---
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