This model is a fine-tuned version of pbevan11/Mistral-Nemo-Instruct-MCAI-SFT-3Epochs on the pbevan11/multilingual-constitutional-preference-pairs and the pbevan11/ultrafeedback_binarized_multilingual datasets. It achieves the following results on the evaluation set:

Loss: 0.5579
Rewards/chosen: -0.4264
Rewards/rejected: -0.9042
Rewards/accuracies: 0.7466
Rewards/margins: 0.4777
Logps/rejected: -213.7833
Logps/chosen: -192.1762
Logits/rejected: 0.5653
Logits/chosen: 0.5394

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

pbevan11/Mistral-Nemo-MCAI-SFT-DPO

Mistral-Nemo-Instruct-MCAI-SFT-DPO-3Epochs

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

pbevan11/
Mistral-Nemo-MCAI-SFT-DPO