openhermes-mistral-dpo-gptq

This model is a fine-tuned version of TheBloke/OpenHermes-2-Mistral-7B-GPTQ on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.6104
• Rewards/chosen: -0.0458
• Rewards/rejected: -0.4535
• Rewards/accuracies: 0.6875
• Rewards/margins: 0.4077
• Logps/rejected: -390.3771
• Logps/chosen: -149.5892
• Logits/rejected: -1.3692
• Logits/chosen: -1.4352

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: 0.0002
• train_batch_size: 1
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 2
• training_steps: 50
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rewards/chosen	Rewards/rejected	Rewards/accuracies	Rewards/margins	Logps/rejected	Logps/chosen	Logits/rejected	Logits/chosen
0.6865	0.01	10	0.6792	-0.0093	-0.0078	0.6875	-0.0015	-385.9200	-149.2238	-1.3698	-1.4189
0.6882	0.01	20	0.6660	-0.0137	-0.0526	0.625	0.0389	-386.3681	-149.2680	-1.3729	-1.4240
0.6391	0.01	30	0.6446	0.0000	-0.1131	0.625	0.1131	-386.9731	-149.1310	-1.3737	-1.4292
0.639	0.02	40	0.6271	-0.0337	-0.2758	0.6875	0.2421	-388.6000	-149.4686	-1.3729	-1.4342
0.6533	0.03	50	0.6104	-0.0458	-0.4535	0.6875	0.4077	-390.3771	-149.5892	-1.3692	-1.4352

Framework versions

• Transformers 4.35.2
• Pytorch 2.0.1+cu117
• Datasets 2.16.1
• Tokenizers 0.15.0