Upload cuda_training_transformers_text-classification_FacebookAI/roberta-base/benchmark.json with huggingface_hub

cuda_training_transformers_text-classification_FacebookAI/roberta-base/benchmark.json

@@ -112,7 +112,7 @@
         "overall": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 1331.748864,
+                "max_ram": 1329.8688,
                 "max_global_vram": 3384.27904,
                 "max_process_vram": 0.0,
                 "max_reserved": 2728.394752,
@@ -121,42 +121,42 @@
             "latency": {
                 "unit": "s",
                 "values": [
-                    0.34704385375976565,
-                    0.04640972900390625,
-                    0.045623294830322264,
-                    0.04578508758544922,
-                    0.045638656616210936
+                    0.3421890563964844,
+                    0.04677017593383789,
+                    0.046205951690673826,
+                    0.04654694366455078,
+                    0.04604620742797851
                 ],
                 "count": 5,
-                "total": 0.5305006217956543,
-                "mean": 0.10610012435913085,
-                "p50": 0.04578508758544922,
-                "p90": 0.22679020385742193,
-                "p95": 0.2869170288085937,
-                "p99": 0.3350184887695313,
-                "stdev": 0.12047220732405016,
-                "stdev_": 113.54577391094496
+                "total": 0.5277583351135253,
+                "mean": 0.10555166702270506,
+                "p50": 0.04654694366455078,
+                "p90": 0.2240215042114258,
+                "p95": 0.28310528030395504,
+                "p99": 0.3303723011779785,
+                "stdev": 0.11831896616577636,
+                "stdev_": 112.09578162353888
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 94.25059640978085
+                "value": 94.74033221899674
             },
             "energy": {
                 "unit": "kWh",
-                "cpu": 8.664116181941968e-06,
-                "ram": 4.727786925613328e-06,
-                "gpu": 1.4468344908001585e-05,
-                "total": 2.7860248015556877e-05
+                "cpu": 8.568181451389655e-06,
+                "ram": 4.650179886426839e-06,
+                "gpu": 1.4687233971999968e-05,
+                "total": 2.7905595309816462e-05
             },
             "efficiency": {
                 "unit": "samples/kWh",
-                "value": 358934.3495584139
+                "value": 358351.0722124699
             }
         },
         "warmup": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 1331.748864,
+                "max_ram": 1329.8688,
                 "max_global_vram": 3384.27904,
                 "max_process_vram": 0.0,
                 "max_reserved": 2728.394752,
@@ -165,22 +165,22 @@
             "latency": {
                 "unit": "s",
                 "values": [
-                    0.34704385375976565,
-                    0.04640972900390625
+                    0.3421890563964844,
+                    0.04677017593383789
                 ],
                 "count": 2,
-                "total": 0.3934535827636719,
-                "mean": 0.19672679138183596,
-                "p50": 0.19672679138183596,
-                "p90": 0.31698044128417974,
-                "p95": 0.33201214752197267,
-                "p99": 0.34403751251220704,
-                "stdev": 0.15031706237792972,
-                "stdev_": 76.4090449104985
+                "total": 0.38895923233032226,
+                "mean": 0.19447961616516113,
+                "p50": 0.19447961616516113,
+                "p90": 0.3126471683502198,
+                "p95": 0.32741811237335205,
+                "p99": 0.33923486759185795,
+                "stdev": 0.14770944023132324,
+                "stdev_": 75.95111670000496
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 20.332766939893908
+                "value": 20.56770821988364
             },
             "energy": null,
             "efficiency": null
@@ -188,7 +188,7 @@
         "train": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 1331.748864,
+                "max_ram": 1329.8688,
                 "max_global_vram": 3384.27904,
                 "max_process_vram": 0.0,
                 "max_reserved": 2728.394752,
@@ -197,23 +197,23 @@
             "latency": {
                 "unit": "s",
                 "values": [
-                    0.045623294830322264,
-                    0.04578508758544922,
-                    0.045638656616210936
+                    0.046205951690673826,
+                    0.04654694366455078,
+                    0.04604620742797851
                 ],
                 "count": 3,
-                "total": 0.13704703903198243,
-                "mean": 0.045682346343994144,
-                "p50": 0.045638656616210936,
-                "p90": 0.04575580139160156,
-                "p95": 0.04577044448852539,
-                "p99": 0.045782158966064454,
-                "stdev": 7.29192162063404e-05,
-                "stdev_": 0.15962230936486713
+                "total": 0.13879910278320312,
+                "mean": 0.04626636759440104,
+                "p50": 0.046205951690673826,
+                "p90": 0.04647874526977539,
+                "p95": 0.046512844467163084,
+                "p99": 0.04654012382507324,
+                "stdev": 0.00020884085762692161,
+                "stdev_": 0.45138805677970417
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 131.34176504024558
+                "value": 129.68383540717156
             },
             "energy": null,
             "efficiency": null