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voxmenthe/
openhermes-mistral-dpo-gptq

Name: openhermes-mistral-dpo-gptq
Availability: InStock

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openhermes-mistral-dpo-gptq

This model is a fine-tuned version of teknium/OpenHermes-2.5-Mistral-7B on the None dataset. It achieves the following results on the evaluation set:

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The following hyperparameters were used during training:

Training Loss	Epoch	Step	Validation Loss	Rewards/chosen	Rewards/rejected	Rewards/accuracies	Rewards/margins	Logps/rejected	Logps/chosen	Logits/rejected	Logits/chosen
0.701	0.01	10	0.6011	0.2373	0.0723	0.375	0.1650	-234.3308	-198.9786	-3.1345	-3.1669
0.6827	0.01	20	0.5701	0.3490	-0.0051	0.6875	0.3541	-235.1054	-197.8619	-3.1513	-3.1894
0.7041	0.01	30	0.5571	0.3683	-0.0432	0.6875	0.4115	-235.4866	-197.6691	-3.1811	-3.2466
0.7273	0.02	40	0.5295	0.4324	-0.0346	0.6875	0.4671	-235.4007	-197.0275	-3.1709	-3.2343
0.6139	0.03	50	0.5200	0.4462	-0.0495	0.6875	0.4958	-235.5496	-196.8896	-3.1546	-3.2002