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--- |
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library_name: peft |
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tags: |
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- trl |
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- dpo |
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- generated_from_trainer |
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base_model: data/Meta-Llama-3-8B-Instruct-Merged |
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model-index: |
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- name: Meta-Llama-3-8B-Instruct-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/ficbttt2) |
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# Meta-Llama-3-8B-Instruct-DPO-QLoRA |
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This model was trained from scratch on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4785 |
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- Rewards/chosen: -2.3086 |
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- Rewards/rejected: -3.5093 |
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- Rewards/accuracies: 0.7740 |
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- Rewards/margins: 1.2007 |
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- Logps/rejected: -604.1885 |
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- Logps/chosen: -507.2548 |
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- Logits/rejected: -0.8544 |
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- Logits/chosen: -0.8360 |
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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: 2 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 32 |
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- total_eval_batch_size: 16 |
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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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| 0.6865 | 0.0523 | 100 | 0.6857 | 0.0202 | 0.0036 | 0.6810 | 0.0166 | -252.9014 | -274.3707 | -0.6048 | -0.5953 | |
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| 0.5773 | 0.1047 | 200 | 0.5802 | -0.5398 | -0.9390 | 0.7080 | 0.3992 | -347.1614 | -330.3779 | -0.9408 | -0.9089 | |
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| 0.546 | 0.1570 | 300 | 0.5337 | -0.9951 | -1.7352 | 0.7370 | 0.7401 | -426.7812 | -375.9071 | -1.0937 | -1.0510 | |
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| 0.501 | 0.2094 | 400 | 0.5120 | -1.8215 | -2.7617 | 0.7530 | 0.9401 | -529.4277 | -458.5479 | -1.1011 | -1.0595 | |
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| 0.4525 | 0.2617 | 500 | 0.5090 | -1.9857 | -3.0848 | 0.7510 | 1.0991 | -561.7446 | -474.9624 | -0.9430 | -0.9134 | |
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| 0.508 | 0.3141 | 600 | 0.5005 | -2.2106 | -3.1511 | 0.7600 | 0.9405 | -568.3763 | -497.4550 | -0.9955 | -0.9626 | |
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| 0.4852 | 0.3664 | 700 | 0.5028 | -1.3971 | -2.4127 | 0.7770 | 1.0156 | -494.5317 | -416.1026 | -0.9794 | -0.9476 | |
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| 0.5474 | 0.4187 | 800 | 0.4966 | -1.7948 | -2.7637 | 0.7670 | 0.9689 | -529.6284 | -455.8714 | -0.9115 | -0.8851 | |
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| 0.5246 | 0.4711 | 900 | 0.4943 | -1.5285 | -2.5416 | 0.7660 | 1.0131 | -507.4219 | -429.2431 | -0.8138 | -0.7980 | |
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| 0.4635 | 0.5234 | 1000 | 0.4908 | -2.8177 | -4.0337 | 0.7630 | 1.2160 | -656.6334 | -558.1610 | -0.8713 | -0.8521 | |
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| 0.4856 | 0.5758 | 1100 | 0.4817 | -2.3661 | -3.4921 | 0.7720 | 1.1260 | -602.4694 | -512.9990 | -0.8044 | -0.7913 | |
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| 0.5013 | 0.6281 | 1200 | 0.4860 | -2.1162 | -3.2907 | 0.7720 | 1.1745 | -582.3287 | -488.0108 | -0.7890 | -0.7745 | |
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| 0.4497 | 0.6805 | 1300 | 0.4850 | -2.4840 | -3.7371 | 0.7730 | 1.2531 | -626.9694 | -524.7895 | -0.8096 | -0.7940 | |
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| 0.4734 | 0.7328 | 1400 | 0.4833 | -2.1466 | -3.3699 | 0.7740 | 1.2233 | -590.2520 | -491.0496 | -0.8148 | -0.7990 | |
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| 0.4482 | 0.7851 | 1500 | 0.4812 | -2.5061 | -3.7160 | 0.7760 | 1.2100 | -624.8656 | -527.0021 | -0.8423 | -0.8246 | |
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| 0.4982 | 0.8375 | 1600 | 0.4787 | -2.2293 | -3.3886 | 0.7770 | 1.1593 | -592.1224 | -499.3264 | -0.8377 | -0.8203 | |
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| 0.4594 | 0.8898 | 1700 | 0.4790 | -2.3679 | -3.5723 | 0.7730 | 1.2044 | -610.4911 | -513.1796 | -0.8566 | -0.8379 | |
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| 0.4551 | 0.9422 | 1800 | 0.4786 | -2.3275 | -3.5261 | 0.7730 | 1.1986 | -605.8722 | -509.1397 | -0.8587 | -0.8397 | |
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| 0.4605 | 0.9945 | 1900 | 0.4785 | -2.3086 | -3.5093 | 0.7740 | 1.2007 | -604.1885 | -507.2548 | -0.8544 | -0.8360 | |
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### Framework versions |
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- PEFT 0.11.1 |
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- Transformers 4.41.0 |
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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 |
