---
license: apache-2.0
library_name: peft
tags:
- trl-dpo
- generated_from_trainer
base_model: mistralai/Mistral-7B-v0.1
model-index:
- name: zephyr-7b-ipo-lora
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# zephyr-7b-ipo-lora

This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 18.0888
- Rewards/chosen: 0.0201
- Rewards/rejected: -0.1194
- Rewards/accuracies: 0.7320
- Rewards/margins: 0.1395
- Logps/rejected: -212.8609
- Logps/chosen: -268.5415
- Logits/rejected: -2.3003
- Logits/chosen: -2.6873

## 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-07
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 32
- total_train_batch_size: 256
- total_eval_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 19.1303       | 1.0   | 242  | 18.9124         | 0.0302         | -0.0939          | 0.7360             | 0.1241          | -212.6061      | -268.4410    | -2.3029         | -2.6884       |
| 19.0824       | 2.0   | 484  | 18.2266         | 0.0186         | -0.1163          | 0.7600             | 0.1349          | -212.8297      | -268.5567    | -2.3011         | -2.6877       |
| 18.0366       | 3.0   | 726  | 18.0888         | 0.0201         | -0.1194          | 0.7320             | 0.1395          | -212.8609      | -268.5415    | -2.3003         | -2.6873       |


### Framework versions

- Transformers 4.36.1
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.15.0
## Training procedure


### Framework versions


- PEFT 0.6.1