Update README.md

README.md

@@ -24,6 +24,30 @@ You can plug it into your calling or voice AI stack to automatically extract:
 
 It’s built to handle real-world Hindi, English, and mixed Hinglish calls, including noisy transcripts.
 
+Training Parameters:
+```
+rank = 64
+lora_alpha = rank*2,
+target_modules = ["q_proj", "k_proj", "v_proj", "o_proj",
+                      "gate_proj", "up_proj", "down_proj",],
+SFTConfig(
+        dataset_text_field = "prompt",
+        per_device_train_batch_size = 32,
+        gradient_accumulation_steps = 1, # Use GA to mimic batch size!
+        warmup_steps = 5,
+        num_train_epochs = 3,
+        learning_rate = 2e-4,
+        logging_steps = 50,
+        optim = "adamw_8bit",
+        weight_decay = 0.001,
+        lr_scheduler_type = "linear",
+        seed = SEED,
+        report_to = "wandb",
+        eval_strategy="steps",
+        eval_steps=200,
+    )
+The model was finetuned on ~100,000 curated transcripts across different domanins and language preferences
+```
 
 - **Developed by:** RinggAI
 - **License:** apache-2.0