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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-Instruct-v0.2 |
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model-index: |
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- name: zephyr-7b-dpo-qlora-pairrm |
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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-pairrm |
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This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) 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: 0.6749 |
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- Rewards/chosen: -1.5494 |
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- Rewards/rejected: -1.6972 |
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- Rewards/accuracies: 0.5740 |
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- Rewards/margins: 0.1478 |
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- Logps/rejected: -396.0607 |
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- Logps/chosen: -375.6489 |
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- Logits/rejected: -4.3831 |
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- Logits/chosen: -4.3963 |
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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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| 0.6909 | 0.08 | 100 | 0.6922 | -0.0180 | -0.0200 | 0.5237 | 0.0020 | -228.3365 | -222.5081 | -2.6230 | -2.6258 | |
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| 0.6843 | 0.16 | 200 | 0.6873 | -0.0792 | -0.0932 | 0.5547 | 0.0140 | -235.6526 | -228.6281 | -2.7602 | -2.7632 | |
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| 0.68 | 0.24 | 300 | 0.6840 | -0.5133 | -0.5505 | 0.5473 | 0.0372 | -281.3831 | -272.0374 | -3.5011 | -3.5067 | |
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| 0.657 | 0.32 | 400 | 0.6808 | -0.8624 | -0.9278 | 0.5583 | 0.0654 | -319.1186 | -306.9489 | -3.7427 | -3.7523 | |
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| 0.6342 | 0.4 | 500 | 0.6784 | -0.9237 | -1.0040 | 0.5580 | 0.0803 | -326.7317 | -313.0756 | -4.1065 | -4.1163 | |
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| 0.6341 | 0.48 | 600 | 0.6767 | -1.2010 | -1.3087 | 0.5630 | 0.1077 | -357.2099 | -340.8084 | -4.4445 | -4.4555 | |
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| 0.573 | 0.56 | 700 | 0.6808 | -1.5618 | -1.6922 | 0.5633 | 0.1304 | -395.5549 | -376.8888 | -4.4479 | -4.4607 | |
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| 0.6384 | 0.64 | 800 | 0.6753 | -1.3648 | -1.4912 | 0.5660 | 0.1264 | -375.4593 | -357.1873 | -4.1713 | -4.1824 | |
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| 0.6728 | 0.72 | 900 | 0.6791 | -1.6856 | -1.8328 | 0.5713 | 0.1471 | -409.6128 | -389.2689 | -4.5250 | -4.5392 | |
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| 0.603 | 0.8 | 1000 | 0.6767 | -1.6183 | -1.7689 | 0.5770 | 0.1506 | -403.2299 | -382.5415 | -4.4899 | -4.5034 | |
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| 0.6732 | 0.88 | 1100 | 0.6753 | -1.5670 | -1.7162 | 0.5777 | 0.1493 | -397.9568 | -377.4016 | -4.4104 | -4.4236 | |
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| 0.6431 | 0.96 | 1200 | 0.6750 | -1.5516 | -1.6995 | 0.5773 | 0.1479 | -396.2836 | -375.8671 | -4.3848 | -4.3979 | |
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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 |