Multilingual Constitutional AI
Collection
Blog: https://sites.google.com/view/multilingual-constitutional-ai
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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
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Model tree for pbevan11/Mistral-Nemo-MCAI-SFT-DPO-revision-only
Base model
mistralai/Mistral-Nemo-Base-2407