---
license: other
license_name: microsoft-research-license
license_link: https://huggingface.co/microsoft/phi-2/resolve/main/LICENSE
library_name: peft
tags:
- llama-factory
- lora
- generated_from_trainer
base_model: ./models/phi-2-sft-alpaca_gpt4_en-ep1
model-index:
- name: phi-2-sft-alpaca_gpt4_en-ep1-dpo-comparison_gpt4_en-ep1-lora
  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. -->

# phi-2-sft-alpaca_gpt4_en-ep1-dpo-comparison_gpt4_en-ep1-lora

This model is a fine-tuned version of [./models/phi-2-sft-alpaca_gpt4_en-ep1](https://huggingface.co/./models/phi-2-sft-alpaca_gpt4_en-ep1) on the comparison_gpt4_en dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0168
- Rewards/chosen: -1.5750
- Rewards/rejected: -11.4002
- Rewards/accuracies: 0.9956
- Rewards/margins: 9.8253
- Logps/rejected: -142.2352
- Logps/chosen: -139.5300
- Logits/rejected: 0.6066
- Logits/chosen: 0.9744

## 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: 5e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- total_eval_batch_size: 2
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 1.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.0534        | 0.24  | 1000 | 0.0217          | -1.6714        | -10.2359         | 0.9945             | 8.5645          | -130.5921      | -140.4941    | 0.3064          | 0.5735        |
| 0.0182        | 0.49  | 2000 | 0.0175          | -1.5469        | -10.9602         | 0.9951             | 9.4133          | -137.8349      | -139.2487    | 0.6230          | 1.0709        |
| 0.0162        | 0.73  | 3000 | 0.0171          | -1.5517        | -11.4444         | 0.9962             | 9.8927          | -142.6772      | -139.2976    | 0.6325          | 1.0048        |
| 0.0154        | 0.98  | 4000 | 0.0168          | -1.5741        | -11.4004         | 0.9956             | 9.8262          | -142.2364      | -139.5214    | 0.6051          | 0.9729        |


### Framework versions

- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.15.0