---
license: mit
library_name: peft
tags:
- trl
- dpo
- generated_from_trainer
base_model: microsoft/phi-2
model-index:
- name: phi2-lora-quantized-distilabel-intel-orca-dpo-pairs
  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. -->

# phi2-lora-quantized-distilabel-intel-orca-dpo-pairs

This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co./microsoft/phi-2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0972
- Rewards/chosen: 0.2699
- Rewards/rejected: -5.8246
- Rewards/accuracies: 0.9623
- Rewards/margins: 6.0944
- Logps/rejected: -311.1872
- Logps/chosen: -115.6127
- Logits/rejected: 0.0766
- Logits/chosen: 0.0242

## 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-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 20
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6805        | 0.06  | 20   | 0.6540          | 0.0096         | -0.0728          | 0.8367             | 0.0824          | -253.6698      | -118.2153    | 0.3760          | 0.3395        |
| 0.5821        | 0.12  | 40   | 0.4977          | 0.0383         | -0.4385          | 0.9199             | 0.4768          | -257.3268      | -117.9285    | 0.3836          | 0.3356        |
| 0.4163        | 0.19  | 60   | 0.3225          | 0.0641         | -1.1656          | 0.9257             | 1.2298          | -264.5979      | -117.6701    | 0.3836          | 0.3192        |
| 0.275         | 0.25  | 80   | 0.2245          | 0.0476         | -2.1180          | 0.9316             | 2.1656          | -274.1212      | -117.8351    | 0.3399          | 0.2698        |
| 0.1808        | 0.31  | 100  | 0.1771          | -0.0012        | -3.2019          | 0.9366             | 3.2007          | -284.9609      | -118.3238    | 0.2615          | 0.1964        |
| 0.1405        | 0.37  | 120  | 0.1528          | 0.0185         | -4.0396          | 0.9425             | 4.0581          | -293.3371      | -118.1262    | 0.1983          | 0.1407        |
| 0.1121        | 0.44  | 140  | 0.1389          | 0.0285         | -4.6518          | 0.9471             | 4.6802          | -299.4591      | -118.0267    | 0.1493          | 0.0980        |
| 0.1544        | 0.5   | 160  | 0.1289          | 0.0745         | -4.9025          | 0.9506             | 4.9771          | -301.9670      | -117.5659    | 0.1257          | 0.0785        |
| 0.1594        | 0.56  | 180  | 0.1204          | 0.1435         | -4.8770          | 0.9561             | 5.0205          | -301.7119      | -116.8765    | 0.1168          | 0.0696        |
| 0.0988        | 0.62  | 200  | 0.1136          | 0.1830         | -5.1569          | 0.9576             | 5.3400          | -304.5108      | -116.4809    | 0.1078          | 0.0579        |
| 0.1141        | 0.68  | 220  | 0.1080          | 0.2052         | -5.4532          | 0.9580             | 5.6584          | -307.4731      | -116.2591    | 0.0962          | 0.0460        |
| 0.0943        | 0.75  | 240  | 0.1037          | 0.2326         | -5.6061          | 0.9592             | 5.8387          | -309.0026      | -115.9850    | 0.0913          | 0.0393        |
| 0.1108        | 0.81  | 260  | 0.1008          | 0.2500         | -5.7399          | 0.9607             | 5.9900          | -310.3409      | -115.8109    | 0.0827          | 0.0316        |
| 0.1088        | 0.87  | 280  | 0.0987          | 0.2677         | -5.7068          | 0.9619             | 5.9745          | -310.0096      | -115.6346    | 0.0825          | 0.0301        |
| 0.0741        | 0.93  | 300  | 0.0975          | 0.2701         | -5.7873          | 0.9623             | 6.0574          | -310.8145      | -115.6102    | 0.0788          | 0.0261        |
| 0.1059        | 1.0   | 320  | 0.0972          | 0.2699         | -5.8246          | 0.9623             | 6.0944          | -311.1872      | -115.6127    | 0.0766          | 0.0242        |


### Framework versions

- PEFT 0.7.1
- Transformers 4.37.1
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1