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---
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-EXPERIMENT-1K-5e6
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
[<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/lxeilq1n)
# qwen2.5-0.5b-expo-DPO-EXPERIMENT-1K-5e6
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: 1521.1873
- Logps: -79.1168
- Logits: -1.0707
- Objective: 1520.4889
- Dpo Loss: 1520.4889
- Regularize: 1520.4889
- Ranking Simple: 0.5258
- Ranking Idealized: 0.5093
- Ranking Idealized Expo: 0.5093
## 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: 6
- gradient_accumulation_steps: 12
- total_train_batch_size: 288
- total_eval_batch_size: 24
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 2
### Training results
| Training Loss | Epoch | Step | Validation Loss | Logps | Logits | Objective | Dpo Loss | Regularize | Ranking Simple | Ranking Idealized | Ranking Idealized Expo |
|:-------------:|:------:|:----:|:---------------:|:--------:|:-------:|:---------:|:---------:|:----------:|:--------------:|:-----------------:|:----------------------:|
| 932.0532 | 0.2834 | 50 | 928.5909 | -90.5890 | -1.5321 | 972.7211 | 972.7211 | 972.7211 | 0.5103 | 0.5093 | 0.5093 |
| 1035.9887 | 0.5668 | 100 | 1589.5358 | -80.1508 | -1.3577 | 1629.7952 | 1629.7952 | 1629.7952 | 0.5145 | 0.5093 | 0.5093 |
| 835.8459 | 0.8503 | 150 | 1554.2150 | -79.1304 | -1.1902 | 1554.7245 | 1554.7245 | 1554.7245 | 0.5238 | 0.5093 | 0.5093 |
| 353.4232 | 1.1337 | 200 | 1601.4404 | -77.8605 | -1.1493 | 1618.9882 | 1618.9882 | 1618.9882 | 0.5279 | 0.5093 | 0.5093 |
| 363.333 | 1.4171 | 250 | 1571.6953 | -78.8053 | -1.0661 | 1577.6245 | 1577.6245 | 1577.6245 | 0.5227 | 0.5093 | 0.5093 |
| 267.0769 | 1.7005 | 300 | 1533.1350 | -79.3922 | -1.0587 | 1538.6410 | 1538.6410 | 1538.6410 | 0.5227 | 0.5093 | 0.5093 |
| 287.4463 | 1.9839 | 350 | 1521.1865 | -79.1168 | -1.0707 | 1520.4884 | 1520.4884 | 1520.4884 | 0.5258 | 0.5093 | 0.5093 |
### Framework versions
- Transformers 4.42.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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