---
license: apache-2.0
library_name: peft
tags:
- alignment-handbook
- generated_from_trainer
- trl
- dpo
- generated_from_trainer
datasets:
- sablo/HelpSteer_binarized
base_model: sablo/sablo-pebble-mistral
model-index:
- name: sablo-pebble-mistral-dpo-lora-HelpSteer_binarized
  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. -->

# sablo-pebble-mistral-dpo-lora-HelpSteer_binarized

This model is a fine-tuned version of [sablo/sablo-pebble-mistral](https://huggingface.co/sablo/sablo-pebble-mistral) on the sablo/HelpSteer_binarized dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5212
- Rewards/chosen: -2.5398
- Rewards/rejected: -3.5311
- Rewards/accuracies: 0.7406
- Rewards/margins: 0.9913
- Logps/rejected: -214.9349
- Logps/chosen: -206.5847
- Logits/rejected: -2.0624
- Logits/chosen: -2.1620

## 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-06
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.652         | 0.2   | 200  | 0.6595          | 0.0498         | -0.0320          | 0.6415             | 0.0818          | -98.2975       | -120.2629    | -2.0236         | -2.1231       |
| 0.4905        | 0.39  | 400  | 0.5551          | -1.6581        | -2.1527          | 0.6958             | 0.4946          | -168.9884      | -177.1946    | -2.0950         | -2.1951       |
| 0.4249        | 0.59  | 600  | 0.5327          | -3.4554        | -4.3247          | 0.7241             | 0.8693          | -241.3867      | -237.1045    | -2.0782         | -2.1773       |
| 0.5858        | 0.79  | 800  | 0.5207          | -2.5072        | -3.4512          | 0.7335             | 0.9440          | -212.2718      | -205.4982    | -2.0586         | -2.1591       |
| 0.6128        | 0.98  | 1000 | 0.5212          | -2.5398        | -3.5311          | 0.7406             | 0.9913          | -214.9349      | -206.5847    | -2.0624         | -2.1620       |


### Framework versions

- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.6
- Tokenizers 0.15.0