List Active Jobs

Prerequisites

Before you can list active customization jobs, make sure that you have:

• Obtained the base URL of your NeMo Customizer service.

---

List Active Customization Jobs

API

1. Perform a GET request to the /v1/customization/jobs endpoint.

   cURL

   BASE_MODEL="meta/llama-3.1-8b-instruct"
   FINETUNING_TYPE="lora"
   TRAINING_TYPE="sft"
   BATCH_SIZE="8"
   EPOCHS="3"
   LOG_EVERY_N_STEPS="1"
   DATASET="string"
   STATUS="created"
   
   curl --get \
     "https://${CUSTOMIZER_HOSTNAME}/v1/customization/jobs" \
     --data-urlencode "page=1" \
     --data-urlencode "filter[finetuning_type]=${FINETUNING_TYPE}" \
     --data-urlencode "filter[training_type]=${TRAINING_TYPE}" \
     --data-urlencode "filter[batch_size]=${BATCH_SIZE}" \
     --data-urlencode "filter[epochs]=${EPOCHS}" \
     --data-urlencode "filter[log_every_n_steps]=${LOG_EVERY_N_STEPS}" \
     --data-urlencode "filter[dataset]=${DATASET}" \
     --data-urlencode "filter[status]=${STATUS}" \
     -H 'accept: application/json' \
     -H 'Content-Type: application/json' \
     | jq
   

2. Review the returned customization jobs.

   Example Response

   {
     "object": "list",
     "data": [
       {
         "id": "cust-JGTaMbJMdqjJU8WbQdN9Q2",
         "created_at": "2025-02-10T16:45:51.775Z",
         "updated_at": "2025-02-10T16:45:51.775Z",
         "namespace": "default",
         "description": "Fine-tuning llama model for code generation",
         "config": "meta/llama-3.1-8b-instruct",
         "dataset": "default/code-generation-dataset",
         "hyperparameters": {
           "finetuning_type": "lora",
           "training_type": "sft",
           "batch_size": 8,
           "epochs": 50,
           "learning_rate": 0.0001,
           "lora": {
             "adapter_dim": 8,
             "adapter_dropout": 1
           }
         },
         "output_model": "code-gen-llama-v1",
         "status": "running",
         "project": "code-generation-project",
         "custom_fields": {
           "team": "nlp-research",
           "priority": "high",
           "use_case": "code-generation"
         },
         "ownership": {
           "created_by": "john.doe@example.com",
           "access_policies": {
             "team": "nlp-research",
             "read": ["nlp-research", "ml-ops"],
             "write": ["nlp-research"]
           }
         }
       }
     ],
     "pagination": {
       "page": 1,
       "page_size": 10,
       "current_page_size": 1,
       "total_pages": 1,
       "total_results": 1
     },
     "sort": "created_at:desc",
     "filter": {
       "base_model": "meta/llama-3_1-8b-instruct",
       "finetuning_type": "lora",
       "training_type": "sft",
       "batch_size": 8,
       "epochs": 50,
       "log_every_n_steps": 100,
       "dataset": "default/code-generation-dataset",
       "status": "running"
     }
   }