--- license: llama2 datasets: - psmathur/orca_mini_v1_dataset language: - en - id --- # 🦚Merak-7B-v3-Mini-Orca🐳 **Merak-7B-v3-Mini-Orca** is Ichsan2895's [Merak-7B-v3](https://huggingface.co/Ichsan2895/Merak-7B-v3) fine-tuned on psmathur's [orca_mini_v1_dataset](https://huggingface.co/datasets/psmathur/orca_mini_v1_dataset). Dataset was machine translated into Bahasa Indonesia with Google Translate. [Built with Axolotl](https://github.com/OpenAccess-AI-Collective/axolotl) #### Training details Merak-7B-v3-Mini-Orca was instruction fine-tuned on 2 x 3090-24GB for 6 hours. [LoRA](https://github.com/microsoft/LoRA), [DeepSpeed ZeRO-2](https://github.com/microsoft/DeepSpeed), and [FlashAttention](https://github.com/Dao-AILab/flash-attention) were implemented during training using [Axolotl](https://github.com/OpenAccess-AI-Collective/axolotl). Hyperparameter | value | | ------ | ------ | learning rate | 0.0004 | batch size | 16 | microbatch size | 2 | warmup step | 100 | epochs | 2 | weight decay | 0.0 | lr scheduler | cosine | lora alpha | 16 | lora rank | 16 | lora dropout | 0.05 | lora target modules | q_proj, v_proj, k_proj, o_proj | cutoff length | 4096 | #### Training loss Step |Train Loss | ------ | ------ | 1 |0.9578 100 |0.816 200 |0.7819 300 |0.7279 400 |0.732 500 |0.7139 600 |0.6829 700 |0.6641 800 |0.6553 #### Limitations and bias Llama 2 and fine-tuned variants are a new technology that carries risks with use. Testing conducted to date has been in English, and has not covered, nor could it cover all scenarios. For these reasons, as with all LLMs, Llama 2 and any fine-tuned varient's potential outputs cannot be predicted in advance, and the model may in some instances produce inaccurate, biased or other objectionable responses to user prompts. Therefore, before deploying any applications of Llama 2 variants, developers should perform safety testing and tuning tailored to their specific applications of the model. Please see the Responsible Use Guide available at https://ai.meta.com/llama/responsible-use-guide/