---
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: -7.5416
- Rewards/chosen: -29.9194
- Rewards/rejected: -39.8539
- Rewards/accuracies: 0.6151
- Rewards/margins: 9.9345
- Logps/rejected: -633.4722
- Logps/chosen: -588.9970
- Logits/rejected: -1.0751
- Logits/chosen: -1.2630

## 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: 8
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 64
- total_eval_batch_size: 32
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| -0.2007       | 1.0   | 969  | -0.0988         | -1.1416        | -2.4993          | 0.6746             | 1.3577          | -259.9262      | -301.2188    | -1.9876         | -2.0976       |
| -2.3739       | 2.0   | 1938 | -3.0140         | -12.9185       | -17.8885         | 0.6587             | 4.9699          | -413.8172      | -418.9880    | -1.4397         | -1.5909       |
| -5.7169       | 3.0   | 2907 | -7.5416         | -29.9194       | -39.8539         | 0.6151             | 9.9345          | -633.4722      | -588.9970    | -1.0751         | -1.2630       |


### Framework versions

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