Update README.md

README.md

@@ -3,32 +3,44 @@ license: apache-2.0
 base_model: mistralai/Mistral-7B-v0.1
 tags:
 - generated_from_trainer
+- not-for-all-audiences
 model-index:
 - name: pippa-lora
   results: []
+datasets:
+- PygmalionAI/PIPPA
 ---
 
-<!-- This model card has been generated automatically according to the information the Trainer had access to. You
-should probably proofread and complete it, then remove this comment. -->
-
 [<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
-# pippa-lora
+# mistral-v0.1-7b-pippa-metharme-lora
 
-This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the None dataset.
+This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the PIPPA dataset.
 It achieves the following results on the evaluation set:
 - Loss: 1.3494
 
 ## Model description
 
-More information needed
+8-bit lora trained on the [PygmalionAI/PIPPA](https://huggingface.co/datasets/PygmalionAI/PIPPA) dataset using axolotl.
 
 ## Intended uses & limitations
 
-More information needed
+PIPPA consists of just a little more than 1 million lines of dialogue spread out over 26,000 conversations between users of the popular chatbot website "Character.AI" and its large language model, obtained through a large community effort taking place over the course of several months. Tallying shows that over 1,000 unique personas simulating both real and fictional characters are represented within the dataset, allowing PIPPA and LLMs fine-tuned on it to adapt to many different roleplay domains.
+
+⚠️ CAUTION: PIPPA contains conversations, themes and scenarios which can be considered "not safe for work" (NSFW) and/or heavily disturbing in nature. Models trained purely with PIPPA may have the tendency to generate X-rated output. You have been warned.
 
 ## Training and evaluation data
 
-More information needed
+[PygmalionAI/PIPPA](https://huggingface.co/datasets/PygmalionAI/PIPPA)
+```
+@misc{gosling2023pippa,
+      title={PIPPA: A Partially Synthetic Conversational Dataset}, 
+      author={Tear Gosling and Alpin Dale and Yinhe Zheng},
+      year={2023},
+      eprint={2308.05884},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL}
+}
+```
 
 ## Training procedure
 
@@ -109,4 +121,4 @@ The following hyperparameters were used during training:
 - Transformers 4.34.0.dev0
 - Pytorch 2.0.1+cu118
 - Datasets 2.14.5
-- Tokenizers 0.14.0
+- Tokenizers 0.14.0