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: 15.0898
• Rewards/chosen: -39.8716
• Rewards/rejected: -3.6932
• Rewards/accuracies: 0.1875
• Rewards/margins: -36.1783
• Logps/rejected: -252.6567
• Logps/chosen: -699.3276
• Logits/rejected: -1.1624
• Logits/chosen: -1.4009

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
0.6897	0.01	10	0.6981	-0.0237	-0.0260	0.4375	0.0023	-215.9846	-300.8488	-1.8495	-2.0704
0.685	0.01	20	0.6805	-0.0489	-0.0934	0.5	0.0446	-216.6584	-301.1003	-1.8466	-2.0623
0.7153	0.01	30	0.6583	0.0084	-0.1588	0.5	0.1672	-217.3122	-300.5275	-1.8462	-2.0615
0.7148	0.02	40	14.5562	-38.4731	-3.6173	0.25	-34.8558	-251.8970	-685.3425	-1.1606	-1.4120
0.8198	0.03	50	15.0898	-39.8716	-3.6932	0.1875	-36.1783	-252.6567	-699.3276	-1.1624	-1.4009

Framework versions

• Transformers 4.35.2
• Pytorch 2.0.1+cu117
• Datasets 2.15.0
• Tokenizers 0.15.0