File size: 5,201 Bytes
d2e1e35 403dfc0 d2e1e35 403dfc0 d2e1e35 403dfc0 d2e1e35 403dfc0 d2e1e35 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 |
---
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-EXPERIMENT-0.005-5e6
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/3gvck2ki)
# qwen2.5-0.5b-expo-L2EXPO-EXPERIMENT-0.005-5e6
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: 0.3951
- Logps: -195.4572
- Logits: -3.2699
- Objective: 0.3956
- Dpo Loss: 0.6771
- Regularize: 0.3956
- Ranking Simple: 0.5661
- Ranking Idealized: 0.9194
- Ranking Idealized Expo: 0.5310
## 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: 5
### Training results
| Training Loss | Epoch | Step | Validation Loss | Logps | Logits | Objective | Dpo Loss | Regularize | Ranking Simple | Ranking Idealized | Ranking Idealized Expo |
|:-------------:|:------:|:----:|:---------------:|:---------:|:-------:|:---------:|:--------:|:----------:|:--------------:|:-----------------:|:----------------------:|
| 0.4052 | 0.2834 | 50 | 0.4107 | -129.0883 | -1.8292 | 0.4120 | 0.6914 | 0.4120 | 0.5372 | 0.9194 | 0.5310 |
| 0.3407 | 0.5668 | 100 | 0.4017 | -173.3319 | -2.5066 | 0.4063 | 0.6839 | 0.4063 | 0.5548 | 0.9194 | 0.5310 |
| 0.2596 | 0.8503 | 150 | 0.4017 | -188.6395 | -2.4464 | 0.4052 | 0.6806 | 0.4052 | 0.5424 | 0.9194 | 0.5310 |
| 0.1965 | 1.1337 | 200 | 0.4002 | -193.1247 | -2.5977 | 0.4041 | 0.6801 | 0.4041 | 0.5589 | 0.9194 | 0.5310 |
| 0.1784 | 1.4171 | 250 | 0.3990 | -189.4701 | -2.7528 | 0.4023 | 0.6802 | 0.4023 | 0.5620 | 0.9194 | 0.5310 |
| 0.1717 | 1.7005 | 300 | 0.4021 | -195.7304 | -2.8777 | 0.4042 | 0.6799 | 0.4042 | 0.5455 | 0.9194 | 0.5310 |
| 0.1527 | 1.9839 | 350 | 0.3960 | -211.6068 | -3.1101 | 0.3970 | 0.6760 | 0.3970 | 0.5558 | 0.9194 | 0.5310 |
| 0.1267 | 2.2674 | 400 | 0.3981 | -201.0368 | -3.2515 | 0.3998 | 0.6776 | 0.3998 | 0.5620 | 0.9194 | 0.5310 |
| 0.1121 | 2.5508 | 450 | 0.3957 | -192.7809 | -2.9523 | 0.3976 | 0.6782 | 0.3976 | 0.5620 | 0.9194 | 0.5310 |
| 0.1063 | 2.8342 | 500 | 0.3941 | -195.7920 | -3.2835 | 0.3949 | 0.6760 | 0.3949 | 0.5671 | 0.9194 | 0.5310 |
| 0.0891 | 3.1176 | 550 | 0.3956 | -196.1659 | -3.1953 | 0.3960 | 0.6777 | 0.3960 | 0.5610 | 0.9194 | 0.5310 |
| 0.0749 | 3.4010 | 600 | 0.3962 | -194.1237 | -3.1966 | 0.3973 | 0.6781 | 0.3973 | 0.5744 | 0.9194 | 0.5310 |
| 0.062 | 3.6845 | 650 | 0.3956 | -195.3244 | -3.2412 | 0.3967 | 0.6778 | 0.3967 | 0.5702 | 0.9194 | 0.5310 |
| 0.0583 | 3.9679 | 700 | 0.3956 | -196.4469 | -3.2432 | 0.3961 | 0.6772 | 0.3961 | 0.5640 | 0.9194 | 0.5310 |
| 0.0451 | 4.2513 | 750 | 0.3952 | -195.4398 | -3.2666 | 0.3955 | 0.6771 | 0.3955 | 0.5671 | 0.9194 | 0.5310 |
| 0.0438 | 4.5347 | 800 | 0.3952 | -195.2319 | -3.2693 | 0.3956 | 0.6771 | 0.3956 | 0.5661 | 0.9194 | 0.5310 |
| 0.0408 | 4.8181 | 850 | 0.3951 | -195.5095 | -3.2704 | 0.3956 | 0.6771 | 0.3956 | 0.5661 | 0.9194 | 0.5310 |
### Framework versions
- Transformers 4.42.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
|