---
license: apache-2.0
base_model: mistralai/Mistral-7B-v0.1
tags:
- generated_from_trainer
model-index:
- name: zephyr-7b-dpo-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-dpo-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: 0.5254
- Rewards/chosen: -0.1284
- Rewards/rejected: -0.9165
- Rewards/accuracies: 0.7400
- Rewards/margins: 0.7881
- Logps/rejected: -229.5277
- Logps/chosen: -266.8034
- Logits/rejected: -2.8774
- Logits/chosen: -2.9668

## 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: 2
- gradient_accumulation_steps: 32
- total_train_batch_size: 64
- total_eval_batch_size: 2
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.545         | 1.0   | 968  | 0.5543          | -0.0951        | -0.6704          | 0.7270             | 0.5752          | -227.0664      | -266.4709    | -2.8955         | -2.9826       |
| 0.5144        | 2.0   | 1936 | 0.5310          | -0.1339        | -0.8883          | 0.7360             | 0.7544          | -229.2458      | -266.8581    | -2.8813         | -2.9701       |
| 0.518         | 3.0   | 2904 | 0.5254          | -0.1284        | -0.9165          | 0.7400             | 0.7881          | -229.5277      | -266.8034    | -2.8774         | -2.9668       |


### Framework versions

- Transformers 4.36.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.15.0