mistral-7b-instruct-v0.2-dpo-multilingual-mix-1st-apr-final
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the nthakur/multilingual-truthy-v0.1-dpo-pairs, the nthakur/multilingual-orca-dpo-pairs and the nthakur/multilingual-mistral-neg-orca-dpo-pairs datasets. It achieves the following results on the evaluation set:
- Loss: 0.0524
- Rewards/chosen: -0.1806
- Rewards/rejected: -11.0616
- Rewards/accuracies: 0.9918
- Rewards/margins: 10.8811
- Logps/rejected: -1280.7075
- Logps/chosen: -363.8373
- Logits/rejected: -0.2239
- Logits/chosen: -0.5036
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: 16
- eval_batch_size: 16
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- 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
Framework versions
- PEFT 0.7.1
- Transformers 4.39.0.dev0
- Pytorch 2.2.2
- Datasets 2.14.6
- Tokenizers 0.15.2
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Model tree for nthakur/mistral-7b-instruct-v0.2-dpo-multilingual-mix-1st-apr-final
Base model
mistralai/Mistral-7B-Instruct-v0.2