---
license: other
base_model: stabilityai/stablelm-2-1_6b
tags:
- alignment-handbook
- trl
- orpo
- generated_from_trainer
- trl
- orpo
- generated_from_trainer
datasets:
- alvarobartt/dpo-mix-7k-simplified
model-index:
- name: stablelm-2-1_6b-orpo-full-v1
  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. -->

# stablelm-2-1_6b-orpo-full-v1

This model is a fine-tuned version of [stabilityai/stablelm-2-1_6b](https://huggingface.co/stabilityai/stablelm-2-1_6b) on the alvarobartt/dpo-mix-7k-simplified dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3790
- Rewards/chosen: -0.1279
- Rewards/rejected: -0.1387
- Rewards/accuracies: 0.5625
- Rewards/margins: 0.0114
- Logps/rejected: -1.3906
- Logps/chosen: -1.2734
- Logits/rejected: -2.4688
- Logits/chosen: -2.4844
- Nll Loss: 1.3359
- Log Odds Ratio: -0.6799
- Log Odds Chosen: 0.1751

## 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
- distributed_type: multi-GPU
- num_devices: 3
- gradient_accumulation_steps: 2
- total_train_batch_size: 48
- total_eval_batch_size: 24
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen | Nll Loss | Log Odds Ratio | Log Odds Chosen |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|:--------:|:--------------:|:---------------:|
| 1.4572        | 0.71  | 100  | 1.4374          | -0.1406        | -0.1514          | 0.5469             | 0.0109          | -1.5078        | -1.4062      | -2.3594         | -2.375        | 1.3906   | -0.6874        | 0.1528          |
| 1.3846        | 1.42  | 200  | 1.3829          | -0.1279        | -0.1396          | 0.5625             | 0.0115          | -1.3984        | -1.2812      | -2.4688         | -2.4844       | 1.3359   | -0.6793        | 0.1746          |


### Framework versions

- Transformers 4.39.0.dev0
- Pytorch 2.2.1
- Datasets 2.18.0
- Tokenizers 0.15.2