---
license: apache-2.0
base_model: mistralai/Mistral-7B-v0.1
tags:
- trl
- dpo
- generated_from_trainer
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
should probably proofread and complete it, then remove this comment. -->

# 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: 18.3397
- Rewards/chosen: 0.0292
- Rewards/rejected: -0.1006
- Rewards/accuracies: 0.7200
- Rewards/margins: 0.1298
- Logps/rejected: -212.0379
- Logps/chosen: -255.2319
- Logits/rejected: -1.7967
- Logits/chosen: -2.0243

## 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: 2
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 32
- total_train_batch_size: 256
- total_eval_batch_size: 16
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 19.3937       | 1.0   | 242  | 19.3450         | 0.0291         | -0.0729          | 0.7040             | 0.1020          | -211.7608      | -255.2333    | -1.7962         | -2.0237       |
| 19.376        | 2.0   | 484  | 18.8198         | 0.0270         | -0.0949          | 0.7020             | 0.1218          | -211.9809      | -255.2546    | -1.7954         | -2.0232       |
| 18.4503       | 3.0   | 726  | 18.3397         | 0.0292         | -0.1006          | 0.7200             | 0.1298          | -212.0379      | -255.2319    | -1.7967         | -2.0243       |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1