--- license: apache-2.0 tags: - generated_from_trainer base_model: teknium/OpenHermes-2.5-Mistral-7B model-index: - name: qlora-out results: [] --- [

](https://github.com/OpenAccess-AI-Collective/axolotl) # DPOpenHermes ## OpenHermes x NoRobots x Neural This model is a RL fine-tuned version of [teknium/OpenHermes-2.5-Mistral-7B](https://huggingface.co/teknium/OpenHermes-2.5-Mistral-7B) on the Intel/orca_dpo_pairs and winglian/no_robots_rlhf datasets. ## 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: 2e-05 - train_batch_size: 4 - eval_batch_size: 8 - seed: 42 - gradient_accumulation_steps: 4 - total_train_batch_size: 16 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - lr_scheduler_warmup_steps: 20 - training_steps: 1348 ### Training results ### Framework versions - Transformers 4.35.2 - Pytorch 2.0.1+cu118 - Datasets 2.15.0 - Tokenizers 0.15.0 # [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_openaccess-ai-collective__dpopenhermes-alpha-v0) | Metric |Value| |---------------------------------|----:| |Avg. |66.52| |AI2 Reasoning Challenge (25-Shot)|65.02| |HellaSwag (10-Shot) |83.96| |MMLU (5-Shot) |63.67| |TruthfulQA (0-shot) |51.75| |Winogrande (5-shot) |78.85| |GSM8k (5-shot) |55.88|