---
license: llama2
library_name: peft
tags:
- trl
- dpo
- generated_from_trainer
base_model: meta-llama/Llama-2-7b-chat-hf
model-index:
- name: model_shp3_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_shp3_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: 2.0149
- Rewards/chosen: -10.1791
- Rewards/rejected: -11.7765
- Rewards/accuracies: 0.5700
- Rewards/margins: 1.5974
- Logps/rejected: -384.5022
- Logps/chosen: -344.3792
- Logits/rejected: -0.9104
- Logits/chosen: -0.9161

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.0698        | 2.67  | 100  | 1.0791          | -4.0199        | -4.9604          | 0.5900             | 0.9405          | -316.3408      | -282.7867    | -0.9293         | -0.9672       |
| 0.0004        | 5.33  | 200  | 1.5283          | -7.2654        | -8.3476          | 0.5800             | 1.0822          | -350.2130      | -315.2426    | -0.9409         | -0.9510       |
| 0.0001        | 8.0   | 300  | 1.9265          | -9.7069        | -11.2491         | 0.5700             | 1.5421          | -379.2276      | -339.6573    | -0.9224         | -0.9298       |
| 0.0001        | 10.67 | 400  | 1.9667          | -9.9054        | -11.4492         | 0.5700             | 1.5439          | -381.2295      | -341.6420    | -0.9181         | -0.9248       |
| 0.0001        | 13.33 | 500  | 1.9959          | -10.0523       | -11.6165         | 0.5700             | 1.5642          | -382.9025      | -343.1115    | -0.9137         | -0.9198       |
| 0.0           | 16.0  | 600  | 2.0035          | -10.1182       | -11.7116         | 0.5700             | 1.5934          | -383.8533      | -343.7699    | -0.9121         | -0.9185       |
| 0.0001        | 18.67 | 700  | 2.0159          | -10.1627       | -11.7547         | 0.5700             | 1.5920          | -384.2843      | -344.2155    | -0.9115         | -0.9169       |
| 0.0           | 21.33 | 800  | 2.0163          | -10.1740       | -11.7677         | 0.5700             | 1.5937          | -384.4142      | -344.3281    | -0.9103         | -0.9160       |
| 0.0           | 24.0  | 900  | 2.0220          | -10.1842       | -11.7817         | 0.5700             | 1.5976          | -384.5541      | -344.4297    | -0.9106         | -0.9160       |
| 0.0001        | 26.67 | 1000 | 2.0149          | -10.1791       | -11.7765         | 0.5700             | 1.5974          | -384.5022      | -344.3792    | -0.9104         | -0.9161       |


### Framework versions

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