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Duplicate from iamplus/Llama-2-13b-hf-ChatOrca

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+ ---
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+ license: mit
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+ datasets:
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+ - iamplus/LLama2-SFT-Data
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+ - iamplus/Open_Platypus_Orca
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+ - iamplus/Orca
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+ - iamplus/Conversational_Data
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+ ---
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+
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+
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+ **Description :**
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+
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+ This model is trained on a mix of Orca data and Open Source + Closed Multi-turn Conversation data to create a better reasoning model which is capable of holding multi-turn conversations as well.
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+
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+ The Dataset split description, Prompt description as well as Training Parameters are given below.
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+
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+ **Prompt Description :**
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+
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+ The prompt template for the first turn looks like this:
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+ ```
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+ <s>[INST] <<SYS>>
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+ {{ system_prompt }}
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+ <</SYS>>
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+
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+ {{ user_message }} [/INST]
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+ ```
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+
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+ The prompt template for the multi-turn conversation looks like this:
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+ ```
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+ <s>[INST] <<SYS>>
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+ {{ system_prompt }}
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+ <</SYS>>
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+
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+ {{ user_msg_1 }} [/INST] {{ model_answer_1 }} </s><s>[INST] {{ user_msg_2 }} [/INST]
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+ ```
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+
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+ This model follows the official Meta's chat model Prompt format. Please refer here : https://huggingface.co/blog/llama2#how-to-prompt-llama-2 on how to prompt the model for single/multi-turn conversations.
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+
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+ **Base model :** meta-llama/Llama-2-13b-hf
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+
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+ **Data :**
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+ 1. 1M Orca dara (Gpt-4 Orca data - OpenOrca)
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+ 2. 1.7M chat data (includes OpenAssistant Chat data, Ultrachat, and many more open source Chat Datasets)
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+ 3. 30k OpenPlatypus data
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+
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+ **Training Params :**
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+ ```
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+ Number of Epochs : 2
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+ Batch Size : 128
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+ Sequence Length : 4096
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+ Learning Rate : 2e-5 (Cosine)
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+ Weight Decay : 0.1
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+ Gradient Clipping : 1.0
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+ Gamma : 0.85
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+ beta_1 : 0.9
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+ beta_2 : 0.95
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+ eps : 1e-5
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+ Precision : bf16
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+ Optimizer : Any Precision AdamW Optimizer
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+ ```
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