recent checkpoint

app.py

@@ -68,7 +68,7 @@ config, base_model, tokenizer = build_or_load_gen_model(args)
 print("Base model architecture and tokenizer loaded.")
 
 # Download the fine-tuned weights via ClearML using your injected creds
-task = Task.get_task(task_id="9cc33fb4d1d54378b691188c5e230253")
+task = Task.get_task(task_id="2d65a9e213ea49a9b37e1cc89a2b7ff0")
 finetuned_weights_path = task.artifacts["lora-pytorch-bin"].get_local_copy()
 print(f"Fine-tuned adapter weights downloaded to directory: {os.path.dirname(finetuned_weights_path)}")