445         | 0.6030            | 0.5223                 | 7.6995  |
| 0.4922        | 0.7085 | 250  | 0.6976          | -82.7973  | -1.9880 | 0.6916    | 0.6916   | 0.6916     | 0.5476         | 0.6030            | 0.5223                 | 7.8790  |
| 0.4535        | 0.8503 | 300  | 0.6921          | -91.0309  | -2.1203 | 0.6893    | 0.6893   | 0.6893     | 0.5559         | 0.6030            | 0.5223                 | 7.4262  |
| 0.423         | 0.9920 | 350  | 0.7057          | -88.1615  | -1.9880 | 0.6959    | 0.6959   | 0.6959     | 0.5549         | 0.6030            | 0.5223                 | 7.9979  |
| 0.2847        | 1.1337 | 400  | 0.7315          | -101.6926 | -2.0862 | 0.7281    | 0.7281   | 0.7281     | 0.5424         | 0.6030            | 0.5223                 | 8.6326  |
| 0.2991        | 1.2754 | 450  | 0.7008          | -92.7942  | -1.8470 | 0.6980    | 0.6980   | 0.6980     | 0.5621         | 0.6030            | 0.5223                 | 8.2584  |
| 0.3065        | 1.4171 | 500  | 0.7180          | -96.6747  | -2.0065 | 0.7147    | 0.7147   | 0.7147     | 0.5554         | 0.6030            | 0.5223                 | 8.2522  |
| 0.2895        | 1.5588 | 550  | 0.7044          | -104.2469 | -1.8870 | 0.7077    | 0.7077   | 0.7077     | 0.5652         | 0.6030            | 0.5223                 | 8.1947  |


### Framework versions

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