doplhin-dpo-1-epoch

This model is a fine-tuned version of cognitivecomputations/dolphin-2.1-mistral-7b on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.6046
• Rewards/chosen: -6.6173
• Rewards/rejected: -10.5237
• Rewards/accuracies: 0.7880
• Rewards/margins: 3.9064
• Logps/rejected: -431.3049
• Logps/chosen: -422.0936
• Logits/rejected: -2.5993
• Logits/chosen: -2.6739

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: 2
• eval_batch_size: 2
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 8
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 0.9

Training results

Training Loss	Epoch	Step	Validation Loss	Rewards/chosen	Rewards/rejected	Rewards/accuracies	Rewards/margins	Logps/rejected	Logps/chosen	Logits/rejected	Logits/chosen
0.5544	0.62	700	0.6046	-6.6173	-10.5237	0.7880	3.9064	-431.3049	-422.0936	-2.5993	-2.6739

Framework versions

• PEFT 0.8.2
• Transformers 4.37.2
• Pytorch 2.1.0+cu118
• Datasets 2.16.1
• Tokenizers 0.15.2