---
license: llama2
library_name: peft
tags:
- trl
- dpo
- generated_from_trainer
base_model: meta-llama/Llama-2-7b-chat-hf
model-index:
- name: model_shp4_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_shp4_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: 1.7562
- Rewards/chosen: -8.5308
- Rewards/rejected: -8.4695
- Rewards/accuracies: 0.5200
- Rewards/margins: -0.0613
- Logps/rejected: -331.4397
- Logps/chosen: -314.9189
- Logits/rejected: -1.1613
- Logits/chosen: -1.1692

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.0922        | 2.67  | 100  | 1.1410          | -4.1724        | -4.0602          | 0.5600             | -0.1122         | -287.3470      | -271.3348    | -0.9400         | -0.9462       |
| 0.0014        | 5.33  | 200  | 1.6279          | -8.0256        | -7.9377          | 0.5400             | -0.0879         | -326.1222      | -309.8669    | -1.2061         | -1.2156       |
| 0.0001        | 8.0   | 300  | 1.6781          | -7.8271        | -7.7492          | 0.4900             | -0.0780         | -324.2366      | -307.8824    | -1.1931         | -1.2019       |
| 0.0001        | 10.67 | 400  | 1.7244          | -8.2046        | -8.1268          | 0.5100             | -0.0778         | -328.0134      | -311.6574    | -1.1773         | -1.1864       |
| 0.0001        | 13.33 | 500  | 1.7449          | -8.3826        | -8.3126          | 0.5100             | -0.0701         | -329.8707      | -313.4376    | -1.1689         | -1.1774       |
| 0.0001        | 16.0  | 600  | 1.7522          | -8.4707        | -8.4001          | 0.5100             | -0.0706         | -330.7461      | -314.3180    | -1.1649         | -1.1729       |
| 0.0001        | 18.67 | 700  | 1.7553          | -8.5177        | -8.4517          | 0.5200             | -0.0659         | -331.2625      | -314.7882    | -1.1626         | -1.1704       |
| 0.0001        | 21.33 | 800  | 1.7608          | -8.5360        | -8.4723          | 0.5200             | -0.0637         | -331.4679      | -314.9713    | -1.1608         | -1.1692       |
| 0.0001        | 24.0  | 900  | 1.7653          | -8.5361        | -8.4664          | 0.5200             | -0.0697         | -331.4087      | -314.9720    | -1.1617         | -1.1693       |
| 0.0001        | 26.67 | 1000 | 1.7562          | -8.5308        | -8.4695          | 0.5200             | -0.0613         | -331.4397      | -314.9189    | -1.1613         | -1.1692       |


### Framework versions

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