---
library_name: transformers
license: apache-2.0
base_model: pbevan11/Mistral-Nemo-Instruct-MCAI-SFT-revision-only
tags:
- alignment-handbook
- trl
- dpo
- generated_from_trainer
- trl
- dpo
- generated_from_trainer
datasets:
- pbevan11/multilingual-constitutional-preference-pairs-revision-only
- pbevan11/ultrafeedback_binarized_multilingual
model-index:
- name: Mistral-Nemo-Instruct-MCAI-SFT-DPO-revision-only
  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. -->

# Mistral-Nemo-Instruct-MCAI-SFT-DPO-revision-only

This model is a fine-tuned version of [pbevan11/Mistral-Nemo-Instruct-MCAI-SFT-revision-only](https://huggingface.co/pbevan11/Mistral-Nemo-Instruct-MCAI-SFT-revision-only) on the pbevan11/multilingual-constitutional-preference-pairs-revision-only and the pbevan11/ultrafeedback_binarized_multilingual datasets.
It achieves the following results on the evaluation set:
- Loss: 0.5140
- Rewards/chosen: -0.6440
- Rewards/rejected: -1.3117
- Rewards/accuracies: 0.6824
- Rewards/margins: 0.6678
- Logps/rejected: -215.4680
- Logps/chosen: -196.1248
- Logits/rejected: -0.0511
- Logits/chosen: -0.0322

## 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: 6
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 48
- total_eval_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1

### Training results



### Framework versions

- Transformers 4.45.1
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.0