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--- |
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license: apache-2.0 |
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base_model: hZzy/qwen2.5-0.5b-sft-news-IFT |
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tags: |
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- alignment-handbook |
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- ndcg |
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- trl |
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- expo |
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- generated_from_trainer |
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- trl |
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- expo |
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- generated_from_trainer |
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datasets: |
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- hZzy/train_pairwise_weighted |
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model-index: |
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- name: qwen2.5-0.5b-expo-L2EXPO-W0-noES4-0.1 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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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/n7w9uz5i) |
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# qwen2.5-0.5b-expo-L2EXPO-W0-noES4-0.1 |
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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_weighted dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 179.2621 |
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- Logps: -92.2613 |
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- Logits: -1.4975 |
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- Objective: 175.9752 |
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- Dpo Loss: 0.6785 |
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- Regularize: 0.3992 |
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- Ranking Simple: 0.5280 |
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- Ranking Idealized: 0.6025 |
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- Ranking Idealized Expo: 0.5233 |
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- Wo Beta: 16.5856 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-07 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 3 |
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- gradient_accumulation_steps: 12 |
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- total_train_batch_size: 144 |
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- total_eval_batch_size: 12 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Logps | Logits | Objective | Dpo Loss | Regularize | Ranking Simple | Ranking Idealized | Ranking Idealized Expo | Wo Beta | |
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|:-------------:|:------:|:----:|:---------------:|:--------:|:-------:|:---------:|:--------:|:----------:|:--------------:|:-----------------:|:----------------------:|:-------:| |
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| 182.5182 | 0.1417 | 50 | 182.5003 | -90.8517 | -1.4200 | 180.4893 | 0.6895 | 0.4093 | 0.5248 | 0.6025 | 0.5233 | 16.3100 | |
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| 159.305 | 0.2834 | 100 | 182.1522 | -91.3531 | -1.4622 | 180.5219 | 0.6860 | 0.4103 | 0.5311 | 0.6025 | 0.5233 | 16.3819 | |
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| 150.2379 | 0.4251 | 150 | 180.0575 | -90.2469 | -1.4576 | 177.1578 | 0.6806 | 0.4010 | 0.5331 | 0.6025 | 0.5233 | 16.6107 | |
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| 135.925 | 0.5668 | 200 | 179.9740 | -91.1249 | -1.4453 | 177.0413 | 0.6795 | 0.4006 | 0.5305 | 0.6025 | 0.5233 | 16.2687 | |
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| 130.7065 | 0.7085 | 250 | 181.5092 | -91.6178 | -1.5061 | 178.2784 | 0.6800 | 0.4049 | 0.5305 | 0.6025 | 0.5233 | 16.6407 | |
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| 109.74 | 0.8503 | 300 | 180.4924 | -92.4236 | -1.4760 | 178.1365 | 0.6815 | 0.4047 | 0.5305 | 0.6025 | 0.5233 | 16.4981 | |
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| 104.2663 | 0.9920 | 350 | 182.2591 | -92.8005 | -1.5066 | 178.8644 | 0.6808 | 0.4058 | 0.5290 | 0.6025 | 0.5233 | 16.5694 | |
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| 91.3585 | 1.1337 | 400 | 180.0295 | -92.3854 | -1.4789 | 177.7148 | 0.6800 | 0.4024 | 0.5280 | 0.6025 | 0.5233 | 16.5852 | |
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| 77.8925 | 1.2754 | 450 | 179.2441 | -92.7062 | -1.4746 | 175.8475 | 0.6792 | 0.3989 | 0.5274 | 0.6025 | 0.5233 | 16.5269 | |
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| 73.5844 | 1.4171 | 500 | 180.3643 | -93.2695 | -1.4849 | 176.2332 | 0.6786 | 0.3994 | 0.5305 | 0.6025 | 0.5233 | 16.5003 | |
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| 74.752 | 1.5588 | 550 | 181.3646 | -92.8892 | -1.4832 | 177.2267 | 0.6795 | 0.4020 | 0.5274 | 0.6025 | 0.5233 | 16.5546 | |
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| 66.606 | 1.7005 | 600 | 179.4953 | -91.6158 | -1.4675 | 176.2793 | 0.6789 | 0.3999 | 0.5311 | 0.6025 | 0.5233 | 16.6183 | |
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| 65.4503 | 1.8422 | 650 | 180.1248 | -91.8974 | -1.5046 | 176.5553 | 0.6790 | 0.4003 | 0.5285 | 0.6025 | 0.5233 | 16.5373 | |
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| 62.3615 | 1.9839 | 700 | 179.3857 | -91.5875 | -1.4984 | 176.0021 | 0.6784 | 0.3992 | 0.5300 | 0.6025 | 0.5233 | 16.5863 | |
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| 48.9708 | 2.1256 | 750 | 179.8103 | -92.1933 | -1.4919 | 176.7028 | 0.6794 | 0.4011 | 0.5274 | 0.6025 | 0.5233 | 16.5884 | |
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| 51.9463 | 2.2674 | 800 | 179.2178 | -92.0065 | -1.4993 | 175.7036 | 0.6782 | 0.3986 | 0.5290 | 0.6025 | 0.5233 | 16.5689 | |
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| 44.3463 | 2.4091 | 850 | 179.1735 | -92.2372 | -1.4918 | 175.7777 | 0.6783 | 0.3988 | 0.5285 | 0.6025 | 0.5233 | 16.5682 | |
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| 44.3015 | 2.5508 | 900 | 179.1590 | -92.1898 | -1.4983 | 175.8240 | 0.6784 | 0.3990 | 0.5280 | 0.6025 | 0.5233 | 16.5905 | |
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| 43.4164 | 2.6925 | 950 | 179.2801 | -92.2046 | -1.4967 | 176.0408 | 0.6785 | 0.3993 | 0.5274 | 0.6025 | 0.5233 | 16.5891 | |
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| 43.6009 | 2.8342 | 1000 | 179.2791 | -92.2705 | -1.4978 | 175.9963 | 0.6785 | 0.3992 | 0.5280 | 0.6025 | 0.5233 | 16.5880 | |
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| 47.7054 | 2.9759 | 1050 | 179.2622 | -92.2613 | -1.4975 | 175.9752 | 0.6785 | 0.3992 | 0.5280 | 0.6025 | 0.5233 | 16.5856 | |
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### Framework versions |
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- Transformers 4.42.0 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 3.2.0 |
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- Tokenizers 0.19.1 |
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