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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 |
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model-index: |
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- name: qwen2.5-0.5b-expo-L2EXPO-ES-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/z6ixm6bo) |
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# qwen2.5-0.5b-expo-L2EXPO-ES-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 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4217 |
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- Logps: -89.1060 |
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- Logits: -1.3837 |
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- Objective: 0.4142 |
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- Dpo Loss: 0.6791 |
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- Regularize: 0.4142 |
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- Ranking Simple: 0.5347 |
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- Ranking Idealized: 0.6030 |
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- Ranking Idealized Expo: 0.5223 |
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- Wo Beta: 15.9847 |
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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: 1e-06 |
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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: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Dpo Loss | Logits | Logps | Validation Loss | Objective | Ranking Idealized | Ranking Idealized Expo | Ranking Simple | Regularize | Wo Beta | |
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|:-------------:|:------:|:----:|:--------:|:-------:|:--------:|:---------------:|:---------:|:-----------------:|:----------------------:|:--------------:|:----------:|:-------:| |
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| 0.4117 | 0.1417 | 50 | 0.6893 | -1.4691 | -90.8535 | 0.4102 | 0.4090 | 0.6030 | 0.5223 | 0.5248 | 0.4090 | 16.3208 | |
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| 0.3871 | 0.2834 | 100 | 0.6833 | -1.5346 | -91.2757 | 0.4049 | 0.4029 | 0.6030 | 0.5223 | 0.5316 | 0.4029 | 16.2699 | |
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| 0.3451 | 0.4251 | 150 | 0.6789 | -1.4902 | -91.1637 | 0.4013 | 0.3996 | 0.6030 | 0.5223 | 0.5347 | 0.3996 | 16.5907 | |
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| 0.3166 | 0.5668 | 200 | 0.6811 | -1.4523 | -93.2695 | 0.4148 | 0.4132 | 0.6030 | 0.5223 | 0.5316 | 0.4132 | 16.3512 | |
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| 0.2939 | 0.7085 | 250 | 0.6790 | -1.5465 | -90.5537 | 0.4131 | 0.4077 | 0.6030 | 0.5223 | 0.5342 | 0.4077 | 16.4807 | |
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| 0.2655 | 0.8503 | 300 | 0.6806 | -1.4553 | -91.3521 | 0.4126 | 0.4082 | 0.6030 | 0.5223 | 0.5311 | 0.4082 | 16.4429 | |
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| 0.2513 | 0.9920 | 350 | 0.6782 | -1.4532 | -91.2408 | 0.4110 | 0.4044 | 0.6030 | 0.5223 | 0.5352 | 0.4044 | 16.3768 | |
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| 0.2206 | 1.1337 | 400 | 0.4128 | -87.3470| -1.4764 | 0.4049 | 0.6769 | 0.4049 | 0.5336 | 0.6030 | 0.5223 | 16.2024 | |
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| 0.2077 | 1.2754 | 450 | 0.4144 | -89.8793| -1.4177 | 0.4106 | 0.6788 | 0.4106 | 0.5331 | 0.6030 | 0.5223 | 16.1977 | |
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| 0.1943 | 1.4171 | 500 | 0.4169 | -87.6699| -1.4544 | 0.4092 | 0.6782 | 0.4092 | 0.5352 | 0.6030 | 0.5223 | 16.0510 | |
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| 0.1879 | 1.5588 | 550 | 0.4173 | -89.0111| -1.4268 | 0.4102 | 0.6787 | 0.4102 | 0.5347 | 0.6030 | 0.5223 | 16.0707 | |
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| 0.1768 | 1.7005 | 600 | 0.4190 | -87.0605| -1.4411 | 0.4116 | 0.6796 | 0.4116 | 0.5352 | 0.6030 | 0.5223 | 16.0697 | |
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| 0.1736 | 1.8422 | 650 | 0.4219 | -90.0508| -1.4601 | 0.4144 | 0.6802 | 0.4144 | 0.5347 | 0.6030 | 0.5223 | 16.1057 | |
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| 0.1598 | 1.9839 | 700 | 0.4217 | -90.5630| -1.4110 | 0.4148 | 0.6799 | 0.4148 | 0.5362 | 0.6030 | 0.5223 | 16.0493 | |
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| 0.1454 | 2.1256 | 750 | 0.4215 | -89.5433| -1.3859 | 0.4151 | 0.6797 | 0.4151 | 0.5316 | 0.6030 | 0.5223 | 16.0459 | |
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| 0.1333 | 2.2674 | 800 | 0.4217 | -89.1060| -1.3837 | 0.4142 | 0.6791 | 0.4142 | 0.5347 | 0.6030 | 0.5223 | 15.9847 | |
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| 0.1287 | 2.4091 | 850 | 0.4241 | -88.6145| -1.3856 | 0.4153 | 0.6795 | 0.4153 | 0.5357 | 0.6030 | 0.5223 | 15.9979 | |
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| 0.12 | 2.5508 | 900 | 0.4207 | -88.6663| -1.3921 | 0.4129 | 0.6795 | 0.4129 | 0.5331 | 0.6030 | 0.5223 | 16.0698 | |
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| 0.1148 | 2.6925 | 950 | 0.4215 | -88.2854| -1.3690 | 0.4149 | 0.6792 | 0.4149 | 0.5336 | 0.6030 | 0.5223 | 16.0513 | |
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| 0.1068 | 2.8342 | 1000 | 0.4229 | -89.1782| -1.3724 | 0.4168 | 0.6809 | 0.4168 | 0.5321 | 0.6030 | 0.5223 | 16.0722 | |
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| 0.0991 | 2.9759 | 1050 | 0.4210 | -88.9607| -1.3982 | 0.4141 | 0.6792 | 0.4141 | 0.5336 | 0.6030 | 0.5223 | 16.0444 | |
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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 2.19.1 |
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- Tokenizers 0.19.1 |
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