Update README.md

README.md

@@ -8,7 +8,14 @@ tags:
 - unsloth
 - gemma
 - trl
+- agriculture
+- farming
+- climate
+- biology
+- agritech
 base_model: unsloth/gemma-2b-it-bnb-4bit
+datasets:
+  - CopyleftCultivars/Natural-Farming-Real-QandA-Conversations-Q1-2024-Update
 ---
 
 # Uploaded  model
@@ -17,6 +24,10 @@ base_model: unsloth/gemma-2b-it-bnb-4bit
 - **License:** apache-2.0
 - **Finetuned from model :** unsloth/gemma-2b-it-bnb-4bit
 
-This gemma model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
+Background: Using real-world user data from a previous farmer assistant chatbot service and additional curated datasets (prioritizing sustainable regenerative organic farming practices,) Gemma 2B and Mistral 7B LLMs were iteratively fine-tuned and tested against eachother as well as basic benchmarking, whereby the Gemma 2B fine-tune emerged victorious. LORA adapters were saved for each model. Following this, the Gemma version was released.
+
+Updates for this model: We then revisited the data, adding four additional months of real-world in-field data from hundreds of users which was then editted by a domain expert in regenerative farming and natural farming (approximately 2,000 instruct examples.) This was combined with a small portion of synthetic datasets and semisynthetic datasets related to regenerative agriculture and natural farming, including some non-english language samples
+
+This gemma model was trained with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
 
 [<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)