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--- |
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license: apache-2.0 |
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library_name: peft |
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tags: |
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- alignment-handbook |
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- generated_from_trainer |
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- trl |
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- dpo |
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- generated_from_trainer |
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datasets: |
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- snorkelai/Snorkel-Mistral-PairRM-DPO-Dataset |
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base_model: mistralai/Mistral-7B-v0.1 |
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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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# zephyr-7b-dpo-qlora |
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This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the snorkelai/Snorkel-Mistral-PairRM-DPO-Dataset dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6668 |
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- Rewards/chosen: -0.2672 |
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- Rewards/rejected: -0.3491 |
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- Rewards/accuracies: 0.6137 |
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- Rewards/margins: 0.0819 |
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- Logps/rejected: -378.9569 |
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- Logps/chosen: -361.0521 |
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- Logits/rejected: -2.5949 |
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- Logits/chosen: -2.5884 |
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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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- gradient_accumulation_steps: 4 |
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- total_train_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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| 0.6933 | 0.08 | 100 | 0.6930 | -0.0077 | -0.0080 | 0.5177 | 0.0004 | -344.8478 | -335.0984 | -2.4838 | -2.4768 | |
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| 0.6926 | 0.16 | 200 | 0.6923 | -0.0138 | -0.0155 | 0.5427 | 0.0017 | -345.5920 | -335.7114 | -2.4836 | -2.4766 | |
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| 0.6906 | 0.24 | 300 | 0.6917 | -0.0130 | -0.0161 | 0.5523 | 0.0031 | -345.6560 | -335.6324 | -2.4879 | -2.4809 | |
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| 0.6884 | 0.32 | 400 | 0.6898 | -0.0075 | -0.0146 | 0.5807 | 0.0071 | -345.4990 | -335.0794 | -2.4972 | -2.4901 | |
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| 0.6753 | 0.4 | 500 | 0.6856 | -0.1385 | -0.1579 | 0.5630 | 0.0194 | -359.8317 | -348.1783 | -2.4986 | -2.4916 | |
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| 0.6839 | 0.48 | 600 | 0.6815 | -0.3188 | -0.3556 | 0.5667 | 0.0368 | -379.6049 | -366.2155 | -2.5394 | -2.5333 | |
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| 0.6535 | 0.56 | 700 | 0.6770 | -0.4204 | -0.4741 | 0.5763 | 0.0537 | -391.4496 | -376.3719 | -2.5483 | -2.5425 | |
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| 0.6764 | 0.64 | 800 | 0.6724 | -0.2481 | -0.3087 | 0.5990 | 0.0606 | -374.9128 | -359.1413 | -2.5714 | -2.5651 | |
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| 0.6753 | 0.72 | 900 | 0.6704 | -0.4283 | -0.5062 | 0.5983 | 0.0780 | -394.6671 | -377.1592 | -2.5807 | -2.5750 | |
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| 0.6459 | 0.8 | 1000 | 0.6680 | -0.2406 | -0.3163 | 0.6127 | 0.0757 | -375.6733 | -358.3894 | -2.5924 | -2.5858 | |
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| 0.6541 | 0.88 | 1100 | 0.6670 | -0.2806 | -0.3625 | 0.6157 | 0.0820 | -380.2968 | -362.3882 | -2.5942 | -2.5878 | |
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| 0.6422 | 0.96 | 1200 | 0.6669 | -0.2657 | -0.3473 | 0.6157 | 0.0817 | -378.7738 | -360.8972 | -2.5963 | -2.5898 | |
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### Framework versions |
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- PEFT 0.7.1 |
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- Transformers 4.36.2 |
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- Pytorch 2.1.2 |
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- Datasets 2.14.6 |
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- Tokenizers 0.15.0 |
