---
license: llama2
library_name: peft
tags:
- trl
- dpo
- generated_from_trainer
base_model: meta-llama/Llama-2-7b-chat-hf
model-index:
- name: model_shp2_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_shp2_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: 1.3878
- Rewards/chosen: -7.7597
- Rewards/rejected: -8.0105
- Rewards/accuracies: 0.6100
- Rewards/margins: 0.2509
- Logps/rejected: -290.7956
- Logps/chosen: -314.9470
- Logits/rejected: -1.2493
- Logits/chosen: -1.2818

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.0884        | 2.67  | 100  | 0.9487          | -2.0234        | -2.1729          | 0.5500             | 0.1495          | -232.4193      | -257.5841    | -1.3214         | -1.2894       |
| 0.0009        | 5.33  | 200  | 1.4986          | -7.8348        | -7.9036          | 0.5200             | 0.0687          | -289.7258      | -315.6984    | -1.3177         | -1.3419       |
| 0.0001        | 8.0   | 300  | 1.3323          | -7.1704        | -7.4119          | 0.6100             | 0.2415          | -284.8095      | -309.0548    | -1.2674         | -1.2968       |
| 0.0001        | 10.67 | 400  | 1.3579          | -7.4927        | -7.7408          | 0.6100             | 0.2481          | -288.0981      | -312.2774    | -1.2590         | -1.2900       |
| 0.0001        | 13.33 | 500  | 1.3799          | -7.6344        | -7.8716          | 0.6000             | 0.2372          | -289.4062      | -313.6946    | -1.2541         | -1.2860       |
| 0.0001        | 16.0  | 600  | 1.3885          | -7.7023        | -7.9449          | 0.5900             | 0.2425          | -290.1390      | -314.3737    | -1.2519         | -1.2836       |
| 0.0001        | 18.67 | 700  | 1.3971          | -7.7545        | -7.9878          | 0.6100             | 0.2332          | -290.5677      | -314.8956    | -1.2500         | -1.2826       |
| 0.0001        | 21.33 | 800  | 1.3951          | -7.7604        | -8.0061          | 0.6000             | 0.2458          | -290.7514      | -314.9539    | -1.2490         | -1.2817       |
| 0.0001        | 24.0  | 900  | 1.3904          | -7.7591        | -8.0015          | 0.6100             | 0.2424          | -290.7051      | -314.9411    | -1.2491         | -1.2818       |
| 0.0001        | 26.67 | 1000 | 1.3878          | -7.7597        | -8.0105          | 0.6100             | 0.2509          | -290.7956      | -314.9470    | -1.2493         | -1.2818       |


### Framework versions

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