gemma-dpo

This model is a fine-tuned version of cognitivecomputations/dolphin-2.1-mistral-7b on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.6646
• Rewards/chosen: -9.3932
• Rewards/rejected: -13.4385
• Rewards/accuracies: 0.7852
• Rewards/margins: 4.0453
• Logps/rejected: -440.0019
• Logps/chosen: -450.6083
• Logits/rejected: -2.5347
• Logits/chosen: -2.6367

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-05
• train_batch_size: 12
• eval_batch_size: 4
• seed: 42
• 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

Training Loss	Epoch	Step	Validation Loss	Rewards/chosen	Rewards/rejected	Rewards/accuracies	Rewards/margins	Logps/rejected	Logps/chosen	Logits/rejected	Logits/chosen
0.7403	0.76	700	0.6646	-9.3932	-13.4385	0.7852	4.0453	-440.0019	-450.6083	-2.5347	-2.6367

Framework versions

• PEFT 0.9.0
• Transformers 4.38.2
• Pytorch 2.2.1+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2