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--- |
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library_name: peft |
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tags: |
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- alignment-handbook |
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- trl |
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- dpo |
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- generated_from_trainer |
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base_model: data/zephyr-7b-sft-qlora-merged |
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datasets: |
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- HuggingFaceH4/ultrafeedback_binarized |
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model-index: |
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- name: zephyr-7b-dpo-qlora |
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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/statking/huggingface/runs/qxp2vmm7) |
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# zephyr-7b-dpo-qlora |
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This model is a fine-tuned version of [data/zephyr-7b-sft-qlora-merged](https://huggingface.co/data/zephyr-7b-sft-qlora-merged) on the HuggingFaceH4/ultrafeedback_binarized dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4935 |
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- Rewards/chosen: -2.1676 |
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- Rewards/rejected: -3.1735 |
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- Rewards/accuracies: 0.7698 |
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- Rewards/margins: 1.0059 |
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- Logps/rejected: -564.1859 |
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- Logps/chosen: -483.0326 |
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- Logits/rejected: -1.4139 |
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- Logits/chosen: -1.4811 |
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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-06 |
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- train_batch_size: 4 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 4 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 64 |
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- total_eval_batch_size: 32 |
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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: 1 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen | |
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|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:| |
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| 0.6185 | 0.1047 | 100 | 0.6240 | -0.3010 | -0.5396 | 0.6964 | 0.2387 | -300.7997 | -296.3736 | -2.2954 | -2.3537 | |
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| 0.5724 | 0.2094 | 200 | 0.5692 | -0.8434 | -1.3284 | 0.7302 | 0.4850 | -379.6750 | -350.6113 | -2.2448 | -2.2930 | |
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| 0.5366 | 0.3141 | 300 | 0.5249 | -1.6887 | -2.4863 | 0.7639 | 0.7976 | -495.4648 | -435.1429 | -1.6220 | -1.6850 | |
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| 0.5397 | 0.4187 | 400 | 0.5253 | -1.2998 | -1.9923 | 0.7698 | 0.6925 | -446.0619 | -396.2537 | -1.7586 | -1.8144 | |
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| 0.5003 | 0.5234 | 500 | 0.5013 | -1.9982 | -2.9207 | 0.7659 | 0.9226 | -538.9065 | -466.0909 | -1.6049 | -1.6682 | |
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| 0.4835 | 0.6281 | 600 | 0.5027 | -2.5699 | -3.5168 | 0.7560 | 0.9470 | -598.5182 | -523.2593 | -1.3417 | -1.4125 | |
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| 0.4715 | 0.7328 | 700 | 0.4956 | -2.1902 | -3.1936 | 0.7679 | 1.0035 | -566.1955 | -485.2894 | -1.3782 | -1.4480 | |
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| 0.4898 | 0.8375 | 800 | 0.4948 | -2.0401 | -3.0116 | 0.7698 | 0.9715 | -547.9974 | -470.2821 | -1.4275 | -1.4946 | |
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| 0.4785 | 0.9422 | 900 | 0.4933 | -2.1713 | -3.1801 | 0.7738 | 1.0088 | -564.8470 | -483.4024 | -1.4105 | -1.4778 | |
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### Framework versions |
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- PEFT 0.10.0 |
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- Transformers 4.41.0.dev0 |
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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 |
