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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-ES-1000
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/eygej0eq)
# qwen2.5-0.5b-expo-DPO-ES-1000
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: 4901.4473
- Logps: -79.4462
- Logits: -0.5595
- Objective: 4906.0884
- Dpo Loss: 2071.1946
- Regularize: 4906.0884
- Ranking Simple: 0.5362
- Ranking Idealized: 0.5212
- Ranking Idealized Expo: 0.5212
- Wo Beta: 14.7030
## 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 | Dpo Loss | Logits | Logps | Validation Loss | Objective | Ranking Idealized | Ranking Idealized Expo | Ranking Simple | Regularize | Wo Beta |
|:-------------:|:------:|:----:|:---------:|:-------:|:--------:|:---------------:|:---------:|:-----------------:|:----------------------:|:--------------:|:----------:|:-------:|
| 171.6127 | 0.1417 | 50 | 308.1877 | -1.4575 | -90.7970 | 309.7356 | 308.1877 | 0.5212 | 0.5212 | 0.5254 | 308.1877 | 7.7047 |
| 582.3149 | 0.2834 | 100 | 708.8133 | -1.3877 | -88.8040 | 733.8202 | 708.8133 | 0.5212 | 0.5212 | 0.5285 | 708.8133 | 7.4775 |
| 1002.3808 | 0.4251 | 150 | 1245.7263 | -1.3138 | -83.6606 | 1283.0697 | 1245.7263 | 0.5212 | 0.5212 | 0.5311 | 1245.7263 | 7.3632 |
| 1199.7266 | 0.5668 | 200 | 1471.0287 | -1.2584 | -79.8249 | 1530.3123 | 1471.0287 | 0.5212 | 0.5212 | 0.5347 | 1471.0287 | 7.2330 |
| 1311.3106 | 0.7085 | 250 | 1842.3601 | -1.1799 | -78.5750 | 1873.1123 | 1842.3601 | 0.5212 | 0.5212 | 0.5347 | 1842.3601 | 7.2046 |
| 1216.5524 | 0.8503 | 300 | 1949.1084 | -1.0463 | -80.6875 | 2001.6104 | 1949.1084 | 0.5212 | 0.5212 | 0.5326 | 1949.1084 | 6.9438 |
| 1157.2415 | 0.9920 | 350 | 1956.4012 | -0.8782 | -79.7493 | 2064.3220 | 1956.4012 | 0.5212 | 0.5212 | 0.5440 | 1956.4012 | 7.0169 |
| 721.9005 | 1.1337 | 400 | 2228.8811 | -0.5703 | -80.2022 | 2276.4189 | 2228.8811 | 0.5212 | 0.5212 | 0.5404 | 2228.8811 | 7.2480 |
| 779.6797 | 1.2754 | 450 | 2016.3281 | -0.7091 | -78.4054 | 2069.4939 | 2016.3281 | 0.5212 | 0.5212 | 0.5367 | 2016.3281 | 6.8242 |
| 788.48 | 1.4171 | 500 | 2044.0745 | -0.6659 | -81.9827 | 2120.1182 | 2044.0745 | 0.5212 | 0.5212 | 0.5342 | 2044.0745 | 6.8667 |
| 684.4246 | 1.5588 | 550 | 2053.8372 | -0.6751 | -81.6376 | 2148.1580 | 2053.8372 | 0.5212 | 0.5212 | 0.5342 | 2053.8372 | 6.7901 |
| 708.5259 | 1.7005 | 600 | 2071.1946 | -0.5595 | -79.4462 | 2179.6001 | 2071.1946 | 0.5212 | 0.5212 | 0.5362 | 2071.1946 | 6.6511 |
| 690.9902 | 1.8422 | 650 | 2158.4885 | -0.5552 | -80.5108 | 2241.3740 | 2158.4885 | 0.5212 | 0.5212 | 0.5414 | 2158.4885 | 6.7740 |
| 617.6108 | 1.9839 | 700 | 2132.2517 | -0.5079 | -80.3825 | 2230.5115 | 2132.2517 | 0.5212 | 0.5212 | 0.5404 | 2132.2517 | 6.7954 |
| 343.0455 | 2.1256 | 750 | 2123.3604 | -0.5398 | -81.3539 | 2199.7175 | 2123.3604 | 0.5212 | 0.5212 | 0.5430 | 2123.3604 | 6.7578 |
| 311.7518 | 2.2674 | 800 | 2038.6656 | -0.5497 | -80.2739 | 2139.7871 | 2038.6656 | 0.5212 | 0.5212 | 0.5378 | 2038.6656 | 6.6768 |
| 315.5968 | 2.4091 | 850 | 2184.7112 | -0.5282 | -83.3843 | 2249.3201 | 2184.7112 | 0.5212 | 0.5212 | 0.5404 | 2184.7112 | 6.8072 |
| 6263.3387 | 2.5555 | 900 | 6365.9199 | -90.6956| -0.1035 | 6410.7383 | 3261.5381 | 6410.7383 | 0.5248 | 0.5212 | 0.5212 | 14.3919 |
| 4964.9731 | 2.6972 | 950 | 6126.6899 | -88.8726| -0.1541 | 6172.9790 | 3203.6243 | 6172.9790 | 0.5259 | 0.5212 | 0.5212 | 14.2868 |
| 4278.7487 | 2.8389 | 1000 | 6092.5342 | -87.8890| -0.0946 | 6127.7734 | 3153.0500 | 6127.7734 | 0.5243 | 0.5212 | 0.5212 | 14.2488 |
| 3830.4475 | 2.9806 | 1050 | 6040.4917 | -86.9566| -0.1365 | 6063.3457 | 3127.4956 | 6063.3457 | 0.5233 | 0.5212 | 0.5212 | 14.0310 |
| 3079.7456 | 3.1223 | 1100 | 6014.5977 | -88.1664| -0.1249 | 6010.9189 | 3144.7844 | 6010.9189 | 0.5217 | 0.5212 | 0.5212 | 14.2338 |
### Framework versions
- Transformers 4.42.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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