---
license: mit
library_name: peft
tags:
- trl
- dpo
- generated_from_trainer
base_model: microsoft/phi-2
model-index:
- name: phi-2-distilabeled-intel-orca-dpo
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# phi-2-distilabeled-intel-orca-dpo

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: 0.3007
- Rewards/chosen: 0.0679
- Rewards/rejected: -1.3058
- Rewards/accuracies: 0.9265
- Rewards/margins: 1.3737
- Logps/rejected: -265.9995
- Logps/chosen: -117.6325
- Logits/rejected: 0.3789
- Logits/chosen: 0.3129

## 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
- training_steps: 100

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6803        | 0.06  | 20   | 0.6533          | 0.0100         | -0.0741          | 0.8386             | 0.0841          | -253.6825      | -118.2115    | 0.3760          | 0.3395        |
| 0.5855        | 0.12  | 40   | 0.5133          | 0.0376         | -0.3927          | 0.9195             | 0.4303          | -256.8685      | -117.9349    | 0.3829          | 0.3363        |
| 0.452         | 0.19  | 60   | 0.3846          | 0.0620         | -0.8319          | 0.9246             | 0.8938          | -261.2602      | -117.6917    | 0.3875          | 0.3290        |
| 0.3538        | 0.25  | 80   | 0.3200          | 0.0716         | -1.1689          | 0.9269             | 1.2405          | -264.6308      | -117.5958    | 0.3836          | 0.3189        |
| 0.295         | 0.31  | 100  | 0.3007          | 0.0679         | -1.3058          | 0.9265             | 1.3737          | -265.9995      | -117.6325    | 0.3789          | 0.3129        |


### Framework versions

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