---
license: llama2
library_name: peft
tags:
- trl
- dpo
- generated_from_trainer
base_model: meta-llama/Llama-2-7b-chat-hf
model-index:
- name: model_shp1_dpo1
  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. -->

# model_shp1_dpo1

This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama-2-7b-chat-hf) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0112
- Rewards/chosen: -9.7625
- Rewards/rejected: -9.2926
- Rewards/accuracies: 0.4700
- Rewards/margins: -0.4699
- Logps/rejected: -307.4124
- Logps/chosen: -345.0927
- Logits/rejected: -1.0692
- Logits/chosen: -1.0975

## 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: 0.0005
- train_batch_size: 4
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- training_steps: 1000

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.0741        | 2.67  | 100  | 1.1825          | -3.1899        | -3.0393          | 0.4800             | -0.1506         | -244.8796      | -279.3668    | -1.2034         | -1.2620       |
| 0.0016        | 5.33  | 200  | 2.1179          | -8.9597        | -8.2224          | 0.4100             | -0.7372         | -296.7111      | -337.0645    | -1.1154         | -1.1503       |
| 0.0001        | 8.0   | 300  | 1.9624          | -9.5308        | -9.0562          | 0.4500             | -0.4746         | -305.0487      | -342.7763    | -1.0878         | -1.1168       |
| 0.0001        | 10.67 | 400  | 1.9799          | -9.6041        | -9.1296          | 0.4500             | -0.4745         | -305.7831      | -343.5089    | -1.0797         | -1.1079       |
| 0.0001        | 13.33 | 500  | 1.9938          | -9.6787        | -9.2063          | 0.4500             | -0.4724         | -306.5495      | -344.2545    | -1.0746         | -1.1031       |
| 0.0001        | 16.0  | 600  | 2.0046          | -9.7222        | -9.2446          | 0.4600             | -0.4776         | -306.9330      | -344.6898    | -1.0722         | -1.0999       |
| 0.0001        | 18.67 | 700  | 2.0079          | -9.7525        | -9.2749          | 0.4500             | -0.4776         | -307.2361      | -344.9933    | -1.0706         | -1.0984       |
| 0.0001        | 21.33 | 800  | 2.0091          | -9.7588        | -9.2867          | 0.4600             | -0.4721         | -307.3541      | -345.0561    | -1.0699         | -1.0978       |
| 0.0001        | 24.0  | 900  | 2.0158          | -9.7704        | -9.2915          | 0.4500             | -0.4789         | -307.4015      | -345.1719    | -1.0694         | -1.0975       |
| 0.0001        | 26.67 | 1000 | 2.0112          | -9.7625        | -9.2926          | 0.4700             | -0.4699         | -307.4124      | -345.0927    | -1.0692         | -1.0975       |


### Framework versions

- PEFT 0.10.0
- Transformers 4.39.1
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2