Update README.md

README.md

@@ -1,37 +1,54 @@
 ---
 base_model: microsoft/Phi-3-mini-4k-instruct
-library_name: peft
+library_name: transformers
+license: apache-2.0
+language:
+- en
+tags:
+- Finetuning
+- PEFT
+- NLP
+- LLM
+- text-generation-inference
+- transformers
+- QLoRA
+- LoRA
 ---
 
 # Model Card for Model ID
 
-<!-- Provide a quick summary of what the model is/does. -->
-
+This is a finetuned model trained on agricultural datasets for crop disease remedies.
 
 
 ## Model Details
-
+phi3-finetuned-20250414-0740 can be used for crop disease remedies.
+Peft ,QLoRA ,LoRA ,
+transformers are used and supervised finetuning is done for training this model.
+LoRA_dropout was taken 0.1, Lora_r=16. 
+This model was trained on Google Colab free tier giving T4 GPU of 15 GB vRAM and can be used for 12 hours.
 ### Model Description
 
-<!-- Provide a longer summary of what this model is. -->
-
+Finetuned Agricultural Chatbot (Phi-3-mini-4k-instruct)
+fine-tuned Microsoft’s Phi-3-mini-4k-instruct, a compact yet powerful instruction-tuned LLM (~3.8B parameters),
+specifically for agriculture-related tasks using curated domain-specific datasets.
+Built on top of Microsoft’s Phi-3-mini-4k-instruct, a lightweight but capable open-source language model,
+this chatbot has been carefully trained using thousands of real-world examples from the agricultural domain.
+From crop disease symptoms and soil health tips to pesticide usage and sustainable farming practices,
+it has absorbed knowledge from curated, high-quality datasets.
 
 
-- **Developed by:** [More Information Needed]
-- **Funded by [optional]:** [More Information Needed]
-- **Shared by [optional]:** [More Information Needed]
-- **Model type:** [More Information Needed]
-- **Language(s) (NLP):** [More Information Needed]
-- **License:** [More Information Needed]
-- **Finetuned from model [optional]:** [More Information Needed]
+- **Developed by:** Satyam Kahali (reach me out on LinkedIN "https://www.linkedin.com/in/satyam-kahali-883098235/")
+- **Model type:** Causal Language Model (CausalLM)
+- **Language(s) (NLP):** Python
+- **License:** apache-2.0
+- **Finetuned from model :** microsoft/Phi-3-mini-4k-instruct
 
-### Model Sources [optional]
+### Model Sources 
 
 <!-- Provide the basic links for the model. -->
 
-- **Repository:** [More Information Needed]
-- **Paper [optional]:** [More Information Needed]
-- **Demo [optional]:** [More Information Needed]
+- **Repository:** Satyam66/phi3-finetuned-20250414-0740
+
 
 ## Uses
 
@@ -93,7 +110,12 @@ Use the code below to get started with the model.
 #### Training Hyperparameters
 
 - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
-
+  lora_alpha: 32,
+  lora_bias: false,
+  lora_dropout: 0.05,
+  r: 16,
+  fp16 = True  
+  bf16 = False 
 #### Speeds, Sizes, Times [optional]
 
 <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->