Update Astra Project Setup Instructions.md

Astra Project Setup Instructions.md

@@ -112,5 +112,38 @@ python new_test_saved_finetuned_model.py \
     -b 1000
 ```
 Replace `<finetune_task>` with the actual fine-tuning task value.
+### Arguments
 
-Your Astra project should now be fully set up and ready to use!
+**`-workspace_name`**  
+- Description: The folder/workspace name where the project, dataset, and model outputs are organized.  
+- Example: `"ratio_proportion_change3_2223/sch_largest_100-coded"`
+
+**`-finetune_task`**  
+- Description: Specifies which fine-tuning strategy was applied to the model.  
+- Options:  
+  - **ASTRA-FT-HGR** → Fine-tuned with 10% data from schools that have a **High Graduation Rate (HGR)**.  
+  - **ASTRA-FT-Skills** → Fine-tuned with 10% of initial problems from both **HGR + LGR schools**, with **Prior Skills encoded** using **Bayesian Knowledge Tracing (BKT)**.  
+  - **ASTRA-FT-Temporal** → Fine-tuned with 10% of initial problems from both **HGR + LGR schools**, with **temporal features** measuring student engagement in MATHia.  
+  - **ASTRA-FT-Unified** → Fine-tuned with 10% of initial problems from both **HGR + LGR schools**, combining **Prior Skills (BKT) + temporal features**.  
+
+**`-test_dataset_path`**  
+- Description: Path to the test dataset file that you want to use for evaluation.  
+- Example: `"../../../../fileHandler/selected_rows.txt"`
+
+**`-finetuned_bert_classifier_checkpoint`**  
+- Description: The path to the saved fine-tuned BERT model checkpoint (specific `.model.epXX` file).  
+- Example:  
+  `"ratio_proportion_change3_2223/sch_largest_100-coded/output/highGRschool10/bert_fine_tuned.model.ep42"`  
+- Note: `ep42` means the checkpoint from **epoch 42** during training.  
+
+**`-e`**  
+- Description: Number of epochs to run during testing (or evaluation).  
+- Example: `-e 1` → run evaluation once.  
+
+**`-b`**  
+- Description: Batch size for testing — determines how many test samples are processed together in each forward pass.  
+- Example: `-b 1000` → each batch will contain **1000 examples**.  
+
+---
+
+✅ Your Astra project should now be fully set up and ready to use!