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.hydra/config.yaml

@@ -2,7 +2,7 @@ backend:
   name: pytorch
   version: 2.4.0
   _target_: optimum_benchmark.backends.pytorch.backend.PyTorchBackend
-  task: text-generation
+  task: text-classification
   model: cardiffnlp/twitter-roberta-base-sentiment-latest
   processor: cardiffnlp/twitter-roberta-base-sentiment-latest
   library: null
@@ -33,13 +33,13 @@ backend:
 launcher:
   name: process
   _target_: optimum_benchmark.launchers.process.launcher.ProcessLauncher
-  device_isolation: false
+  device_isolation: true
   device_isolation_action: warn
   start_method: spawn
 benchmark:
   name: energy_star
   _target_: optimum_benchmark.benchmarks.energy_star.benchmark.EnergyStarBenchmark
-  dataset_name: EnergyStarAI/text_generation
+  dataset_name: EnergyStarAI/text_classification
   dataset_config: ''
   dataset_split: train
   num_samples: 1000
@@ -62,11 +62,9 @@ benchmark:
   warmup_runs: 10
   energy: true
   forward_kwargs: {}
-  generate_kwargs:
-    max_new_tokens: 10
-    min_new_tokens: 10
+  generate_kwargs: {}
   call_kwargs: {}
-experiment_name: text_generation
+experiment_name: text_classification
 environment:
   cpu: ' AMD EPYC 7R32'
   cpu_count: 48

.hydra/hydra.yaml

@@ -2,7 +2,7 @@ hydra:
   run:
     dir: ./runs/
   sweep:
-    dir: sweeps/${experiment_name}/${backend.model}/${now:%Y-%m-%d-%H-%M-%S}
+    dir: sweeps/${experiment_name}/${now:%Y-%m-%d-%H-%M-%S}
     subdir: ${hydra.job.num}
   launcher:
     _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
@@ -129,7 +129,7 @@ hydra:
     override_dirname: backend.model=cardiffnlp/twitter-roberta-base-sentiment-latest,backend.processor=cardiffnlp/twitter-roberta-base-sentiment-latest
     id: ???
     num: ???
-    config_name: text_generation
+    config_name: text_classification
     env_set:
       OVERRIDE_BENCHMARKS: '1'
     env_copy: []

cli.log

@@ -1,133 +1,31 @@
-[2024-10-07 18:19:03,057][launcher][INFO] - ََAllocating process launcher
-[2024-10-07 18:19:03,057][process][INFO] - 	+ Setting multiprocessing start method to spawn.
-[2024-10-07 18:19:03,072][device-isolation][INFO] - 	+ Launched device(s) isolation process 178
-[2024-10-07 18:19:03,072][device-isolation][INFO] - 	+ Isolating device(s) [0]
-[2024-10-07 18:19:03,078][process][INFO] - 	+ Launched benchmark in isolated process 179.
-[PROC-0][2024-10-07 18:19:05,709][datasets][INFO] - PyTorch version 2.4.0 available.
-[PROC-0][2024-10-07 18:19:06,961][backend][INFO] - َAllocating pytorch backend
-[PROC-0][2024-10-07 18:19:06,962][backend][INFO] - 	+ Setting random seed to 42
-[PROC-0][2024-10-07 18:19:07,843][pytorch][INFO] - 	+ Using AutoModel class AutoModelForSequenceClassification
-[PROC-0][2024-10-07 18:19:07,844][pytorch][INFO] - 	+ Creating backend temporary directory
-[PROC-0][2024-10-07 18:19:07,844][pytorch][INFO] - 	+ Loading model with random weights
-[PROC-0][2024-10-07 18:19:07,844][pytorch][INFO] - 	+ Creating no weights model
-[PROC-0][2024-10-07 18:19:07,844][pytorch][INFO] - 	+ Creating no weights model directory
-[PROC-0][2024-10-07 18:19:07,844][pytorch][INFO] - 	+ Creating no weights model state dict
-[PROC-0][2024-10-07 18:19:07,871][pytorch][INFO] - 	+ Saving no weights model safetensors
-[PROC-0][2024-10-07 18:19:07,872][pytorch][INFO] - 	+ Saving no weights model pretrained config
-[PROC-0][2024-10-07 18:19:07,872][pytorch][INFO] - 	+ Loading no weights AutoModel
-[PROC-0][2024-10-07 18:19:07,872][pytorch][INFO] - 	+ Loading model directly on device: cuda
-[PROC-0][2024-10-07 18:19:08,077][pytorch][INFO] - 	+ Turning on model's eval mode
-[PROC-0][2024-10-07 18:19:08,084][benchmark][INFO] - Allocating energy_star benchmark
-[PROC-0][2024-10-07 18:19:08,084][energy_star][INFO] - 	+ Loading raw dataset
-[PROC-0][2024-10-07 18:19:08,967][energy_star][INFO] - 	+ Initializing Inference report
-[PROC-0][2024-10-07 18:19:08,968][energy][INFO] - 	+ Tracking GPU energy on devices [0]
-[PROC-0][2024-10-07 18:19:13,187][energy_star][INFO] - 	+ Preprocessing dataset
-[PROC-0][2024-10-07 18:19:13,598][energy][INFO] - 	+ Saving codecarbon emission data to preprocess_codecarbon.json
-[PROC-0][2024-10-07 18:19:13,598][energy_star][INFO] - 	+ Preparing backend for Inference
-[PROC-0][2024-10-07 18:19:13,598][energy_star][INFO] - 	+ Initialising dataloader
-[PROC-0][2024-10-07 18:19:13,598][energy_star][INFO] - 	+ Warming up backend for Inference
-[PROC-0][2024-10-07 18:19:14,207][energy_star][INFO] - 	+ Running Inference energy tracking for 10 iterations
-[PROC-0][2024-10-07 18:19:14,208][energy_star][INFO] - 	+ Iteration 1/10
-[2024-10-07 18:19:15,147][experiment][ERROR] - Error during experiment
-[2024-10-07 18:19:18,425][launcher][INFO] - ََAllocating process launcher
-[2024-10-07 18:19:18,425][process][INFO] - 	+ Setting multiprocessing start method to spawn.
-[2024-10-07 18:19:18,439][process][INFO] - 	+ Launched benchmark in isolated process 423.
-[PROC-0][2024-10-07 18:19:21,034][datasets][INFO] - PyTorch version 2.4.0 available.
-[PROC-0][2024-10-07 18:19:21,939][backend][INFO] - َAllocating pytorch backend
-[PROC-0][2024-10-07 18:19:21,940][backend][INFO] - 	+ Setting random seed to 42
-[PROC-0][2024-10-07 18:19:22,505][pytorch][INFO] - 	+ Using AutoModel class AutoModelForCausalLM
-[PROC-0][2024-10-07 18:19:22,505][pytorch][INFO] - 	+ Creating backend temporary directory
-[PROC-0][2024-10-07 18:19:22,505][pytorch][INFO] - 	+ Loading model with random weights
-[PROC-0][2024-10-07 18:19:22,505][pytorch][INFO] - 	+ Creating no weights model
-[PROC-0][2024-10-07 18:19:22,505][pytorch][INFO] - 	+ Creating no weights model directory
-[PROC-0][2024-10-07 18:19:22,505][pytorch][INFO] - 	+ Creating no weights model state dict
-[PROC-0][2024-10-07 18:19:22,527][pytorch][INFO] - 	+ Saving no weights model safetensors
-[PROC-0][2024-10-07 18:19:22,528][pytorch][INFO] - 	+ Saving no weights model pretrained config
-[PROC-0][2024-10-07 18:19:22,529][pytorch][INFO] - 	+ Loading no weights AutoModel
-[PROC-0][2024-10-07 18:19:22,529][pytorch][INFO] - 	+ Loading model directly on device: cuda
-[PROC-0][2024-10-07 18:19:22,697][pytorch][INFO] - 	+ Turning on model's eval mode
-[PROC-0][2024-10-07 18:19:22,703][benchmark][INFO] - Allocating energy_star benchmark
-[PROC-0][2024-10-07 18:19:22,703][energy_star][INFO] - 	+ Loading raw dataset
-[PROC-0][2024-10-07 18:19:23,663][energy_star][INFO] - 	+ Updating Text Generation kwargs with default values
-[PROC-0][2024-10-07 18:19:23,663][energy_star][INFO] - 	+ Initializing Text Generation report
-[PROC-0][2024-10-07 18:19:23,663][energy][INFO] - 	+ Tracking GPU energy on devices [0]
-[PROC-0][2024-10-07 18:19:27,873][energy_star][INFO] - 	+ Preprocessing dataset
-[PROC-0][2024-10-07 18:19:28,795][energy][INFO] - 	+ Saving codecarbon emission data to preprocess_codecarbon.json
-[PROC-0][2024-10-07 18:19:28,796][energy_star][INFO] - 	+ Preparing backend for Inference
-[PROC-0][2024-10-07 18:19:28,796][energy_star][INFO] - 	+ Initialising dataloader
-[PROC-0][2024-10-07 18:19:28,796][energy_star][INFO] - 	+ Warming up backend for Inference
-[PROC-0][2024-10-07 18:19:29,524][energy_star][INFO] - 	+ Additional warmup for Text Generation
-[PROC-0][2024-10-07 18:19:29,607][energy_star][INFO] - 	+ Running Text Generation energy tracking for 10 iterations
-[PROC-0][2024-10-07 18:19:29,607][energy_star][INFO] - 	+ Prefill iteration 1/10
-[PROC-0][2024-10-07 18:19:39,586][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
-[PROC-0][2024-10-07 18:19:39,587][energy_star][INFO] - 	+ Prefill iteration 2/10
-[PROC-0][2024-10-07 18:19:49,515][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
-[PROC-0][2024-10-07 18:19:49,515][energy_star][INFO] - 	+ Prefill iteration 3/10
-[PROC-0][2024-10-07 18:19:59,491][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
-[PROC-0][2024-10-07 18:19:59,491][energy_star][INFO] - 	+ Prefill iteration 4/10
-[PROC-0][2024-10-07 18:20:09,475][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
-[PROC-0][2024-10-07 18:20:09,476][energy_star][INFO] - 	+ Prefill iteration 5/10
-[PROC-0][2024-10-07 18:20:19,452][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
-[PROC-0][2024-10-07 18:20:19,452][energy_star][INFO] - 	+ Prefill iteration 6/10
-[PROC-0][2024-10-07 18:20:29,437][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
-[PROC-0][2024-10-07 18:20:29,437][energy_star][INFO] - 	+ Prefill iteration 7/10
-[PROC-0][2024-10-07 18:20:39,386][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
-[PROC-0][2024-10-07 18:20:39,387][energy_star][INFO] - 	+ Prefill iteration 8/10
-[PROC-0][2024-10-07 18:20:49,329][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
-[PROC-0][2024-10-07 18:20:49,329][energy_star][INFO] - 	+ Prefill iteration 9/10
-[PROC-0][2024-10-07 18:20:59,249][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
-[PROC-0][2024-10-07 18:20:59,250][energy_star][INFO] - 	+ Prefill iteration 10/10
-[PROC-0][2024-10-07 18:21:09,177][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
-[PROC-0][2024-10-07 18:21:09,177][energy_star][INFO] - 	+ Decoding iteration 1/10
-[2024-10-07 18:21:10,260][experiment][ERROR] - Error during experiment
-[2024-10-07 18:21:13,524][launcher][INFO] - ََAllocating process launcher
-[2024-10-07 18:21:13,524][process][INFO] - 	+ Setting multiprocessing start method to spawn.
-[2024-10-07 18:21:13,538][process][INFO] - 	+ Launched benchmark in isolated process 608.
-[PROC-0][2024-10-07 18:21:16,135][datasets][INFO] - PyTorch version 2.4.0 available.
-[PROC-0][2024-10-07 18:21:17,043][backend][INFO] - َAllocating pytorch backend
-[PROC-0][2024-10-07 18:21:17,043][backend][INFO] - 	+ Setting random seed to 42
-[PROC-0][2024-10-07 18:21:17,540][pytorch][INFO] - 	+ Using AutoModel class AutoModelForCausalLM
-[PROC-0][2024-10-07 18:21:17,541][pytorch][INFO] - 	+ Creating backend temporary directory
-[PROC-0][2024-10-07 18:21:17,541][pytorch][INFO] - 	+ Loading model with random weights
-[PROC-0][2024-10-07 18:21:17,541][pytorch][INFO] - 	+ Creating no weights model
-[PROC-0][2024-10-07 18:21:17,541][pytorch][INFO] - 	+ Creating no weights model directory
-[PROC-0][2024-10-07 18:21:17,541][pytorch][INFO] - 	+ Creating no weights model state dict
-[PROC-0][2024-10-07 18:21:17,563][pytorch][INFO] - 	+ Saving no weights model safetensors
-[PROC-0][2024-10-07 18:21:17,564][pytorch][INFO] - 	+ Saving no weights model pretrained config
-[PROC-0][2024-10-07 18:21:17,565][pytorch][INFO] - 	+ Loading no weights AutoModel
-[PROC-0][2024-10-07 18:21:17,565][pytorch][INFO] - 	+ Loading model directly on device: cuda
-[PROC-0][2024-10-07 18:21:17,725][pytorch][INFO] - 	+ Turning on model's eval mode
-[PROC-0][2024-10-07 18:21:17,731][benchmark][INFO] - Allocating energy_star benchmark
-[PROC-0][2024-10-07 18:21:17,732][energy_star][INFO] - 	+ Loading raw dataset
-[PROC-0][2024-10-07 18:21:18,176][energy_star][INFO] - 	+ Updating Text Generation kwargs with default values
-[PROC-0][2024-10-07 18:21:18,176][energy_star][INFO] - 	+ Initializing Text Generation report
-[PROC-0][2024-10-07 18:21:18,176][energy][INFO] - 	+ Tracking GPU energy on devices [0]
-[PROC-0][2024-10-07 18:21:22,361][energy_star][INFO] - 	+ Preprocessing dataset
-[PROC-0][2024-10-07 18:21:22,394][energy][INFO] - 	+ Saving codecarbon emission data to preprocess_codecarbon.json
-[PROC-0][2024-10-07 18:21:22,394][energy_star][INFO] - 	+ Preparing backend for Inference
-[PROC-0][2024-10-07 18:21:22,394][energy_star][INFO] - 	+ Initialising dataloader
-[PROC-0][2024-10-07 18:21:22,395][energy_star][INFO] - 	+ Warming up backend for Inference
-[PROC-0][2024-10-07 18:21:23,134][energy_star][INFO] - 	+ Additional warmup for Text Generation
-[PROC-0][2024-10-07 18:21:23,217][energy_star][INFO] - 	+ Running Text Generation energy tracking for 10 iterations
-[PROC-0][2024-10-07 18:21:23,217][energy_star][INFO] - 	+ Prefill iteration 1/10
-[PROC-0][2024-10-07 18:21:33,219][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
-[PROC-0][2024-10-07 18:21:33,219][energy_star][INFO] - 	+ Prefill iteration 2/10
-[PROC-0][2024-10-07 18:21:43,173][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
-[PROC-0][2024-10-07 18:21:43,174][energy_star][INFO] - 	+ Prefill iteration 3/10
-[PROC-0][2024-10-07 18:21:53,105][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
-[PROC-0][2024-10-07 18:21:53,106][energy_star][INFO] - 	+ Prefill iteration 4/10
-[PROC-0][2024-10-07 18:22:03,003][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
-[PROC-0][2024-10-07 18:22:03,003][energy_star][INFO] - 	+ Prefill iteration 5/10
-[PROC-0][2024-10-07 18:22:12,906][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
-[PROC-0][2024-10-07 18:22:12,906][energy_star][INFO] - 	+ Prefill iteration 6/10
-[PROC-0][2024-10-07 18:22:22,796][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
-[PROC-0][2024-10-07 18:22:22,796][energy_star][INFO] - 	+ Prefill iteration 7/10
-[PROC-0][2024-10-07 18:22:32,699][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
-[PROC-0][2024-10-07 18:22:32,700][energy_star][INFO] - 	+ Prefill iteration 8/10
-[PROC-0][2024-10-07 18:22:42,667][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
-[PROC-0][2024-10-07 18:22:42,667][energy_star][INFO] - 	+ Prefill iteration 9/10
-[PROC-0][2024-10-07 18:22:52,604][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
-[PROC-0][2024-10-07 18:22:52,604][energy_star][INFO] - 	+ Prefill iteration 10/10
-[PROC-0][2024-10-07 18:23:02,551][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
-[PROC-0][2024-10-07 18:23:02,551][energy_star][INFO] - 	+ Decoding iteration 1/10
-[2024-10-07 18:23:03,646][experiment][ERROR] - Error during experiment
+[2024-10-07 19:38:56,544][launcher][INFO] - ََAllocating process launcher
+[2024-10-07 19:38:56,544][process][INFO] - 	+ Setting multiprocessing start method to spawn.
+[2024-10-07 19:38:56,561][device-isolation][INFO] - 	+ Launched device(s) isolation process 179
+[2024-10-07 19:38:56,561][device-isolation][INFO] - 	+ Isolating device(s) [0]
+[2024-10-07 19:38:56,567][process][INFO] - 	+ Launched benchmark in isolated process 180.
+[PROC-0][2024-10-07 19:38:59,407][datasets][INFO] - PyTorch version 2.4.0 available.
+[PROC-0][2024-10-07 19:39:00,877][backend][INFO] - َAllocating pytorch backend
+[PROC-0][2024-10-07 19:39:00,877][backend][INFO] - 	+ Setting random seed to 42
+[PROC-0][2024-10-07 19:39:01,633][pytorch][INFO] - 	+ Using AutoModel class AutoModelForSequenceClassification
+[PROC-0][2024-10-07 19:39:01,634][pytorch][INFO] - 	+ Creating backend temporary directory
+[PROC-0][2024-10-07 19:39:01,634][pytorch][INFO] - 	+ Loading model with random weights
+[PROC-0][2024-10-07 19:39:01,634][pytorch][INFO] - 	+ Creating no weights model
+[PROC-0][2024-10-07 19:39:01,634][pytorch][INFO] - 	+ Creating no weights model directory
+[PROC-0][2024-10-07 19:39:01,634][pytorch][INFO] - 	+ Creating no weights model state dict
+[PROC-0][2024-10-07 19:39:01,643][pytorch][INFO] - 	+ Saving no weights model safetensors
+[PROC-0][2024-10-07 19:39:01,643][pytorch][INFO] - 	+ Saving no weights model pretrained config
+[PROC-0][2024-10-07 19:39:01,644][pytorch][INFO] - 	+ Loading no weights AutoModel
+[PROC-0][2024-10-07 19:39:01,644][pytorch][INFO] - 	+ Loading model directly on device: cuda
+[PROC-0][2024-10-07 19:39:01,871][pytorch][INFO] - 	+ Turning on model's eval mode
+[PROC-0][2024-10-07 19:39:01,878][benchmark][INFO] - Allocating energy_star benchmark
+[PROC-0][2024-10-07 19:39:01,878][energy_star][INFO] - 	+ Loading raw dataset
+[PROC-0][2024-10-07 19:39:02,892][energy_star][INFO] - 	+ Initializing Inference report
+[PROC-0][2024-10-07 19:39:02,893][energy][INFO] - 	+ Tracking GPU energy on devices [0]
+[PROC-0][2024-10-07 19:39:07,094][energy_star][INFO] - 	+ Preprocessing dataset
+[PROC-0][2024-10-07 19:39:07,507][energy][INFO] - 	+ Saving codecarbon emission data to preprocess_codecarbon.json
+[PROC-0][2024-10-07 19:39:07,507][energy_star][INFO] - 	+ Preparing backend for Inference
+[PROC-0][2024-10-07 19:39:07,508][energy_star][INFO] - 	+ Initialising dataloader
+[PROC-0][2024-10-07 19:39:07,508][energy_star][INFO] - 	+ Warming up backend for Inference
+[PROC-0][2024-10-07 19:39:08,176][energy_star][INFO] - 	+ Running Inference energy tracking for 10 iterations
+[PROC-0][2024-10-07 19:39:08,177][energy_star][INFO] - 	+ Iteration 1/10
+[2024-10-07 19:39:09,147][experiment][ERROR] - Error during experiment

experiment_config.json

@@ -1,10 +1,10 @@
 {
-    "experiment_name": "text_generation",
+    "experiment_name": "text_classification",
     "backend": {
         "name": "pytorch",
         "version": "2.4.0",
         "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
-        "task": "text-generation",
+        "task": "text-classification",
         "model": "cardiffnlp/twitter-roberta-base-sentiment-latest",
         "processor": "cardiffnlp/twitter-roberta-base-sentiment-latest",
         "library": "transformers",
@@ -41,14 +41,14 @@
     "launcher": {
         "name": "process",
         "_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
-        "device_isolation": false,
+        "device_isolation": true,
         "device_isolation_action": "warn",
         "start_method": "spawn"
     },
     "benchmark": {
         "name": "energy_star",
         "_target_": "optimum_benchmark.benchmarks.energy_star.benchmark.EnergyStarBenchmark",
-        "dataset_name": "EnergyStarAI/text_generation",
+        "dataset_name": "EnergyStarAI/text_classification",
         "dataset_config": "",
         "dataset_split": "train",
         "num_samples": 1000,
@@ -72,10 +72,7 @@
         "warmup_runs": 10,
         "energy": true,
         "forward_kwargs": {},
-        "generate_kwargs": {
-            "max_new_tokens": 10,
-            "min_new_tokens": 10
-        },
+        "generate_kwargs": {},
         "call_kwargs": {}
     },
     "environment": {

preprocess_codecarbon.json

@@ -1,17 +1,17 @@
 {
-    "timestamp": "2024-10-07T18:21:22",
+    "timestamp": "2024-10-07T19:39:07",
     "project_name": "codecarbon",
-    "run_id": "7c0f3a34-f2fd-4b75-8053-9a1cffb59eae",
-    "duration": -1727837488.2322512,
-    "emissions": 1.4065464079452445e-07,
-    "emissions_rate": 4.680032608026597e-06,
+    "run_id": "774e7719-f934-4399-b7a4-a1b8217e79d4",
+    "duration": -1727736284.8784947,
+    "emissions": 4.616095917489861e-06,
+    "emissions_rate": 1.1266085626931122e-05,
     "cpu_power": 42.5,
-    "gpu_power": 0.0,
-    "ram_power": 0.2622342109680176,
-    "cpu_energy": 3.789163760100362e-07,
-    "gpu_energy": 0.0,
-    "ram_energy": 2.122750170069354e-09,
-    "energy_consumed": 3.8103912618010555e-07,
+    "gpu_power": 66.90181316396337,
+    "ram_power": 0.2709217071533203,
+    "cpu_energy": 4.862197849191338e-06,
+    "gpu_energy": 7.612228312581237e-06,
+    "ram_energy": 3.076488509377195e-08,
+    "energy_consumed": 1.2505191046866349e-05,
     "country_name": "United States",
     "country_iso_code": "USA",
     "region": "virginia",