---
license: llama2
library_name: peft
tags:
- trl
- dpo
- generated_from_trainer
base_model: meta-llama/Llama-2-7b-hf
model-index:
- name: llama_DPO_model_e1
  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. -->

# llama_DPO_model_e1

This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1779
- Rewards/chosen: 0.3527
- Rewards/rejected: -1.3764
- Rewards/accuracies: 1.0
- Rewards/margins: 1.7292
- Logps/rejected: -198.5740
- Logps/chosen: -157.1067
- Logits/rejected: -1.0528
- Logits/chosen: -0.8587

## 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: 1e-06
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6603        | 0.1   | 25   | 0.6253          | 0.0416         | -0.1007          | 0.9633             | 0.1423          | -185.8169      | -160.2181    | -1.0525         | -0.8550       |
| 0.5342        | 0.2   | 50   | 0.5074          | 0.1130         | -0.3090          | 1.0                | 0.4220          | -187.8993      | -159.5039    | -1.0525         | -0.8569       |
| 0.4382        | 0.3   | 75   | 0.4022          | 0.1798         | -0.5442          | 1.0                | 0.7241          | -190.2517      | -158.8354    | -1.0530         | -0.8563       |
| 0.3592        | 0.4   | 100  | 0.3212          | 0.2338         | -0.7752          | 1.0                | 1.0090          | -192.5613      | -158.2961    | -1.0531         | -0.8579       |
| 0.3035        | 0.5   | 125  | 0.2590          | 0.2824         | -0.9912          | 1.0                | 1.2736          | -194.7217      | -157.8096    | -1.0528         | -0.8583       |
| 0.2374        | 0.6   | 150  | 0.2125          | 0.3190         | -1.1966          | 1.0                | 1.5157          | -196.7760      | -157.4438    | -1.0528         | -0.8575       |
| 0.2094        | 0.7   | 175  | 0.1868          | 0.3455         | -1.3260          | 1.0                | 1.6714          | -198.0693      | -157.1793    | -1.0528         | -0.8598       |
| 0.1886        | 0.79  | 200  | 0.1796          | 0.3491         | -1.3639          | 1.0                | 1.7130          | -198.4486      | -157.1428    | -1.0532         | -0.8617       |
| 0.1805        | 0.89  | 225  | 0.1785          | 0.3523         | -1.3731          | 1.0                | 1.7254          | -198.5406      | -157.1107    | -1.0530         | -0.8593       |
| 0.1821        | 0.99  | 250  | 0.1779          | 0.3527         | -1.3764          | 1.0                | 1.7292          | -198.5740      | -157.1067    | -1.0528         | -0.8587       |


### Framework versions

- PEFT 0.8.2
- Transformers 4.38.1
- Pytorch 2.2.0+cu118
- Datasets 2.17.1
- Tokenizers 0.15.2