instruction finetune README improvement (opea-project#897)

Signed-off-by: rbrugaro <[email protected]>

InstructionTuning/README.md

@@ -1,6 +1,6 @@
 # Instruction Tuning
 
-Instruction tuning is the process of further training LLMs on a dataset consisting of (instruction, output) pairs in a supervised fashion, which bridges the gap between the next-word prediction objective of LLMs and the users' objective of having LLMs adhere to human instructions.
+Instruction tuning is the process of further training LLMs on a dataset consisting of (instruction, output) pairs in a supervised fashion, which bridges the gap between the next-word prediction objective of LLMs and the users' objective of having LLMs adhere to human instructions. This implementation deploys a Ray cluster for the task.
 
 ## Deploy Instruction Tuning Service
 
@@ -38,6 +38,8 @@ curl http://${your_ip}:8015/v1/fine_tuning/jobs \
   }'
 ```
 
+The outputs of the finetune job (adapter_model.safetensors, adapter_config,json... ) are stored in `/home/user/comps/finetuning/output` and other execution logs are stored in `/home/user/ray_results`
+
 ### 3. Manage fine-tuning job
 
 Below commands show how to list finetuning jobs, retrieve a finetuning job, cancel a finetuning job and list checkpoints of a finetuning job.