metadata

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: []

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

This model is a fine-tuned version of 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