---
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-DPO-ES-TRY
  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/gcfd4lf7)
# qwen2.5-0.5b-expo-DPO-ES-TRY

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: 0.6811
- Logps: -89.5089
- Logits: -2.2697
- Objective: 0.6619
- Dpo Loss: 0.6619
- Regularize: 0.6619
- Ranking Simple: 0.5735
- Ranking Idealized: 0.6046
- Ranking Idealized Expo: 0.5280
- Dpo Wo Beta: -2.3796

## 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: 2
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 6
- gradient_accumulation_steps: 6
- total_train_batch_size: 72
- 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 | Dpo Loss | Dpo Wo Beta | Logits  | Logps     | Validation Loss | Objective | Ranking Idealized | Ranking Idealized Expo | Ranking Simple | Regularize |
|:-------------:|:------:|:----:|:--------:|:-----------:|:-------:|:---------:|:---------------:|:---------:|:-----------------:|:----------------------:|:--------------:|:----------:|
| 0.6857        | 0.0709 | 50   | 0.6927   | -1.2807     | -1.9606 | -88.9841  | 0.6914          | 0.6927    | 0.6046            | 0.5280                 | 0.5362         | 0.6927     |
| 0.6524        | 0.1417 | 100  | 0.7010   | -1.8911     | -2.0579 | -98.6358  | 0.6922          | 0.7010    | 0.6046            | 0.5280                 | 0.5269         | 0.7010     |
| 0.6123        | 0.2126 | 150  | 0.7015   | -2.1166     | -1.9033 | -102.8927 | 0.6967          | 0.7015    | 0.6046            | 0.5280                 | 0.5280         | 0.7015     |
| 0.5779        | 0.2834 | 200  | 0.6816   | -2.1417     | -2.0716 | -106.4944 | 0.6794          | 0.6816    | 0.6046            | 0.5280                 | 0.5507         | 0.6816     |
| 0.5709        | 0.3543 | 250  | 0.6817   | -2.2676     | -2.2470 | -87.7326  | 0.6883          | 0.6817    | 0.6046            | 0.5280                 | 0.5424         | 0.6817     |
| 0.5563        | 0.4251 | 300  | 0.6619   | -2.3796     | -2.2697 | -89.5089  | 0.6811          | 0.6619    | 0.6046            | 0.5280                 | 0.5735         | 0.6619     |
| 0.5321        | 0.4960 | 350  | 0.6773   | -2.6295     | -2.3683 | -99.0927  | 0.6926          | 0.6773    | 0.6046            | 0.5280                 | 0.5735         | 0.6773     |
| 0.4963        | 0.5668 | 400  | 0.6836   | -2.6913     | -2.2508 | -106.7073 | 0.6914          | 0.6836    | 0.6046            | 0.5280                 | 0.5673         | 0.6836     |
| 0.4745        | 0.6377 | 450  | 0.6938   | -105.8669   | -2.2347 | 0.6815    | 0.6815          | 0.6815    | 0.5631            | 0.6046                 | 0.5280         | -2.6738    |
| 0.4867        | 0.7085 | 500  | 0.7040   | -105.1848   | -2.2182 | 0.6995    | 0.6995          | 0.6995    | 0.5507            | 0.6046                 | 0.5280         | -2.7257    |
| 0.4582        | 0.7794 | 550  | 0.6995   | -102.6643   | -2.3855 | 0.7027    | 0.7027          | 0.7027    | 0.5683            | 0.6046                 | 0.5280         | -3.1023    |
| 0.4339        | 0.8503 | 600  | 0.6965   | -103.5456   | -2.4456 | 0.7050    | 0.7050          | 0.7050    | 0.5735            | 0.6046                 | 0.5280         | -3.2166    |


### Framework versions

- Transformers 4.42.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1