This model is a fine-tuned version of [Weni/WeniGPT-2.2.3-Zephyr-7B-merged-LLM_Base_2.0.3_SFT] on the dataset HuggingFaceH4/ultrafeedback_binarized with the DPO trainer. It is part of the WeniGPT project for Weni.
It achieves the following results on the evaluation set:
{'eval_loss': 1.4246530532836914, 'eval_runtime': 87.1748, 'eval_samples_per_second': 2.294, 'eval_steps_per_second': 0.574, 'eval_rewards/chosen': 7.902245998382568, 'eval_rewards/rejected': -1.2779319286346436, 'eval_rewards/accuracies': 0.6299999952316284, 'eval_rewards/margins': 9.18017864227295, 'eval_logps/rejected': -333.343017578125, 'eval_logps/chosen': -329.1789855957031, 'eval_logits/rejected': -2.569888114929199, 'eval_logits/chosen': -2.604318141937256, 'epoch': 1.0}
Intended uses & limitations
This model has not been trained to avoid specific intructions.
Training procedure
Finetuning was done on the model Weni/WeniGPT-2.2.3-Zephyr-7B-merged-LLM_Base_2.0.3_SFT with the following prompt:
