---
library_name: transformers
base_model: data/OpenELM-1_1B-SFT
tags:
- alignment-handbook
- trl
- dpo
- generated_from_trainer
- trl
- dpo
- generated_from_trainer
datasets:
- HuggingFaceH4/ultrafeedback_binarized
model-index:
- name: OpenELM-1_1B-DPO
  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. -->

# OpenELM-1_1B-DPO

This model is a fine-tuned version of [data/OpenELM-1_1B-SFT](https://huggingface.co/data/OpenELM-1_1B-SFT) on the HuggingFaceH4/ultrafeedback_binarized dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0009
- Rewards/chosen: -14.5625
- Rewards/rejected: -17.125
- Rewards/accuracies: 0.7188
- Rewards/margins: 2.6094
- Logps/rejected: -632.0
- Logps/chosen: -612.0
- Logits/rejected: -13.0
- Logits/chosen: -13.0

## 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: 8
- eval_batch_size: 16
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- total_train_batch_size: 32
- total_eval_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.7494        | 1.0   | 1911 | 0.7879          | -11.6875       | -12.8125         | 0.6797             | 1.1797          | -548.0         | -552.0       | -12.8125        | -12.5625      |
| 0.0999        | 2.0   | 3822 | 0.8019          | -14.125        | -15.9375         | 0.6992             | 1.8125          | -608.0         | -604.0       | -13.0625        | -13.0         |
| 0.011         | 3.0   | 5733 | 1.0009          | -14.5625       | -17.125          | 0.7188             | 2.6094          | -632.0         | -612.0       | -13.0           | -13.0         |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.3.0
- Datasets 2.21.0
- Tokenizers 0.19.1