Upload cuda_training_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json with huggingface_hub

cuda_training_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json

@@ -112,7 +112,7 @@
         "overall": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 1343.041536,
+                "max_ram": 1342.38208,
                 "max_global_vram": 3384.27904,
                 "max_process_vram": 0.0,
                 "max_reserved": 2728.394752,
@@ -121,42 +121,42 @@
             "latency": {
                 "unit": "s",
                 "values": [
-                    0.3532799987792969,
-                    0.04629094314575195,
-                    0.04604313659667969,
-                    0.045943809509277345,
-                    0.04672716903686523
+                    0.35693978881835936,
+                    0.04813721466064453,
+                    0.04662169647216797,
+                    0.04642099380493164,
+                    0.04724224090576172
                 ],
                 "count": 5,
-                "total": 0.5382850570678711,
-                "mean": 0.10765701141357423,
-                "p50": 0.04629094314575195,
-                "p90": 0.23065886688232426,
-                "p95": 0.2919694328308105,
-                "p99": 0.3410178855895996,
-                "stdev": 0.12281179162311413,
-                "stdev_": 114.07690963231501
+                "total": 0.5453619346618652,
+                "mean": 0.10907238693237305,
+                "p50": 0.04724224090576172,
+                "p90": 0.23341875915527344,
+                "p95": 0.2951792739868163,
+                "p99": 0.34458768585205074,
+                "stdev": 0.12393514182420734,
+                "stdev_": 113.62650558023407
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 92.88758687145872
+                "value": 91.68223306784503
             },
             "energy": {
                 "unit": "kWh",
-                "cpu": 8.653095223611257e-06,
-                "ram": 4.722668345138327e-06,
-                "gpu": 1.3891122223999835e-05,
-                "total": 2.7266885792749418e-05
+                "cpu": 8.721519113889068e-06,
+                "ram": 4.758430481323827e-06,
+                "gpu": 1.6813069005998035e-05,
+                "total": 3.029301860121093e-05
             },
             "efficiency": {
                 "unit": "samples/kWh",
-                "value": 366745.2189446261
+                "value": 330109.06346587266
             }
         },
         "warmup": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 1343.041536,
+                "max_ram": 1342.38208,
                 "max_global_vram": 3384.27904,
                 "max_process_vram": 0.0,
                 "max_reserved": 2728.394752,
@@ -165,22 +165,22 @@
             "latency": {
                 "unit": "s",
                 "values": [
-                    0.3532799987792969,
-                    0.04629094314575195
+                    0.35693978881835936,
+                    0.04813721466064453
                 ],
                 "count": 2,
-                "total": 0.39957094192504883,
-                "mean": 0.19978547096252441,
-                "p50": 0.19978547096252441,
-                "p90": 0.3225810932159424,
-                "p95": 0.3379305459976196,
-                "p99": 0.35021010822296145,
-                "stdev": 0.15349452781677247,
-                "stdev_": 76.82967488940416
+                "total": 0.4050770034790039,
+                "mean": 0.20253850173950194,
+                "p50": 0.20253850173950194,
+                "p90": 0.32605953140258787,
+                "p95": 0.3414996601104736,
+                "p99": 0.35385176307678223,
+                "stdev": 0.15440128707885742,
+                "stdev_": 76.23305482798676
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 20.02147593981104
+                "value": 19.749331438941237
             },
             "energy": null,
             "efficiency": null
@@ -188,7 +188,7 @@
         "train": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 1343.041536,
+                "max_ram": 1342.38208,
                 "max_global_vram": 3384.27904,
                 "max_process_vram": 0.0,
                 "max_reserved": 2728.394752,
@@ -197,23 +197,23 @@
             "latency": {
                 "unit": "s",
                 "values": [
-                    0.04604313659667969,
-                    0.045943809509277345,
-                    0.04672716903686523
+                    0.04662169647216797,
+                    0.04642099380493164,
+                    0.04724224090576172
                 ],
                 "count": 3,
-                "total": 0.13871411514282228,
-                "mean": 0.04623803838094076,
-                "p50": 0.04604313659667969,
-                "p90": 0.046590362548828125,
-                "p95": 0.046658765792846675,
-                "p99": 0.04671348838806152,
-                "stdev": 0.00034823657332029296,
-                "stdev_": 0.7531387262826347
+                "total": 0.14028493118286134,
+                "mean": 0.04676164372762045,
+                "p50": 0.04662169647216797,
+                "p90": 0.04711813201904297,
+                "p95": 0.047180186462402345,
+                "p99": 0.047229830017089844,
+                "stdev": 0.0003495717626725231,
+                "stdev_": 0.7475608956535534
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 129.76329035777584
+                "value": 128.31028855506233
             },
             "energy": null,
             "efficiency": null