---
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-L2EXPO-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/72yqfbdr)
# qwen2.5-0.5b-expo-L2EXPO-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: 4.8991
- Logps: -80.1851
- Logits: -0.4846
- Objective: 4.9208
- Dpo Loss: 2.5732
- Regularize: 4.9208
- Ranking Simple: 0.5238
- Ranking Idealized: 0.5295
- Ranking Idealized Expo: 0.5212
- Wo Beta: 14.1271

## 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 |
|:-------------:|:------:|:----:|:---------------:|:--------:|:-------:|:---------:|:--------:|:----------:|:--------------:|:-----------------:|:----------------------:|:-------:|
| 0.6418        | 0.1417 | 50   | 0.7369          | -89.5788 | -1.4384 | 0.7343    | 0.7480   | 0.7343     | 0.5248         | 0.5295            | 0.5212                 | 16.0414 |
| 1.7208        | 0.2834 | 100  | 1.7082          | -87.8064 | -1.3168 | 1.6950    | 1.0867   | 1.6950     | 0.5228         | 0.5295            | 0.5212                 | 15.5148 |
| 2.841         | 0.4251 | 150  | 2.9302          | -83.1791 | -1.1086 | 2.8768    | 1.6352   | 2.8768     | 0.5300         | 0.5295            | 0.5212                 | 15.0680 |
| 3.5072        | 0.5668 | 200  | 4.2317          | -80.2960 | -0.8688 | 4.2210    | 2.3120   | 4.2210     | 0.5155         | 0.5295            | 0.5212                 | 14.5319 |
| 3.7707        | 0.7085 | 250  | 4.3648          | -80.5389 | -0.7639 | 4.3627    | 2.2988   | 4.3627     | 0.5212         | 0.5295            | 0.5212                 | 14.5663 |
| 3.5773        | 0.8503 | 300  | 4.3904          | -83.8565 | -0.5388 | 4.3972    | 2.2955   | 4.3972     | 0.5238         | 0.5295            | 0.5212                 | 14.3098 |
| 3.359         | 0.9920 | 350  | 4.6868          | -82.1212 | -0.5555 | 4.6293    | 2.4176   | 4.6293     | 0.5264         | 0.5295            | 0.5212                 | 14.3177 |
| 3.0892        | 1.1337 | 400  | 4.8991          | -80.1851 | -0.4846 | 4.9208    | 2.5732   | 4.9208     | 0.5238         | 0.5295            | 0.5212                 | 14.1271 |
| 3.001         | 1.2754 | 450  | 4.8651          | -82.0773 | -0.5097 | 4.8038    | 2.4966   | 4.8038     | 0.5233         | 0.5295            | 0.5212                 | 14.2309 |
| 2.8358        | 1.4171 | 500  | 4.8734          | -81.9592 | -0.4937 | 4.8544    | 2.5685   | 4.8544     | 0.5243         | 0.5295            | 0.5212                 | 14.2662 |
| 2.6622        | 1.5588 | 550  | 4.8760          | -81.5020 | -0.5513 | 4.9098    | 2.5441   | 4.9098     | 0.5243         | 0.5295            | 0.5212                 | 14.2522 |
| 2.5417        | 1.7005 | 600  | 5.0324          | -83.9181 | -0.5043 | 5.0251    | 2.5863   | 5.0251     | 0.5259         | 0.5295            | 0.5212                 | 14.2325 |
| 2.435         | 1.8422 | 650  | 5.0286          | -83.8820 | -0.4938 | 5.0013    | 2.6194   | 5.0013     | 0.5197         | 0.5295            | 0.5212                 | 14.2504 |


### Framework versions

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