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README.md
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---
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license: other
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library_name: peft
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tags:
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- llama2
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---
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# Model Card for PIPPA ShareGPT Subset Lora 7b
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It is an experimental Lora focused on Roleplay that uses a subset of (PIPPA ShareGPT)[https://huggingface.co/datasets/kingbri/PIPPA-shareGPT]
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## Usage
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ShareGPT(Vicuna 1.1)
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```
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A chat.
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USER: {prompt}
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ASSISTANT:
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```
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## Bias, Risks, and Limitations
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This Lora is not intended for supplying factual information or advice in any form
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[More Information Needed]
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## Training Details
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### Training Data
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1k of conversation from (PIPPA ShareGPT)[https://huggingface.co/datasets/kingbri/PIPPA-shareGPT]
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### Training Procedure
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The version of this Lora uploaded on this repository was trained using a 8x RTX A6000 cluster in 8-bit with regular LoRA adapters and 32-bit AdamW optimizer.
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#### Training Hyperparameters
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Training using a fork of axolot with two paths [Patch 1](https://github.com/bdashore3/axolotl/commit/995557bdf3c6c8b3e839b224ef9513fc2b097f30) [Patch 2](https://github.com/bdashore3/axolotl/commit/8970280de2ea01e41c044406051922715f4086cb)
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- lora_r: 16
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- lora_alpha: 16
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- lora_dropout: 0.01
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- gradient_accumulation_steps: 6
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- micro_batch_size: 4
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- num_epochs: 3
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- learning_rate: 0.000065
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## Model Examination [optional]
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<!-- Relevant interpretability work for the model goes here -->
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[More Information Needed]
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## Environmental Impact
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Finetuning this model on 8xNVIDIA A6000 48GB in parallel takes about 30 minutes (7B)
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