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---
license: apache-2.0
library_name: peft
tags:
- alignment-handbook
- generated_from_trainer
- trl
- dpo
- generated_from_trainer
datasets:
- snorkelai/Snorkel-Mistral-PairRM-DPO-Dataset
base_model: mistralai/Mistral-7B-Instruct-v0.2
model-index:
- name: zephyr-7b-dpo-qlora-pairrm
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# zephyr-7b-dpo-qlora-pairrm
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.
It achieves the following results on the evaluation set:
- Loss: 0.6749
- Rewards/chosen: -1.5494
- Rewards/rejected: -1.6972
- Rewards/accuracies: 0.5740
- Rewards/margins: 0.1478
- Logps/rejected: -396.0607
- Logps/chosen: -375.6489
- Logits/rejected: -4.3831
- Logits/chosen: -4.3963
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-06
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6909 | 0.08 | 100 | 0.6922 | -0.0180 | -0.0200 | 0.5237 | 0.0020 | -228.3365 | -222.5081 | -2.6230 | -2.6258 |
| 0.6843 | 0.16 | 200 | 0.6873 | -0.0792 | -0.0932 | 0.5547 | 0.0140 | -235.6526 | -228.6281 | -2.7602 | -2.7632 |
| 0.68 | 0.24 | 300 | 0.6840 | -0.5133 | -0.5505 | 0.5473 | 0.0372 | -281.3831 | -272.0374 | -3.5011 | -3.5067 |
| 0.657 | 0.32 | 400 | 0.6808 | -0.8624 | -0.9278 | 0.5583 | 0.0654 | -319.1186 | -306.9489 | -3.7427 | -3.7523 |
| 0.6342 | 0.4 | 500 | 0.6784 | -0.9237 | -1.0040 | 0.5580 | 0.0803 | -326.7317 | -313.0756 | -4.1065 | -4.1163 |
| 0.6341 | 0.48 | 600 | 0.6767 | -1.2010 | -1.3087 | 0.5630 | 0.1077 | -357.2099 | -340.8084 | -4.4445 | -4.4555 |
| 0.573 | 0.56 | 700 | 0.6808 | -1.5618 | -1.6922 | 0.5633 | 0.1304 | -395.5549 | -376.8888 | -4.4479 | -4.4607 |
| 0.6384 | 0.64 | 800 | 0.6753 | -1.3648 | -1.4912 | 0.5660 | 0.1264 | -375.4593 | -357.1873 | -4.1713 | -4.1824 |
| 0.6728 | 0.72 | 900 | 0.6791 | -1.6856 | -1.8328 | 0.5713 | 0.1471 | -409.6128 | -389.2689 | -4.5250 | -4.5392 |
| 0.603 | 0.8 | 1000 | 0.6767 | -1.6183 | -1.7689 | 0.5770 | 0.1506 | -403.2299 | -382.5415 | -4.4899 | -4.5034 |
| 0.6732 | 0.88 | 1100 | 0.6753 | -1.5670 | -1.7162 | 0.5777 | 0.1493 | -397.9568 | -377.4016 | -4.4104 | -4.4236 |
| 0.6431 | 0.96 | 1200 | 0.6750 | -1.5516 | -1.6995 | 0.5773 | 0.1479 | -396.2836 | -375.8671 | -4.3848 | -4.3979 |
### Framework versions
- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.1.2
- Datasets 2.14.6
- Tokenizers 0.15.0 |