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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-lora-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-lora-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: 0.6764
- Rewards/chosen: -0.9885
- Rewards/rejected: -1.0650
- Rewards/accuracies: 0.5657
- Rewards/margins: 0.0765
- Logps/rejected: -320.4450
- Logps/chosen: -307.4615
- Logits/rejected: -2.7535
- Logits/chosen: -2.7599
## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6916 | 0.08 | 100 | 0.6925 | -0.0162 | -0.0177 | 0.5280 | 0.0015 | -215.7187 | -210.2296 | -2.5058 | -2.5086 |
| 0.6855 | 0.16 | 200 | 0.6880 | -0.0651 | -0.0772 | 0.5613 | 0.0121 | -221.6710 | -215.1240 | -2.5152 | -2.5178 |
| 0.6825 | 0.24 | 300 | 0.6854 | -0.1874 | -0.2081 | 0.5473 | 0.0207 | -234.7546 | -227.3457 | -2.5175 | -2.5192 |
| 0.6676 | 0.32 | 400 | 0.6827 | -0.2909 | -0.3222 | 0.5477 | 0.0313 | -246.1682 | -237.7042 | -2.5347 | -2.5368 |
| 0.6458 | 0.4 | 500 | 0.6805 | -0.3693 | -0.4104 | 0.5567 | 0.0410 | -254.9852 | -245.5435 | -2.6328 | -2.6364 |
| 0.6592 | 0.48 | 600 | 0.6789 | -0.6010 | -0.6528 | 0.5560 | 0.0518 | -279.2278 | -268.7087 | -2.6805 | -2.6845 |
| 0.6107 | 0.56 | 700 | 0.6785 | -0.8159 | -0.8786 | 0.5550 | 0.0627 | -301.8047 | -290.1964 | -2.6914 | -2.6969 |
| 0.6475 | 0.64 | 800 | 0.6770 | -0.8845 | -0.9544 | 0.5610 | 0.0699 | -309.3867 | -297.0627 | -2.7237 | -2.7295 |
| 0.6639 | 0.72 | 900 | 0.6766 | -0.9705 | -1.0450 | 0.5667 | 0.0746 | -318.4507 | -305.6558 | -2.7464 | -2.7525 |
| 0.6305 | 0.8 | 1000 | 0.6764 | -0.9844 | -1.0603 | 0.5680 | 0.0759 | -319.9799 | -307.0536 | -2.7543 | -2.7606 |
| 0.6754 | 0.88 | 1100 | 0.6763 | -0.9882 | -1.0648 | 0.5687 | 0.0766 | -320.4283 | -307.4264 | -2.7538 | -2.7602 |
| 0.6577 | 0.96 | 1200 | 0.6764 | -0.9885 | -1.0649 | 0.5663 | 0.0764 | -320.4412 | -307.4615 | -2.7538 | -2.7602 |
### Framework versions
- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.1.2
- Datasets 2.14.6
- Tokenizers 0.15.0 |