---
license: other
library_name: peft
tags:
- trl
- dpo
- generated_from_trainer
base_model: apple/OpenELM-450M
model-index:
- name: OpenELM-450M_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. -->

# OpenELM-450M_lora

This model is a fine-tuned version of [apple/OpenELM-450M](https://huggingface.co/apple/OpenELM-450M) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6940
- Rewards/chosen: 0.0062
- Rewards/rejected: 0.0064
- Rewards/accuracies: 0.4748
- Rewards/margins: -0.0002
- Logps/rejected: -567.8893
- Logps/chosen: -579.9698
- Logits/rejected: -11.8584
- Logits/chosen: -12.0367

## 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-07
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_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: 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6943        | 0.8975 | 300  | 0.6940          | 0.0062         | 0.0064           | 0.4748             | -0.0002         | -567.8893      | -579.9698    | -11.8584        | -12.0367      |


### Framework versions

- PEFT 0.11.0
- Transformers 4.40.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1