---
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: 0.5264
- Rewards/chosen: -0.1560
- Rewards/rejected: -0.9014
- Rewards/accuracies: 0.7345
- Rewards/margins: 0.7454
- Logps/rejected: -232.6823
- Logps/chosen: -266.1183
- Logits/rejected: -1.9666
- Logits/chosen: -2.0208

## 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
- gradient_accumulation_steps: 32
- total_train_batch_size: 64
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.5648        | 1.0   | 968  | 0.5548          | -0.1107        | -0.6467          | 0.7115             | 0.5360          | -230.1347      | -265.6653    | -2.0150         | -2.0685       |
| 0.5563        | 2.0   | 1936 | 0.5313          | -0.1530        | -0.8621          | 0.7315             | 0.7091          | -232.2889      | -266.0887    | -1.9774         | -2.0312       |
| 0.5172        | 3.0   | 2904 | 0.5264          | -0.1560        | -0.9014          | 0.7345             | 0.7454          | -232.6823      | -266.1183    | -1.9666         | -2.0208       |


### Framework versions

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