Update README.md

README.md

@@ -4,7 +4,7 @@ base_model: teknium/OpenHermes-2.5-Mistral-7B
 tags:
 - generated_from_trainer
 model-index:
-- name: lora-outB
+- name: Eileithyia-7B
   results: []
 ---
 
@@ -12,7 +12,6 @@ model-index:
 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)
-# lora-outB
 
 This model is a fine-tuned version of [teknium/OpenHermes-2.5-Mistral-7B](https://huggingface.co/teknium/OpenHermes-2.5-Mistral-7B) on the None dataset.
 It achieves the following results on the evaluation set:
@@ -20,17 +19,18 @@ It achieves the following results on the evaluation set:
 
 ## Model description
 
-More information needed
+Eileithyia-7B is an unaligned, roleplay oriented model created by merging teknium/OpenHermes-2.5-Mistral-7B with a bespoke LORA trained directly on OpenHermes.
 
-## Intended uses & limitations
-
-More information needed
+Eileithyia, as is the current trend, is named after a Greek goddess; in this case it is the goddess of childbirth and pregnancy.
 
 ## Training and evaluation data
 
-More information needed
+The private ~400k token dataset used to train the LORA was Alpaca formatted and focused on 4 primary categories:
 
-## Training procedure
+    - Medical texts (on pregnancy, reproductive organs, and impregnation). These are formatted so the model, in character as a doctor, answers a patient's question in short to medium form.
+    - Excerpts from short stories and novellas (erotic, romantic, and platonic) centered around both realistic and fantastic pregnancy. These are sliced into ~2048 token chunks, and these long-form responses are all tied to the command “Enter narrator mode.” in the instructions.
+    - A selection from PIPPA, using a wide keyword search for related terms then human curated (...the things I’ve seen…). These are converted to Alpaca with “Enter RP mode.” in all the instruction fields.
+    - ~60k tokens of GPT-4 generated data on pregnancy from various characters’ perspectives, focusing on different responses and stages. Also includes a synopsis for each week in various styles.
 
 ### Training hyperparameters