Update README.md

README.md

@@ -21,18 +21,49 @@ This model is a fine-tuned version of [unsloth/llama-3-8b-Instruct-bnb-4bit](htt
 
 ## Model description
 
-More information needed
+The notebook is structured to guide the user through the fine-tuning process with the following components:
 
-## Intended uses & limitations
+1. **Setup and Configuration**: 
+   - Imports necessary libraries and sets up the environment.
+   - Configures GPU settings and initializes the Jupyter Widgets.
 
-More information needed
+2. **Data Preparation**:
+   - Loads and preprocesses the dataset.
+   - Splits the data into training and validation sets.
 
-## Training and evaluation data
+3. **Model Initialization**:
+   - Loads the pre-trained model.
+   - Configures the model for fine-tuning.
 
-More information needed
+4. **Training Loop**:
+   - Implements the training loop with real-time progress updates.
+   - Displays training metrics and updates the progress bar widget.
+
+## How to use
+
+1. **Install Required Libraries**
+
+```python
+import torch
+from transformers import AutoModelForCausalLM, AutoTokenizer
+from unsloth import FastLanguageModel
+from unsloth.chat_templates import get_chat_template
+from peft import PeftModel, PeftConfig
+```
+
+
+2. **Load the Model and Tokenizer**
+
+3. **Prepare Inputs**
+
+4. **Run Inference**
+
+5. 
 
 ## Training procedure
 
+
+
 ### Training hyperparameters
 
 The following hyperparameters were used during training: