Update README.md

README.md

@@ -14,8 +14,9 @@ pipeline_tag: text-generation
 base_model: TinyLlama/TinyLlama-1.1B-intermediate-step-715k-1.5T
 ---
 ![image/png](https://cdn-uploads.huggingface.co/production/uploads/65ca8c3c5495933ab066c33c/4iYoUWbwZVIld2K3red-T.png)
-We, XeTute, introduce AURORA V1.0 - the first model in this series which is actually useable.
-Its usecases are following:
+We, XeTute, introduce AURORA V1.0 - a humerous, efficient, smart(for its size) and unbiased(because of too low parameters =)) Language Model.
+
+**Intended usecases:**
 - Next-Word prediction for mobile devices: 
 - - This Model can be reliably packaged into a keyboard-app to help make Next-Word suggestions more accurate (for performance, INT4 or less might be smart)
 - Conversations:
@@ -23,21 +24,21 @@ Its usecases are following:
 - - AURORA can engage in SFW roleplay with simple character definitions. It wasn't trained on NSFW.
 - - AURORA can engage in simple, short Q&A. It was trained on factual data too, which means it performs well for its size.
 
-We used datasets created by our team, and translated it to different languaged patially using HuggingFaceH4/zephyr-7b-beta, mostly using humans we hired from different free-lancing services.
+**Training:**
+- Trained for two months.
+- Dataset created by XeTute, and translated using different free-lancing services.
+- Dataset included:
+- - Mathematic Q&A
+- - Logic Q&A
+- - One-Page stories and roleplays with very brief character definitions
+- ADAM as an optimizer.
+Alltogether, the model was trained on additional 20B tokens.
 
 <a href='https://ko-fi.com/C0C2ZXNON' target='_blank'><img height='36' style='border:0px;height:36px;' src='https://storage.ko-fi.com/cdn/kofi3.png?v=3' border='0' alt='Buy Me a Coffee at ko-fi.com' /></a>
-
 Note:
 - All previous beta versions of this series of SLMs were deleted, because almost no downloads were made.
 - V1.0 is the last model in this series which will be published, because of too little community activity.
 
-Metadata:
-- Name: AURORA
-- Version: 1.0
-- Author: XeTute
-- Size: 1.1B
-- Architecture: LaMA, Transformer.
-
 Recommended settings:
 - Temperature 0.1 - 0,4 is stable.
 - Context Length of 2048(base) to 4096(RoPE) will work well for story-telling, role-playing and simple conversations.