---
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: 0.5266
- Rewards/chosen: -0.1470
- Rewards/rejected: -0.8985
- Rewards/accuracies: 0.7460
- Rewards/margins: 0.7516
- Logps/rejected: -228.2694
- Logps/chosen: -266.1304
- Logits/rejected: -1.9412
- Logits/chosen: -2.0659

## 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: 8
- total_train_batch_size: 64
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.5501        | 1.0   | 968  | 0.5560          | -0.1093        | -0.6400          | 0.7200             | 0.5307          | -225.6847      | -265.7538    | -1.9901         | -2.1115       |
| 0.5412        | 2.0   | 1936 | 0.5318          | -0.1497        | -0.8640          | 0.7420             | 0.7143          | -227.9245      | -266.1583    | -1.9509         | -2.0748       |
| 0.5454        | 3.0   | 2904 | 0.5266          | -0.1470        | -0.8985          | 0.7460             | 0.7516          | -228.2694      | -266.1304    | -1.9412         | -2.0659       |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.1+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1